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  • 1. Abbas, S
    et al.
    Linseisen, J
    Rohrmann, S
    Beulens, JWJ
    Buijsse, B
    Amiano, P
    Ardanaz, E
    Balkau, B
    Boeing, H
    Clavel-Chapelon, F
    Fagherazzi, G
    Franks, Paul W
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine.
    Gavrila, D
    Grioni, S
    Kaaks, R
    Key, TJ
    Khaw, KT
    Kuehn, T
    Mattiello, A
    Molina-Montes, E
    Nilsson, PM
    Overvad, K
    Quiros, JR
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Sacerdote, C
    Saieva, C
    Slimani, N
    Sluijs, I
    Spijkerman, AMW
    Tjonneland, A
    Tumino, R
    van der A, DL
    Zamora-Ros, R
    Sharp, SJ
    Langenberg, C
    Forouhi, NG
    Riboli, E
    Wareham, NJ
    Dietary vitamin D intake and risk of type 2 diabetes in the European Prospective Investigation into Cancer and Nutrition: the EPIC-InterAct study2014In: European Journal of Clinical Nutrition, ISSN 0954-3007, E-ISSN 1476-5640, Vol. 68, no 2, p. 196-202Article in journal (Refereed)
    Abstract [en]

    BACKGROUND/OBJECTIVES: Prospective cohort studies have indicated that serum vitamin D levels are inversely related to risk of type 2 diabetes. However, such studies cannot determine the source of vitamin D. Therefore, we examined the association of dietary vitamin D intake with incident type 2 diabetes within the European Prospective Investigation into Cancer and Nutrition (EPIC)-InterAct study in a heterogeneous European population including eight countries with large geographical variation.

    SUBJECTS/METHODS: Using a case-cohort design, 11 245 incident cases of type 2 diabetes and a representative subcohort (N = 15 798) were included in the analyses. Hazard ratios (HR) and 95% confidence intervals (CIs) for type 2 diabetes were calculated using a Prentice-weighted Cox regression adjusted for potential confounders. Twenty-four-hour diet-recall data from a subsample (N = 2347) were used to calibrate habitual intake data derived from dietary questionnaires.

    RESULTS: Median follow-up time was 10.8 years. Dietary vitamin D intake was not significantly associated with the risk of type 2 diabetes. HR and 95% CIs for the highest compared to the lowest quintile of uncalibrated vitamin D intake was 1.09 (0.97-1.22) (P-trend = 0.17). No associations were observed in a sex-specific analysis. The overall pooled effect (HR (95% CI)) using the continuous calibrated variable was 1.00 (0.97-1.03) per increase of 1 mg/day dietary vitamin D.

    CONCLUSIONS: This observational study does not support an association between higher dietary vitamin D intake and type 2 diabetes incidence. This result has to be interpreted in light of the limited contribution of dietary vitamin D on the overall vitamin D status of a person.

  • 2. Albrechtsen, A.
    et al.
    Grarup, N.
    Li, Y.
    Sparso, T.
    Tian, G.
    Cao, H.
    Jiang, T.
    Kim, S. Y.
    Korneliussen, T.
    Li, Q.
    Nie, C.
    Wu, R.
    Skotte, L.
    Morris, A. P.
    Ladenvall, C.
    Cauchi, S.
    Stancakova, A.
    Andersen, G.
    Astrup, A.
    Banasik, K.
    Bennett, A. J.
    Bolund, L.
    Charpentier, G.
    Chen, Y.
    Dekker, J. M.
    Doney, A. S. F.
    Dorkhan, M.
    Forsen, T.
    Frayling, T. M.
    Groves, C. J.
    Gui, Y.
    Hallmans, Göran
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Nutritional Research. Umeå University, Faculty of Medicine, Department of Biobank Research.
    Hattersley, A. T.
    He, K.
    Hitman, G. A.
    Holmkvist, J.
    Huang, S.
    Jiang, H.
    Jin, X.
    Justesen, J. M.
    Kristiansen, K.
    Kuusisto, J.
    Lajer, M.
    Lantieri, O.
    Li, W.
    Liang, H.
    Liao, Q.
    Liu, X.
    Ma, T.
    Ma, X.
    Manijak, M. P.
    Marre, M.
    Mokrosinski, J.
    Morris, A. D.
    Mu, B.
    Nielsen, A. A.
    Nijpels, G.
    Nilsson, P.
    Palmer, C. N. A.
    Rayner, N. W.
    Renstrom, F.
    Ribel-Madsen, R.
    Robertson, N.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Rossing, P.
    Schwartz, T. W.
    Slagboom, P. E.
    Sterner, M.
    Tang, M.
    Tarnow, L.
    Tuomi, T.
    van't Riet, E.
    van Leeuwen, N.
    Varga, T. V.
    Vestmar, M. A.
    Walker, M.
    Wang, B.
    Wang, Y.
    Wu, H.
    Xi, F.
    Yengo, L.
    Yu, C.
    Zhang, X.
    Zhang, J.
    Zhang, Q.
    Zhang, W.
    Zheng, H.
    Zhou, Y.
    Altshuler, D.
    't Hart, L. M.
    Franks, Paul W.
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine.
    Balkau, B.
    Froguel, P.
    McCarthy, M. I.
    Laakso, M.
    Groop, L.
    Christensen, C.
    Brandslund, I.
    Lauritzen, T.
    Witte, D. R.
    Linneberg, A.
    Jorgensen, T.
    Hansen, T.
    Wang, J.
    Nielsen, R.
    Pedersen, O.
    Exome sequencing-driven discovery of coding polymorphisms associated with common metabolic phenotypes2013In: Diabetologia, ISSN 0012-186X, E-ISSN 1432-0428, Vol. 56, no 2, p. 298-310Article in journal (Refereed)
    Abstract [en]

    Human complex metabolic traits are in part regulated by genetic determinants. Here we applied exome sequencing to identify novel associations of coding polymorphisms at minor allele frequencies (MAFs) > 1% with common metabolic phenotypes. The study comprised three stages. We performed medium-depth (8x) whole exome sequencing in 1,000 cases with type 2 diabetes, BMI > 27.5 kg/m(2) and hypertension and in 1,000 controls (stage 1). We selected 16,192 polymorphisms nominally associated (p < 0.05) with case-control status, from four selected annotation categories or from loci reported to associate with metabolic traits. These variants were genotyped in 15,989 Danes to search for association with 12 metabolic phenotypes (stage 2). In stage 3, polymorphisms showing potential associations were genotyped in a further 63,896 Europeans. Exome sequencing identified 70,182 polymorphisms with MAF > 1%. In stage 2 we identified 51 potential associations with one or more of eight metabolic phenotypes covered by 45 unique polymorphisms. In meta-analyses of stage 2 and stage 3 results, we demonstrated robust associations for coding polymorphisms in CD300LG (fasting HDL-cholesterol: MAF 3.5%, p = 8.5 x 10(-14)), COBLL1 (type 2 diabetes: MAF 12.5%, OR 0.88, p = 1.2 x 10(-11)) and MACF1 (type 2 diabetes: MAF 23.4%, OR 1.10, p = 8.2 x 10(-10)). We applied exome sequencing as a basis for finding genetic determinants of metabolic traits and show the existence of low-frequency and common coding polymorphisms with impact on common metabolic traits. Based on our study, coding polymorphisms with MAF above 1% do not seem to have particularly high effect sizes on the measured metabolic traits.

  • 3.
    Andersen, C. D.
    et al.
    Department of Clinical Sciences, Lund University, Malmö, Sweden.
    Bennet, L.
    Center for Primary Health Care Research, Lund University/Region Skåne, Malmö, Sweden.
    Nyström, Lennarth
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Epidemiology and Global Health.
    Lindblad, U.
    Department of Primary Health Care, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.
    Lindholm, E.
    Department of Clinical Sciences, Lund University, Malmö, Sweden.
    Groop, L.
    Department of Clinical Sciences, Lund University, Malmö, Sweden.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine.
    Worse glycaemic control in LADA patients than in those with type 2 diabetes, despite a longer time on insulin therapy2013In: Diabetologia, ISSN 0012-186X, E-ISSN 1432-0428, Vol. 56, no 2, p. 252-258Article in journal (Refereed)
    Abstract [en]

    Our aim was to study whether glycaemic control differs between individuals with latent autoimmune diabetes in adults (LADA) and patients with type 2 diabetes, and whether it is influenced by time on insulin therapy. We performed a retrospective study of 372 patients with LADA (205 men and 167 women; median age 54 years, range 35-80 years) from Swedish cohorts from SkAyenne (n = 272) and Vasterbotten (n = 100). Age- and sex-matched patients with type 2 diabetes were included as controls. Data on the use of oral hypoglycaemic agents (OHAs), insulin and insulin-OHA combination therapy was retrieved from the medical records. Poor glycaemic control was defined as HbA(1c) a parts per thousand yen7.0% (a parts per thousand yen53 mmol/mol) at follow-up. The individuals with LADA and with type 2 diabetes were followed for an average of 107 months. LADA patients were leaner than type 2 diabetes patients at diagnosis (BMI 27.7 vs 31.0 kg/m(2); p < 0.001) and follow-up (BMI 27.9 vs 30.2 kg/m(2); p < 0.001). Patients with LADA had been treated with insulin for longer than those with type 2 diabetes (53.3 vs 28.8 months; p < 0.001). There was no significant difference between the patient groups with regard to poor glycaemic control at diagnosis, but more patients with LADA (67.8%) than type 2 diabetes patients (53.0%; p < 0.001) had poor glycaemic control at follow-up. Patients with LADA had worse glycaemic control at follow-up compared with participants with type 2 diabetes (OR = 1.8, 95% CI 1.2, 2.7), adjusted for age at diagnosis, HbA(1c), BMI at diagnosis, follow-up time and duration of insulin treatment. Individuals with LADA have worse glycaemic control than patients with type 2 diabetes despite a longer time on insulin therapy.

  • 4. Andersen, Mette K.
    et al.
    Sterner, Maria
    Forsen, Tom
    Käräjämäki, Annemari
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Forsblom, Carol
    Groop, Per-Henrik
    Lahti, Kaj
    Nilsson, Peter M.
    Groop, Leif
    Tuomi, Tiinamaija
    Type 2 diabetes susceptibility gene variants predispose to adult-onset autoimmune diabetes2014In: Diabetologia, ISSN 0012-186X, E-ISSN 1432-0428, Vol. 57, no 9, p. 1859-1868Article in journal (Refereed)
    Abstract [en]

    Aims/hypothesis Latent autoimmune diabetes in adults (LADA) is phenotypically a hybrid of type 1 and type 2 diabetes. Genetically LADA is poorly characterised but does share genetic predisposition with type 1 diabetes. We aimed to improve the genetic characterisation of LADA and hypothesised that type 2 diabetes-associated gene variants also predispose to LADA, and that the associations would be strongest in LADA patients with low levels of GAD autoantibodies (GADA). Methods We assessed 41 type 2 diabetes-associated gene variants in Finnish (phase I) and Swedish (phase II) patients with LADA (n=911) or type 1 diabetes (n=406), all diagnosed after the age of 35 years, as well as in non-diabetic control individuals 40 years or older (n=4,002). Results Variants in the ZMIZ1 (rs12571751, p=4.1 x 10(-5)) and TCF7L2 (rs7903146, p=5.8 x 10(-4)) loci were strongly associated with LADA. Variants in the KCNQ1 (rs2237895, p=0.0012), HHEX (rs1111875, p=0.0024 in Finns) and MTNR1B (rs10830963, p=0.0039) loci showed the strongest association in patients with low GADA, supporting the hypothesis that the disease in these patients is more like type 2 diabetes. In contrast, variants in the KLHDC5 (rs10842994, p=9.5 x 10(-4) in Finns), TP53INP1 (rs896854, p=0.005), CDKAL1 (rs7756992, p=7.0 x 10(-4); rs7754840, p=8.8 x 10(-4)) and PROX1 (rs340874, p=0.003) loci showed the strongest association in patients with high GADA. For type 1 diabetes, a strong association was seen for MTNR1B (rs10830963, p=3.2 x 10(-6)) and HNF1A (rs2650000, p=0.0012). Conclusions/interpretation LADA and adult-onset type 1 diabetes share genetic risk variants with type 2 diabetes, supporting the idea of a hybrid form of diabetes and distinguishing them from patients with classical young-onset type 1 diabetes.

  • 5.
    Backeström, Anna
    et al.
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Eriksson, Sture
    Umeå University, Faculty of Medicine, Department of Community Medicine and Rehabilitation, Geriatric Medicine.
    Nilsson, Lars-Göran
    Olsson, Tommy
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Glucose but not insulin or insulin resistance is associated with memory performance in middle-aged non-diabetic women: a cross sectional study2015In: Diabetology and Metabolic Syndrome, ISSN 1758-5996, E-ISSN 1758-5996, Vol. 7, article id 20Article in journal (Refereed)
    Abstract [en]

    Background: Elevated concentrations of plasma glucose appear to play a role in memory impairment, and it has been suggested that insulin might also have a negative effect on cognitive function. Our aim was to study whether glucose, insulin or insulin resistance are associated with episodic or semantic memory in a non-diabetic and non-demented population. 

    Methods: We linked and matched two population-based data sets identifying 291 participants (127 men and 164 women, mean age of 50.7 +/- 8.0 years). Episodic and semantic memory functions were tested, and fasting plasma insulin, fasting plasma glucose, and 2-hour glucose were analysed along with other potential influencing factors on memory function. Since men and women display different results on memory functions they were analysed separately. Insulin resistance was calculated using the HOMA-IR method. 

    Results: A higher fasting plasma glucose concentration was associated with lower episodic memory in women (r = -0.08, 95% CI -0.14; -0.01), but not in men. Plasma insulin levels and insulin resistance were not associated with episodic or semantic memory in women or in men after adjustments for age, fasting glucose, 2-hour glucose, BMI, education, smoking, cardiovascular disease, hypertension, cholesterol, and physical activity. 

    Conclusions: This indicates that fasting glucose but not insulin, might have impact on episodic memory in middle-aged women.

  • 6.
    Bergqvist, D.
    et al.
    Uppsala Univ, Dept Surg Sci, Stockholm, Sweden .
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine.
    Sawe, J.
    Swedish Board Hlth Technol Assessment, Stockholm, Sweden.
    Cilostazol, a platelet inhibitor, in treating intermittent claudication: A systematic review2011Conference paper (Refereed)
  • 7. Bergqvist, David
    et al.
    Delle, Martin
    Eckerlund, Ingemar
    Marké, Lars-Ake
    Säwe, Juliette
    Holst, Jan
    Mattiasson, Ingrid
    Jogestrand, Tomas
    Jörneskog, Gun
    Klevsgård, Rosemarie
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Troëng, Thomas
    Wahlberg, Eric
    [From primary health care to invasive intervention. The cardiovascular patient's way through the Swedish health care system]2006In: Läkartidningen, ISSN 0023-7205, E-ISSN 1652-7518, Vol. 103, no 1-2, p. 38-40Article in journal (Refereed)
  • 8. Beulens, J. W. J.
    et al.
    van der Schouw, Y. T.
    Bergmann, M. M.
    Rohrmann, S.
    Schulze, M. B.
    Buijsse, B.
    Grobbee, D. E.
    Arriola, L.
    Cauchi, S.
    Tormo, M-J
    Allen, N. E.
    van der A, D. L.
    Balkau, B.
    Boeing, H.
    Clavel-Chapelon, F.
    de Lauzon-Guillan, B.
    Franks, P.
    Froguel, P.
    Gonzales, C.
    Halkjaer, J.
    Huerta, J. M.
    Kaaks, R.
    Key, T. J.
    Khaw, K. T.
    Krogh, V.
    Molina-Montes, E.
    Nilsson, P.
    Overvad, K.
    Palli, D.
    Panico, S.
    Ramón Quirós, J.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Romieu, I.
    Romaguera, D.
    Sacerdote, C.
    Sánchez, M-J
    Spijkerman, A. M. W.
    Teucher, B.
    Tjonneland, A.
    Tumino, R.
    Sharp, S.
    Forouhi, N. G.
    Langenberg, C.
    Feskens, E. J. M.
    Riboli, E.
    Wareham, N. J.
    Alcohol consumption and risk of type 2 diabetes in European men and women: influence of beverage type and body size The EPIC-InterAct study2012In: Journal of Internal Medicine, ISSN 0954-6820, E-ISSN 1365-2796, Vol. 272, no 4, p. 358-370Article in journal (Refereed)
    Abstract [en]

    Objective: To investigate the association between alcohol consumption and type 2 diabetes, and determine whether this is modified by sex, body mass index (BMI) and beverage type. Design: Multicentre prospective casecohort study. Setting: Eight countries from the European Prospective Investigation into Cancer and Nutrition cohort. Subjects: A representative baseline sample of 16 154 participants and 12 403 incident cases of type 2 diabetes. Interventions: Alcohol consumption assessed using validated dietary questionnaires. Main outcome measures: Occurrence of type 2 diabetes based on multiple sources (mainly self-reports), verified against medical information. Results: Amongst men, moderate alcohol consumption was nonsignificantly associated with a lower incidence of diabetes with a hazard ratio (HR) of 0.90 (95% CI: 0.781.05) for 6.112.0 versus 0.16.0 g day-1, adjusted for dietary and diabetes risk factors. However, the lowest risk was observed at higher intakes of 24.196.0 g day-1 with an HR of 0.86 (95% CI: 0.750.98). Amongst women, moderate alcohol consumption was associated with a lower incidence of diabetes with a hazard ratio of 0.82 (95% CI: 0.720.92) for 6.112.0 g day-1 (P interaction gender <0.01). The inverse association between alcohol consumption and diabetes was more pronounced amongst overweight (BMI = 25 kg m-2) than normal-weight men and women (P interaction < 0.05). Adjusting for waist and hip circumference did not alter the results for men, but attenuated the association for women (HR=0.90, 95% CI: 0.791.03 for 6.112.0 g day-1). Wine consumption for men and fortified wine  consumption for women were most strongly associated with a reduced risk of diabetes. Conclusions: The results of this study show that moderate alcohol consumption is associated with a lower risk of type 2 diabetes amongst women only. However, this risk reduction is in part explained by fat distribution. The relation between alcohol consumption and type 2 diabetes was stronger for overweight than normal-weight women and men.

  • 9.
    Brand, J. S.
    et al.
    Utrecht, The Netherlands.
    Onland-Moret, N. C.
    Utrecht, The Netherlands.
    Eijkemans, M. J. C.
    Utrecht, The Netherlands.
    Tjönneland, A.
    Copenhagen, Denmark .
    Roswall, N.
    Copenhagen, Denmark .
    Overvad, K.
    Aarhus, Denmark .
    Fagherazzi, G.
    Villejuif, France.
    Clavel-Chapelon, F.
    Villejuif, France.
    Dossus, L.
    Villejuif, France.
    Lukanova, Annekatrin
    Umeå University, Faculty of Medicine, Department of Medical Biosciences. Heidelberg, Germany .
    Grote, V.
    Heidelberg, Germany .
    Bergmann, M. M.
    Potsdam, Germany.
    Boeing, H.
    Potsdam, Germany.
    Trichopoulou, A.
    Athens, Greece.
    Tzivoglou, M.
    Athens, Greece.
    Trichopoulos, D.
    Athens, Greece; Boston, MA 02115, USA.
    Grioni, S.
    Milan, Italy.
    Mattiello, A.
    Naples, Italy.
    Masala, G.
    Florence, Italy.
    Tumino, R.
    Ragusa, Italy.
    Vineis, P.
    Torino, Italy; London, UK.
    Bueno-De-Mesquita, H. B.
    The Netherlands; London, United Kingdom; Kuala Lumpur, Malaysia .
    Weiderpass, E.
    Norway; Stockholm, Sweden; Helsinki, Finland .
    Redondo, M. L.
    Asturias, Spain.
    Sanchez, M. J.
    Spain.
    Huerta Castano, J. M.
    Spain.
    Arriola, L.
    San Sebastian, Spain.
    Ardanaz, E.
    Spain.
    Duell, E. J.
    Barcelona, Spain.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Franks, Paul
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine. Malmö, Sweden.
    Butt, S.
    Malmö, Sweden.
    Nilsson, P.
    Malmö, Sweden.
    Khaw, K. T.
    Cambridge, UK.
    Wareham, N.
    Cambridge, UK.
    Travis, R.
    Oxford, UK.
    Romieu, I.
    Lyon, France.
    Gunter, M. J.
    London, UK .
    Riboli, E.
    London, UK .
    van der Schouw, Y. T.
    Utrecht, The Netherlands.
    Diabetes and onset of natural menopause: results from the European Prospective Investigation into Cancer and Nutrition2015In: Human Reproduction, ISSN 0268-1161, E-ISSN 1460-2350, Vol. 30, no 6, p. 1491-1498Article in journal (Refereed)
    Abstract [en]

    STUDY QUESTION: Do women who have diabetes before menopause have their menopause at an earlier age compared with women without diabetes? SUMMARY ANSWER: Although there was no overall association between diabetes and age at menopause, our study suggests that early-onset diabetes may accelerate menopause. WHAT IS KNOWN ALREADY: Today, more women of childbearing age are being diagnosed with diabetes, but little is known about the impact of diabetes on reproductive health. STUDY DESIGN, SIZE, DURATION: We investigated the impact of diabetes on age at natural menopause (ANM) in 258 898 women from the European Prospective Investigation into Cancer and Nutrition (EPIC), enrolled between 1992 and 2000. PARTICIPANTS/MATERIALS, SETTING, METHODS: Determinant and outcome information was obtained through questionnaires. Time-dependent Cox regression analyses were used to estimate the associations of diabetes and age at diabetes diagnosis with ANM, stratified by center and adjusted for age, smoking, reproductive and diabetes risk factors and with age from birth to menopause or censoring as the underlying time scale. MAIN RESULTS AND THE ROLE OF CHANCE: Overall, no association between diabetes and ANM was found (hazard ratio (HR) = 0.94; 95% confidence interval (CI) 0.89-1.01). However, women with diabetes before the age of 20 years had an earlier menopause (10-20 years: HR = 1.43; 95% CI 1.02-2.01, <10 years: HR = 1.59; 95% CI 1.03-2.43) compared with non-diabetic women, whereas women with diabetes at age 50 years and older had a later menopause (HR = 0.81; 95% CI 0.70-0.95). None of the other age groups were associated with ANM. LIMITATIONS, REASONS FOR CAUTION: Strengths of the study include the large sample size and the broad set of potential confounders measured. However, results may have been underestimated due to survival bias. We cannot be sure about the sequence of the events in women with a late age at diabetes, as both events then occur in a short period. We could not distinguish between type 1 and type 2 diabetes. WIDER IMPLICATIONS OF THE FINDINGS: Based on the literature, an accelerating effect of early-onset diabetes on ANM might be plausible. A delaying effect of late-onset diabetes on ANM has not been reported before, and is not in agreement with recent studies suggesting the opposite association.

  • 10. Brand, Judith S.
    et al.
    van der Schouw, Yvonne T.
    Onland-Moret, N. Charlotte
    Sharp, Stephen J.
    Ong, Ken K.
    Khaw, Kay-Tee
    Ardanaz, Eva
    Amiano, Pilar
    Boeing, Heiner
    Chirlaque, Maria-Dolores
    Clavel-Chapelon, Francoise
    Crowe, Francesca L.
    de Lauzon-Guillain, Blandine
    Duell, Eric J.
    Fagherazzi, Guy
    Franks, Paul W.
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine.
    Grioni, Sara
    Groop, Leif C.
    Kaaks, Rudolf
    Key, Timothy J.
    Nilsson, Peter M.
    Overvad, Kim
    Palli, Domenico
    Panico, Salvatore
    Quiros, J. Ramon
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Sacerdote, Carlotta
    Sanchez, Maria-Jose
    Slimani, Nadia
    Teucher, Birgit
    Tjonneland, Anne
    Tumino, Rosario
    van der A, Daphne L.
    Feskens, Edith J. M.
    Langenberg, Claudia
    Forouhi, Nita G.
    Riboli, Elio
    Wareham, Nicholas J.
    Age at Menopause, Reproductive Life Span, and Type 2 Diabetes Risk2013In: Diabetes Care, ISSN 0149-5992, E-ISSN 1935-5548, Vol. 36, no 4, p. 1012-1019Article in journal (Refereed)
    Abstract [en]

    OBJECTIVE-Age at menopause is an important determinant of future health outcomes, but little is known about its relationship with type 2 diabetes. We examined the associations of menopausal age and reproductive life span (menopausal age minus menarcheal age) with diabetes risk.

    RESEARCH DESIGN AND METHODS-Data were obtained from the InterAct study, a prospective case-cohort study nested within the European Prospective Investigation into Cancer and Nutrition. A total of 3,691 postmenopausal type 2 diabetic case subjects and 4,408 subcohort members were included in the analysis, with a median follow-up of 11 years. Prentice weighted Cox proportional hazards models were adjusted for age, known risk factors for diabetes, and reproductive factors, and effect modification by BMI, waist circumference, and smoking was studied.

    RESULTS-Mean (SD) age of the subcohort was 59.2 (5.8) years. After multivariable adjustment, hazard ratios (HRs) of type 2 diabetes were 1.32 (95% CI 1.04-1.69), 1.09 (0.90-1.31), 0.97 (0.86-1.10), and 0.85 (0.70-1.03) for women with menopause at ages <40, 40-44, 45-49, and >= 55 years, respectively, relative to those with menopause at age 50-54 years. The HR per SD younger age at menopause was 1.08 (1.02-1.14). Similarly, a shorter reproductive life span was associated with a higher diabetes risk (HR per SD lower reproductive life span 1.06 [ 1.01-1.12]). No effect modification by BMI, waist circumference, or smoking was observed (P interaction all > 0.05).

    CONCLUSIONS-Early menopause is associated with a greater risk of type 2 diabetes. Diabetes Care 36:1012-1019, 2013

  • 11. Buijsse, B.
    et al.
    Boeing, H.
    Drogan, D.
    Schulze, M. B.
    Feskens, E. J.
    Amiano, P.
    Barricarte, A.
    Clavel-Chapelon, F.
    de Lauzon-Guillain, B.
    Fagherazzi, G.
    Fonseca-Nunes, A.
    Franks, Paul
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine.
    Huerta, J. M.
    Jakobsen, M. U.
    Kaaks, R.
    Key, T. J.
    Khaw, K. T.
    Masala, G.
    Moskal, A.
    Nilsson, P. M.
    Overvad, K.
    Pala, V.
    Panico, S.
    Redondo, M. L.
    Ricceri, F.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Sanchez, M-J
    Sluijs, I.
    Spijkerman, A. M.
    Tjonneland, A.
    Tumino, R.
    van der A, D. L.
    van der Schouw, Y. T.
    Langenberg, C.
    Sharp, S. J.
    Forouhi, N. G.
    Riboli, E.
    Wareham, N. J.
    Consumption of fatty foods and incident type 2 diabetes in populations from eight European countries2015In: European Journal of Clinical Nutrition, ISSN 0954-3007, E-ISSN 1476-5640, Vol. 69, no 4, p. 455-461Article in journal (Refereed)
    Abstract [en]

    BACKGROUND/OBJECTIVES:

    Diets high in saturated and trans fat and low in unsaturated fat may increase type 2 diabetes (T2D) risk, but studies on foods high in fat per unit weight are sparse. We assessed whether the intake of vegetable oil, butter, margarine, nuts and seeds and cakes and cookies is related to incident T2D.

    SUBJECTS/METHODS:

    A case-cohort study was conducted, nested within eight countries of the European Prospective Investigation into Cancer (EPIC), with 12 403 incident T2D cases and a subcohort of 16 835 people, identified from a cohort of 340 234 people. Diet was assessed at baseline (1991-1999) by country-specific questionnaires. Country-specific hazard ratios (HRs) across four categories of fatty foods (nonconsumers and tertiles among consumers) were combined with random-effects meta-analysis.

    RESULTS:

    After adjustment not including body mass index (BMI), nonconsumers of butter, nuts and seeds and cakes and cookies were at higher T2D risk compared with the middle tertile of consumption. Among consumers, cakes and cookies were inversely related to T2D (HRs across increasing tertiles 1.14, 1.00 and 0.92, respectively; P-trend <0.0001). All these associations attenuated upon adjustment for BMI, except the higher risk of nonconsumers of cakes and cookies (HR 1.57). Higher consumption of margarine became positively associated after BMI adjustment (HRs across increasing consumption tertiles: 0.93, 1.00 and 1.12; P-trend 0.03). Within consumers, vegetable oil, butter and nuts and seeds were unrelated to T2D.

    CONCLUSIONS:

    Fatty foods were generally not associated with T2D, apart from weak positive association for margarine. The higher risk among nonconsumers of cakes and cookies needs further explanation.

  • 12. Burger, Koert NJ
    et al.
    Beulens, Joline WJ
    van der Schouw, Yvonne T
    Sluijs, Ivonne
    Spijkerman, Annemieke MW
    Sluik, Diewertje
    Boeing, Heiner
    Kaaks, Rudolf
    Teucher, Birgit
    Dethlefsen, Claus
    Overvad, Kim
    Tjonneland, Anne
    Kyro, Cecilie
    Barricarte, Aurelio
    Bendinelli, Benedetta
    Krogh, Vittorio
    Tumino, Rosario
    Sacerdote, Carlotta
    Mattiello, Amalia
    Nilsson, Peter M
    Orho-Melander, Marju
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Maria Huerta, Jose
    Crowe, Francesca
    Allen, Naomi
    Noethlings, Ute
    Dietary fiber, carbohydrate quality and quantity, and mortality risk of individuals with diabetes mellitus2012In: PLoS ONE, ISSN 1932-6203, E-ISSN 1932-6203, Vol. 7, no 8, p. e43127-Article in journal (Refereed)
    Abstract [en]

    Background: Dietary fiber, carbohydrate quality and quantity are associated with mortality risk in the general population. Whether this is also the case among diabetes patients is unknown.Objective: To assess the associations of dietary fiber, glycemic load, glycemic index, carbohydrate, sugar, and starch intake with mortality risk in individuals with diabetes. Methods: This study was a prospective cohort study among 6,192 individuals with confirmed diabetes mellitus (mean age of 57.4 years, and median diabetes duration of 4.4 years at baseline) from the European Prospective Investigation into Cancer and Nutrition (EPIC). Dietary intake was assessed at baseline (1992-2000) with validated dietary questionnaires. Cox proportional hazards analysis was performed to estimate hazard ratios (HRs) for all-cause and cardiovascular mortality, while adjusting for CVD-related, diabetes-related, and nutritional factors. Results: During a median follow-up of 9.2 y, 791 deaths were recorded, 306 due to CVD. Dietary fiber was inversely associated with all-cause mortality risk (adjusted HR per SD increase, 0.83 [95% CI, 0.75-0.91]) and CVD mortality risk (0.76[0.64-0.89]). No significant associations were observed for glycemic load, glycemic index, carbohydrate, sugar, or starch. Glycemic load (1.42[1.07-1.88]), carbohydrate (1.67[1.18-2.37]) and sugar intake (1.53[1.12-2.09]) were associated with an increased total mortality risk among normal weight individuals (BMI <= 25 kg/m(2); 22% of study population) but not among overweight individuals (P interaction <= 0.04). These associations became stronger after exclusion of energy misreporters. Conclusions: High fiber intake was associated with a decreased mortality risk. High glycemic load, carbohydrate and sugar intake were associated with an increased mortality risk in normal weight individuals with diabetes.

  • 13. Cooper, A. J.
    et al.
    Forouhi, N. G.
    Ye, Z.
    Buijsse, B.
    Arriola, L.
    Balkau, B.
    Barricarte, A.
    Beulens, J. W. J.
    Boeing, H.
    Buchner, F. L.
    Dahm, C. C.
    de Lauzon-Guillain, B.
    Fagherazzi, G.
    Franks, Paul W.
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine.
    Gonzalez, C.
    Grioni, S.
    Kaaks, R.
    Key, T. J.
    Masala, G.
    Navarro, C.
    Nilsson, P.
    Overvad, K.
    Panico, S.
    Ramon Quiros, J.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Roswall, N.
    Sacerdote, C.
    Sanchez, M-J
    Slimani, N.
    Sluijs, I.
    Spijkerman, A. M. W.
    Teucher, B.
    Tjonneland, A.
    Tumino, R.
    Sharp, S. J.
    Langenberg, C.
    Feskens, E. J. M.
    Riboli, E.
    Wareham, N. J.
    Fruit and vegetable intake and type 2 diabetes: EPIC-InterAct prospective study and meta-analysis2012In: European Journal of Clinical Nutrition, ISSN 0954-3007, E-ISSN 1476-5640, Vol. 66, no 10, p. 1082-1092Article, review/survey (Refereed)
    Abstract [en]

    Fruit and vegetable intake (FVI) may reduce the risk of type 2 diabetes (T2D), but the epidemiological evidence is inconclusive. The aim of this study is to examine the prospective association of FVI with T2D and conduct an updated meta-analysis. In the European Prospective Investigation into Cancer-InterAct (EPIC-InterAct) prospective case-cohort study nested within eight European countries, a representative sample of 16 154 participants and 12 403 incident cases of T2D were identified from 340 234 individuals with 3.99 million person-years of follow-up. For the meta-analysis we identified prospective studies on FVI and T2D risk by systematic searches of MEDLINE and EMBASE until April 2011. In EPIC-InterAct, estimated FVI by dietary questionnaires varied more than twofold between countries. In adjusted analyses the hazard ratio (95% confidence interval) comparing the highest with lowest quartile of reported intake was 0.90 (0.80-1.01) for FVI; 0.89 (0.76-1.04) for fruit and 0.94 (0.84-1.05) for vegetables. Among FV subtypes, only root vegetables were inversely associated with diabetes 0.87 (0.77-0.99). In meta-analysis using pooled data from five studies including EPIC-InterAct, comparing the highest with lowest category for FVI was associated with a lower relative risk of diabetes (0.93 (0.87-1.00)). Fruit or vegetables separately were not associated with diabetes. Among FV subtypes, only green leafy vegetable (GLV) intake (relative risk: 0.84 (0.74-0.94)) was inversely associated with diabetes. Subtypes of vegetables, such as root vegetables or GLVs may be beneficial for the prevention of diabetes, while total FVI may exert a weaker overall effect.

  • 14. Dahlin, L. B.
    et al.
    Granberg, V.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine.
    Rosen, I.
    Dahlin, E.
    Sundkvist, G.
    Disturbed vibrotactile sense in finger pulps in patients with Type 1 diabetes-correlations with glycaemic level, clinical examination and electrophysiology2011In: Diabetic Medicine, ISSN 0742-3071, E-ISSN 1464-5491, Vol. 28, no 9, p. 1045-1052Article in journal (Refereed)
    Abstract [en]

    Aims In a cohort of men and women with Type 1 diabetes, prospectively followed for > 20 years, vibrotactile sense in fingers was investigated and related to neurophysiological tests, glycaemic level and clinical score. Methods Out of 58 patients, diagnosed at the age of 15-25 years and recruited 1984-1985, 32 patients (13 women, median age 52 years, range 44-75 years; 19 men, median age 52 years, range 39-69 years; median duration 33.5 years, range 21-52 years) accepted follow-up in 2006. Vibration thresholds were measured in finger pulps of index and little fingers bilaterally at seven frequencies and related to results of touch (monofilaments), tactile discrimination (two-point discrimination test), electrophysiology (median nerve function), glycaemic level (HbA(1c) levels since 1984-1985) and a clinical score. Results Vibrotactile sense was reduced in finger pulps, mainly in men, compared with an age-and gender-matched healthy control group with normal HbA(1c). Vibration thresholds were increased, particularly at 250 and 500 Hz, in both index and little finger pulps. Touch and tactile discrimination correlated with vibration thresholds, but not with each other or with electrophysiology. HbA(1c) levels (at follow-up or mean values from five follow-ups since recruitment) did not correlate with any nerve function variables. Clinical scores correlated with vibrotactile sense, particularly at higher frequencies (> 125 Hz), but not with total Z-scores of electrophysiology. Duration of disease did not correlate with any variables. Conclusions Examination of vibration thresholds in index and little finger pulps may be valuable to detect neuropathy, where thresholds correlate with symptoms and tests.

  • 15.
    Daka, Bledar
    et al.
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Svensson, Maria K
    Lernmark, Åke
    Mincheva-Nilsson, Lucia
    Umeå University, Faculty of Medicine, Department of Clinical Microbiology, Clinical Immunology.
    Hallmans, Göran
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Nutritional Research.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Low agreement between radio binding assays in analyzing glutamic acid decarboxylase (GAD65Ab) autoantibodies in patients classified with type 2 diabetes.2009In: Autoimmunity, ISSN 0891-6934, E-ISSN 1607-842X, Vol. 42, no 6, p. 507-514Article in journal (Refereed)
    Abstract [en]

    Autoantibodies against glutamic acid decarboxylase (GAD65Ab) are used in the classification of diabetes in adults. We assessed the concordance in GAD65 autoantibody levels within subjects between three different GAD65Ab radio binding assays (RBA). Plasma samples from 112 diabetes patients (median age 50 years) initially classified with type 2 diabetes was randomly selected from a local diabetes registry. Coded samples were analyzed with two RBA employing (35)S-labeled GAD65. The first used the pEx9 plasmid (pEx9 RBA), the second employed the pThGAD65 plasmid (pThGAD65 RBA) to label GAD65 by in vitro transcription translation. We also used a commercial kit employing plasmid pGAD17 labelled with (125)I (pGAD17 RBA). Subsequent analyses followed standard procedures. Two different cut-offs for GAD65Ab positivity were used in all three assays. We calculated the correlation, concordance, and agreement between the assays. The proportion of GAD65Ab positivity differed between assays when low cut-offs were used (pEx9 RBA 25%, pThGAD65 RBA 17.9%, and pGAD17 RBA 12.5%, respectively). When high cut-offs were applied, the concordance between the pEx9 RBA and the pThGAD65 RBA was 97.3 while their concordance to the pGAD17 RBA was lower (88.4 and 87.4, respectively). There was a low agreement between both pEx9 RBA and pGAD17 RBA (0.45, 95% CI 0.20-0.70) and between pThGAD65 RBA and pGAD17 RBA (0.43, 95% CI 0.18-0.68). We found discrepancies in determining the GAD65Ab positivity, which constitutes a problem when GAD65Ab are used clinically. Further methodological GAD65Ab assays studies are warranted.

  • 16. Drogan, Dagmar
    et al.
    Dunn, Warwick B.
    Lin, Wanchang
    Buijsse, Brian
    Schulze, Matthias B.
    Langenberg, Claudia
    Brown, Marie
    Floegel, Anna
    Dietrich, Stefan
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine.
    Wedge, David C.
    Goodacre, Royston
    Forouhi, Nita G.
    Sharp, Stephen J.
    Spranger, Joachim
    Wareham, Nick J.
    Boeing, Heiner
    Untargeted Metabolic Profiling Identifies Altered Serum Metabolites of Type 2 Diabetes Mellitus in a Prospective, Nested Case Control Study2015In: Clinical Chemistry, ISSN 0009-9147, E-ISSN 1530-8561, Vol. 61, no 3, p. 487-497Article in journal (Refereed)
    Abstract [en]

    BACKGROUND:

    Application of metabolite profiling could expand the etiological knowledge of type 2 diabetes mellitus (T2D). However, few prospective studies apply broad untargeted metabolite profiling to reveal the comprehensive metabolic alterations preceding the onset of T2D. METHODS: We applied untargeted metabolite profiling in serum samples obtained from the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam cohort comprising 300 individuals who developed T2D after a median follow-up time of 6 years and 300 matched controls. For that purpose, we used ultraperformance LC-MS with a protocol specifically designed for large-scale metabolomics studies with regard to robustness and repeatability. After multivariate classification to select metabolites with the strongest contribution to disease classification, we applied multivariable-adjusted conditional logistic regression to assess the association of these metabolites with T2D.

    RESULTS: Among several alterations in lipid metabolism, there was an inverse association with T2D for metabolites chemically annotated as lysophosphatidylcholine(dm16:0) and phosphatidylcholine(O-20:0/O-20:0). Hexose sugars were positively associated with T2D, whereas higher concentrations of a sugar alcohol and a deoxyhexose sugar reduced the odds of diabetes by approximately 60% and 70%, respectively. Furthermore, there was suggestive evidence for a positive association of the circulating purine nucleotide isopentenyladenosine-5' -monophosphate with incident T2D.

    CONCLUSIONS: This study constitutes one of the largest metabolite profiling approaches of T2D biomarkers in a prospective study population. The findings might help generate new hypotheses about diabetes etiology and develop further targeted studies of a smaller number of potentially important metabolites. (C) 2014 American Association for Clinical Chemistry

  • 17. Dupuis, Josée
    et al.
    Langenberg, Claudia
    Prokopenko, Inga
    Saxena, Richa
    Soranzo, Nicole
    Jackson, Anne U
    Wheeler, Eleanor
    Glazer, Nicole L
    Bouatia-Naji, Nabila
    Gloyn, Anna L
    Lindgren, Cecilia M
    Mägi, Reedik
    Morris, Andrew P
    Randall, Joshua
    Johnson, Toby
    Elliott, Paul
    Rybin, Denis
    Thorleifsson, Gudmar
    Steinthorsdottir, Valgerdur
    Henneman, Peter
    Grallert, Harald
    Dehghan, Abbas
    Hottenga, Jouke Jan
    Franklin, Christopher S
    Navarro, Pau
    Song, Kijoung
    Goel, Anuj
    Perry, John R B
    Egan, Josephine M
    Lajunen, Taina
    Grarup, Niels
    Sparsø, Thomas
    Doney, Alex
    Voight, Benjamin F
    Stringham, Heather M
    Li, Man
    Kanoni, Stavroula
    Shrader, Peter
    Cavalcanti-Proença, Christine
    Kumari, Meena
    Qi, Lu
    Timpson, Nicholas J
    Gieger, Christian
    Zabena, Carina
    Rocheleau, Ghislain
    Ingelsson, Erik
    An, Ping
    O'Connell, Jeffrey
    Luan, Jian'an
    Elliott, Amanda
    McCarroll, Steven A
    Payne, Felicity
    Roccasecca, Rosa Maria
    Pattou, François
    Sethupathy, Praveen
    Ardlie, Kristin
    Ariyurek, Yavuz
    Balkau, Beverley
    Barter, Philip
    Beilby, John P
    Ben-Shlomo, Yoav
    Benediktsson, Rafn
    Bennett, Amanda J
    Bergmann, Sven
    Bochud, Murielle
    Boerwinkle, Eric
    Bonnefond, Amélie
    Bonnycastle, Lori L
    Borch-Johnsen, Knut
    Böttcher, Yvonne
    Brunner, Eric
    Bumpstead, Suzannah J
    Charpentier, Guillaume
    Chen, Yii-Der Ida
    Chines, Peter
    Clarke, Robert
    Coin, Lachlan J M
    Cooper, Matthew N
    Cornelis, Marilyn
    Crawford, Gabe
    Crisponi, Laura
    Day, Ian N M
    de Geus, Eco J C
    Delplanque, Jerome
    Dina, Christian
    Erdos, Michael R
    Fedson, Annette C
    Fischer-Rosinsky, Antje
    Forouhi, Nita G
    Fox, Caroline S
    Frants, Rune
    Franzosi, Maria Grazia
    Galan, Pilar
    Goodarzi, Mark O
    Graessler, Jürgen
    Groves, Christopher J
    Grundy, Scott
    Gwilliam, Rhian
    Gyllensten, Ulf
    Hallmans, Göran
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Nutritional Research.
    Hadjadj, Samy
    Hammond, Naomi
    Han, Xijing
    Hartikainen, Anna-Liisa
    Hassanali, Neelam
    Hayward, Caroline
    Heath, Simon C
    Hercberg, Serge
    Herder, Christian
    Hicks, Andrew A
    Hillman, David R
    Hingorani, Aroon D
    Hofman, Albert
    Hui, Jennie
    Hung, Joe
    Isomaa, Bo
    Johnson, Paul R V
    Jørgensen, Torben
    Jula, Antti
    Kaakinen, Marika
    Kaprio, Jaakko
    Kesaniemi, Y Antero
    Kivimaki, Mika
    Knight, Beatrice
    Koskinen, Seppo
    Kovacs, Peter
    Kyvik, Kirsten Ohm
    Lathrop, G Mark
    Lawlor, Debbie A
    Le Bacquer, Olivier
    Lecoeur, Cécile
    Li, Yun
    Lyssenko, Valeriya
    Mahley, Robert
    Mangino, Massimo
    Manning, Alisa K
    Martínez-Larrad, María Teresa
    McAteer, Jarred B
    McCulloch, Laura J
    McPherson, Ruth
    Meisinger, Christa
    Melzer, David
    Meyre, David
    Mitchell, Braxton D
    Morken, Mario A
    Mukherjee, Sutapa
    Naitza, Silvia
    Narisu, Narisu
    Neville, Matthew J
    Oostra, Ben A
    Orrù, Marco
    Pakyz, Ruth
    Palmer, Colin N A
    Paolisso, Giuseppe
    Pattaro, Cristian
    Pearson, Daniel
    Peden, John F
    Pedersen, Nancy L
    Perola, Markus
    Pfeiffer, Andreas F H
    Pichler, Irene
    Polasek, Ozren
    Posthuma, Danielle
    Potter, Simon C
    Pouta, Anneli
    Province, Michael A
    Psaty, Bruce M
    Rathmann, Wolfgang
    Rayner, Nigel W
    Rice, Kenneth
    Ripatti, Samuli
    Rivadeneira, Fernando
    Roden, Michael
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Sandbaek, Annelli
    Sandhu, Manjinder
    Sanna, Serena
    Sayer, Avan Aihie
    Scheet, Paul
    Scott, Laura J
    Seedorf, Udo
    Sharp, Stephen J
    Shields, Beverley
    Sigurethsson, Gunnar
    Sijbrands, Eric J G
    Silveira, Angela
    Simpson, Laila
    Singleton, Andrew
    Smith, Nicholas L
    Sovio, Ulla
    Swift, Amy
    Syddall, Holly
    Syvänen, Ann-Christine
    Tanaka, Toshiko
    Thorand, Barbara
    Tichet, Jean
    Tönjes, Anke
    Tuomi, Tiinamaija
    Uitterlinden, André G
    van Dijk, Ko Willems
    van Hoek, Mandy
    Varma, Dhiraj
    Visvikis-Siest, Sophie
    Vitart, Veronique
    Vogelzangs, Nicole
    Waeber, Gérard
    Wagner, Peter J
    Walley, Andrew
    Walters, G Bragi
    Ward, Kim L
    Watkins, Hugh
    Weedon, Michael N
    Wild, Sarah H
    Willemsen, Gonneke
    Witteman, Jaqueline C M
    Yarnell, John W G
    Zeggini, Eleftheria
    Zelenika, Diana
    Zethelius, Björn
    Zhai, Guangju
    Zhao, Jing Hua
    Zillikens, M Carola
    Borecki, Ingrid B
    Loos, Ruth J F
    Meneton, Pierre
    Magnusson, Patrik K E
    Nathan, David M
    Williams, Gordon H
    Hattersley, Andrew T
    Silander, Kaisa
    Salomaa, Veikko
    Smith, George Davey
    Bornstein, Stefan R
    Schwarz, Peter
    Spranger, Joachim
    Karpe, Fredrik
    Shuldiner, Alan R
    Cooper, Cyrus
    Dedoussis, George V
    Serrano-Ríos, Manuel
    Morris, Andrew D
    Lind, Lars
    Palmer, Lyle J
    Hu, Frank B
    Franks, Paul W
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine.
    Ebrahim, Shah
    Marmot, Michael
    Kao, W H Linda
    Pankow, James S
    Sampson, Michael J
    Kuusisto, Johanna
    Laakso, Markku
    Hansen, Torben
    Pedersen, Oluf
    Pramstaller, Peter Paul
    Wichmann, H Erich
    Illig, Thomas
    Rudan, Igor
    Wright, Alan F
    Stumvoll, Michael
    Campbell, Harry
    Wilson, James F
    Bergman, Richard N
    Buchanan, Thomas A
    Collins, Francis S
    Mohlke, Karen L
    Tuomilehto, Jaakko
    Valle, Timo T
    Altshuler, David
    Rotter, Jerome I
    Siscovick, David S
    Penninx, Brenda W J H
    Boomsma, Dorret I
    Deloukas, Panos
    Spector, Timothy D
    Frayling, Timothy M
    Ferrucci, Luigi
    Kong, Augustine
    Thorsteinsdottir, Unnur
    Stefansson, Kari
    van Duijn, Cornelia M
    Aulchenko, Yurii S
    Cao, Antonio
    Scuteri, Angelo
    Schlessinger, David
    Uda, Manuela
    Ruokonen, Aimo
    Jarvelin, Marjo-Riitta
    Waterworth, Dawn M
    Vollenweider, Peter
    Peltonen, Leena
    Mooser, Vincent
    Abecasis, Goncalo R
    Wareham, Nicholas J
    Sladek, Robert
    Froguel, Philippe
    Watanabe, Richard M
    Meigs, James B
    Groop, Leif
    Boehnke, Michael
    McCarthy, Mark I
    Florez, Jose C
    Barroso, Inês
    New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk2010In: Nature Genetics, ISSN 1061-4036, E-ISSN 1546-1718, Vol. 42, no 2, p. 105-116Article in journal (Refereed)
    Abstract [en]

    Levels of circulating glucose are tightly regulated. To identify new loci influencing glycemic traits, we performed meta-analyses of 21 genome-wide association studies informative for fasting glucose, fasting insulin and indices of beta-cell function (HOMA-B) and insulin resistance (HOMA-IR) in up to 46,186 nondiabetic participants. Follow-up of 25 loci in up to 76,558 additional subjects identified 16 loci associated with fasting glucose and HOMA-B and two loci associated with fasting insulin and HOMA-IR. These include nine loci newly associated with fasting glucose (in or near ADCY5, MADD, ADRA2A, CRY2, FADS1, GLIS3, SLC2A2, PROX1 and C2CD4B) and one influencing fasting insulin and HOMA-IR (near IGF1). We also demonstrated association of ADCY5, PROX1, GCK, GCKR and DGKB-TMEM195 with type 2 diabetes. Within these loci, likely biological candidate genes influence signal transduction, cell proliferation, development, glucose-sensing and circadian regulation. Our results demonstrate that genetic studies of glycemic traits can identify type 2 diabetes risk loci, as well as loci containing gene variants that are associated with a modest elevation in glucose levels but are not associated with overt diabetes.

  • 18. Ekelund, U.
    et al.
    Palla, L.
    Brage, S.
    Franks, Paul W.
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine. Lund University, Malmö, Sweden.
    Peters, T.
    Balkau, B.
    Diaz, M. J. T.
    Huerta, J. M.
    Agnoli, C.
    Arriola, L.
    Ardanaz, E.
    Boeing, H.
    Clavel-Chapelon, F.
    Crowe, F.
    Fagherazzi, G.
    Groop, L.
    Hainaut, P.
    Johnsen, N. Fons
    Kaaks, R.
    Khaw, K. T.
    Key, T. J.
    de Lauzon-Guillain, B.
    May, A.
    Monninkhof, E.
    Navarro, C.
    Nilsson, P.
    Ostergaard, J. Nautrup
    Norat, T.
    Overvad, K.
    Palli, D.
    Panico, S.
    Redondo, M. L.
    Ricceri, F.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Romaguera, D.
    Romieu, I.
    Sanchez Perez, M. J.
    Slimani, N.
    Spijkerman, A.
    Teucher, B.
    Tjonneland, A.
    Travier, N.
    Tumino, R.
    Vos, W.
    Vigl, M.
    Sharp, S.
    Langenberg, C.
    Forouhi, N.
    Riboli, E.
    Feskens, E.
    Wareham, N. J.
    Physical activity reduces the risk of incident type 2 diabetes in general and in abdominally lean and obese men and women: the EPIC-InterAct Study2012In: Diabetologia, ISSN 0012-186X, E-ISSN 1432-0428, Vol. 55, no 7, p. 1944-1952Article in journal (Refereed)
    Abstract [en]

    We examined the independent and combined associations of physical activity and obesity with incident type 2 diabetes in men and women. The InterAct case-cohort study consists of 12,403 incident type 2 diabetes cases and a randomly selected subcohort of 16,154 individuals, drawn from a total cohort of 340,234 participants with 3.99 million person-years of follow-up. Physical activity was assessed by a four-category index. Obesity was measured by BMI and waist circumference (WC). Associations between physical activity, obesity and case-ascertained incident type 2 diabetes were analysed by Cox regression after adjusting for educational level, smoking status, alcohol consumption and energy intake. In combined analyses, individuals were stratified according to physical activity level, BMI and WC. A one-category difference in physical activity (equivalent to approximately 460 and 365 kJ/day in men and women, respectively) was independently associated with a 13% (HR 0.87, 95% CI 0.80, 0.94) and 7% (HR 0.93, 95% CI 0.89, 0.98) relative reduction in the risk of type 2 diabetes in men and women, respectively. Lower levels of physical activity were associated with an increased risk of diabetes across all strata of BMI. Comparing inactive with active individuals, the HRs were 1.44 (95% CI 1.11, 1.87) and 1.38 (95% CI 1.17, 1.62) in abdominally lean and obese inactive men, respectively, and 1.57 (95% CI 1.19, 2.07) and 1.19 (95% CI 1.01, 1.39) in abdominally lean and obese inactive women, respectively. Physical activity is associated with a reduction in the risk of developing type 2 diabetes across BMI categories in men and women, as well as in abdominally lean and obese men and women.

  • 19. Ekström, Nils
    et al.
    Cederholm, Jan
    Zethelius, Björn
    Eliasson, Björn
    Fhärm, Eva
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Miftaraj, Mervete
    Svensson, Ann-Marie
    Gudbjörnsdottir, Soffia
    Aspirin treatment and risk of first incident cardiovascular diseases in patients with type 2 diabetes: an observational study from the Swedish National Diabetes Register2013In: BMJ Open, ISSN 2044-6055, E-ISSN 2044-6055, Vol. 3, no 4, p. e002688-Article in journal (Refereed)
    Abstract [en]

    Objectives To investigate the benefits and risks associated with aspirin treatment in patients with type 2 diabetes and no previous cardiovascular disease (CVD) in clinical practice. Design Population-based cohort study between 2005 and 2009, mean follow-up 3.9years. Setting Hospital outpatient clinics and primary care in Sweden. Participants Men and women with type 2 diabetes, free from CVD, including atrial fibrillation and congestive heart failure, at baseline, registered in the Swedish National Diabetes Register, with continuous low-dose aspirin treatment (n=4608) or no aspirin treatment (n=14038). Main outcome measures Risks of CVD, coronary heart disease (CHD), stroke, mortality and bleedings, associated with aspirin compared with no aspirin, were analysed in all patients and in subgroups by gender and estimated cardiovascular risk. Propensity scores were used to adjust for several baseline risk factors and characteristics at Cox regression, and the effect of unknown covariates was evaluated in a sensitivity analysis. Results There was no association between aspirin use and beneficial effects on risks of CVD or death. Rather, there was an increased risk of non-fatal/fatal CHD associated with aspirin; HR 1.19 (95% CI 1.01 to 1.41), p=0.04. The increased risk of cardiovascular outcomes associated with aspirin was seen when analysing women separately; HR 1.41 (95% CI 1.07 to 1.87), p=0.02, and HR 1.28 (95% CI 1.01 to 1.61), p=0.04, for CHD and CVD, respectively, but not for men separately. There was a trend towards increased risk of a composite of bleedings associated with aspirin, n=157; HR 1.41 (95% CI 0.99 to 1.99). Conclusions The results support the trend towards more restrictive use of aspirin in patients with type 2 diabetes and no previous CVD. More research is needed to explore the differences in aspirin's effects in women and men.

  • 20. Elks, Cathy E.
    et al.
    Ong, Ken K.
    Scott, Robert A.
    van der Schouw, Yvonne T.
    Brand, Judith S.
    Wark, Petra A.
    Amiano, Pilar
    Balkau, Beverley
    Barricarte, Aurelio
    Boeing, Heiner
    Fonseca-Nunes, Ana
    Franks, Paul W.
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine. Lunds universitet.
    Grioni, Sara
    Halkjaer, Jytte
    Kaaks, Rudolf
    Key, Timothy J.
    Khaw, Kay Tee
    Mattiello, Amalia
    Nilsson, Peter M.
    Overvad, Kim
    Palli, Domenico
    Quiros, J. Ramon
    Rinaldi, Sabina
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Romieu, Isabelle
    Sacerdote, Carlotta
    Sanchez, Maria-Jose
    Spijkerman, Annemieke M. W.
    Tjonneland, Anne
    Tormo, Maria-Jose
    Tumino, Rosario
    Daphne, L. Van der A.
    Forouhi, Nita G.
    Sharp, Stephen J.
    Langenberg, Claudia
    Riboli, Elio
    Wareham, Nicholas J.
    Age at Menarche and Type 2 Diabetes Risk The EPIC-InterAct study2013In: Diabetes Care, ISSN 0149-5992, E-ISSN 1935-5548, Vol. 36, no 11, p. 3526-3534Article in journal (Refereed)
    Abstract [en]

    OBJECTIVE Younger age at menarche, a marker of pubertal timing in girls, is associated with higher risk of later type 2 diabetes. We aimed to confirm this association and to examine whether it is explained by adiposity. RESEARCH DESIGN AND METHODS The prospective European Prospective Investigation into Cancer and Nutrition (EPIC)-InterAct case-cohort study consists of 12,403 incident type 2 diabetes cases and a stratified subcohort of 16,154 individuals from 26 research centers across eight European countries. We tested the association between age at menarche and incident type 2 diabetes using Prentice-weighted Cox regression in 15,168 women (n = 5,995 cases). Models were adjusted in a sequential manner for potential confounding and mediating factors, including adult BMI. RESULTS Mean menarcheal age ranged from 12.6 to 13.6 years across InterAct countries. Each year later menarche was associated with 0.32 kg/m(2) lower adult BMI. Women in the earliest menarche quintile (8-11 years, n = 2,418) had 70% higher incidence of type 2 diabetes compared with those in the middle quintile (13 years, n = 3,634), adjusting for age at recruitment, research center, and a range of lifestyle and reproductive factors (hazard ratio [HR], 1.70; 95% CI, 1.49-1.94; P < 0.001). Adjustment for BMI partially attenuated this association (HR, 1.42; 95% CI, 1.18-1.71; P < 0.001). Later menarche beyond the median age was not protective against type 2 diabetes. CONCLUSIONS Women with history of early menarche have higher risk of type 2 diabetes in adulthood. Less than half of this association appears to be mediated by higher adult BMI, suggesting that early pubertal development also may directly increase type 2 diabetes risk.

  • 21.
    Escher, Cecilia
    et al.
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Sandström, Herbert
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    [Substantial blood glucose control differences at Swedish surgery departments. Common guidelines required]2006In: Lakartidningen, ISSN 0023-7205, Vol. 103, no 48, p. 3811-4Article in journal (Refereed)
  • 22. Fawcett, Katherine A
    et al.
    Wheeler, Eleanor
    Morris, Andrew P
    Ricketts, Sally L
    Hallmans, Göran
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Nutritional Research.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Daly, Allan
    Wasson, Jon
    Permutt, Alan
    Hattersley, Andrew T
    Glaser, Benjamin
    Franks, Paul W
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine.
    McCarthy, Mark I
    Wareham, Nicholas J
    Sandhu, Manjinder S
    Barroso, Inês
    Detailed investigation of the role of common and low-frequency WFS1 variants in type 2 diabetes risk2010In: Diabetes, ISSN 0012-1797, E-ISSN 1939-327X, Vol. 59, no 3, p. 741-746Article in journal (Refereed)
    Abstract [en]

    We identified six highly correlated SNPs that show strong and comparable associations with risk of type 2 diabetes, but further refinement of these associations will require large sample sizes (>100,000) or studies in ethnically diverse populations. Low frequency variants in WFS1 are unlikely to have a large impact on type 2 diabetes risk in white U.K. populations, highlighting the complexities of undertaking association studies with low-frequency variants identified by resequencing.

  • 23.
    Fhärm, Eva
    et al.
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Johansson, Eva E
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    ‘Aiming for the stars’—GPs’ dilemmas in the prevention of cardiovascular disease in type 2 diabetes patients: focus group interviews2009In: Family Practice, ISSN 0263-2136, E-ISSN 1460-2229, no 26, p. 109-114Article in journal (Refereed)
    Abstract [en]

    Background

    Studies have revealed low adherence to guidelines for treatment of diabetes and cardiovascular risk factors.

    Objective

    To explore general practitioners’ experiences regarding treatment practice in type 2 diabetes with specific focus on the prevention of cardiovascular disease.

    Methods

    Fourteen experienced general practitioners from nine health care centres with group practices were interviewed in focus groups. The interviews were digitally recorded, transcribed verbatim and analysed by qualitative content analysis.

    Results

    The overall theme was “dilemmas” in GPs´ treatment practice for type 2 diabetes patients. Five main dilemma categories were identified. First, the GPs were hesitant about labelling someone who feels healthy as ill. Secondly, regarding communicating a diabetes diagnosis and its consequences; should the patient be frightened or comforted? Thirdly, the GPs experienced uncertainty in their role; were they to take responsibility for the care or not? Fourthly, the GPs expressed a conflict between lifestyle changes and drug treatment. Fifthly, the GPs described difficulties in integrating science into reality.

    Conclusions

    The five dilemmas in the general practitioners’ approach to diabetes patients and the treatment of their cardiovascular risk were related to the GPs´ professional role and communication with the patient. To consider these dilemmas in educational efforts is probably essential to achieve improved diabetes care and guideline adherence. 

  • 24.
    Fhärm, Eva
    et al.
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Weinehall, Lars
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Epidemiology and Public Health Sciences.
    Guidelines improve general trend of lowered cholesterol levels in type 2 diabetes patients in spite of low adherence2008In: Scandinavian Journal of Public Health, ISSN 1403-4948, E-ISSN 1651-1905, Vol. 36, no 1, p. 69-75Article in journal (Refereed)
  • 25.
    Fhärm, Eva
    et al.
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Weinehall, Lars
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Epidemiology and Public Health Sciences.
    Lower cholesterol levels among diabetes subjects increase in body mass index.2003In: 18th International Diabetes Federation Congress August 24-29 2003: Epidemiology - Type 2 Diabetes Mellitus, 2003Conference paper (Other academic)
  • 26. Fontaine-Bisson, B
    et al.
    Renström, Frida
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Payne, F
    Hallmans, Göran
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Nutritional Research.
    Barroso, I
    Franks, Paul W
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine.
    Evaluating the discriminative power of multi-trait genetic risk scores for type 2 diabetes in a northern Swedish population.2010In: Diabetologia, ISSN 0012-186X, E-ISSN 1432-0428, Vol. 53, no 10, p. 2155-2162Article in journal (Refereed)
    Abstract [en]

    AIMS/HYPOTHESIS: We determined whether single nucleotide polymorphisms (SNPs) previously associated with diabetogenic traits improve the discriminative power of a type 2 diabetes genetic risk score. METHODS: Participants (n = 2,751) were genotyped for 73 SNPs previously associated with type 2 diabetes, fasting glucose/insulin concentrations, obesity or lipid levels, from which five genetic risk scores (one for each of the four traits and one combining all SNPs) were computed. Type 2 diabetes patients and non-diabetic controls (n = 1,327/1,424) were identified using medical records in addition to an independent oral glucose tolerance test. RESULTS: Model 1, including only SNPs associated with type 2 diabetes, had a discriminative power of 0.591 (p < 1.00 x 10(-20) vs null model) as estimated by the area under the receiver operator characteristic curve (ROC AUC). Model 2, including only fasting glucose/insulin SNPs, had a significantly higher discriminative power than the null model (ROC AUC 0.543; p = 9.38 x 10(-6) vs null model), but lower discriminative power than model 1 (p = 5.92 x 10(-5)). Model 3, with only lipid-associated SNPs, had significantly higher discriminative power than the null model (ROC AUC 0.565; p = 1.44 x 10(-9)) and was not statistically different from model 1 (p = 0.083). The ROC AUC of model 4, which included only obesity SNPs, was 0.557 (p = 2.30 x 10(-7) vs null model) and smaller than model 1 (p = 0.025). Finally, the model including all SNPs yielded a significant improvement in discriminative power compared with the null model (p < 1.0 x 10(-20)) and model 1 (p = 1.32 x 10(-5)); its ROC AUC was 0.626. CONCLUSIONS/INTERPRETATION: Adding SNPs previously associated with fasting glucose, insulin, lipids or obesity to a genetic risk score for type 2 diabetes significantly increases the power to discriminate between people with and without clinically manifest type 2 diabetes compared with a model including only conventional type 2 diabetes loci.

  • 27. Forouhi, Nita G.
    et al.
    Koulman, Albert
    Sharp, Stephen J.
    Imamura, Fumiaki
    Kroger, Janine
    Schulze, Matthias B.
    Crowe, Francesca L.
    Huerta, Jose Maria
    Guevara, Marcela
    Beulens, Joline W. J.
    van Woudenbergh, Geertruida J.
    Wang, Laura
    Summerhill, Keith
    Griffin, Julian L.
    Feskens, Edith J. M.
    Amiano, Pilar
    Boeing, Heiner
    Clavel-Chapelon, Francoise
    Dartois, Laureen
    Fagherazzi, Guy
    Franks, Paul W.
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine. Lund University, Malmö, Sweden.
    Gonzalez, Carlos
    Jakobsen, Marianne Uhre
    Kaaks, Rudolf
    Key, Timothy J.
    Khaw, Kay-Tee
    Kuhn, Tilman
    Mattiello, Amalia
    Nilsson, Peter M.
    Overvad, Kim
    Pala, Valeria
    Palli, Domenico
    Quiros, J. Ramon
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Roswall, Nina
    Sacerdote, Carlotta
    Sanchez, Mara-Jose
    Slimani, Nadia
    Spijkerman, Annemieke M. W.
    Tjonneland, Anne
    Tormo, Maria-Jose
    Tumino, Rosario
    van der A, Daphne L.
    van der Schouw, Yvonne T.
    Langenberg, Claudia
    Riboli, Elio
    Wareham, Nicholas J.
    Differences in the prospective association between individual plasma phospholipid saturated fatty acids and incident type 2 diabetes: the EPIC-InterAct case-cohort study2014In: LANCET DIABETES & ENDOCRINOLOGY, ISSN 2213-8587, Vol. 2, no 10, p. 810-818Article in journal (Refereed)
    Abstract [en]

    Background Conflicting evidence exists regarding the association between saturated fatty acids (SFAs) and type 2 diabetes. In this longitudinal case-cohort study, we aimed to investigate the prospective associations between objectively measured individual plasma phospholipid SFAs and incident type 2 diabetes in EPIC-InterAct participants. Methods The EPIC-InterAct case-cohort study includes 12 403 people with incident type 2 diabetes and a representative subcohort of 16 154 individuals who were selected from a cohort of 340 234 European participants with 3 . 99 million person-years of follow-up (the EPIC study). Incident type 2 diabetes was ascertained until Dec 31, 2007, by a review of several sources of evidence. Gas chromatography was used to measure the distribution of fatty acids in plasma phospholipids (mol%); samples from people with type 2 diabetes and subcohort participants were processed in a random order by centre, and laboratory staff were masked to participant characteristics. We estimated country-specific hazard ratios (HRs) for associations per SD of each SFA with incident type 2 diabetes using Prentice-weighted Cox regression, which is weighted for case-cohort sampling, and pooled our findings using random-effects meta-analysis. Findings SFAs accounted for 46% of total plasma phospholipid fatty acids. In adjusted analyses, different individual SFAs were associated with incident type 2 diabetes in opposing directions. Even-chain SFAs that were measured (14: 0 [myristic acid], 16: 0 [palmitic acid], and 18: 0 [stearic acid]) were positively associated with incident type 2 diabetes (HR [95% CI] per SD difference: myristic acid 1.15 [95% CI 1.09-1.22], palmitic acid 1.26 [1.15-1.37], and stearic acid 1.06 [1.00-1.13]). By contrast, measured odd-chain SFAs (15: 0 [pentadecanoic acid] and 17: 0 [heptadecanoic acid]) were inversely associated with incident type 2 diabetes (HR [95% CI] per 1 SD difference: 0.79 [0.73-0.85] for pentadecanoic acid and 0.67 [0.63-0.71] for heptadecanoic acid), as were measured longer-chain SFAs (20: 0 [arachidic acid], 22:0 [behenic acid], 23:0 [tricosanoic acid], and 24:0 [lignoceric acid]), with HRs ranging from 0.72 to 0.81 (95% CIs ranging between 0.61 and 0.92). Our findings were robust to a range of sensitivity analyses. Interpretation Different individual plasma phospholipid SFAs were associated with incident type 2 diabetes in opposite directions, which suggests that SFAs are not homogeneous in their effects. Our findings emphasise the importance of the recognition of subtypes of these fatty acids. An improved understanding of differences in sources of individual SFAs from dietary intake versus endogenous metabolism is needed.

  • 28. Fourlanos, S
    et al.
    Dotta, F
    Greenbaum, C J
    Palmer, J P
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Public Health and Clinical Medicine, Family Medicine.
    Colman, P G
    Harrison, L C
    Latent autoimmune diabetes in adults (LADA) should be less latent.2005In: Diabetologia, ISSN 0012-186X, Vol. 48, no 11, p. 2206-12Article in journal (Refereed)
  • 29.
    Franks, Paul
    et al.
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine. Medicin.
    Rolandsson, Olov
    Allmänmedicin.
    Debenham, S L
    Fawcett, K A
    Payne, F
    Dina, C
    Froguel, P
    Mohlke, K L
    Willer, C
    Olsson, Tommy
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine. Medicin.
    Wareham, N J
    Hallmans, Göran
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Nutritional Research.
    Barroso, I
    Sandhu, M S
    Replication of the association between variants in WFS1 and risk of type 2 diabetes in European populations.2008In: Diabetologia, ISSN 0012-186X, Vol. 51, no 3, p. 458-63Article in journal (Refereed)
  • 30.
    Hallmans, Göran
    et al.
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Nutritional Research.
    Agren, A
    Johansson, G
    Johansson, Anders
    Umeå University, Faculty of Medicine, Department of Odontology, Periodontology.
    Stegmayr, Birgitta
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine.
    Jansson, JH
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine.
    Lindahl, B
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Söderberg, Stefan
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Cardiology.
    Nilsson, M
    Johansson, Ingegerd
    Umeå University, Faculty of Medicine, Department of Odontology, Cariology.
    Weinehall, Lars
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Epidemiology and Global Health.
    Cardiovascular disease and diabetes in the Northern Sweden Health and Disease Study Cohort: evaluation of risk factors and their interactions.2003In: Scandinavian Journal of Public Health. Supplement Links, ISSN 1403-4956, Vol. 61, p. 18-24Article in journal (Refereed)
    Abstract [en]

    The purpose of this paper is, first, to describe the organization, sampling procedures, availability of samples/database, ethical considerations, and quality control program of the Northern Sweden Health and Disease Study Cohort. Secondly, some examples are given of studies on cardiovascular disease and diabetes with a focus on the biomarker programme. The cohort has been positioned as a national and international resource for scientific research.

  • 31. Hampe, C S
    et al.
    Hall, T R
    Ågren, Åsa
    Umeå University, Faculty of Medicine, Public Health and Clinical Medicine. Umeå University, Faculty of Medicine, Public Health and Clinical Medicine, Nutritional Research.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Public Health and Clinical Medicine, Family Medicine. Allmänmedicin.
    Longitudinal changes in epitope recognition of autoantibodies against glutamate decarboxylase 65 (GAD65Ab) in prediabetic adults developing diabetes.2007In: Clin Exp Immunol, ISSN 0009-9104, Vol. 148, no 1, p. 72-8Article in journal (Refereed)
  • 32. Hansson, Ida
    et al.
    Lynch, Kristian F
    Hallmans, Göran
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Nutritional Research.
    Lernmark, Åke
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    High-titer GAD65 autoantibodies detected in adult diabetes patients using a high efficiency expression vector and cold GAD65 displacement.2011In: Autoimmunity, ISSN 0891-6934, E-ISSN 1607-842X, Vol. 44, no 2, p. 129-136Article in journal (Refereed)
    Abstract [en]

    Adult type 2 diabetes patients with GAD65 autoantibodies (GADA) are known as latent autoimmune diabetes in adults (LADA). It has been suggested that GADA in LADA patients preferentially bind to the N-terminal end of GAD65. Using the N-terminal end extension of ³⁵S-GAD65 generated by the pEx9 plasmid, we tested the hypothesis that GADA in LADA patients preferentially react with ³⁵S-GAD65 from the pEx9 plasmid compared to the normal length pThGAD65 plasmid. Healthy control subjects (n = 250) were compared with type 1 (n = 23), type 2 (n = 290), and unspecified (n = 57) diabetes patients. In addition, radio-binding assays for GADA with ³⁵S-GAD65 generated from both the pEx9 and pThGAD65 plasmids were used in displacement assays with an excess of recombinant human GAD65 (2 μg/mL) to correct for non-specific binding. ³⁵S-GAD65 produced by either pEx9 or pThGAD65 did not differ in binding among the healthy controls and among the type 1 diabetes patients. Among the type 2 and unspecified patients, there were 4/290 and 3/57 patients, respectively, with binding to the pEx9 but not to the pThGAD65 generated ³⁵S-GAD65. In the displacement assay, we discovered 14 patients with very high-titer GADA among the type 1 (n = 3, 12,272-29,915 U/mL), type 2 (n = 7; 12,398-334,288 U/mL), and unspecified (n = 4; 20,773-4,053,580 U/mL) patients. All samples were fully displaced following appropriate dilution. We conclude that pThGAD65 is preferred for the coupled in vitro transcription translation of ³⁵S-GAD65 and that displacement with recombinant GAD65 may detect very high-titer GADA with possible clinical relevance.

  • 33. Hedman, M H
    et al.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Public Health and Clinical Medicine, Family Medicine. Allmänmedicin.
    Hägg, Erik
    Umeå University, Faculty of Medicine, Public Health and Clinical Medicine, Medicine. Medicin.
    Mincheva-Nilsson, Lucia
    Umeå University, Faculty of Medicine, Clinical Microbiology, Clinical Immunology.
    Lindahl, Bernt
    Umeå University, Faculty of Medicine, Public Health and Clinical Medicine.
    Association between insulin resistance and GAD65-autoantibody levels--a pilot study in an adult non-diabetic population.2004In: Autoimmunity, ISSN 0891-6934, Vol. 37, no 1, p. 33-6Article in journal (Refereed)
  • 34. Kengne, Andre Pascal
    et al.
    Beulens, Joline W. J.
    Peelen, Linda M.
    Moons, Karel G. M.
    van der Schouw, Yvonne T.
    Schulze, Matthias B.
    Spijkerman, Annemieke M. W.
    Griffin, Simon J.
    Grobbee, Diederick E.
    Palla, Luigi
    Tormo, Maria-Jose
    Arriola, Larraitz
    Barengo, Noel C.
    Barricarte, Aurelio
    Boeing, Heiner
    Bonet, Catalina
    Clavel-Chapelon, Francoise
    Dartois, Laureen
    Fagherazzi, Guy
    Franks, Paul W.
    Maria Huerta, Jose
    Kaaks, Rudolf
    Key, Timothy J.
    Khaw, Kay Tee
    Li, Kuanrong
    Muehlenbruch, Kristin
    Nilsson, Peter M.
    Overvad, Kim
    Overvad, Thure F.
    Palli, Domenico
    Panico, Salvatore
    Ramon Quiros, J.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Roswall, Nina
    Sacerdote, Carlotta
    Sanchez, Maria-Jose
    Slimani, Nadia
    Tagliabue, Giovanna
    Tjonneland, Anne
    Tumino, Rosario
    van der A, Daphne L.
    Forouhi, Nita G.
    Sharp, Stephen J.
    Langenberg, Claudia
    Riboli, Elio
    Wareham, Nicholas J.
    Non-invasive risk scores for prediction of type 2 diabetes (EPIC-InterAct): a validation of existing models2014In: Lancet Diabetes & Endocrinology, ISSN 2213-8587, Vol. 2, no 1, p. 19-29Article in journal (Refereed)
    Abstract [en]

    Background The comparative performance of existing models for prediction of type 2 diabetes across populations has not been investigated. We validated existing non-laboratory-based models and assessed variability in predictive performance in European populations. Methods We selected non-invasive prediction models for incident diabetes developed in populations of European ancestry and validated them using data from the EPIC-InterAct case-cohort sample (27 779 individuals from eight European countries, of whom 12 403 had incident diabetes). We assessed model discrimination and calibration for the first 10 years of follow-up. The models were first adjusted to the country-specific diabetes incidence. We did the main analyses for each country and for subgroups defined by sex, age (<60 years vs >= 60 years), BMI (<25 kg/m(2) vs >= 25 kg/m(2)), and waist circumference (men <102 cm vs >= 102 cm; women <88 cm vs >= 88 cm). Findings We validated 12 prediction models. Discrimination was acceptable to good: C statistics ranged from 0.76 (95% CI 0.72-0.80) to 0.81 (0.77-0.84) overall, from 0.73 (0.70-0.76) to 0.79 (0.74-0.83) in men, and from 0.78 (0.74-0.82) to 0.81 (0.80-0.82) in women. We noted significant heterogeneity in discrimination (p(heterogeneity) <0.0001) in all but one model. Calibration was good for most models, and consistent across countries (p(heterogeneity) >0.05) except for three models. However, two models overestimated risk, DPoRT by 34% (95% CI 29-39%) and Cambridge by 40% (28-52%). Discrimination was always better in individuals younger than 60 years or with a low waist circumference than in those aged at least 60 years or with a large waist circumference. Patterns were inconsistent for BMI. All models overestimated risks for individuals with a BMI of <25 kg/m(2). Calibration patterns were inconsistent for age and waist-circumference subgroups. Interpretation Existing diabetes prediction models can be used to identify individuals at high risk of type 2 diabetes in the general population. However, the performance of each model varies with country, age, sex, and adiposity.

  • 35. Kroeger, Janine
    et al.
    Schulze, Matthias B
    Romaguera, Dora
    Guevara, Marcela
    Buijsse, Brian
    Boeing, Heiner
    Beulens, Joline WJ
    Feskens, Edith JM
    Amiano, Pilar
    Ardanaz, Eva
    Agnoli, Claudia
    Buckland, Genevieve
    Clavel-Chapelon, Francoise
    Dahm, Christina C
    Fagherazzi, Guy
    Franks, Paul W
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine.
    Kaaks, Rudolf
    Key, Timothy J
    Khaw, Kay Tee
    Lajous, Martin
    Mattiello, Amalia
    Menendez Garcia, Virginia
    Navarro, Carmen
    Nilsson, Peter M
    Overvad, Kim
    Palli, Domenico
    Ricceri, Fulvio
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Sanchez, Maria-Jose
    Slimani, Nadia
    Spijkerman, Annemieke MW
    Tjonneland, Anne
    Tumino, Rosario
    van der A, Daphne L
    Langenberg, Claudia
    Sharp, Stephen J
    Forouhi, Nita G
    Riboli, Elio
    Wareham, Nicholas J
    Adherence to predefined dietary patterns and incident type 2 diabetes in European populations: EPIC-InterAct Study2014In: Diabetologia, ISSN 0012-186X, E-ISSN 1432-0428, Vol. 57, no 2, p. 321-333Article in journal (Refereed)
    Abstract [en]

    Few studies have investigated the relationship between predefined dietary patterns and type 2 diabetes incidence; little is known about the generalisability of these associations. We aimed to assess the association between predefined dietary patterns and type 2 diabetes risk in European populations. From among a case-cohort of 12,403 incident diabetes cases and 16,154 subcohort members nested within the prospective European Prospective Investigation into Cancer and Nutrition study, we used data on 9,682 cases and 12,595 subcohort participants from seven countries. Habitual dietary intake was assessed at baseline with country-specific dietary questionnaires. Two diet-quality scores (alternative Healthy Eating Index [aHEI], Dietary Approaches to Stop Hypertension [DASH] score) and three reduced rank regression (RRR)-derived dietary-pattern scores were constructed. Country-specific HRs were calculated and combined using a random-effects meta-analysis. After multivariable adjustment, including body size, the aHEI and DASH scores were not significantly associated with diabetes, although for the aHEI there was a tendency towards an inverse association in countries with higher mean age. We observed inverse associations of the three RRR-derived dietary-pattern scores with diabetes: HRs (95% CIs) for a 1-SD difference were 0.91 (0.86, 0.96), 0.92 (0.84, 1.01) and 0.87 (0.82, 0.92). Random-effects meta-analyses revealed heterogeneity between countries that was explainable by differences in the age of participants or the distribution of dietary intake. Adherence to specific RRR-derived dietary patterns, commonly characterised by high intake of fruits or vegetables and low intake of processed meat, sugar-sweetened beverages and refined grains, may lower type 2 diabetes risk.

  • 36. Langenberg, C.
    et al.
    Sharp, S.
    Forouhi, N. G.
    Franks, Paul
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine.
    Schulze, M. B.
    Kerrison, N.
    Ekelund, U.
    Barroso, I.
    Panico, S.
    Tormo, M. J.
    Spranger, J.
    Griffin, S.
    van der Schouw, Y. T.
    Amiano, P.
    Ardanaz, E.
    Arriola, L.
    Balkau, B.
    Barricarte, A.
    Beulens, J. W. J.
    Boeing, H.
    Bueno-de-Mesquita, H. B.
    Buijsse, B.
    Chirlaque Lopez, M. D.
    Clavel-Chapelon, F.
    Crowe, F. L.
    de Lauzon-Guillan, B.
    Deloukas, P.
    Dorronsoro, M.
    Drogan, D.
    Froguel, P.
    Gonzalez, C.
    Grioni, S.
    Groop, L.
    Groves, C.
    Hainaut, P.
    Halkjaer, J.
    Hallmans, Göran
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Nutritional Research.
    Hansen, T.
    Huerta Castano, J. M.
    Kaaks, R.
    Key, T. J.
    Khaw, K. T.
    Koulman, A.
    Mattiello, A.
    Navarro, C.
    Nilsson, P.
    Norat, T.
    Overvad, K.
    Palla, L.
    Palli, D.
    Pedersen, O.
    Peeters, P. H.
    Quiros, J. R.
    Ramachandran, A.
    Rodriguez-Suarez, L.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Romaguera, D.
    Romieu, I.
    Sacerdote, C.
    Sanchez, M. J.
    Sandbaek, A.
    Slimani, N.
    Sluijs, I.
    Spijkerman, A. M. W.
    Teucher, B.
    Tjonneland, A.
    Tumino, R.
    van der A, D. L.
    Verschuren, W. M. M.
    Tuomilehto, J.
    Feskens, E.
    McCarthy, M.
    Riboli, E.
    Wareham, N. J.
    Design and cohort description of the InterAct Project: an examination of the interaction of genetic and lifestyle factors on the incidence of type 2 diabetes in the EPIC Study2011In: Diabetologia, ISSN 0012-186X, E-ISSN 1432-0428, Vol. 54, no 9, p. 2272-2282Article in journal (Refereed)
    Abstract [en]

    Studying gene-lifestyle interaction may help to identify lifestyle factors that modify genetic susceptibility and uncover genetic loci exerting important subgroup effects. Adequately powered studies with prospective, unbiased, standardised assessment of key behavioural factors for gene-lifestyle studies are lacking. This case-cohort study aims to investigate how genetic and potentially modifiable lifestyle and behavioural factors, particularly diet and physical activity, interact in their influence on the risk of developing type 2 diabetes. Incident cases of type 2 diabetes occurring in European Prospective Investigation into Cancer and Nutrition (EPIC) cohorts between 1991 and 2007 from eight of the ten EPIC countries were ascertained and verified. Prentice-weighted Cox regression and random-effects meta-analyses were used to investigate differences in diabetes incidence by age and sex. A total of 12,403 verified incident cases of type 2 diabetes occurred during 3.99 million person-years of follow-up of 340,234 EPIC participants eligible for InterAct. We defined a centre-stratified subcohort of 16,154 individuals for comparative analyses. Individuals with incident diabetes who were randomly selected into the subcohort (n = 778) were included as cases in the analyses. All prevalent diabetes cases were excluded from the study. InterAct cases were followed-up for an average of 6.9 years; 49.7% were men. Mean baseline age and age at diagnosis were 55.6 and 62.5 years, mean BMI and waist circumference values were 29.4 kg/m(2) and 102.7 cm in men, and 30.1 kg/m(2) and 92.8 cm in women, respectively. Risk of type 2 diabetes increased linearly with age, with an overall HR of 1.56 (95% CI 1.48-1.64) for a 10 year age difference, adjusted for sex. A male excess in the risk of incident diabetes was consistently observed across all countries, with a pooled HR of 1.51 (95% CI 1.39-1.64), adjusted for age. InterAct is a large, well-powered, prospective study that will inform our understanding of the interplay between genes and lifestyle factors on the risk of type 2 diabetes development.

  • 37. Langenberg, Claudia
    et al.
    Sharp, Stephen J.
    Franks, Paul W.
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine. Lund University, Malmö, Sweden.
    Scott, Robert A.
    Deloukas, Panos
    Forouhi, Nita G.
    Froguel, Philippe
    Groop, Leif C.
    Hansen, Torben
    Palla, Luigi
    Pedersen, Oluf
    Schulze, Matthias B.
    Tormo, Maria-Jose
    Wheeler, Eleanor
    Agnoli, Claudia
    Arriola, Larraitz
    Barricarte, Aurelio
    Boeing, Heiner
    Clarke, Geraldine M.
    Clavel-Chapelon, Francoise
    Duell, Eric J.
    Fagherazzi, Guy
    Kaaks, Rudolf
    Kerrison, Nicola D.
    Key, Timothy J.
    Khaw, Kay Tee
    Kroeger, Janine
    Lajous, Martin
    Morris, Andrew P.
    Navarro, Carmen
    Nilsson, Peter M.
    Overvad, Kim
    Palli, Domenico
    Panico, Salvatore
    Quiros, J. Ramon
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Sacerdote, Carlotta
    Sanchez, Maria-Jose
    Slimani, Nadia
    Spijkerman, Annemieke M. W.
    Tumino, Rosario
    van der A, Daphne L.
    van der Schouw, Yvonne T.
    Barroso, Ines
    McCarthy, Mark I.
    Riboli, Elio
    Wareham, Nicholas J.
    Gene-Lifestyle Interaction and Type 2 Diabetes: the EPIC InterAct Case-Cohort Study2014In: PLoS Medicine, ISSN 1549-1277, E-ISSN 1549-1676, Vol. 11, no 5, article id e1001647Article in journal (Refereed)
    Abstract [en]

    Background: Understanding of the genetic basis of type 2 diabetes (T2D) has progressed rapidly, but the interactions between common genetic variants and lifestyle risk factors have not been systematically investigated in studies with adequate statistical power. Therefore, we aimed to quantify the combined effects of genetic and lifestyle factors on risk of T2D in order to inform strategies for prevention. Methods and Findings: The InterAct study includes 12,403 incident T2D cases and a representative sub-cohort of 16,154 individuals from a cohort of 340,234 European participants with 3.99 million person-years of follow-up. We studied the combined effects of an additive genetic T2D risk score and modifiable and non-modifiable risk factors using Prentice-weighted Cox regression and random effects meta-analysis methods. The effect of the genetic score was significantly greater in younger individuals (p for interaction = 1.20x10(-4)). Relative genetic risk (per standard deviation [4.4 risk alleles]) was also larger in participants who were leaner, both in terms of body mass index (p for interaction = 1.50x10(-3)) and waist circumference (p for interaction = 7.49x10(-9)). Examination of absolute risks by strata showed the importance of obesity for T2D risk. The 10-y cumulative incidence of T2D rose from 0.25% to 0.89% across extreme quartiles of the genetic score in normal weight individuals, compared to 4.22% to 7.99% in obese individuals. We detected no significant interactions between the genetic score and sex, diabetes family history, physical activity, or dietary habits assessed by a Mediterranean diet score. Conclusions: The relative effect of a T2D genetic risk score is greater in younger and leaner participants. However, this subgroup is at low absolute risk and would not be a logical target for preventive interventions. The high absolute risk associated with obesity at any level of genetic risk highlights the importance of universal rather than targeted approaches to lifestyle intervention.

  • 38. Langenberg, Claudia
    et al.
    Sharp, Stephen J.
    Schulze, Matthias B
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Overvad, Kim
    Forouhi, Nita G
    Spranger, Joachim
    Drogan, Dagmar
    Maria Huerta, Jose
    Arriola, Larraitz
    de Lauzon-Guillan, Blandine
    Tormo, Maria-Jose
    Ardanaz, Eva
    Balkau, Beverley
    Beulens, Joline WJ
    Boeing, Heiner
    Bueno-de-Mesquita, H Bas
    Clavel-Chapelon, Francoise
    Crowe, Francesca L
    Franks, Paul W
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine.
    Gonzalez, Carlos A
    Grioni, Sara
    Halkjaer, Jytte
    Hallmans, Göran
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Nutritional Research.
    Kaaks, Rudolf
    Kerrison, Nicola D
    Key, Timothy J
    Khaw, Kay Tee
    Mattiello, Amalia
    Nilsson, Peter
    Norat, Teresa
    Palla, Luigi
    Palli, Domenico
    Panico, Salvatore
    Ramon Quiros, J
    Romaguera, Dora
    Romieu, Isabelle
    Sacerdote, Carlotta
    Sanchez, Maria-Jose
    Slimani, Nadia
    Sluijs, Ivonne
    Spijkerman, Annemieke MW
    Teucher, Birgit
    Tjonneland, Anne
    Tumino, Rosario
    Daphne, L van der A
    van der Schouw, Yvonne T
    Feskens, Edith JM
    Riboli, Elio
    Wareham, Nicholas J
    Long-term risk of incident type 2 diabetes and measures of overall and regional obesity: the EPIC-interact case-cohort study2012In: PLoS Medicine, ISSN 1549-1277, E-ISSN 1549-1676, Vol. 9, no 6, p. e1001230-Article in journal (Refereed)
    Abstract [en]

    Background: Waist circumference (WC) is a simple and reliable measure of fat distribution that may add to the prediction of type 2 diabetes (T2D), but previous studies have been too small to reliably quantify the relative and absolute risk of future diabetes by WC at different levels of body mass index (BMI).

    Methods and Findings: The prospective InterAct case-cohort study was conducted in 26 centres in eight European countries and consists of 12,403 incident T2D cases and a stratified subcohort of 16,154 individuals from a total cohort of 340,234 participants with 3.99 million person-years of follow-up. We used Prentice-weighted Cox regression and random effects meta-analysis methods to estimate hazard ratios for T2D. Kaplan-Meier estimates of the cumulative incidence of T2D were calculated. BMI and WC were each independently associated with T2D, with WC being a stronger risk factor in women than in men. Risk increased across groups defined by BMI and WC; compared to low normal weight individuals (BMI 18.5-22.4 kg/m(2)) with a low WC (< 94/80 cm in men/women), the hazard ratio of T2D was 22.0 (95% confidence interval 14.3; 33.8) in men and 31.8 (25.2; 40.2) in women with grade 2 obesity (BMI >= 35 kg/m(2)) and a high WC (> 102/88 cm). Among the large group of overweight individuals, WC measurement was highly informative and facilitated the identification of a subgroup of overweight people with high WC whose 10-y T2D cumulative incidence (men, 70 per 1,000 person-years; women, 44 per 1,000 person-years) was comparable to that of the obese group (50-103 per 1,000 person-years in men and 28-74 per 1,000 person-years in women).

    Conclusions: WC is independently and strongly associated with T2D, particularly in women, and should be more widely measured for risk stratification. If targeted measurement is necessary for reasons of resource scarcity, measuring WC in overweight individuals may be an effective strategy, since it identifies a high-risk subgroup of individuals who could benefit from individualised preventive action.

  • 39.
    Lilja, Mikael
    et al.
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Norberg, Margareta
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Epidemiology and Global Health.
    Söderberg, Stefan
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Cardiology.
    The iImpact of Leptin and Adiponectin on incident type 2 Diabetes is modified by sex and insulin resistance2012In: Metabolic Syndrome and Related Disorders, ISSN 1540-4196, E-ISSN 1557-8518, Vol. 10, no 2, p. 143-151Article in journal (Refereed)
    Abstract [en]

    Background: Adiponectin and leptin and their ratio have been associated with incident type 2 diabetes (T2DM), although the data presented are conflicting and the populations studied have been small. In this large, prospective, nested, case referent study, we hypothesized that these associations are sex specific and may be modified by insulin resistance. Methods: Men and women aged 30-60 years with incident T2DM (n = 640) and a prior health survey within the Vasterbotten Intervention Programme (VIP) and matched referents (n = 1564) were identified. Using conditional logistic regression analyses, we tested whether baseline plasma adiponectin and leptin levels and their ratio independently predicted incident T2DM, stratified for gender and insulin resistance. Results: Adjusted for traditional risk factors, fourth-quartile levels of adiponectin were associated with a reduced risk of T2DM in men [odds ratio (OR) 0.55 (0.36-0.86)] and women [OR 0.47 (0.27-0.83)]. Quartile four of the leptin/adiponectin ratio predicted T2DM in both men [OR 3.08 (1.68-5.67)] and women [OR 3.31 (1.56-7.03)], whereas quartile-four levels of leptin predicted T2DM only in men [OR 2.30 (1.32-4.02)]. When stratified for insulin sensitivity and adjusted for body mass index (BMI), loge-transformed leptin predicted T2DM in insulin-sensitive men [OR 1.56 (1.13-2.17)] but not in insulin-resistant men [OR 1.03 (0.76-1.39)]. The effect of adiponectin and the leptin/adiponectin ratio was not influenced by the insulin sensitivity status. Conclusions: Leptin in men and adiponectin in both sexes were independent predictors of T2DM. The association was modified by the degree of insulin sensitivity. The leptin/adiponectin ratio may add predictive information beyond the separate hormones.

  • 40.
    Lilja, Mikael
    et al.
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Norberg, Margareta
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Epidemiology and Global Health.
    Söderberg, Stefan
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine.
    The impact of leptin and adiponectin on incident type 2 diabetes is modified by sex and insulin resistanceManuscript (preprint) (Other academic)
    Abstract [en]

    Background Adiponectin and leptin and their ratio have been associated with incident type 2 diabetes (T2DM), although presented data are conflicting and populations studied have been small. In this large prospective nested case referent study, we hypothesised that these associations are sex-specific and may be modified by insulin resistance.

    Methods Men and women aged 30–60 years with incident T2DM (n=640) and a prior health survey within the Västerbotten Intervention Programme (VIP), and matched referents (n=1564) were identified. Using conditional logistic regression analyses, we tested whether baseline plasma adiponectin and leptin levels and their ratio independently predicted incident T2DM, stratified for gender and insulin resistance.

    Results Adjusted for traditional risk factors, fourth-quartile levels of adiponectin were associated with a reduced risk of T2DM in men (OR 0.55 [0.36–0.86]) and women (OR 0.47 [0.27–0.83]). Quartile four of the leptin/adiponectin ratio predicted T2DM in both men (OR 3.08 [1.68–5.67]) and women (OR 3.31 [1.56–7.03]), while quartile-four levels of leptin predicted T2DM only in men (OR 2.30 [1.32–4.02]). When stratified for insulin sensitivity and adjusted for BMI, loge-transformed leptin predicted T2DM in insulin-sensitive men (OR 1.56 [1.13–2.17]) but not in insulin-resistant men (OR 1.03 [0.76–1.39]). The effect of adiponectin and the leptin/adiponectin ratio was not influenced by the insulin sensitivity status.

    Conclusions Leptin in men and adiponectin in both sexes were independent predictors of T2DM. The association was modified by the degree of insulin sensitivity. The leptin/adiponectin ratio may add predictive information beyond the separate hormones

  • 41.
    Lilja, Mikael
    et al.
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Shaw, JE
    Baker IDI Heart and diabetes institute, Melbourne.
    Pauvaday, Vassen
    Ministry of Health and Quality of Life, Port Louis, Mauritiu.
    Cameron, Adrian
    Baker IDI, Heart and diabetes institute, Melbourne.
    Tuomilehto, J
    Department of Public Health, University of Helsinki.
    Alberti, KGMM
    Department of Endocrinology and Metabolic Medicine, Imperial College, London.
    Zimmet, Paul
    Baker IDI, Heart and diabetes institute, Melbourne.
    Söderberg, Stefan
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine.
    Higher leptin levels in Asian Indians than Creoles and Europids:  a potential explanation for increased metabolic risk2010In: International Journal of Obesity, ISSN 0307-0565, E-ISSN 1476-5497, Vol. 34, no 5, p. 878-885Article in journal (Refereed)
    Abstract [en]

    BACKGROUND AND PURPOSE:

    Leptin predicts cardiovascular diseases and type 2 diabetes, diseases to which Asian Indians are highly susceptible. As a risk marker, leptin's intra-individual and seasonal stability is unstudied and only small studies have compared leptin levels in Asian Indians with other populations. The aim of this study was to explore ethnicity related differences in leptin levels and its intra-individual and seasonal stability.

    METHODS:

    Leptin and anthropometric data from the northern Sweden MONICA (3513 Europids) and the Mauritius Non-communicable Disease (2480 Asian Indians and Creoles) studies were used. In both studies men and women, 25- to 74-year old, participated in both an initial population survey and a follow-up after 5-13 years. For the analysis of seasonal leptin variation, a subset of 1780 participants, 30- to 60-year old, in the Västerbotten Intervention Project was used.

    RESULTS:

    Asian Indian men and women had higher levels of leptin, leptin per body mass index (BMI) unit (leptin/BMI) or per cm in waist circumference (WC; leptin/waist) than Creoles and Europids when adjusted for BMI (all P<0.0005) or WC (all P<0.005). In men, Creoles had higher leptin, leptin/BMI and leptin/waist than Europids when adjusted for BMI or WC (all P<0.0005). In women, Creoles had higher leptin/BMI and leptin/waist than Europids only when adjusted for WC (P<0.0005). Asian Indian ethnicity in both sexes, and Creole ethnicity in men, was independently associated with high leptin levels. The intra-class correlation for leptin was similar (0.6-0.7), independently of sex, ethnicity or follow-up time. No seasonal variation in leptin levels was seen.

    CONCLUSION:

    Asian Indians have higher levels of leptin, leptin/BMI and leptin/waist than Creoles and Europids. Leptin has a high intra-individual stability and seasonal leptin variation does not appear to explain the ethnic differences observed here

  • 42. Long, G H
    et al.
    Johansson, Ingegerd
    Umeå University, Faculty of Medicine, Department of Odontology.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Wennberg, Patrik
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Fhärm, Eva
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Weinehall, Lars
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Epidemiology and Global Health.
    Griffin, S J
    Simmons, R K
    Norberg, Margareta
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Epidemiology and Global Health. Umeå University, Faculty of Social Sciences, Centre for Population Studies (CPS).
    Healthy behaviours and 10-year incidence of diabetes: a population cohort study2015In: Preventive Medicine, ISSN 0091-7435, E-ISSN 1096-0260, Vol. 71, p. 121-127Article in journal (Refereed)
    Abstract [en]

    OBJECTIVE: To examine the association between meeting behavioural goals and diabetes incidence over 10years in a large, representative Swedish population.

    METHODS: Population-based prospective cohort study of 32,120 individuals aged 35 to 55years participating in a health promotion intervention in Västerbotten County, Sweden (1990 to 2013). Participants underwent an oral glucose tolerance test, clinical measures, and completed diet and activity questionnaires. Poisson regression quantified the association between achieving six behavioural goals at baseline - body mass index (BMI) <25kg/m(2), moderate physical activity, non-smoker, fat intake <30% of energy, fibre intake ≥15g/4184kJ and alcohol intake ≤20g/day - and diabetes incidence over 10years.

    RESULTS: Median interquartile range (IQR) follow-up time was 9.9 (0.3) years; 2211 individuals (7%) developed diabetes. Only 4.4% of participants met all 6 goals (n=1245) and compared to these individuals, participants meeting 0/1 goals had a 3.74 times higher diabetes incidence (95% confidence interval (CI)=2.50 to 5.59), adjusting for sex, age, calendar period, education, family history of diabetes, history of myocardial infarction and long-term illness. If everyone achieved at least four behavioural goals, 14.1% (95% CI: 11.7 to 16.5%) of incident diabetes cases might be avoided.

    CONCLUSION: Interventions promoting the achievement of behavioural goals in the general population could significantly reduce diabetes incidence.

  • 43. Long, Gráinne H.
    et al.
    Simmons, Rebecca K.
    Norberg, Margareta
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Epidemiology and Global Health. Umeå University, Faculty of Social Sciences, Centre for Population Studies (CPS). Ageing and Living Conditions Programme.
    Wennberg, Patrik
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Lindahl, Bernt
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Occupational and Environmental Medicine.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Griffin, Simon J.
    Weinehall, Lars
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Epidemiology and Global Health.
    Temporal shifts in cardiovascular risk factor distribution2014In: American Journal of Preventive Medicine, ISSN 0749-3797, E-ISSN 1873-2607, Vol. 46, no 2, p. 112-121Article in journal (Refereed)
    Abstract [en]

    BACKGROUND: Complementary strategies to shift risk factor population distributions and target high-risk individuals are required to reduce the burden of type 2 diabetes and cardiovascular disease (CVD).

    PURPOSE: To examine secular changes in glucose and CVD risk factors over 20 years during an individual and population-based CVD prevention program in Västerbotten County, Sweden.

    METHODS: Population-based health promotion intervention was conducted and annual invitation for individuals turning 40, 50, and 60 years to attend a health assessment, including an oral glucose tolerance test, biochemical measures, and a questionnaire. Data were collected between 1991 and 2010, analyzed in 2012 and available for 120,929 individuals. Linear regression modeling examined age-adjusted differences in CVD risk factor means over time. Data were direct-age-standardized to compare disease prevalence.

    RESULTS: Between 1991-1995 and 2006-2010, mean age-adjusted cholesterol (men=-0.53, 95% CI=-0.55, -0.50 mmol/L; women=-0.48, 95% CI=-0.50, -0.45 mmol/L) and systolic blood pressure declined (men=-3.06, 95% CI=-3.43, -2.70 mm Hg; women=-5.27, 95% CI=-5.64, -4.90 mm Hg), with corresponding decreases in the age-standardized prevalence of hypertension and hyperlipidemia. Mean age-adjusted 2-hour plasma glucose (men=0.19, 95% CI=0.15, 0.23 mmol/L; women=0.08, 95% CI=0.04, 0.11 mmol/L) and BMI increased (men=1.12, 95% CI=1.04, 1.21; women=0.65, 95% CI=0.55, 0.75), with increases in the age-standardized prevalence of diabetes and obesity.

    CONCLUSIONS: These data demonstrate the potential of combined individual- and population-based approaches to CVD risk factor control and highlight the need for additional strategies addressing hyperglycemia and obesity.

  • 44. Luo, D
    et al.
    Gilliam, L K
    Greenbaum, C
    Bekris, L
    Hampe, C S
    Daniels, T
    Richter, W
    Marcovina, S M
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Public Health and Clinical Medicine, Family Medicine.
    Landin-Olsson, M
    Kockum, I
    Lernmark, A
    Conformation-dependent GAD65 autoantibodies in diabetes.2004In: Diabetologia, ISSN 0012-186X, Vol. 47, no 9, p. 1581-91Article in journal (Refereed)
  • 45. Nettleton, Jennifer A.
    et al.
    Hivert, Marie-France
    Lemaitre, Rozenn N.
    McKeown, Nicola M.
    Mozaffarian, Dariush
    Tanaka, Toshiko
    Wojczynski, Mary K.
    Hruby, Adela
    Djousse, Luc
    Ngwa, Julius S.
    Follis, Jack L.
    Dimitriou, Maria
    Ganna, Andrea
    Houston, Denise K.
    Kanoni, Stavroula
    Mikkila, Vera
    Manichaikul, Ani
    Ntalla, Ioanna
    Renström, Frida
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine.
    Sonestedt, Emily
    van Rooij, Frank J. A.
    Bandinelli, Stefania
    de Koning, Lawrence
    Ericson, Ulrika
    Hassanali, Neelam
    Kiefte-de Jong, Jessica C.
    Lohman, Kurt K.
    Raitakari, Olli
    Papoutsakis, Constantina
    Sjogren, Per
    Stirrups, Kathleen
    Ax, Erika
    Deloukas, Panos
    Groves, Christopher J.
    Jacques, Paul F.
    Johansson, Ingegerd
    Umeå University, Faculty of Medicine, Department of Odontology, Cariology.
    Liu, Yongmei
    McCarthy, Mark I.
    North, Kari
    Viikari, Jorma
    Zillikens, M. Carola
    Dupuis, Josee
    Hofman, Albert
    Kolovou, Genovefa
    Mukamal, Kenneth
    Prokopenko, Inga
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Seppala, Ilkka
    Cupples, L. Adrienne
    Hu, Frank B.
    Kahonen, Mika
    Uitterlinden, Andre G.
    Borecki, Ingrid B.
    Ferrucci, Luigi
    Jacobs, David R., Jr.
    Kritchevsky, Stephen B.
    Orho-Melander, Marju
    Pankow, James S.
    Lehtimaki, Terho
    Witteman, Jacqueline C. M.
    Ingelsson, Erik
    Siscovick, David S.
    Dedoussis, George
    Meigs, James B.
    Franks, Paul W.
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine.
    Meta-analysis investigating associations between healthy diet and fasting glucose and insulin levels and modification by loci associated with glucose homeostasis in data from 15 cohorts2013In: American Journal of Epidemiology, ISSN 0002-9262, E-ISSN 1476-6256, Vol. 177, no 2, p. 103-115Article, review/survey (Refereed)
    Abstract [en]

    Whether loci that influence fasting glucose (FG) and fasting insulin (FI) levels, as identified by genome-wide association studies, modify associations of diet with FG or FI is unknown. We utilized data from 15 US and European cohort studies comprising 51,289 persons without diabetes to test whether genotype and diet interact to influence FG or FI concentration. We constructed a diet score using study-specific quartile rankings for intakes of whole grains, fish, fruits, vegetables, and nuts/seeds (favorable) and red/processed meats, sweets, sugared beverages, and fried potatoes (unfavorable). We used linear regression within studies, followed by inverse-variance-weighted meta-analysis, to quantify 1) associations of diet score with FG and FI levels and 2) interactions of diet score with 16 FG-associated loci and 2 FI-associated loci. Diet score (per unit increase) was inversely associated with FG ( 0.004 mmol/L, 95 confidence interval: 0.005, 0.003) and FI ( 0.008 ln-pmol/L, 95 confidence interval: 0.009, 0.007) levels after adjustment for demographic factors, lifestyle, and body mass index. Genotype variation at the studied loci did not modify these associations. Healthier diets were associated with lower FG and FI concentrations regardless of genotype at previously replicated FG- and FI-associated loci. Studies focusing on genomic regions that do not yield highly statistically significant associations from main-effect genome-wide association studies may be more fruitful in identifying diet-gene interactions.

  • 46. Nettleton, Jennifer A
    et al.
    McKeown, Nicola M
    Kanoni, Stavroula
    Lemaitre, Rozenn N
    Hivert, Marie-France
    Ngwa, Julius
    van Rooij, Frank J A
    Sonestedt, Emily
    Wojczynski, Mary K
    Ye, Zheng
    Tanaka, Toshiko
    Garcia, Melissa
    Anderson, Jennifer S
    Follis, Jack L
    Djousse, Luc
    Mukamal, Kenneth
    Papoutsakis, Constantina
    Mozaffarian, Dariush
    Zillikens, M Carola
    Bandinelli, Stefania
    Bennett, Amanda J
    Borecki, Ingrid B
    Feitosa, Mary F
    Ferrucci, Luigi
    Forouhi, Nita G
    Groves, Christopher J
    Hallmans, Göran
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Nutritional Research.
    Harris, Tamara
    Hofman, Albert
    Houston, Denise K
    Hu, Frank B
    Johansson, Ingegerd
    Umeå University, Faculty of Medicine, Department of Odontology.
    Kritchevsky, Stephen B
    Langenberg, Claudia
    Launer, Lenore
    Liu, Yongmei
    Loos, Ruth J
    Nalls, Michael
    Orho-Melander, Marju
    Renström, Frida
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine.
    Rice, Kenneth
    Riserus, Ulf
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Rotter, Jerome I
    Saylor, Georgia
    Sijbrands, Eric JG
    Sjögren, Per
    Smith, Albert
    Steingrímsdóttir, Laufey
    Uitterlinden, André G
    Wareham, Nicholas J
    Prokopenko, Inga
    Pankow, James S
    van Duijn, Cornelia M
    Flores, Jose C
    Witteman, Jaqueline CM
    Dupuis, Josée
    Dedoussis, George V
    Ordovas, Jose M
    Ingelsson, Erik
    Cupples, L Adrienne
    Siscovick, David S
    Franks, Paul W
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine.
    Meigs, James B
    Interactions of dietary whole-grain intake with fasting glucose- and insulin-related genetic loci in individuals of European descent: a meta-analysis of 14 cohort studies2010In: Diabetes Care, ISSN 0149-5992, E-ISSN 1935-5548, Vol. 33, no 12, p. 2684-2691Article in journal (Refereed)
    Abstract [en]

    Our results support the favorable association of whole-grain intake with fasting glucose and insulin and suggest a potential interaction between variation in GCKR and whole-grain intake in influencing fasting insulin concentrations.

  • 47.
    Nilsson, Anna-Lena
    et al.
    Department of Pediatrics, Östersund Hospital, Östersund, Sweden.
    Lagerquist, E
    Department of Medicine, University of Washington, Seattle, WA, USA.
    Lynch, KF
    Department of Clinical Sciences, Lund University/CRC, University Hospital MAS, Malmö, Sweden.
    Lernmark, Å
    Department of Clinical Sciences, Lund University/CRC, University Hospital MAS, Malmö, Sweden.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Temporal variation of Ljungan Virus antibody levels in relation to islet autoantibodies and possible correlation to childhood type 1 diabetes2009In: The Open Pediatric Medicine Journal, Vol. 3, p. 61-66Article in journal (Refereed)
    Abstract [en]

    Viral infection may trigger islet autoimmunity, type 1diabetes (T1D), or both. Fluctuating population density of bank voles as a putative reservoir of Ljungan virus has been claimed to be associated with variations in T1D incidence rate (IR). We tested the hypothesis that Ljungan virus antibodies reflecting prior exposure(s) to the virus may be associated with islet autoimmunity, childhood diabetes or both. Incident, 0-18y, T1D patients (n = 63) were studied along with age and sample time matched controls (n = 126). The younger children (< 9 years) tended to have a higher incidence rate during winter (IR = 67.6, 95%CI 41.9-103.5) compared to summer (IR = 33.6, 95%CI 15.3-63.9) months. The proportion of children with high level antibodies against Ljungan virus (LVAb) were both younger compared to the rest of the children (p < 0.002) and correlated with half yearly T1D IR (r = 0.78, p = 0.005). High level LVAb fluctuating with season and correlating with T1D IR indicates that past exposure to Ljungan virus may be associated with T1D.

  • 48. Nilsson, Mats
    et al.
    Rasmark, Ulf
    Nordgren, Helena
    Hallberg, Per
    Umeå University, Faculty of Medicine, Department of Radiation Sciences. Umeå University, Faculty of Science and Technology, Centre for Biomedical Engineering and Physics (CMTF).
    Skönevik, Johan
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Westman, Göran
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    The physician at a distance: the use of videoconferencing in the treatment of patients with hypertension2009In: Journal of Telemedicine and Telecare, ISSN 1357-633X, E-ISSN 1758-1109, Vol. 15, no 8, p. 397-403Article in journal (Refereed)
    Abstract [en]

    We evaluated the feasibility and quality of uncomplicated hypertension care based on telemedicine in a rural area of northern Sweden. The intervention subjects were 91 consecutive patients with primary hypertension. For comparison, 182 age- and sex-matched patients with hypertension were randomly selected from a similar health centre. The telemedicine equipment consisted of a video link between the physician and the patients, supported by a system for accessing medical data via the Internet. During a 21-month study period, telemedicine was used in 270 (91%) of the 297 consultations in the intervention group. All health personnel involved in the telemedicine treatment rated the method as feasible. Both systolic and diastolic blood pressure improved in the two groups during the study period. In the intervention group, a higher proportion had their blood pressure within treatment goals (systolic blood pressure <140 mmHg, diastolic blood pressure <90 mmHg) both at baseline and at follow-up than in the comparison group. An adjusted multivariate model (adjustment for sex, age, time between visits, change in number of drugs between first and last visit, blood pressure at first visit) showed that the intervention group had a higher probability (OR 2.7, 95% CI 1.4-5.2) of reaching the target blood pressure levels than the reference group. Treatment of hypertension by means of telemedicine was quite feasible and at least as effective as face-to-face consultations with a physician.

  • 49.
    Norberg, Margareta
    et al.
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Epidemiology and Public Health Sciences.
    Eriksson, Jan
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine.
    Lindahl, B
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Occupational and Environmental Medicine.
    Andersson, Christer
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Stenlund, Hans
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Epidemiology and Public Health Sciences.
    Weinehall, Lars
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Epidemiology and Public Health Sciences.
    A combination of HbA1c, fasting glucose and BMI is effective in screening for individuals at risk of future type 2 diabetes: OGTT is not needed.2006In: Journal of Internal Medicine, ISSN 0954-6820, E-ISSN 1365-2796, Vol. 260, no 3, p. 263-71Article in journal (Refereed)
    Abstract [en]

    OBJECTIVE: To identify a screening model that predicts high risk of future type 2 diabetes and is useful in clinical practice. DESIGN AND METHODS: Incident case-referent study nested within a population-based health survey. We compared screening models with three risk criteria and calculated sensitivity, specificity, positive (PPV) and negative (NPV) predictive values and attributable proportion. We used fasting plasma glucose (FPG) alone or with an oral glucose tolerance test (OGTT), glycosylated haemoglobin A (HbA1c) (normal range 3.6-5.3%), body mass index (BMI), triglycerides and family history of diabetes (FHD). SETTING: Participants in a health survey at all primary care centres (n=33,336) and subjects with diagnosed type 2 diabetes in primary and hospital care (n=6088) in Umeå during 1989-2001. SUBJECTS: Each of the 164 subjects who developed clinically diagnosed type 2 diabetes (median time to diagnosis of 5.4 years) and 304 sex- and age-matched referents without diabetes diagnosis. RESULTS: Screening models with at least one criterion present had sensitivities of 0.90-0.96, specificities of 0.43-0.57 and PPVs of 8-9%. Combinations of the criteria, FPG>or=6.1 mmol L-1 (capillary plasma), HbA1c>or=4.7% and BMI>or=27 in men and BMI>or=30 in women, had sensitivities, specificities and PPVs of 0.66%, 0.93% and 32%, and 0.52%, 0.97% and 46% respectively. Using FHD as one of three risk criteria showed comparable results. Addition of triglycerides or OGTT did not improve the prediction. CONCLUSIONS: The combination of HbA1c, FPG and BMI are effective in screening for individuals at risk of future clinical diagnosis of type 2 diabetes. OGTT or FHD is not necessary.

  • 50. Nöthlings, U
    et al.
    Boeing, H
    Maskarinec, G
    Sluik, D
    Teucher, B
    Kaaks, R
    Tjønneland, A
    Halkjaer, J
    Dethlefsen, C
    Overvad, K
    Amiano, P
    Toledo, E
    Bendinelli, B
    Grioni, S
    Tumino, R
    Sacerdote, C
    Mattiello, A
    Beulens, J W J
    Iestra, J A
    Spijkerman, A M W
    van der A, D L
    Nilsson, P
    Sonestedt, E
    Rolandsson, Olov
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
    Franks, Paul W
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine.
    Vergnaud, A-C
    Romaguera, D
    Norat, T
    Kolonel, L N
    Food intake of individuals with and without diabetes across different countries and ethnic groups.2011In: European Journal of Clinical Nutrition, ISSN 0954-3007, E-ISSN 1476-5640, Vol. 65, no 5, p. 635-41Article in journal (Refereed)
    Abstract [en]

    Background/Objectives:Given the importance of nutrition therapy in diabetes management, we hypothesized that food intake differs between individuals with and without diabetes. We investigated this hypothesis in two large prospective studies including different countries and ethnic groups.

    Subjects/Methods:Study populations were the European Prospective Investigation into Cancer and Nutrition Study (EPIC) and the Multiethnic Cohort Study (MEC). Dietary intake was assessed by food frequency questionnaires, and calibrated using 24h-recall information for the EPIC Study. Only confirmed self-reports of diabetes at cohort entry were included: 6192 diabetes patients in EPIC and 13 776 in the MEC. For the cross-sectional comparison of food intake and lifestyle variables at baseline, individuals with and without diabetes were matched 1:1 on sex, age in 5-year categories, body mass index in 2.5 kg/m(2) categories and country.

    Results:Higher intake of soft drinks (by 13 and 44% in the EPIC and MEC), and lower consumption of sweets, juice, wine and beer (>10% difference) were observed in participants with diabetes compared with those without. Consumption of vegetables, fish and meat was slightly higher in individuals with diabetes in both studies, but the differences were <10%. Findings were more consistent across different ethnic groups than countries, but generally showed largely similar patterns.

    Conclusions:Although diabetes patients are expected to undergo nutritional education, we found only small differences in dietary behavior in comparison with cohort members without diabetes. These findings suggest that emphasis on education is needed to improve the current behaviors to assist in the prevention of complications.

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