Purpose: We investigated the association between hyperacusis and aspects of psychosocial work environment in a general population. The objectives were to investigate (1) prevalence and characteristics (among age, sex, access to social support at home, education, smoking, physical exercise, and perceived general health) of hyperacusis in a general working population and (2) associations between hyperacusis and psychosocial factors in the work environment. The psychosocial work aspects included effort, reward, overcommitment, worry, and social and emotional support.

Methods: Using data from a sample stratified for age and sex from the Österbotten Environmental Health Study in Finland, currently employed participants with self-reported hyperacusis and referents were compared on questionnaire instruments quantifying six aspects of their psychosocial work environment.

Results: Among 856 currently employed participants, 47 constituted a hyperacusis group and 809 a reference group. The hyperacusis group scored significantly higher than the referents on worry at work, social support at work, and reward at work, but not on emotional support at work, work overcommitment, or effort at work. About 40% of the hyperacusis group scored on the upper quartile of the three former work environment factors, with odds ratios ranging from 1.91 to 2.56.

Conclusions: The results suggest that worrying about aspects at work, perceiving low social support, and not perceiving being rewarded at work are associated with hyperacusis.

Purpose – The purpose of this paper is to analyze the moderation effect of over-commitment in the job crafting–well-being relationship, in the elderly care sector in Spain.

Design/methodology/approach – A cross-sectional design was implemented and a final sample of 353 participants were assessed using the Job Crafting Questionnaire, an adaptation of the Over-commitment Scale from the Effort-Reward Imbalance Questionnaire, and the General Health Questionnaire (GHQ-12).

Findings – A positive interaction between relational and task crafting and over-commitment is observed in the prediction of well-being levels. Specifically, the effect of over-commitment in the task crafting–well-being relationship proved to be statistically significant when opposed to low, medium and high levels of over-commitment. Additionally, the effect of over-commitment in the relational crafting–well-being relationship proved to be statistically significant only when opposed to medium and high levels of over-commitment. Finally, a direct and simple effect was observed between cognitive crafting and well-being, not moderated by over-commitment.

Research limitations/implications – Implementation of non-behavioral measurements, and a non-longitudinal design are suggested. The development of behavioral measures for job crafting is encouraged, along with the implementation of longitudinal designs sensitive to changes in over-commitment. Possible over-commitment results are biased by an economically contracted environment.

Practical implications – Job crafting training, over-commitment early detection and further research on job crafting strategies’ preferences are suggested.

Originality/value – The moderating role of over-commitment in the job crafting–well-being relationship in the elderly care sector represents one of these attempts to better understand evidences of how work-related efforts modify a worker’s psychological functioning and adaptation, which is the reason why, specially in contexts of uncertainty, its study becomes relevant.

OBJECTIVE To examine whether physical inactivity is a risk factor for dementia, with attention to the role of cardiometabolic disease in this association and reverse causation bias that arises from changes in physical activity in the preclinical (prodromal) phase of dementia. DESIGN Meta-analysis of 19 prospective observational cohort studies. DATA SOURCES The Individual-Participant-Data Meta-analysis in Working Populations Consortium, the Inter-University Consortium for Political and Social Research, and the UK Data Service, including a total of 19 of a potential 9741 studies. REVIEW METHOD The search strategy was designed to retrieve individual-participant data from prospective cohort studies. Exposure was physical inactivity; primary outcomes were incident all-cause dementia and Alzheimer's disease; and the secondary outcome was incident cardiometabolic disease (that is, diabetes, coronary heart disease, and stroke). Summary estimates were obtained using random effects meta-analysis. RESULTS Study population included 404 840 people (mean age 45.5 years, 57.7% women) who were initially free of dementia, had a measurement of physical inactivity at study entry, and were linked to electronic health records. In 6.0 million person-years at risk, we recorded 2044 incident cases of all-cause dementia. In studies with data on dementia subtype, the number of incident cases of Alzheimer's disease was 1602 in 5.2 million person-years. When measured < 10 years before dementia diagnosis (that is, the preclinical stage of dementia), physical inactivity was associated with increased incidence of all-cause dementia (hazard ratio 1.40, 95% confidence interval 1.23 to 1.71) and Alzheimer's disease (1.36, 1.12 to 1.65). When reverse causation was minimised by assessing physical activity >= 10 years before dementia onset, no difference in dementia risk between physically active and inactive participants was observed (hazard ratios 1.01 (0.89 to 1.14) and 0.96 (0.85 to 1.08) for the two outcomes). Physical inactivity was consistently associated with increased risk of incident diabetes (hazard ratio 1.42, 1.25 to 1.61), coronary heart disease (1.24, 1.13 to 1.36), and stroke (1.16, 1.05 to 1.27). Among people in whom cardiometabolic disease preceded dementia, physical inactivity was non-significantly associated with dementia (hazard ratio for physical activity assessed > 10 before dementia onset 1.30, 0.79 to 2.14). CONCLUSIONS In analyses that addressed bias due to reverse causation, physical inactivity was not associated with all-cause dementia or Alzheimer's disease, although an indication of excess dementia risk was observed in a subgroup of physically inactive individuals who developed cardiometabolic disease.

Purpose: The knowledge about the association between Information and Communication Technology (ICT) demands at work and self-rated health (SRH) is insufficient. The aim of this study was to examine the association between repeated exposure to high ICT demands at work, and risk of suboptimal SRH, and to determine modifications by sex or socioeconomic position (SEP).

Methods: A prospective design was used, including repeated measurement of ICT demands at work, measured 2 years apart. SRH was measured at baseline and at follow-up after 4 years. The data were derived from the Swedish Longitudinal Occupational Survey of Health (SLOSH), including 4468 gainfully employees (1941 men, 2527 women) with good SRH at baseline.

Results: In the total study sample, repeated exposure to high ICT demands at work was associated with suboptimal SRH at follow-up (OR 1.34 [CI 1.06–1.70]), adjusted for age, sex, SEP, health behaviours, BMI, job strain and social support. An interaction between ICT demands and sex was observed (p = 0.010). The risk was only present in men (OR 1.53 [CI 1.09–2.16]), and not in women (OR 1.17 [CI 0.85–1.62]). The risk of suboptimal SRH after consistently high ICT demands at work was most elevated in participants with high SEP (OR 1.68 [CI 1.02–2.79]), adjusted for age, sex, health behaviours, BMI and job strain. However, no significant interaction between ICT demands and SEP regarding SRH was observed.

Conclusion: Repeated exposure to high ICT demands at work was associated with suboptimal SRH at follow-up, and the association was modified by sex.

It is widely known that the apolipoprotein E (APOE) ɛ4 allele imposes a higher risk for Alzheimer’s disease (AD). Recent evidence suggests that exposure to air pollution is also a risk factor for AD, and results from a few studies indicate that the effect of air pollution on cognitive function and dementia is stronger in APOE ɛ4 carriers than in non-carriers. Air pollution and interaction with APOE ɛ4 on AD risk thus merits further attention. We studied dementia incidence over a 15-year period from the longitudinal Betula study in Northern Sweden. As a marker for long-term exposure to traffic-related air pollution, we used modelled annual mean nitrogen oxide levels at the residential address of the participants at start of follow-up. Nitrogen oxide correlate well with fine particulate air pollution levels in the study area. We had full data on air pollution, incidence of AD and vascular dementia (VaD), APOE ɛ4 carrier status, and relevant confounding factors for 1,567 participants. As expected, air pollution was rather clearly associated with dementia incidence. However, there was no evidence for a modifying effect by APOE ɛ4 on the association (p-value for interaction > 0.30 for both total dementia (AD+VaD) and AD). The results from this study do not imply that adverse effects of air pollution on dementia incidence is limited to, or stronger in, APOE ɛ4 carriers than in the total population.

BACKGROUND: Primary prevention of cardiovascular disease often fails because of poor adherence among practitioners and individuals to prevention guidelines. We aimed to investigate whether ultrasound-based pictorial information about subclinical carotid atherosclerosis, targeting both primary care physicians and individuals, improves prevention.

METHODS: Visualization of asymptomatic atherosclerotic disease for optimum cardiovascular prevention (VIPVIZA) is a pragmatic, open-label, randomised controlled trial that was integrated within the Västerbotten Intervention Programme, an ongoing population-based cardiovascular disease prevention programme in northern Sweden. Individuals aged 40, 50, or 60 years with one or more conventional risk factors were eligible to participate. Participants underwent clinical examination, blood sampling, and ultrasound assessment of carotid intima media wall thickness and plaque formation. Participants were randomly assigned 1:1 with a computer-generated randomisation list to an intervention group (pictorial representation of carotid ultrasound plus a nurse phone call to confirm understanding) or a control group (not informed). The primary outcomes, Framingham risk score (FRS) and European systematic coronary risk evaluation (SCORE), were assessed after 1 year among participants who were followed up. This study is registered with ClinicalTrials.gov, number NCT01849575.

FINDINGS: 3532 individuals were enrolled between April 29, 2013, and June 7, 2016, of which 1783 were randomly assigned to the control group and 1749 were assigned to the intervention group. 3175 participants completed the 1-year follow-up. At the 1-year follow-up, FRS and SCORE differed significantly between groups (FRS 1·07 [95% CI 0·11 to 2·03, p=0·0017] and SCORE 0·16 [0·02 to 0·30, p=0·0010]). FRS decreased from baseline to the 1-year follow-up in the intervention group and increased in the control group (-0·58 [95% CI -0·86 to -0·30] vs 0·35 [0·08 to 0·63]). SCORE increased in both groups (0·13 [95% CI 0·09 to 0·18] vs 0·27 [0·23 to 0·30]).

INTERPRETATION: This study provides evidence of the contributory role of pictorial presentation of silent atherosclerosis for prevention of cardiovascular disease. It supports further development of methods to reduce the major problem of low adherence to medication and lifestyle modification.

Introduction: Higher midlife body mass index (BMI) is suggested to increase the risk of dementia, but weight loss during the preclinical dementia phase may mask such effects. Methods: We examined this hypothesis in 1,349,857 dementia-free participants from 39 cohort studies. BMI was assessed at baseline. Dementia was ascertained at follow-up using linkage to electronic health records (N = 6894). We assumed BMI is little affected by preclinical dementia when assessed decades before dementia onset and much affected when assessed nearer diagnosis. Results: Hazard ratios per 5-kg/m(2) increase in BMI for dementia were 0.71 (95% confidence interval = 0.66-0.77), 0.94 (0.89-0.99), and 1.16 (1.05-1.27) when BMI was assessed 10 years, 10-20 years, and >20 years before dementia diagnosis. Conclusions: The association between BMI and dementia is likely to be attributable to two different processes: a harmful effect of higher BMI, which is observable in long follow-up, and a reverse-causation effect that makes a higher BMI to appear protective when the follow-up is short. 

The main objective is to study the effects of job crafting activities of elder care and nursing home employees on their perceived well-being and quality of care in two European countries, Spain and Sweden. The Job Crafting, the General Health, and the Quality of Care questionnaires were administered to 530 employees. Correlations and hierarchical regression analyses were performed. Results confirm the effects of job crafting on quality of care (r = .291, p < .01; β = .261, p < .01; ΔR² = .065, p < .01) and employees’ well-being (r = .201, p < .01; β = .171, p < .01; ΔR² = .028, p < .01). A positive linear relationship was found between job crafting and well-being in Spain and Sweden and with quality of care in Spain. On the contrary, in Sweden, the relationship between job crafting and well-being was not linear. Job crafting contributes significantly to employees’ and residents’ well-being. Management should promote job crafting to co-create meaningful and productive work. Cultural effects are proposed to explain the differences found.

Background: Knowledge about the impact of occupational exposures, such as work stress, on the risk of atrial fibrillation is limited. The present study aims to investigate the association between job strain, a measure of work stress, and atrial fibrillation.

Design: Prospective cohort study design and fixed-effect meta-analysis.

Methods: Data from the Swedish Longitudinal Occupational Survey of Health (SLOSH) was utilised for the main analysis, combining self-reported data on work stress at baseline with follow-up data on atrial fibrillation from nationwide registers. Cox proportional hazard regression analyses were used to estimate hazard ratios and 95% confidence intervals (CIs). A fixed-effect meta-analysis was conducted to pool the results from the present study with results from two similar previously published studies.

Results: Based on SLOSH data, job strain was associated with an almost 50% increased risk of atrial fibrillation (hazard ratio 1.48, 95% CI 1.00-2.18) after adjustment for age, sex and education. Further adjustment for smoking, physical activity, body mass index and hypertension did not alter the estimated risk. The meta-analysis of the present and two previously published studies showed a consistent pattern, with job strain being associated with increased risk of atrial fibrillation in all three studies. The estimated pooled hazard ratio was 1.37 (95% CI 1.13-1.67).

Conclusion: The results highlight that occupational exposures, such as work stress, may be important risk factors for incident atrial fibrillation.

Background Obesity increases the risk of several chronic diseases, but the extent to which the obesity-related loss of disease-free years varies by lifestyle category and across socioeconomic groups is unclear. We estimated the number of years free from major non-communicable diseases in adults who are overweight and obese, compared with those who are normal weight.

Methods We pooled individual-level data on body-mass index (BMI) and non-communicable diseases from men and women with no initial evidence of these diseases in European cohort studies from the Individual-Participant-Data Meta-Analysis in Working Populations consortium. BMI was assessed at baseline (1991-2008) and non-communicable diseases (incident type 2 diabetes, coronary heart disease, stroke, cancer, asthma, and chronic obstructive pulmonary disease) were ascertained via linkage to records from national health registries, repeated medical examinations, or self-report. Disease-free years from age 40 years to 75 years associated with underweight (BMI <18.5 kg/m(2)), overweight (>= 25 kg/m(2) to <30 kg/m(2)), and obesity (class I [mild] >= 30 kg/m(2) to < 35 kg/m(2); class II-III [severe] >= 35 kg/m(2)) compared with normal weight (>= 18.5 kg/m(2) to <25 kg/m(2)) were estimated.

Findings Of 137 503 participants from ten studies, we excluded 6973 owing to missing data and 10 349 with prevalent disease at baseline, resulting in an analytic sample of 120 181 participants. Of 47 127 men, 211 (0.4%) were underweight, 21 468 (45.6%) normal weight, 20 738 (44.0%) overweight, 3982 (8.4%) class I obese, and 728 (1.5%) class II-III obese. The corresponding numbers among the 73 054 women were 1493 (2.0%), 44 760 (61.3%), 19 553 (26.8%), 5670 (7.8%), and 1578 (2.2%), respectively. During 1 328 873 person-years at risk (mean follow-up 11.5 years [range 6.3-18.6]), 8159 men and 8100 women developed at least one non-communicable disease. Between 40 years and 75 years, the estimated number of disease-free years was 29.3 (95% CI 28.8-29.8) in normal-weight men and 29.4 (28.7-30.0) in normal-weight women. Compared with normal weight, the loss of disease-free years in men was 1.8 (95% CI -1.3 to 4.9) for underweight, 1.1 (0.7 to 1.5) for overweight, 3.9 (2.9 to 4.9) for class I obese, and 8.5 (7.1 to 9.8) for class II-III obese. The corresponding estimates for women were 0.0 (-1.4 to 1.4) for underweight, 1.1 (0.6 to 1.5) for overweight, 2.7 (1.5 to 3.9) for class I obese, and 7.3 (6.1 to 8.6) for class II-III obese. The loss of disease-free years associated with class II-III obesity varied between 7.1 and 10.0 years in subgroups of participants of different socioeconomic level, physical activity level, and smoking habit.

Interpretation Mild obesity was associated with the loss of one in ten, and severe obesity the loss of one in four potential disease-free years during middle and later adulthood. This increasing loss of disease-free years as obesity becomes more severe occurred in both sexes, among smokers and non-smokers, the physically active and inactive, and across the socioeconomic hierarchy.