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Aims: Patient characteristics and treatment setting are potential predictors of premature dropout from lifestyle interventions, but their relative importance is unknown.

Methods: From the quality registry of the unit for behavioral medicine, Umeå University hospital, we identified 2589 patients who had been enrolled in a multimodal lifestyle intervention for cardiometabolic risk reduction between 2006 and 2015. Baseline characteristics predicting dropout before 1-year follow-up were selected by a stepwise logistic regression algorithm.

Results: Better physical health and older age predicted full participation, with odds ratios for premature dropout (ORs) of.44 (95% confidence interval (CI).31-.63), and.47 (95% CI.34-.65) in the highest compared to the lowest quartile, respectively. Odds of premature dropout were also lower among female participants,.71 (95% CI.58-.89). Premature dropout was predicted by higher BMI, snuffing tobacco, and smoking, with ORs of 1.53 (95% CI 1.13-2.08) in the highest compared to the lowest quartile of BMI, 1.37 (95% CI 1.03-1.81) comparing snuff user with non-users and 2.53 (95% CI 1.79-3.61) comparing smokers with non-smokers. Odds ratio for premature dropout among inpatients compared with outpatients was.84 (95% CI.68-1.04).

Conclusion: Higher risk at baseline predicts premature dropout.

Introduction: The behaviour change technique taxonomy version 1 was developed to identify the smallest active ingredients of a lifestyle intervention, that is, behaviour change techniques (BCTs) based on a written description. By participation and direct observation of an intervention, we intend to not only identify BCTs but also assess exposure time for each BCT. Adding the dimension of exposure time should enable us to make quantitative comparisons between the different BCTs employed. We intend to demonstrate this by studying the hypotheses that exposure to information-related BCTs is similar for all targeted lifestyle modalities but decreases in the course of the intervention.

Methods: During 5-week intensive multimodal lifestyle interventions at a Swedish clinic for lifestyle medicine, we identified BCTs according to behaviour change technique taxonomy version 1 and noted exposure times to BCTs in all mandatory parts of the behaviour change intervention.

Results: Two hundred thirty-one independent intervention components were evaluated. BCTs 8.1 Behavioural practice/rehearsal (126 h), 4.1 Instruction on how to perform the behaviour (98 h) and 6.1 Demonstration of the behaviour (65 h) were the most common in terms of exposure time. Relative exposure to BCTs with an informative nature was similar for the different treatment phases (33%−37%−28%; p = 0.09) but higher for physical activity compared to food habits, stress management and unspecific lifestyle medicine (63%−25%−22%−25%; p < 0.001).

Conclusions: The behaviour change technique taxonomy version 1 can be extended by adding exposure time for different BCTs. The resulting BCT–exposure profile can be used for assessing the relative importance of different behaviour change strategies.

OBJECTIVE: To assess a possible interaction effect between physical activity and air pollution on first incidence of ischaemic heart disease (IHD).

DESIGN: Prospective cohort study.

SETTING: Umeå, Northern Sweden.

PARTICIPANTS: We studied 34 748 adult participants of Västerbotten Intervention Programme cohort from 1990 to January 2014. Annual particulate matter concentrations (PM_2.5 and PM₁₀) at the participants' residential addresses were modelled and a questionnaire on frequency of exercise and active commuting was completed at baseline. Cox proportional hazards modelling was used to estimate (1) association with physical activity at different levels of air pollution and (2) the association with particulate matter at different levels of physical activity.

OUTCOME: First incidence of IHD.

RESULTS: Over a mean follow-up of 12.4 years, there were 1148 IHD cases. Overall, we observed an increased risk of IHD among individuals with higher concentrations of particles at their home address. Exercise at least twice a week was associated with a lower risk of IHD among participants with high residential PM_2.5 (hazard ratio (HR) 0.60; 95% CI: 0.44 to 0.82) and PM₁₀ (HR 0.55; 95% CI: 0.4 to 0.76). The same beneficial effect was not observed with low residential PM_2.5 (HR 0.94; 95% CI: 0.72 to 1.22) and PM₁₀ (HR 0.99; 95% CI: 0.76 to 1.29). An increased risk associated with higher long-term exposure to particles was only observed among participants that exercised in training clothes at most one a week and among those not performing any active commuting. However, only the interaction effect on HRs for exercise was statistically significant.

CONCLUSION: Exercise was associated with a lower risk of first incidence of IHD among individuals with higher residential particle concentrations. An air pollution-associated risk was only observed among those who exercised less. The findings support the promotion of physical activity and a mitigation of air pollution.

Low priority of disease prevention and health promotion in medical education may contribute to lack of lifestyle-counseling in clinical practice. Pharmacology-related knowledge is valued 5 times higher compared to lifestyle-related knowledge in examinations on noncommunicable diseases (NCDs) in undergraduate medical education in Sweden. This study aims to establish (i) whether medical licensing examinations are biased to favor pharmacology- over lifestyle-related knowledge and (ii) whether such a bias is present in both Sweden and the US.

We identified 204 NCD-related questions from previous Swedish licensing examinations, and 77 cases from a U.S. question bank commonly used to prepare for the United States Medical Licensing Examination® (USMLE®) Step 3. With the help of expected correct answers, we determined distribution of points attainable for knowledge in the respective category (lifestyle / pharmacology / other) for 5 major NCDs: coronary heart disease (CHD), chronic obstructive pulmonary disease (COPD), diabetes, hypertension, and stroke.

The percentage of points attainable for lifestyle-related knowledge was 6.7 (95% CI 4.1–9.3) in Sweden and 4.6 (95%CI 0.0–9.1) in the U.S. The respective percentages for pharmacology-related knowledge were 32.6 (95% CI 26.3–38.8) and 44.5 (95% CI 33.2–55.8) percent. The pharmacology vs. lifestyle-quotas were 4.9 in Sweden and 9.8 in the U.S. Likelihoods of equal emphasis on lifestyle and pharmacology in NCDs was < 0.001 in both countries.

There is a marked preference for pharmacology over lifestyle in medical licensing examinations in both Sweden and the U.S. Newly qualified doctors may be inadequately prepared to address preventable causes of NCDs.

Introduction: A protective role of leisure time physical activity with regard to non-communicable chronic diseases (NCDs) is well established. However, shapes of dose-response relationships and the extent of BMI mediation between physical activity and disease risk are not well known. Furthermore, the knowledge about risk reductions from active commuting is limited. Methods: Meta-analyses of prospective cohort studies published from January 1990 to June 2019 were conducted, 1) to assess the effect of leisure time and commuting physical activity on cardiovascular disease (CVD), type 2 diabetes, breast cancer and colon cancer, and 2) to quantify the extent to which adjustment for BMI affect these relations. Results: Random effect meta-analyses of 59 prospective cohort studies estimated that individuals who engaged in 11.25 MET-hours/week of active commuting had a decreased risk of myocardial infarction (MI) by 18% (95% CI: 1-33%) and type 2 diabetes by 22% (95% CI: 4-37%) compared with non-commuters. Corresponding risk reductions for leisure-time physical activity (LTPA) were 22% for MI, 26% for CVD, 27% for heart failure, 23% for stroke, 22% for type 2 diabetes, 15% for colon cancer and 7% for breast cancer. Except for breast cancer, adjustment for BMI reduced the benefit of physical activity. Conclusion: Both active commuting and LTPA are associated with lower risk for NCD. Currently, available data is insufficient to establish detail and reliable dose-response curves.

Lifestyle medicine (LM) is part of official educational goals in Swedish medical schools. We studied questions concerning 5 noncommunicable diseases: diabetes, hypertension, coronary heart disease (CHD), chronic obstructive pulmonary disease (COPD), and stroke from 124 written examinations conducted between 2012 and 2015. LM knowledge yielded between 2% and 10%, whereas pharmacology-related knowledge yielded between 24% and 50%, of total points. The multiples at which pharmacology-related knowledge was valued higher than LM knowledge were 2.4 for COPD (P < .056), 4.3 for diabetes (P < .0001), 4.8 for hypertension (P < .0001), 5.2 for CHD (P < .0001), and 31.5 for stroke (P < .0001). Our results indicate that lifestyle-related knowledge, though covered by official teaching goals, is currently underrated in Swedish medical education.

Lifestyle factors are crucial for prevention and management of many non-communicable diseases such as hypertension, stroke, diabetes, coronary heart disease and chronic obstructive pulmonary disease. Lifestyle medicine is included in national learning outcomes for undergraduate medical education in Sweden. Since assessment drives learning, we reviewed questions from 124 written examinations from all 7 medical schools in Sweden, conducted between 2012 and 2015. There is up to a 5-fold difference between different universities in the weight attached to lifestyle-related knowledge compared to knowledge related to pharmacological treatments.