Distance to sports facilities and low frequency of exercise and obesity: a cross-sectional study.

BACKGROUND: Little research has investigated the associations between proximity to physical activity facilities and behavior-related health and the majority have focused on proximity from home address. We add to the literature by examining proximity of these facilities to work and home address and including a wide range of physical activity facilities. We assess the associations for proximity of physical activity facilities from home and work address with self-reported frequency of exercise and obesity. METHODS: Our analytical sample of 7358 participants was from the 2018 wave of the Swedish Longitudinal Occupational Survey of Health. We used logistic binomial regression adjusting for age, sex, education, civil status, individual socioeconomic status, neighborhood socioeconomic status, number of children under 12 years of age, work strain, and chronic disease. RESULTS: Longer distance from home to paid outdoor and paid indoor physical activity facilities was associated with low frequency of exercise (fully adjusted Relative Risk for both 1.01, 95% CI 1.01-1.02). Associations of any or free outdoor facility with low frequency of exercise were not robust. Findings also indicated associations between long distance from workplace to any and paid outdoor facility and low frequency of exercise. Results for obesity were in the similar direction, however, these were not statistically significant. CONCLUSION: Increased distance of paid outdoor and paid indoor physical activity facilities from home and of paid outdoor facilities from work was associated with low frequency of exercise. Longitudinal and larger studies are needed to confirm our findings, particularly regarding obesity.

Sickness absence due to common mental disorders in young employees in Sweden: are there differences in occupational class and employment sector?

BACKGROUND: A large proportion of sickness absence (SA) in young adults is due to common mental disorders (CMDs). Still studies on CMD-related SA in young workers are lacking, especially studies for those employed in the private sector. The current study investigated the associations between sector of employment, occupational class and SA due to CMDs. In addition, associations between type of employment branch and SA due CMDs within each sector were examined. METHODS: This population-based longitudinal cohort study included 663,583 employees, 19-29 years, residing in Sweden in 2009. Employment sector (i.e., private/public) and occupational class (non-manual/manual workers) were measured in 2009. Risk estimates of SA due to CMDs, between 2010 and 2016, were calculated as Hazard Ratios (HR) with 95% confidence intervals (CI), using Cox regression analysis. RESULTS: Sector of employment was associated with SA due to CMDs, such that public sector workers had an elevated risk when compared with private sector employees (adjusted HR: 1.31 (95% CI 1.29-1.33). Moreover, manual workers had a slightly elevated risk for SA due to CMDs compared to non-manual workers. Within the private sector, in both manual and non-manual workers, those employed in education and health and social services evidenced the highest rates and risks of SA due to CMDs. CONCLUSION: Sector of employment and occupational class play a role in SA due to CMDs in young employees. These findings should be considered when identifying high-risk groups for SA in the young working population.

Contribution of income and job strain to the association between education and cardiovascular disease in 1.6 million Danish employees.

AIMS: We examined the extent to which associations between education and cardiovascular disease (CVD) morbidity and mortality are attributable to income and work stress. METHODS AND RESULTS: We included all employed Danish residents aged 30-59 years in 2000. Cardiovascular disease morbidity analyses included 1 638 270 individuals, free of cardiometabolic disease (CVD or diabetes). Mortality analyses included 41 944 individuals with cardiometabolic disease. We assessed education and income annually from population registers and work stress, defined as job strain, with a job-exposure matrix. Outcomes were ascertained until 2014 from health registers and risk was estimated using Cox regression. During 10 957 399 (men) and 10 776 516 person-years (women), we identified 51 585 and 24 075 incident CVD cases, respectively. For men with low education, risk of CVD was 1.62 [95% confidence interval (CI) 1.58-1.66] before and 1.46 (95% CI 1.42-1.50) after adjustment for income and job strain (25% reduction). In women, estimates were 1.66 (95% CI 1.61-1.72) and 1.53 (95% CI 1.47-1.58) (21% reduction). Of individuals with cardiometabolic disease, 1736 men (362 234 person-years) and 341 women (179 402 person-years) died from CVD. Education predicted CVD mortality in both sexes. Estimates were reduced with 54% (men) and 33% (women) after adjustment for income and job strain. CONCLUSION: Low education predicted incident CVD in initially healthy individuals and CVD mortality in individuals with prevalent cardiometabolic disease. In men with cardiometabolic disease, income and job strain explained half of the higher CVD mortality in the low education group. In healthy men and in women regardless of cardiometabolic disease, these factors explained 21-33% of the higher CVD morbidity and mortality.

Job strain and the risk of stroke: an individual-participant data meta-analysis.

BACKGROUND AND PURPOSE: Psychosocial stress at work has been proposed to be a risk factor for cardiovascular disease. However, its role as a risk factor for stroke is uncertain. METHODS: We conducted an individual-participant-data meta-analysis of 196 380 males and females from 14 European cohort studies to investigate the association between job strain, a measure of work-related stress, and incident stroke. RESULTS: In 1.8 million person-years at risk (mean follow-up 9.2 years), 2023 first-time stroke events were recorded. The age- and sex-adjusted hazard ratio for job strain relative to no job strain was 1.24 (95% confidence interval, 1.05;1.47) for ischemic stroke, 1.01 (95% confidence interval, 0.75;1.36) for hemorrhagic stroke, and 1.09 (95% confidence interval, 0.94;1.26) for overall stroke. The association with ischemic stroke was robust to further adjustment for socioeconomic status. CONCLUSION: Job strain may be associated with an increased risk of ischemic stroke, but further research is needed to determine whether interventions targeting job strain would reduce stroke risk beyond existing preventive strategies.

Does good leadership buffer effects of high emotional demands at work on risk of antidepressant treatment? A prospective study from two Nordic countries.

PURPOSE: Emotionally demanding work has been associated with increased risk of common mental disorders. Because emotional demands may not be preventable in certain occupations, the identification of workplace factors that can modify this association is vital. This article examines whether effects of emotional demands on antidepressant treatment, as an indicator of common mental disorders, are buffered by good leadership. METHODS: We used data from two nationally representative work environment studies, the Danish Work Environment Cohort Study (n = 6,096) and the Swedish Longitudinal Occupational Survey of Health (n = 3,411), which were merged with national registers on antidepressant purchases. All individuals with poor self-reported baseline mental health or antidepressant purchases within 8.7 months before baseline were excluded, and data analysed prospectively. Using Cox regression, we examined hazard ratios (HRs) for antidepressants in relation to the joint effects of emotional demands and leadership quality. Buffering was assessed with Rothman's synergy index. Cohort-specific risk estimates were pooled by random effects meta-analysis. RESULTS: High emotional demands at work were associated with antidepressant treatment whether quality of leadership was poor (HR = 1.84, 95 % CI 1.32-2.57) or good (HR = 1.70, 95 % CI 1.25-2.31). The synergy index was 0.66 (95 % CI 0.34-1.28). CONCLUSIONS: Our findings suggest that good leadership does not substantially ameliorate any effects of emotional demands at work on employee mental health. Further research is needed to identify possible preventive measures for this work environment exposure.

Does job promotion affect men's and women's health differently? Dynamic panel models with fixed effects.

Background: Higher occupational status has consistently been shown to be associated with better health, but few studies have to date examined if an upward change in occupational status is associated with a positive change in health. Furthermore, very little is known about whether this association differs by sex. Methods: Data were derived from four waves (2008-14) of the Swedish Longitudinal Occupational Survey of Health (SLOSH), a follow-up study of a nationally representative sample of the Swedish working population. The present study comprises 1410 men and 1926 women. A dynamic panel model with fixed effects was used to analyse the lagged association between job promotion on the one hand and self-rated health (SRH) and symptoms of depression on the other. This method allowed controlling for unobserved time-invariant confounders and determining the direction of causality between the variables. Multigroup comparisons were performed to investigate differences between the sexes. Results: The results showed that job promotion was associated with decreased subsequent SRH and increased symptoms of depression among both men and women. Women reported a larger relative worsening of self-rated health following a job promotion than men and men reported a larger relative worsening of depression symptoms. There was limited evidence that SRH and symptoms of depression were associated with subsequent job promotion. Conclusions: The present study indicates that a job promotion could lead to decreased SRH and increased symptoms of depression in a 2-4-year perspective. Associations appear to differ for women and men.

Organizational downsizing and depressive symptoms in the European recession: the experience of workers in France, Hungary, Sweden and the United kingdom.

BACKGROUND: Organizational downsizing has become highly common during the global recession of the late 2000s with severe repercussions on employment. We examine whether the severity of the downsizing process is associated with a greater likelihood of depressive symptoms among displaced workers, internally redeployed workers and lay-off survivors. METHODS: A cross-sectional survey involving telephone interviews was carried out in France, Hungary, Sweden and the United Kingdom. The study analyzes data from 758 workers affected by medium- and large-scale downsizing, using multiple logistic regression. MAIN RESULTS: Both unemployment and surviving layoffs were significantly associated with depressive symptoms, as compared to reemployment, but the perceived procedural justice of a socially responsible downsizing process considerably mitigated the odds of symptoms. Perception of high versus low justice was assessed along several downsizing dimensions. In the overall sample, chances to have depressive symptoms were significantly reduced if respondents perceived the process as transparent and understandable, fair and unbiased, well planned and democratic; if they trusted the employer's veracity and agreed with the necessity for downsizing. The burden of symptoms was significantly greater if the process was perceived to be chaotic. We further tested whether perceived justice differently affects the likelihood of depressive symptoms among distinct groups of workers. Findings were that the odds of symptoms largely followed the same patterns of effects across all groups of workers. Redeploying and supporting surplus employees through the career change process-rather than forcing them to become unemployed-makes a substantial difference as to whether they will suffer from depressive symptoms. CONCLUSIONS: While depressive symptoms affect both unemployed and survivors, a just and socially responsible downsizing process is important for the emotional health of workers.

Cross-lagged relationships between workplace demands, control, support, and sleep problems.

STUDY OBJECTIVES: Sleep problems are experienced by a large part of the population. Work characteristics are potential determinants, but limited longitudinal evidence is available to date, and reverse causation is a plausible alternative. This study examines longitudinal, bidirectional relationships between work characteristics and sleep problems. DESIGN: Prospective cohort/two-wave panel. SETTING: Sweden. PARTICIPANTS: 3065 working men and women approximately representative of the Swedish workforce who responded to the 2006 and 2008 waves of the Swedish Longitudinal Occupational Survey of Health (SLOSH). INTERVENTIONS: N/A. MEASUREMENTS AND RESULTS: Bidirectional relationships between, on the one hand, workplace demands, decision authority, and support, and, on the other hand, sleep disturbances (reflecting lack of sleep continuity) and awakening problems (reflecting feelings of being insufficiently restored), were investigated by structural equation modeling. All factors were modeled as latent variables and adjusted for gender, age, marital status, education, alcohol consumption, and job change. Concerning sleep disturbances, the best fitting models were the "forward" causal model for demands and the "reverse" causal model for support. Regarding awakening problems, reciprocal models fitted the data best. CONCLUSIONS: Cross-lagged analyses indicates a weak relationship between demands at Time 1 and sleep disturbances at Time 2, a "reverse" relationship from support T1 to sleep disturbances T2, and bidirectional associations between work characteristics and awakening problems. In contrast to an earlier study on demands, control, sleep quality, and fatigue, this study suggests reverse and reciprocal in addition to the commonly hypothesized causal relationships between work characteristics and sleep problems based on a 2-year time lag.