The overall fractions of coronary heart diseases and depression attributable to multiple dependent psychosocial work factors in Europe.

OBJECTIVES: The literature is nonexistent on the assessment of overall fractions of diseases attributable to multiple dependent psychosocial work factors. The objectives of the study were to calculate the overall fractions of coronary heart diseases (CHD) and depression attributable to multiple dependent psychosocial work factors in 35 European countries. METHODS: We used already published fractions of CHD and depression attributable to each of the following psychosocial work factors: job strain, effort-reward imbalance, job insecurity, long working hours, and workplace bullying. We took all exposures and their correlations into account to calculate overall attributable fractions. Wald tests were performed to test differences in these overall attributable fractions between genders and between countries. RESULTS: The overall fractions of CHD and depression attributable to all studied psychosocial work factors together were found to be 8.1% [95% CI: 2.0-13.9] and 26.3% [95% CI: 16.2-35.5] respectively in the 35 European countries. There was no difference between genders and between countries. CONCLUSION: Our study showed that the overall fractions attributable to all studied psychosocial work factors were substantial especially for depression. These overall attributable fractions may be particularly useful to evaluate the burden and costs attributable to psychosocial work factors, and also to inform policies makers at European level.

Multiple psychosocial work exposures and well-being among employees: prospective associations from the French national Working Conditions Survey.

Aims: Working conditions, especially psychosocial work factors (PWFs), are thought to influence mental health outcomes among working populations, but there have been few studies on well-being per se. We assessed the prospective associations between a wide variety of occupational factors, including PWFs, multiple exposure to these factors, and well-being among employees in France. Methods: This study was based on a nationally representative sample of 15,776 employees, including 6595 men and 9181 women, followed up from 2013 to 2016. Psychological well-being was assessed using the WHO-5 Well-Being Index. Occupational factors included 20 PWFs, 4 factors related to working time/hours, and 4 physical work exposures. The associations of occupational exposures with poor well-being were estimated using weighted robust Poisson regression models in men and women separately. Results: Among the employees who rated their well-being as good in 2013, 10.3% of men and 16.8% of women had a poor well-being 3 years later. Most PWFs in 2013 were associated with poor well-being in 2016 among women, and half of them among men. An increase in the risk of poor well-being with the number of PWFs was found. Noise exposure was associated with poor well-being in women. Conclusions: The occupational factors associated with psychological well-being were mainly those related to the psychosocial work environment. A linear association was observed between the number of exposures to PWFs and well-being. Preventive policies focused on PWFs may be beneficial for well-being. More attention should be given to multiple exposures to these factors.

Update of the fractions of cardiovascular diseases and mental disorders attributable to psychosocial work factors in Europe.

OBJECTIVES: The objectives of this study were to provide the fractions of cardiovascular diseases and mental disorders attributable to five psychosocial work exposures, i.e. job strain, effort-reward imbalance, job insecurity, long working hours, and bullying in Europe (35 countries, including 28 European Union countries), for each one and all countries together, in 2015. METHODS: The prevalences of exposure were estimated using the sample of 35,571 employees from the 2015 European Working Conditions Survey (EWCS) for all countries together and each country separately. Relative risks (RR) were obtained via literature reviews and meta-analyses already published. The studied outcomes were: coronary/ischemic heart diseases (CHD), stroke, atrial fibrillation, peripheral artery disease, venous thromboembolism, and depression. Attributable fractions (AF) for each exposure and overall AFs for all exposures together were calculated. RESULTS: The AFs of depression were all significant: job strain (17%), job insecurity (9%), bullying (7%), and effort-reward imbalance (6%). Most of the AFs of cardiovascular diseases were significant and lower than 11%. Differences in AFs were observed between countries for depression and for long working hours. Differences between genders were found for long working hours, with higher AFs observed among men than among women for all outcomes. Overall AFs taking all exposures into account ranged between 17 and 35% for depression and between 5 and 11% for CHD. CONCLUSION: The overall burden of depression and cardiovascular diseases attributable to psychosocial work exposures was noticeable. As these exposures are modifiable, preventive policies may be useful to reduce the burden of disease associated with the psychosocial work environment.

Burden of cardiovascular diseases and depression attributable to psychosocial work exposures in 28 European countries.

BACKGROUND: This study aimed to estimate the annual burden of cardiovascular diseases and depression attributable to five psychosocial work exposures in 28 European Union countries (EU28) in 2015. METHODS: Based on available attributable fraction estimates, the study covered five exposures, job strain, effort-reward imbalance, job insecurity, long working hours and workplace bullying; and five outcomes, coronary/ischemic heart diseases (CHD), stroke, atrial fibrillation, peripheral artery disease and depression. We estimated the burden attributable to each exposure separately and all exposures together. We calculated Disability-Adjusted Life Years (DALY) rate per 100 000 workers in each country for each outcome attributable to each exposure and tested the differences between countries and between genders using the Wald test. RESULTS: The overall burden of CHD attributable to the five studied psychosocial work exposures together was estimated at 173 629 DALYs for men and 39 238 for women, 5092 deaths for men and 1098 for women in EU28 in 2015. The overall burden of depression was estimated at 528 549 DALYs for men and 344 151 for women (respectively 7862 and 1823 deaths). The three highest burdens in DALYs in EU28 in 2015 were found for depression attributable to job strain (546 502 DALYs), job insecurity (294 680 DALYs) and workplace bullying (276 337 DALYs). Significant differences between countries were observed for DALY rates per 100 000 workers. CONCLUSIONS: Such results are necessary as decision tools for decision-makers (governments, employers and trade unions) when defining public health priorities and work stress preventive strategies in Europe.

Psychosocial Work Factors of the Job Strain Model and All-Cause Mortality: The STRESSJEM Prospective Cohort Study.

OBJECTIVE: The objectives were to examine the prospective associations between psychosocial work factors of the job strain model and all-cause mortality in a national representative cohort of French employees using various measures of time-varying exposure. METHODS: The study was based on a sample of 798,547 men and 697,785 women for which data on job history from 1976 to 2002 were linked to mortality data from the national death registry. Psychosocial work factors from the validated job strain model questionnaire were imputed using a job-exposure matrix. Three time-varying measures of exposure were explored: current, cumulative, and recency-weighted cumulative exposure. Cox proportional hazards models were performed to study the associations between psychosocial work factors and mortality. RESULTS: Within the 1976-2002 period, 88,521 deaths occurred among men and 28,921 among women. Low decision latitude, low social support, job strain, isostrain, high strain, and passive job were found to be risk factors for mortality. The model using current exposure was the best relative-quality model. The associations of current exposure to job strain and mortality were found to have hazard ratios of 1.30 (95% confidence interval [CI] = 1.24-1.36) among men and 1.15 (95% CI = 1.06-1.25) among women. The population fractions of mortality attributable to job strain were 5.64% (95% CI = 4.56%-6.71%) among men and 4.13% (95% CI = 1.69%-6.71%) among women. CONCLUSIONS: This study supports the role of the psychosocial work factors of the job strain model on all-cause mortality. Preventive intervention to improve the psychosocial work environment may help to prevent mortality in working populations.

Associations between multiple occupational exposures and sleep problems: Results from the national French Working Conditions survey.

Studies evaluating the effects of multiple occupational exposures on sleep are very rare. We assessed the associations between a wide range of occupational exposures and sleep problems and investigated the cumulative effects of these exposures on this outcome. We used data from the French 2016 Working Conditions survey conducted on a nationally representative sample of workers, including 20,430 employees aged 15-65 yr (8,579 men, 11,851 women). Sleep problems were defined by either sleep disturbances or sleep medication, almost daily or several times a week. Occupational exposures included 21 psychosocial work factors grouped into five dimensions, four factors related to working time/hours and four factors related to the physical work environment. Unadjusted and adjusted weighted robust Poisson regression analyses were performed. Almost all psychosocial work exposures were associated with sleep problems, whereas the only significant working time/hours factor associated with sleep problems was night work among women. Some gender differences in the exposure-outcome associations were found. The prevalence ratio of sleep problems increased with the number of exposures for most dimensions of psychosocial work factors. Physical work exposures were associated with sleep problems, and there was a linear association between the number of these occupational exposures and sleep problems in both genders, although the trend did not reach statistical significance among women. Workplace preventive strategies targeting the work environment comprehensively may be effective in improving sleep among working populations. More attention should be given to multiple exposures in the workplace.

Psychosocial factors at work from the job strain model and preventable mortality in France: The STRESSJEM prospective study.

The study aimed to explore the prospective associations between psychosocial factors at work from the job strain model and preventable mortality, including smoking- and alcohol-related mortality as well as external causes of death. The study was based on prospective data and relied on a sample of 1,511,456 individuals for which data on job history, mortality and causes of death were linked over the 1976-2002 period. Exposures were the factors from the job strain model imputed through a job-exposure matrix. Various time-varying measures of exposure were used including current exposure and two measures of cumulative exposure. Preventable mortality was defined using the OECD/Eurostat list of preventable causes of death. The associations between exposures and outcomes were studied using Cox proportional hazards models. Effect modification by gender was also assessed. Over the study period, 57,264 preventable deaths occurred before the age of 75 years. Low decision latitude, low social support, job strain, iso-strain, passive job, and high strain were associated with preventable mortality, and associations of stronger magnitude were found for job strain and isostrain among men. Stronger associations were observed for alcohol-related mortality than for smoking-related mortality and external causes of death. The fractions of preventable mortality attributable to current exposure to job strain and isostrain were significant among men only (5.1% and 3.3%). Psychosocial factors at work from the job strain model may play a role on preventable mortality. Intensifying research and prevention towards the psychosocial work environment may be helpful to reduce risky health-related behaviours and related mortality.

Associations of multiple occupational exposures with major depressive and generalized anxiety disorders: Findings from the French National Working Conditions Survey.

BACKGROUND: There have been numerous studies on the associations between psychosocial work factors and mental health, but very few of them explored the cumulative effects of these factors. The objectives were to study the associations between multiple occupational exposures and two common mental disorders, major depressive episode (MDE) and generalized anxiety disorder (GAD), among employees in France. METHODS: The data came from the 2016 French National Working Conditions Survey based on a representative sample of 20,430 employees (8579 men and 11,851 women) aged 15-65 years. MDE and GAD were assessed using the MINI (Mini International Neuropsychiatric Interview) standardized diagnostic interview. Occupational exposures included 21 psychosocial work factors grouped into five dimensions, four factors related to working time/hours, and four physical work exposures. Logistic regression modeling for weighted data was performed to evaluate the associations of occupational exposures with MDE and GAD in men and women separately. RESULTS: The prevalence of MDE and GAD was higher among women (8.6% and 8.7%, respectively) than among men (4.3% and 4.6%). Most psychosocial work factors were associated with MDE and/or GAD. A linear increase in the risk of MDE/GAD with the number of psychosocial work factors was found for each dimension, except workplace violence. The risk of MDE also increased linearly with multiple physical work exposures. CONCLUSIONS: Our results showed that a wide variety of occupational exposures were associated with clinical depression and anxiety, and that the risk of disease increased with multiple exposures to psychosocial and physical factors at work.

Psychosocial work exposures and suicide ideation: a study of multiple exposures using the French national working conditions survey.

BACKGROUND: Our study aimed to explore the associations between psychosocial work exposures, as well as other occupational exposures, and suicide ideation in the French national working population. An additional objective was to study the cumulative role of occupational exposures in this outcome. METHODS: The study was based on a nationally representative sample of the French working population of 20,430 employees, 8579 men and 11,851 women (2016 French national Working Conditions survey). Occupational exposures included 21 psychosocial work factors, 4 factors related to working time/hours and 4 factors related to the physical work environment. Suicide ideation within the last 12 months was the outcome. The associations between exposures and outcome were studied using weighted logistic regression models adjusted for covariates. RESULTS: The 12-month prevalence of suicide ideation was 5.2% among men and 5.7% among women. Among the occupational exposures, psychosocial work factors were found to be associated with suicide ideation: quantitative and cognitive demands, low influence and possibilities for development, low meaning at work, low sense of community, role conflict, job insecurity, temporary employment, changes at work, and internal violence. Some rare differences in these associations were observed between genders. Linear associations were observed between the number of psychosocial work exposures and suicide ideation. CONCLUSIONS: Psychosocial work factors were found to play a major role in suicide ideation, and their effects were cumulative on this outcome. More research on multiple and cumulative exposures and suicide ideation and more prevention towards the psychosocial work environment are needed.

Correction to: Fractions of cardiovascular diseases and mental disorders attributable to psychosocial work factors in 31 countries in Europe.

Whilst working on an update of our study published in 2014 (orginal article), we have discovered an error in the measure of effort-reward imbalance (ERI) in this study, leading to errors in Table 3 for (1) the prevalence of exposure to ERI, and (2) the fractions of cardiovascular diseases and mental disorders attributable to ERI, attributable fractions (AF) being calculated from exposure prevalence and relative risk.

Méthodologie de redressement des données nationales de l'enquête Évrest.

OBJECTIVES: The main objective was to describe the weighting methodology used for the national EVREST (Evolution and Relations in Health at Work) survey data. The secondary objectives were on the one hand to assess the extent of the differences between crude and weighted estimates, on the other hand to verify that the two-year gap in the availability of the reference data used does substantially not impact the estimates. METHODS: The study was based on data collected in 2013 and 2014 (N = 26,227). The weighting included 2 steps: 1) a first weighing to take into account the probability of participation of each employee; and 2) a calibration on margins to correct the potential distortions of the sample in comparison with the scope of the survey, the reference data used coming from the annual declarations of social data (DADS) of the years 2014 and 2012. The impact of the weighting method was studied using the differences between crude and weighted percentages for the 60 variables of the questionnaire. RESULTS: 90% of the differences between crude and weighted estimates were between - 2.0% and + 2.0% using the 2014 DADS, and 83% using the 2012 DADS. The most overestimated crude estimate concerned full-time work and the most underestimated was contact with the public. The impact of the two-year gap in the availability of the reference data used was weak. CONCLUSION: A weighting methodology for EVREST survey was define and implement, allowing results to be extrapolated to the scope of the survey.

Employment and occupational outcomes following adolescent-onset mental illness: analysis of a nationally representative French cohort.

BACKGROUND: There has been little work into the relative effects of adolescent-onset, as compared to lifetime, mental illness on employment, income and occupational outcomes in adulthood. METHODS: Using data from the Santé et Itinéraire Professionnel Survey, a nationally representative survey of 13 648 French working-age people to investigate prospective associations between self-reported mental illness and employment, income and occupational outcomes. We further investigated whether these outcomes would differ for those reporting an onset of mental illness prior to 18 years of age. RESULTS: Adolescent-onset mental illness was associated with poorer employment outcomes, significantly increased risk of employment in low-skilled occupations, as well as reduced monthly wage earnings. CONCLUSIONS: Results extend understandings of the risks of adolescent-onset mental illness on employment and occupational outcomes and suggest that vocational recovery services should take these factors into account when designing support services for adolescents with mental health problems, particularly for males.

Associations between occupational factors and self-rated health in the national Brazilian working population.

BACKGROUND: The literature remains seldom on the topic of self-rated health (SRH) among the national working populations of emerging countries. The objectives of the study were to examine the associations of occupational factors with SRH in a national representative sample of the working population in Brazil. METHODS: This study relied on a cross-sectional sample of 36,442 workers, 16,992 women and 19,450 men. SRH was the studied health outcome. Sixteen occupational factors related to four topics were studied: employment characteristics, working time/hours, psychosocial work factors and physical and chemical work exposures. The associations between occupational factors and SRH were studied using logistic regression models with adjustment for sociodemographic characteristics (age, ethnicity and marital status). The analyses were performed for each gender separately and using weights. RESULTS: The prevalence of poor SRH was 26.71%, this prevalence being higher among women (29.77%) than among men (24.23%). The following risk factors for poor SRH were found among men and women: working as a self-employed worker, clerk/service worker, manual worker, part-time (≤ 20 h/week), exposure to work stress, exposure to high physical activity and exposure to sun. The risk factors for poor SRH among women only were: working as a domestic worker and exposure to noise, and among men, working in the agriculture sector. CONCLUSIONS: Our study suggested that occupational factors related to both physical and psychosocial work environment may be associated with SRH in the working population in Brazil. Improving working conditions may be beneficial for health at work in Brazil.

[Weighting methodology for the national EVREST survey data]. / Méthodologie de redressement des données nationales de l'enquête Évrest.

OBJECTIVES: The main objective was to describe the weighting methodology used for the national EVREST (Evolution and Relations in Health at Work) survey data. The secondary objectives were on the one hand to assess the extent of the differences between crude and weighted estimates, on the other hand to verify that the two-year gap in the availability of the reference data used does substantially not impact the estimates. METHODS: The study was based on data collected in 2013 and 2014 (N = 26,227). The weighting included 2 steps: 1) a first weighing to take into account the probability of participation of each employee; and 2) a calibration on margins to correct the potential distortions of the sample in comparison with the scope of the survey, the reference data used coming from the annual declarations of social data (DADS) of the years 2014 and 2012. The impact of the weighting method was studied using the differences between crude and weighted percentages for the 60 variables of the questionnaire. RESULTS: 90% of the differences between crude and weighted estimates were between - 2.0% and + 2.0% using the 2014 DADS, and 83% using the 2012 DADS. The most overestimated crude estimate concerned full-time work and the most underestimated was contact with the public. The impact of the two-year gap in the availability of the reference data used was weak. CONCLUSION: A weighting methodology for EVREST survey was define and implement, allowing results to be extrapolated to the scope of the survey.

Study of the validity of a job-exposure matrix for the job strain model factors: an update and a study of changes over time.

OBJECTIVES: The objectives of the study were to construct a job-exposure matrix (JEM) for psychosocial work factors of the job strain model, to evaluate its validity, and to compare the results over time. METHODS: The study was based on national representative data of the French working population with samples of 46,962 employees (2010 SUMER survey) and 24,486 employees (2003 SUMER survey). Psychosocial work factors included the job strain model factors (Job Content Questionnaire): psychological demands, decision latitude, social support, job strain and iso-strain. Job title was defined by three variables: occupation and economic activity coded using standard classifications, and company size. A JEM was constructed using a segmentation method (Classification and Regression Tree-CART) and cross-validation. RESULTS: The best quality JEM was found using occupation and company size for social support. For decision latitude and psychological demands, there was not much difference using occupation and company size with or without economic activity. The validity of the JEM estimates was higher for decision latitude, job strain and iso-strain, and lower for social support and psychological demands. Differential changes over time were observed for psychosocial work factors according to occupation, economic activity and company size. CONCLUSIONS: This study demonstrated that company size in addition to occupation may improve the validity of JEMs for psychosocial work factors. These matrices may be time-dependent and may need to be updated over time. More research is needed to assess the validity of JEMs given that these matrices may be able to provide exposure assessments to study a range of health outcomes.

Role of working conditions in the explanation of occupational inequalities in work injury: findings from the national French SUMER survey.

BACKGROUND: Social inequalities in work injury have been observed but explanations are still missing. The objectives of this study were to evaluate the contribution of working conditions in the explanation of social inequalities in work injury in a national representative sample of employees. METHODS: The study was based on the cross-sectional sample of the national French survey SUMER 2010 including 46,962 employees, 26,883 men and 20,079 women. The number of work injuries within the last 12 months was studied as the outcome. Occupation was used as a marker of social position. Psychosocial work factors included various variables related to the classical job strain model, psychological demands, decision latitude, social support, and other understudied variables related to reward, job insecurity, job promotion, esteem, working time and hours and workplace violence. Occupational exposures of chemical, biological, physical and biomechanical nature were also studied. Weighted age-adjusted Poisson regression analyses were performed. RESULTS: Occupational gradients were observed in the exposure of most psychosocial work factors and occupational exposures. Strong occupational differences in work injury were found, blue-collar workers being more likely to have work injury. Chemical, biological, physical and biomechanical exposures contributed to explain the occupational differences in work injury substantially. Noise, thermic constraints, manual materials handling, postural/articular constraints and vibrations had significant contributions. Psychosocial work factors also contributed to explain the differences especially among women. CONCLUSION: Prevention policies oriented toward chemical, biological, physical, biomechanical and psychosocial work exposures may contribute to reduce the magnitude of occupational differences in work injury.

Impact of lifetime compared to adolescent-onset mental illness on psychosocial employment quality in adulthood: analysis of a nationally representative French cohort.

PURPOSE: We investigated prospective associations between mental illness and psychosocial employment quality using a nationally representative sample of the French working population by gender, primary diagnosis, and age of onset. METHODS: 6234 employed French adults (aged 20-74 years) were followed from 2006 to 2010. All respondents provided data on 26 indicators of psychosocial employment quality drawn from the Job-Strain Model, other job stressors, and indicators of working time stressors (i.e., shift work, night work, and long working hours). RESULTS: We performed 272 statistical tests, of which 37 were significant following adjustment for age, poor socio-economic position during childhood, unemployment status at wave one, and anxiety or depression at wave two. Females with a lifetime diagnosis of any mental illness reported higher psychological and emotional demands at work, whilst males reported low decision latitude, tensions with the public, and work-life imbalance. In both genders a lifetime diagnosis of any mental illness was associated with role and ethical conflict. A lifetime diagnosis of major depression appeared to have stronger associations for females, whilst substance use disorder was associated with poorer psychosocial employment quality in males. Adolescent-onset mental illness might be associated with poorer psychosocial employment quality among men more so than among women. CONCLUSIONS: Results suggest that people with a history of mental illness who obtain employment tend to be employed in jobs characterized by poor psychosocial quality. Employment quality should be considered in vocational rehabilitation policies and practices aimed at optimizing employment participation in this population.

Low Control and High Demands at Work as Risk Factors for Suicide: An Australian National Population-Level Case-Control Study.

OBJECTIVE: Previous research suggests that psychosocial job stressors may be plausible risk factors for suicide. This study assessed the relationship between psychosocial job stressors and suicide mortality across the Australian population. METHODS: We developed a job exposure matrix to objectively measure job stressors across the working population. Suicide data came from a nationwide coronial register. Living controls were selected from a nationally representative cohort study. Incidence density sampling was used to ensure that controls were sampled at the time of death of each case. The period of observation for both cases and controls was 2001 to 2012. We used multilevel logistic regression to assess the odds of suicide in relation to 2 psychosocial job stressors (job control and job demands), after matching for age, sex, and year of death/survey and adjusting for socioeconomic status. RESULTS: Across 9,010 cases and 14,007 matched controls, our results suggest that low job control (odds ratio [OR], 1.35; 95% confidence interval [CI], 1.26-1.44; p < .001) and high job demands (OR, 1.36; 95% CI, 1.26-1.46; p < .001) were associated with increased odds of male suicide after adjusting for socioeconomic status. High demands were associated with lower odds of female suicide (OR, 0.81; 95% CI, 0.72-0.92; p = .002). CONCLUSIONS: It seems that adverse experiences at work are a risk factor for male suicide while not being associated with an elevated risk among females. Future studies on job stressors and suicide are needed, both to further understand the biobehavioral mechanisms explaining the link between job stress and suicide, and to inform targeted prevention initiatives.

Working conditions in the explanation of occupational inequalities in sickness absence in the French SUMER study.

Background: Explanations of social inequalities in sickness absence are lacking in the literature. Our objectives were to evaluate the contribution of various occupational exposures in explaining these inequalities in a national representative sample of employees. Methods: The study was based on the cross-sectional sample of the SUMER 2010 survey that included 46 962 employees, 26 883 men and 20 079 women. Both sickness absence spells and days within the last 12 months, as health indicators, were studied. Occupation was used as a marker of social position. The study included both psychosocial work factors (variables related to the classical job strain model, psychological demands, decision latitude, social support and understudied variables related to reward, job insecurity, job promotion, esteem, working time/hours and workplace violence) and occupational exposures of chemical, biological, physical and biomechanical nature. Weighted age-adjusted Poisson and negative binomial regression analyses were performed. Results: Strong occupational differences were found for sickness absence spells and days and for exposure to most work factors. Psychosocial work factors contributed to explain occupational differences in sickness absence spells, and the contributing factors were: decision latitude, social support, reward, shift work and workplace violence. Physical exposure, particularly noise, and biomechanical exposure were also found to be contributing factors. Almost no work factor was found to contribute to occupational differences in sickness absence days. Conclusion: Preventive measures at the workplace oriented towards low-skilled occupational groups and both psychosocial work factors and other occupational exposures may be beneficial to reduce sickness absence spells and occupational differences in this outcome.