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Introduction: This study aimed to determine the prevalence of Dupuytren's disease in men and its relationship with work exposure, particularly heavy manual work with and without significant use of vibrating tools, using data from a surveillance program for musculoskeletal disorders.Method: This cross-sectional study was conducted in France between 2002 and 2005. Dupuytren's disease was diagnosed clinically by one of 83 occupational physicians. Exposure in relation to work status and occupational risk factors was assessed with a self-administered questionnaire, and categorised according to vibration exposure (defined as use of vibrating tools for ≥2 h/day), heavy manual work without vibration exposure (defined as use of hand tools for ≥2 h/day (use of vibrating tools for ≥2 h/day excluded) and Borg scale ≥15/20) and no such exposure. Bivariate and multivariate associations using logistic models were recorded in men and in those with >10 years in the same job.Results: Of 2161 men, 1.3% (n=27) had Dupuytren's disease (mean age 47.1±6.7 years). Heavy manual work without vibration exposure was significantly associated with the condition (adjusted OR (aOR) 3.9; 95% CI 1.3 to 11.5) adjusted on age and diabetes), as was use of vibrating tools (aOR 5.1; 2.1 to 12.2). These associations remained significant among subjects with >10 years in the same job, with increases in aOR of 6.1 (1.5 to 25.0) and 10.7 (3.4 to 34.6), respectively.Conclusion: Despite the limited number of cases, occupational exposure, including both vibration exposure and heavy manual work without significant vibration exposure, was associated with Dupuytren's disease. [ABSTRACT FROM AUTHOR]

Youths whose parents smoke tobacco may be at elevated risk of smoking themselves. However, the association between parental long-term smoking history and offspring regular tobacco use is not well known. Using data collected on 1121 youths (12-26 years) participating in the GAZEL Youth study, a French community-based cohort, we tested the association between parental long-term smoking trajectory and offspring regular smoking. Parental smoking trajectory over 11 years (1989-1999) was measured by yearly reports obtained from the parent. Statistical analyses controlled for youth's sex, age, alcohol use and disruptive behavioral problems, parent's sex, as well as family socioeconomic position. Overall, 27% of study youths smoked regularly. Compared to offspring of non-smokers, those of persistent smokers had twofold smoking rates (age and sex-adjusted OR: 1.91, 95% CI: 1.30-2.79, fully-adjusted OR: 1.96, 95% CI: 1.31-2.93). Additionally, persistent parental smoking predicted offspring heavy smoking and early smoking initiation. Overall, maternal smoking was more strongly associated with youths' regular smoking than paternal smoking (fully-adjusted ORs: 3.12, 95% 1.58-6.16 vs. 1.47, 95% 0.87-2.49). These results suggest that efforts to decrease the burden of tobacco smoking among youths may be more efficient if focused on families rather than on individuals. [ABSTRACT FROM AUTHOR]

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., (© 2024. The Author(s).)

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., (© The Author(s) 2022. Published by Oxford University Press on behalf of the European Public Health Association.)

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.

The literature remains sparse and inconclusive about the impact of shift and night work on mortality, and still more on specific causes of death. The objectives were to explore the prospective associations between exposure to shift and night work and all-cause and cause-specific mortality. The study was based on a large national representative French prospective cohort of 1,511,456 employees followed up from 1976 to 2002. Exposure to shift and night work relied on a job-exposure matrix, and 3 time-varying measures (current, cumulative, and recency-weighted cumulative exposure) were constructed. Mortality and causes of death were provided by the national registry, and all-cause, cardiovascular, cancer and preventable mortality, and suicide were studied. Cox proportional hazards models were performed to study the associations between shift and night work and mortality. During follow-up, 22,105 deaths occurred for all-cause mortality. In the study of mortality until the end of last job during follow-up, shift and/or night work were associated with all-cause, cardiovascular, cancer and preventable mortality, and suicide (except night without shift work with cancer mortality and suicide) among men. Shift work (especially shift without night work) was associated with all-cause, cancer and preventable mortality among women. The results were similar for current, cumulative, and recency-weighted cumulative exposure. Associations were found for more detailed causes of death: cerebrovascular diseases for both genders, ischemic heart diseases, respiratory cancers, smoking-related mortality, and external causes of death among men, and breast cancer among women. In the study of mortality until the end of follow-up, some additional associations were found among women between night work and all-cause and preventable mortality, and suicide, suggesting long-term or delayed exposure effects. The study may, however, be underpowered to detect all the exposure-outcome associations, especially among women. More research and prevention are needed to reduce mortality among shift and night workers.

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., (© 2021. The Author(s).)

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., (Copyright © 2020 Elsevier Inc. All rights reserved.)

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., (© 2020 European Sleep Research Society.)

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., (© 2020 Wiley Periodicals LLC.)

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., (Copyright © 2020 by the American Psychosomatic Society.)

Objectives The study aims to explore the prospective associations of the psychosocial work exposures of the job strain model with cardiovascular mortality, including mortality for ischemic heart diseases (IHD) and stroke, using various time-varying exposure measures in the French working population of employees. Methods The study was based on a cohort of 798 547 men and 697 785 women for which job history data from 1976 to 2002 were linked to mortality data and causes of death from the national death registry. Psychosocial work exposures from the validated job strain model questionnaire were assessed using a job-exposure matrix (JEM). Three time-varying measures of exposure were studied: current, cumulative, and recency-weighted cumulative exposure. Cox proportional hazards models were used to examine the associations between psychosocial work exposures and cardiovascular mortality. Results Within the 1976-2002 period, there were 19 264 cardiovascular deaths among men and 6181 among women. Low decision latitude, low social support, job strain, iso-strain, passive job, and high strain were associated with cardiovascular mortality. Most of these associations were also observed for IHD and stroke mortality. The comparison between the different exposure measures suggested that current exposure may be more important than cumulative (or past) exposure. The population fractions of cardiovascular mortality attributable to job strain were 5.64% for men and 6.44% for women. Conclusions Psychosocial work exposures of the job strain model may play a role in cardiovascular mortality. The estimated burden of cardiovascular mortality associated with these exposures underlines the need for preventive policies oriented toward the psychosocial work environment.

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.

Objectives: The objectives were to explore the associations between various types of occupational exposures and depression in the French national working population, most of the studies in the literature focussing on a limited number of exposures and on symptom scales., Methods: The study was based on a nationally representative sample of 25 977 employees, 14 682 men and 11 295 women. Depression was measured using the PHQ-9 instrument and algorithm. Occupational exposures included factors related to both the psychosocial and physical work environment. Weighted logistic regression analyses were performed to study the associations between exposures and outcome with adjustment for covariates among men and women separately., Results: The prevalence of depression was higher for women than for men (5.70% versus 3.78%). The final models showed that low decision latitude, low reward, bullying, work-family and ethical conflicts for both genders, and high psychological demands, low social support, and long working hours among women were risk factors for depression. No occupational exposure of physical, biomechanical, chemical and biological nature was associated with depression. Sensitivity analyses confirmed the robustness of the results., Conclusions: Significant associations were found between psychosocial work exposures and depression, and there were some differences in these associations between genders. This study is one of the first to provide a comprehensive overview of occupational exposures in association with depression. More prevention towards the psychosocial work environment is needed to improve mental health of working populations., Competing Interests: Declaration of competing interest None., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Background: Work and related exposures may play a role in suicide and there has been evidence in the literature that some occupational factors may be associated with suicide. The identification of occupational risk factors of suicide mortality among employees affiliated to the French special agricultural social security scheme (MSA), an understudied population, appears important. The objective of this study was to identify the occupational factors associated with suicide mortality among French employees from the MSA working between 2007 and 2013., Methods: The study population included all the employees affiliated to the MSA working between 1st January 2007 and 31st December 2013, i.e. 1,699,929 men and 1,201,017 women. The studied occupational factors included: economic activity, skill level, and work contract. Survival analyses (Cox models) stratified on gender were performed using age as time scale and region and year of contract as adjustment variables., Results: Among men, the factors associated with an elevated suicide risk were: economic activities of forestry, agriculture and related activities, and manufacture of food products and beverages (e.g. meat, wine), low-skilled level and working in the regions of Brittany, Burgundy Franche-Comté, Pays de la Loire, Normandy, Grand Est and Centre-Val-de-Loire. No association was observed among women., Conclusion: These results suggest that economic activity and low-skilled level may be associated with suicide among men affiliated to the MSA and may contribute to the implementation of prevention interventions. Further studies are needed to confirm and better understand these associations., (Copyright © 2019 Elsevier Masson SAS. All rights reserved.)

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.

Introduction: Although evidence has been provided on the associations between psychosocial work exposures and morbidity outcomes in the literature, knowledge appears much more sparse on mortality outcomes. The objective of STRESSJEM is to explore the prospective associations between psychosocial work exposures and mortality outcomes among the national French working population. In this paper, we describe the study protocol, study population, data sources, method for exposure assessment, data analysis and future plans., Methods and Analysis: Data sources will include: the data from the national SUMER survey from DARES on the evaluation of psychosocial work exposures and the data from the COSMOP programme from Santé publique France linking job history (DADS data from INSEE) and mortality according to causes of death (data from the national death registry, INSERM-CépiDc). A sample of 1 511 456 individuals will form the studied prospective cohort for which data are available on both job history and mortality over the period 1976-2002. Psychosocial work exposures will be imputed via a job-exposure matrix using three job title variables that are available in both the SUMER and COSMOP data sets. Our objectives will be to study the associations between various psychosocial work exposures and mortality outcomes. Psychosocial work exposures will include the job strain model factors as well as other psychosocial work factors. Various measures of exposure over time will be used. All-cause and cause-specific mortality will be studied., Ethics and Dissemination: Both the SUMER survey and the COSMOP programme have been approved by French ethics committees. Dissemination of the study results will include a series of international peer-reviewed papers and at least one paper in French. The results will be presented in national and international conferences. This project will offer a unique opportunity to explore mortality outcomes in association with psychosocial work exposures in a large national representative sample of the working population., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

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.

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., (© The Author(s) 2018. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

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.

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.

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.

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.

Objectives This review aimed to quantify suicide risk among agricultural, forestry, and fishery workers and study potential variations of risk within this population. Methods We conducted a systematic literature review and meta-analysis from 1995 to 2016 using MEDLINE and following the PRISMA guidelines. A pooled effect size of suicide risk among the population of interest was calculated using meta-analysis. Subgroup analyses were conducted to investigate whether effect size differed according to population or study characteristics. Meta-regression was used to identify sources of heterogeneity. Results The systematic review identified 65 studies, of which 32 were included in the meta-analysis. Pooled effect size was 1.48 [95% confidence interval (CI) 1.30-1.68] representing an excess of suicide risk among the population of interest. Subgroup analysis showed that this effect size varied according to geographic area, with a higher effect size in Japan. The following study characteristics were found to contribute to the between-study variance: reference group, measure of effect size, and study design. Conclusions Our findings suggest an excess of suicide risk among agricultural, forestry, and fishery workers and demonstrated that this excess may be even higher for these groups in Japan. This review highlights the need for suicide prevention policies focusing on this specific population of workers. More research is also needed to better understand the underlying factors that may increase suicide risk in this population.

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., (© The Author 2017. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.)

Background: The 2008 economic crisis may have had an impact on mental health but the studies on this topic are sparse, in particular among the working population. However, mental health at work is a crucial issue involving substantial costs and consequences. The aim of the study was to assess changes in behaviors and indicators of mental health in the French working population between 2006 and 2010, and to explore the differential changes according to age, origin, occupation, activity sector, public/private sector, self-employed/employee status and work contract., Methods: The data came from the prospective national representative Santé et itinéraire professionnel (SIP) survey, including a sample of 5600 French workers interviewed in 2006 and 2010. The behaviors and indicators of mental health studied were excessive alcohol consumption, smoking, sleep problems (sleep disorders and/or insufficient sleep duration), psychotropic drug use (antidepressants, anxiolytics and/or hypnotics), and poor self-reported health. Generalized estimating equations were used to analyze changes in behaviors and indicators of mental health, and the analyses were adjusted for age. Covariates (age, origin, occupation, activity sector, public/private sector, self-employed/employee status and type of contract) were added separately to assess differential changes., Results: Increases in excessive alcohol consumption among women, sleep problems among men, and smoking, insufficient sleep duration and poor self-reported health for both genders were observed in the French working population between 2006 and 2010. Some differential changes were observed, negative changes being more likely to affect young workers and workers with a permanent contract., Conclusion: Prevention policies should consider that behavior and indicators of mental health may deteriorate in times of economic crisis, especially among some sub-groups of the working population, such as young workers and workers with a permanent contract. These changes might foreshadow a forthcoming increase in mental disorders., (Copyright © 2017 Elsevier Masson SAS. All rights reserved.)

Background: Adverse psychosocial working environments characterized by job strain (the combination of high demands and low control at work) are associated with an increased risk of depressive symptoms among employees, but evidence on clinically diagnosed depression is scarce. We examined job strain as a risk factor for clinical depression., Method: We identified published cohort studies from a systematic literature search in PubMed and PsycNET and obtained 14 cohort studies with unpublished individual-level data from the Individual-Participant-Data Meta-analysis in Working Populations (IPD-Work) Consortium. Summary estimates of the association were obtained using random-effects models. Individual-level data analyses were based on a pre-published study protocol., Results: We included six published studies with a total of 27 461 individuals and 914 incident cases of clinical depression. From unpublished datasets we included 120 221 individuals and 982 first episodes of hospital-treated clinical depression. Job strain was associated with an increased risk of clinical depression in both published [relative risk (RR) = 1.77, 95% confidence interval (CI) 1.47-2.13] and unpublished datasets (RR = 1.27, 95% CI 1.04-1.55). Further individual participant analyses showed a similar association across sociodemographic subgroups and after excluding individuals with baseline somatic disease. The association was unchanged when excluding individuals with baseline depressive symptoms (RR = 1.25, 95% CI 0.94-1.65), but attenuated on adjustment for a continuous depressive symptoms score (RR = 1.03, 95% CI 0.81-1.32)., Conclusions: Job strain may precipitate clinical depression among employees. Future intervention studies should test whether job strain is a modifiable risk factor for depression.

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.

Background: Prevalence of musculoskeletal pain according to sites of pain and associated factors in the community has not been thoroughly documented. The association between pain and socioeconomic position has been studied by several authors, but without details in most studies regarding sites of pain, whereas the relations with social position could differ according to the site of pain. The objective of this study was to explore these differences in the community in France., Methods: The national Health and Occupational History survey was conducted in France in 2006 in subjects aged 20-74 years. Self-assessment of pain at various sites in the previous year was recorded. Five sites were considered here: back, neck, shoulder, upper limb, and lower limb. After a description of prevalence according to gender and age, the associations with socioeconomic position at the beginning of the subjects' working life, in seven categories, were studied with logistic models adjusted for age. The analyses were limited to those aged 30-74 years and were conducted separately for men and women., Results: Of the 5520 males and 6643 females studied, prevalence was the highest for back pain (35% for males, 37% for females). Pain was globally more frequent for women. For all sites of pain an increase with age was significant for women. This was not observed in men for back pain (highest prevalence in the 40- to 49-year-old age group) or neck pain. Overall, prevalence of pain was the lowest for professionals (reference category in the analyses). For males, the first occupation as a farmer or blue-collar worker was associated with an increased prevalence for most sites of pain, with odds ratios close to 2. For females, prevalence was increased for more socioeconomic categories, as compared to professionals. Among the five sites, neck pain was an exception: for both men and women, no association was observed between neck pain and socioeconomic position., Conclusion: Although exploratory, these results are consistent with the available knowledge on occupational and personal risk factors for pain, which differ according to the site of pain. Other studies are needed to better understand the causal mechanisms underlying the associations observed., (Copyright © 2016 Elsevier Masson SAS. All rights reserved.)

Objectives: Social inequalities in mental health have been observed, but explanations are still lacking. The objectives were to evaluate the contribution of a large set of psychosocial work factors and other occupational exposures to social inequalities in mental health in a national representative sample of employees., Methods: The sample from the cross-sectional national French survey SUMER 2010 included 46,962 employees: 26,883 men and 20,079 women. Anxiety and depression symptoms were measured using the Hospital Anxiety and Depression scale. 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/hours, and workplace violence. Other occupational exposures of chemical, biological, physical, and biomechanical nature were also studied. Weighted age-adjusted linear regression analyses were performed., Results: Occupational gradients were found in the exposure to most psychosocial work factors and other occupational exposures. Occupational inequalities were observed for depressive symptoms, but not for anxiety symptoms. The factors related to decision latitude (and its sub-dimensions, skill discretion, and decision authority), social support, and reward (and its sub-dimensions, job promotion, job insecurity, and esteem) contributed to explain occupational inequalities in depressive symptoms. Decision latitude played a major role in the explanation. Workplace violence variables contributed among men only. Other exposures of physical and biomechanical nature also displayed significant contributions., Conclusions: Comprehensive prevention policies at the workplace may help to reduce social inequalities in mental health in the working population.

Introduction: A Job Exposure Matrix (JEM) for psychosocial job stressors allows assessment of these exposures at a population level. JEMs are particularly useful in situations when information on psychosocial job stressors were not collected individually and can help eliminate the biases that may be present in individual self-report accounts. This research paper describes the development of a JEM in the Australian context., Methods: The Household Income Labour Dynamics in Australia (HILDA) survey was used to construct a JEM for job control, job demands and complexity, job insecurity, and fairness of pay. Population median values of these variables for all employed people (n = 20,428) were used to define individual exposures across the period 2001 to 2012. The JEM was calculated for the Australian and New Zealand Standard Classification of Occupations (ANZSCO) at the four-digit level, which represents 358 occupations. Both continuous and binary exposures to job stressors were calculated at the 4-digit level. We assessed concordance between the JEM-assigned and individually-reported exposures using the Kappa statistic, sensitivity and specificity assessments. We conducted regression analysis using mental health as an outcome measure., Results: Kappa statistics indicate good agreement between individually-reported and JEM-assigned dichotomous measures for job demands and control, and moderate agreement for job insecurity and fairness of pay. Job control, job demands and security had the highest sensitivity, while specificity was relatively high for the four exposures. Regression analysis shows that most individually reported and JEM measures were significantly associated with mental health, and individually-reported exposures produced much stronger effects on mental health than the JEM-assigned exposures., Discussion: These JEM-based estimates of stressors exposure provide a conservative proxy for individual-level data, and can be applied to a range of health and organisational outcomes.

Objectives: This study aimed at exploring the cross-sectional and prospective associations between psychosocial work factors and sleep problems., Methods: The study population consisted of a national representative sample of the French working population (SIP survey). The sample sizes were 7506 and 3555 for the cross-sectional and prospective analyses. Sleep problems were defined by either sleep disturbances or insufficient sleep duration at least several times a week. Psychosocial work factors included classical (job strain model factors) and emergent factors (recognition, insecurity, role/ethical conflict, emotional demands, work-life imbalance, etc.). Occupational factors related to working time/hours and physical work environment were also included as well as covariates related to factors outside work. Statistical analyses were performed using weighted Poisson regression analysis., Results: In the cross-sectional analyses, psychological demands, low social support, low recognition, emotional demands, perception of danger, work-life imbalance and night work were found to be associated with sleep problems. In the prospective analyses, psychological demands and night work were predictive of sleep problems. Using a less conservative method, more factors were found to be associated with sleep problems. Dose-response associations were observed, showing that the more frequent the exposure to these factors, the higher the risk of sleep problems. No effect of repeated exposure was found on sleep problems., Conclusion: Classical and emergent psychosocial work factors were associated with sleep problems. More prospective studies and prevention policies may be needed.

Objectives: The objective was to explore the associations between psychosocial work factors and first depressive episode. Additional objectives included the study of the frequency and duration of exposure, and the evaluation of the induction period between exposures and outcome and of the reversibility of the effects., Methods: The study was based on a sample of 13,648 men and women from the 2006 national representative French SIP survey. Retrospective evaluation was performed for depressive episode for the whole life history, for psychological demands, skill discretion, social support, tension with the public, reward and work-life imbalance for each job, and within each job before and after each major change, and for time-varying covariates. The outcome was the first depressive episode. Statistical analysis was performed using weighted discrete time logistic regression model., Results: High psychological demands and low social support were risk factors for first depressive episode for both genders. The risk increased with the frequency of exposure to these factors. Associations were found with the frequency of exposure to tension with the public among women and to work-life imbalance among men. The risk increased with the duration of exposure to psychological demands and low social support for both genders, however, these associations become non-significant when recent exposure was taken into account. Past exposure older than 2 years was not associated with the outcome., Conclusion: Associations between psychosocial work factors and first depressive episode were observed, including dose-response associations. However, after removal of the exposure, the risk may be reduced after 2 years.

Background: Social inequalities in mental health have been demonstrated but understanding the mechanisms remains unclear. This study aims at exploring the role of psychosocial work factors in explaining occupational inequalities in mental health among European employees., Methods: The study sample covered 33,443 employees coming from the European Working Conditions Survey 2010. Mental health was measured by the WHO-5 well-being index and socioeconomic position by occupation. Twenty-five psychosocial work factors were constructed including job demands, job influence and development, role stressors, social support, quality of leadership, discrimination, violence at work, working hours, job promotion, job insecurity and work-life imbalance. Multilevel linear regressions and bootstrap analyses were performed., Results: Occupational differences were observed for poor mental health and almost all psychosocial work factors. Factors related to job demands, influence and development at work, social relationships and leadership, working hours and other factors contributed to explain the occupational inequalities in mental health. In particular, factors related to influence and development contributed substantially. Among men, workplace violences were found to contribute little whereas among women these factors did not play a role., Conclusions: Future prevention interventions should have a broad and comprehensive focus in order to reduce social inequalities in mental health., (© The Author 2015. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: This study aimed at assessing the changes in mental disorders in the French working population between 2006 and 2010, using nationally representative prospective data and a structured diagnostic interview for major depressive episode (MDE) and generalized anxiety disorder (GAD), and also at exploring the differential changes in mental disorders according to age, origin, occupation, public/private sector, self-employed/employee status and work contract., Methods: The data came from the prospective national representative Santé et Itinéraire Professionnel (SIP) survey, including a sample of 5600 French workers interviewed in 2006 and 2010. The Mini International Neuropsychiatric Interview (MINI) was used to measure MDE and GAD. Analyses were performed using weighted generalized estimation equations, and were stratified by gender., Results: No changes in MDE and GAD were observed for both genders among the working population. No differential changes were observed, except one: the prevalence of GAD increased among women working in the public sector while there was no change among women in the private sector., Limitations: Two data collections over a 4-year period may not capture the effects of the crisis on mental disorders properly., Conclusion: No changes in mental disorders between 2006 and 2010 were found but the increase in the prevalence of anxiety among women in the public sector may be of particular interest for prevention policies. High levels of social protection in France might contribute to explain these non-significant results., (Copyright © 2015 Elsevier B.V. All rights reserved.)

Objectives: Social inequalities in mental disorders have been reported; the lower the social position, the higher the prevalence of mental disorders. However, these inequalities have not always been observed and results may vary according to the indicator of social position, mental health outcome and population studied. The objective of this study was to examine the association between social position (educational level) and two mental disorders (major depressive disorder-MDD and general anxiety disorder-GAD), measured using a structured diagnostic interview (MINI), and to evaluate the contribution of work status in the explanation of this association., Methods: The study was based on a national representative sample of the French general population of 11,777 people including 8,072 workers. All analyses were done using weighted data. Bivariate Rao-Scott Chi-square tests were conducted, and multivariate analysis was performed using weighted logistic regression analysis with adjustment for age., Results: The prevalences of MDD/GAD and of less educated people were lower in the working population than in the non-working population. Educational inequalities were observed for MDD and GAD in the general population. Non-working status contributed to explain these inequalities by 23-28 % for MDD and by 23-37 % for GAD when the less educated group was considered. Non-working status was strongly associated with both disorders., Conclusion: These results may improve our knowledge on educational inequalities in mental health and help to understand the discrepancies in the literature. Effort to preserve jobs and facilitate the return to employment may help to reduce social inequalities in mental health.

Purpose: Occupational biomechanical exposures are considered as risk factors for low back pain in the working population. It has also been suggested that their effects persist after retirement. Our objectives were to assess the role of past biomechanical occupational exposure on low back pain in early old age among male participants of the Gazel Cohort., Methods: Low back pain for more than 30 days in the past 12 months (LBP30) was assessed in 1996 and 2006 using a French version of the Nordic questionnaire in a subsample of the Gazel Cohort. Logistic regression models were used to study associations between LBP30 in 2006 and past occupational biomechanical exposure, self-reported in 1996, taking into account personal and psychosocial work factors self-reported in 1996, and the date of retirement provided by the company. A multinomial model served to study persistent and new cases, according to LBP30 in 1996., Results: We studied 1,520 men aged 58-67 in 2006, most of them retired. Low back pain for more than 30 days in the past 12 months reported in 2006 was related to occupational biomechanical exposure encountered many years earlier (OR 1.55, 95% CI 1.05-2.27 for 10-20 years of exposure to bending/twisting, OR 1.71, 95% CI 1.17-2.49 for >20 years). These associations appeared specific to low back pain for more than 30 days in the past 12 months which persisted between 1996 and 2006., Conclusion: These results suggest that occupational biomechanical exposure during active life has persistent effects among men in early old age, even for people who left the workforce. They point out the importance of preventive measures at work for better health later and appear relevant for policy-making decisions concerning age at retirement.

Prospective studies exploring the associations between a large range of occupational factors and psychotropic drug use among national samples of workers are seldom. This study investigates the cross-sectional and prospective associations between occupational factors, including a large set of psychosocial work factors, and psychotropic drug use in the national French working population. The study sample comprised 7542 workers for the cross-sectional analysis and 4213 workers followed up for a 4-year period for the prospective analysis. Psychotropic drug use was measured within the last 12 months and defined by the use of antidepressants, anxiolytics or hypnotics. Three groups of occupational factors were explored: classical and emergent psychosocial work factors, working time/hours and physical work exposures. Weighted Poisson regression analyses were performed to adjust for covariates. In the cross-sectional analysis, psychological demands, low social support and hiding emotions were associated with psychotropic drug use. Job insecurity for men and night work for women were associated with psychotropic drug use. In the prospective analysis, hiding emotions and physical exposure were predictive of psychotropic drug use. Dose-response associations were observed for the frequency/intensity of exposure and repeated exposure to occupational factors. This study underlines the role of psychosocial work factors, including emergent factors, in psychotropic drug use. Prevention policies oriented toward psychosocial work factors comprehensively may be useful to reduce this use., (Copyright © 2015 Elsevier Ltd. All rights reserved.)