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

Niedhammer, Isabelle; Milner, Allison; Coutrot, Thomas; Geoffroy‐Perez, Béatrice; LaMontagne, Anthony D.; Chastang, Jean-François

doi:10.1097/psy.0000000000000878

Cited by 12 publications

(13 citation statements)

References 36 publications

(77 reference statements)

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“…The STRESSJEM project was designed to study the associations between occupational exposures, including psychosocial work exposures, exposures related to working hours/time, measured using job-exposure matrices (JEM), and mortality. Previous studies using these data focused on the psychosocial work exposures from the job strain model in association with all-cause and cause-specific mortality (Niedhammer et al, 2020a(Niedhammer et al, , 2020b(Niedhammer et al, , 2020cNiedhammer et al, 2021). Other studies are in progress to examine other exposures.…”

Section: Methodsmentioning

confidence: 99%

Shift and Night Work and All-Cause and Cause-Specific Mortality: Prospective Results From the STRESSJEM Study

et al. 2022

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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.

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Section: Methodsmentioning

confidence: 99%

Shift and Night Work and All-Cause and Cause-Specific Mortality: Prospective Results From the STRESSJEM Study

et al. 2022

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“…It is also important to include more non-work-related mental health factors into models (e.g., life satisfaction, community engagement and lifestyle) [54]. Another area of research that needs to be expanded upon comprises the linkages between work stress, mental health, and physical health conditions, and this could also be supported by more intervention studies and longitudinal research [68]. Other emerging challenges to worker mental health include the rapid rise in new forms of technology, economic crises, and new forms of employment and work organization [69].…”

Section: Prong 1: Future Avenues Of Research and Prevention Within Cu...mentioning

confidence: 99%

An Agenda for Advancing Research and Prevention at the Nexus of Work Organization, Occupational Stress, and Mental Health and Well-Being

Lemke

Hege

Crizzle

2023

IJERPH

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Work characteristics and worker well-being are inextricably connected. In particular, the characteristics of work organization shape and perpetuate occupational stress, which contributes to worker mental health and well-being outcomes. Consequently, the importance of understanding and addressing connections between work organization, occupational stress, and mental health and well-being—the focus of this Special Issue—increasingly demand attention from those affected by these issues. Thus, focusing on these issues in the long-haul truck driver (LHTD) sector as an illustrative example, the purpose of this commentary is as follows: (1) to outline current research approaches and the extant knowledge base regarding the connections between work organization, occupational stress, and mental health; (2) to provide an overview of current intervention strategies and public policy solutions associated with the current knowledge base to protect and promote worker mental health and well-being; and (3) to propose a two-pronged agenda for advancing research and prevention for workers during the 21st century. It is anticipated that this commentary, and this Special Issue more broadly, will both echo numerous other calls for building knowledge and engaging in this area and motivate further research within complementary current and novel research frameworks.

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“…Because patients were enrolled in this study with a median age of 56 years, most patients had already retired after 26 years. In former studies with shorter follow-up times, work strain had a higher impact [6,7,51]. In a national representative cohort of French employees, the associations of current exposure to job strain and mortality were found to be higher among women (HR = 1.15 (95% CI: 1.06-1.25) [52].…”

Section: Plos Onementioning

confidence: 99%

Behavioral factors predict all-cause mortality in female coronary patients and healthy controls over 26 years – a prospective secondary analysis of the Stockholm Female Coronary Risk Study

et al. 2022

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Objective The prognosis of coronary artery disease (CAD) is related to its severity and cardiovascular risk factors in both sexes. In women, social isolation, marital stress, sedentary lifestyle and depression predicted CAD progression and outcome within 3 to 5 years. We hypothesised that these behavioral factors would still be associated with all-cause mortality in female patients after 26 years. Methods We examined 292 patients with CAD and 300 healthy controls (mean age of 56 ± 7 y) within the Fem-Cor-Risk-Study at baseline. Their cardiac, behavioral, and psychosocial risk profiles, exercise, smoking, and dietary habits were assessed using standardized procedures. Physiological characteristics included a full lipid profile, the coagulation cascade and autonomic dysfunction (heart rate variability, HRV). A new exploratory analysis using machine-learning algorithms compared the effects of social and behavioral mechanisms with standard risk factors. Results: All-cause mortality records were completed in 286 (97.9%) patients and 299 (99.7%) healthy women. During a median follow-up of 26 years, 158 (55.2%) patients and 101 (33.9%) matched healthy controls died. The annualized mortality rate was 2.1% and 1.3%, respectively. After controlling for all available confounders, behavioral predictors of survival in patients were social integration (HR 0.99, 95% CI 0.99–1.0) and physical activity (HR 0.54, 95% CI 0.37–0.79). Smoking acted as a predictor of all-cause mortality (HR 1.56, 95% CI 1.03–2.36). Among healthy women, moderate physical activity (HR 0.42, 95% CI 0.24–0.74) and complete HRV recordings (≥50%) were found to be significant predictors of survival. Conclusions CAD patients with adequate social integration, who do not smoke and are physically active, have a favorable long-term prognosis. The exact survival times confirm that behavioral risk factors are associated with all-cause mortality in female CAD patients and healthy controls.

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

Cited by 12 publications

References 36 publications

Shift and Night Work and All-Cause and Cause-Specific Mortality: Prospective Results From the STRESSJEM Study

Shift and Night Work and All-Cause and Cause-Specific Mortality: Prospective Results From the STRESSJEM Study

An Agenda for Advancing Research and Prevention at the Nexus of Work Organization, Occupational Stress, and Mental Health and Well-Being

Behavioral factors predict all-cause mortality in female coronary patients and healthy controls over 26 years – a prospective secondary analysis of the Stockholm Female Coronary Risk Study

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