A prospective study of cumulative job stress in relation to mental health

BACKGROUND: This study tests associations between psychosocial stress at work measured by the effort-reward imbalance model in a dynamic perspective, and multiple indicators of poor mental health, in a prospective design. METHODS: 1986 male and female employees from four Belgian enterprises were followed-up over one year within the framework of the Somstress study. Based on two consecutive measurements, an index of cumulative job stress was constructed and its associations with five indicators of mental health were studied, excluding caseness at entry (for depression, anxiety, somatisation, chronic fatigue and psychotropic drug consumption respectively). Taking into account the longitudinal design, four categories of job stress are defined: 1) employees free from stress at both measures, 2) job stress present at first measure but not at the second one, 3) recent onset of job stress as evidenced by second measure 4) workers exposed to stress at both measures. Multivariate logistic regression with appropriate adjustments was applied. RESULTS: In bivariate analysis, a clear graded association of cumulative job stress with all five mental health indicators is observed, both in men and women. In multivariate logistic regression analysis, recent onset of stress is strongly associated with poor mental health among men (odds ratios ranging from 1.8 to 4.6), while cumulative stress shows strongest effects on mental health in women (odds ratios ranging from 1.4 to 7.1). CONCLUSION: Cumulative experience and recent onset of job stress in terms of high effort spent and low reward received is associated with elevated risk of all five indicators of poor mental health at follow-up in a large cohort of employees

Stress, Fatigue, Health and Risk of Road Traffic Accidents Among Professional Drivers: The Contribution of Physical Inactivity.

This article has been accepted for publication by Annual Reviews. The final version may be in a slightly revised form.Abstract Strategies to achieve ambitious targets for reducing road accidents (34) have largely focused on engineering and technological advancements, the modification of occupational demands, and, to a lesser extent, human factors. These factors include stress and psychological states; sleep, fatigue, and alertness; and health status. Physical activity appears to influence all these human factors but has not previously been systematically considered as a direct or indirect risk factor for driver accidents. This chapter provides an overview, within an evidence-based framework, of the impact each of these human factors has on driver performance and risk of at-work road traffic accidents and then examines how physical (in)activity may moderate and mediate these relationships. Finally, we consider practical implications for work site interventions. The review aims to offer an evidence base for the deployment of resources to promote physical activity, manage stress, facilitate sleep, reduce fatigue, and enhance alertness to improve physical and psychological health among professional drivers

The Association of Job Strain with Coronary Heart Disease and Metabolic Syndrome in Municipal Workers in Turkey

Turkey-To explore the association of job strain with CHD and metabolic syndrome in municipal workers. A cross-sectional study was completed of 450 male workers. Coronary heart disease was defined as: physician diagnosed ischemic heart disease; and/or, ischemic findings in the ECG. Metabolic syndrome was defined according to the criterion set by the National Cholesterol Education Panel. The demand-control model was used to assess job strain. Self administered questionnaires were completed after a face to face interview. Logistic regression models were constructed to assess the association of job strain with CHD and metabolic syndrome. The prevalence of metabolic syndrome and CHD were 17.8% and 8.0% respectively. Both CHD and metabolic syndrome were found to be significantly higher in higher income groups. Job demand and job control were not found to be associated with either CHD or metabolic syndrome. Metabolic syndrome was significantly more prevalent among the high job strain workers, but the significance was lost when controlled for age. The findings suggest that there is no significant association between job strain and metabolic syndrome and CHD in this sample of Turkish workers. Job strain may possibly be perceived differently in different cultures and occupations. Future studies may benefit from using a combination of different stress models and more diverse study populations