Moderating effects of leisure-time physical activity on the association between job strain and depressive symptoms: the Cardiovascular Risk in Young Finns Study

The moderating role of physical activity on the relationship between work intensity and depressive symptoms among the employees

Our aim was to examine the associations between work intensity and depressive symptoms among the working population, as well as to identify the impact of physical activity (PA) on these relationships. Spearman correlation analysis was conducted to analyze the correlations among work intensity, PA, and depressive symptoms. Working hours and working days were positively correlated with depressive symptoms (r = 0.108, 0.063; all p values were <0.001). Regular PA, exercise time, exercise frequency, and exercise years were negatively correlated with depressive symptoms (r = -0.121, -0.124, -0.152, -0.149; all p values were <0.001) and working days (r = -0.066, -0.050, -0.069, -0.044; all p values were <0.001), working hours (r = -0.113. -0.106, -0.161, -0.123; all p values were <0.001). Working days was positively correlated with working hours (r = 0.512, p < 0.001). Different levels of PA alleviated the effect of working hours or working days on depressive symptoms. Working hours seemed to be more correlated with depressive symptoms than working days. The results suggest that PA at any level could buffer against the effects of work intensity and might prove a helpful strategy for improving mental health issues among employees.

The associations of job strain and leisure-time physical activity with the risk of hypertension: the population-based Midlife in the United States cohort study

OBJECTIVES

Job strain is positively associated with incident hypertension, while increasing leisure-time physical activity (LTPA) can reduce incident hypertension. However, the joint associations of job strain and LTPA with incident hypertension among United States workers have yet to be investigated. This study examined the independent and joint associations of job strain and LTPA with incident hypertension.

METHODS

This prospective cohort study (n=1,160) utilized data from the population-based Midlife in the United States study. The associations of job strain and LTPA at baseline with incident hypertension during follow-up were examined using Cox proportional hazards models. High job strain was derived from a combination of high job demands and low job control, and high LTPA was defined as engagement in moderate or vigorous LTPA at least once per week.

RESULTS

During 9,218 person-years of follow-up, the hypertension incidence rate was 30.6 (95% confidence interval [CI], 27.3 to 34.3) per 1,000 person-years. High job strain was associated with a higher risk for hypertension than low job strain (adjusted hazard ratio [aHR], 1.29; 95% CI, 1.00 to 1.67). High LTPA was associated with lower hypertension risk than low LTPA (aHR, 0.77; 95% CI, 0.60 to 0.98). Hypertension risk was higher among workers with high job strain and low LTPA than among those with low job strain and high LTPA (aHR, 1.70; 95% CI, 1.18 to 2.43).

CONCLUSIONS

Job strain and LTPA showed positive and inverse associations, respectively, with incident hypertension. The combination of high job strain and low LTPA was associated with the highest risk for hypertension.

Associations Between Job-Strain, Physical Activity, Health Status, and Sleep Quality Among Swedish Municipality Workers

Objective:

To examine the associations between work-stress and physical activity (PA) with sleep quality while controlling for covariates, including social support.

Methods:

A cross-sectional study among employees of a municipality (n = 2765). Data from respondents (n = 1973) with good/poor sleep quality were included. Prevalence ratios (PR) were estimated using modified Poisson regression analyses.

Results:

A significant interaction was observed between job-strain and self-reported health in the explanation of sleep quality. Consequently, interaction (job strain × self-rated health) adjusted PRs were calculated. The PRs for high job strain were 1.986 (95% CI 1.58 to 2.49) and 1.220 (95% CI 1.04 to 1.44) compared with the reference groups.

Conclusions:

Findings show that high job strain and low PA levels are associated with poor sleep quality, and that self-rated health plays an important moderating role in the association between job strain and sleep quality.

Domain-Specific Physical Activity and Mental Health: A Meta-analysis

CONTEXT

The mental health benefits of physical activity are well established. However, less is known about whether the relationship between physical activity and mental health is consistent across different life domains. It is important to understand how context may influence the relationship between physical activity and mental health so that interventions and policy guidelines can be tailored to maximize positive effects.

EVIDENCE ACQUISITION

In 2015, systematic searches of four databases identified 13,435 records, of which 98 studies met the inclusion criteria.

EVIDENCE SYNTHESIS

Included studies were published between 1988 and 2015 and had a combined sample size of 648,726. Of the 98 included studies, 93 examined leisure-time physical activity, 14 examined work-related physical activity, 15 examined transport physical activity, 16 examined household physical activity, three examined school sport, and three examined physical education. Multi-level meta-analyses showed that leisure-time physical activity (r =0.13) and transport physical activity (r =0.13) both had a positive association with mental health. Leisure-time physical activity (r = -0.11) and school sport (r = -0.09) both had an inverse association with mental ill-health. However, physical activity was not consistently associated with lower mental ill-health across domains, as work-related physical activity was positively associated with mental ill-health (r =0.09). Household physical activity and participation in physical education had no relationship with mental health or mental ill-health.

CONCLUSIONS

The domain in which physical activity occurs influences the relationship between physical activity and mental health and should, therefore, be considered when developing interventions, treatment programs, and policy guidelines.

Outpatient rehabilitation as an intervention to improve employees' physical capacity

BACKGROUND

The aging of the workforce poses new challenges for maintaining work ability. Because of limited information on the effectiveness of vocational rehabilitation performed in traditional inpatient programs, extended interest in outpatient rehabilitation has risen in the past few years.

OBJECTIVE

We examined the effects of a new outpatient rehabilitation program where every participant defined their own goals to improve work ability by the aid of a goal-oriented multi-professional team. This report will focus on the employees' physical capacity during a nine-month program.

METHODS

A total of 605 municipal employees from different production areas of the City of Tampere took part in the outpatient rehabilitation program, implemented by the occupational health unit. Groups of 12 employees participated in eight one-day sessions at intervals of two to three weeks; the final follow-up was 9 months from the beginning. Submaximal aerobic capacity was tested by a calibrated cycle ergometer with a commercial program (Aino Fitware pro, Helsinki, Finland). Musculoskeletal tests assessed muscle strength, balance and mobility.

RESULTS

During the 9-month follow-up of the rehabilitation program, the employees' physical capacity was improved. The follow-up test scores from a total of 329 employees were significantly higher in the submaximal aerobic capacity test (p < 0.001). Other tests were also improved, such as standing on one foot (p = 0.001), back side bending flexibility test (p < 0.001), dynamic sit up (p = 0.001), upper extremity right (p < 0.001), and knee bending (p = 0.029). About 40% of the participants did not have an adequate health situation to take part in physical capacity tests; however they took part in the intervention.

CONCLUSIONS

The new outpatient rehabilitation program organized by the occupational health unit had a positive influence on employees' physical capacity during a nine-month follow up.

The Majority of the Migrant Factory Workers of the Light Industry in Shenzhen, China May Be Physically Inactive

Physical inactivity is a strong risk factor of non-communicable diseases (NCD). In China, there are 250 million migrant factory workers, who are susceptible to physical inactivity and hence NCD because of work nature and setting. With random stratified sampling, 807 such workers of the light industry were recruited in Shenzhen, China and completed a self-administered questionnaire with informed consent. The prevalence of inadequate physical activity (defined according to the World Health Organization’s recommendation on level of moderate/vigorous physical activity) was 95.4%. Of all participants, 69.1% showed “a very low level of physical activity” (VLLPA), defined as ≤30 minutes of weekly moderate/vigorous physical activity, which was significantly associated with female sex (Odds ratio [OR]=1.65), lower education level (OR=0.10 to 0.33, primary education as the reference group) and married status (OR=0.63, single status as the reference group). Adjusted for these factors, perceived social support (Adjusted OR=0.87) was negatively associated with VLLPA, while job stress due to workload, which was significant in the univariate analysis (OR=0.98), became non-significant (p=0.184). Significant interaction between perceived social support and perceived job stress onto VLLPA was found (p=0.044), implying that the negative association between job stress and VLLPA, which might reflect a potential response to cope with stress by performing exercises, was stronger among those with weaker social support. The extremely low level of physical activity rings an alarm, as it implies high risk of NCD, and as there are no existing programs promoting physical activity in this group. Interventions need to take into account social support, potential coping to job stress, and structural factors of the factory setting, while involving factories’ management.