SynthesisAmerican journal of epidemiology2012
Job strain as a risk factor for leisure-time physical inactivity: an individual-participant meta-analysis of up to 170,000 men and women: the IPD-Work Consortium.
Synthesis in American journal of epidemiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers, 13 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
110 citing papers in PubMed, 13 syntheses or guidelines pooled it.
- Psychosocial work exposures and health outcomes: a meta-review of 72 literature reviews with meta-analysis.Scandinavian journal of work, environment & health · 2021Pooled it
- Human resource management training of supervisors for improving health and well-being of employees.The Cochrane database of systematic reviews · 2019Pooled it
- Physical inactivity, cardiometabolic disease, and risk of dementia: an individual-participant meta-analysis.BMJ (Clinical research ed.) · 2019Pooled it
- Effort-Reward Imbalance at Work and Incident Coronary Heart Disease: A Multicohort Study of 90,164 Individuals.Epidemiology (Cambridge, Mass.) · 2017Pooled it
- Job strain as a risk factor for clinical depression: systematic review and meta-analysis with additional individual participant data.Psychological medicine · 2017Pooled it
- Barriers and Facilitators to the Uptake and Maintenance of Healthy Behaviours by People at Mid-Life: A Rapid Systematic Review.PloS one · 2016Pooled it
- Work Disability among Employees with Diabetes: Latent Class Analysis of Risk Factors in Three Prospective Cohort Studies.PloS one · 2015Pooled it
- Job strain as a risk factor for type 2 diabetes: a pooled analysis of 124,808 men and women.Diabetes care · 2014Pooled it
- Job strain and COPD exacerbations: an individual-participant meta-analysis.The European respiratory journal · 2014Pooled it
- Job strain and health-related lifestyle: findings from an individual-participant meta-analysis of 118,000 working adults.American journal of public health · 2013Pooled it
- Associations of job strain and lifestyle risk factors with risk of coronary artery disease: a meta-analysis of individual participant data.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2013Pooled it
- Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women.PloS one · 2013Pooled it
- Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data.Lancet (London, England) · 2012Pooled it
- The effectiveness of a problem-solving intervention with workplace involvement on self-reported sick leave, psychological symptoms and work ability: a cluster randomised clinical trial.BMC public health · 2024Trial
- The Role of Executive Function in the Effectiveness of Multi-Component Interventions Targeting Physical Activity Behavior in Office Workers.International journal of environmental research and public health · 2021Trial
- Exploring psychosocial mediators of remote physical activity counselling: a secondary analysis of data from a 1-year randomized control trial (Movingcall).Journal of behavioral medicine · 2020Trial
- Combined Before-and-After Workplace Intervention to Promote Healthy Lifestyles in Healthcare Workers (STI-VI Study): Short-Term Assessment.International journal of environmental research and public health · 2018Trial
- Activity profiles and their correlates in patients with localised renal and colorectal cancer shortly after treatment: a cross-sectional analysis.Journal of cancer survivorship : research and practice · 2026Article
- The Effects of Occupational and Leisure Time Physical Activity on Health-Related Quality of Life: A Repeated-Measures Longitudinal Study.Sports medicine (Auckland, N.Z.) · 2026Article
- Impact of Positive Lifestyle Behaviors on Direct Health Care Cost Savings for Low Back Pain.Arthritis care & research · 2026Article
50 more citing papers are in PubMed but not listed here.
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Authors and funding
50 authors.
Funding
Abstract
Unfavorable work characteristics, such as low job control and too high or too low job demands, have been suggested to increase the likelihood of physical inactivity during leisure time, but this has not been verified in large-scale studies. The authors combined individual-level data from 14 European cohort studies (baseline years from 1985-1988 to 2006-2008) to examine the association between unfavorable work characteristics and leisure-time physical inactivity in a total of 170,162 employees (50% women; mean age, 43.5 years). Of these employees, 56,735 were reexamined after 2-9 years. In cross-sectional analyses, the odds for physical inactivity were 26% higher (odds ratio = 1.26, 95% confidence interval: 1.15, 1.38) for employees with high-strain jobs (low control/high demands) and 21% higher (odds ratio = 1.21, 95% confidence interval: 1.11, 1.31) for those with passive jobs (low control/low demands) compared with employees in low-strain jobs (high control/low demands). In prospective analyses restricted to physically active participants, the odds of becoming physically inactive during follow-up were 21% and 20% higher for those with high-strain (odds ratio = 1.21, 95% confidence interval: 1.11, 1.32) and passive (odds ratio = 1.20, 95% confidence interval: 1.11, 1.30) jobs at baseline. These data suggest that unfavorable work characteristics may have a spillover effect on leisure-time physical activity.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.