| meta-analysis | Q815382 |
| scholarly article | Q13442814 |
| P50 | author | Annalisa Casini | Q114314597 |
| Aki Koskinen | Q114314600 | ||
| Goedele A Geuskens | Q114314614 | ||
| Wendela E Hooftman | Q114314615 | ||
| Marie Zins | Q114314616 | ||
| Sébastien Bonenfant | Q114314617 | ||
| Johannes Siegrist | Q1322615 | ||
| Michael Marmot | Q1928530 | ||
| Markku Koskenvuo | Q27075107 | ||
| Töres Theorell | Q5817390 | ||
| Karl-Heinz Jöckel | Q29999832 | ||
| Raimund Erbel | Q29999865 | ||
| Archana Singh-Manoux | Q30000117 | ||
| Lars Alfredsson | Q30349390 | ||
| Jakob Bue Bjorner | Q90712329 | ||
| Matti Joensuu | Q91040149 | ||
| Maria Nordin | Q91229745 | ||
| Irene Houtman | Q95830924 | ||
| Peter J M Westerholm | Q96188583 | ||
| Thorsten Lunau | Q99348609 | ||
| Ari Väänänen | Q110429384 | ||
| Solja T Nyberg | Q114314595 | ||
| Marianne Borritz | Q114314596 | ||
| Jane E. Ferrie | Q114314598 | ||
| France Kittel | Q114314599 | ||
| Mika Kivimäki | Q37386335 | ||
| Meena Kumari | Q37390225 | ||
| Martin L. Nielsen | Q40249440 | ||
| Mark Hamer | Q40910220 | ||
| Anne Kouvonen | Q42724499 | ||
| Marcel Goldberg | Q44475753 | ||
| Eleonor Fransson | Q51892606 | ||
| Dirk De Bacquer | Q55232854 | ||
| Tuula A. Oksanen | Q55602617 | ||
| Sakari B Suominen | Q56515870 | ||
| Jussi Vahtera | Q56954279 | ||
| Séverine Sabia | Q57060699 | ||
| Katriina Heikkila | Q58417494 | ||
| Karl Anders Knutsson | Q63859965 | ||
| George David Batty | Q64474825 | ||
| Marianna Virtanen | Q67342803 | ||
| Jaana Pentti | Q67343049 | ||
| Ida E H Madsen | Q82260566 | ||
| Linda L Magnusson Hanson | Q87231139 | ||
| Els Clays | Q88234333 | ||
| Hugo Westerlund | Q89226254 | ||
| Constanze Leineweber | Q89561763 | ||
| Hermann Burr | Q90046370 | ||
| Reiner Rugulies | Q90046384 | ||
| P2093 | author name string | Nico Dragano | |
| P2860 | cites work | Measuring inconsistency in meta-analyses | Q27860655 |
| Health inequalities among British civil servants: the Whitehall II study | Q28243710 | ||
| Does race/ethnicity moderate the association between job strain and leisure time physical activity? | Q28391326 | ||
| Cohort profile: the GAZEL Cohort Study | Q28755459 | ||
| Meta-analysis of individual patient data from randomized trials: a review of methods used in practice. | Q31016826 | ||
| Prevalence odds ratio or prevalence ratio in the analysis of cross sectional data: what is to be done? | Q32061298 | ||
| Meta-analysis of individual participant data: rationale, conduct, and reporting | Q33530020 | ||
| Meta-analysis of the literature or of individual patient data: is there a difference? | Q34334544 | ||
| Job strain and tobacco smoking: an individual-participant data meta-analysis of 166,130 adults in 15 European studies | Q34335601 | ||
| The association of job strain and health behaviours in men and women | Q34432472 | ||
| Lifestyle factors and colorectal cancer risk (2): a systematic review and meta-analysis of associations with leisure-time physical activity | Q34941729 | ||
| Work related and non-work related stress in relation to low leisure time physical activity in a Swedish population | Q35419132 | ||
| High effort, low reward, and cardiovascular risk factors in employed Swedish men and women: baseline results from the WOLF Study | Q35558509 | ||
| Association between passive jobs and low levels of leisure-time physical activity: the Whitehall II cohort study. | Q35581302 | ||
| Comparison of alternative versions of the job demand-control scales in 17 European cohort studies: the IPD-Work consortium | Q35893850 | ||
| Burnout as a predictor of self-reported sickness absence among human service workers: prospective findings from three year follow up of the PUMA study | Q36144157 | ||
| Physical activity and breast cancer: a systematic review. | Q36666202 | ||
| Physical activity and endometrial cancer risk, a systematic review of current evidence | Q36784820 | ||
| Association of physical activity with all-cause and cardiovascular mortality: a systematic review and meta-analysis. | Q37182525 | ||
| Physical activity during leisure time and primary prevention of coronary heart disease: an updated meta-analysis of cohort studies | Q37182529 | ||
| Physical activity and prevention of type 2 diabetes mellitus | Q37273684 | ||
| Psychosocial working conditions and active leisure-time physical activity in middle-aged us workers | Q42863450 | ||
| Job strain and major risk factors for coronary heart disease among employed males and females in a Swedish study on work, lipids and fibrinogen. | Q44117032 | ||
| Predicting changes in sleep complaints from baseline values and changes in work demands, work control, and work preoccupation--the WOLF-project | Q44123364 | ||
| Non-response and related factors in a nation-wide health survey | Q44179765 | ||
| Association between job characteristics and health behaviors in Japanese rural workers | Q44451678 | ||
| Working conditions and health behaviours among employed women and men: the Helsinki Health Study | Q44691231 | ||
| Physical activity as a determinant of mortality in women | Q44984172 | ||
| Prevalence and characteristics of hearing problems in a working and non-working Swedish population | Q45231353 | ||
| The effects of physical activity and body mass index on cardiovascular, cancer and all-cause mortality among 47 212 middle-aged Finnish men and women | Q45277250 | ||
| Engagement in cultural activities and cause-specific mortality: prospective cohort study | Q47582512 | ||
| Demand, control and social climate as predictors of emotional exhaustion symptoms in working Swedish men and women | Q48327669 | ||
| The impact of job strain on the predictive validity of the theory of planned behaviour: an investigation of exercise and healthy eating. | Q48491868 | ||
| Long-term changes in the perception of job characteristics: results from the Belstress II--study | Q49071065 | ||
| Job strain and health behaviors: results of a prospective study | Q50525755 | ||
| Trends in the Danish work environment in 1990-2000 and their associations with labor-force changes | Q50574523 | ||
| The benefits of sustained leisure-time physical activity on job strain | Q51853876 | ||
| Examining the relationships between job control and health status: a path analysis approach | Q51896091 | ||
| Baseline recruitment and analyses of nonresponse of the Heinz Nixdorf Recall Study: identifiability of phone numbers as the major determinant of response | Q52981420 | ||
| Job Demands, Job Decision Latitude, and Mental Strain: Implications for Job Redesign | Q56226658 | ||
| Socioeconomic position, co-occurrence of behavior-related risk factors, and coronary heart disease: the Finnish Public Sector study | Q57108669 | ||
| Cohort Profile: The Whitehall II study | Q57241528 | ||
| Job strain and leisure-time physical activity in female and male public sector employees | Q57315547 | ||
| The Intervention Project on Absence and Well-being (IPAW): Design and results from the baseline of a 5-year study | Q59204817 | ||
| Sustained Involvement in Youth Sports Activities Predicts Reduced Chronic Job Strain in Early Midlife | Q61378361 | ||
| Lifestyle risk factors for cancer: the relationship with psychosocial work environment | Q73085918 | ||
| Psychosocial factors at work, smoking, sedentary behavior, and body mass index: a prevalence study among 6995 white collar workers | Q73397233 | ||
| Easy SAS calculations for risk or prevalence ratios and differences | Q81908646 | ||
| P275 | copyright license | Creative Commons Attribution-NonCommercial 3.0 Unported | Q18810331 |
| P433 | issue | 12 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | occupational disease | Q637816 |
| risk factor | Q1475848 | ||
| physical exercise | Q219067 | ||
| psychological stress | Q3500368 | ||
| P304 | page(s) | 1078-1089 | |
| P577 | publication date | 2012-11-09 | |
| 2012-12-15 | |||
| P13046 | publication type of scholarly work | review article | Q7318358 |
| P1433 | published in | American Journal of Epidemiology | Q4744243 |
| P1476 | title | 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 | |
| P478 | volume | 176 |
| Q33702804 | A socioecological framework for research on work and obesity in diverse urban transit operators based on gender, race, and ethnicity |
| Q36451565 | A survey of overall life satisfaction and its association with breast diseases in Chinese women |
| Q91588047 | Association of Healthy Lifestyle With Years Lived Without Major Chronic Diseases |
| Q55079540 | Associations among workplace environment, self-regulation, and domain-specific physical activities among white-collar workers: a multilevel longitudinal study. |
| Q33644964 | Associations of fatigue to work-related stress, mental and physical health in an employed community sample |
| Q30540596 | Associations of job strain and lifestyle risk factors with risk of coronary artery disease: a meta-analysis of individual participant data |
| Q26774141 | Barriers and Facilitators to the Uptake and Maintenance of Healthy Behaviours by People at Mid-Life: A Rapid Systematic Review |
| Q93024925 | Cardiovascular Disease and Hair Cortisol: a Novel Biomarker of Chronic Stress |
| Q34449189 | Changes in the lifetime prevalence of suicidal feelings and thoughts among Norwegian doctors from 2000 to 2010: a longitudinal study based on national samples |
| Q50014646 | Cohort Profile: The Swedish Longitudinal Occupational Survey of Health (SLOSH). |
| Q58716276 | Combined Before-and-After Workplace Intervention to Promote Healthy Lifestyles in Healthcare Workers (STI-VI Study): Short-Term Assessment |
| Q40516530 | Comorbidity and work disability among employees with diabetes: Associations with risk factors in a pooled analysis of three cohort studies |
| Q36427065 | Disentangling longitudinal relations between physical activity, work-related fatigue, and task demands |
| Q47355015 | Effects of stress on the development and progression of cardiovascular disease |
| Q30491269 | Effort-reward imbalance at work and incident coronary heart disease: a multi-cohort study of 90,164 individuals |
| Q40004399 | Effort-reward imbalance at work, over-commitment personality and diet quality in Central and Eastern European populations. |
| Q59329080 | Exercise is more than medicine: The working age population's well-being and productivity |
| Q38823558 | Globalization, Work, and Cardiovascular Disease |
| Q23913518 | Health behaviors and overweight in nursing home employees: contribution of workplace stressors and implications for worksite health promotion |
| Q36841564 | Heavy Physical Work: Cardiovascular Load in Male Construction Workers. |
| Q24201530 | Human resource management training of supervisors for improving health and well-being of employees |
| Q90327796 | Human resource management training of supervisors for improving health and well-being of employees |
| Q28396162 | Integrative approaches to safeguarding the health and safety of workers |
| Q31006994 | Interrelationships Between Job Resources, Vigor, Exercise Habit, and Serum Lipids in Japanese Employees: a Multiple Group Path Analysis Using Medical Checkup Data |
| Q28394253 | Inverse association of des-acyl ghrelin with worksite blood pressure in overweight/obese male workers |
| Q90229674 | Job Demand-Control-Support Model as Related to Objectively Measured Physical Activity and Sedentary Time in Working Women and Men |
| Q42715624 | Job strain and COPD exacerbations: an individual-participant meta-analysis |
| Q30654384 | Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women |
| Q66664239 | Job strain and health-related lifestyle |
| Q57224193 | Job strain and health-related lifestyle: findings from an individual-participant meta-analysis of 118,000 working adults |
| Q42754251 | Job strain and lifestyle factors |
| Q35344248 | Job strain and unhealthy lifestyle: results from the baseline cohort study, Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) |
| Q31156825 | Job strain as a risk factor for clinical depression: systematic review and meta-analysis with additional individual participant data |
| Q24620840 | Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data |
| Q28391142 | Job strain as a risk factor for type 2 diabetes: a pooled analysis of 124,808 men and women |
| Q37056409 | Leisure-time activities and psychological distress in a suburban community in Japan |
| Q26795626 | Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603,838 individuals |
| Q36236443 | Longitudinal Mediation Modeling of Unhealthy Behaviors as Mediators between Workplace Demands/Support and Depressive Symptoms |
| Q38942871 | Mortality Among Black Men in the USA. |
| Q93132121 | Multicohort study of change in job strain, poor mental health and incident cardiometabolic disease |
| Q46072325 | Occupational Class Differences in Trajectories of Working Conditions in Women. |
| Q38655759 | Occupational Social Class and Personality Traits in Relation to Leisure-Time Physical Activity Level: Cross-Sectional Results From the Copenhagen Aging and Midlife Biobank |
| Q28394518 | Occupational factors associated with obesity and leisure-time physical activity among nurses: a cross sectional study |
| Q58693401 | Occupational stress and risk for Parkinson's disease: A nationwide cohort study |
| Q53588448 | Overweight, obesity, and risk of cardiometabolic multimorbidity: pooled analysis of individual-level data for 120 813 adults from 16 cohort studies from the USA and Europe |
| Q63214498 | Physical inactivity, cardiometabolic disease, and risk of dementia: an individual-participant meta-analysis |
| Q55389235 | Predictors of increase in physical activity during a 6-month follow-up period among overweight and physically inactive healthy young adults. |
| Q41697145 | Prevalence and determinations of physical inactivity among public hospital employees in Shanghai, China: a cross-sectional study |
| Q28391528 | Prevalence of cardiovascular health and its relationship with job strain: a cross-sectional study in Taiwanese medical employees |
| Q47729259 | Primary Cardiovascular Disease Risk Factors Predicted by Poor Working Conditions in the GAZEL Cohort |
| Q41458851 | Psychosocial Hazard Analysis in a Heterogeneous Workforce: Determinants of Work Stress in Blue- and White-Collar Workers of the European Steel Industry |
| Q40877358 | Psychosocial factors associated with work disability in men and women with diabetes: a pooled analysis of three occupational cohort studies |
| Q96829523 | Psychosocial factors at work from the job strain model and preventable mortality in France: The STRESSJEM prospective study |
| Q23913767 | Psychosocial job factors and biological cardiovascular risk factors in Mexican workers |
| Q59793524 | Psychosocial stress impairs health behavior in patients with mental disorders |
| Q41316198 | Psychosocial work environment and leisure-time physical activity: the Stormont study |
| Q34527018 | Regional differences of undiagnosed type 2 diabetes and prediabetes prevalence are not explained by known risk factors |
| Q37471548 | Role of psychosocial work factors in the relation between becoming a caregiver and changes in health behaviour: results from the Whitehall II cohort study |
| Q41664814 | Self-rated health amongst male and female employees in Sweden: a nationally representative study |
| Q39527774 | Smoking, physical inactivity and obesity as predictors of healthy and disease-free life expectancy between ages 50 and 75: a multicohort study. |
| Q40620911 | Socioeconomic gradient in work disability in diabetes: evidence from three occupational cohorts |
| Q48105062 | Synergistic interaction between job control and social support at work on depression, burnout, and insomnia among Japanese civil servants |
| Q34590930 | The Association between Dry Eye Disease and Physical Activity as well as Sedentary Behavior: Results from the Osaka Study |
| Q36236525 | The Association between Job Strain and Atrial Fibrillation: Results from the Swedish WOLF Study |
| Q28385811 | The Relationship of Metabolic Syndrome with Stress, Coronary Heart Disease and Pulmonary Function--An Occupational Cohort-Based Study |
| Q64095488 | The effect of smoking cessation on work disability risk: a longitudinal study analysing observational data as non-randomized nested pseudo-trials |
| Q47099441 | Using Gamma and Quantile Regressions to Explore the Association between Job Strain and Adiposity in the ELSA-Brasil Study: Does Gender Matter? |
| Q35841715 | Work Disability among Employees with Diabetes: Latent Class Analysis of Risk Factors in Three Prospective Cohort Studies |
| Q26799646 | Work Stress as a Risk Factor for Cardiovascular Disease |
| Q38612170 | Work organization, health, and obesity in urban transit operators: a qualitative study |
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