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Abstract
Background Shift work may impact women more negatively than men due to the increased burden of coping with demanding work schedules while also undertaking more of the domestic chores, including childcare. Aims To examine whether the combination of shift working and caring for children affects the sleep, fatigue and work–family conflict experienced by women more than it affects men. Methods Using data from a survey of the Swedish working population, mixed linear regression models examined work schedule (daywork, shift work with nights, shift work without nights), gender and presence of children <13 years at home as predictors of sleep insufficiency, sleep disturbance, fatigue and work–family conflict, over up to three successive measurement occasions. Adjustments were made for age, education, full/part-time working and baseline year. Results In fully adjusted models (N = 8938), shift work was associated with insufficient sleep (P < 0.01), disturbed sleep (P < 0.01), fatigue (P < 0.05) and work–family conflict (P < 0.001). Interactions in the analyses of sleep disturbance (P < 0.001) and work–family interference (P < 0.05) indicated that among participants with no children, females reported more disturbed sleep and more work–family conflict than their male counterparts, irrespective of schedule; while among participants with children, female dayworkers reported more disturbed sleep than their male counterparts, and females working shifts without nights reported more work–family interference. Conclusions Having young children did not exacerbate negative effects of shift work, in either men or women. This may reflect high levels of gender equality and childcare provision in Sweden.
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Affiliation(s)
- P Tucker
- Stress Research Institute, Department of Psychology, Stockholm University, Stockholm, Sweden.,Psychology Department, Swansea University, Swansea, UK
| | - C Leineweber
- Stress Research Institute, Department of Psychology, Stockholm University, Stockholm, Sweden
| | - G Kecklund
- Stress Research Institute, Department of Psychology, Stockholm University, Stockholm, Sweden
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2
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Madsen IEH, Nyberg ST, Magnusson Hanson LL, Ferrie JE, Ahola K, Alfredsson L, Batty GD, Bjorner JB, Borritz M, Burr H, Chastang JF, de Graaf R, Dragano N, Hamer M, Jokela M, Knutsson A, Koskenvuo M, Koskinen A, Leineweber C, Niedhammer I, Nielsen ML, Nordin M, Oksanen T, Pejtersen JH, Pentti J, Plaisier I, Salo P, Singh-Manoux A, Suominen S, ten Have M, Theorell T, Toppinen-Tanner S, Vahtera J, Väänänen A, Westerholm PJM, Westerlund H, Fransson EI, Heikkilä K, Virtanen M, Rugulies R, Kivimäki M. Job strain as a risk factor for clinical depression: systematic review and meta-analysis with additional individual participant data. Psychol Med 2017; 47:1342-1356. [PMID: 28122650 PMCID: PMC5471831 DOI: 10.1017/s003329171600355x] [Citation(s) in RCA: 252] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2016] [Revised: 10/28/2016] [Accepted: 12/15/2016] [Indexed: 12/15/2022]
Abstract
BACKGROUND Adverse psychosocial working environments characterized by job strain (the combination of high demands and low control at work) are associated with an increased risk of depressive symptoms among employees, but evidence on clinically diagnosed depression is scarce. We examined job strain as a risk factor for clinical depression. METHOD We identified published cohort studies from a systematic literature search in PubMed and PsycNET and obtained 14 cohort studies with unpublished individual-level data from the Individual-Participant-Data Meta-analysis in Working Populations (IPD-Work) Consortium. Summary estimates of the association were obtained using random-effects models. Individual-level data analyses were based on a pre-published study protocol. RESULTS We included six published studies with a total of 27 461 individuals and 914 incident cases of clinical depression. From unpublished datasets we included 120 221 individuals and 982 first episodes of hospital-treated clinical depression. Job strain was associated with an increased risk of clinical depression in both published [relative risk (RR) = 1.77, 95% confidence interval (CI) 1.47-2.13] and unpublished datasets (RR = 1.27, 95% CI 1.04-1.55). Further individual participant analyses showed a similar association across sociodemographic subgroups and after excluding individuals with baseline somatic disease. The association was unchanged when excluding individuals with baseline depressive symptoms (RR = 1.25, 95% CI 0.94-1.65), but attenuated on adjustment for a continuous depressive symptoms score (RR = 1.03, 95% CI 0.81-1.32). CONCLUSIONS Job strain may precipitate clinical depression among employees. Future intervention studies should test whether job strain is a modifiable risk factor for depression.
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Affiliation(s)
- I. E. H. Madsen
- National Research Centre for the Working
Environment, DK-2100 Copenhagen Ø,
Denmark
| | - S. T. Nyberg
- Finnish Institute of Occupational
Health, FI-00250 Helsinki, Finland
| | | | - J. E. Ferrie
- Department of Epidemiology and Public
Health, University College London, London
WC1E 6BT, UK
- School of Community and Social Medicine,
University of Bristol, Bristol BS8 2PS,
UK
| | - K. Ahola
- Finnish Institute of Occupational
Health, FI-00250 Helsinki, Finland
| | - L. Alfredsson
- Institute of Environmental Medicine,
Karolinska Institutet, SE-171 77 Stockholm,
Sweden
- Centre for Occupational and Environmental
Medicine, Stockholm County Council, SE-104
22 Stockholm, Sweden
| | - G. D. Batty
- Department of Epidemiology and Public
Health, University College London, London
WC1E 6BT, UK
- Centre for Cognitive Ageing and Cognitive
Epidemiology, University of Edinburgh,
Edinburgh EH8 9JZ, UK
- Alzheimer Scotland Dementia Research
Centre, University of Edinburgh, Edinburgh
EH8 9JZ, UK
| | - J. B. Bjorner
- National Research Centre for the Working
Environment, DK-2100 Copenhagen Ø,
Denmark
| | - M. Borritz
- Department of Occupational and Environmental
Medicine, Bispebjerg University Hospital,
DK-2400 Copenhagen, Denmark
| | - H. Burr
- Federal Institute for Occupational Safety and
Health (BAuA), D-10317 Berlin,
Germany
| | - J.-F. Chastang
- INSERM, U1085, Research Institute for
Environmental and Occupational Health (IRSET), Epidemiology in Occupational Health and
Ergonomics (ESTER) Team, F-49000, Angers, France
- University of Angers, Epidemiology in Occupational
Health and Ergonomics (ESTER) Team, F-49000, Angers, France
| | - R. de Graaf
- Netherlands Institute of Mental Health and
Addiction, 3521 VS Utrecht, The
Netherlands
| | - N. Dragano
- Department of Medical Sociology,
University of Düsseldorf, 40225
Düsseldorf, Germany
| | - M. Hamer
- Department of Epidemiology and Public
Health, University College London, London
WC1E 6BT, UK
- National Centre for Sport & Exercise
Medicine, Loughborough University, Loughborough LE11 3TU,
UK
| | - M. Jokela
- Institute of Behavioral Sciences,
University of Helsinki, FI-00014
Helsinki, Finland
| | - A. Knutsson
- Department of Health Sciences,
Mid Sweden University, SE-851 70
Sundsvall, Sweden
| | - M. Koskenvuo
- Department of Public Health,
University of Helsinki, FI-00014
Helsinki, Finland
| | - A. Koskinen
- Finnish Institute of Occupational
Health, FI-00250 Helsinki, Finland
| | - C. Leineweber
- Stress Research Institute, Stockholm
University, SE-106 91 Stockholm,
Sweden
| | - I. Niedhammer
- INSERM, U1085, Research Institute for
Environmental and Occupational Health (IRSET), Epidemiology in Occupational Health and
Ergonomics (ESTER) Team, F-49000, Angers, France
- University of Angers, Epidemiology in Occupational
Health and Ergonomics (ESTER) Team, F-49000, Angers, France
| | - M. L. Nielsen
- Unit of Social Medicine,
Frederiksberg University Hospital, DK-2000
Copenhagen, Denmark
| | - M. Nordin
- Stress Research Institute, Stockholm
University, SE-106 91 Stockholm,
Sweden
- Department of Psychology,
Umeå University, SE-901 87 Umeå,
Sweden
| | - T. Oksanen
- Finnish Institute of Occupational
Health, FI-00250 Helsinki, Finland
| | - J. H. Pejtersen
- The Danish National Centre for Social
Research, DK-1052 Copenhagen,
Denmark
| | - J. Pentti
- Finnish Institute of Occupational
Health, FI-00250 Helsinki, Finland
| | - I. Plaisier
- The Netherlands Institute for Social
Research, 2515 XP The Hague, The
Netherlands
| | - P. Salo
- Finnish Institute of Occupational
Health, FI-00250 Helsinki, Finland
- Department of Psychology,
University of Turku, FI-20014 Turku,
Finland
| | - A. Singh-Manoux
- Department of Epidemiology and Public
Health, University College London, London
WC1E 6BT, UK
- Inserm U1018, Centre for
Research in Epidemiology and Population Health, F-94807
Villejuif, France
| | - S. Suominen
- Folkhälsan Research Center,
FI-00290 Helsinki, Finland
- Nordic School of Public Health,SE-402 42Göteborg, Sweden
- Department of Public Health,
University of Turku, FI-20014 Turku,
Finland
| | - M. ten Have
- Netherlands Institute of Mental Health and
Addiction, 3521 VS Utrecht, The
Netherlands
| | - T. Theorell
- Stress Research Institute, Stockholm
University, SE-106 91 Stockholm,
Sweden
| | | | - J. Vahtera
- Finnish Institute of Occupational
Health, FI-00250 Helsinki, Finland
- Department of Public Health,
University of Turku, FI-20014 Turku,
Finland
- Turku University Hospital,
FI-20520 Turku, Finland
| | - A. Väänänen
- Finnish Institute of Occupational
Health, FI-00250 Helsinki, Finland
| | - P. J. M. Westerholm
- Occupational and Environmental
Medicine, Uppsala University, SE-751 85
Uppsala, Sweden
| | - H. Westerlund
- Stress Research Institute, Stockholm
University, SE-106 91 Stockholm,
Sweden
| | - E. I. Fransson
- Stress Research Institute, Stockholm
University, SE-106 91 Stockholm,
Sweden
- Institute of Environmental Medicine,
Karolinska Institutet, SE-171 77 Stockholm,
Sweden
- School of Health and Welfare,
Jönköping University, SE-551 11
Jönköping, Sweden
| | - K. Heikkilä
- Finnish Institute of Occupational
Health, FI-00250 Helsinki, Finland
- Department of Health Services Research and
Policy, London School of Hygiene and Tropical
Medicine, London WC1H 9SH, UK
- Clinical Effectiveness Unit,
The Royal College of Surgeons of England, London
WC2A 3PE, UK
| | - M. Virtanen
- Finnish Institute of Occupational
Health, FI-00250 Helsinki, Finland
| | - R. Rugulies
- National Research Centre for the Working
Environment, DK-2100 Copenhagen Ø,
Denmark
- Department of Public Health and Department of
Psychology, University of Copenhagen,
DK-1353 Copenhagen, Denmark
| | - M. Kivimäki
- Finnish Institute of Occupational
Health, FI-00250 Helsinki, Finland
- Department of Epidemiology and Public
Health, University College London, London
WC1E 6BT, UK
- Clinicum, Faculty of Medicine,
University of Helsinki, FI-00014 Helsinki,Finland
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3
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Mortensen J, Clark AJ, Lange T, Andersen GS, Goldberg M, Ramlau-Hansen CH, Head J, Kivimäki M, Madsen IEH, Leineweber C, Lund R, Rugulies R, Zins M, Westerlund H, Rod NH. Informal caregiving as a risk factor for type 2 diabetes in individuals with favourable and unfavourable psychosocial work environments: A longitudinal multi-cohort study. Diabetes Metab 2017; 44:38-44. [PMID: 28527866 DOI: 10.1016/j.diabet.2017.04.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2016] [Revised: 03/09/2017] [Accepted: 04/14/2017] [Indexed: 11/18/2022]
Abstract
AIM To examine whether informal caregiving is associated with increased risk of type 2 diabetes (T2D), and whether job strain and social support at work modify the association. METHODS Individual participant's data were pooled from three cohort studies-the French GAZEL study, the Swedish Longitudinal Occupational Survey of Health (SLOSH) and the British Whitehall II study-a total of 21,243 study subjects. Informal caregiving was defined as unpaid care for a closely related person. Job strain was assessed using the demand-control model, and questions on co-worker and supervisor support were combined in a measure of social support at work. Incident T2D was ascertained using registry-based, clinically assessed and self-reported data. RESULTS A total of 1058 participants developed T2D during the up to 10 years of follow-up. Neither informal caregiving (OR: 1.09, 95% CI: 0.92-1.30) nor high job strain (OR: 1.04, 95% CI: 0.86-1.26) were associated with T2D risk, whereas low social support at work was a risk factor for T2D (OR: 1.18, 95% CI: 1.02-1.37). Also, informal caregivers who were also exposed to low social support at work were at higher risk of T2D (OR: 1.40, 95% CI: 1.08-1.82) compared with those who were not informal caregivers and had high social support at work (multiplicative test for interaction, P=0.04; additive test for interaction, synergy index=10). CONCLUSION Informal caregiving was not independently associated with T2D risk. However, low social support at work was a risk factor, and informal caregivers with low social support at work had even higher risks of T2D.
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Affiliation(s)
- J Mortensen
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - A J Clark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - T Lange
- Department of Biostatistics, University of Copenhagen, Copenhagen, Denmark; Center for Statistical Science, Peking University, Peking, China
| | - G S Andersen
- Clinical Epidemiology, Steno Diabetes Center, Gentofte, Denmark
| | - M Goldberg
- Paris Descartes University, Paris, France; INSERM, Population-based Epidemiological Cohorts Unit-UMS 11, Paris, France
| | - C H Ramlau-Hansen
- Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark
| | - J Head
- Department of Epidemiology and Public Health, University College London, London, UK
| | - M Kivimäki
- Department of Epidemiology and Public Health, University College London, London, UK
| | - I E H Madsen
- National Research Centre for the Working Environment, Copenhagen, Denmark
| | - C Leineweber
- Division of Epidemiology, Stress Research Institute, Stockholm University, Stockholm, Sweden
| | - R Lund
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark; Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark
| | - R Rugulies
- National Research Centre for the Working Environment, Copenhagen, Denmark
| | - M Zins
- INSERM, Population-based Epidemiological Cohorts Unit-UMS 11, Paris, France; INSERM, UMR 1168, VIMA, Villejuif, France
| | - H Westerlund
- Division of Epidemiology, Stress Research Institute, Stockholm University, Stockholm, Sweden
| | - N H Rod
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
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4
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Leineweber C, Chungkham HS, Westerlund H, Tishelman C, Lindqvist R. Hospital organizational factors influence work-family conflict in registered nurses: Multilevel modeling of a nation-wide cross-sectional survey in Sweden. Int J Nurs Stud 2013; 51:744-51. [PMID: 24144276 DOI: 10.1016/j.ijnurstu.2013.09.010] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2012] [Revised: 08/28/2013] [Accepted: 09/18/2013] [Indexed: 11/16/2022]
Abstract
BACKGROUND The present shortage of registered nurses (RNs) in many European countries is expected to continue and worsen, which poses a substantial threat to the maintenance of healthcare in this region. Work-family conflict is a known risk factor for turnover and sickness absence. OBJECTIVE This paper empirically examines whether the nurse practice environment is associated with experienced work-family conflict. DESIGN A multilevel model was fit with the individual RN at the 1st, and the hospital department at the 2nd level using cross-sectional RN survey data from the Swedish part of RN4CAST, an EU 7th framework project. The data analyzed here is based on a national sample of 8356 female and 592 male RNs from 369 hospital departments. RESULTS We found that 6% of the variability in work-family conflict experienced by RNs was at the department level. Organizational level factors significantly accounted for most of the variability at this level with two of the work practice environment factors examined, staffing adequacy and nurse involvement in hospital affairs, significantly related to work-family conflict. Due to the design of the study, factors on ward and work group levels could not be analyzed, but are likely to account for additional variance which in the present analysis appears to be on the individual level, with private life factors likely explaining another major part. CONCLUSION These results suggest that higher level organizational factors in health care have a significant impact on the risk of work-family conflict among RNs through their impact on the nurse practice environment. Lower level organizational factors should be investigated in future studies using hierarchical multilevel sampling.
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Affiliation(s)
- C Leineweber
- Stress Research Institute, Stockholm University, SE-106 91 Stockholm, Sweden; Karolinska Institutet, Department of Learning, Informatics, Management and Ethics, Medical Management Center, 171 77 Stockholm, Sweden.
| | - H S Chungkham
- Stress Research Institute, Stockholm University, SE-106 91 Stockholm, Sweden
| | - H Westerlund
- Stress Research Institute, Stockholm University, SE-106 91 Stockholm, Sweden
| | - C Tishelman
- Karolinska Institutet, Department of Learning, Informatics, Management and Ethics, Medical Management Center, 171 77 Stockholm, Sweden; Stockholms Sjukhem Foundation, Research and Development Unit, Stockholm, Sweden
| | - R Lindqvist
- Karolinska Institutet, Department of Learning, Informatics, Management and Ethics, Medical Management Center, 171 77 Stockholm, Sweden
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5
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Nyberg ST, Heikkilä K, Fransson EI, Alfredsson L, De Bacquer D, Bjorner JB, Bonenfant S, Borritz M, Burr H, Casini A, Clays E, Dragano N, Erbel R, Geuskens GA, Goldberg M, Hooftman WE, Houtman IL, Jöckel KH, Kittel F, Knutsson A, Koskenvuo M, Leineweber C, Lunau T, Madsen IEH, Hanson LLM, Marmot MG, Nielsen ML, Nordin M, Oksanen T, Pentti J, Rugulies R, Siegrist J, Suominen S, Vahtera J, Virtanen M, Westerholm P, Westerlund H, Zins M, Ferrie JE, Theorell T, Steptoe A, Hamer M, Singh-Manoux A, Batty GD, Kivimäki M. Job strain in relation to body mass index: pooled analysis of 160 000 adults from 13 cohort studies. J Intern Med 2012; 272:65-73. [PMID: 22077620 PMCID: PMC3437471 DOI: 10.1111/j.1365-2796.2011.02482.x] [Citation(s) in RCA: 107] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND Evidence of an association between job strain and obesity is inconsistent, mostly limited to small-scale studies, and does not distinguish between categories of underweight or obesity subclasses. OBJECTIVES To examine the association between job strain and body mass index (BMI) in a large adult population. METHODS We performed a pooled cross-sectional analysis based on individual-level data from 13 European studies resulting in a total of 161 746 participants (49% men, mean age, 43.7 years). Longitudinal analysis with a median follow-up of 4 years was possible for four cohort studies (n = 42 222). RESULTS A total of 86 429 participants were of normal weight (BMI 18.5-24.9 kg m(-2) ), 2149 were underweight (BMI < 18.5 kg m(-2) ), 56 572 overweight (BMI 25.0-29.9 kg m(-2) ) and 13 523 class I (BMI 30-34.9 kg m(-2) ) and 3073 classes II/III (BMI ≥ 35 kg m(-2) ) obese. In addition, 27 010 (17%) participants reported job strain. In cross-sectional analyses, we found increased odds of job strain amongst underweight [odds ratio 1.12, 95% confidence interval (CI) 1.00-1.25], obese class I (odds ratio 1.07, 95% CI 1.02-1.12) and obese classes II/III participants (odds ratio 1.14, 95% CI 1.01-1.28) as compared with participants of normal weight. In longitudinal analysis, both weight gain and weight loss were related to the onset of job strain during follow-up. CONCLUSIONS In an analysis of European data, we found both weight gain and weight loss to be associated with the onset of job strain, consistent with a 'U'-shaped cross-sectional association between job strain and BMI. These associations were relatively modest; therefore, it is unlikely that intervention to reduce job strain would be effective in combating obesity at a population level.
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Affiliation(s)
- S T Nyberg
- Finnish Institute of Occupational Health, Helsinki,
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