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Cho SS, Ki M, Kim KH, Ju YS, Paek D, Lee W. Working hours and self-rated health over 7 years: gender differences in a Korean longitudinal study. BMC Public Health 2015; 15:1287. [PMID: 26701111 PMCID: PMC4690406 DOI: 10.1186/s12889-015-2641-1] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2015] [Accepted: 12/17/2015] [Indexed: 11/26/2022] Open
Abstract
Background To investigate the association between long working hours and self-rated health (SRH), examining the roles of potential confounding and mediating factors, such as job characteristics. Methods Data were pooled from seven waves (2005–2011) of the Korean Labour and Income Panel Study. A total of 1578 workers who consecutively participated in all seven study years were available for analysis. A generalized estimating equation for repeated measures with binary outcome was used to examine the association between working hours (five categories; 20–35, 36–40, 41–52, 53–68 and ≥69 h) and SRH (two categories; poor and good health), considering possible confounders and serial correlation. Results Associations between working hours and SRH were observed among women, but only for the category of the shortest working hours among men. The associations with the category of shortest working hours among men and women disappeared after adjustment for socioeconomic factors. Among women, though not men, working longer than standard hours (36–40 h) showed a linear association with poor health; OR = 1.41 (95 % CI = 1.08–1.84) for 52–68 working hours and OR = 2.11 (95 % CI = 1.42–3.12) for ≥69 working hours. This association persisted after serial adjustments. However, it was substantially attenuated with the addition of socioeconomic factors (e.g., OR = 1.66 (95 % CI = 1.07–2.57)) but only slightly attenuated with further adjustment for behavioural factors (e.g., OR = 1.63 (95 % CI = 1.05–2.53)). The associations with job satisfaction were significant for men and women. Conclusions The worsening of SRH with increasing working hours only among women suggests that female workers are more vulnerable to long working hours because of family responsibilities in addition to their workload. Electronic supplementary material The online version of this article (doi:10.1186/s12889-015-2641-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Seong-Sik Cho
- Department of Occupational and Environmental Health, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, South Korea. .,Department of Occupational and Environmental Medicine, Konkuk University Chungju Hospital, 82 Gukweondae-ro Chungju, Chungbuk, South Korea.
| | - Myung Ki
- Department of Preventive Medicine, School of Medicine, Eulji University, 143-5, Yongdu-dong, Jung-gu, Daejeon, South Korea.
| | - Keun-Hoe Kim
- Department of Occupational and Environmental Medicine, Cheongju Medical Center, 48 Heungdeok-ro, Seowon-gu, Cheongju city, Chungbuk, South Korea.
| | - Young-Su Ju
- Department of Occupational and Environmental Medicine, Hallym University Sacred Heart Hospital, 22 Gwanpyeong-ro 170 beon-gil, Dongan-gu, Anyang, Kyeonggi, South Korea.
| | - Domyung Paek
- Department of Occupational and Environmental Health, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, South Korea.
| | - Wonyun Lee
- Department of Preventive Medicine, School of Medicine, Eulji University, 143-5, Yongdu-dong, Jung-gu, Daejeon, South Korea.
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Kivimäki M, Jokela M, Nyberg ST, Singh-Manoux A, Fransson EI, Alfredsson L, Bjorner JB, Borritz M, Burr H, Casini A, Clays E, De Bacquer D, Dragano N, Erbel R, Geuskens GA, Hamer M, Hooftman WE, Houtman IL, Jöckel KH, Kittel F, Knutsson A, Koskenvuo M, Lunau T, Madsen IEH, Nielsen ML, Nordin M, Oksanen T, Pejtersen JH, Pentti J, Rugulies R, Salo P, Shipley MJ, Siegrist J, Steptoe A, Suominen SB, Theorell T, Vahtera J, Westerholm PJM, Westerlund H, O'Reilly D, Kumari M, Batty GD, Ferrie JE, Virtanen M. 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. Lancet 2015; 386:1739-46. [PMID: 26298822 DOI: 10.1016/s0140-6736(15)60295-1] [Citation(s) in RCA: 394] [Impact Index Per Article: 43.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Long working hours might increase the risk of cardiovascular disease, but prospective evidence is scarce, imprecise, and mostly limited to coronary heart disease. We aimed to assess long working hours as a risk factor for incident coronary heart disease and stroke. METHODS We identified published studies through a systematic review of PubMed and Embase from inception to Aug 20, 2014. We obtained unpublished data for 20 cohort studies from the Individual-Participant-Data Meta-analysis in Working Populations (IPD-Work) Consortium and open-access data archives. We used cumulative random-effects meta-analysis to combine effect estimates from published and unpublished data. FINDINGS We included 25 studies from 24 cohorts in Europe, the USA, and Australia. The meta-analysis of coronary heart disease comprised data for 603,838 men and women who were free from coronary heart disease at baseline; the meta-analysis of stroke comprised data for 528,908 men and women who were free from stroke at baseline. Follow-up for coronary heart disease was 5·1 million person-years (mean 8·5 years), in which 4768 events were recorded, and for stroke was 3·8 million person-years (mean 7·2 years), in which 1722 events were recorded. In cumulative meta-analysis adjusted for age, sex, and socioeconomic status, compared with standard hours (35-40 h per week), working long hours (≥55 h per week) was associated with an increase in risk of incident coronary heart disease (relative risk [RR] 1·13, 95% CI 1·02-1·26; p=0·02) and incident stroke (1·33, 1·11-1·61; p=0·002). The excess risk of stroke remained unchanged in analyses that addressed reverse causation, multivariable adjustments for other risk factors, and different methods of stroke ascertainment (range of RR estimates 1·30-1·42). We recorded a dose-response association for stroke, with RR estimates of 1·10 (95% CI 0·94-1·28; p=0·24) for 41-48 working hours, 1·27 (1·03-1·56; p=0·03) for 49-54 working hours, and 1·33 (1·11-1·61; p=0·002) for 55 working hours or more per week compared with standard working hours (ptrend<0·0001). INTERPRETATION Employees who work long hours have a higher risk of stroke than those working standard hours; the association with coronary heart disease is weaker. These findings suggest that more attention should be paid to the management of vascular risk factors in individuals who work long hours. FUNDING Medical Research Council, Economic and Social Research Council, European Union New and Emerging Risks in Occupational Safety and Health research programme, Finnish Work Environment Fund, Swedish Research Council for Working Life and Social Research, German Social Accident Insurance, Danish National Research Centre for the Working Environment, Academy of Finland, Ministry of Social Affairs and Employment (Netherlands), US National Institutes of Health, British Heart Foundation.
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Affiliation(s)
- Mika Kivimäki
- Department of Epidemiology and Public Health, University College London, London, UK; Faculty of Medicine, University of Helsinki, Helsinki, Finland.
| | - Markus Jokela
- Institute of Behavioral Sciences, University of Helsinki, Helsinki, Finland
| | - Solja T Nyberg
- Finnish Institute of Occupational Health, Helsinki, Tampere and Turku, Finland
| | - Archana Singh-Manoux
- Department of Epidemiology and Public Health, University College London, London, UK; Inserm U1018, Centre for Research in Epidemiology and Population Health, Villejuif, France
| | - Eleonor I Fransson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; School of Health Sciences, Jönköping University, Jönköping, Sweden; Stress Research Institute, Stockholm University, Stockholm, Sweden
| | - Lars Alfredsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - Jakob B Bjorner
- National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Marianne Borritz
- Department of Occupational Medicine, Koege Hospital, Copenhagen, Denmark
| | - Hermann Burr
- Federal Institute for Occupational Safety and Health (BAuA), Berlin, Germany
| | - Annalisa Casini
- School of Public Health, Université libre de Bruxelles (ULB), Brussels, Belgium
| | - Els Clays
- Department of Public Health, Ghent University, Ghent, Belgium
| | - Dirk De Bacquer
- Department of Public Health, Ghent University, Ghent, Belgium
| | - Nico Dragano
- Institute for Medical Sociology, Medical Faculty, University of Düsseldorf, Düsseldorf, Germany
| | - Raimund Erbel
- Department of Cardiology, West-German Heart Center Essen, University Duisburg-Essen, Essen, Germany
| | | | - Mark Hamer
- Department of Epidemiology and Public Health, University College London, London, UK
| | | | | | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry, and Epidemiology, Faculty of Medicine, University Duisburg-Essen, Essen, Germany
| | - France Kittel
- School of Public Health, Université libre de Bruxelles (ULB), Brussels, Belgium
| | - Anders Knutsson
- Department of Health Sciences, Mid Sweden University, Sundsvall, Sweden
| | - Markku Koskenvuo
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Thorsten Lunau
- Institute for Medical Sociology, Medical Faculty, University of Düsseldorf, Düsseldorf, Germany
| | - Ida E H Madsen
- National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Martin L Nielsen
- Unit of Social Medicine, Frederiksberg University Hospital, Copenhagen, Denmark
| | - Maria Nordin
- Stress Research Institute, Stockholm University, Stockholm, Sweden; Department of Psychology, Umeå University, Umeå, Sweden
| | - Tuula Oksanen
- Finnish Institute of Occupational Health, Helsinki, Tampere and Turku, Finland
| | - Jan H Pejtersen
- The Danish National Centre for Social Research, Copenhagen, Denmark
| | - Jaana Pentti
- Finnish Institute of Occupational Health, Helsinki, Tampere and Turku, Finland
| | - Reiner Rugulies
- National Research Centre for the Working Environment, Copenhagen, Denmark; Department of Public Health and Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Paula Salo
- Finnish Institute of Occupational Health, Helsinki, Tampere and Turku, Finland; Department of Psychology, University of Turku, Turku, Finland
| | - Martin J Shipley
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Johannes Siegrist
- Institute for Medical Sociology, Medical Faculty, University of Düsseldorf, Düsseldorf, Germany
| | - Andrew Steptoe
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Sakari B Suominen
- Department of Public Health, University of Turku, Turku, Finland; Folkhälsan Research Center, Helsinki, Finland; University of Skövde, Skövde, Sweden
| | - Töres Theorell
- Stress Research Institute, Stockholm University, Stockholm, Sweden
| | - Jussi Vahtera
- Finnish Institute of Occupational Health, Helsinki, Tampere and Turku, Finland; Department of Public Health, University of Turku, Turku, Finland; Turku University Hospital, Turku, Finland
| | | | - Hugo Westerlund
- Stress Research Institute, Stockholm University, Stockholm, Sweden
| | - Dermot O'Reilly
- Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - Meena Kumari
- Department of Epidemiology and Public Health, University College London, London, UK; Institute for Social and Economic Research, University of Essex, Colchester, UK
| | - G David Batty
- Department of Epidemiology and Public Health, University College London, London, UK; Centre for Cognitive Ageing and Cognitive Epidemiology and Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - Jane E Ferrie
- Department of Epidemiology and Public Health, University College London, London, UK; School of Community and Social Medicine, University of Bristol, Bristol, UK
| | - Marianna Virtanen
- Finnish Institute of Occupational Health, Helsinki, Tampere and Turku, Finland
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Mackay MH, Ratner PA, Nguyen M, Percy M, Galdas P, Grunau G. Inconsistent measurement of acute coronary syndrome patients' pre-hospital delay in research: a review of the literature. Eur J Cardiovasc Nurs 2014; 13:483-93. [PMID: 24532675 DOI: 10.1177/1474515114524866] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND Patients' treatment-seeking delay remains a significant barrier to timely initiation of reperfusion therapy. Measurement of treatment-seeking delay is central to the large body of research that has focused on pre-hospital delay (PHD), which is primarily patient-related. This research has aimed to quantify PHD and its effects on morbidity and mortality, identify contributing factors, and evaluate interventions to reduce such delay. A definite time of symptom onset in acute coronary syndrome (ACS) is essential for determining delay, but difficult to establish. This literature review aimed to explore the variety of operational definitions of both PHD and symptom onset in published research. METHODS AND RESULTS We reviewed the English-language literature from 1998-2013 for operational definitions of PHD and symptom onset. Of 626 papers of possible interest, 175 were deemed relevant. Ninety-seven percent reported a delay time and 84% provided an operational definition of PHD. Three definitions predominated: (a) symptom onset to decision to seek help (18%); (b) symptom onset to hospital arrival (67%), (c) total delay, incorporating two or more intervals (11%). Of those that measured delay, 8% provided a definition of which symptoms triggered the start of timing. CONCLUSION We found few and variable operational definitions of PHD, despite American College of Cardiology/American Heart Association recommendations to report specific intervals. Worryingly, definitions of symptom onset, the most elusive component of PHD to establish, are uncommon. We recommend that researchers (a) report two PHD delay intervals (onset to decision to seek care, and decision to seek care to hospital arrival), and (b) develop, validate and use a definition of symptom onset. This will increase clarity and confidence in the conclusions from, and comparisons within and between studies.
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Affiliation(s)
- Martha H Mackay
- School of Nursing, University of British Columbia, Canada St. Paul's Hospital (Providence Health Care), Vancouver, Canada
| | | | - Michelle Nguyen
- St. Paul's Hospital (Providence Health Care), Vancouver, Canada
| | | | | | - Gilat Grunau
- School of Nursing, University of British Columbia, Canada
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Kim BJ, Lee SH, Ryu WS, Kim CK, Chung JW, Kim D, Park HK, Bae HJ, Park BJ, Yoon BW. Excessive work and risk of haemorrhagic stroke: a nationwide case-control study. Int J Stroke 2012; 8 Suppl A100:56-61. [PMID: 23227896 DOI: 10.1111/j.1747-4949.2012.00949.x] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
BACKGROUND Adverse effect of excessive work on health has been suggested previously, but it was not documented in cerebrovascular diseases. AIM The authors investigated whether excessive working conditions would associate with increased risk of haemorrhagic stroke. METHODS A nationwide matched case-control study database, which contains 940 cases of incident haemorrhagic stroke (498 intracerebral haemorrhages and 442 sub-arachnoid haemorrhages) with 1880 gender- and age- (± 5-year) matched controls, was analysed. Work-related information based on the regular job situation, including type of occupation, regular working time, duration of strenuous activity during regular work and shift work, was gathered through face-to-face interviews. Conditional logistic regression analyses were used for the multivariable analyses. RESULTS Compared with white-collar workers, blue-collar workers had a higher risk for haemorrhagic stroke (odds ratio, 1.33 [95% confidence interval, 1.06-1.66]). Longer regular working time was associated with increased risk of haemorrhagic stroke [odds ratio, 1.38 (95% confidence interval, 1.05-1.81) for 8-12 h/day; odds ratio, 1.95 (95% confidence interval, 1.33-2.86) for ≥ 13 h/day; compared with ≤ 4 h/day]. Exposure to ≥ 8 h/week of strenuous activity also associated haemorrhagic stroke risk [odds ratio, 1.61 (95% confidence interval, 1.26-2.05); compared with no strenuous activity]. Shift work was not associated with haemorrhagic stroke (P = 0.98). Positive associations between working condition indices and haemorrhagic stroke risk were consistent regardless of haemorrhagic stroke sub-types and current employment status. CONCLUSIONS Blue-collar occupation, longer regular working time and extended duration of strenuous activity during work may relate to an increased risk of haemorrhagic stroke.
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Affiliation(s)
- Beom Joon Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seongnam-si, Gyunggi-do, Republic of Korea; Department of Neurology, Clinical Research Centre for Stroke, Seoul National University Hospital, Seoul, Republic of Korea
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