Please use this identifier to cite or link to this item:
https://hdl.handle.net/10419/200145
Authors:
Virtanen, Marianna
Jokela, Markus
Madsen, Ida E.H.
Magnusson Hanson, Linda L.
Lallukka, Tea
Nyberg, Solja T.
Alfredsson, Lars
Batty, G. David
Bjorner, Jakob B.
Borritz, Marianne
Burr, Hermann
Dragano, Nico
Erbel, Raimund
Ferrie, Jane E.
Heikkilä, Katriina
Knutsson, Anders
Koskenvuo, Markku
Lahelma, Eero
Nielsen, Martin L.
Oksanen, Tuula
Pejtersen, Jan H.
Pentti, Jaana
Rahkonen, Ossi
Rugulies, Reiner
Salo, Paula
Schupp, Jürgen
Shipley, Martin J.
Siegrist, Johannes
Singh-Manoux, Archana
Suominen, Sakari B.
Theorell, Töres
Vahtera, Jussi
Wagner, Gert G.
Wang, Jian Li
Yiengprugsawan, Vasoontara
Westerlund, Hugo
Kivimäki, Mika
Jokela, Markus
Madsen, Ida E.H.
Magnusson Hanson, Linda L.
Lallukka, Tea
Nyberg, Solja T.
Alfredsson, Lars
Batty, G. David
Bjorner, Jakob B.
Borritz, Marianne
Burr, Hermann
Dragano, Nico
Erbel, Raimund
Ferrie, Jane E.
Heikkilä, Katriina
Knutsson, Anders
Koskenvuo, Markku
Lahelma, Eero
Nielsen, Martin L.
Oksanen, Tuula
Pejtersen, Jan H.
Pentti, Jaana
Rahkonen, Ossi
Rugulies, Reiner
Salo, Paula
Schupp, Jürgen
Shipley, Martin J.
Siegrist, Johannes
Singh-Manoux, Archana
Suominen, Sakari B.
Theorell, Töres
Vahtera, Jussi
Wagner, Gert G.
Wang, Jian Li
Yiengprugsawan, Vasoontara
Westerlund, Hugo
Kivimäki, Mika
Year of Publication:
2018
Citation:
[Journal:] Scandinavian Journal of Work, Environment & Health [ISSN:] 0355-3140 [Issue:] 3 [Publisher:] Nordic Association of Occupational Safety and Health (NOROSH) [Place:] Työterveyslaitos [Year:] 2018 [Pages:] 239-250
Publisher:
Nordic Association of Occupational Safety and Health (NOROSH), Työterveyslaitos
Abstract:
OBJECTIVES: This systematic review and meta-analysis combined published study-level data and unpublished individual-participant data with the aim of quantifying the relation between long working hours and the onset of depressive symptoms. METHODS: We searched PubMed and Embase for published prospective cohort studies and included available cohorts with unpublished individual-participant data. We used a random-effects meta-analysis to calculate summary estimates across studies.RESULTS: We identified ten published cohort studies and included unpublished individual-participant data from 18 studies. In the majority of cohorts, long working hours was defined as working ≥55 hours per week. In multivariable-adjusted meta-analyses of 189 729 participants from 35 countries [96 275 men, 93 454 women, follow-up ranging from 1–5 years, 21 747 new-onset cases), there was an overall association of 1.14 (95% confidence interval (CI) 1.03–1.25] between long working hours and the onset of depressive symptoms, with significant evidence of heterogeneity (I<sup>2</sup>=45.1%, P=0.004). A moderate association between working hours and depressive symptoms was found in Asian countries (1.50, 95% CI 1.13–2.01), a weaker association in Europe (1.11, 95% CI 1.00–1.22), and no association in North America (0.97, 95% CI 0.70–1.34) or Australia (0.95, 95% CI 0.70–1.29). Differences by other characteristics were small. CONCLUSIONS: This observational evidence suggests a moderate association between long working hours and onset of depressive symptoms in Asia and a small association in Europe.</p>
Subjects:
depression
depressive symptom
mental health
meta-analysis
overtime
participant data
psychological distress
systematic review
working hour
working life
working time
depressive symptom
mental health
meta-analysis
overtime
participant data
psychological distress
systematic review
working hour
working life
working time
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Article
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Published Version
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