Literature DB >> 24415615

Worked to death? A census-based longitudinal study of the relationship between the numbers of hours spent working and mortality risk.

Dermot O'Reilly1, Michael Rosato.   

Abstract

BACKGROUND: There has been an increasing interest in the health effects of long working hours, but little empirical evidence to substantiate early case series suggesting an increased mortality risk. The aim of the current study is to quantify the mortality risk associated with long working hours and to see if this varies by employment relations and conditions of occupation.
METHODS: A census-based longitudinal study of 414 949 people aged 20-59/64 years, working at least 35 h/week, subdivided into four occupational classes (managerial/professional, intermediate, own account workers, workers in routine occupations) with linkage to deaths records over the following 8.7 years. Cox proportional hazards models were used to examine all-cause and cause-specific mortality risk.
RESULTS: Overall 9.4% of the cohort worked 55 or more h/week, but this proportion was greater in the senior management and professional occupations and in those who were self-employed. Analysis of 4447 male and 1143 female deaths showed that hours worked were associated with an increased risk of all-cause mortality only for men working for more than 55 or more h/week in routine/semi-routine occupations [adjusted hazard ratios (adjHR) 1.31: 95% confidence interval (CI) 1.11, 1.55] compared with their peers working 35-40 h/week. Their equivalent risk of death from cardiovascular disease was (adjHR 1.49: 95% CI 1.10, 2.00).
CONCLUSIONS: These findings substantiate and add to the earlier studies indicating the deleterious impact of long working hours but also suggest that the effects are moderated by employment relations or conditions of occupation. The policy implications of these findings are discussed.

Entities:  

Keywords:  Hours worked; longitudinal study; mortality

Mesh:

Year:  2013        PMID: 24415615     DOI: 10.1093/ije/dyt211

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  21 in total

1.  Long working hours and depressive symptoms: moderating effects of gender, socioeconomic status, and job resources.

Authors:  Kanami Tsuno; Ichiro Kawachi; Akiomi Inoue; Saki Nakai; Takumi Tanigaki; Hikaru Nagatomi; Norito Kawakami
Journal:  Int Arch Occup Environ Health       Date:  2019-03-12       Impact factor: 3.015

2.  Long working hours, socioeconomic status, and the risk of incident type 2 diabetes: a meta-analysis of published and unpublished data from 222 120 individuals.

Authors:  Mika Kivimäki; Marianna Virtanen; Ichiro Kawachi; Solja T Nyberg; Lars Alfredsson; G David Batty; Jakob B Bjorner; Marianne Borritz; Eric J Brunner; Hermann Burr; Nico Dragano; Jane E Ferrie; Eleonor I Fransson; Mark Hamer; Katriina Heikkilä; Anders Knutsson; Markku Koskenvuo; Ida E H Madsen; Martin L Nielsen; Maria Nordin; Tuula Oksanen; Jan H Pejtersen; Jaana Pentti; Reiner Rugulies; Paula Salo; Johannes Siegrist; Andrew Steptoe; Sakari Suominen; Töres Theorell; Jussi Vahtera; Peter J M Westerholm; Hugo Westerlund; Archana Singh-Manoux; Markus Jokela
Journal:  Lancet Diabetes Endocrinol       Date:  2014-09-25       Impact factor: 32.069

3.  Long working hours and cardiovascular mortality: a census-based cohort study.

Authors:  Gianfranco Alicandro; Paola Bertuccio; Gabriella Sebastiani; Carlo La Vecchia; Luisa Frova
Journal:  Int J Public Health       Date:  2020-04-17       Impact factor: 3.380

4.  The Identification of a Threshold of Long Work Hours for Predicting Elevated Risks of Adverse Health Outcomes.

Authors:  Sadie H Conway; Lisa A Pompeii; David Gimeno Ruiz de Porras; Jack L Follis; Robert E Roberts
Journal:  Am J Epidemiol       Date:  2017-07-15       Impact factor: 4.897

5.  The effect of exposure to long working hours on ischaemic heart disease: A systematic review and meta-analysis from the WHO/ILO Joint Estimates of the Work-related Burden of Disease and Injury.

Authors:  Jian Li; Frank Pega; Yuka Ujita; Chantal Brisson; Els Clays; Alexis Descatha; Marco M Ferrario; Lode Godderis; Sergio Iavicoli; Paul A Landsbergis; Maria-Inti Metzendorf; Rebecca L Morgan; Daniela V Pachito; Hynek Pikhart; Bernd Richter; Mattia Roncaioli; Reiner Rugulies; Peter L Schnall; Grace Sembajwe; Xavier Trudel; Akizumi Tsutsumi; Tracey J Woodruff; Johannes Siegrist
Journal:  Environ Int       Date:  2020-06-05       Impact factor: 9.621

6.  Work Exposures and Development of Cardiovascular Diseases: A Systematic Review.

Authors:  Christian Moretti Anfossi; Magdalena Ahumada Muñoz; Christian Tobar Fredes; Felipe Pérez Rojas; Jamie Ross; Jenny Head; Annie Britton
Journal:  Ann Work Expo Health       Date:  2022-07-02       Impact factor: 2.779

7.  The effect of long working hours on 10-year risk of coronary heart disease and stroke in the Korean population: the Korea National Health and Nutrition Examination Survey (KNHANES), 2007 to 2013.

Authors:  Dong-Wook Lee; Yun-Chul Hong; Kyoung-Bok Min; Tae-Shik Kim; Min-Seok Kim; Mo-Yeol Kang
Journal:  Ann Occup Environ Med       Date:  2016-11-15

8.  Work-related psychosocial factors and onset of metabolic syndrome among workers: a systematic review and meta-analysis protocol.

Authors:  Asuka Sakuraya; Kazuhiro Watanabe; Norito Kawakami; Kotaro Imamura; Emiko Ando; Yumi Asai; Hisashi Eguchi; Yuka Kobayashi; Norimitsu Nishida; Hideaki Arima; Akihito Shimazu; Akizumi Tsutsumi
Journal:  BMJ Open       Date:  2017-06-22       Impact factor: 2.692

9.  Non-standard employment and mortality in Belgian workers: A census-based investigation.

Authors:  Rebeka Balogh; Sylvie Gadeyne; Christophe Vanroelen
Journal:  Scand J Work Environ Health       Date:  2020-11-04       Impact factor: 5.024

10.  Mortality differences between self-employed and paid employees: a 5-year follow-up study of the working population in Sweden.

Authors:  Susanna Toivanen; Rosane Härter Griep; Christin Mellner; Stig Vinberg; Sandra Eloranta
Journal:  Occup Environ Med       Date:  2016-07-21       Impact factor: 4.402

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