Long working hours, socioeconomic status, and the risk of incident type 2 diabetes: a meta-analysis of published and unpublished data from 222 120 individuals

نویسندگان

  • 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
چکیده

BACKGROUND Working long hours might have adverse health effects, but whether this is true for all socioeconomic status groups is unclear. In this meta-analysis stratified by socioeconomic status, we investigated the role of long working hours as a risk factor for type 2 diabetes. METHODS We identified four published studies through a systematic literature search of PubMed and Embase up to April 30, 2014. Study inclusion criteria were English-language publication; prospective design (cohort study); investigation of the effect of working hours or overtime work; incident diabetes as an outcome; and relative risks, odds ratios, or hazard ratios (HRs) with 95% CIs, or sufficient information to calculate these estimates. Additionally, we used unpublished individual-level data from 19 cohort studies from the Individual-Participant-Data Meta-analysis in Working-Populations Consortium and international open-access data archives. Effect estimates from published and unpublished data from 222 120 men and women from the USA, Europe, Japan, and Australia were pooled with random-effects meta-analysis. FINDINGS During 1·7 million person-years at risk, 4963 individuals developed diabetes (incidence 29 per 10 000 person-years). The minimally adjusted summary risk ratio for long (≥55 h per week) compared with standard working hours (35-40 h) was 1·07 (95% CI 0·89-1·27, difference in incidence three cases per 10 000 person-years) with significant heterogeneity in study-specific estimates (I(2)=53%, p=0·0016). In an analysis stratified by socioeconomic status, the association between long working hours and diabetes was evident in the low socioeconomic status group (risk ratio 1·29, 95% CI 1·06-1·57, difference in incidence 13 per 10 000 person-years, I(2)=0%, p=0·4662), but was null in the high socioeconomic status group (1·00, 95% CI 0·80-1·25, incidence difference zero per 10 000 person-years, I(2)=15%, p=0·2464). The association in the low socioeconomic status group was robust to adjustment for age, sex, obesity, and physical activity, and remained after exclusion of shift workers. INTERPRETATION In this meta-analysis, the link between longer working hours and type 2 diabetes was apparent only in individuals in the low socioeconomic status groups. FUNDING Medical 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), Economic and Social Research Council, US National Institutes of Health, and British Heart Foundation.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Long working hours can be toxic.

There are complex interconnections of variables such as work hours, occupation type, and socioeconomic status with physiology that can aff ect the risk of diabetes. Results of investigations into associations between long working hours and incident type 2 diabetes have been inconsistent. In The Lancet Diabetes & Endocrinology, Mika Kivimäki and colleagues combine published and unpublished data ...

متن کامل

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

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, 201...

متن کامل

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

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 Sa...

متن کامل

Long working hours and alcohol use: systematic review and meta-analysis of published studies and unpublished individual participant data.

OBJECTIVE To quantify the association between long working hours and alcohol use. DESIGN Systematic review and meta-analysis of published studies and unpublished individual participant data. DATA SOURCES A systematic search of PubMed and Embase databases in April 2014 for published studies, supplemented with manual searches. Unpublished individual participant data were obtained from 27 addi...

متن کامل

Lipoprotein(a) and incident type-2 diabetes: results from the prospective Bruneck study and a meta-analysis of published literature

AIMS We aimed to (1) assess the association between lipoprotein(a) [Lp(a)] concentration and incident type-2 diabetes in the Bruneck study, a prospective population-based study, and (2) combine findings with evidence from published studies in a literature-based meta-analysis. METHODS We used Cox proportional hazards models to calculate hazard ratios (HR) for incident type-2 diabetes over 20 y...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره 3  شماره 

صفحات  -

تاریخ انتشار 2015