Long working hours, socioeconomic status, and the risk of incident type 2 diabetes: A meta-analysis of published and unpublished data from 222120 individuals

The Lancet Diabetes and Endocrinology

Volumn 3, Issue 1, 2015, Pages 27-34

  Kivimäki, Mika ^a,b   Virtanen, Marianna ^c   Kawachi, Ichiro ^d   Nyberg, Solja T ^c   Alfredsson, Lars ^e,f   Batty, G David ^a,g   Bjorner, Jakob B ^h   Borritz, Marianne ⁱ   Brunner, Eric J ^a   Burr, Hermann ^j   Dragano, Nico ^k   Ferrie, Jane E ^a,l   Fransson, Eleonor I ^f,m,n   Hamer, Mark ^a   Heikkilä, Katriina ^c,o   Knutsson, Anders ^p   Koskenvuo, Markku ^b   Madsen, Ida E H ^h   Nielsen, Martin L ⁱ   Nordin, Maria ^q   Oksanen, Tuula ^c   Pejtersen, Jan H ^r   Pentti, Jaana ^c   Rugulies, Reiner ^h,s   Salo, Paula ^c,t   Siegrist, Johannes ^k   Steptoe, Andrew ^a   Suominen, Sakari ^t,u,v   Theorell, Töres ⁿ   Vahtera, Jussi ^c,t,w   Westerholm, Peter J M ^x   Westerlund, Hugo ⁿ   Singh Manoux, Archana ^a,y   Jokela, Markus ^b   more..

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF HELSINKI   (Finland)

^c FINNISH INSTITUTE OF OCCUPATIONAL HEALTH   (Finland)

^d HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^e STOCKHOLM COUNTY COUNCIL   (Sweden)

^f KAROLINSKA INSTITUTE   (Sweden)

^g UNIVERSITY OF EDINBURGH   (United Kingdom)

^h NATIONAL RESEARCH CENTRE FOR THE WORKING ENVIRONMENT   (Denmark)

ⁱ BISPEBJERG HOSPITAL   (Denmark)

^j FEDERAL INSTITUTE FOR OCCUPATIONAL SAFETY AND HEALTH   (Germany)

^k HEINRICH HEINE UNIVERSITY   (Germany)

^l UNIVERSITY OF BRISTOL   (United Kingdom)

^m JÖNKÖPING UNIVERSITY   (Sweden)

ⁿ STOCKHOLM UNIVERSITY   (Sweden)

^o TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

^p MID SWEDEN UNIVERSITY   (Sweden)

^q UMEÅ UNIVERSITY   (Sweden)

^r VIVE THE DANISH CENTER FOR SOCIAL SCIENCE RESEARCH   (Denmark)

^s UNIVERSITY OF COPENHAGEN   (Denmark)

^t UNIVERSITY OF TURKU   (Finland)

^u FOLKHÄLSAN RESEARCH CENTER   (Finland)

^v NORDIC SCHOOL OF PUBLIC HEALTH   (Sweden)

^w TURKU UNIVERSITY HOSPITAL   (Finland)

^x UPPSALA UNIVERSITY   (Sweden)

^y CENTRE FOR RESEARCH IN EPIDEMIOLOGY AND POPULATION HEALTH   (France)

more..

Author keywords

[No Author keywords available]

Indexed keywords

AGE; ARTICLE; COHORT ANALYSIS; DISEASE PREDISPOSITION; GENDER; HIGH RISK POPULATION; HUMAN; INCIDENCE; NON INSULIN DEPENDENT DIABETES MELLITUS; OBESITY; PHYSICAL ACTIVITY; PRIORITY JOURNAL; PROSPECTIVE STUDY; PUBLICATION; RISK ASSESSMENT; RISK FACTOR; SHIFT WORKER; SOCIAL STATUS; WORKING TIME; ADULT; DIABETES MELLITUS, TYPE 2; FEMALE; MALE; META ANALYSIS; MIDDLE AGED; SOCIAL CLASS; WORK SCHEDULE;

ADULT; DIABETES MELLITUS, TYPE 2; FEMALE; HUMANS; INCIDENCE; MALE; MIDDLE AGED; RISK FACTORS; SOCIAL CLASS; WORK SCHEDULE TOLERANCE;

EID: 84926636722     PISSN: 22138587     EISSN: 22138595     Source Type: Journal    
DOI: 10.1016/S2213-8587(14)70178-0     Document Type: Article

References (40)

1. Murray CJL, Vos T, Lozano R, et al. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012, 380:2197-2223.
2. Shaw JE, Sicree RA, Zimmet PZ Global estimates of the prevalence of diabetes for 2010 and 2030. Diab Res Clin Pract 2010, 87:4-14.
3. Härmä M Workhours in relation to work stress, recovery and health. Scand J Work Environ Health 2006, 32:502-514.
4. Virtanen M, Heikkilä K, Jokela M, et al. Long working hours and coronary heart disease: a systematic review and meta-analysis. Am J Epidemiol 2012, 176:586-596.
5. O'Reilly D, Rosato M Worked to death? A census-based longitudinal study of the relationship between the numbers of hours spent working and mortality risk. Int J Epidemiol 2013, 42:1820-1830.
6. Kawakami N, Araki S, Takatsuka N, Shimizu H, Ishibashi H Overtime, psychosocial working conditions, and occurrence of non-insulin dependent diabetes mellitus in Japanese men. J Epidemiol Community Health 1999, 53:359-363.
7. Nakanishi N, Nishina K, Yoshida H, et al. Hours of work and the risk of developing impaired fasting glucose or type 2 diabetes mellitus in Japanese male office workers. Occup Environ Med 2001, 58:569-574.
8. Kroenke CH, Spiegelman D, Manson J, Schernhammer ES, Colditz GA, Kawachi I Work characteristics and incidence of type 2 diabetes in women. Am J Epidemiol 2007, 165:175-183.
9. Eriksson AK, van den Donk M, Hilding A, Ostenson CG Work stress, sense of coherence, and risk of type 2 diabetes in a prospective study of middle-aged Swedish men and women. Diabetes Care 2013, 36:2683-2689.
10. Moher D, Liberati A, Tetzlaff J, Altman DG Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ 2009, 339:b2535.
11. House JS, Lantz PM, Herd P Continuity and change in the social stratification of aging and health over the life course: evidence from a nationally representative longitudinal study from 1986 to 2001/2002 (Americans' Changing Lives Study). J Gerontol B Psychol Sci Soc Sci 2005, 60:15-26.
12. Berkman L, Breslow L Health and ways of living: the Alameda County Study 1983, Oxford University Press, New York.
13. Madans JH, Kleinman JC, Cox CS, et al. 10 years after NHANES I: report of initial followup, 1982-84. Public Health Rep 1986, 101:465-473.
14. Brim OF, Ryff CD How healthy are we? A national study of well-being at mid-life 2004, University of Chicago Press, Chicago.
15. Sewell WH, Houser R Education, occupation, and earnings: achievement in the early career 1975, Academic Press, New York.
16. Hauser RM, Sewell WH Birth order and educational attainment in full sibships. Am Educ Res J 1985, 22:1-23.
17. Coxon APM Sample design issues in a panel survey: the case of the British Household Panel Study 1991, Institute for Social and Economic Research, Essex.
18. Power C, Elliott J Cohort profile: 1958 British birth cohort (National Child Development Study). Int J Epidemiol 2006, 35:34-41.
19. Elliott J, Shepherd P Cohort profile: 1970 British Birth Cohort (BCS70). Int J Epidemiol 2006, 35:836-843.
20. McFall SL, Buck N. Understanding Society-the UK household longitudinal survey: a resource for demographers. Netherlands, 2013.
21. Butterworth P, Crosier T The validity of the SF-36 in an Australian National Household Survey: demonstrating the applicability of the Household Income and Labour Dynamics in Australia (HILDA) Survey to examination of health inequalities. BMC Public Health 2004, 4:44.
22. Kivimäki M, Nyberg ST, Batty GD, et al. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet 2012, 380:1491-1497. for the IPD-Work Consortium.
23. Marmot MG, Stansfeld S, Patel C, et al. Health inequalities among British civil servants: the Whitehall II study. Lancet 1991, 337:1387-1393.
24. Peter R, Alfredsson L, Hammar N, Siegrist J, Theorell T, Westerholm P High effort, low reward, and cardiovascular risk factors in employed Swedish men and women: baseline results from the WOLF Study. J Epidemiol Community Health 1998, 52:540-547.
25. Alfredsson L, Hammar N, Fransson E, et al. Job strain and major risk factors for coronary heart disease among employed males and females in a Swedish study on work, lipids and fibrinogen. Scand J Work Environ Health 2002, 28:238-248.
26. Kristensen TS, Hannerz H, Hogh A, Borg V The Copenhagen Psychosocial Questionnaire--a tool for the assessment and improvement of the psychosocial work environment. Scand J Work Environ Health 2005, 31:438-449.
27. Pejtersen JH, Kristensen TS, Borg V, Bjorner JB The second version of the Copenhagen Psychosocial Questionnaire. Scand J Public Health 2010, 38(3 suppl):8-24.
28. Korkeila K, Suominen S, Ahvenainen J, et al. Non-response and related factors in a nation-wide health survey. Eur J Epidemiol 2001, 17:991-999.
29. Kivimäki M, Lawlor DA, Davey Smith G, et al. Socioeconomic position, co-occurrence of behavior-related risk factors, and coronary heart disease: the Finnish Public Sector study. Am J Public Health 2007, 97:874-879.
30. Feveile H, Olsen O, Burr H, Bach E Danish Work Environment Cohort Study 2005: from idea to sampling design. Stat Transit 2007, 8:441-458.
31. Kivimäki M, Batty GD, Hublin C Shift work as a risk factor for future type 2 diabetes: evidence, mechanisms, implications, and future research directions. PLoS Med 2011, 8:e1001138.
32. Nyberg ST, Fransson EI, Heikkilä K, et al. Job strain as a risk factor for type 2 diabetes: a pooled analysis of 124808 men and women. Diabetes Care 2014, 37:2268-2275.
33. Definition, diagnosis and classification of diabetes mellitus and its complications 1997, WHO, World Health Organization, Geneva.
34. Higgins JP, Thompson SG, Deeks JJ, Altman DG Measuring inconsistency in meta-analyses. BMJ 2003, 327:557-560.
35. Bannai A, Tamakoshi A The association between long working hours and health: A systematic review of epidemiological evidence. Scand J Work Environ Health 2013, 40:5-18.
36. Cosgrove MP, Sargeant LA, Caleyachetty R, Griffin SJ Work-related stress and type 2 diabetes: systematic review and meta-analysis. Occup Med 2012, 62:167-173.
37. Hanlon EC, Van Cauter E Quantification of sleep behavior and of its impact on the cross-talk between the brain and peripheral metabolism. Proc Natl Acad Sci USA 2011, 108(suppl 3):15609-15616.
38. Cappuccio FP, D'Elia L, Strazzullo P, Miller MA Quantity and quality of sleep and incidence of type 2 diabetes: a systematic review and meta-analysis. Diabetes Care 2010, 33:414-420.
39. Reutrakul S, Van Cauter E Interactions between sleep, circadian function, and glucose metabolism: implications for risk and severity of diabetes. Ann N Y Acad Sci 2014, 1311:151-173.
40. Brotman DJ, Golden SH, Wittstein IS The cardiovascular toll of stress. Lancet 2007, 370:1089-1100.