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01-11-2019 | Diabetes | META-ANALYSIS

A meta-analysis of cohort studies including dose-response relationship between shift work and the risk of diabetes mellitus

Authors: Wenzhen Li, Zhenlong Chen, Wenyu Ruan, Guilin Yi, Dongming Wang, Zuxun Lu

Published in: European Journal of Epidemiology | Issue 11/2019

Abstract

Previous reviews have suggested that shift work is associated with an increased risk of diabetes mellitus (DM); however, the results should be interpreted with caution due to differences in study designs and non-comprehensive literature searches. In addition, the quantitative dose-response relationship between years of shift work and DM risk is still unknown. We aimed to conduct an updated meta-analysis with cohort studies and to evaluate the relationship between the duration of shift work and the risk of DM in a dose-dependent manner. The PubMed and Web of Science databases were searched through 15 August 2019, and multivariate-adjusted relative risks (RRs) were pooled using random-effects models. Restricted cubic spline analysis with three knots was used to explore the relationship of years of shift work and risk of DM. Twelve cohort studies with 28 independent reports involving 244,266 participants and 15,906 DM cases were included. The summarized adjusted RR for the relationship between shift work and DM risk was 1.14 (95% CI 1.10 to 1.19; I² = 38.9%, P = 0.028). The summary RR of a 5-year increase in shift work was 1.07 (95% CI 1.04 to 1.09), without heterogeneity (I²= 0.0%, P = 0.829) for the female population. Shift work is associated with an increased risk of DM, and a strong and highly significant linear dose-response relationship between the duration of shift work and the risk of DM in women was observed. Further studies are needed to confirm the results, establish causality and elucidate the underlying mechanisms.

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Wang XS, Armstrong ME, Cairns BJ, Key TJ, Travis RC. Shift work and chronic disease: the epidemiological evidence. Occup Med. 2011;61(2):78–89. https://doi.org/10.1093/occmed/kqr001.CrossRef

Szosland D. Shift work and metabolic syndrome, diabetes mellitus and ischaemic heart disease. Int J Occup Med Environ Health. 2010;23(3):287–91. https://doi.org/10.2478/v10001-010-0032-5.CrossRefPubMed

Papantoniou K, Devore EE, Massa J, et al. Rotating night shift work and colorectal cancer risk in the nurses’ health studies. Int J Cancer. 2018;143(11):2709–17. https://doi.org/10.1002/ijc.31655.CrossRefPubMedPubMedCentral

Cordina-Duverger E, Menegaux F, Popa A, et al. Night shift work and breast cancer: a pooled analysis of population-based case-control studies with complete work history. Eur J Epidemiol. 2018;33(4):369–79. https://doi.org/10.1007/s10654-018-0368-x.CrossRefPubMed

Wang D, Ruan W, Chen Z, Peng Y, Li W. Shift work and risk of cardiovascular disease morbidity and mortality: a dose-response meta-analysis of cohort studies. Eur J Prevent Cardiol. 2018;25(12):1293–302. https://doi.org/10.1177/2047487318783892.CrossRef

Esquirol Y, Bongard V, Mabile L, Jonnier B, Soulat JM, Perret B. Shift work and metabolic syndrome: respective impacts of job strain, physical activity, and dietary rhythms. Chronobiol Int. 2009;26(3):544–59. https://doi.org/10.1080/07420520902821176.CrossRefPubMed

Bokenberger K, Sjolander A, Dahl Aslan AK, Karlsson IK, Akerstedt T, Pedersen NL. Shift work and risk of incident dementia: a study of two population-based cohorts. Eur J Epidemiol. 2018;33(10):977–87. https://doi.org/10.1007/s10654-018-0430-8.CrossRefPubMedPubMedCentral

Knutsson A, Kempe A. Shift work and diabetes–a systematic review. Chronobiol Int. 2014;31(10):1146–51. https://doi.org/10.3109/07420528.2014.957308.CrossRefPubMed

Gan Y, Yang C, Tong X, et al. Shift work and diabetes mellitus: a meta-analysis of observational studies. Occup Environ Med. 2015;72(1):72–8. https://doi.org/10.1136/oemed-2014-102150.CrossRefPubMed

10.

Teratani T, Morimoto H, Sakata K, et al. Dose-response relationship between tobacco or alcohol consumption and the development of diabetes mellitus in Japanese male workers. Drug Alcohol Depend. 2012;125(3):276–82. https://doi.org/10.1016/j.drugalcdep.2012.03.002.CrossRefPubMed

11.

Oberlinner C, Ott MG, Nasterlack M, et al. Medical program for shift workers–impacts on chronic disease and mortality outcomes. Scand J Work Environ Health. 2009;35(4):309–18.CrossRefPubMed

12.

Stroup DF, Berlin JA, Morton SC, et al. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis of observational studies in epidemiology (MOOSE) group. Jama. 2008;283(15):2008–12.CrossRef

13.

Wells G, Shea B, O’Connell J, et al. The newcastle-ottawa scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses. Oxford, Ottawa, ON: Ottawa Health Research Institute; 2014.

14.

Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327(7414):557–60. https://doi.org/10.1136/bmj.327.7414.557.CrossRefPubMedPubMedCentral

15.

Lau J, Ioannidis JP, Schmid CH. Quantitative synthesis in systematic reviews. Ann Int Med. 1997;127(9):820–6.CrossRefPubMed

16.

Greenland S, Longnecker MP. Methods for trend estimation from summarized dose-response data, with applications to meta-analysis. Am J Epidemiol. 1992;135(11):1301–9.CrossRefPubMed

17.

Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315(7109):629–34.CrossRefPubMedPubMedCentral

18.

Begg CB, Mazumdar M. Operating characteristics of a rank correlation test for publication bias. Biometrics. 1994;50(4):1088–101.CrossRefPubMed

19.

Peters JL, Sutton AJ, Jones DR, Abrams KR, Rushton L. Performance of the trim and fill method in the presence of publication bias and between-study heterogeneity. Stat Med. 2007;26(25):4544–62. https://doi.org/10.1002/sim.2889.CrossRefPubMed

20.

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(2):175–83. https://doi.org/10.1093/aje/kwj355.CrossRefPubMed

21.

Pan A, Schernhammer ES, Sun Q, Hu FB. Rotating night shift work and risk of type 2 diabetes: two prospective cohort studies in women. PLoS Med. 2011;8(12):e1001141. https://doi.org/10.1371/journal.pmed.1001141.CrossRefPubMedPubMedCentral

22.

Jorgensen JT, Karlsen S, Stayner L, Andersen J, Andersen ZJ. Shift work and overall and cause-specific mortality in the Danish nurse cohort. Scand J Work Environ Health. 2017;43(2):117–26. https://doi.org/10.5271/sjweh.3612.CrossRefPubMed

23.

Bannai A, Yoshioka E, Saijo Y, Sasaki S, Kishi R, Tamakoshi A. The risk of developing diabetes in association with long working hours differs by shift work schedules. J Epidemiol. 2016;26(9):481–7. https://doi.org/10.2188/jea.JE20150155.CrossRefPubMed

24.

Monk TH, Buysse DJ. Exposure to shift work as a risk factor for diabetes. J Biol Rhythms. 2013;28(5):356–9. https://doi.org/10.1177/0748730413506557.CrossRefPubMedPubMedCentral

25.

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(9):2683–9. https://doi.org/10.2337/dc12-1738.CrossRefPubMedPubMedCentral

26.

Karlsson B, Alfredsson L, Knutsson A, Andersson E, Toren K. Total mortality and cause-specific mortality of Swedish shift- and dayworkers in the pulp and paper industry in 1952–2001. Scand J Work Environ Health. 2005;31(1):30–5.CrossRefPubMed

27.

Suwazono Y, Sakata K, Okubo Y, et al. Long-term longitudinal study on the relationship between alternating shift work and the onset of diabetes mellitus in male Japanese workers. J Occup Environ Med. 2006;48(5):455–61. https://doi.org/10.1097/01.jom.0000214355.69182.fa.CrossRefPubMed

28.

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 Commun Health. 1999;53(6):359–63.CrossRef

29.

Morikawa Y, Nakagawa H, Miura K, et al. Shift work and the risk of diabetes mellitus among Japanese male factory workers. Scand J Work Environ Health. 2005;31(3):179–83.CrossRefPubMed

30.

De Bacquer D, Van Risseghem M, Clays E, Kittel F, De Backer G, Braeckman L. Rotating shift work and the metabolic syndrome: a prospective study. Int J Epidemiol. 2009;38(3):848–54. https://doi.org/10.1093/ije/dyn360.CrossRefPubMed

31.

Vimalananda VG, Palmer JR, Gerlovin H, et al. Night-shift work and incident diabetes among African–American women. Diabetologia. 2015;58(4):699–706. https://doi.org/10.1007/s00125-014-3480-9.CrossRefPubMedPubMedCentral

32.

Shan Z, Li Y, Zong G, et al. Rotating night shift work and adherence to unhealthy lifestyle in predicting risk of type 2 diabetes: results from two large US cohorts of female nurses. BMJ. 2018;363:k4641. https://doi.org/10.1136/bmj.k4641.CrossRefPubMedPubMedCentral

33.

Hansen AB, Stayner L, Hansen J, Andersen ZJ. Night shift work and incidence of diabetes in the Danish Nurse Cohort. Occup Environ Med. 2016;73(4):262–8. https://doi.org/10.1136/oemed-2015-103342.CrossRefPubMed

34.

Poulsen K, Cleal B, Clausen T, Andersen LL. Work, diabetes and obesity: a seven year follow-up study among Danish health care workers. PLoS ONE. 2014;9(7):e103425. https://doi.org/10.1371/journal.pone.0103425.CrossRefPubMedPubMedCentral

35.

Costa G. Shift work and health: current problems and preventive actions. Saf Health Work. 2010;1(2):112–23. https://doi.org/10.5491/shaw.2010.1.2.112.CrossRefPubMedPubMedCentral

36.

James SM, Honn KA, Gaddameedhi S, Van Dongen HPA. Shift work: disrupted circadian rhythms and sleep-implications for health and well-being. Curr Sleep Med Rep. 2017;3(2):104–12. https://doi.org/10.1007/s40675-017-0071-6.CrossRefPubMedPubMedCentral

37.

Schernhammer ES, Rosner B, Willett WC, Laden F, Colditz GA, Hankinson SE. Epidemiology of urinary melatonin in women and its relation to other hormones and night work. Cancer Epidemiol Biomark Prevent A Publ Am Assoc Cancer Res Cosponsored Am Soc Prevent Oncol. 2004;13(6):936–43.

38.

Bekkers MB, Koppes LL, Rodenburg W, van Steeg H, Proper KI. Relationship of night and shift work with weight change and lifestyle behaviors. J Occup Environ Med. 2015;57(4):e37–44. https://doi.org/10.1097/jom.0000000000000426.CrossRefPubMed

39.

Lin PC, Chen CH, Pan SM, et al. The association between rotating shift work and increased occupational stress in nurses. J Occup Health. 2015;57(4):307–15. https://doi.org/10.1539/joh.13-0284-OA.CrossRefPubMed

40.

Najafian J, Mohamadifard N, Siadat ZD, Sadri G, Rahmati MR. Association between sleep duration and diabetes mellitus: isfahan healthy heart program. Niger J Clin Pract. 2013;16(1):59–62.CrossRefPubMed

41.

Van Cauter E. Sleep disturbances and insulin resistance. Diabet Med A J Br Diabet Assoc. 2011;28(12):1455–62. https://doi.org/10.1111/j.1464-5491.2011.03459.x.CrossRef

42.

Tsatsoulis A, Fountoulakis S. The protective role of exercise on stress system dysregulation and comorbidities. Ann N Y Acad Sci. 2006;1083:196–213. https://doi.org/10.1196/annals.1367.020.CrossRefPubMed

43.

Ulhoa MA, Marqueze EC, Burgos LG, Moreno CR. Shift work and endocrine disorders. Int J Endocrinol. 2015;2015:826249. https://doi.org/10.1155/2015/826249.CrossRefPubMedPubMedCentral

44.

Bonham MP, Bonnell EK, Huggins CE. Energy intake of shift workers compared to fixed day workers: a systematic review and meta-analysis. Chronobiol Int. 2016;33(8):1086–100. https://doi.org/10.1080/07420528.2016.1192188.CrossRefPubMed

Title: A meta-analysis of cohort studies including dose-response relationship between shift work and the risk of diabetes mellitus
Authors: Wenzhen Li
Zhenlong Chen
Wenyu Ruan
Guilin Yi
Dongming Wang
Zuxun Lu
Publication date: 01-11-2019
Publisher: Springer Netherlands
Keyword: Diabetes
Published in: European Journal of Epidemiology / Issue 11/2019
Print ISSN: 0393-2990
Electronic ISSN: 1573-7284
DOI: https://doi.org/10.1007/s10654-019-00561-y

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A meta-analysis of cohort studies including dose-response relationship between shift work and the risk of diabetes mellitus

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