Iranian Journal of Diabetes and Obesity
Shahid Sadoughi University Of Medical Sciences
Fri, Jun 19, 2026
[Archive]
Volume 18, Issue 2 (6-2026)
IJDO 2026, 18(2): 77-83 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Azimi S M, Dadbinpour A, Askari M. Association between Prevalence of Diabetes Mellitus and Coronary Heart Disease with Shift Work in Adults - Shahedieh Cohort Study. IJDO 2026; 18 (2) :77-83
URL: http://ijdo.ssu.ac.ir/article-1-1034-en.html
URL: http://ijdo.ssu.ac.ir/article-1-1034-en.html
Department of Medical Genetic, Faculty of Medicine,, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Abstract: (203 Views)
Objective: The development, industrialization, the nature of work, technical and economic reasons, and increasing demand for services jobs have made shift work common. The aim of this study was investigation of association between Prevalence of Diabetes Mellitus and Coronary Heart Disease (CHD) including Angina and Heart Failure with Shift Work in Adults of Shahedieh cohort study in Yazd.
Materials and Methods: The data of this study were from the cross-sectional phase of the Shahedieh Cohort Study. The data of 9513 participants in the study were used to analyze the data. Data were analyzed using SPSS 22 software. Chi-square test was used to examine the relationship between independent and dependent variables and t-test was used to compare means. Binary logistic regression was also used for statistical modeling. Significance level less than 0.05 were considered.
Results: Our subjects' shift work prevalence was 6.7% (n= 633). The crude odds ratio of shift work was calculated for diabetes mellitus and CHD (OR= 0.38, CI: 0.28-0.51) and (OR= 0.52, CI: 0.36-0.72) respectively, which were statistically significant. But by adjusting age and sex, the odds ratio reached (OR= 0.75, CI: 0.55-1.01) and (OR= 0.86, CI: 0.57-1.28) respectively which was not statistically significant. By adjusting other confounders, the odds ratio reached (OR= 0.76, CI: 0.55-1.04) for diabetes and (OR= 0.84, CI: 0.55-1.28) for CHD.
Conclusion: No significant association was found between shift work with diabetes and CHD in our study. Age and gender were essential confounders in our study.
Materials and Methods: The data of this study were from the cross-sectional phase of the Shahedieh Cohort Study. The data of 9513 participants in the study were used to analyze the data. Data were analyzed using SPSS 22 software. Chi-square test was used to examine the relationship between independent and dependent variables and t-test was used to compare means. Binary logistic regression was also used for statistical modeling. Significance level less than 0.05 were considered.
Results: Our subjects' shift work prevalence was 6.7% (n= 633). The crude odds ratio of shift work was calculated for diabetes mellitus and CHD (OR= 0.38, CI: 0.28-0.51) and (OR= 0.52, CI: 0.36-0.72) respectively, which were statistically significant. But by adjusting age and sex, the odds ratio reached (OR= 0.75, CI: 0.55-1.01) and (OR= 0.86, CI: 0.57-1.28) respectively which was not statistically significant. By adjusting other confounders, the odds ratio reached (OR= 0.76, CI: 0.55-1.04) for diabetes and (OR= 0.84, CI: 0.55-1.28) for CHD.
Conclusion: No significant association was found between shift work with diabetes and CHD in our study. Age and gender were essential confounders in our study.
Type of Study: Research |
Subject:
Special
Received: 2022/12/14 | Accepted: 2026/05/20 | Published: 2026/06/1
Received: 2022/12/14 | Accepted: 2026/05/20 | Published: 2026/06/1
References
1. U.S. Bureau of Labor Statistics. Employment Situation Summary. Washington, DC, Government Printing Office,2014.
2. Voinescu BI. Common sleep, psychiatric, and somatic problems according to work schedule: An internet survey in an eastern European country. International Journal of Behavioral Medicine. 2018;25:456-64. [DOI:10.1007/s12529-018-9719-y]
3. Caldwell J, Caldwell JL. Fatigue in aviation: A guide to staying awake at the stick. Routledge; 2016. [DOI:10.4324/9781315582030]
4. Guo Y, Rong Y, Huang X, Lai H, Luo X, Zhang Z, et al. Shift work and the relationship with metabolic syndrome in Chinese aged workers. PloS one. 2015;10(3):e0120632. [DOI:10.1371/journal.pone.0120632]
5. Shabanian Z, Gholipour M, Amrollahi M, Hasheminejad N. Investigating shift work disorder among workers of Hamadan Glass Factory in 2017. Occupational Medicine. 2021.(in Persian) [DOI:10.18502/tkj.v12i4.5874]
6. Costa G. Sleep deprivation due to shift work. Handbook of clinical neurology. 2015;131:437-46. [DOI:10.1016/B978-0-444-62627-1.00023-8]
7. Williams C. Work-life balance of shift workers. Ottawa, Ontario, Canada: Statistics Canada; 2008.
8. Vyas MV, Garg AX, Iansavichus AV, Costella J, Donner A, Laugsand LE, et al. Shift work and vascular events: systematic review and meta-analysis. Bmj. 2012;345. [DOI:10.1136/bmj.e4800]
9. Mosendane T, Mosendane T, Raal FJ. Shift work and its effects on the cardiovascular system. Cardiovascular journal of Africa. 2008;19(4):210-5.
10. Ye HH, Jeong JU, Jeon MJ, Sakong J. The association between shift work and the metabolic syndrome in female workers. Annals of occupational and environmental medicine. 2013;25:1-8. [DOI:10.1186/2052-4374-25-33]
11. Kim TW, Jeong JH, Hong SC. The impact of sleep and circadian disturbance on hormones and metabolism. International journal of endocrinology. 2015;2015. [DOI:10.1155/2015/591729]
12. Morris CJ, Purvis TE, Hu K, Scheer FA. Circadian misalignment increases cardiovascular disease risk factors in humans. Proceedings of the National Academy of Sciences. 2016;113(10):E1402-11. [DOI:10.1073/pnas.1516953113]
13. Imanipour M, Bassampour SH, Haghani H. Relationship between preventive behaviors and knowledge regarding cardiovascular diseases. Hayat. 2008;14(2).
14. Zhou B, Lu Y, Hajifathalian K, Bentham J, Di Cesare M, Danaei G, et al. Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4· 4 million participants. The lancet. 2016;387(10027):1513-30. [DOI:10.1016/S0140-6736(16)00618-8]
15. Oh JI, Yim HW. Association between rotating night shift work and metabolic syndrome in Korean workers: differences between 8-hour and 12-hour rotating shift work. Industrial health. 2018;56(1):40-8. [DOI:10.2486/indhealth.2017-0072]
16. Puttonen S, Viitasalo K, Härmä M. The relationship between current and former shift work and the metabolic syndrome. Scandinavian journal of work, environment & health. 2012:343-8. [DOI:10.5271/sjweh.3267]
17. Poustchi H, Eghtesad S, Kamangar F, Etemadi A, Keshtkar AA, Hekmatdoost A, et al. Prospective epidemiological research studies in Iran (the PERSIAN Cohort Study): rationale, objectives, and design. American journal of epidemiology. 2018;187(4):647-55. [DOI:10.1093/aje/kwx314]
18. World Health Organization. Waist circumference and waist-hip ratio: report of a WHO expert consultation, Geneva,2008.
19. Najimi-Varzaneh A, Gholami-Fesharaki M, Rowzati M. The relationship between shift work and metabolic syndrome: a prospective cohort study. Tehran University Medical Journal. 2019;77(8).(in Persian)
20. Vetter C, Dashti HS, Lane JM, Anderson SG, Schernhammer ES, Rutter MK, et al. Night shift work, genetic risk, and type 2 diabetes in the UK biobank. Diabetes care. 2018;41(4):762-9. [DOI:10.2337/dc17-1933]
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
