Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Mar 9;11(6):802.
doi: 10.3390/healthcare11060802.

Association between Shift Work and Metabolic Syndrome: A 4-Year Retrospective Cohort Study

Affiliations

Association between Shift Work and Metabolic Syndrome: A 4-Year Retrospective Cohort Study

Byeong-Jin Ye. Healthcare (Basel). .

Abstract

(1) Background: Previous studies on the association between shift work and metabolic syndrome have had inconsistent results. This may be due to the cross-sectional study design and non-objective data used in those studies. Hence, this study aimed to identify risk factors for Metabolic syndrome using objective information provided by the relevant companies and longitudinal data provided in health examinations. (2) Methods: In total, 1211 male workers of three manufacturing companies, including shift workers, were surveyed annually for 4 years. Data on age, smoking, drinking, physical activity, length of shift work, type of shift, past history, waist circumference, blood pressure, blood sugar, triglyceride, and high-density cholesterol (HDL) were collected and analyzed using generalized estimating equations (GEE) to identify the risk factors for Metabolic syndrome. (3) Results: In the multivariate analysis of Metabolic syndrome risk factors, age (OR = 1.078, 95% CI: 1.045-1.112), current smoking (OR = 1.428, 95% CI: 1.815-5.325), and BMI (OR = 1.498, 95% CI: 1.338-1.676) were statistically significant for day workers (n= 510). Additionally, for shift workers (N = 701), age (OR = 1.064, 95% CI: 1.008-1.174), current smoking (OR = 2.092, 95% CI: 1.854-8.439), BMI (OR = 1.471, 95% CI: 1.253-1.727) and length of shift work (OR = 1.115, 95% CI: 1.010-1.320) were statistically significant. Shift work was associated with a higher risk of Metabolic syndrome (OR = 1.093, 95% CI: 1.137-2.233) compared to day workers. For shift workers, shift work for more than 20 years was associated with Metabolic syndrome (OR = 2.080, 95% CI: 1.911-9.103), but the dose-response relationship was not statistically significant. (4) Conclusions: This study revealed that age, current smoking, BMI, and shift work are potential risk factors for Metabolic syndrome. In particular, the length of shift work (>20 years) is a potential risk factor for Metabolic syndrome in shift workers. To prevent metabolic syndrome in shift workers, health managers need to actively accommodate shift workers (especially those who have worked for more than 20 years), current smokers, and obese people. A long-term cohort study based on objective data is needed to identify the chronic health impact and the risk factors of shift work.

Keywords: generalized estimating equations; metabolic syndrome; retrospective cohort study; shift work.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Flowchart of the study participants’ selection.

References

    1. O’Neill S., O’Driscoll L. Metabolic syndrome: A closer look at the growing epidemic and its associated pathologies. Obes. Rev. 2015;16:1–12. doi: 10.1111/obr.12229. - DOI - PubMed
    1. Chai S.R., Kwon S.C., Lee Y.J., Jang E.C., Min Y.S., Lee S.Y. Association between metabolic syndrome and shift work in chemical plant workers. Ann. Occup. Environ. Med. 2021;33:e31. doi: 10.35371/aoem.2021.33.e31. - DOI - PMC - PubMed
    1. Scuteri A., Laurent S., Cucca F., Cockcroft J., Cunha P.G., Mañas L.R., Mattace Raso F.U., Muiesan M.L., Ryliškytė L., Rietzschel E., et al. Metabolic syndrome across Europe: Different clusters of risk factors. Eur. J. Prev. Cardiol. 2015;22:486–491. doi: 10.1177/2047487314525529. - DOI - PMC - PubMed
    1. Gutiérrez-Solis A.L., Datta Banik S., Méndez-González R.M. Prevalence of metabolic syndrome in mexico: A systematic review and meta-analysis. Metab. Syndr. Relat. Disord. 2018;16:395–405. doi: 10.1089/met.2017.0157. - DOI - PubMed
    1. Moore J.X., Chaudhary N., Akinyemiju T. Metabolic syndrome prevalence by race/ethnicity and sex in the United States, National Health and Nutrition Examination Survey, 1988–2012. Prev. Chronic Dis. 2017;14:E24. doi: 10.5888/pcd14.160287. - DOI - PMC - PubMed

Grants and funding

LinkOut - more resources