Original Article

Relationship Between Shift Work and Lipid Profiles: A Prospective Cohort Study with Application of Ordinal Multilevel Modeling

Abstract

Introduction:A very limited evidences are available that considered the relationship between Shift Work (SW) and lipid variables.
Objectives: As the importance of this subject, this prospectively cohort study examines the association between SW and Body Mass Index (BMI) and lipid profiles among male workers using multilevel ordinal model
Methods: This five years prospective cohort study has been conducted in random selected workers (using cluster sampling) who work in Esfahan’s Mobarakeh Steel Company (EMSC) (Iran) between 2011 and 2015.
Results: The study sample included 1626 male workers (mean age=41.5). Among these subjects, 652 (40.01%), 183 (11.3%) and 791 (48.6%) were day workers, weekly rotating shift workers and routinely rotating.  After controlling for several confounding variables, except HDL and Cholesterol, the odds ratio for high HDL was decreased by 26% (OR=0.74, P<0.001) and increased for TG by 36% in weekly rotating shift workers compared to day workers.  
Conclusion: Since weekly rotating shift workers had higher mean value of TG in their serum compared to day workers, they should limit eating high-fat diets in order to decrease risk of CVD.

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2.Azizi, F., et al., Cardiovascular risk factors in an Iranian urban population: Tehran lipid and glucose study (phase 1). Sozial-und präventivmedizin, 2002. 47(6): p. 408-426.
3.Imanipour, M., S. Bassampour, and H. Haghani, Relationship between Preventive Behaviors and Knowledge Regarding Cardiovascular Diseases. Hayat, 2008. 14(2).
4.Smith, S.C., et al., AHA/ACC guidelines for secondary prevention for patients with coronary and other atherosclerotic vascular disease: 2006 update: endorsed by the National Heart, Lung, and Blood Institute. Journal of the American College of Cardiology, 2006. 47(10): p. 2130-2139.
5.Crouch, R., Perception, knowledge & awareness of coronary heart disease among rural Australian women 25 to 65 years of age–a descriptive study. 2008.
6.Asare-Anane, H., et al., Shift work and the risk of cardiovascular disease among workers in cocoa processing company, Tema. BMC Res Notes, 2015. 8: p. 798.
7.Kantermann, T., et al., The direction of shift-work rotation impacts metabolic risk independent of chronotype and social jetlag – An exploratory pilot study. Chronobiology International, 2014. 31(10): p. 1139-1145.
8.Karlsson, B.H., et al., Metabolic disturbances in male workers with rotating three-shift work. Results of the WOLF study. Int Arch Occup Environ Health, 2003. 76(6): p. 424-30.
9.Guo, Y., et al., Shift work and the relationship with metabolic syndrome in Chinese aged workers. PLoS One, 2015. 10(3): p. e0120632.
10.Alefishat, E. and R. Abu Farha, Is Shift Work Associated with Lipid Disturbances and Increased Insulin Resistance? Metab Syndr Relat Disord, 2015. 13(9): p. 400-5.
11.Akbari, H., et al., Evaluation of the effect of shift work on serum cholesterol and triglyceride levels. Iran Red Crescent Med J, 2015. 17(1): p. e18723.
12.Suwazono, Y., et al., Estimation of the benchmark duration of alternating shift work associated with increased total cholesterol levels among male Japanese workers. Scand J Work Environ Health, 2010. 36(2): p. 142-9.
13.Uetani, M., et al., The influence of being overweight on the relationship between shift work and increased total cholesterol level. Ann Epidemiol, 2011. 21(5): p. 327-35.
14.Barbadoro, P., et al., Rotating shift-work as an independent risk factor for overweight Italian workers: a cross-sectional study. PLoS One, 2013. 8(5): p. e63289.
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16.Gholami Fesharaki, M., et al., Relationship between shift work and obesity a retrospective cohort study. Journal Mil Med, 2012. 14(2): p. 93-97.
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IssueVol 5 No 4 (2019) QRcode
SectionOriginal Article(s)
DOI https://doi.org/10.18502/jbe.v5i4.3871
Keywords
Ordinal logistic regression Multilevel analysis Shift work Cholesterol HDL LDL TG

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How to Cite
1.
Kousehlou A, Gholami-Fesharaki M. Relationship Between Shift Work and Lipid Profiles: A Prospective Cohort Study with Application of Ordinal Multilevel Modeling. JBE. 2020;5(4):304-309.