A Cross-sectional study among Hospital Employees- Metabolic Syndrome and Shift Work
Downloads
Introduction: Shift workers and metabolic syndrome are on the rise in developing nations. The link between Metabolic syndrome and shiftwork is not clear. This study aims to measure the prevalence of metabolic syndrome among shift workers and daytime workers and to assess the association between metabolic syndrome and shift work. Methods: Cross- sectional study was done in a South Indian hospital. Participants were selected via systematic random sampling between the age group of 25 -50 years. There were two study groups – day and shift workers. Sample size calculation was done with an alpha error of 0.05 and power of 80% to detect a 12.5% difference for metabolic syndrome prevalence between the two groups. Outcomes studied include the prevalence of metabolic syndrome and odds of developing metabolic syndrome among shift workers. The Chi-square test and independent t-test were the tests of significance used. The impact of relevant parameters on metabolic syndrome was assessed using univariate and multivariable analysis. Results: Eighty employees were studied in each group. At baseline, differences include; daytime workers were older in age, had a better quality of sleep, were less active physically, and consisted of more vegetarians. The prevalence of metabolic syndrome prevalence was thirty-three percent among the participants. The odds ratio (adjusted for relevant confounders) for shift workers to develop metabolic syndrome was 0.55 (95% CI 0.24 -1.29). Conclusion: Metabolic syndrome was diagnosed in a third of the hospital employees studied. There was no statistical difference between shift and daytime workers for the prevalence of metabolic syndrome. Increased awareness, screening, and preventive measures of the disease are recommended.
Keywords: daytime, hospital, metabolic syndrome, shift work, sleepAhmad, S., Ahluwalia, T.S., 2019. Editorial: The Role of Genetic and Lifestyle Factors in Metabolic Diseases. Frontiers in Endocrinology 10(July), pp. 475-478.
Ahmad, S. et al. (2015) ‘Evaluation of reliability and validity of the General Practice Physical Activity Questionnaire (GPPAQ) in 60–74 year old primary care patients', BMC Family Practice, 16(1), pp. 113-122.
Alberti, K. G. M. M., Zimmet, P. and Shaw, J. (2006) ‘Metabolic syndrome--a new world- wide definition. A Consensus Statement from the International Diabetes Federation', Diabetic Medicine: A Journal of the British Diabetic Association, 23(5), pp. 469–480.
Andreou, E. et al. (2011) ‘Perceived Stress Scale: Reliability and Validity Study in Greece', International Journal of Environmental Research and Public Health, 8(8), pp. 3287–3298.
Canuto, R., Garcez, A. S. and Olinto, M. T. A. (2013) ‘Metabolic Syndrome and Shift Work: A Systematic Review', Sleep Medicine Reviews, 17(6), pp. 425–431.
Chobanian, A. V. et al. (2003) ‘The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report', JAMA, 289(19), pp. 2560–2572.
Ford, E. S. (2005) ‘Prevalence of the Metabolic Syndrome Defined by the International Diabetes Federation among adults in the U.S', Diabetes Care, 28(11), pp. 2745–2749.
Gerstman , B. B. (2013) Epidemiology Kept Simple: An Introduction to Traditional and Modern Epidemiology, 3rd Edition. West Sussesx: John Wiley & Sons.
Gosadi, I.M., (2016) 'Assessment of the Environmental and Genetic Factors Influencing Prevalence of Metabolic Syndrome in Saudi Arabia', Saudi Medical Journal, 37(1),pp. 12–20.
Khan, Y., et. al., (2018) Prevalence of Metabolic Syndrome Crossing 40% in Northern India: Time to act fast before it runs out of proportions. Jounal of Family Medicine and Primary Care, 7(1), 118–123.
Maury, E., Ramsey, K. M. and Bass, J. (2010) ‘Circadian Rhythms and Metabolic Syndrome: from Experimental Genetics to Human Disease', Circulation Research, 106(3), p. 447.-462
Mehta, S., 2016. Innovation and Employment: A Study of Indian Manufacturing Sector. Millennial Asia 7(2), 184–206.
Messenger, J (2018) Working Time and the Future of Work. Geneva: International Labour Organization.
Pati, A.K., Parganiha, A. and Reinberg, A., 2001. 'Shift Work: Consequences and Management', Current Science, 81(1), pp. 32–52.
Prasad, D.S., et. al. (2012) 'Prevalence and Risk Factors for Metabolic Syndrome in Asian Indians: A community Study from Urban Eastern India', Journal of Cardiovascular Disease Research, 3(3), 204–211.
Spira, A. P. et al. (2012) 'Reliability and Validity of the Pittsburgh Sleep Quality Index and the Epworth Sleepiness Scale in Older Men', The Journals of Gerontology: Series A Biological Sciences and Medical Sciences, 67)4, pp. 433-439
Wang, F., et. al. (2014) Meta-analysis on Night hift Work and Risk of Metabolic Syndrome. Obesity Reviews 15(9), pp.709–720.
Wang, X.-S., et. al. (2011) Shift Work and Chronic Disease: The Epidemiological Evidence. Occupational Medicine (Lond), 61(2),pp. 78–89.
World Health Organization (2000) The Asia- Pacific Perspective : Redefining Obesity and its Treatment. Sydney : Health Communications Australia.
Ye, H. H. et. al. (2013) 'The Association between Shift Work and the Metabolic Syndrome in Female Workers', Annals of Occupational and Environmental Medicine., 25(33), pp. 1-8.
Zhao, I., and Turner, C.(2008) 'The Impact of Shift Work on People's Daily Health Habits and Adverse Health Outcomes', Australian Journal of Advanced Nursing, 25(3), pp.8-22
In order to be accepted and published by The Indonesian Journal of Occupational Safety and Health, Author(s) who submit an article should complete all the review process. The copyright of received articles assigned to the The Indonesian Journal of Occupational Safety and Health and Department of Safety and Health, Universitas Airlangga as publishers of the journal. The intended copyright includes the rights to publish articles in various forms (including reprints).
The Editorial Team of The Indonesian Journal Of Occupational Safety and Health and Department of Safety and Health strive to ensure that no errors occur in the articles that have been published, both data errors and statements in the article.
Users of this website will be licensed to use materials from this website following the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. No fees charged. Please use the materials accordingly.
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Attribution ” You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
NonCommercial ” You may not use the material for commercial purposes.
ShareAlike ” If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
How to Submit Articles in OJS
