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Metabolic Syndrome Among Female School Teachers: A Sedentary Occupational Sector

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Date 2023 Dec 4
PMID 38047171
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Abstract

Background: Dyslipidemia, insulin resistance, hypertension, and abdominal obesity are important determinants of metabolic syndrome (MetS). Ample studies provide statistical data on the prevalence of MetS among the general public. Conversely, there is a paucity of data on the risk of MetS among different sedentary occupational groups.

Objective: To assess the risk of MetS among female school teachers and to identify factors contributing to MetS.

Methodology: The study was conducted among 256 female school teachers residing in Chennai city. A questionnaire was used to elicit information on the socio-demographic profile, diet pattern, physical fitness, and genetic history of lifestyle diseases. Anthropometric, biochemical, and clinical parameters were measured using standard methods. MetS was diagnosed using the harmonizing definition. Data analysis was done using Statistical Package for Social Sciences software.

Results: Results evince that 39.45% of female school teachers were diagnosed with MetS, of which 26.56% had three components, 9.77% had four components, and 3.12% had all components of MetS. Abdominal obesity (99%) and low levels of high-density lipoprotein cholesterol (HDL-C) (96.04%) were the most predominant components. The least common component was diastolic hypertension (32.67%). MetS components were high among school teachers aged 36-45 years and 46-55 years. Age, fasting hyperglycemia, paternal history of hypertension, physical inactivity, eating out, and consumption of refined cereals significantly contributed to MetS ( < 0.05).

Conclusion: Results highlight the need to identify high-risk individuals and promote a healthy lifestyle through various intervention programs.

References
1.
Aravindalochanan V, Kumpatla S, Rengarajan M, Rajan R, Viswanathan V . Risk of diabetes in subjects with sedentary profession and the synergistic effect of positive family history of diabetes. Diabetes Technol Ther. 2013; 16(1):26-32. DOI: 10.1089/dia.2013.0140. View

2.
Chopra S, Misra A, Gulati S, Gupta R . Overweight, obesity and related non-communicable diseases in Asian Indian girls and women. Eur J Clin Nutr. 2013; 67(7):688-96. DOI: 10.1038/ejcn.2013.70. View

3.
Lan Y, Mai Z, Zhou S, Liu Y, Li S, Zhao Z . Prevalence of metabolic syndrome in China: An up-dated cross-sectional study. PLoS One. 2018; 13(4):e0196012. PMC: 5906019. DOI: 10.1371/journal.pone.0196012. View

4.
Lee S, Hairi N, Moy F . Metabolic syndrome among non-obese adults in the teaching profession in Melaka, Malaysia. J Epidemiol. 2017; 27(3):130-134. PMC: 5350617. DOI: 10.1016/j.je.2016.10.006. View

5.
Alberti K, Eckel R, Grundy S, Zimmet P, Cleeman J, Donato K . Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation;.... Circulation. 2009; 120(16):1640-5. DOI: 10.1161/CIRCULATIONAHA.109.192644. View