A A STUDY ON THE PREVALENCE OF OVERWEIGHT AND OBESITY AMONG WOMEN AGED 20 YEARS AND ABOVE IN RURAL FIELD PRACTICE AREA OF SIMS, HAPUR

R K SEHGAL; VISHWANATH GHOSHAL; UJJWAL SOURAV

doi:10.22159/ajpcr.2024.v17i4.49182

Authors

R K SEHGAL Department of Community Medicine, SIMS, Hapur, Uttar Pradesh, India
VISHWANATH GHOSHAL Department of Community Medicine, SIMS, Hapur, Uttar Pradesh, India
UJJWAL SOURAV Department of Community Medicine, SIMS, Hapur, Uttar Pradesh, India

DOI:

https://doi.org/10.22159/ajpcr.2024.v17i4.49182

Keywords:

Obesity, BMI,, Sedentary, Metabolic disease

Abstract

Objectives: The aim of the study was to assess the prevalence of overweight as well as obesity among women aged 20 years and above in a rural covered area of SIMS, Hapur, and to assess the risk factors for overweight and obesity in the above study population.

Methods: This research was carried out in the rural field practice area of SIMS, Hapur, spanning from July 2022 to July 2023. The study focused on women aged 20 years and older who were residents of the SIMS field practice area. The following criteria were used to select the study participants: Women who were pregnant at the time of the study, those who could not be reached after two home visits, individuals taking chronic medications that might lead to weight gain, and those who were uncooperative were excluded from the study.

Results: Out of the 500 participants in the study, 18.6% were categorized as underweight, 53.6% fell within the normal weight range, and 27.8% were considered overweight. Within the group of overweight individuals, a substantial 70.5% were classified as obese. The study revealed that the overall prevalence of overweight (defined as BMI>23) was 27.7%, while the prevalence of obesity (defined as BMI>25) stood at 19.8%. Furthermore, 29.9% of the women had a waist circumference exceeding 80 cm.

Conclusion: Based on the findings from our current research, it can be deduced that women with higher levels of education and socioeconomic status, a family history of excess weight, a higher number of pregnancies, a lack of physical activity, insufficient sleep, and poor dietary choices are more likely to be at risk of becoming overweight or obese. To prevent the rising prevalence of excess fat and obesity, it is imperative to implement lifestyle and dietary modifications.

Downloads

Download data is not yet available.

References

Lin X, Li H. Obesity: Epidemiology, pathophysiology, and therapeutics. Front Endocrinol. 2021;12(2):706978-83.

Willett WC, Koplan JP, Nugent R, Dusenbury C, Puska P, Gaziano TA, et al. Prevention of Chronic Disease by Means of Diet and Lifestyle Changes. Disease Control Priorities in Developing Countries. 2nd ed., Vol. 44. Washington, DC: The International Bank for Reconstruction and Development; 2006. p. 1-33.

Ginsberg HN, MacCallum PR. The obesity, metabolic syndrome, and type 2 diabetes mellitus pandemic: Part I. Increased cardiovascular disease risk and the importance of atherogenic dyslipidemia in persons with the metabolic syndrome and type 2 diabetes mellitus. J Cardiometab Syndr. 2009;4(2):113-9.

Darusman F, Rusdiana T, Sopyan I. Bioequivalence of metformin as an oral antidiabetic: A systematic review. Int J Appl Pharm. 2023;15(6):76-81.

Catalano PM, Shankar K. Obesity and pregnancy: Mechanisms of short term and long term adverse consequences for mother and child. BMJ. 2017;356(2):j1.

Justyn M, Yulianti T, Wilar G. Long-term covid-19 effect to endothelial damage trough extrinsic apoptosis led to cardiovascular disease progression: An update review. Int J Appl Pharm. 2023;15(6):60-8.

Misra A, Pandey RM, Devi JR, Sharma R, Vikram NK, Khanna N. High prevalence of diabetes, obesity and dyslipidaemia in urban slum population in northern India. Int J Obes Relat Metab Disord. 2001;25(11):1722-9.

Mohan V, Shanthirani S, Deepa R, Premalatha G, Sastry NG, Saroja R, et al. Intra-urban differences in the prevalence of the metabolic syndrome in southern India -- the Chennai Urban Population Study (CUPS No. 4). Diabet Med. 2001;18(4):280-7.

Knutson KL, Van Cauter E. Associations between sleep loss and increased risk of obesity and diabetes. Ann N Y Acad Sci. 2008;1129:287-304.

Haster G, Busysee DJ, Klaghofer R, Gamma A, Ajdacic V, Eich D, et al. The association between short sleep duration and obesity in young adults: 13 year prospective study. Sleep. 2004;27(3):661-6.

Yadav K, Krishnan A. Changing patterns of diet, physical activity and obesity among urban, rural and slum populations in north India. Obes Rev. 2008;9(2):400-8.

Agrawal P, Mishra V, Agrawal S. Covariates of maternal overweight and obesity and the risk of adverse pregnancy outcomes: Findings from a nationwide cross sectional survey. J Public Health. 2012;20:387-97.