Prevalence Of Obesity Among Middle Aged Women Associated With Lifestyle And Demography

Authors

  • Sindhuja Ravi
  • Murugaraj . T
  • Shanmugananth Elayaperumal
  • Leeshanie
  • Athirai Sankar
  • Dharshini Gangadurai

DOI:

https://doi.org/10.52783/jns.v14.2846

Keywords:

obesity, women, Age, Body mass index, anthropometry

Abstract

Background: Obesity is a significant global public health problem, and middle-aged women are a high-risk group. This study was undertaken to identify the prevalence of obesity in middle-aged women in Puducherry.

Methods: A cross-sectional study was done among 100middle-aged women (40-60 years) selected by a multi-stage sampling method. A pre-tested questionnaire was used to collect data, and anthropometric measurements were made. Obesity was diagnosed as a body mass index (BMI) ≥ 30 kg/m².

Results: The prevalence of obesity was 34.5%. The prevalence of obesity rose with age, from 28.5% in women aged 40-44 years to 41.2% in those aged 55-60 years. The factors that were significantly related to obesity were increased education level, physical inactivity, and chronic diseases.

Conclusion: The incidence of obesity in middle-aged women of Puducherry is high, and therefore, there is a need for specific interventions to encourage healthy lifestyle practices and avert obesity complications.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

References

James W.P.T. Obesity: A global public health challenge. Clin. Chem. 2018;64:24–29. Doi: 10.1373/clinchem.2017.273052.

Rosenthal R.J., Morton J., Brethauer S., Mattar S., De Maria E., Benz J.K., Titus J., Sterrett D. Obesity in America. Surg. Obes. Relat. Dis. 2017;13:1643–1650. Doi: 10.1016/j.soard.2017.08.002.

National Health Statistics: Health and Welfare Ministry E-Country Indicators of Obesity Prevalence. 2018. [(accessed on 7 March 2021)].

Chu S.H., Lee M.K., Kowalski J., Beck J., Schwertz D. Effect of estrogen on ovariectomy-induced obesity in rats. J. Korean Biol. Nurs. Sci. 2008;10:80–87.

Upadhyay J., Farr O., Perakakis N., Ghaly W., Mantzoros C. Obesity as a disease. Med. Clin. N. Am. 2018;102:13–33. Doi: 10.1016/j.mcna.2017.08.004.

Lee E.J., Ma R.W. A comparison of factors influencing health-related quality of life by obesity among middle-aged women. Asia-Pac. J. Multimed. Serv. Converg. Art Humanit. Sociol. 2018;8:691–702

Mulugeta A., Zhou A., Power C., Hyppönen E. Obesity and depressive symptoms in mid-life: A population-based cohort study. BMC Psychiatry. 2018;18:297. Doi: 10.1186/s12888-018-1877-6.

Wright S.M., Aronne L.J. Causes of obesity. Abdom. Radiol. 2012;37:730–732. Doi: 10.1007/s00261-012-9862-x.

Koithan M. Mind-body solutions for obesity. J. Nurse Pract. 2009;5:536–537. Doi: 10.1016/j.nurpra.2009.05.012.

Chun T., Park K., Seo D. Effects of combined exercise training on endocrine system and immunoglobulin in middle aged women. Exerc. Sci. 2008;17:157–162. [Google Scholar]

Mi C.S. Coronavirus infections-19 and challenges for future disease response. Korea Inst. Health Soc. Aff. 2020;374:1–8.

Koh K.W. Physical activity guideline for social distancing during COVID-19. Korean J. Health Educ. Promot. 2022;37:109–112. Doi: 10.14367/kjhep.2020.37.1.109. [

Pagan I., Costa D.L., McGee J.K., Richards J.H., Dye J.A., Dykstra M.J. Metals mimic airway epithelial injury induced by in vitro exposure to Utah Valley ambient particulate matter extracts. J. Toxicol. Environ. Health Part A. 2003;66:1087–1112. Doi: 10.1080/15287390390213908.

Ristovski Z.D., Miljevic B., Surawski N.C., Morawska L., Fong K.M., Goh F., Yang I. Respiratory health effects of diesel particulate matter. Respirology. 2012;17:201–212. Doi: 10.1111/j.1440-1843.2011.02109.x

Jang A.S. Impact of particulate matter on health. J. Korean Med. Assoc. 2014;57:763–768. Doi: 10.5124/jkma.2014.57.9.763.

Suyanto B., Egalita N., Sugihartati R. Facing the new reality of post Covid-19: A demand for lifestyle-based social engineering. Talent. Dev. Excell. 2020;12:2333–2342.

Lee S., Park C., Jeong D., Choi J., Kim H. Development of physical activity monitoring system using multiple motion sensors; Proceedings of the Korean Society of Computer Information Conference; Gyeongju, Republic of Korea. 5–7 October 2020; Gyeongju, Republic of Korea: Korean Society of Computer Information; 2020.

Yang Y.J. Evidence based exercise to control weight. J. Korean Med. Assoc. 2017;60:806–816. Doi: 10.5124/jkma.2017.60.10.806.

Youn J.-H., Choi H.-S. Development of sportainment realistic bike simulator. J. Korea Contents Assoc. 2014;14:10–18.

Burdea G.C., Coiffet P. Virtual Reality Technology. John Wiley & Sons; New York, NY, USA: 2003.

Downloads

Published

2025-03-31

How to Cite

1.
Ravi S, T M ., Elayaperumal S, Leeshanie L, Sankar A, Gangadurai D. Prevalence Of Obesity Among Middle Aged Women Associated With Lifestyle And Demography. J Neonatal Surg [Internet]. 2025Mar.31 [cited 2025Jul.11];14(6):97-102. Available from: https://jneonatalsurg.com/index.php/jns/article/view/2846

Most read articles by the same author(s)

1 2 3 > >>