ANTHROPOMETRIC AND LIFESTYLE CORRELATES OF POLYCYSTIC OVARY SYNDROME: A RETROSPECTIVE CROSS-SECTIONAL ANALYSIS
Main Article Content
Keywords
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Abstract
Background: Polycystic Ovary Syndrome (PCOS) is a multifactorial endocrine disorder commonly associated with obesity and unhealthy lifestyle behaviors. Modifiable factors such as fast food consumption and lack of physical activity may influence the severity and progression of PCOS.
Objective: To assess the anthropometric profile and evaluate the prevalence of fast food consumption and regular physical activity among women diagnosed with PCOS in a tertiary care setting.
Methods: This retrospective cross-sectional study analyzed the clinical records of 150 women diagnosed with PCOS at Department of Gynaecology & Obstetrics, Varun Arjun Medical College & Rohilkhand Hospital. Data on age, weight, height, BMI, fast food intake, and physical activity status were extracted. Descriptive statistics were applied, and Chi-square tests were used to examine associations between BMI categories and lifestyle behaviors.
Results:
The mean age of participants was 29.92 ± 5.28 years, and the mean BMI was 25.58 ± 4.24 kg/m². Fast food consumption was reported by 81 participants (54.0%), and 69 (46.0%) did not consume fast food. Regular physical activity was reported by only 8 participants (5.3%), while 142 (94.70%) were physically inactive. There was no significant association between BMI and fast food consumption (p =0.051), but a statistically significant association was found between BMI and physical activity (p = 0.041), with higher BMI associated with lower levels of exercise.
Conclusion: The majority of women with PCOS exhibited elevated BMI and a sedentary lifestyle. Although fast food consumption was common across BMI groups, physical inactivity was significantly more prevalent among overweight and obese individuals. These findings highlight the need for targeted lifestyle interventions focusing on physical activity as part of routine PCOS management.
References
2. Teede HJ, Misso ML, Costello MF, et al. Recommendations from the international evidence-based guideline for the assessment and management of polycystic ovary syndrome. Hum Reprod. 2018;33(9):1602–1618.
3. Dunaif A. Insulin resistance and the polycystic ovary syndrome: mechanism and implications for pathogenesis. Endocr Rev. 1997;18(6):774–800.
4. Lim SS, Davies MJ, Norman RJ, Moran LJ. Overweight, obesity and central obesity in women with PCOS: a systematic review and meta-analysis. Hum Reprod Update. 2012;18(6):618–637.
5. Mehrabani HH, Salehpour S, Amiri Z, et al. The effect of dietary patterns on the symptoms of polycystic ovary syndrome: a narrative review. Clin Nutr ESPEN. 2021;42:1–8.
6. Rotterdam ESHRE/ASRM-Sponsored PCOS Consensus Workshop Group. Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome. Fertil Steril. 2004;81(1):19–25.
7. Amiri M, Tehrani FR. Factors associated with physical activity among women with polycystic ovary syndrome: a review. Int J Endocrinol Metab. 2020;18(1):e101712.
8. Barber TM, Hanson P, Weickert MO, Franks S. Obesity and polycystic ovary syndrome: implications for pathogenesis and novel management strategies. Clin Med Insights Reprod Health. 2019;13:1–13.
9. Lim SS, Davies MJ, Norman RJ, Moran LJ. Overweight, obesity and central obesity in women with PCOS: a systematic review and meta-analysis. Hum Reprod Update. 2012;18(6):618–637.
10. Dunaif A. Insulin resistance and the polycystic ovary syndrome: mechanism and implications for pathogenesis. Endocr Rev. 1997;18(6):774–800.
11. Eleftheriadou M, Michalakis K, Peppa M, et al. Lifestyle and dietary habits in adolescent girls with polycystic ovary syndrome. Endocr Connect. 2020;9(4):338–345.
12. Hassanzadeh Keshteli A, Esmaillzadeh A, Rajaie S, et al. A study of junk food consumption and its relation with menstrual irregularities in university students. Clin Nutr ESPEN. 2023;53:78–83.
13. Amiri M, Tehrani FR. Factors associated with physical activity among women with polycystic ovary syndrome: a review. Int J Endocrinol Metab. 2020;18(1):e101712.
14. Moran LJ, Brown WJ, McNaughton SA, et al. Weight management practices associated with PCOS: a web-based survey. Reprod Biol Endocrinol. 2013;11:4.
15. Thomson RL, Buckley JD, Brinkworth GD. Exercise and diet in polycystic ovary syndrome: implications for management of reproductive and metabolic features. Sports Med. 2011;41(6):403–418.