COMPARISON BETWEEN DIETARY INTAKE AND AGE IN RELATION TO BODY MASS INDEX AMONG POLYCYSTIC OVARIAN SYNDROME WOMEN – A CASE–CONTROL STUDY
Keywords:Polycystic ovarian syndrome,, Hirsutism,, Body mass index,, Hyperandrogenism,, Anthropometric details
Objective: Polycystic ovarian syndrome (PCOS) is the most prevalent endocrine disorder, affecting up to 6.8% of women at their prime reproductive age. The aim of the study is to prove the interrelationship between food patterns, age, and anthropometric measurements in relation with body mass index (BMI) among PCOS women and control participants.
Methods: The study was performed among 80 PCOS women and control participants according to the Rotterdam criteria. The data were collected through questionnaire which included age, socioeconomic data, anthropometric details, and food pattern, and the values were analyzed using Minitab 17 by Box plot method for graphical representation. The comparative analysis between age group and BMI was done by ANOVA.
Results: The results showed that there was significant relationship between inappropriate food pattern and PCOS women showing higher frequency of ±8.30 among age group (19-24 years) with an average BMI of 31.6 kg/m2. The unhealthy diet along with BMI was correlated with the visual examination of presence of hirsutism. From the ANOVA analysis, it was significantly proved with probability (p=0.002); there was stronger association between lifestyle modifications and PCOS. This is the first association study to correlate between dietary habitat and age group with BMI among South Indian in Coimbatore district.
Conclusion: From the results obtained, it is necessary to create awareness for women and girls about the ill effects of lifestyle modifications, unhealthy food pattern, and lack of physical activity which lead hormonal and metabolic changes.
Rosenfield RL, Ehrmann DA. The pathogenesis of polycystic ovary syndrome (PCOS): The hypothesis of PCOS as functional ovarian hyperandrogenism revisited. Endocr Rev 2016;37:467-520.
Xita N, Georgiou I, Tsatsoulis A. The genetic basis of polycystic ovary syndrome. Eur J Endocrinol 2002;147:717-25.
Pradeepa R, Anjana RM, Joshi SR, Bhansali A, Deepa M, Joshi PP, et al. Prevalence of generalized and abdominal obesity in urban and rural India. Indian J Med Res 2015;142:139.
Lim SS, Norman RJ, Davies MJ, Moran LJ. The effect of obesity on polycystic ovary syndrome: A systematic review and meta-analysis. Obes Rev 2013;14:95-109.
Albu A, Radian S, Fica S, Barbu CG. Biochemical hyperandrogenism is associated with metabolic syndrome independently of adiposity and insulin resistance in Romanian polycystic ovary syndrome patients. Endocrine 2015;48:696-704.
Fauser B, Tarlatzis B, Rebar RW, Legro RS, Balen AH, Lobo R, et al. Consensus on women’s health aspects of polycystic ovary syndrome (PCOS): The Amsterdam ESHRE/ASRM-sponsored 3rd PCOS consensus workshop group. Fertil Steril 2012;97:28-38. e25.
Shahedur R, Anowar P, Abdus S, Shahjahan A. study of the effect of food habit, lifestyle and daily trip on physical and mental status of subjects at Islamic university in Kushtia, Bangladesh. Open J Stat 2012;2:219-23.
Yuan C, Liu X, Mao Y, Diao F, Cui Y, Liu J. Polycystic ovary syndrome patients with high BMI tend to have functional disorders of androgen excess: A prospective study. J Biomed Res 2016;30:197-202.
Patil VR, Thangavelu PD, Jagtap VK. Effectiveness of lifestyle modification on weight loss and quality of life in obese women with polycystic ovarian syndrome Asian J Pharm Clin Res 2018;11:333-6.
Muhas C, Nishad KM, Ummunnoora KP, Jushna K, Saheera KV, Dilsha KP. Polycystic ovary syndrome (PCOS) an overview. Int J Curr Pharm Res 2018;10:5-9.
How to Cite
The publication is licensed under CC By and is open access. Copyright is with author and allowed to retain publishing rights without restrictions.