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Sharma S, Majumdar A. Prevalence of metabolic syndrome in relation to body mass index and polycystic ovarian syndrome in Indian women. J Hum Reprod Sci. 2015;8(4):202-8doi: 10.4103/0974-1208.170394.
Sharma, S., & Majumdar, A. (2015). Prevalence of metabolic syndrome in relation to body mass index and polycystic ovarian syndrome in Indian women. Journal of human reproductive sciences, 8(4), 202-8. https://doi.org/10.4103/0974-1208.170394
Sharma, Sangita, and Majumdar, Abha. "Prevalence of metabolic syndrome in relation to body mass index and polycystic ovarian syndrome in Indian women." Journal of human reproductive sciences vol. 8,4 (2015): 202-8. doi: https://doi.org/10.4103/0974-1208.170394
Sharma S, Majumdar A. Prevalence of metabolic syndrome in relation to body mass index and polycystic ovarian syndrome in Indian women. J Hum Reprod Sci. 2015 Oct-Dec;8(4):202-8. doi: 10.4103/0974-1208.170394. PMID: 26752855; PMCID: PMC4691971.
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J Hum Reprod Sci. 2015 Oct-Dec;8(4):202-8. doi: 10.4103/0974-1208.170394.

Prevalence of metabolic syndrome in relation to body mass index and polycystic ovarian syndrome in Indian women.

Journal of human reproductive sciences

Sangita Sharma, Abha Majumdar

Affiliations

  1. Department of Obstetrics and Gynecology, Sir Ganga Ram Hospital, New Delhi, India.
  2. Centre of IVF and Human Reproduction, Sir Ganga Ram Hospital, New Delhi, India.

PMID: 26752855 PMCID: PMC4691971 DOI: 10.4103/0974-1208.170394

Abstract

MAIN OUTCOME MEASURES: Subjects with and without PCOs were compared with each other for the prevalence of MBS, and similarly team subjects were compared with obese subjects. Receiver operator characteristic (ROC) curves were obtained for both the PCOS and non PCOS population separately, co-relating the prevalence of MBS with BMI. These ROC curves were used to establish the cut off values of BMI, which could best predict the risk of MBS.

RESULTS: The prevalence of MBS was significantly higher in the women with PCOS, as compared to age-matched controls. Similarly, when BMI was considered, MBS was more prevalent in overweight subjects than in lean subjects with or without PCOS. In subgroup analysis, the presence of PCOS had a lesser impact on the prevalence of MBS as compared to non-PCOS controls with higher BMI. The relative risk of MBS increased as follows: lean controls-1, lean PCOS-2.66, obese controls-5.33, and obese PCOS-6.5. The most appropriate cut-off level of BMI for predicting the risk of MBS in Indian women without PCOS seems to be 23 kg/m(2), whereas, with PCOS, it was 22.5 kg/m(2).

CONCLUSION: MBS is more prevalent in women with PCOS. However, obesity is an independent and stronger risk factor for developing MBS. To reduce the risk of MBS and its related long-term health consequences, lifestyle modification is advisable above BMI of 23 kg/m(2) in the normal population and 22.5 kg/m(2) in women with PCOS.

Keywords: Body mass index; metabolic syndrome; obesity; polycystic ovarian syndrome

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