Assessment of metabolic syndrome in infertile women with polycystic ovary syndrome in a rural population of South India: A cross-sectional study.

Hormones. Hyperandrogenism Metabolic syndrome Polycystic ovary syndrome

Journal

International journal of reproductive biomedicine
ISSN: 2476-4108
Titre abrégé: Int J Reprod Biomed
Pays: Iran
ID NLM: 101679102

Informations de publication

Date de publication:
Mar 2022
Historique:
received: 10 10 2020
revised: 27 03 2021
accepted: 10 08 2021
entrez: 1 6 2022
pubmed: 2 6 2022
medline: 2 6 2022
Statut: epublish

Résumé

Polycystic ovary syndrome (PCOS) is known to be associated with metabolic syndrome (MS). It is characterised by insulin resistance, hyperinsulinemia, dyslipidemia, obesity and hypertension. Data related to MS in infertile women with PCOS are limited in Indian populations. This study aims to compare the prevalence of MS in infertile women with and without PCOS in a rural population in South India. 130 women with PCOS and 130 women without PCOS were enrolled in this cross-sectional study. A detailed history was taken and a physical examination was done for all women. Anthropometric parameters, a glucose tolerance test, fasting glucose / insulin levels, trigylcerides, high-density lipoprotein cholesterol and blood pressure were assessed in all participants. The International Diabetes Federation criteria were applied for assessment of MS. MS was more prevalent in infertile women with PCOS (42.3%) compared to women without PCOS (19.3%). 56.9% of women with PCOS had low high-density lipoprotein cholesterol levels, 46.2% had high triglycerides, 71.5% had a high waist circumference, 31.5% had high blood pressure and 37.7% had high blood glucose levels. 26.0% of the women with PCOS had a healthy weight, and MS was seen in 6.9% of these women. The prevalence of MS was higher in women with PCOS in comparison to women without PCOS. Among the women with PCOS, the prevalence of MS increased with age (

Sections du résumé

Background UNASSIGNED
Polycystic ovary syndrome (PCOS) is known to be associated with metabolic syndrome (MS). It is characterised by insulin resistance, hyperinsulinemia, dyslipidemia, obesity and hypertension. Data related to MS in infertile women with PCOS are limited in Indian populations.
Objective UNASSIGNED
This study aims to compare the prevalence of MS in infertile women with and without PCOS in a rural population in South India.
Materials and Methods UNASSIGNED
130 women with PCOS and 130 women without PCOS were enrolled in this cross-sectional study. A detailed history was taken and a physical examination was done for all women. Anthropometric parameters, a glucose tolerance test, fasting glucose / insulin levels, trigylcerides, high-density lipoprotein cholesterol and blood pressure were assessed in all participants. The International Diabetes Federation criteria were applied for assessment of MS.
Results UNASSIGNED
MS was more prevalent in infertile women with PCOS (42.3%) compared to women without PCOS (19.3%). 56.9% of women with PCOS had low high-density lipoprotein cholesterol levels, 46.2% had high triglycerides, 71.5% had a high waist circumference, 31.5% had high blood pressure and 37.7% had high blood glucose levels. 26.0% of the women with PCOS had a healthy weight, and MS was seen in 6.9% of these women.
Conclusion UNASSIGNED
The prevalence of MS was higher in women with PCOS in comparison to women without PCOS. Among the women with PCOS, the prevalence of MS increased with age (

Identifiants

pubmed: 35642189
doi: 10.18502/ijrm.v20i3.10707
pmc: PMC9099363
doi:

Types de publication

Journal Article

Langues

eng

Pagination

161-168

Informations de copyright

Copyright © 2022 Kayali et al.

Déclaration de conflit d'intérêts

The authors declare that there is no conflict of interest.

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Auteurs

Sreelalitha Kayali (S)

Department of Obstetrics and Gynecology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.

Thyagaraju Chitra (T)

Department of Obstetrics and Gynecology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.

Sadishkumar Kamalanathan (S)

Department of Endocrinology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.

Hanumanthappa Nandeesha (H)

Department of Biochemistry, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.

Classifications MeSH