Correlation of serum homocysteine levels and hyperinsulinaemia with body mass index in polycystic ovarian syndrome

Background: Polycystic ovary syndrome (PCOS) is one of the most common endocrinopathies affecting women in reproductive age group. The interrelationship of serum homocysteine, homoeostatic assessment of insulin resistance (HOMA-IR) and body mass index amongst overweight, obese and non-obese PCOS pat...

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Main Authors: Rashmi Bhushan, Parul Sinha
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2022-01-01
Series:Journal of Human Reproductive Sciences
Subjects:
Online Access:http://www.jhrsonline.org/article.asp?issn=0974-1208;year=2022;volume=15;issue=1;spage=34;epage=41;aulast=Bhushan
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author Rashmi Bhushan
Parul Sinha
author_facet Rashmi Bhushan
Parul Sinha
author_sort Rashmi Bhushan
collection DOAJ
description Background: Polycystic ovary syndrome (PCOS) is one of the most common endocrinopathies affecting women in reproductive age group. The interrelationship of serum homocysteine, homoeostatic assessment of insulin resistance (HOMA-IR) and body mass index amongst overweight, obese and non-obese PCOS patients is not fully established. Aims: We aimed to study the correlation of serum homocysteine levels and hyperinsulinaemia with body mass index (BMI) in PCOS patients. Study Setting and Design: This was a case–control study in which 35 women with PCOS and 35 non-PCOS women acting as controls were enrolled. Materials and Methods: Cases were identified by Rotterdam's criteria. (IR) indices, HOMA determination and serum homocysteine levels were determined and their correlation with BMI was studied. Statistical Analysis Used: Student's t-test and analysis of variance test were used for statistical analysis. The Pearson correlation coefficient was then used to estimate the correlation. Results: On overall evaluation, a significant positive correlation of fasting insulin, HOMA-IR and serum homocysteine) was observed (P < 0.05), however, on evaluating the correlation of these markers independently in cases and controls, only fasting insulin and HOMA-IR showed a significant correlation. In a multivariate model where PCOS was considered a dependent variable with age, fasting glucose, HOMA-IR, serum homocysteine and body mass index as the independent variables, only serum homocysteine levels were found to be significantly associated with the dependent variable (odds ratio = 1.172; 95% confidence interval = 1.032–1.330). Conclusion: PCOS women had significantly higher mean fasting glucose, fasting insulin, HOMA-IR and homocysteine levels as compared to non-PCOS controls. Mean HOMA-IR, homocysteine and fasting insulin levels showed a significant incremental trend with increasing BMI category in overall evaluation as well as in cases and controls independently.
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spelling doaj.art-ed668c182fb84a78898936902ee8d1db2022-12-21T19:16:02ZengWolters Kluwer Medknow PublicationsJournal of Human Reproductive Sciences0974-12081998-47662022-01-01151344110.4103/jhrs.jhrs_147_21Correlation of serum homocysteine levels and hyperinsulinaemia with body mass index in polycystic ovarian syndromeRashmi BhushanParul SinhaBackground: Polycystic ovary syndrome (PCOS) is one of the most common endocrinopathies affecting women in reproductive age group. The interrelationship of serum homocysteine, homoeostatic assessment of insulin resistance (HOMA-IR) and body mass index amongst overweight, obese and non-obese PCOS patients is not fully established. Aims: We aimed to study the correlation of serum homocysteine levels and hyperinsulinaemia with body mass index (BMI) in PCOS patients. Study Setting and Design: This was a case–control study in which 35 women with PCOS and 35 non-PCOS women acting as controls were enrolled. Materials and Methods: Cases were identified by Rotterdam's criteria. (IR) indices, HOMA determination and serum homocysteine levels were determined and their correlation with BMI was studied. Statistical Analysis Used: Student's t-test and analysis of variance test were used for statistical analysis. The Pearson correlation coefficient was then used to estimate the correlation. Results: On overall evaluation, a significant positive correlation of fasting insulin, HOMA-IR and serum homocysteine) was observed (P < 0.05), however, on evaluating the correlation of these markers independently in cases and controls, only fasting insulin and HOMA-IR showed a significant correlation. In a multivariate model where PCOS was considered a dependent variable with age, fasting glucose, HOMA-IR, serum homocysteine and body mass index as the independent variables, only serum homocysteine levels were found to be significantly associated with the dependent variable (odds ratio = 1.172; 95% confidence interval = 1.032–1.330). Conclusion: PCOS women had significantly higher mean fasting glucose, fasting insulin, HOMA-IR and homocysteine levels as compared to non-PCOS controls. Mean HOMA-IR, homocysteine and fasting insulin levels showed a significant incremental trend with increasing BMI category in overall evaluation as well as in cases and controls independently.http://www.jhrsonline.org/article.asp?issn=0974-1208;year=2022;volume=15;issue=1;spage=34;epage=41;aulast=Bhushanbody mass indexhomocysteineinsulin resistancepolycystic ovary syndrome
spellingShingle Rashmi Bhushan
Parul Sinha
Correlation of serum homocysteine levels and hyperinsulinaemia with body mass index in polycystic ovarian syndrome
Journal of Human Reproductive Sciences
body mass index
homocysteine
insulin resistance
polycystic ovary syndrome
title Correlation of serum homocysteine levels and hyperinsulinaemia with body mass index in polycystic ovarian syndrome
title_full Correlation of serum homocysteine levels and hyperinsulinaemia with body mass index in polycystic ovarian syndrome
title_fullStr Correlation of serum homocysteine levels and hyperinsulinaemia with body mass index in polycystic ovarian syndrome
title_full_unstemmed Correlation of serum homocysteine levels and hyperinsulinaemia with body mass index in polycystic ovarian syndrome
title_short Correlation of serum homocysteine levels and hyperinsulinaemia with body mass index in polycystic ovarian syndrome
title_sort correlation of serum homocysteine levels and hyperinsulinaemia with body mass index in polycystic ovarian syndrome
topic body mass index
homocysteine
insulin resistance
polycystic ovary syndrome
url http://www.jhrsonline.org/article.asp?issn=0974-1208;year=2022;volume=15;issue=1;spage=34;epage=41;aulast=Bhushan
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AT parulsinha correlationofserumhomocysteinelevelsandhyperinsulinaemiawithbodymassindexinpolycysticovariansyndrome