Association between Bone Mineral Density and Insulin Resistance in Polycystic Ovarian Syndrome – A Case–control Observational Study

BACKGROUND: Polycystic ovarian syndrome (PCOS) has bidirectional effects on the skeleton due to hormonal dysfunction and insulin resistance (IR). AIMS: We examined bone mineral density (BMD) and its relationship with IR using the homeostasis model of assessment (HOMA) in patients with PCOS and matched controls. MATERIALS AND METHODS: In this case-control observational study, we included 74 patients newly diagnosed with PCOS and a similar number of age-and weight-matched healthy women as controls. Haematological, biochemical and hormonal parameters were measured in a fasting blood sample during the follicular phase, and the BMD Z score was calculated using dual energy X-ray absorptiometry. The results were analysed using relevant statistical methods, and P < 0.05 was considered significant. RESULTS: The study participants ( n = 148) had a mean age of 23.6 ± 3.7 years and a body mass index (BMI) of 25.2 ± 3.2 kg/m 2 . Among the PCOS patients, 25 (34%) had a normal BMI and 49 (66%) were obese. The BMD at the femoral neck ( P = 0.4313) and lumbar spine ( P = 0.1410) was comparable between the PCOS and control groups. Correlation analysis showed a positive correlation of BMD with testosterone and 17-hydroxy progesterone (17OHP) ( P < 0.001). None of the BMD parameters correlated with HOMA in either group. CONCLUSION: BMD at the lumbar spine and femoral neck was similar between patients with PCOS and controls. Further studies with a larger sample size, longer follow-up periods and fracture data are needed to confirm our findings.

Authors

Publication Details

Journal
Nigerian Postgraduate Medical Journal
Published
2026-05-01
DOI
https://doi.org/10.4103/npmj.npmj_579_25
Primary Topic
Ovarian function and disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association between Bone Mineral Density and Insulin Resistance in Polycystic Ovarian Syndrome – A Case–control Observational Study

Anushri Sridharan, Sravanthi Mashetty, Sai Ramya Vasamsetti, Lalitha A.V. Alekya et al.
Nigerian Postgraduate Medical Journal
Ovarian function and disorders
article

Association between Bone Mineral Density and Insulin Resistance in Polycystic Ovarian Syndrome – A Case–control Observational Study

Anushri Sridharan, Sravanthi Mashetty, Sai Ramya Vasamsetti, Lalitha A.V. Alekya, K. M. Prasanna Kumar, Sayyad Aleem, Sanjay Kumar, Arun Guddeti
article en

Abstract

BACKGROUND: Polycystic ovarian syndrome (PCOS) has bidirectional effects on the skeleton due to hormonal dysfunction and insulin resistance (IR). AIMS: We examined bone mineral density (BMD) and its relationship with IR using the homeostasis model of assessment (HOMA) in patients with PCOS and matched controls. MATERIALS AND METHODS: In this case-control observational study, we included 74 patients newly diagnosed with PCOS and a similar number of age-and weight-matched healthy women as controls. Haematological, biochemical and hormonal parameters were measured in a fasting blood sample during the follicular phase, and the BMD Z score was calculated using dual energy X-ray absorptiometry. The results were analysed using relevant statistical methods, and P < 0.05 was considered significant. RESULTS: The study participants ( n = 148) had a mean age of 23.6 ± 3.7 years and a body mass index (BMI) of 25.2 ± 3.2 kg/m 2 . Among the PCOS patients, 25 (34%) had a normal BMI and 49 (66%) were obese. The BMD at the femoral neck ( P = 0.4313) and lumbar spine ( P = 0.1410) was comparable between the PCOS and control groups. Correlation analysis showed a positive correlation of BMD with testosterone and 17-hydroxy progesterone (17OHP) ( P < 0.001). None of the BMD parameters correlated with HOMA in either group. CONCLUSION: BMD at the lumbar spine and femoral neck was similar between patients with PCOS and controls. Further studies with a larger sample size, longer follow-up periods and fracture data are needed to confirm our findings.

Nigerian Postgraduate Medical JournalVol. 33(3)
Good health and well-being
Openalex Percentile: Top 9%
Ovarian function and disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.