Risk of obstructive sleep apnea in patients with polycystic ovary syndrome by body mass index: Retrospective cohort study with Korean nationwide population‐based cohort

OBJECTIVE: Polycystic ovary syndrome (PCOS) is a gynecologic endocrine disorder affecting various aspects of women's health. Research examining the association between PCOS, obesity, and obstructive sleep apnea (OSA) in Korean populations remains limited. We assessed OSA risk in Korean with PCOS, considering body mass index (BMI). METHODS: We conducted a retrospective cohort study using health insurance claims data from the National Health Insurance Service. We selected 33 638 people with PCOS and 98 110 controls with available BMI data. This is a subgroup representing our previous retrospective cohort study, which identified the relationship between PCOS and several mental disorders. Hazard ratios (HR) for PCOS were calculated using Cox proportional hazards regression models. RESULTS: Obese individuals had a higher prevalence of OSA (0.60% in people with PCOS, 0.20% in controls) compared with the non-obese individuals (0.12% in people with PCOS, 0.13% in controls). PCOS (hazard ratio [HR]: 1.483, 95% confidence interval [CI]: 1.029-2.137) and BMI (HR: 1.104, 95% CI: 1.069-1.141) were associated with an increased risk of OSA. CONCLUSION: Our findings suggest that the risk of OSA is higher in people with PCOS. This research holds significance by indicating that obesity at the time of PCOS diagnosis could serve as a potential predictor for OSA. This study supports international PCOS guidelines that recommend screening and managing OSA.

Authors

Institutions

Publication Details

Journal
International Journal of Gynecology & Obstetrics
Published
2026-11-09
DOI
https://doi.org/10.1002/ijgo.71479
Primary Topic
Obstructive Sleep Apnea Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Risk of obstructive sleep apnea in patients with polycystic ovary syndrome by body mass index: Retrospective cohort study with Korean nationwide population‐based cohort

김채원, Y.O. Kim, Youn‐Jee Chung, Kyunghee Chae et al.
International Journal of Gynecology & Obstetrics
Obstructive Sleep Apnea Research
article

Risk of obstructive sleep apnea in patients with polycystic ovary syndrome by body mass index: Retrospective cohort study with Korean nationwide population‐based cohort

김채원, Y.O. Kim, Youn‐Jee Chung, Kyunghee Chae, Jeong Namkung, Sukil Kim, Hyonjee Yoon
article en

Abstract

OBJECTIVE: Polycystic ovary syndrome (PCOS) is a gynecologic endocrine disorder affecting various aspects of women's health. Research examining the association between PCOS, obesity, and obstructive sleep apnea (OSA) in Korean populations remains limited. We assessed OSA risk in Korean with PCOS, considering body mass index (BMI). METHODS: We conducted a retrospective cohort study using health insurance claims data from the National Health Insurance Service. We selected 33 638 people with PCOS and 98 110 controls with available BMI data. This is a subgroup representing our previous retrospective cohort study, which identified the relationship between PCOS and several mental disorders. Hazard ratios (HR) for PCOS were calculated using Cox proportional hazards regression models. RESULTS: Obese individuals had a higher prevalence of OSA (0.60% in people with PCOS, 0.20% in controls) compared with the non-obese individuals (0.12% in people with PCOS, 0.13% in controls). PCOS (hazard ratio [HR]: 1.483, 95% confidence interval [CI]: 1.029-2.137) and BMI (HR: 1.104, 95% CI: 1.069-1.141) were associated with an increased risk of OSA. CONCLUSION: Our findings suggest that the risk of OSA is higher in people with PCOS. This research holds significance by indicating that obesity at the time of PCOS diagnosis could serve as a potential predictor for OSA. This study supports international PCOS guidelines that recommend screening and managing OSA.

International Journal of Gynecology & Obstetrics
The Catholic University of Korea Seoul St. Mary's Hospital (KR), The Catholic University of Korea Eunpyeong St. Mary's Hospital (KR), Catholic University of Korea (KR)
Obstructive Sleep Apnea Research
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.

Laika access coming soon