Risk of Mental Disorders in Polycystic Ovary Syndrome: Retrospective Cohort Study of a Korean Nationwide Population-Based Cohort

Our results suggest that PCOS patients have increased risk of depressive disorders, bipolar disorders, anxiety disorders, and sleep disorders. This study supports international PCOS guidelines that recommend screening for mental health disorders.

Authors

Institutions

Publication Details

Journal
International Journal of Women s Health
Published
2025-03-01
DOI
https://doi.org/10.2147/ijwh.s490673
Citations
1
Primary Topic
Ovarian function and disorders
Type
article
Field-Weighted Citation Impact
1.70
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Risk of Mental Disorders in Polycystic Ovary Syndrome: Retrospective Cohort Study of a Korean Nationwide Population-Based Cohort

So Yeon Kang, Kyunghee Chae, Sukil Kim, Young-Jin Kim et al.
1 citations
International Journal of Women s Health
Ovarian function and disorders
1.70
article

Risk of Mental Disorders in Polycystic Ovary Syndrome: Retrospective Cohort Study of a Korean Nationwide Population-Based Cohort

So Yeon Kang, Kyunghee Chae, Sukil Kim, Young-Jin Kim, Jeong Namkung, Hyonjee Yoon
article en
1 citations

Abstract

Our results suggest that PCOS patients have increased risk of depressive disorders, bipolar disorders, anxiety disorders, and sleep disorders. This study supports international PCOS guidelines that recommend screening for mental health disorders.

International Journal of Women s HealthVol. Volume 17
Catholic University of Korea (KR)
Openalex Percentile: Top 19%
Ovarian function and disorders
1.70
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.