Development of a self-care scale for women with polycystic ovary syndrome: a methodological approach

This validated scale provides a reliable tool to measure self-care practices in women with PCOS, a common but often overlooked chronic condition. It can be used in clinical and public health settings to promote effective self-management, guide individualized care, and support the development of evidence-based interventions aimed at improving women's health outcomes.

Authors

Institutions

Publication Details

Journal
Frontiers in Public Health
Published
2025-10-17
DOI
https://doi.org/10.3389/fpubh.2025.1656010
Primary Topic
Eating Disorders and Behaviors
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of a self-care scale for women with polycystic ovary syndrome: a methodological approach

Miok Kim
Frontiers in Public Health
Eating Disorders and Behaviors
article

Development of a self-care scale for women with polycystic ovary syndrome: a methodological approach

Miok Kim
article en

Abstract

This validated scale provides a reliable tool to measure self-care practices in women with PCOS, a common but often overlooked chronic condition. It can be used in clinical and public health settings to promote effective self-management, guide individualized care, and support the development of evidence-based interventions aimed at improving women's health outcomes.

Frontiers in Public HealthVol. 13
Dankook University (KR)
National Research Foundation, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 59%
Eating Disorders and Behaviors
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.