Kontribusi Kegemukan dan Resistensi Insulin dalam Perkembangan Sindrom Ovarium Polikistik: Suatu Kajian Pustaka

Polycystic Ovary Syndrome (PCOS) is a complex endocrine disorder affecting reproductive-age women and is closely associated with metabolic disturbances such as overweight and insulin resistance. More than 50% of women with PCOS are overweight, which exacerbates ovulatory dysfunction and increases androgen levels. Insulin resistance, found in approximately 50% of PCOS patients—even those with normal body weight—triggers hyperinsulinemia that stimulates androgen production and suppresses ovulation. This study aims to analyze the contribution of overweight and insulin resistance to the development of PCOS through a literature review approach. Scientific articles were retrieved from databases such as PubMed and Google Scholar, focusing on publications from the last five years. The findings indicate that overweight and insulin resistance mutually reinforce hormonal and ovulatory dysfunction typical in PCOS patients. Recent studies show that higher body mass index (BMI) and elevated HOMA-IR levels are strongly associated with menstrual irregularities, hyperandrogenism, and reduced quality of life. In conclusion, overweight and insulin resistance are two major contributing factors to PCOS pathogenesis and influence reproductive success. Clinical management should consider a comprehensive approach targeting both factors through lifestyle interventions and pharmacological therapy.

Authors

Institutions

Publication Details

Journal
Jurnal Mahasiswa Ilmu Kesehatan
Published
2025-04-21
DOI
https://doi.org/10.59841/jumkes.v3i2.2581
Primary Topic
Apelin-related biomedical research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Kontribusi Kegemukan dan Resistensi Insulin dalam Perkembangan Sindrom Ovarium Polikistik: Suatu Kajian Pustaka

Juwana Janu, Dini Mardhiyani
Jurnal Mahasiswa Ilmu Kesehatan
Apelin-related biomedical research
article

Kontribusi Kegemukan dan Resistensi Insulin dalam Perkembangan Sindrom Ovarium Polikistik: Suatu Kajian Pustaka

Juwana Janu, Dini Mardhiyani
article en

Abstract

Polycystic Ovary Syndrome (PCOS) is a complex endocrine disorder affecting reproductive-age women and is closely associated with metabolic disturbances such as overweight and insulin resistance. More than 50% of women with PCOS are overweight, which exacerbates ovulatory dysfunction and increases androgen levels. Insulin resistance, found in approximately 50% of PCOS patients—even those with normal body weight—triggers hyperinsulinemia that stimulates androgen production and suppresses ovulation. This study aims to analyze the contribution of overweight and insulin resistance to the development of PCOS through a literature review approach. Scientific articles were retrieved from databases such as PubMed and Google Scholar, focusing on publications from the last five years. The findings indicate that overweight and insulin resistance mutually reinforce hormonal and ovulatory dysfunction typical in PCOS patients. Recent studies show that higher body mass index (BMI) and elevated HOMA-IR levels are strongly associated with menstrual irregularities, hyperandrogenism, and reduced quality of life. In conclusion, overweight and insulin resistance are two major contributing factors to PCOS pathogenesis and influence reproductive success. Clinical management should consider a comprehensive approach targeting both factors through lifestyle interventions and pharmacological therapy.

Jurnal Mahasiswa Ilmu KesehatanVol. 3(2)
Sumatera Institute of Technology (ID)
Openalex Percentile: Top 86%
Apelin-related biomedical 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.