# Development and validation of the polycystic ovary syndrome-related complaint severity scale

**Authors:** Özlem Kaplan, Mürüvvet Başer, Nurseli Soylu Erener, Ali Kaplan, Busra Emir, Gökhan Açmaz

PMC · DOI: 10.1590/1806-9282.20250981 · Revista da Associação Médica Brasileira · 2026-03-30

## TL;DR

This study created and validated a new scale to measure the severity of complaints in women with polycystic ovary syndrome.

## Contribution

A novel and validated scale for assessing PCOS-related complaints was developed and tested for reliability and validity.

## Key findings

- A four-factor structure was identified, explaining 57.416% of the variance.
- The scale showed good model fit with RMSEA=0.065 and CFI=0.913.
- High internal consistency (Cronbach’s alpha=0.897) and strong test–retest reliability were confirmed.

## Abstract

The aim of this study was to develop and validate the Severity of the Complaints Related to Polycystic Ovary Syndrome Scale.

This methodological study employed exploratory factor analysis and confirmatory factor analysis. Internal consistency was assessed through item–total correlations and the test–retest method.

Exploratory factor analysis revealed a four-factor structure explaining 57.416% of the variance. Confirmatory factor analysis results confirmed a good model fit (χ2/df=3.094, RMSEA=0.065, CFI=0.913, GFI=0.910). The overall Cronbach’s alpha coefficient was 0.897. In the test–retest reliability analyses, significant correlations were found between all items and factor scores across the two administrations (p<0.001).

The scale is a valid and reliable measure for assessing the severity of complaints related to Polycystic Ovary Syndrome Scale.

## Linked entities

- **Diseases:** Polycystic Ovary Syndrome (MONDO:0008487)

## Full-text entities

- **Diseases:** Polycystic Ovary Syndrome (MESH:D011085)

## Full text

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## Figures

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## References

25 references — full list in the complete paper: https://tomesphere.com/paper/PMC13035197/full.md

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Source: https://tomesphere.com/paper/PMC13035197