Factor Analysis of the Multi-Item Functional Subscales of the EORTC QLQ-C30 and Its Relationship with Perceived Stress and Community Participation

Purpose/Objective: The aim of this study was to examine the factor structure of the functional subscale items of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30) among Turkish cancer patients and its associations with perceived stress and community participation. Research Method/Design: A total of 186 Turkish cancer patients completed a demographic information form, the EORTC-QLQ-30, the Perceived Stress Scale, and the Impact on Participation and Autonomy (IPA) scale. Exploratory factor analysis (EFA), t -tests, and Pearson’s correlation coefficients were used to analyze the data. Results: The EFA results suggested a three-factor structure: mental, physical, and social and role functioning. Multitrait scaling analysis confirmed the extracted factor structure with item discrimination and convergence. All factors demonstrated good reliability. Mental, physical, and social and role functioning were significantly, but differentially, associated with perceived stress and community participation domains in the expected direction. Conclusions/Implications: The findings provide valuable insights into functioning and its related factors in a Turkish cancer population, emphasizing the need for targeted interventions, such as accommodations and counseling services, to improve the functioning levels of people with cancer in Turkey.

Authors

Institutions

Publication Details

Journal
Rehabilitation Counseling Bulletin
Published
2026-08-24
DOI
https://doi.org/10.1177/00343552261478249
Primary Topic
Cancer survivorship and care
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factor Analysis of the Multi-Item Functional Subscales of the EORTC QLQ-C30 and Its Relationship with Perceived Stress and Community Participation

Fong Chan, Elif Gökçearslan, Seval Bekiroğlu, Cahit Kaya et al.
Rehabilitation Counseling Bulletin
Cancer survivorship and care
article

Factor Analysis of the Multi-Item Functional Subscales of the EORTC QLQ-C30 and Its Relationship with Perceived Stress and Community Participation

Fong Chan, Elif Gökçearslan, Seval Bekiroğlu, Cahit Kaya, Jia-Rung Wu, Kanako Iwanaga
article en

Abstract

Purpose/Objective: The aim of this study was to examine the factor structure of the functional subscale items of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30) among Turkish cancer patients and its associations with perceived stress and community participation. Research Method/Design: A total of 186 Turkish cancer patients completed a demographic information form, the EORTC-QLQ-30, the Perceived Stress Scale, and the Impact on Participation and Autonomy (IPA) scale. Exploratory factor analysis (EFA), t -tests, and Pearson’s correlation coefficients were used to analyze the data. Results: The EFA results suggested a three-factor structure: mental, physical, and social and role functioning. Multitrait scaling analysis confirmed the extracted factor structure with item discrimination and convergence. All factors demonstrated good reliability. Mental, physical, and social and role functioning were significantly, but differentially, associated with perceived stress and community participation domains in the expected direction. Conclusions/Implications: The findings provide valuable insights into functioning and its related factors in a Turkish cancer population, emphasizing the need for targeted interventions, such as accommodations and counseling services, to improve the functioning levels of people with cancer in Turkey.

Rehabilitation Counseling Bulletin
University of Wisconsin–Madison (US), Ankara University (TR), Virginia Commonwealth University (US), Başkent University (TR), Adıyaman University (TR), Northeastern Illinois University (US)
Reduced inequalities
Openalex Percentile: Top 13%
Cancer survivorship and care
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.