Identifying the heterogeneity of self-advocacy in Chinese patients with breast cancer using latent profile analysis and symptom networks.

ABSTRACT:

Objective

This study aims to identify subgroups of self-advocacy in patients with breast cancer, assess the heterogeneity among different subgroups, and further delineate symptom networks within each subgroup.

Methods

A cross-sectional survey was conducted among 320 patients with breast cancer in Wuxi, China, from September 2023 to March 2024, who completed questionnaires about their demographic and clinical characteristics, the M.D. Anderson Symptom Inventory, and the Female Self Advocacy in Cancer Survivorship scale. Latent profile analysis was conducted to identify subgroups of self-advocacy. Multinomial logistic regression was employed to reveal the heterogeneity of each subgroup in demographics and clinical characteristics. Network analysis was performed to unveil the n

SUBMITTER: Teng L 

PROVIDER: S-EPMC11783386 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature