A latent profile analysis of self‐advocacy and their relationship to differences in unmet cancer needs in patients with breast cancer chemotherapy

Abstract This study aimed to identify self‐advocacy subgroups of female breast cancer chemotherapy patients and to explore the sociodemographic variables of each subgroup and to determine the relationship between self‐advocacy and unmet needs for cancer in different subgroups. A total of 437 female breast cancer patients completed the General Sociodemographic Form, Self‐Advocacy Scale, and Cancer Unmet Needs Scale. Latent profile analysis was applied to explore self‐advocacy subgroups. Socio‐demographic variables in each group were analyzed using univariate and multivariate logistic regression, and ANOVA was used to explore the relationship between each subgroup and unmet need for cancer. The most appropriate is a 3‐class model: advocacy potential group, advocacy balance group, and advocacy maturity and stability group. Age, BMI, marital status, residence, mode of health insurance, average monthly household income, and TCM constitution affect the distribution of self‐advocacy. Female breast cancer chemotherapy patients are heterogeneous in their level of self‐advocacy. It is recommended that healthcare professionals screen multiple levels and types of patients early and provide categorical interventions focusing on age, TCM constitution, and needs.

Authors

Institutions

Publication Details

Journal
Precision Medical Sciences
Published
2025-08-25
DOI
https://doi.org/10.1002/prm2.70009
Primary Topic
Cancer survivorship and care
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

A latent profile analysis of self‐advocacy and their relationship to differences in unmet cancer needs in patients with breast cancer chemotherapy

Zhuyue Ma, Yuanyuan Zhang, Yi Liu, Zhimin Liu
Precision Medical Sciences
Cancer survivorship and care
article

A latent profile analysis of self‐advocacy and their relationship to differences in unmet cancer needs in patients with breast cancer chemotherapy

Zhuyue Ma, Yuanyuan Zhang, Yi Liu, Zhimin Liu
article en

Abstract

Abstract This study aimed to identify self‐advocacy subgroups of female breast cancer chemotherapy patients and to explore the sociodemographic variables of each subgroup and to determine the relationship between self‐advocacy and unmet needs for cancer in different subgroups. A total of 437 female breast cancer patients completed the General Sociodemographic Form, Self‐Advocacy Scale, and Cancer Unmet Needs Scale. Latent profile analysis was applied to explore self‐advocacy subgroups. Socio‐demographic variables in each group were analyzed using univariate and multivariate logistic regression, and ANOVA was used to explore the relationship between each subgroup and unmet need for cancer. The most appropriate is a 3‐class model: advocacy potential group, advocacy balance group, and advocacy maturity and stability group. Age, BMI, marital status, residence, mode of health insurance, average monthly household income, and TCM constitution affect the distribution of self‐advocacy. Female breast cancer chemotherapy patients are heterogeneous in their level of self‐advocacy. It is recommended that healthcare professionals screen multiple levels and types of patients early and provide categorical interventions focusing on age, TCM constitution, and needs.

Precision Medical SciencesVol. 14(3)
Nanjing University of Chinese Medicine (CN)
Government of Jiangsu Province
Openalex Percentile: Top 69%
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.

A latent profile analysis of self‐advocacy and their relationship to differences in unmet cancer needs in patients with breast cancer chemotherapy — Zhuyue Ma, Yuanyuan Zhang, et al. · Precision Medical Sciences (2025) | TGRS Research Map | TGRS