Risk factors for low self-care self-efficacy in cancer survivors: Application of latent profile analysis
Related Experiment Video
Updated: Nov 5, 2025

Measuring the Motor Aspect of Cancer-Related Fatigue using a Handheld Dynamometer
Published on: February 20, 2020
Qingmei Huang1, Fulei Wu1, Wen Zhang1
1School of Nursing, Fudan University, Shanghai, China.
Aim:
To identify subgroups of cancer patients with distinct self-care self-efficacy profiles and to explore factors that can be used to predict those at risk of low self-efficacy.
Design:
A secondary analysis of data pooled from two cross-sectional surveys was performed.
Methods:
In total, 1,367 Chinese cancer survivors were included in the analysis. Latent profile analysis (LPA) was performed to categorize participants into latent subgroups with distinct self-efficacy profiles. Multinomial logistic regression was conducted to identify predictors of self-care self-efficacy subgroup classification.
Results:
We identified three distinct subgroups: low, medium and high self-care self-efficacy. Patients with the "low" profile, which was characterized by a low education level, single marital status, complications, late cancer stage and a lower level of social support, had the poorest self-care behaviour.
More Related Videos
06:46Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
06:28E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy
Published on: August 1, 2019
Related Concept Videos
Cancer Survival Analysis
Stress Prevention and Stress Management Techniques I
Conscientiousness
Conscientious individuals tend to be organized, responsible, and disciplined. They prioritize completing tasks and following structured routines,...
Sources of Self-Esteem II: Performance Feedback
Self-Presentation: Self-Monitoring and Self-Handicapping
Self-Efficacy
Self-Serving Bias