Skip to main content
Top

Toward precision rehabilitation: a latent profile analysis of social support as a buffer against fatigue and reduced physical activity in breast cancer chemotherapy

Published in:

Abstract

Purpose

This study aimed to identify distinct patient subgroups based on co-evolving fatigue and physical activity trajectories during chemotherapy and to examine whether perceived social support independently predicts more favorable trajectory membership.

Methods

In a prospective longitudinal study, 226 patients with stage I–III breast cancer were assessed pre-, mid-, and post-chemotherapy. Cancer-related fatigue and moderate-to-vigorous physical activity were repeatedly measured. Baseline assessments included pre-diagnosis physical activity and perceived social support. Parallel-process latent profile analysis identified subgroups, and multinomial logistic regression examined predictors of membership.

Results

Three distinct profiles emerged: a “consistently high-functioning” profile (15.1%) with sustained high activity and low fatigue; a “vulnerable” profile (49.1%) with high fatigue and minimal activity; and an “adaptive” profile (35.8%) showing mid-treatment decline with recovery. After covariate adjustment, higher perceived social support was the sole modifiable factor specifically associated with consistently high-functioning profile membership (aOR = 1.188; 95% CI, 1.024–1.378). Younger age was also predictive.

Conclusions

Patient adaptation during chemotherapy is highly heterogeneous. Perceived social support is a key determinant of the most favorable fatigue activity trajectory. Systematic assessment of social support at diagnosis may facilitate early risk stratification and inform targeted interventions to mitigate activity limitations and improve quality of life.
Title
Toward precision rehabilitation: a latent profile analysis of social support as a buffer against fatigue and reduced physical activity in breast cancer chemotherapy
Authors
Huijie Wei
Wubin He
Publication date
01-03-2026
Publisher
Springer Berlin Heidelberg
Published in
Supportive Care in Cancer / Issue 3/2026
Print ISSN: 0941-4355
Electronic ISSN: 1433-7339
DOI
https://doi.org/10.1007/s00520-026-10508-1
This content is only visible if you are logged in and have the appropriate permissions.
This content is only visible if you are logged in and have the appropriate permissions.

Case simulations: Biomarker-driven management of NSCLC (Link opens in a new window)

Do you want to assess your biomarker testing skills and management decisions? Use these simulation-based case studies based on realistic NSCLC scenarios to do so in a practical and secure environment.

Independent Medical Education Grant:
  • Bayer HealthCare Pharmaceuticals Inc.
Learn more Link opens in a new window
COMMISSIONED

How-to guide for healthcare professionals: understanding genomic reports

This educational activity was initiated, funded and co-developed by Boehringer Ingelheim and is intended for healthcare professionals in the UK and Ireland only. 

Genomic testing helps inform cancer diagnosis, prognosis, and treatment. A genomic report is generated by the laboratory carrying out next-generation sequencing to analyze biopsy samples. Access this educational microsite to learn more about typical genomic report content and how to interpret test results for patients with cancer.

NP-GB-106631 | Jan 2026

Commissioned by:
  • Boehringer Ingelheim
Learn more
Image Credits
Biomarker-driven management of NSCLC logo/© Springer Health+ IME, DNA double helix structure on a purple background/© 2025 Adobe