Trajectories and predictors of benefit finding among patients with colorectal cancer undergoing chemotherapy: A longitudinal observational study
Year: 2025
Type: article
Study design: Observational Study
Abstract: Objective This study aimed to examine the longitudinal trajectories of benefit finding (BF) among patients with colorectal cancer undergoing chemotherapy and to identify predictors associated with these trajectories to inform tailored psychosocial interventions. Methods A total of 191 patients were recruited from three tertiary hospitals in Southwest China. Baseline data were collected before chemotherapy initiation (T0) using the General Information Questionnaire, the Brief Illness Perception Questionnaire, the Distress Disclosure Index, and the Benefit Finding Scale. BF levels were reassessed after the first (T1), third (T2), and sixth (T3) chemotherapy cycles. Growth mixture modeling was applied to identify distinct BF trajectories over time, followed by multivariate logistic regression to determine predictors of trajectory membership. Results Among 173 patients who completed all assessments, three BF trajectories were identified: moderate-to-increasing (11.6%), low-to-increasing (63.0%), and high-to-decreasing (25.4%). Marital status, place of residence, cancer stage, stoma history, baseline illness perception, and self-disclosure were significant predictors of trajectory classification (all P < 0.05). Conclusions Patients with colorectal cancer exhibited heterogeneous patterns of benefit finding throughout chemotherapy. Marital status, residence, stoma history, illness perception, and self-disclosure emerged as key factors shaping these trajectories. Identifying distinct patient subgroups based on these characteristics may help guide personalized interventions to promote psychological adjustment during treatment.
Authors: Fangyi Li, Linyu Zhou, Biao He, Xiaoli Huang, Chunmei Liu, Qing Li, Qiumei Ma, Tian Xiao, Ruihan Xiao, Ao Tang, Xueqin Qiu, Xiaoju Chen
Language: English
Topic: Cancer survivorship and care
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $1,980
Funder: Chengdu Medical College
OpenAlex ID: W4415220437
