Cognitive Function Among Cancer Patient Undergoing Chemotherapy:A Latent Profile Analysis

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Authors: Hongyu Xue, Qiqi Chen, Yingtong Meng, Xiaohua Ge
Cited by: 0
References: 25

Abstract

Abstract Background Chemotherapy-induced cognitive dysfunction is a multifaceted and intricate experience that can significantly impact a patient's daily life, mental well-being,and social functioning.This study aimed to elucidate the profiles and determinants of cognitive function in cancer patients receiving chemotherapy. Methods A cross-sectional study was conducted with 612 cancer patients receiving chemotherapy. Participants were recruited through convenience sampling from those receiving treatment at a tertiary-level hospital in Shanghai. General information questionnaire, Functional Assessment of Cancer Therapy-Cognitive Function(FACT-Cog), The10-item Kessler Psychological Distress Scale(K10), and Social Support Rating Scale(SSRS) were used to collect the data. Latent profle analysis was used to explore the latent profles of cognitive function in cancer patients.Analysis.Furthermore,Univariate analysis and Binomial logistic regression analysis were conducted to identify the key influences on these profiles. Results Based on the latent profile analysis results,three potential categories for the type of cognitive function among cancer patients were identified:moderate cognition-stable group (Class 1,20.75%),cognitive impairment group (Class 2,11.60%),high cognition-overall good group (Class 3,67.75%).Among people with various subtypes of cognitive function,there were statistically significant distinctions in cancer stage and cardiovascular disease(P< 0.05). Conclusions Cognitive function among chemotherapy patients is highly heterogeneous and multifactorial.Healthcare professionals should focus on promoting diverse cognitive activities to delay the decline in cognitive function.

Fields of Study & Subjects

Cancer-related cognitive impairment studies Cancer survivorship and care Intensive Care Unit Cognitive Disorders

Publication details

Journal / source
Research Square
Publication date
24 February 2026
Language
EN
Document type
Preprint