Influencing factors analysis of potential category of motor system symptoms in breast cancer patients with endocrine therapy
10.3969/j.issn.1671-8348.2025.01.037
- VernacularTitle:乳腺癌内分泌治疗患者运动系统症状潜在类别的影响因素分析
- Author:
Xixi CAI
1
;
Jianfen NI
;
Rui ZHANG
Author Information
1. 浙江省肿瘤医院乳腺肿瘤外科,杭州 310000
- Keywords:
breast cancer;
endocrine therapy;
motor system symptoms;
latent profile analysis;
influence factor
- From:
Chongqing Medicine
2025;54(1):202-206,212
- CountryChina
- Language:Chinese
-
Abstract:
Objective To understand the potential types and influencing factors of motor system symp-toms in breast cancer patients with endocrine therapy.Methods The convenience sampling method was used to select 505 breast cancer patients with endocrine therapy in a class 3A hospital of Zhejiang Province from January 2021 to August 2023 as the research subjects.The self-designed general information questionnaire and the motor system subscale in the Breast Cancer Endocrine Symptom Assessment Scale were used to investi-gate the patients,and the latent profile analysis(LPA)was performed.The t test,x2 test and rank sum test were adopted to conduct the univariate analysis on the influencing factors of different latent categories.The variables with statistical significance in the single factor analysis adopted the binary logistic regression for con-ducting multivariate analysis.Results A total of 553 questionnaires were distributed,and 505 valid question-naires were recovered with an effective recovery rate of 91.32％.The research subjects conducted LPA.The motor system symptoms could be divided into the two potential categories of the pain and stiffness group(n=116)and slight influence group(n=389).The binary logistic regression results showed that the medication time and medication type were the potential category factors affecting the motor system symptoms(P＜0.05).Conclusion There are classification characteristics of motor system symptoms in breast cancer patients with endocrine therapy.The medical and nursing staff should early identify the patients with pain and stiffness,and understand the symptoms of motor system and clinical detection results at regular intervals.
