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作 者:蔡喜喜 倪建芬[1] 张锐[1] CAI Xixi;NI Jianfen;ZHANG Rui(Department of Breast Tumor Surgery,Zhejiang Provincial Tumor Hospital,Hangzhou,Zhejiang 310000,China)
机构地区:[1]浙江省肿瘤医院乳腺肿瘤外科,杭州310000
出 处:《重庆医学》2025年第1期202-206,212,共6页Chongqing Medical Journal
基 金:2020年浙江省医药卫生科技计划(2020KY456)。
摘 要:目的了解乳腺癌内分泌治疗患者运动系统症状潜在类别及其影响因素。方法采用方便抽样法于2021年1月至2023年8月选取浙江省某三甲肿瘤医院胸部肿瘤外科门诊收治的乳腺癌内分泌治疗患者为研究对象。采用自行设计的一般资料调查表、乳腺癌内分泌症状评估量表中的运动系统分量表对患者进行调查,并进行潜在剖面分析(LPA)。采用t检验、χ^(2)检验、秩和检验对不同潜在类别的影响因素进行单因素分析,单因素分析中差异有统计学意义的变量采用二元logistic回归进行多因素分析。结果共发放问卷553份,回收有效问卷505份,有效回收率为91.32%。研究对象经LPA,运动系统症状可分为疼痛僵硬(n=116)和影响轻微(n=389)2个潜在类别。二元logistic回归分析结果显示,服药时间和用药种类是影响运动系统症状潜在类别的因素(P<0.05)。结论乳腺癌内分泌治疗患者运动系统症状存在分类特征。医护人员需尽早觉察疼痛僵硬类患者,定期了解其运动系统症状和临床检查结果。Objective To understand the potential types and influencing factors of motor system symptoms 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 investigate the patients,and the latent profile analysis(LPA)was performed.The t test,χ^(2) 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 conducting multivariate analysis.Results A total of 553 questionnaires were distributed,and 505 valid questionnaires 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.
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