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乳腺癌化疗病人症状群轨迹的潜在类别及影响因素OA

Potential categories and influencing factors of symptom cluster trajectories in breast cancer patients undergoing chemotherapy

中文摘要英文摘要

目的:探讨乳腺癌化疗病人症状群发展轨迹的潜在类别及影响因素.方法:采取便利抽样法,选取2024年7月—12月某市1所三级甲等医院首次化疗的乳腺癌住院病人225例为调查对象.采用一般资料调查表、记忆症状评估量表、心理一致感量表、女性癌症幸存者自我倡权量表,在病人接受化疗前1 d、第1次化疗后7 d、第2次化疗后7 d、第3次化疗后7 d及第4次化疗后7 d进行调查,应用潜类别增长模型进行数据分析.结果:乳腺癌化疗病人症状群轨迹存在2个潜在类别,分别为高水平显著上升组(20.4%)和低水平缓慢上升组(79.6%).Logistic回归分析显示,职业、家庭所在地、是否存在合并症、自我倡权能力及心理一致感是乳腺癌化疗病人症状群轨迹类别的影响因素(P<0.05).结论:乳腺癌化疗病人症状群分为2种变化轨迹且存在群体异质性,护理人员应对不同轨迹类别的病人实施个性化的支持护理.

Objective:To explore the potential categories and influencing factors of symptom cluster trajectories in breast cancer patients undergoing chemotherapy.Methods:A convenience sampling method was adopted to select 225 breast cancer inpatients who underwent their first chemotherapy at a tertiary grade A hospital in a certain city from July to December 2024 as the survey subjects.General information questionnaires,Memorial Symptom Assessment Scale,Sense of Coherence Scale,and Female Self-Advocacy in Cancer Survivorship were used to conduct the survey on 1st day before chemotherapy,7th day after the first chemotherapy,7th day after the second chemotherapy,7th day after the third chemotherapy,and 7th day after the fourth chemotherapy.Data analysis was performed using the latent class growth model.Results:There were two potential categories in the symptom cluster trajectories of breast cancer patients undergoing chemotherapy,namely the high-level significant increase group(20.4%)and the low-level slow increase group(79.6%).Logistic regression analysis showed that occupation,place of residence,presence of comorbidities,self-advocacy ability,and sense of coherence were the influencing factors for the symptom cluster trajectory categories of breast cancer patients undergoing chemotherapy(P<0.05).Conclusions:The symptom clusters of breast cancer patients undergoing chemotherapy could be divided into two different trajectories.There is also group heterogeneity.Nursing staff should provide personalized support care for patients belonging to different trajectory categories.

杨茜尧;郭榕;贾成方;刘莹;唐惠艳

华北理工大学护理与康复学院,河北 063210华北理工大学护理与康复学院,河北 063210华北理工大学护理与康复学院,河北 063210华北理工大学护理与康复学院,河北 063210华北理工大学护理与康复学院,河北 063210

乳腺癌症状群潜类别增长模型影响因素护理

breast cancersymptom clusterlatent class growth modelinfluencing factorsnursing

《护理研究》 2026 (8)

1281-1288,8

2026年度河北省医学科学研究课题计划,编号:20260671

10.12102/j.issn.1009-6493.2026.08.006

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