主管:国家卫生健康委员会
主办:国家卫生健康委医院管理研究所
中国科技核心期刊(中国科技论文统计源期刊)
中国科学引文数据库(CSCD)核心库期刊
《中文核心期刊要目总览》核心期刊

中国护理管理 ›› 2026, Vol. 26 ›› Issue (1): 50-55.doi: 10.3969/j.issn.1672-1756.2026.01.011

• 论著 • 上一篇    下一篇

阿尔茨海默病患者主要照顾者照护负荷轨迹及影响因素分析

潘莉 郭慧鑫 蔡景曦 蔡佳佳 许佳丽 沈校康   

  1. 浙江省立同德医院老年四科,310012 杭州市(潘莉,郭慧鑫,蔡景曦,许佳丽);ICU(蔡佳佳);精神康复治疗科(沈校康)
  • 出版日期:2026-01-15 发布日期:2026-01-15
  • 通讯作者: 沈校康,本科,主管护师,E-mail:393826177@qq.com
  • 作者简介:潘莉,本科,护师
  • 基金资助:
    浙江省中医药科技计划项目(2023KY626)

Trajectories and influencing factors of caregiving burden among primary caregivers of Alzheimer Disease patients

PAN Li, GUO Huixin, CAI Jingxi, CAI Jiajia, XU Jiali, SHEN Xiaokang   

  1. Department of Geriatric Medicine IV, Department of Critical Care Medicine, Department of Psychiatric Rehabilitation, Zhejiang Provincial Tongde Hospital, Hangzhou, 310012, China
  • Online:2026-01-15 Published:2026-01-15
  • Contact: E-mail:393826177@qq.com

摘要: 目的:分析老年阿尔茨海默病患者的主要照顾者照护负荷的异质性轨迹变化及其影响因素,旨在为优化照护管理、制定针对性干预措施提供参考。方法:采用一般资料调查表、照护者负荷量表、广泛性焦虑障碍量表、家庭抗逆力评定量表和照顾者获益感问卷,对便利选取的2022年1月至2024年1月在浙江省某三级甲等医院就诊的222例老年阿尔茨海默病患者的主要照顾者进行问卷调查,在开始照护后的第1个月、3个月、6个月和9个月进行随访调查。采用潜类别增长分析方法拟合照护负荷轨迹类别,采用Logistic回归分析影响因素。结果:198例照顾者完成全部随访,拟合出3条异质性轨迹,分别为照护负荷缓慢增长组(41.92%)、照护负荷快速增长组(35.35%)和照护负荷稳定组(22.73%)。患者病程,照顾者年龄、焦虑情况、家庭抗逆力以及获益感水平是影响其轨迹分类的因素(P<0.05)。结论:老年阿尔茨海默病患者的主要照顾者照护负荷呈现不同的异质性轨迹变化,可根据影响因素进行早期识别及干预。

关键词: 阿尔茨海默病;照护负荷;轨迹;潜类别增长

Abstract: Objective: To analyze the heterogeneous trajectories of caregiving burden among primary caregivers of elderly Alzheimer Disease patients and explore influencing factors, to provide references for optimizing care management and formulating targeted intervention measures. Methods: A total of 222 caregivers from a tertiary grade A hospital in Zhejiang province selected by convenience sampling method were surveyed from January 2022 to January 2024 using standardized questionnaires on demographics, caregiver burden, anxiety, family resilience, and benefit finding. Follow-up assessments were conducted at 1, 3, 6, and 9 months after caregiving began. Latent class growth analysis was used to identify burden trajectories, Logistic regression was used to analyze influencing factors. Results: Of the participants, 198 completed all follow-ups. Three distinct burden trajectories were identified: slow growth (41.92%), rapid growth (35.35%), and stable burden (22.73%). Disease stages of patient, caregiver's age, anxiety, family resilience, and benefit finding were influencing factors of trajectories (P<0.05). Conclusion: Caregiving burden among Alzheimer Disease caregivers shows heterogeneous changes over time. Early identification and intervention can be conducted based on influencing factors.

Key words: Alzheimer Disease; caregiver burden; trajectory; latent class growth

中图分类号:  R47;R197