Du Jinlei, Wu Xiaoling, Zhang Qiyu, Wang Yuanxia, Chen Yao, Nie Chencong
Zigong Fourth People's Hospital, Zigong, China.
Front Psychol. 2025 Jan 28;16:1507591. doi: 10.3389/fpsyg.2025.1507591. eCollection 2025.
This study aims to explore the latent profiles of fatalism among community-dwelling disabled elderly individuals and identify the key factors influencing these profiles. The findings will provide valuable insights for formulating tailored care management strategies for this population.
A cross-sectional survey study.
A random sampling approach was used to survey disabled elderly individuals residing in 109 communities across eight urban districts in Sichuan Province. Data were collected through a general information questionnaire and a Fatalism Scale. Latent profile analysis was performed to identify distinct fatalism profiles, and multivariate unordered regression analysis was conducted to assess their influencing factors.
Three distinct latent profiles of fatalism were identified: high fatalism and pessimism tendency (35.6%), moderate fatalism and low optimism tendency (9.6%), and low fatalism with relative optimism tendency (54.8%). Multivariate analysis revealed that living arrangements, number of children, educational level, duration of disability, and self-reported economic stress were significant factors influencing these fatalism profiles.
There is significant heterogeneity in fatalism among community-dwelling disabled elderly individuals. Caregivers and healthcare managers can develop more precise and personalized management strategies by considering the different latent profiles and their associated influencing factors.
本研究旨在探讨社区居住的残疾老年人中宿命论的潜在特征，并确定影响这些特征的关键因素。研究结果将为制定针对该人群的个性化护理管理策略提供有价值的见解。
横断面调查研究。
采用随机抽样方法，对四川省八个城区109个社区的残疾老年人进行调查。通过一般信息问卷和宿命论量表收集数据。进行潜在特征分析以识别不同的宿命论特征，并进行多变量无序回归分析以评估其影响因素。
确定了三种不同的宿命论潜在特征：高宿命论和悲观倾向（35.6%）、中度宿命论和低乐观倾向（9.6%）以及低宿命论和相对乐观倾向（54.8%）。多变量分析显示，生活安排、子女数量、教育水平、残疾持续时间和自我报告的经济压力是影响这些宿命论特征的重要因素。
社区居住的残疾老年人在宿命论方面存在显著异质性。照顾者和医疗保健管理者可以通过考虑不同的潜在特征及其相关影响因素，制定更精确和个性化的管理策略。
