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ORIGINAL RESEARCH article

Front. Psychol.
Sec. Psychology of Aging
Volume 16 - 2025 | doi: 10.3389/fpsyg.2025.1507591
This article is part of the Research Topic Aging and Work View all 4 articles

Latent Profile Analysis of Fatalism and Its Influencing Factors Among Community-Dwelling Disabled Elderly Individuals

Provisionally accepted
Jinlei Du Jinlei Du Xiaoling Wu Xiaoling Wu *Qiyu Zhang Qiyu Zhang *Yuanxia Wang Yuanxia Wang *Yao Chen Yao Chen *Chencong Nie Chencong Nie *
  • Zigong Fourth People's Hospital, Zigong, China

The final, formatted version of the article will be published soon.

    Objective: 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.Methods: 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.Results: 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.

    Keywords: Community, Disabled elderly, Fatalism, profile analysis, Influence factor

    Received: 08 Oct 2024; Accepted: 08 Jan 2025.

    Copyright: © 2025 Du, Wu, Zhang, Wang, Chen and Nie. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Xiaoling Wu, Zigong Fourth People's Hospital, Zigong, China
    Qiyu Zhang, Zigong Fourth People's Hospital, Zigong, China
    Yuanxia Wang, Zigong Fourth People's Hospital, Zigong, China
    Yao Chen, Zigong Fourth People's Hospital, Zigong, China
    Chencong Nie, Zigong Fourth People's Hospital, Zigong, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.