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Predictors of psychosocial adaptation and mental wellbeing among people with chronic illness and disabilities in a chinese context
Published online by Cambridge University Press: 13 August 2021
Abstract
The process of adjustment to disability and illness among people with chronic illness and disabilities (CID) impacts on motivation for rehabilitation illness self-management, and psychological well-being. It involves a complex interplay of biopsychosocial factors, and was seldom examined in the Chinese context.
Identify the predictors of mental well-being of people with from a set of variables including illness and social support, functional abilities, coping strategies, resilience. Examine how these factors interact in determining psychosocial adaptation and mental well-being by structural equations modelling (SEM).
We conducted a survey of people with CID, who were recruited from community-rehabilitation settings and self-help groups (N = 244). The research questionnaire collected basic demographic information, illness-related variables (e.g. pain, fatigue, functional limitations), and RIDI), social support, measures of resilience, coping, psychosocial ad as predictors, and mental well-being.
Of General Linear Model (GLM) revealed that males have better adaptation than females. Resilience, social coping, & active problem solving are significant predictors of adaptation (Table 1), while age, breathing, pain, resilience, avoidance coping, are predictors of maladaptation (Table 2). A SEM was tested to examine the interaction among the predictors and outcome of adaptation and mental well-being (Figure 1), and the model fit was fair (CFI = 0.89; RMSEA = 0.09)
The results indicated that there are gender differences in adaptation. While all the hypothesized groups of variables contributed to mental well-being of people with CID. Resilience, illness variables, and some forms of coping are closely linked to adaptation and maladaptation.
No significant relationships.
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- Information
- European Psychiatry , Volume 64 , Special Issue S1: Abstracts of the 29th European Congress of Psychiatry , April 2021 , pp. S792
- Creative Commons
- This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Copyright
- © The Author(s), 2021. Published by Cambridge University Press on behalf of the European Psychiatric Association
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