社会心理的
社会支持
描述性统计
老年学
回归分析
单变量分析
临床心理学
心理学
解释的变化
医学
生活质量(医疗保健)
多级模型
比例(比率)
二元分析
多元分析
精神科
护理部
社会心理学
统计
物理
数学
量子力学
机器学习
计算机科学
内科学
作者
Alhadi M. Jahan,Paulette Guitard,Jeffrey W. Jutai
标识
DOI:10.1080/17483107.2024.2320723
摘要
Background: Mobility assistive devices (MADs) provide support to older adults to improve their quality of life; however, research shows that as many as 75% of older adults are non-adherent to prescribed MADs. This study investigated the psychosocial factors that predict non-adherence to MADs among older adults.Methods: A sample of Canadian older adult MADs users who resided in a long-term care facility was included. The data was collected using the Psychosocial Impact of Assistive Devices Scale (PIADS), and the Medical Outcomes Study Social Support Survey (mMOS-SS). Data analysis was performed using SPSS 28. Descriptive statistics were used to describe the sample and the study variables. Pearson correlation coefficients were used to evaluate the association between the study variables. Variables that were associated with non-adherence in a univariate analysis were subsequently entered into a multiple regression analysis.Results: The sample comprised 48 residents (26 females and 22 males), with a mean age of 86.8. In the univariate analysis, scores from the three PIADS subscales, namely, Competence, Adaptability, and Self-esteem, and the Social Support scale were significantly correlated with non-adherence (p < 0.05). In the multiple regression analyses, only Self-esteem significantly predicted non-adherence (p < 0.05), and this model explained between 43.5 and 54.3% of the variance in non-adherence.Conclusion: This study revealed that the Self-esteem construct, which includes several concepts related to psychological well-being, was the only significant predictor of non-adherence among the studied sample of older adults. The clinical implications of the findings are subsequently discussed.
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