{"title":"老年人不使用助行器具的心理社会预测因素。","authors":"Alhadi M Jahan, Paulette Guitard, Jeffrey W Jutai","doi":"10.1080/17483107.2024.2320723","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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 (<i>p</i> < 0.05). In the multiple regression analyses, only Self-esteem significantly predicted non-adherence (<i>p</i> < 0.05), and this model explained between 43.5 and 54.3% of the variance in non-adherence.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Psychosocial predictors of mobility assistive devices non-adherence among older adults.\",\"authors\":\"Alhadi M Jahan, Paulette Guitard, Jeffrey W Jutai\",\"doi\":\"10.1080/17483107.2024.2320723\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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 (<i>p</i> < 0.05). In the multiple regression analyses, only Self-esteem significantly predicted non-adherence (<i>p</i> < 0.05), and this model explained between 43.5 and 54.3% of the variance in non-adherence.</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":1,\"journal\":{\"name\":\"Accounts of Chemical Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":16.4000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Accounts of Chemical Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/17483107.2024.2320723\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/2/23 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/17483107.2024.2320723","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/2/23 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Psychosocial predictors of mobility assistive devices non-adherence among older adults.
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.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.