Relationships between Loneliness and Occupational Dysfunction in Community-Dwelling Older Adults: A Cross-Sectional Study
The study explored cross-sectional associations between loneliness and occupational dysfunction in community-dwelling older adults. Seventy-four older adults (12 men and 62 women; mean age 73.9±8.3 years) completed a questionnaire survey that included the Japanese version of the UCLA Loneliness Scal...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-01-01
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| Series: | Occupational Therapy International |
| Online Access: | http://dx.doi.org/10.1155/2023/9505865 |
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| _version_ | 1832558638645903360 |
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| author | Daiki Nakashima Keisuke Fujii Yuta Kubo Kyosuke Yorozuya |
| author_facet | Daiki Nakashima Keisuke Fujii Yuta Kubo Kyosuke Yorozuya |
| author_sort | Daiki Nakashima |
| collection | DOAJ |
| description | The study explored cross-sectional associations between loneliness and occupational dysfunction in community-dwelling older adults. Seventy-four older adults (12 men and 62 women; mean age 73.9±8.3 years) completed a questionnaire survey that included the Japanese version of the UCLA Loneliness Scale Version 3 and the Classification and Assessment of Occupational Dysfunction (CAOD). Bayesian statistical modeling was used for a more stable estimation given the small sample. For model selection, we assumed a univariate analysis model of the CAOD (Model 1); a multivariate analysis model, including confounding factors in Model 1 (Model 2); and a multivariate analysis model, including random effects in Model 2 (Model 3). The best model was selected by comparing the widely applicable information criterion (WAIC) and the widely applicable Bayesian information criterion (WBIC) for each model. Bayesian statistics with the dependent variable as “loneliness” showed that the best model used “occupational dysfunction” as the independent variable and included confounding factors and random effects (WAIC=474.5 and WBIC=213.1). The best model identified an association between occupational dysfunction and loneliness (odds ratio OR=2.363; 95% Bayesian confidence interval CI=1.105–5.259). This study highlights the role of occupational dysfunction in addition to the risks and related factors reported to date when dealing with loneliness. Therapists could help older adults cope with loneliness by supporting their social participation and improving their occupational dysfunction. |
| format | Article |
| id | doaj-art-20a284b587984fef83be57c9e5838b57 |
| institution | Kabale University |
| issn | 1557-0703 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Occupational Therapy International |
| spelling | doaj-art-20a284b587984fef83be57c9e5838b572025-02-03T01:31:52ZengWileyOccupational Therapy International1557-07032023-01-01202310.1155/2023/9505865Relationships between Loneliness and Occupational Dysfunction in Community-Dwelling Older Adults: A Cross-Sectional StudyDaiki Nakashima0Keisuke Fujii1Yuta Kubo2Kyosuke Yorozuya3Department of RehabilitationDepartment of Rehabilitation Occupational Therapy CourseDivision of Occupational TherapyDivision of Occupational TherapyThe study explored cross-sectional associations between loneliness and occupational dysfunction in community-dwelling older adults. Seventy-four older adults (12 men and 62 women; mean age 73.9±8.3 years) completed a questionnaire survey that included the Japanese version of the UCLA Loneliness Scale Version 3 and the Classification and Assessment of Occupational Dysfunction (CAOD). Bayesian statistical modeling was used for a more stable estimation given the small sample. For model selection, we assumed a univariate analysis model of the CAOD (Model 1); a multivariate analysis model, including confounding factors in Model 1 (Model 2); and a multivariate analysis model, including random effects in Model 2 (Model 3). The best model was selected by comparing the widely applicable information criterion (WAIC) and the widely applicable Bayesian information criterion (WBIC) for each model. Bayesian statistics with the dependent variable as “loneliness” showed that the best model used “occupational dysfunction” as the independent variable and included confounding factors and random effects (WAIC=474.5 and WBIC=213.1). The best model identified an association between occupational dysfunction and loneliness (odds ratio OR=2.363; 95% Bayesian confidence interval CI=1.105–5.259). This study highlights the role of occupational dysfunction in addition to the risks and related factors reported to date when dealing with loneliness. Therapists could help older adults cope with loneliness by supporting their social participation and improving their occupational dysfunction.http://dx.doi.org/10.1155/2023/9505865 |
| spellingShingle | Daiki Nakashima Keisuke Fujii Yuta Kubo Kyosuke Yorozuya Relationships between Loneliness and Occupational Dysfunction in Community-Dwelling Older Adults: A Cross-Sectional Study Occupational Therapy International |
| title | Relationships between Loneliness and Occupational Dysfunction in Community-Dwelling Older Adults: A Cross-Sectional Study |
| title_full | Relationships between Loneliness and Occupational Dysfunction in Community-Dwelling Older Adults: A Cross-Sectional Study |
| title_fullStr | Relationships between Loneliness and Occupational Dysfunction in Community-Dwelling Older Adults: A Cross-Sectional Study |
| title_full_unstemmed | Relationships between Loneliness and Occupational Dysfunction in Community-Dwelling Older Adults: A Cross-Sectional Study |
| title_short | Relationships between Loneliness and Occupational Dysfunction in Community-Dwelling Older Adults: A Cross-Sectional Study |
| title_sort | relationships between loneliness and occupational dysfunction in community dwelling older adults a cross sectional study |
| url | http://dx.doi.org/10.1155/2023/9505865 |
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