Academic Thesis

Basic information

Name YOROZUYA Kyosuke
Belonging department
Occupation name
researchmap researcher code R000020986
researchmap agency Bukkyo University

Title

Relationships between Loneliness and Occupational Dysfunction in Community-Dwelling Older Adults: A Cross-Sectional Study

Bibliography Type

 

Author

Daiki Nakashima
Keisuke Fujii
Yuta Kubo
Kyosuke Yorozuya

OwnerRoles

Summary

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.

Magazine(name)

Occupational Therapy International

Publisher

Hindawi Limited

Volume

2023

Number Of Pages

9505865

StartingPage

1

EndingPage

7

Date of Issue

2023-09

Referee

Exist

Invited

 

Language

English

Thesis Type

Research papers (academic journals)

International Journal

 

International Collaboration

 

ISSN

 

eISSN

 

ISBN

 

DOI

10.1155/2023/9505865

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Cinii Books Id

 

PMID

 

PMCID

 

Format

Download

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arXiv ID

 

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Major Achivement

Other