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A prediction model of community commitment and self-efficacy, using machine-learning: age-related differences in attitudes towards preventing social isolation among community-dwelling older adults
https://doi.org/10.24482/0002000016
https://doi.org/10.24482/000200001681397880-ab8c-4723-b509-ccab89df2a70
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
KK.2001.43-52.pdf (1.5 MB)
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| Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||||||||
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| 公開日 | 2023-08-10 | |||||||||||
| タイトル | ||||||||||||
| タイトル | A prediction model of community commitment and self-efficacy, using machine-learning: age-related differences in attitudes towards preventing social isolation among community-dwelling older adults | |||||||||||
| 言語 | en | |||||||||||
| 言語 | ||||||||||||
| 言語 | eng | |||||||||||
| キーワード | ||||||||||||
| 主題 | social isolation | |||||||||||
| キーワード | ||||||||||||
| 主題 | frail elderly | |||||||||||
| キーワード | ||||||||||||
| 主題 | machine learning | |||||||||||
| キーワード | ||||||||||||
| 主題 | older adults | |||||||||||
| 資源タイプ | ||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||
| 資源タイプ | departmental bulletin paper | |||||||||||
| ID登録 | ||||||||||||
| ID登録 | 10.24482/0002000016 | |||||||||||
| ID登録タイプ | JaLC | |||||||||||
| 著者 |
Yoko, TANAKA
× Yoko, TANAKA
× Ayumi, KONO
× Bogdan ENESCU
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| 内容記述 | ||||||||||||
| 内容記述タイプ | Abstract | |||||||||||
| 内容記述 | Purpose: We used machine learning to identify age-related differences in people's attitude concerning their community commitment and the community's self-efficacy for preventing social isolation among community-dwelling older adults. Methods: Anonymous self-administered questionnaire surveys were conducted in 2013 (N=528), 2016(N=888) and 2018(N=810) to randomly selected local residents in a municipality, aged ≥20years. The surveys included questions on personal attributes, a community commitment scale, and a self-efficacy scale for preventing social isolation among older adults. In the first phase, several machine-learning algorithms were applied to the responses from the <60-year and ≥60-year age groups for the 2013 and 2016 data to identify potential differences between the two age categories. In the second phase, the best-performing algorithm was applied to the 2018 data to predict the respondent's age group based on his/her responses. Results: The first phase analysis indicated, for the community commitment scale, a classification accuracy of 0.60 for the best-performing algorithm and a kappa-value of 0.18. The accuracy and kappa-value for the self-efficacy scale were 0.62 and 0.24, respectively. Using the 2018 test data, the prediction accuracies for the ≥60-year age group were 0.61 and 0.65 for the community commitment scale and self-efficacy scale, respectively, and those for the <60-year age group were 0.60 and 0.60, respectively. Conclusions: The results indicated awareness differences concerning community commitment and self-efficacy for preventing social isolation between residents aged <60 and ≥60 years. The responses of the residents aged ≥60 years showed slightly higher prediction accuracies, likely indicating more homogeneous responses. |
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| 言語 | en | |||||||||||
| bibliographic_information |
ja : 畿央大学紀要 en : Bulletin of Kio University 巻 20, 号 1, p. 43-52, 発行日 2023-06-30 |
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| 出版者 | ||||||||||||
| 出版者 | 畿央大学 | |||||||||||
| 言語 | ja | |||||||||||
| 出版者 | ||||||||||||
| 出版者 | Kio University | |||||||||||
| 言語 | en | |||||||||||
| item_10002_source_id_9 | ||||||||||||
| 収録物識別子タイプ | ISSN | |||||||||||
| 収録物識別子 | 2758-6359 | |||||||||||
| item_10002_source_id_11 | ||||||||||||
| 収録物識別子タイプ | NCID | |||||||||||
| 収録物識別子 | AB00012931 | |||||||||||
