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Subjective Happiness among Adults in Japan during the COVID-19 Pandemic : Socioeconomic Status, Psychosocial Variables, and Loneliness as Predictors
https://tokushima-u.repo.nii.ac.jp/records/2012276
https://tokushima-u.repo.nii.ac.jp/records/2012276d67c8925-511e-4d88-888b-c19ba5c83e7c
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
csrdadp_94.pdf (845 KB)
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| Item type | 文献 / Documents(1) | |||||||||||||||||||||||
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| 公開日 | 2024-10-28 | |||||||||||||||||||||||
| アクセス権 | ||||||||||||||||||||||||
| アクセス権 | open access | |||||||||||||||||||||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||||||||||||||||||
| 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 | journal article | |||||||||||||||||||||||
| 出版社版DOI | ||||||||||||||||||||||||
| 識別子タイプ | URI | |||||||||||||||||||||||
| 関連識別子 | https://csrda.iss.u-tokyo.ac.jp/international/dp/No.94.pdf | |||||||||||||||||||||||
| 出版タイプ | ||||||||||||||||||||||||
| 出版タイプ | VoR | |||||||||||||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||||||||||||||
| タイトル | ||||||||||||||||||||||||
| タイトル | Subjective Happiness among Adults in Japan during the COVID-19 Pandemic : Socioeconomic Status, Psychosocial Variables, and Loneliness as Predictors | |||||||||||||||||||||||
| 言語 | en | |||||||||||||||||||||||
| 著者 |
内山, 八郎
× 内山, 八郎
WEKO
1436
× 内海, 千種
WEKO
298
× イノウエ, ヒロキ
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| 抄録 | ||||||||||||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||||||||||||
| 内容記述 | Humankind has pursued happiness for centuries. Given the significance of happiness to people, this study analyzes predictive associations between socioeconomic and psychosocial variables as independent variables and subjective happiness as the dependent variable. The study utilizes data from the Social Science Japan Data Archive (SSJDA), part of the Institute of Social Science at the University of Tokyo, collected in 2022 during the COVID-19 pandemic. The data were reorganized as binary variables and then analyzed in bivariate analyses and subsequently in multivariate models to assess predictive associations between the independent and dependent variables, i.e., subjective happiness. Binary logistic regression analysis identified a model with the following eight independent variables as optimal of all tested models: (1) marital status, (2) self-identified social class, (3) annual household income, (4) affirming one’s own merits, (5) perception that people are trustworthy, (6) having a trustworthy neighbor, (7) feeling lonely, and (8) self-rated health. The discussion section focuses on loneliness, as it is the only variable among the eight predictors that has a statistically significant negative association with subjective happiness. The complex interplay among subjective happiness, its predictors—in particular, loneliness—and the COVID-19 pandemic is explored. | |||||||||||||||||||||||
| 言語 | en | |||||||||||||||||||||||
| 書誌情報 |
ja : CSRDA ディスカッションペーパーシリーズ en : CSRDA Discussion Paper Series 巻 94, 発行日 2024-08 |
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| 出版者 | ||||||||||||||||||||||||
| 出版者 | Center for Social Research and Data Archives, Institute of Social Science, The University of Tokyo | |||||||||||||||||||||||
| 言語 | en | |||||||||||||||||||||||
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| 識別子 | 414251 | |||||||||||||||||||||||
| 識別子タイプ | URI | |||||||||||||||||||||||
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| 言語 | eng | |||||||||||||||||||||||
