Longitudinal Dyadic Associations Between Internet Use and Mental Health Among Middle-Aged and Older Chinese Couples: An Actor–Partner Interdependence Approach.
Objectives Internet use is usually considered to have beneficial effects on depressive symptoms. However, researchers rarely examine whether individual internet use might affect his/her spouse's depressive symptoms. The present study aimed to explore the longitudinal dyadic interdependence of the as...
| Publicado en: | Journals of Gerontology Series B: Psychological Sciences & Social Sciences Vol. 80; no. 7; pp. 1 - 11 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Oxford University Press / USA
Jul2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=189082065&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 189082065 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10795014 JGB jtl: Journals of Gerontology Series B: Psychological Sciences & Social Sciences issn: 10795014 maglogo: N pubinfo: dt: Jul2025 vid: 80 iid: 7 pid: 622 pub: Oxford University Press / USA artinfo: ui: 189082065 10.1093/geronb/gbaf097 ppf: 1 ppct: 10 formats: tig: atl: Longitudinal Dyadic Associations Between Internet Use and Mental Health Among Middle-Aged and Older Chinese Couples: An Actor–Partner Interdependence Approach. aug: au: Li, Zhibin Liu, Huijun affil: School of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, China su: Mental health Spouses Sex distribution Internet Age distribution Interpersonal relations Mental depression Middle age Old age Cronbach's alpha Research funding Center for Epidemiologic Studies Depression Scale Chi-squared test Structural equation modeling Longitudinal method Statistics Data analysis software sug: subj: Mental health Spouses Sex distribution Internet Age distribution Interpersonal relations Mental depression Middle age Old age Internet Publishing and Broadcasting and Web Search Portals Wired Telecommunications Carriers Offices of Mental Health Practitioners (except Physicians) Cronbach's alpha Research funding Center for Epidemiologic Studies Depression Scale Chi-squared test Structural equation modeling Longitudinal method Statistics Data analysis software keyword: Actor effect Dyadic analysis Longitudinal study Partner effect Actor effect Dyadic analysis Longitudinal study Partner effect ab: Objectives Internet use is usually considered to have beneficial effects on depressive symptoms. However, researchers rarely examine whether individual internet use might affect his/her spouse's depressive symptoms. The present study aimed to explore the longitudinal dyadic interdependence of the association between internet use and depressive symptoms among middle-aged and older couples. Methods Data for this study came from the 2018 and 2020 waves of the China Health and Retirement Longitudinal Study (CHARLS), and the sample consisted of 6,096 middle-aged and older couples (age ≥45). We tested the actor effects and partner effects of internet use on depressive symptoms among middle-aged and older couples by adopting the longitudinal Actor–Partner Interdependence Model (APIM). Further, the heterogeneity of actor effects and partner effects based on gender, age, and residence was also tested. Results APIM indicated that both husbands' and wives' internet use had significant actor effects on their depressive symptoms. However, the partner effect was observed only in wives; that is, husbands' internet use was positively associated with their wives' lower depressive symptoms, not vice versa. Furthermore, subgroup analyses showed these effects were not significantly heterogeneous in age and rural–urban subgroups. Discussion This study sheds light on the dyadic and longitudinal associations between internet use and depressive symptoms among middle-aged and older couples in China, thereby providing valuable insights for designing interventions that protect mental health by encouraging couples to use the internet. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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