Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/114836
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dc.contributorDepartment of Applied Social Sciences-
dc.creatorKong, D-
dc.creatorLi, X-
dc.creatorLan, Y-
dc.creatorZang, E-
dc.date.accessioned2025-09-01T01:52:45Z-
dc.date.available2025-09-01T01:52:45Z-
dc.identifier.issn1079-5014-
dc.identifier.urihttp://hdl.handle.net/10397/114836-
dc.language.isoenen_US
dc.publisherOxford University Pressen_US
dc.rights© The Author(s) 2025. Published by Oxford University Press on behalf of the Gerontological Society of America.en_US
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.en_US
dc.rightsThe following publication Kong, D., Li, X., Lan, Y., & Zang, E. (2025). Linked Lives: Dyadic Trajectories of Cognitive Function Among Middle-Aged and Older Couples. The Journals of Gerontology: Series B, 80(7), gbaf063 is available at https://doi.org/10.1093/geronb/gbaf063.en_US
dc.subjectChina Health and Retirement Longitudinal Studyen_US
dc.subjectDevelopmental trajectoryen_US
dc.subjectDyad researchen_US
dc.subjectDyadic latent growth curve modelen_US
dc.titleLinked lives : dyadic trajectories of cognitive function among middle-aged and older couplesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume80-
dc.identifier.issue7-
dc.identifier.doi10.1093/geronb/gbaf063-
dcterms.abstractObjectives: Our study is among the first to analyze the developmental trajectories of cognitive function at the couple level.-
dcterms.abstractMethods: Using longitudinal dyadic data obtained from 2,130 heterosexual couples who participated in the China Health and Retirement Longitudinal Study between 2011 and 2020, we employed the dyadic latent growth curve model to analyze the developmental trajectories of wives’ and husbands’ cognitive function from 2011 to 2018. We examined the significant predictors of membership of the latent profiles, as well as the extent to which membership of the latent profiles predicted husbands’ and wives’ depressive symptoms at follow-up (i.e., in 2018 and 2020).-
dcterms.abstractResults: The two identified dyadic profiles reflected distinct developmental trajectories at the couple level: high stable couples with outperforming husbands (Profile 1, 81.6% of couples), and moderate stable wives—moderate rapid decline husbands (Profile 2, 18.4% of couples). Husbands’ older age and higher number of functional limitations, and couples’ residence in rural areas at baseline predicted a higher likelihood of membership in Profile 2. Husbands reporting more chronic conditions at baseline predicted a lower likelihood of the couple being classified in Profile 2. Couples in Profile 2 exhibited higher levels of depression symptoms than their counterparts in Profile 1 in 2018 and 2020.-
dcterms.abstractDiscussion: Our results highlight the utility of a couple approach in analyzing the developmental trajectories of cognitive functioning in later life and advance our understanding of how couple-level changes exert influence on both spouses’ mental health.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournals of gerontology. Series B : psychological sciences & social sciences, July 2025, v. 80, no. 7, gbaf063-
dcterms.isPartOfJournals of gerontology. Series B : psychological sciences & social sciences-
dcterms.issued2025-07-
dc.identifier.scopus2-s2.0-105011402285-
dc.identifier.eissn1758-5368-
dc.identifier.artngbaf063-
dc.description.validate202509 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_TAen_US
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.description.TAOUP (2025)en_US
dc.description.oaCategoryTAen_US
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