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Article: Intergenerational Educational Mobility and Cognitive Trajectories among Middle-Aged and Older Chinese People: An Application of Growth Mixture and Mobility Contrast Models in Longitudinal Analysis

TitleIntergenerational Educational Mobility and Cognitive Trajectories among Middle-Aged and Older Chinese People: An Application of Growth Mixture and Mobility Contrast Models in Longitudinal Analysis
Authors
KeywordsChina
Cognitive function trajectory
Growth mixture model
Life course
Mobility contrast model
Issue Date1-Sep-2024
PublisherOxford University Press
Citation
The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences, 2024, v. 79, n. 9 How to Cite?
Abstract

Objectives: Due to statistical challenges in disentangling the mobility effect (i.e., intergenerational educational mobility) from the position effect (i.e., parental and person's own education), the impact of intergenerational educational mobility on cognitive function remains unclear. We employed a novel approach to identify the mobility effect and investigate the net impact of intergenerational educational mobility on heterogeneous patterns of cognition among middle-aged and older adults in China. Methods: Participants aged 45 and older were recruited from the China Health and Retirement Longitudinal Study, a population-based prospective cohort study between 2011 and 2018. We identified cognitive trajectories using the growth mixture model (GMM) and subsequently employed the mobility contrast model (MCM) to examine the effects of intergenerational educational mobility on cognitive patterns stratified by gender. Results: Almost two thirds of respondents experienced intergenerational educational mobility, and 55% experienced upward mobility. Men had a higher rate of upward mobility than women. Three population-based cognitive patterns were identified: the low cognitive function with decline group (28%), the moderate cognitive function group (47%), and the high cognitive function group (26%). MCM analysis revealed that both upward and downward intergenerational educational mobility negatively affected cognitive trajectory patterns, extending beyond the influence of individuals' current and parental education. Discussion: In future research, the impact of mobility can be studied in longitudinal data sets by combining the GMM and MCM approaches. The net negative effect of intergenerational educational mobility on cognitive trajectory patterns indicates that it should be recognized as an independent predictor of cognitive decline.


Persistent Identifierhttp://hdl.handle.net/10722/351095
ISSN
2023 Impact Factor: 4.8
2023 SCImago Journal Rankings: 2.305

 

DC FieldValueLanguage
dc.contributor.authorShi, Songyun-
dc.contributor.authorChen, Yu Chih-
dc.contributor.authorGugushvili, Alexi-
dc.contributor.authorYip, Paul SF-
dc.date.accessioned2024-11-09T00:35:50Z-
dc.date.available2024-11-09T00:35:50Z-
dc.date.issued2024-09-01-
dc.identifier.citationThe Journals of Gerontology, Series B: Psychological Sciences and Social Sciences, 2024, v. 79, n. 9-
dc.identifier.issn1079-5014-
dc.identifier.urihttp://hdl.handle.net/10722/351095-
dc.description.abstract<p>Objectives: Due to statistical challenges in disentangling the mobility effect (i.e., intergenerational educational mobility) from the position effect (i.e., parental and person's own education), the impact of intergenerational educational mobility on cognitive function remains unclear. We employed a novel approach to identify the mobility effect and investigate the net impact of intergenerational educational mobility on heterogeneous patterns of cognition among middle-aged and older adults in China. Methods: Participants aged 45 and older were recruited from the China Health and Retirement Longitudinal Study, a population-based prospective cohort study between 2011 and 2018. We identified cognitive trajectories using the growth mixture model (GMM) and subsequently employed the mobility contrast model (MCM) to examine the effects of intergenerational educational mobility on cognitive patterns stratified by gender. Results: Almost two thirds of respondents experienced intergenerational educational mobility, and 55% experienced upward mobility. Men had a higher rate of upward mobility than women. Three population-based cognitive patterns were identified: the low cognitive function with decline group (28%), the moderate cognitive function group (47%), and the high cognitive function group (26%). MCM analysis revealed that both upward and downward intergenerational educational mobility negatively affected cognitive trajectory patterns, extending beyond the influence of individuals' current and parental education. Discussion: In future research, the impact of mobility can be studied in longitudinal data sets by combining the GMM and MCM approaches. The net negative effect of intergenerational educational mobility on cognitive trajectory patterns indicates that it should be recognized as an independent predictor of cognitive decline.</p>-
dc.languageeng-
dc.publisherOxford University Press-
dc.relation.ispartofThe Journals of Gerontology, Series B: Psychological Sciences and Social Sciences-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectChina-
dc.subjectCognitive function trajectory-
dc.subjectGrowth mixture model-
dc.subjectLife course-
dc.subjectMobility contrast model-
dc.titleIntergenerational Educational Mobility and Cognitive Trajectories among Middle-Aged and Older Chinese People: An Application of Growth Mixture and Mobility Contrast Models in Longitudinal Analysis-
dc.typeArticle-
dc.identifier.doi10.1093/geronb/gbae125-
dc.identifier.pmid39028553-
dc.identifier.scopuseid_2-s2.0-85201029372-
dc.identifier.volume79-
dc.identifier.issue9-
dc.identifier.eissn1758-5368-
dc.identifier.issnl1079-5014-

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