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-Reference-Cited by-同舟云学术

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

Published:2024-07-19 Issue:9 Volume:79 Page:
ISSN:1079-5014
Container-title:The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences
language:en
Short-container-title:

Author:

Shi Songyun¹^ORCID,Chen Yu-Chih¹²^ORCID,Gugushvili Alexi³^ORCID,Yip Paul S F¹⁴

Affiliation:

1. Department of Social Work and Social Administration, The University of Hong Kong , Hong Kong , China

2. Social Policy Institute, Washington University in St. Louis , St. Louis, Missouri , USA

3. Department of Sociology and Human Geography, University of Oslo , Oslo , Norway

4. Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong , Hong Kong , China

Abstract

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.

Publisher

Oxford University Press (OUP)

Link

https://academic.oup.com/psychsocgerontology/advance-article-pdf/doi/10.1093/geronb/gbae125/58597885/gbae125.pdf

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