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

社会流动性 认知 中国 对比度(视觉) 心理学 学历 发展心理学 纵向数据 老年学 人口学 社会学 医学 地理 计算机科学 经济 经济增长 神经科学 人工智能 社会科学 考古
作者
Songyun Shi,Yu‐Chih Chen,Alexi Gugushvili,Paul Yip
出处
期刊:The Journals of Gerontology: Series B [Oxford University Press]
卷期号:79 (9)
标识
DOI:10.1093/geronb/gbae125
摘要

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.
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