Evidence map›Paper›PMID 39881681›Full record

ArticleFrontiers in aging neuroscience2024

Cognitive trajectories and their relationships with education and diets among older adults: a network-based 10-year cohort study.

Xuchun Wang, Yuchao Qiao, Yudong Zhang, Yu Cui, Hao Ren, Chongqi Hao, Lixia Qiu

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Article in Frontiers in aging neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xuchun WangDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
Yuchao QiaoDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
Yudong ZhangDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
Yu CuiDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
Hao RenDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
Chongqi HaoDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
Lixia QiuDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Few studies have examined the underlying mechanisms of education, diets, and cognitive function in older adults. This study analyses the relationship between cognitive trajectories, education, and different dietary patterns in older adults from a network perspective, and further explores their longitudinal associations and mediation effects. Methods: Data on cognitive trajectories were derived from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) between 2008 and 2018. Group-Based Trajectory Model (GBTM) was used to identify potential heterogeneity in the longitudinal changes in cognitive function. Multinomial logistic regression and network analysis were then applied to examine the relationships between different cognitive trajectories and years of education, food variety (FV), and plant-based dietary patterns. Cross-lagged panel model was used to examine the longitudinal associations between education, FV, and plant-based diet patterns. Furthermore, we constructed a mediation model based on categorical variables for cognitive trajectories to investigate the mediating effect of FV and plant-based diet index on education and cognitive. Results: A total of 2,115 older adults were included in this study, revealing three distinct cognitive function trajectories. After controlling for potential confounders, education and dietary-related variables were associated with a cognitive stable decline trajectory (OR: 0.857/0.929/1.027) and a cognitive rapid decline trajectory (OR: 0.859/0.914, 95% CI: 0.775-0.882) compared to the cognitive stable trajectory. In the education, diet, and cognition network model, overall Plant-Based Diet Index (PDI) [expected influence (EI) = 1.82] and years of education (EI = 0.54) were the most central domains. There were longitudinal associations between education, FV, and plant-based dietary patterns, which were significant only in the slow decline group. FV acting as a mediator between education and cognitive trajectories. Conclusion: Years of education are longitudinally associated with the diet of older adults in the slow cognitive decline group. Food diversity partially mediates the relationship between years of education and cognitive trajectories. Interventions targeting education and dietary behaviors may help alleviate cognitive decline in older adults.

Indexed as

cognitive trajectoriescross-lagged panel modelmediation analysisnetwork analysisolder adults

Identifiers

PMID39881681
PMCPMC11775158

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