Evidence map›Paper›PMID 42619853›Full record

ArticleResearch square2026

Rural-Urban Disparities in the Cognitive Returns to Education Among Chinese Older Adults: A Longitudinal, Causal Robustness, and Mechanism Analysis.

Songwei Ru, Xinxin Yan, Na Guo, Huimin Liu

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In one paragraph

Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Songwei RuAerospace Center Hospital.
Xinxin YanAerospace Center Hospital.
Na GuoAerospace Center Hospital.
Huimin LiuAerospace Center Hospital.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Educational attainment is a key protective factor against late-life cognitive decline, yet whether its cognitive returns are heightened in resource-deprived rural environments remains controversial. We investigated whether rural-urban residency moderates the association between education and cognitive function among older Chinese adults. Methods: Using data from the China Health and Retirement Longitudinal Study (CHARLS; N = 15,646), cognitive function was operationalized via episodic memory (word recall, 0-20). Hierarchical ordinary least squares (OLS) and linear mixed-effects models estimated cross-sectional and longitudinal Education × Rural interactions. Propensity score matching (PSM), E-value sensitivity analysis, and an expanded nine-mediator framework evaluated causal robustness, dimension specificity, and underlying mechanisms. Results: The Education × Rural interaction was positive and statistically significant (β = 0.108, p < 0.001), demonstrating larger cognitive returns of education for rural residents. This advantage remained consistent across gender and age subgroups and expanded longitudinally over time (β = 0.054, p < 0.001). PSM confirmed directional stability (β = 0.055, p = 0.037) despite a 48% attenuation. E-value analysis indicated robust main effects (E = 2.21) alongside a more sensitive interaction contrast (E = 1.20). Dimension-specificity tests revealed independent spatial and economic resource substitution, with ~ 95% of the interaction operating via direct cognitive reserve building rather than measurable behavioral or social pathways. Conclusion: Educational attainment yields stronger cognitive protective returns in rural contexts, lending empirical support to the resource substitution hypothesis. However, the sensitivity of the interaction contrast to unmeasured confounding warrants careful interpretation when setting policy expectations.

Indexed as

CHARLSCognitive functionEducationOlder adultsResource substitutionRural-urban disparity

Identifiers

PMID42619853
PMCPMC13484432

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.