Evidence map›Paper›PMID 40510577›Full record

ArticleFrontiers in public health2025

Public health implications of the send-down movement: long-term effects on cognitive ability of rural older adults in China.

Guangchuan Zhao, Chen Su

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Guangchuan ZhaoSchool of Economics, Fudan University, Shanghai, China.
Chen SuSchool of Public Administration, Nanjing University of Finance and Economics, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study examines the long-term effects of the send-down movement on the cognitive ability of rural older adults in China, focusing on how early-life exposure to human capital interventions shapes late-life cognitive trajectories. Methods: Leveraging four waves of the China Health and Retirement Longitudinal Study (CHARLS, 2011-2018), we employ a cohort difference-in-differences (cohort DID) design to compare cognitive outcomes between rural residents exposed to send-down youths (SDYs) during childhood and non-exposed cohorts. Mechanisms are analyzed through a multi-mediation framework integrating educational attainment, non-agricultural work, social engagement, and fertility behaviors. Results: The analysis demonstrates that exposure to SDYs significantly enhanced cognitive ability among rural older adults, resulting in a 0.857-point increase in cognitive ability score, a 4.33 percentage-point reduction in cognitive decline, and a 6.76 percentage-point decrease in cognitive impairment incidence. Mechanism analysis reveals that exposure to SDYs primarily influenced late-life cognitive ability through four pathways: improving rural children's educational attainment, increasing their probability of obtaining non-agricultural work, enhancing social engagement, and reducing fertility rates. Conclusion: The send-down movement positively influenced the cognitive health of rural older adults, underscoring the enduring impact of childhood access to educational resources on cognitive ability throughout the life course. Policy initiatives integrating early-life education with adult opportunity structures could yield compounded cognitive dividends, particularly in resource-limited rural settings.

Indexed as

CognitionCognitive DysfunctionPublic HealthRural PopulationAgedChinaEducational StatusFemaleHumansLongitudinal StudiesMaleMiddle AgedChinacognitive abilityeducationpublic healthsend-down youths

Identifiers

PMID40510577
PMCPMC12158717

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Registered trials

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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.