Evidence map›Paper›PMID 41723441›Full record

ArticleBMC public health2026

Can Raising grandchildren prevent or slow cognitive decline in Chinese elderly?

Jie Yang, Xukai Zhang, Yanbo Zhang, Juanjuan Yan, Wenbin He, Jingjing Yan, Yue Gong, Zhengyu Duan, Bingxia Ji, Zhongyang Pei and 1 more

Abstract read
In one paragraph

Article in BMC public health, 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

11 authors.

Jie YangSchool of Health Services and Management, Shanxi University of Chinese Medicine, Taiyuan, Shanxi, China. yjsxtcm@sxtcm.edu.cn.ORCID http://orcid.org/0000-0003-1086-9255
Xukai ZhangSchool of Health Services and Management, Shanxi University of Chinese Medicine, Taiyuan, Shanxi, China.
Yanbo ZhangShanxi Provincial Key Laboratory of Major Diseases Risk Assessment, Taiyuan, Shanxi, China.
Juanjuan YanSchool of Health Services and Management, Shanxi University of Chinese Medicine, Taiyuan, Shanxi, China.
Wenbin HeShanxi Key Laboratory of Chinese Medicine Encephalopathy, National International Joint Research Center for Molecular Chinese Medicine, Shanxi University of Chinese Medicine, Taiyuan, Shanxi, China.
Jingjing YanDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
Yue GongSchool of Health Services and Management, Shanxi University of Chinese Medicine, Taiyuan, Shanxi, China.
Zhengyu DuanSchool of Health Services and Management, Shanxi University of Chinese Medicine, Taiyuan, Shanxi, China.
Bingxia JiSchool of Health Services and Management, Shanxi University of Chinese Medicine, Taiyuan, Shanxi, China.
Zhongyang PeiSchool of Health Services and Management, Shanxi University of Chinese Medicine, Taiyuan, Shanxi, China.
Yao ZhangSchool of Health Services and Management, Shanxi University of Chinese Medicine, Taiyuan, Shanxi, China.

Funding

Chinese Medicine Innovation Team Fund of Shanxi Provincial Health Commission zyytd2024025National Natural Science Foundation of China 82173631Scientific Research Fund for the Doctoral Young Scholars of SXTCM 2023BK57Technology Innovation Team Fund of SXTCM 2022TD2011
6 · The paper itself

Abstract

backgroundWith increasing life expectancy, cognitive aging is a major medical and public health challenge. Several studies have examined lifestyle factors that delay cognitive function decline in the elderly. This study aimed to explore the role of skip-generation raising on the global cognitive function and various cognitive domains by analyzing data from the China Health and Retirement Longitudinal Study (CHARLS).

methodsWe analyzed longitudinal data from the CHARLS collected between 2015 and 2018, using the Mini-Mental State Examination (MMSE) for cognitive function. We verified the relationships among skip-generation raising, global cognitive function, and various cognitive domains using propensity score matching with the differences-in-differences method (PSM-DID) and various robustness tests. Further subgroup analyses examined the heterogeneity in the association between skip-generation raising and cognitive function across different geographic regions and caregiving intensity. Additionally, we developed an accurate risk screening model using XGBoost to predict cognitive decline in the elderly.

resultsThe PSM-DID analyses revealed a significant positive association between the coefficients of the interaction terms in the different regression models, suggesting a significant positive effect of skip-generation raising on cognitive function in the elderly. These findings were robust regardless of the samples tested. Meanwhile, skip-generation raising had a beneficial effect only on the registration domain but not on the other cognitive domains. Subgroup analyses revealed notable heterogeneity in this association. The beneficial effect was primarily concentrated in central China, and not in the eastern or western areas. Furthermore, while skip-generation raising overall had positive outcomes, caring for more than two grandchildren had a negative impact on cognition. Additionally, the XGBoost prediction model analysis identified skip-generation raising, dyslipidemia, hypertension, drinking, and smoking as predictors of cognitive decline.

conclusionsEngaging in skip-generation raising (not more than two grandchildren) may enhance the social participation of the elderly, prevent or slow their cognitive decline, enabling them to cope with aging. The benefits were mostly observed in Central China. However, the global cognitive function of older adults who do not engage in skip-generation raising and have worse lifestyle habits or health status should also be examined to improve the effectiveness of measures that prevent cognitive decline.

Indexed as

Child RearingCognitive DysfunctionGrandparentsAgedAged, 80 and overChinaEast Asian PeopleFemaleHumansLongitudinal StudiesMaleCHARLSCognitive agingCognitive declineCognitive functionPSM-DIDSkip-generation raising

Identifiers

PMID41723441
PMCPMC13032232

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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.