Evidence map›Paper›PMID 40041182›Full record

ArticleFrontiers in public health2025

Exploring the impact of internet use on cognitive abilities in the older adults: evidence from the CHARLS 2020 database.

Haojin Jiao, Zehui Guo, Jiafan Sun, Ke Wang, Jingqi Yang

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

5 authors.

Haojin JiaoSchool of Modern Post, Xi'an University of Posts and Telecommunications, Xi'an, China.
Zehui GuoSchool of Marxism, Yan'an University, Yan'an, China.
Jiafan SunSchool of Modern Post, Xi'an University of Posts and Telecommunications, Xi'an, China.
Ke WangSchool of Economics and Management, Xi'an University of Posts and Telecommunications, Xi'an, China.
Jingqi YangDepartment of Cardiovascular Medicine, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The rapid aging of the global population has increased the prevalence of cognitive impairments, presenting significant challenges for healthcare systems. This study examines the potential protective role of internet use against cognitive decline among older adults in China. Methods: Utilizing the China Health and Retirement Longitudinal Study (CHARLS 2020) data, this research analyzed a sample of 7,142 Chinese adults aged 60 and above. The study employed correlation analysis and hierarchical regression to explore the relationship between various dimensions of internet use and cognitive function. Results: Results indicate a significant positive correlation between internet use and cognitive performance, suggesting that digital engagement may serve as a protective factor against cognitive decline. Additionally, the study reveals that socio-demographic factors such as age, education level, and urban or rural residency modulate this relationship. Discussion: The findings underscore the importance of digital inclusivity for enhancing cognitive health among older adults. This study discusses the implications of increasing internet accessibility and provides recommendations for public policy to foster a digitally inclusive society that supports the cognitive health of the aging population.

Indexed as

CognitionCognitive DysfunctionInternetInternet UseAgedAged, 80 and overChinaDatabases, FactualFemaleHumansLongitudinal StudiesMaleMiddle AgedCHARLS 2020cognitioncognitive dysfunctioninternet accessolder adultssociodemographic factors

Identifiers

PMID40041182
PMCPMC11876058

What OpenQuestion holds

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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.