Evidence map›Paper›PMID 39881277›Full record

ArticleBMC public health2025

The impact of digital literacy in enhancing individuals' health in China.

Jing Yang, Qianyu Shen, Xi Tong, Pundarik Mukhopadhaya

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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

4 authors.

Jing YangCollege of Finance, Jiangxi Normal University, Nanchang, China. soutechust@163.com.ORCID 0000-0001-9366-4321
Qianyu ShenCollege of Finance, Jiangxi Normal University, Nanchang, China.
Xi TongJiangxi University of Finance and Economics, Nanchang, China.
Pundarik MukhopadhayaEconomics Department, Macquarie University, Sydney, Australia.ORCID 0000-0002-7052-4606

Funding

Jiangxi Social Science Fund 20YJ12
6 · The paper itself

Abstract

backgroundHealth is the cornerstone of individual well-being and a vital factor in socioeconomic development. In an increasingly digitalized world, digital literacy has emerged as one of the indispensable abilities, which not only pertains to an individual's capacity to acquire, analyze, evaluate, and utilize information but also profoundly influences their health behaviours, health decisions, and overall well-being. This paper uses the 2020 China Family Panel Studies (CFPS) data to explore digital literacy's impact on individuals' health.

methodsBy using the Entropy-TOPSIS method, this paper calculates digital literacy as a three-dimensional construct and adopts Ordered Probit and OLS models to analyze the impact of digital literacy on physical and mental health. Additionally, this paper employs the Two-Stage Least Squares (2SLS) to address endogeneity issues. The indirect effects of income, employment quality, and informal social support on individual's digital literacy and health nexus are also examined by the mediation effect model.

resultsThe results indicate that digital literacy positively impacts individuals' physical and mental health, which was confirmed by several robustness tests. The heterogeneity analysis shows that digital literacy is more effective in enhancing the health of middle-aged and older groups as well as rural individuals in China. According to mechanism analysis, digital literacy can enhance individuals' health by boosting income, improving employment quality, and expanding informal social support; however, the effects vary on physical and mental health.

conclusionSeveral policy suggestions emanate from the findings. To enhance the positive impact of digital literacy on individuals' health, the policy makers should emphasize on enhancing digital literacy particularly in rural areas and older age groups, bridging the digital divide, refining employment services and embracing a healthy concept of online social networking.

Indexed as

Computer LiteracyDigital TechnologyHealth LiteracyHealth StatusAdolescentAdultAgedChinaFemaleHumansMaleMental HealthMiddle AgedSocial SupportYoung AdultDigital literacyEmployment qualityIncomeInformal social supportMental healthPhysical health

Identifiers

PMID39881277
PMCPMC11776178

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.