Evidence map›Paper›PMID 39649292›Full record

ArticleDigital health

The impact of digital skills on health: Evidence from the China General Social Survey.

Cheng Qin, Yuchen Zhu, Donglin Li, Can Liu

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Observational
  2. Article
  3. 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

4 authors.

Cheng QinSchool of Economics, Guangxi University, Nanning, China.
Yuchen ZhuCollege of Economics and Management, China Agricultural University, Beijing, China.ORCID https://orcid.org/0000-0002-4045-0423
Donglin LiInstitute of Industrial Economics, Chinese Academy of Social Sciences, Beijing, China.
Can LiuCollege of Education, City University of Malaysia, Kuala Lumpur, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The widespread penetration of the internet and digital technology have profoundly impacted the global economy and people's lives. Although the impact of digital skills on social development and personal lifestyles is well-documented, their influence on health and health inequalities remains underexplored. This study aims to analyze the impact of digital skills on health and health inequalities and to investigate the underlying mechanisms. Methods: This study utilized cross-sectional data from the 2017 China General Social Survey ( Results: Enhancing digital skills enhances population health by boosting economic status, increasing social participation, and improving access to information. However, the impact varies by age and residence. Digital skills have a stronger effect on the health of young and middle-aged individuals, as well as urban residents, compared to older adults and rural populations. Furthermore, digital skills exacerbate health inequalities, benefiting high-income groups and widening the gap between income levels. Conclusions: Widespread promotion and continuous improvement of digital skills are key to enhancing public health. We need to focus on the popularization of digital skills and the construction of digital infrastructure for low-income disadvantaged groups and rural areas, as well as use various means to reduce group and regional differences in the impact of digital skills on health conditions.

Indexed as

Chinadigital divideDigital skillsH51healthhealth inequalitiesI10I18JEL classification:

Identifiers

PMID39649292
PMCPMC11622307

What OpenQuestion holds

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LicenceCC BY-NC
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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.