Evidence map›Paper›PMID 39890098›Full record

ArticleJournal of medical Internet research2025

Impact of Internet Usage on Depression Among Older Adults: Comprehensive Study.

Lin Guo, Yunwei Li, Kai Cheng, Ying Zhao, Wenqiang Yin, Ying Liu

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

6 authors.

Lin Guo *School of Management, Shandong Second Medical University, Weifang, China.ORCID https://orcid.org/0000-0001-6467-2963
Yunwei Li *School of Management, Shandong Second Medical University, Weifang, China.ORCID https://orcid.org/0009-0007-1212-1335
Kai ChengSchool of Management, Shandong Second Medical University, Weifang, China.ORCID https://orcid.org/0009-0001-9560-9147
Ying ZhaoSchool of Management, Shandong Second Medical University, Weifang, China.ORCID https://orcid.org/0009-0005-0545-5818
Wenqiang YinSchool of Management, Shandong Second Medical University, Weifang, China.ORCID https://orcid.org/0009-0005-5855-2259
Ying LiuSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, China.ORCID https://orcid.org/0009-0001-7913-9464

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression is a widespread mental health issue affecting older adults globally, with substantial implications for their well-being. Although digital interventions have proven effective in high-income countries, research on the potential of internet usage to alleviate depression among older adults in high-income countries remains limited.

objectiveThis study aimed to examine the impact of internet usage on depression among older adults in high-income countries by developing a comprehensive theoretical framework and testing key hypotheses.

methodsUsing data from the China Health and Retirement Longitudinal Study (CHARLS), a 2-stage instrumental variable approach was applied to address endogeneity and estimate causal relationships between internet usage and depression.

resultsThe findings indicate that internet usage results in a 1.41% reduction in depression levels among older adults. This effect is mediated by four primary mechanisms: (1) enhanced social interaction, (2) increased physical activity, (3) improved intergenerational contact, and (4) expanded access to educational opportunities. A heterogeneity analysis revealed that these effects are more pronounced in urban areas, eastern regions, and regions with superior internet infrastructure.

conclusionsInternet usage plays a crucial role in alleviating depression among older adults in high-income countries, with regional variations. The findings highlight the need for targeted policy interventions to improve internet access and digital literacy, which can mitigate depression and enhance the mental health of older adults.

Indexed as

DepressionInternetInternet UseAgedAged, 80 and overChinaFemaleHumansLongitudinal StudiesMaleMiddle Ageddepressionheterogeneityinternet usagemechanismmobile phoneolder people

Identifiers

PMID39890098
PMCPMC11829179

What OpenQuestion holds

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LicenceCC BY
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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.