Evidence map›Paper›PMID 40108552›Full record

ArticleBMC public health2025

Study on the relationship between depressive symptoms and Internet use in the older adults under the background of population aging-evidence based on CHARLS 2018 and 2020.

Mengzi Guo, Zihang Li, Yixuan Chen, Xiangwan Chen, Zhi Cheng, Zhiru Tang

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 7 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. The Association Between Internet Use and Mental Health Among Empty-Nest Elderly: A Cross-Sectional Study.Inquiry : a journal of medical care organization, provision and financing
    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

6 authors.

Mengzi GuoSchool of Health Administration, Anhui Medical University, Hefei, 230032, China.
Zihang LiSchool of Health Administration, Anhui Medical University, Hefei, 230032, China.
Yixuan ChenSchool of Health Administration, Anhui Medical University, Hefei, 230032, China.
Xiangwan ChenSchool of Health Administration, Anhui Medical University, Hefei, 230032, China.
Zhi ChengSchool of Health Administration, Anhui Medical University, Hefei, 230032, China.
Zhiru TangSchool of Health Administration, Anhui Medical University, Hefei, 230032, China. tang_zhiru2004668@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch has identified the effect of Internet use on depressive symptoms, where as the results remain controversial. Given the fact that both Internet use and depressive symptoms are in dynamic change, this paper focuses on the relationship between depressive symptoms and Internet use among Chinese elderly people in the context of population aging, which could generate targeted policy recommendations aimed at safeguarding the healthy development of older adults and provide an important basis for the government to build a more inclusive aging society.

methodsA total of 15,637 samples were extracted for analyses using CHARLS (China Health and Retirement Longitudinal Study) data after matching the 2018 and 2020 data by sample-identified correlation IDs (including ID, household ID, and community ID). The matching was intended to reduce the potential for confounding variables that could arise if the two datasets included different individuals, and make it easier to draw conclusions about the relationship between depressive symptoms and Internet use over time for the consistent people. Statistical analyses were performed using SPSS 28.0 and STATA software. Measurement data were expressed as

resultsOlder adults with greater device ownership had less severer depressive symptoms (P < 0.001) and those without Internet access (P < 0.05) had severer depressive symptoms. Older adults who didn't use mobile phones to pay (P < 0.001) and didn't use WeChat (P < 0.05) or post to their friends (P < 0.001) had severer depressive symptoms. The impact of Internet use was more evident among older adults who self-assessed health very good, were relatively younger, urban, and in marriage (P < 0.05).

conclusionsInternet use might have a significant impact on depressive symptoms among older adults in the context of population aging.

Indexed as

AgingDepressionInternet UseAgedAged, 80 and overChinaFemaleHumansLongitudinal StudiesMaleMiddle AgedCHARLSDepressive symptomsInternet use,older adults

Identifiers

PMID40108552
PMCPMC11921652

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LicenceCC BY-NC-ND
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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.