Evidence map›Paper›PMID 40343102›Full record

ArticleFrontiers in psychiatry2025

The association of internet use and cognition among older adults: mediating roles of social networks and depressive symptoms.

Xiuyuan Zhu, Zihan Ni, Xiaoying Zhu, Yi Yang, Shiyu Xie, Xinguo Wang, Xiaoguang Yang

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2025. 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. Article
  2. Article
  3. Predictive model for mild cognitive impairment in older Chinese adults with depression.Neuropsychiatrie : Klinik, Diagnostik, Therapie und Rehabilitation : Organ der Gesellschaft Osterreichischer Nervenarzte und Psychiater · 2025
    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

7 authors.

Xiuyuan Zhu *School of Elderly Care Services and Management, Nanjing University of Chinese Medicine, Nanjing, China.
Zihan Ni *School of Elderly Care Services and Management, Nanjing University of Chinese Medicine, Nanjing, China.
Xiaoying ZhuSchool of Elderly Care Services and Management, Nanjing University of Chinese Medicine, Nanjing, China.
Yi YangSchool of Public Health, Fudan University, Shanghai, China.
Shiyu XieSchool of Elderly Care Services and Management, Nanjing University of Chinese Medicine, Nanjing, China.
Xinguo WangCollege of Public Health, Shanghai University of Medicine & Health Sciences, Shanghai, China.
Xiaoguang YangChinese Hospital Development Institute, Shanghai Jiaotong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To explore the chain-mediated roles of social networks and depressive symptoms in the relationship between internet use and cognition among older adults. Methods: Data were sourced from the 2018 China Longitudinal Aging Social Survey (CLASS). Structural equation modeling (SEM) was employed to analyze the potential mediating roles of social networks and depressive symptoms. Internet use, Lubben Social Network Scale (LSNS), the Center for Epidemiological Studies Depression Scale (CES-D) and Cognitive Scale were selected as indicators. Additionally, propensity score matching (PSM) was applied to further validate the robustness of the results by reducing potential selection bias and ensuring a more comparable distribution of observed covariates between internet users and non-users. Results: Our analysis found that the use of the internet by older adults was positively correlated with their social networks ( Conclusion: This chain-mediated model provided a clear depiction of how social networks and depressive symptoms mediate the impact of internet use on the cognition of older adults. Enhancements in internet literacy and optimization of age-appropriate product designs are recommended to improve cognitive functions in older populations.

Indexed as

cognitiondepressive symptomsinternet useolder adultssocial networks

Identifiers

PMID40343102
PMCPMC12058668

What Socratic holds

Textmetadata
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 Socratic graph.