Evidence map›Paper›PMID 39676824›Full record

ArticleRisk management and healthcare policy2024

Short-Form Video Applications Usage and Functionally Dependent Adults' Depressive Symptoms: A Cross-Sectional Study Based on a National Survey.

Chen Li, Yangyang Wang

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

2 authors.

Chen LiSchool of Media and Communication, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China.ORCID 0000-0002-5546-7455
Yangyang WangSchool of Communication, Soochow University, Suzhou, 215123, People's Republic of China.ORCID 0000-0003-0300-5125

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study constructed a theoretical model based on the social compensation theory and used it to investigate the effects of short-form video applications usage on depressive symptoms among functionally dependent adults. Methods: An empirical analysis was conducted based on a national sample of 8752 adults aged 45+ from China Family Panel Studies (CFPS) wave 2020. This study examined the effects of short-form video applications usage on depressive symptoms in functionally dependent adults by constructing linear regression models. Further, the mediating effect of interpersonal relationship, and the moderating effect of video games were then sequentially analyzed with the help of macro PROCESS4.0 tool. Results: Results showed that: (1) short-form video applications usage significantly reduced the level of depressive symptoms among functionally dependent adults; (2) interpersonal relationship exerted a mediating effect of 10.36% in the process of short-form video applications usage reducing the level of depressive symptoms among functionally dependent adults; (3) video games attenuated the healing effect of short-form video applications usage on the level of depressive symptoms in functionally dependent adults, but not significantly in the functionally dependent adults aged 60+. Conclusion: New electronic media, represented by short-form video applications, have the potential to intervene in the mental health of functionally dependent adults. Social policymakers should consider adopting relevant e-healing measures to enhance the well-being of vulnerable groups.

Indexed as

depressive symptomsfunctionally dependent adultsinterpersonal relationshipshort-form video applications usagevideo games

Identifiers

PMID39676824
PMCPMC11646470

What OpenQuestion holds

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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.