Evidence map›Paper›PMID 38163164›Full record

ArticleHeliyon2024

Mechanism study of social media overload on health self-efficacy and anxiety.

Kai Li, Shanshan Jiang, Xingde Yan, Jie Li

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. [Analysis of Information literacy skills in Medical Residents].Revista medica del Instituto Mexicano del Seguro Social · 2025
    Observational
  10. Article
  11. Observational
  12. Article
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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

4 authors.

Kai LiSchool of Journalism and Communication, Guangxi University, Nanning, 530004, China.
Shanshan JiangSchool of Journalism and Communication, Guangxi University, Nanning, 530004, China.
Xingde YanSchool of Journalism and Communication, Guangxi University, Nanning, 530004, China.
Jie LiSchool of Journalism and Communication, Guangxi University, Nanning, 530004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies have found that people's excessive use of social media may have a negative impact on their crisis coping skills. This study focuses on the effects of social media overload (information overload, communication overload and social overload) on anxiety and health self-efficacy during the COVID-19 pandemic. The study used an online questionnaire and partial least squares structural equation modeling (PLS-SEM) to obtain data (816 valid samples), analyze the data and validate the model. The findings revealed that social media overload (information overload, communication overload and social overload) triggers increased social media fatigue, which in turn leads to the development of anxiety and the consequence of diminished health self-efficacy; social media fatigue plays a partially mediating role between social media and health self-efficacy and a fully mediating role between communication overload and health self-efficacy. The results of this study can inform the development of crisis communication strategies during public health emergencies.

Indexed as

AnxietyCOVID-19 pandemicHealth self-efficacySocial media fatigueSocial media overload

Identifiers

PMID38163164
PMCPMC10757012

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.