Evidence map›Paper›PMID 40340971›Full record

ArticleBMC psychology2025

Social networking sites use and life satisfaction: a moderated mediation model of e-health literacy, fatigue, uncertainty, and stress.

Saeed Pahlevan Sharif, Navaz Naghavi, Osveh Esmaeelinezhad, Long She, Kelly-Ann Allen, Hamid Sharif-Nia, Pardis Rahmatpour

Abstract read
In one paragraph

Article in BMC psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Saeed Pahlevan SharifSunway Business School, Sunway University, Sunway City, Malaysia.
Navaz NaghaviCollege of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia.
Osveh EsmaeelinezhadDepartment of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran.
Long SheSunway Business School, Sunway University, Sunway City, Malaysia.
Kelly-Ann AllenSchool of Educational Psychology and Counselling, Faculty of Education, Monash University, Clayton, Australia.
Hamid Sharif-NiaPsychosomatic Research Center, Mazandaran University of Medical Sciences, Sari, Iran. pegadis@yahoo.com.
Pardis RahmatpourHealth Sciences Research Unit: Nursing (UICISA: E), Nursing School of Coimbra (ESEnfC), Coimbra, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excessive social media use during health crises can lead to information overload and psychological distress, yet the mechanisms underlying this relationship remain unclear. This study investigated how social networking sites (SNS) affected life satisfaction during the COVID-19 pandemic in Iran and whether this relationship was explained by SNS fatigue, uncertainty about disease, and stress. The research also examined whether e-health literacy was a protective factor in this process. Results confirmed that SNS use negatively affected life satisfaction through a sequential pathway of increased fatigue, uncertainty, and stress. E-health literacy moderated the initial link between SNS use and fatigue, with higher literacy weakening this relationship. The results demonstrate the complex relationship between SNS use and wellbeing during health crises and highlight the potential protective role of e-health literacy.

Indexed as

COVID-19FatigueHealth LiteracyPersonal SatisfactionSocial MediaSocial NetworkingStress, PsychologicalAdultFemaleHumansIranMaleMiddle AgedUncertaintyYoung AdultE-health literacyLife satisfactionSNS fatigueSocial networking sitesStress

Identifiers

PMID40340971
PMCPMC12063425

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.