Evidence map›Paper›PMID 37941011›Full record

ArticleBMC psychology2023

The relationship between social media addiction, fear of missing out and family functioning: a structural equation mediation model.

Eleonora Topino, Alessio Gori, María Verónica Jimeno, Beatriz Ortega, Marco Cacioppo

Abstract read
In one paragraph

Article in BMC psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

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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

5 authors.

Eleonora TopinoDepartment of Human Sciences, LUMSA University of Rome, Via della Traspontina 21, Rome, 00193, Italy. e.topino@lumsa.it.
Alessio GoriDepartment of Health Sciences, University of Florence, Via di San Salvi 12, Pad. 26, Florence, 50135, Italy.
María Verónica JimenoDepartment of Psychology, School of Medicine, University of Castilla-La Mancha, Albacete, 02071, Spain.
Beatriz OrtegaDepartment of Psychology, School of Medicine, University of Castilla-La Mancha, Albacete, 02071, Spain.
Marco CacioppoDepartment of Human Sciences, LUMSA University of Rome, Via della Traspontina 21, Rome, 00193, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of social media became a daily activity for many individuals, with recreational, informational, and social purposes, to name a few. However, for some subjects, the use of these platforms may become problematic and generate functioning impairments in many life areas. Given this, the present research aimed at investigating the factor that may contribute to Social Media Addiction, by focusing on Fear of Missing Out and Family Functioning Patterns.

methodsA sample of 303 social media users (M

resultsCohesion, flexibility, and disengagement family functioning patterns were significantly associated with the levels of social media addiction. These dimensions were inserted in the structural equation model, where the full mediation of fear of missing out in their relationship with social media addiction was shown.

conclusionsThe data showed the protective effect of flexible and cohesive family functioning patterns, as well as the role of disengagement and, sequentially, fear of missing out as risk factors. These findings may provide useful indications to elaborate tailored and effective therapeutic and preventive activity.

Indexed as

Internet Addiction DisorderSocial MediaActivities of Daily LivingAdultFearFemaleHumansMaleRisk FactorsFamily FunctioningFear of Missing Out; FoMOMediation ModelSEM; structural equation modelingSocial Media Addiction; problematic social media use

Identifiers

PMID37941011
PMCPMC10634114

What OpenQuestion holds

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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 OpenQuestion graph.