Evidence map›Paper›PMID 34437299›Full record

ArticleJournal of behavioral addictions2021

Identifying the central symptoms of problematic social networking sites use through network analysis.

Andrea Svicher, Giulia Fioravanti, Silvia Casale

Abstract read
In one paragraph

Article in Journal of behavioral addictions, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  12. Network analysis of DSM-5 criteria for gambling disorder: considering sex differences in a large clinical sample.European psychiatry : the journal of the Association of European Psychiatrists · 2024
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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

3 authors.

Andrea SvicherDepartment of Health Sciences, Section of Psychology, University of Florence, Italy.ORCID 0000-0001-5183-6113
Giulia FioravantiDepartment of Health Sciences, Section of Psychology, University of Florence, Italy.ORCID 0000-0003-4871-2755
Silvia CasaleDepartment of Health Sciences, Section of Psychology, University of Florence, Italy.ORCID 0000-0003-3823-9773

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProblematic social media use (PSMU) has received growing attention in the last fifteen years. Even though PSMU has been extensively studied, its internal structure is not fully understood. We used network analysis to evaluate which symptoms and associations between symptoms are most central to PSMU - as assessed by the Generalized Problematic Internet Use Scale-2 adapted for PSMU - among undergraduates.

methodNetwork analysis was applied to a large gender-balanced sample of undergraduates (n = 1344 participants; M = 51.9%; mean age = 22.50 ± 2.20 years).

resultsThe most central nodes in the network were the difficulty of controlling one's own use of social media, the tendency to think obsessively about going online, the difficulties in resisting the urge to use social media and the preference for communicating with people online rather than face-to-face. This last element was strongly associated with a general preference for online social interactions and the feeling of being more comfortable online. The network was robust to stability and accuracy tests. The mean levels of symptoms and symptom centrality were not associated.

conclusionsDeficient self-regulation and preference for online communication were the most central symptoms of PSMU, suggesting that these symptoms should be prioritized in theoretical models of PSMU and could also serve as important treatment targets for PSMU interventions.

Indexed as

Social MediaSocial NetworkingAdultEmotionsHumansInternetStudentsYoung Adultbehavioral addictionsGeneralized Problematic Internet Use Scale-2network analysisproblematic social media useproblematic social networking sites usetechnological addictions

Identifiers

PMID34437299
PMCPMC8997205

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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.