Evidence map›Paper›PMID 40282102›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

Online Captive: The Impact of Social Media Addiction on Depression and Anxiety-An SEM Approach to the Mediating Role of Self-Esteem and the Moderating Effects of Age and Professional Status.

Daniela-Elena Lițan

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

1 author.

Daniela-Elena LițanPsychology Department, West University of Timișoara, 300223 Timișoara, Romania.ORCID 0000-0002-8013-9840

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the "era" in which social networks have become an integral part of everyday life, this study aims to analyze the impact of social network addiction on mental health, with a focus on the manifestation of anxiety and depression symptoms. The relationship analyzed on a batch of a Romanian adult population, explained by self-esteem and influenced by factors such as age and professional status, highlights the fact that all age categories and professional status can be affected by addiction to the online environment but with different degrees of intensity. The analyses carried out using Structural Equation Modeling (SEM) suggest that young people and professionally inactive people are the categories with the highest degree of self-esteem impairment and with a high potential to manifest symptoms associated with depression and anxiety disorders, as a result of the intense use of social networks. The current study makes a significant contribution to the specialized literature, given the small volume of similar studies conducted on the adult population of Romania.

Indexed as

anxietydepressionprofessional statusself-esteemsocial networks

Identifiers

PMID40282102
PMCPMC12024447

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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.