Evidence map›Paper›PMID 42846722›Full record

ArticleFrontiers in psychiatry2026

Beyond social media time: online self-disclosure, depressive symptoms, somatic complaints, and suicidal ideation in adolescents.

Grazia Maria Giovanna Pastorino, Antonio Aquino, Rossella Suriano, Roberto Buonaiuto, Giuseppe Diaspro, Miriam Olivieri, Noemi Mungo, Francesca Felicia Operto

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Grazia Maria Giovanna PastorinoDepartment of Health Sciences, Magna Graecia University of Catanzaro, Catanzaro, Italy.
Antonio AquinoDepartment of Health Sciences, Magna Graecia University of Catanzaro, Catanzaro, Italy.
Rossella SurianoDepartment of Health Sciences, Magna Graecia University of Catanzaro, Catanzaro, Italy.
Roberto BuonaiutoClinical and Translational Oncology, Scuola Superiore Meridionale, Naples, Italy.
Giuseppe DiasproDepartment of Mental Health, Physical Health and Preventive Medicine, University of Campania "L.Vanvitelli", Naples, Italy.
Miriam OlivieriSalerno Medical School, University of Salerno, Baronissi, Italy.
Noemi MungoDepartment of Health Sciences, Magna Graecia University of Catanzaro, Catanzaro, Italy.
Francesca Felicia OpertoDepartment of Health Sciences, Magna Graecia University of Catanzaro, Catanzaro, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Screen time alone may not adequately capture adolescents' digital vulnerability. This study examined whether private online self-disclosure, depressive symptoms, and somatic complaints were associated with suicidal ideation beyond time spent on social media. Methods: A school-based cross-sectional study was conducted in 1364 adolescents aged 11-19 years. Participants completed a questionnaire on social media use and private online self-disclosure, the Children's Depression Inventory-2, and selected Youth Self-Report items assessing somatic complaints and suicidal ideation. Correlation and hierarchical regression analyses were performed. Results: Suicidal ideation was associated with depressive symptoms, somatic complaints, and private online self-disclosure. In the final regression model, depressive symptoms, somatic complaints, and private online self-disclosure remained independently associated with suicidal ideation, whereas time spent on social media was not significantly associated with suicidal ideation after adjustment for the other predictors. Somatic complaints explained additional variance beyond depressive symptoms and social media-related variables. Conclusions: Private online self-disclosure and somatic complaints were associated with greater psychological vulnerability beyond time spent on social media, although their predictive and clinical utility requires further investigation in prospective studies.

Indexed as

adolescents’depressive symptomsprivate online self-disclosuresocial mediasomatizationsuicidal ideation

Identifiers

PMID42846722
PMCPMC13643379

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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.