Evidence map›Paper›PMID 40985483›Full record

ArticleChild and adolescent mental health2025

Debate: Social media in children and young people - time for a ban? It is time to take a precautionary approach. Why health professionals are calling for a ban on social media for under-16s.

Arabella Skinner, Rebecca Foljambe

Abstract read
In one paragraph

Article in Child and adolescent mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

2 authors.

Arabella SkinnerHealth Professionals for Safer Screens, London, UK.
Rebecca FoljambeHealth Professionals for Safer Screens, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As frontline health professionals working across paediatrics, psychiatry, psychology and general practice in the United Kingdom, we are witnessing an alarming and growing mental health crisis among children and adolescents, which we believe is exacerbated by social media use. Drawing upon clinical experience and supported by a growing body of research, we present evidence that social media contributes to a spectrum of adverse mental health outcomes, including anxiety, depression, eating disorders, body dysmorphia, self-harm and suicidality. Particularly vulnerable populations, including neurodivergent children and those facing socioeconomic disadvantage, are disproportionately affected. Despite academic suggestions of some benefits, our real-world experience of the preponderance of clinical cases indicates an urgent need for preventive action. We argue that current regulatory frameworks are insufficient and propose a precautionary public health approach: an immediate statutory ban on social media use for all children under 16, placing the burden of proof on technology companies to demonstrate safety before allowing access. We further advocate for the strengthening of age verification systems, public health campaigns, parental guidance interventions and routine clinical screening for problematic social media use. This paper reflects the collective voice of our health professionals on the frontline of child and adolescent care, calling for decisive policy action to address a preventable and escalating threat to youth mental health.

Indexed as

Mental DisordersSocial MediaAdolescentChildHealth PersonnelHumansUnited KingdomAge verification of 16 yearspublic health crisissafeguarding children

Identifiers

PMID40985483
PMCPMC12573066

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.