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Does time on social media make teens anxious and depressed? The evidence is not so clear (opens in a new tab)

medicalxpress.com · 2026-11-04

Short answerEvidenceSource

Short answer

Mixed

Mixed.

The claims we could check match the study, but some claims were not covered by the evidence reviewed.

  • 2 supported
  • 2 not covered

Checked against the study summary. The full text wasn't available, so some details couldn't be settled either way.

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Follow the evidence trail
1
2

NewsLink checks it

Mixed

Every claim we could check holds up. Two of four claims match the study. This overall rating is based only on the claims we could check. Two claims the study doesn't address.

  • 2 supported
  • 2 not covered
Open claim evidence
3
Source paper

Source layer

The 4 papers the story cites

Source study separated from background citations.

The research anchor for the report.

Then inspect each claim

Evidence layer

Claim by claim

Each claim gets a verdict. Expand it to see the evidence directly below.

4 claims in this story

Showing all 4 claimsChoose a verdict to focus the list.

Claim 1 of 4Not coveredThe synthesis covered nearly 80,000 young people across 15 mainly high-income countries, and only one study was experimental.View evidenceHide evidence

As statednearly 80,000 participants; 37 studies; 15 countries; 1 experimental study

Why this verdict

The abstract-level profile supports the 37-study count and that only one of the eligible studies was experimental. However, it does not provide the total participant count, the number of countries, or the characterization as mainly high-income countries, so those parts cannot be verified at the supplied evidence depth.

1

Study evidence

Evidence base comprised 37 eligible studies: 36 longitudinal observational studies and 1 experimental study; SMU was measured mainly as time or frequency via self-report; outcomes assessed with standardized depression and anxiety measures in samples aged 10–24.

“Given the very weak relationships between SMU and the severity of anxiety and depression symptoms, SMU is unlikely to account for the contemporary youth mental health crisis.”
Claim 2 of 4Not coveredIn the single experimental study, young people assigned to cap social media use at one hour a day showed decreased depressive symptoms if they were already highly depressed.View evidenceHide evidence

As statedone hour a day

Why this verdict

The abstract-level profile states that one experiment was included, but it does not describe that experiment's intervention, a one-hour daily cap, subgrouping by baseline depression severity, or depressive-symptom results. The causal wording is hedged and may be appropriate for an experiment, but the specific claim is not verifiable from the supplied abstract-level profile.

1

Study evidence

Evidence base comprised 37 eligible studies: 36 longitudinal observational studies and 1 experimental study; SMU was measured mainly as time or frequency via self-report; outcomes assessed with standardized depression and anxiety measures in samples aged 10–24.

“Given the very weak relationships between SMU and the severity of anxiety and depression symptoms, SMU is unlikely to account for the contemporary youth mental health crisis.”
Claim 3 of 4SupportedThe authors analyzed 37 studies of social media use and anxiety/depression symptoms in young people aged 10–24 and found only a very weak link.View evidenceHide evidence

As statedless than 1% of symptom variation

Why this verdict

The abstract-level profile supports that the review included 37 eligible longitudinal/experimental studies in young people aged 10–24 and found very small positive associations between social media use and depressive symptoms (r = .08) and anxiety symptoms (r = .093). The stated 'less than 1%' variation is consistent with squaring these correlations, although the paper profile reports r values rather than variance explained directly.

1

Study evidence

Pooled longitudinal/experimental evidence indicates a very small positive association between social media use (time/frequency) and depressive symptoms in young people.r = 0.08 (95% CI [0.04, 0.11])

“systematic review and meta-analysis of longitudinal and experimental studies.”
2

Study evidence

Meta-analysis of five longitudinal/experimental studies found a very small positive association between social media use (time/frequency) and anxiety symptoms in young people.pooled r = 0.093 (95% CI [0.059, 0.126])

“Twelve studies examined depression outcomes … and five studies examined anxiety (pooled r = 0.093, 95% CIs [0.059, 0.126])”
Claim 4 of 4SupportedThe authors argue that restricting social media alone may not successfully address the youth mental health crisis and that other causes and solutions should be considered.View evidenceHide evidence

Why this verdict

The paper profile reports the authors' conclusion that, given very weak relationships, social media use is unlikely to account for the contemporary youth mental health crisis and that other potential causes should be investigated. The story's framing that restrictions alone may not address the crisis is an interpretive extension, but it is closely aligned with the authors' stated conclusion and is hedged.

1

Study evidence

Evidence base comprised 37 eligible studies: 36 longitudinal observational studies and 1 experimental study; SMU was measured mainly as time or frequency via self-report; outcomes assessed with standardized depression and anxiety measures in samples aged 10–24.

“Given the very weak relationships between SMU and the severity of anxiety and depression symptoms, SMU is unlikely to account for the contemporary youth mental health crisis.”
Then look for missing context

Context layer

What the story left out

Important study details the story did not include.

  • Only a subset of eligible studies contributed to the pooled outcome estimates: 12 for depression and 5 for anxiety.

    The story emphasizes the 37-study synthesis but, based on the supplied presentation, does not clearly mention that the meta-analytic estimates were based on smaller outcome-specific subsets. This is material because readers could infer that all 37 studies contributed directly to each pooled effect.

    From systematic review and meta-analysis; Systematic review and meta-analysis (longitudinal and experimental studies); System

  • The authors recommend further longitudinal research to examine potential non-monotonic relationships between social media use and adverse mental health outcomes.

    The supplied story caveats mention limits of time-spent measures and lack of clear causality, but do not mention the paper's specific call to examine non-monotonic relationships.

    From Systematic review and meta-analysis of longitudinal and experimental studies

  • The search and inclusion were limited to peer-reviewed English-language publications, implying possible language or publication bias.

    The supplied story presentation does not mention the English-language and peer-reviewed-publication inclusion restriction or the associated bias concern.

    From systematic review and meta-analysis; Systematic review and meta-analysis (longitudinal and experimental studies)

7 things the story did carry across
  • The paper is a systematic review and meta-analysis of longitudinal and experimental studies on social media use, measured as time/frequency, and depression/anxiety symptoms in young people aged 10–24.
  • The depression synthesis found a very small positive association, based on 12 studies, with pooled r = .08.
  • The anxiety synthesis found a very small positive association, based on 5 studies, with pooled r = .093.
  • The eligible evidence base included 37 studies overall: 36 longitudinal observational studies and one experiment.
  • Causal inference is limited because the evidence base was overwhelmingly longitudinal observational, with only one experiment.
  • Social media use was mainly measured as self-reported time/frequency, limiting measurement precision and construct breadth.
  • The authors conclude that social media use is unlikely to account for the contemporary youth mental health crisis and recommend attention to other potential causes.
Then read the study layer

Study layer

Study at a glance

Scan the study first. Expand only the parts you want to inspect.

Pieces of work

3

Evidence read

study summary

Lead result

secondary data

1Lead resultsecondary dataSynthesize evidence from longitudinal and experimental studies on the association between social media use (time/frequency) and depressive symptoms in young people (10–24), including pooled effect estimates and moderator analyses.systematic review and meta-analysisExpand

In plain English

Systematic review and meta-analysis of longitudinal and experimental studies (ages 10–24) examining the association between social media use (time/frequency, mainly self-report) and depressive symptoms. Twelve studies contributed to the pooled depression estimate, which was very small (pooled r = 0.08, 95% CI [0.04, 0.11]). Moderator tests found no effect of year of publication, follow-up duration, or mean sample age on the pooled depression association.

Key findings

  • Pooled longitudinal/experimental evidence indicates a very small positive association between social media use (time/frequency) and depressive symptoms in young people.r = 0.08 (95% CI [0.04, 0.11])
“systematic review and meta-analysis of longitudinal and experimental studies.”
What this piece can’t prove
  • Social media use measures were mainly self-reported time/frequency (measurement limitations implicit).
  • Only one experimental study was included among mostly longitudinal observational studies.
  • Depression pooled estimate was based on 12 studies (limited number of studies for this outcome).
  • Search and inclusion limited to peer-reviewed, English-language publications (possible language/publication bias).
  • Abstract notes need for further longitudinal research to examine non-monotonic relationships and other causes of youth mental health trends (implying current evidence is limited for alternative exposure–outcome shapes).
2secondary dataSynthesize evidence from longitudinal and experimental studies on the association between social media use (time/frequency) and anxiety symptoms in young people (10–24), including pooled effect estimates.Systematic review and meta-analysis (longitudinal and experimental studies)Expand

In plain English

Systematic review and meta-analysis of longitudinal and experimental studies of social media use (time/frequency, mainly self-report) and anxiety symptoms in young people (ages 10–24). Five studies contributed to a pooled correlation showing a very small positive association (pooled r = 0.093, 95% CI [0.059, 0.126]). The evidence base comprised 37 eligible studies overall (36 longitudinal observational, 1 experiment); anxiety-specific synthesis drew on five studies.

Key findings

  • Meta-analysis of five longitudinal/experimental studies found a very small positive association between social media use (time/frequency) and anxiety symptoms in young people.pooled r = 0.093 (95% CI [0.059, 0.126])
“Twelve studies examined depression outcomes … and five studies examined anxiety (pooled r = 0.093, 95% CIs [0.059, 0.126])”
What this piece can’t prove
  • Anxiety meta-analysis included only five studies, limiting precision and robustness.
  • Majority of contributing studies were longitudinal observational; only one experiment in the overall evidence set.
  • SMU measured mainly as time/frequency via self‑report, which may not capture qualitative or contextual aspects of social media exposure.
  • Inclusion restricted to peer‑reviewed, English‑language studies (possible language/publication bias).
  • Abstract does not report heterogeneity statistics or moderator analyses specific to the anxiety synthesis.
3otherCharacterize the evidentiary landscape (study designs included, counts of eligible studies, measurement approaches) and draw an overall conclusion about whether social media use is likely to explain the youth mental health crisis, plus implications for future research.Systematic review and meta-analysis of longitudinal and experimental studiesExpand

In plain English

Systematic review and meta-analysis of longitudinal and experimental studies (37 eligible studies: 36 longitudinal, 1 experiment) examining associations between social media use (SMU; time/frequency, mainly self-report) and standardized measures of depression and anxiety in samples aged 10–24. Meta-analytic pooling (depression: 12 studies; anxiety: 5 studies) found very small positive linear associations (depression pooled r = .08, 95% CI [.04, .11]; anxiety pooled r = .093, 95% CI [.059, .126]). No moderating effects of year of publication, follow-up duration, or mean sample age were found for the depression analysis. The authors interpret these very weak relationships as evidence that SMU is unlikely to account for the contemporary youth mental health crisis and recommend further longitudinal research to test non-monotonic relationships and investigation of other potential causes of rising youth mental health problems.

Key findings

  • Evidence base comprised 37 eligible studies: 36 longitudinal observational studies and 1 experimental study; SMU was measured mainly as time or frequency via self-report; outcomes assessed with standardized depression and anxiety measures in samples aged 10–24.
  • Pooled analysis for depression (12 studies) produced a very small positive association: pooled r = .08 (95% CI [.04, .11])..08 (95% CI [.04, .11])
“Given the very weak relationships between SMU and the severity of anxiety and depression symptoms, SMU is unlikely to account for the contemporary youth mental health crisis.”
What this piece can’t prove
  • SMU measurements were mainly self-reported time/frequency, which may limit measurement precision.
  • Only one experimental study was included, limiting experimental evidence for causality.
  • Meta-analytic pools included modest numbers of studies (12 for depression, 5 for anxiety).
  • Abstract does not report detailed study quality or risk-of-bias assessments in this summary.
Finally, the search trail

Method layer

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Papers considered

The selected paper, plus nearby candidates.

Europe PMC, Crossref, PubMed · 18 candidate papers

Candidate

Follow Friends One Hour a Day: Limiting Time on Social Media and Muting Strangers Improves Well-Being

Journal of Social and Clinical Psychology · 2023 · Crossref

Source (opens in a new tab)
Candidate

A systematic review: the influence of social media on depression, anxiety and psychological distress in adolescents

International Journal of Adolescence and Youth · 2020 · Crossref

Source (opens in a new tab)

And 12 more candidates considered.