Evidence map›Paper›PMID 32701974›Full record

ArticlePloS one2020

Prospective associations between internet use and poor mental health: A population-based study.

Becky Mars, David Gunnell, Lucy Biddle, Judi Kidger, Paul Moran, Lizzy Winstone, Jon Heron

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  10. A critical review of the Online Safety Bill.Patterns (New York, N.Y.) · 2022
    Review
  11. Review
  12. Article
  13. Article
  14. Information Technology Use and Cyberbullying Behavior in South Thailand: A Test of the Goldilocks Hypothesis.International journal of environmental research and public health · 2020
    Article
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

7 authors.

Becky MarsPopulation Health Sciences University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-8132-6920
David GunnellPopulation Health Sciences University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-0829-6470
Lucy BiddlePopulation Health Sciences University of Bristol, Bristol, United Kingdom.
Judi KidgerPopulation Health Sciences University of Bristol, Bristol, United Kingdom.
Paul MoranPopulation Health Sciences University of Bristol, Bristol, United Kingdom.
Lizzy WinstonePopulation Health Sciences University of Bristol, Bristol, United Kingdom.
Jon HeronPopulation Health Sciences University of Bristol, Bristol, United Kingdom.

Funding

Pathways to Alcohol Use Disorders in ALSPAC: A Genetic-Developmental StudyR01AA018333 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI DICK, DANIELLE M, KENDLER, KENNETH SEEDMAN · 2010 to 2014
$2.8M
Department of Health PR-RS-0912-11023Medical Research Council 092731Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009NIAAA NIH HHS R01 AA018333Wellcome TrustWellcome Trust 217065/Z/19/Z
6 · The paper itself

Abstract

objectivesMost of the evidence on the effects of internet use on mental health derives from cross-sectional research. We set out to explore prospective associations between internet use (hours online and specific internet experiences) and future mental health problems.

methodsParticipants were 1,431 respondents from the Avon Longitudinal Study of Parents and Children (ALSPAC), a UK birth cohort, who completed a questionnaire on internet use (time online and ten different internet experiences) when they were aged 18 years. Outcomes included past year self-harm, assessed at 21 years and high levels of depression and anxiety symptoms, assessed at 22 years. Associations were investigated using logistic regression models and analyses were conducted separately for males and females.

resultsFemales reporting high levels of internet use (number of hours online) were found to be at increased risk of depression at follow-up (highest tertile vs lowest tertile OR = 1.41, 95% CI 0.90 to 2.20), whereas males with high levels of internet use were at increased risk for self-harm (highest tertile vs lowest tertile OR = 2.53, 95%CI 0.93 to 6.90). There was no evidence to suggest an association between hours spent online and anxiety. With regards to the specific internet experiences, associations were found for females but not for males. In fully adjusted models, being bullied online (OR = 1.76, 95% CI 1.09 to 2.86) and meeting someone face to face (OR = 1.55, 95% CI 1.00 to 2.41) were associated with an increased risk of future depression. Being bullied online was also associated with an increased risk of future self-harm (OR = 2.42, 95% CI 1.41 to 4.15), along with receiving unwanted sexual comments or material, and coming across pornography and violent/gruesome material.

conclusionsOur findings highlight the importance of digital citizenship training to help teach young people to use technology safely and responsibly.

Indexed as

AdolescentAnxietyBehavior, AddictiveDepressionHumansInternetMental HealthYoung Adult

Identifiers

PMID32701974
PMCPMC7377422

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.