Evidence map›Paper›PMID 39474430›Full record

ArticleComputers in human behavior2023

Social media behaviors and symptoms of anxiety and depression. A four-wave cohort study from age 10-16 years.

Silje Steinsbekk, Jacqueline Nesi, Lars Wichstrøm

Abstract read
In one paragraph

Article in Computers in human behavior, 2023. 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.

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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

3 authors.

Silje SteinsbekkDepartment of Psychology, Norwegian University of Science and Technology, Trondheim, Norway.
Jacqueline NesiDepartment of Psychiatry & Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA.
Lars WichstrømDepartment of Psychology, Norwegian University of Science and Technology, Trondheim, Norway.

Funding

Social Media Use and Mechanisms of Suicide Risk in AdolescentsK23MH122669 · NIMH · RHODE ISLAND HOSPITAL · PI NESI, JACQUELINE · 2020 to 2024
$1.0M
NIMH NIH HHS K23 MH122669
6 · The paper itself

Abstract

Background: Concerns have been raised that social media use causes mental health problems in adolescents, but findings are mixed, and effects are typically small. The present inquiry is the first to measure diagnostically-defined symptoms of depression and anxiety, examining whether changes in social media behavior predict changes in levels of symptoms from age 10 to 16, and vice versa. We differentiate between activity related to one's own vs. others' social media content or pages (i.e., self-oriented: posting updates, photos vs other-oriented: liking, commenting). Methods: A birth-cohort of Norwegian children was interviewed about their social media at ages 10, 12, 14 and 16 years ( Results: Within-person changes in self- and other oriented social media behavior were unrelated to within-person changes in symptoms of depression or anxiety two years later, and vice versa. This null finding was evident across all timepoints and for both sexes. Conclusions: The frequency of posting, liking, and commenting is unrelated to future symptoms of depression and anxiety. This is true also when gold standard measures of depression and anxiety are applied.

Indexed as

AdolescenceAnxietyDepressionRandom intercept cross-lagged panel modelSocial mediaWithin-person

Identifiers

PMID39474430
PMCPMC11521397

What OpenQuestion holds

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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.