Evidence map›Paper›PMID 42324304›Full record

ArticleScientific reports2026

Affective reactivity to upward social comparisons rather than social media use predicts increases in early adolescents' depressive symptoms.

Andrea Irmer, Florian Schmiedek

Abstract read
In one paragraph

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

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

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

2 authors.

Andrea IrmerDIPF | Leibniz Institute for Research and Information in Education, and Center for Research on Individual Development and Adaptive Education of Children at Risk (IDeA), Frankfurt am Main, Germany. a.irmer@dipf.de.ORCID 0000-0003-2940-6613
Florian SchmiedekDIPF | Leibniz Institute for Research and Information in Education, and Center for Research on Individual Development and Adaptive Education of Children at Risk (IDeA), Frankfurt am Main, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Youths differ substantially in how they emotionally respond to daily experiences. Repeated episodes of heightened negative affect in daily life may accumulate over time and increase vulnerability for developing depressive disorders. This study examined whether individual differences in negative affective reactivity to daily social experiences (i.e., social media use and upward social comparisons) predict changes in depressive symptoms over two weeks. Using a 14-day diary design with 200 early adolescents (103 female; ages 10-14), we assessed daily social media use, daily upward social comparisons, daily negative affect, and depressive symptoms at pre- and posttest. We employed multilevel structural equation modeling, estimating the within-person coupling between daily social media use (Model 1) or upward social comparisons (Model 2) and daily negative affect and tested whether between-person differences in the strength of this coupling predicted average negative affect and depressive symptom change. Findings revealed that a stronger within-person coupling between upward social comparisons and negative affect, but not between social media use and negative affect, was associated with an increase in depressive symptoms via elevated negative affect across the study. These results highlight the importance of capturing dynamic affective responses to daily social comparison processes when assessing psychological risk in early adolescence.

Indexed as

AffectDepressionSocial MediaAdolescentChildDigital MediaFemaleHumansMaleMedia ExposureIndividual differencesMental healthSmartphoneSocial networking sites

Identifiers

PMID42324304
PMCPMC13284303

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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.