Evidence map›Paper›PMID 36171349›Full record

ArticleScientific reports2022

Examination of risk exposure models during COVID-19 in relation to youth life satisfaction and internalizing symptoms.

Romy S Snetselaar, Juliëtte M Liber, Suzanne M Geurts, Ina M Koning

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. The Longitudinal Effects of Parent-Adolescent Digital Communication on Depression and Anxiety Symptoms.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2025
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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

4 authors at 1 institution in 1 country.

Romy S SnetselaarDepartment of Developmental Psychology, Utrecht University, Utrecht, The Netherlands.
Juliëtte M LiberDepartment of Developmental Psychology, Utrecht University, Utrecht, The Netherlands.
Suzanne M GeurtsDepartment of Interdisciplinary Social Science, Utrecht University, Utrecht, The Netherlands.
Ina M KoningDepartment of Interdisciplinary Social Science, Utrecht University, Utrecht, The Netherlands. h.m.koning@vu.nl.
Utrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined mediation of a negative COVID-impact on the relationship between risk exposure, and life satisfaction and internalizing symptoms in youth (aged 9-18). Four operationalizations of risk exposure were applied; an Additive versus a Cumulative Risk Model (ARM and CRM), risk clusters and the most salient risk factors. Results showed that a stronger negative COVID-impact is related to lower life satisfaction, more internalizing symptoms and higher additive and cumulative risk. ARM and CRM's effect on lower life satisfaction is mediated through negative COVID-impact, though not for internalizing symptoms. Clusters of risk factors and risk factors within clusters significantly related to a stronger negative COVID-impact are the clusters 'Individual factors' (low self-control), 'Parenting' (negative mother-child interaction and low parental responsiveness), 'Maternal mental health' and 'Demographic factors' (low SES and high paternal education). From all significant risk factors, low self-control, low parental responsiveness, negative mother-child interaction and low SES were most salient.

Indexed as

COVID-19AdolescentHumansMaleMother-Child RelationsParentingParentsPersonal Satisfaction

Identifiers

PMID36171349
PMCPMC9518947
OpenAlexW4297502431

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.