Evidence map›Paper›PMID 22339611›Full record

ArticleJournal of child and adolescent psychopharmacology2012

Real-world affect and social context as predictors of treatment response in child and adolescent depression and anxiety: an ecological momentary assessment study.

Erika E Forbes, Stephanie D Stepp, Ronald E Dahl, Neal D Ryan, Diana Whalen, David A Axelson, Boris Birmaher, Jennifer S Silk

Open access · greenAbstract readControlled Clinical Trial
In one paragraph

Article in Journal of child and adolescent psychopharmacology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 3 pooled it
5.8field-weighted citation impact, top 4% 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

48 citing papers in PubMed, 3 syntheses or guidelines pooled it, 87 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Erika E ForbesUniversity of Pittsburgh, Pittsburgh, Pennsylvania 15213, USA. forbese@upmc.edu
Stephanie D Stepp
Ronald E Dahl
Neal D Ryan
Diana Whalen
David A Axelson
Boris Birmaher
Jennifer S Silk
University of Pittsburgh · USUniversity of California, Berkeley · US

Funding

THE PSYCHOBIOLOGY OF CHILDHOOD ANXIETY AND DEPRESSIONP01MH041712 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RYAN, NEAL D. · 1986 to 2006
$10.8M
Emotion Regulation in Adolescence: A Social Affective Neuroscience ApproachR21DA024144 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DAHL, RONALD E., SILK, JENNIFER S · 2007 to 2010
$1.2M
Development, Positive Affect, and Adolescent DepressionK01MH074769 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FORBES, ERIKA E · 2006 to 2010
$736k
Affective Instability and Features of Borderline Personality in Adolescent GirlsK01MH086713 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STEPP, STEPHANIE D · 2010 to 2014
$689k
Assessment of Affect Instability in Adolescent Girls with BPD FeaturesF31MH093991 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WHALEN, DIANA J · 2011 to 2012
$77k
NIDA NIH HHS R21 DA024144NIMH NIH HHS F31 MH093991NIMH NIH HHS K01 MH074769NIMH NIH HHS K01 MH086713NIMH NIH HHS P01 MH41712
6 · The paper itself

Abstract

objectiveResponse to treatment in child and adolescent affective disorders is variable, with limited ability of any one treatment to improve outcome across patients. Unfortunately, we know little about the factors that explain this variability in treatment response. Individual differences in the social and affective dynamics of daily life could help to elucidate the characteristics of youth who respond to treatment.

methodsWe used ecological momentary assessment of negative affect, positive affect, and companions in natural settings over 4 days in a sample of young people with depressive and anxiety disorders who participated in an 8-week open trial of cognitive behavioral therapy (CBT), selective serotonin reuptake inhibitors (SSRIs), or a combination of the two. Clinicians rated participants' clinical severity at five time points, and participants reported their symptoms before and after treatment. Latent growth curve models were used to predict rate of change in clinical severity from pretreatment affect in natural settings.

resultsParticipants with high positive affect (PA), low negative affect (NA), and a high PA:NA ratio at baseline had lower severity, depressive symptoms, and anxiety symptoms at the end of treatment. Lower posttreatment symptoms were associated with spending more time with fathers and less time with peers before treatment. Although baseline affect was not associated with initial symptom severity, high NA and low PA:NA at baseline were related to slower rate of decline of severity during treatment. When baseline symptoms were included in models, NA and PA:NA predicted rate of decline in severity during treatment, whereas self-reported depressive and anxiety symptoms at baseline did not.

conclusionA more typical profile of baseline affective functioning in natural settings-that is, lower NA and higher PA-and time with fathers, could provide a foundation for treatment response in children and adolescents. Affective and social dynamics in natural settings could ultimately help investigate which young people might benefit from current treatments.

Indexed as

AdolescentAffectAnxiety DisordersChildCognitive Behavioral TherapyCombined Modality TherapyDepressive DisorderFather-Child RelationsFemaleHumansMalePeer GroupSelective Serotonin Reuptake InhibitorsSeverity of Illness IndexTime FactorsTreatment OutcomeSelective Serotonin Reuptake Inhibitors

Identifiers

PMID22339611
PMCPMC3281286
OpenAlexW2046494414

What OpenQuestion holds

Textmetadata
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.