Evidence map›Paper›PMID 29170596›Full record

ArticleJournal of psychopathology and behavioral assessment2017

Early-onset Conduct Problems: Predictions from daring temperament and risk taking behavior.

Sunhye Bai, Steve S Lee

Abstract read
In one paragraph

Article in Journal of psychopathology and behavioral assessment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 12 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

2 authors at 1 institution in 1 country.

Sunhye BaiDepartment of Psychology, University of California, Los Angeles.
Steve S LeeDepartment of Psychology, University of California, Los Angeles.
University of California, Los Angeles · US

Funding

PREVENTION RESEARCH TRAINING:URBAN CHILDREN'S MENT HLTHT32MH015750 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHRISTINE DUNKEL SCHETTER · 1985 to 2026
$6.2M
Prospective predictors of alcohol expectancies in children with and without ADHDR03AA020186 · NIAAA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LEE, STEVE · 2010 to 2011
$76k
NIAAA NIH HHS R03 AA020186NIMH NIH HHS T32 MH015750
6 · The paper itself

Abstract

objectiveGiven its considerable public health significance, identifying predictors of early expressions of conduct problems is a priority. We examined the predictive validity of daring, a key dimension of temperament, and the Balloon Analog Risk Task (BART), a laboratory-based measure of risk taking behavior, with respect to two-year change in parent, teacher-, and youth self-reported oppositional defiant disorder (ODD), conduct disorder (CD), and antisocial behavior.

methodAt baseline, 150 ethnically diverse 6- to 10-year old (M=7.8, SD=1.1; 69.3% male) youth with (

resultsWhereas risk taking on the BART was unrelated to conduct problems, individual differences in daring prospectively predicted multi-informant rated conduct problems, independent of baseline risk taking, conduct problems, and ADHD diagnostic status.

conclusionEarly differences in the propensity to show positive socio-emotional responses to risky or novel experiences uniquely predicted escalating conduct problems in childhood, even with control of other potent clinical correlates. We consider the role of temperament in the origins and development of significant conduct problems from childhood to adolescence, including possible explanatory mechanisms underlying these predictions.

Indexed as

conduct disorderdaringearly-onset conduct problemsoppositional defiant disorderrisk takingtemperament

Identifiers

PMID29170596
PMCPMC5695721
OpenAlexW2732619564

What OpenQuestion holds

Textmetadata
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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.