Evidence map›Paper›PMID 26924917›Full record

ArticleJournal of child and family studies2016

Negative Affectivity Moderates Associations between Cumulative Risk and At-Risk Toddlers' Behavior Problems.

Laura M Northerner, Christopher J Trentacosta, Caitlin M McLear

Abstract read
In one paragraph

Article in Journal of child and family studies, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 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

3 authors at 1 institution in 1 country.

Laura M NorthernerWayne State University.
Christopher J TrentacostaWayne State University.
Caitlin M McLearWayne State University.
Wayne State University · US

Funding

Transmission Mechanisms of Emotion Regulation and Externalizing ProblemsK01MH082926 · NIMH · WAYNE STATE UNIVERSITY · PI TRENTACOSTA, CHRISTOPHER J · 2009 to 2013
$762k
NIMH NIH HHS K01 MH082926
6 · The paper itself

Abstract

This study examined cumulative risk, temperament traits, and their interplay as predictors of internalizing, externalizing, and sleep problems in at-risk toddlers. Participants were 104 low-income mother-toddler dyads recruited from Women, Infants, and Children (WIC) sites in a large city. The sample was primarily African American, and mothers were 21 years of age or younger at the child's birth. The dyads were assessed when the toddlers were approximately 18 months old and again at 24 months of age. Though all toddlers were from low-income families with young mothers, the families varied in the degree to which other contextual risk factors were present. A cumulative risk index was calculated based on five contextual factors: maternal education, neighborhood dangerousness, social support, household overcrowding and single parenting. In multiple regressions, cumulative risk predicted sleep and externalizing problems. In addition, negative affectivity predicted all three domains of problem behaviors, effortful control predicted fewer externalizing problems, and surgency predicted fewer internalizing problems. Moreover, low negative affectivity buffered the association between cumulative risk and both internalizing and sleep problems. These findings suggest that it is important to consider children's temperament traits in conjunction with the constellation of family risks when designing prevention programs to reduce the prevalence of behavior problems early in life.

Indexed as

at-risk familiesbehavior problemscumulative risktemperamenttoddlers

Identifiers

PMID26924917
PMCPMC4764257
OpenAlexW804947462

What OpenQuestion holds

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LicenceTDM
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.