Evidence map›Paper›PMID 30426910›Full record

ArticleDevelopment and psychopathology2019

Investigating multilevel pathways of developmental consequences of maltreatment.

Carrie E DePasquale, Elizabeth D Handley, Dante Cicchetti

Abstract read
In one paragraph

Article in Development and psychopathology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 33% 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, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
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 2 institutions in 1 country.

Carrie E DePasqualeInstitute of Child Development,University of Minnesota-Twin Cities,Minneapolis,MN,USA.ORCID 0000-0003-4812-3766
Elizabeth D HandleyMt. Hope Family Center,University of Rochester,Rochester,MN,USA.
Dante CicchettiInstitute of Child Development,University of Minnesota-Twin Cities,Minneapolis,MN,USA.
University of Minnesota · USUniversity of Minnesota Rochester · US

Funding

INSTITUTIONAL NATIONAL RESEARCH SERVICE AWARDT32MH015755 · NIMH · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Megan R Gunnar · 1985 to 2026
$5.9M
NIMH NIH HHS T32 MH015755
6 · The paper itself

Abstract

The impact of maltreatment spreads across many developmental domains and extends across the entire life span. Identifying unidirectional or bidirectional drivers of developmental cascades of the effects of maltreatment experiences is critical to efficiently employing interventions to promote resilient development in maltreated children. This 1-year longitudinal study utilized a multiple-levels approach, investigating "bottom-up" and "top-down" cascades using structural equation modeling between cortisol regulation, externalizing behavior, and peer aggression. Neither a bottom-up model driven by cortisol regulation nor a top-down model driven by peer aggression fit the data well. Instead, lower rates of externalizing behavior at Year 1 most strongly predicted improvements at all levels of analysis (reduced cortisol, externalizing behavior, and peer aggression) at Year 2. These results provide initial indication of a mechanism through which interventions for maltreated children may be most effective and result in the most substantial positive changes across developmental domains.

Indexed as

AggressionChildChild AbuseFemaleHumansHydrocortisoneLongitudinal StudiesMaleMultilevel AnalysisPeer GroupHydrocortisonecortisolexternalizingmaltreatmentpathwaysocial

Identifiers

PMID30426910
PMCPMC6517073
OpenAlexW2900620937

What OpenQuestion holds

Textmetadata
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.