Evidence map›Paper›PMID 32466383›Full record

ArticleInternational journal of environmental research and public health2020

Aspects of Parent-Child Interaction from Infancy to Late Adolescence Are Associated with Severity of Childhood Maltreatment through Age 18.

Jennifer E Khoury, Mallika Rajamani, Jean-François Bureau, M Ann Easterbrooks, Karlen Lyons-Ruth

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-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

7 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
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  7. Special Issue: Parent-Child Interactions: Paths of Intergenerational Transmission of Psychopathological Risk.International journal of environmental research and public health · 2020
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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

5 authors at 4 institutions in 2 countries.

Jennifer E KhouryDepartment of Psychiatry, Cambridge Hospital, 1035 Cambridge Street, Cambridge, MA 02141, USA.
Mallika RajamaniDepartment of Psychiatry, Cambridge Hospital, 1035 Cambridge Street, Cambridge, MA 02141, USA.
Jean-François BureauSchool of Psychology, University of Ottawa, Ottawa, ON K1N 6N5, Canada.
M Ann EasterbrooksEliot-Pearson Department of Child Development, Tufts University, Medford, MA 02155, USA.
Karlen Lyons-RuthDepartment of Psychiatry, Cambridge Hospital, 1035 Cambridge Street, Cambridge, MA 02141, USA.
Harvard University · USCambridge Hospital · USTufts University · USUniversity of Ottawa · CA

Funding

NIMH NIH HHS R01MH35122 and R01MH06030
6 · The paper itself

Abstract

Childhood maltreatment (CM) is a pervasive public health problem worldwide, with negative health consequences across the lifespan. Despite these adverse outcomes, identifying children who are being maltreated remains a challenge. Thus, there is a need to identify reliably observable features of parent-child interaction that indicate risk for CM and that can instigate strategically targeted family supports. The aim of this longitudinal study was to assess multiple aspects of observed mother-child interaction from infancy to late adolescence as risk indicators of the overall severity of CM by age 18. Mother-child dyads were assessed in infancy (

Indexed as

Child AbuseMother-Child RelationsAdolescentAdultChildFemaleHumansInfantLongitudinal StudiesParentsProspective StudiesRetrospective StudiesYoung AdultattachmentKeywords: child maltreatmentlongitudinalparent–child interaction

Identifiers

PMID32466383
PMCPMC7312453
OpenAlexW3032510646

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.