Evidence map›Paper›PMID 38634466›Full record

ArticleJournal of child psychology and psychiatry, and allied disciplines2024

Contamination bias in the estimation of child maltreatment causal effects on adolescent internalizing and externalizing behavior problems.

John M Felt, Ulziimaa Chimed-Ochir, Kenneth A Shores, Anneke E Olson, Yanling Li, Zachary F Fisher, Nilam Ram, Chad E Shenk

Abstract read
In one paragraph

Article in Journal of child psychology and psychiatry, and allied disciplines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
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.

John M FeltCenter for Healthy Aging, The Pennsylvania State University, University Park, PA, USA.ORCID 0000-0002-7334-6489
Ulziimaa Chimed-OchirDepartment of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, USA.
Kenneth A ShoresSchool of Education, University of Delaware, Newark, DE, USA.
Anneke E OlsonDepartment of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, USA.
Yanling LiDepartment of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, USA.
Zachary F FisherDepartment of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, USA.
Nilam RamDepartment of Communications, Stanford University, Stanford, CA, USA.
Chad E ShenkDepartment of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, USA.

Funding

Improving Risk Estimation in Observational Research on Child Maltreatment: Establishing Methods for the Effective Control of ContaminationR03HD104739 · NICHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI SHENK, CHAD · 2021 to 2022
$161k
Division of Behavioral and Cognitive Sciences 2041333National Institute of Child Health and Human Development R03HD104739-01NICHD NIH HHS R03 HD104739
6 · The paper itself

Abstract

backgroundWhen unaddressed, contamination in child maltreatment research, in which some proportion of children recruited for a nonmaltreated comparison group are exposed to maltreatment, downwardly biases the significance and magnitude of effect size estimates. This study extends previous contamination research by investigating how a dual-measurement strategy of detecting and controlling contamination impacts causal effect size estimates of child behavior problems.

methodsThis study included 634 children from the LONGSCAN study with 63 cases of confirmed child maltreatment after age 8 and 571 cases without confirmed child maltreatment. Confirmed child maltreatment and internalizing and externalizing behaviors were recorded every 2 years between ages 4 and 16. Contamination in the nonmaltreated comparison group was identified and controlled by either a prospective self-report assessment at ages 12, 14, and 16 or by a one-time retrospective self-report assessment at age 18. Synthetic control methods were used to establish causal effects and quantify the impact of contamination when it was not controlled, when it was controlled for by prospective self-reports, and when it was controlled for by retrospective self-reports.

resultsRates of contamination ranged from 62% to 67%. Without controlling for contamination, causal effect size estimates for internalizing behaviors were not statistically significant. Causal effects only became statistically significant after controlling contamination identified from either prospective or retrospective reports and effect sizes increased by between 17% and 54%. Controlling contamination had a smaller impact on effect size increases for externalizing behaviors but did produce a statistically significant overall effect, relative to the model ignoring contamination, when prospective methods were used.

conclusionsThe presence of contamination in a nonmaltreated comparison group can underestimate the magnitude and statistical significance of causal effect size estimates, especially when investigating internalizing behavior problems. Addressing contamination can facilitate the replication of results across studies.

Indexed as

BiasChild AbuseAdolescentAdolescent BehaviorChildChild Behavior DisordersChild, PreschoolFemaleHumansMaleProblem BehaviorProspective StudiesRetrospective StudiesSelf Reportcausal estimationChild maltreatmentcontaminationexternalizing behaviorsinternalizing behaviorssynthetic control method

Identifiers

PMID38634466
PMCPMC11486838

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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.