Evidence map›Paper›PMID 41705336›Full record

ArticlePsychological medicine2026

Using machine learning to identify parenting features prospectively related to callous-unemotional traits from infancy to early adolescence.

Y Paz, S C Vogel, P K Goh, E R Perkins, A Broussard, N Huth, A J Rosellini, R Mills-Koonce, M T Willoughby, N J Wagner and 1 more

Abstract read
In one paragraph

Article in Psychological medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Y Pazhttps://ror.org/00b30xv10University of Pennsylvania.ORCID https://orcid.org/0000-0002-1265-5923
S C VogelUniversity of Massachusetts Boston.
P K GohUniversity of Hawai'i at Mānoa.ORCID https://orcid.org/0000-0002-5454-4885
E R Perkinshttps://ror.org/00b30xv10University of Pennsylvania.ORCID https://orcid.org/0000-0003-3473-8962
A Broussardhttps://ror.org/00b30xv10University of Pennsylvania.
N Huthhttps://ror.org/05qwgg493Boston University.ORCID https://orcid.org/0009-0004-9905-5462
A J Rosellinihttps://ror.org/05qwgg493Boston University.
R Mills-KoonceUniversity of North Carolina.
M T WilloughbyResearch Triangle Institute (RTI International).
N J Wagnerhttps://ror.org/05qwgg493Boston University.
R Wallerhttps://ror.org/00b30xv10University of Pennsylvania.ORCID https://orcid.org/0000-0002-5069-1183

Funding

Israel Science Foundation 92/22National Institute of Mental Health and Neurosciences MH126162
6 · The paper itself

Abstract

backgroundParenting is related to the development of callous-unemotional (CU) traits (i.e. low empathy and restricted guilt), making it an important target of interventions for childhood conduct problems (CPs). However, the relative importance of different parenting features in relation to the development of CU traits remains unclear. This study used machine learning to examine multiple parenting features assessed across infancy and early childhood as predictors of CU traits and CPs in early adolescence.

methodsData were from the Family Life Project (

resultsParenting features explained 8.2% of CU traits variability in preadolescence, with top predictors including early sensitive parenting and later behavior management and scaffolding practices. Prediction of CPs was weaker, with parenting explaining 4.5% of the variability.

conclusionsResults highlight that disruption in close and sensitive early parent-child relationships is relevant to the development of CU traits. Results from the prediction of CPs indicate a more heterogeneous etiology. Findings support targeting parental sensitivity and behavior management within preventative interventions for CU traits and CPs.

Indexed as

Conduct DisorderEmpathyMachine LearningParent-Child RelationsParentingAdolescentChildChild, PreschoolFemaleHumansInfantMalecallous-unemotional traitsconduct problemsmachine learningparentingtreatment

Identifiers

PMID41705336
PMCPMC12916225

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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.