Evidence map›Paper›PMID 39974059›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Contribution of an under-recognized adversity to child health risk: large-scale, population-based ACEs screening.

Laura M Glynn, Sabrina R Liu, Charles Golden, Michael Weiss, Candice Taylor Lucas, Dan M Cooper, Louis Ehwerhemuepha, Hal S Stern, Tallie Z Baram

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Laura M GlynnDepartment of Psychology, Chapman University, Orange, CA.ORCID 0000-0001-5903-8685
Sabrina R LiuDepartment of Human Development, California State University, San Marcos, CA.
Charles GoldenChildren's Hospital of Orange County, Orange, CA.
Michael WeissChildren's Hospital of Orange County, Orange, CA.
Candice Taylor LucasDepartment of Pediatrics, University of California-Irvine, Irvine, CA.
Dan M CooperDepartment of Pediatrics, University of California-Irvine, Irvine, CA.
Louis EhwerhemuephaChildren's Hospital of Orange County, Orange, CA.
Hal S SternDepartment of Statistics, University of California-Irvine, Irvine, CA.
Tallie Z BaramDepartment of Pediatrics, University of California-Irvine, Irvine, CA.

Funding

Structural & Network-Function Correlates of Fragmented Early-Life Across SpeciesP50MH096889 · NIMH · UNIVERSITY OF CALIFORNIA-IRVINE · PI BARAM, TALLIE Z. · 2013 to 2023
$25.4M
NIMH NIH HHS P50 MH096889
6 · The paper itself

Abstract

Background and Objectives: Whereas adverse early life experiences (ACEs) correlate with cognitive, emotional and physical health at the population level, existing ACEs screens are only weakly predictive of outcomes for an individual child. This raises the possibility that important elements of the early-life experiences that drive vulnerability and resilience are not being captured. We previously demonstrated that unpredictable parental and household signals constitute an ACE with cross-cultural relevance. We created the 5-item Questionnaire of Unpredictability in Childhood (QUIC-5) that can be readily administered in pediatric clinics. Here, we tested if combined screening with the QUIC-5 and an ACEs measure in this real-world setting significantly improved prediction of child health outcomes. Methods: Leveraging existing screening with the Pediatric ACEs and Related Life Events Screener (PEARLS) at annual well-child visits, we implemented QUIC-5 screening in 19 pediatric clinics spanning the diverse sociodemographic constituency of Orange County, CA. Children (12yr+) and caregivers (for children 0-17years) completed both screens. Health diagnoses were abstracted from electronic health records (N=29,305 children). Results: For both screeners, increasing exposures were associated with a higher probability of a mental (ADHD, anxiety, depression, externalizing problems, sleep disorder) or physical (obesity abdominal pain, asthma, headache) health diagnosis. Across most diagnoses, PEARLS and QUIC provided unique predictive contributions. Importantly, for three outcomes (depression, obesity, sleep disorders) QUIC-5 identified vulnerable individuals that were missed by PEARLS alone. Conclusions: Screening for unpredictability as an additional ACE in primary care is feasible, acceptable and provides unique, actionable information about child psychopathology and physical health.

Identifiers

PMID39974059
PMCPMC11838625

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Registered trials

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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.