Evidence map›Paper›PMID 29603040›Full record

ArticleJournal of behavioral medicine2018

Screening for childhood adversity: the what and when of identifying individuals at risk for lifespan health disparities.

Kate Ryan Kuhlman, Theodore F Robles, Julienne E Bower, Judith E Carroll

Abstract read
In one paragraph

Article in Journal of behavioral medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
–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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Dimensions of early life adversity and cardiometabolic health in adulthood: A systematic review and meta-analysis.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Kate Ryan KuhlmanDepartment of Psychology and Social Behavior, School of Social Ecology, University of California Irvine, 4201 Social and Behavioral Sciences Gateway, Irvine, CA, 92697-7085, USA. krkuhl@uci.edu.ORCID 0000-0002-2902-0449
Theodore F RoblesDepartment of Psychology, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Julienne E BowerCousins Center for Psychoneuroimmunology, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA.
Judith E CarrollCousins Center for Psychoneuroimmunology, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA.

Funding

U19 MIDlife in the United States-Diversity Supplement-WellsU19AG051426 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI CHRISTOPHER L COE · 2016 to 2026
$74.8M
STATISTICS COREP01AG020166 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI RYFF, CAROL D. · 2002 to 2015
$50.6M
PREVENTION RESEARCH TRAINING:URBAN CHILDREN'S MENT HLTHT32MH015750 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHRISTINE DUNKEL SCHETTER · 1985 to 2026
$6.2M
Behavioral and inflammatory responses to stress: Implications for depression in youth exposed to adversityK08MH112773 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KUHLMAN, KATE RYAN · 2017 to 2021
$862k
NIA NIH HHS P01 AG020166NIA NIH HHS U19 AG051426NIMH NIH HHS K08 MH112773NIMH NIH HHS T32 MH015750
6 · The paper itself

Abstract

Existing research on childhood adversity and health risk across the lifespan lacks specificity regarding which types of exposures to assess and when. The purpose of this study was to contribute to an empirically-supported framework to guide practitioners interested in identifying youth who may be at greatest risk for a lifelong trajectory of health disparities. We also sought to identify the point in childhood at which screening for adversity exposure would capture the largest group of at risk individuals for triage to prevention and intervention services. Participants (n = 4036) collected as part of the Midlife in the United States study reported their medical status and history including physical (cardiovascular disease, hypertension, obesity, diabetes, cancer) and mental health (depression, substance use problems, sleep problems). Participants indicated whether they were exposed to 7 adversities at any point in childhood and their age of exposure to 19 additional lifetime adversities before the age of 18. Parent drug abuse, dropping out or failing out of school, being fired from a job, and sexual assault during childhood exhibited the largest effect sizes on health in adulthood, which were comparable to the effects of childhood maltreatment. Childhood adversity screening in early adolescence may identify the largest proportion of youth at risk for negative health trajectories. The results of this descriptive analysis provide an empirical framework to guide screening for childhood adversity in pediatric populations. We discuss the implications of these observations in the context of prevention science and practice.

Indexed as

Life Change EventsAdultAdult Survivors of Child AbuseAgedAged, 80 and overAge FactorsChronic DiseaseFemaleHumansMaleMental DisordersMiddle AgedRisk FactorsUnited StatesAcademic problemsAdolescenceChild adversityHealth disparitiesIntegrated primary careParent substance abusePrevention science

Identifiers

PMID29603040
PMCPMC6031456

What OpenQuestion holds

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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.