Evidence map›Paper›PMID 37723907›Full record

ArticleInternational journal of methods in psychiatric research2023

Advancing earlier transdiagnostic identification of mental health risk: A pragmatic approach at the transition to toddlerhood.

Jillian Lee Wiggins, Ana Ureña Rosario, Yudong Zhang, Leigha MacNeill, Qiongru Yu, Elizabeth Norton, Justin D Smith, Lauren S Wakschlag

Open access · goldAbstract read
In one paragraph

Article in International journal of methods in psychiatric research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

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  11. Predictive Utility of Irritability "In Context": Proof-of-Principle for an Early Childhood Mental Health Risk Calculator.Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53
    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 at 4 institutions in 1 country.

Jillian Lee WigginsDepartment of Psychology, San Diego State University, San Diego, California, USA.ORCID 0000-0002-4931-6589
Ana Ureña RosarioDepartment of Psychology, San Diego State University, San Diego, California, USA.
Yudong ZhangDepartment of Medical Social Sciences, Feinberg School of Medicine, Chicago, Illinois, USA.
Leigha MacNeillDepartment of Medical Social Sciences, Feinberg School of Medicine, Chicago, Illinois, USA.
Qiongru YuSan Diego State University/University of California, San Diego, Joint Doctoral Program in Clinical Psychology, San Diego, California, USA.
Elizabeth NortonDepartment of Medical Social Sciences, Feinberg School of Medicine, Chicago, Illinois, USA.
Justin D SmithDepartment of Population Health Sciences, Spencer Fox Eccles School of Medicine at the University of Utah, Salt Lake City, Utah, USA.
Lauren S WakschlagDepartment of Medical Social Sciences, Feinberg School of Medicine, Chicago, Illinois, USA.
Northwestern University · USSan Diego State University · USAlliant International University · USUniversity of Utah · US

Funding

Generating an Earlier Science of When to Worry: A Neurodevelopmental, Transactional Approach to Characterizing Irritability Patterns Beginning in InfancyR01MH107652 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI WAKSCHLAG, LAUREN S · 2016 to 2021
$4.0M
NIMH NIH HHS R01 MH107652NIMH NIH HHS R01MH107652
6 · The paper itself

Abstract

objectivesIn light of the youth mental health crisis, as 1 in 5 children have a mental disorder diagnosis by age 3, identification of transdiagnostic behavioral vulnerability prior to impairing psychopathology must occur at an earlier phase of the clinical sequence. Here, we lay the groundwork for a pragmatic irritability measure to identify at-risk infant-toddlers.

methodsData comprised N = 350 diverse infant-toddlers and their mothers assessed at ∼14 months old for irritability (Multidimensional Assessment Profiles- Temper Loss-Infant/Toddler (MAPS-TL-IT) and impairment (Early Childhood Irritability-Related Impairment Interview, E-CRI; and Family Life Impairment Scale (FLIS). Bimonthly follow-up surveys assessed impairment (FLIS) over the following year.

resultsStepwise logistic regression indicated that 5 MAPS-TL-IT items were most informative for differentiating concurrent impairment on the FLIS: "frustrated about small things"; "hit, bite, or kick during tantrums"; "trouble cheering up when grumpy"; "grumpy during fun activities" and "tantrums in public". With this summed score, Receiver Operating Characteristics analysis differentiating concurrent impairment on the E-CRI indicated good classification accuracy for (Area under the curve = 0.755, p < 0.05), with a cutoff of 5 maximizing sensitivity (71.4%) and specificity (70.6%). Elevated irritability on this MAPS-TL-IT clinically optimized screener increased likelihood of persistently elevated FLIS impairment trajectories over the following year more than fourfold (OR = 4.37; Confidence intervals = 2.40-7.97, p < 0.001).

conclusionsOur findings represent the first step toward a pragmatic tool for screening for transdiagnostic mental health risk in toddlers, optimized for feasibility in clinical care. This has potential to strengthen resilience pathways via earlier identification of mental health risk and corollary prevention in toddlers.

Indexed as

Irritable MoodMental HealthAdolescentChild, PreschoolFemaleHumansInfantMothersinfantirritabilitypediatricriskscreeningtoddlertransdiagnostic

Identifiers

PMID37723907
PMCPMC10654830
OpenAlexW4386843582

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.