Evidence map›Paper›PMID 39260117›Full record

ReviewDevelopmental cognitive neuroscience2024

Leveraging the science of early life predictability to inform policies promoting child health.

Laura M Glynn, Sabrina R Liu, Candice Taylor Lucas, Elysia Poggi Davis

Abstract readReview
In one paragraph

Review in Developmental cognitive neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

4 authors.

Laura M GlynnDepartment of Psychology, Chapman University, United States. Electronic address: lglynn@chapman.edu.
Sabrina R LiuDepartment of Human Development, California State University San Marcos, United States.
Candice Taylor LucasDepartment of Pediatrics, University of California Irvine, United States.
Elysia Poggi DavisDepartment of Pediatrics, University of California Irvine, United States; Department of Psychology, University of Denver, United States.

Funding

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

Abstract

Addressing the tremendous burden of early-life adversity requires constructive dialogues between scientists and policy makers to improve population health. Whereas dialogues focused on several aspects of early-life adversity have been initiated, discussion of an underrecognized form of adversity that has been observed across multiple contexts and cultures is only now emerging. Here we provide evidence for "why unpredictability?", including: 1. Evidence that exposures to unpredictability affect child neurodevelopment, with influences that persist into adulthood. 2. The existence of a translational non-human animal model of exposure to early life unpredictability that can be capitalized upon to causally probe neurobiological mechanisms. 3. Evidence that patterns of signals in the early environment promote brain maturation across species. 4. The uneven distribution of unpredictability across demographic populations that illuminates a possible focal point for enhancing health equity. We then outline the potential of unpredictability in terms of the "what"; that is, how might the concept of unpredictability be leveraged to inform policy? We emphasize the importance of interdisciplinary and community partnerships to the success of this work and describe our community-engaged research project. Finally, we highlight opportunities for the science of unpredictability to inform policies in areas such as screening, immigration, criminal justice, education, childcare, child welfare, employment, healthcare and housing.

Indexed as

Child HealthAdverse Childhood ExperiencesAnimalsChildChild DevelopmentHealth PolicyHumansBrain developmentCommunity engagementEarly life adversityHealth disparitiesHealth equityInterventionMental healthPolicyPreventionScreeningUnpredictability

Identifiers

PMID39260117
PMCPMC11415967

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.