Evidence map›Paper›PMID 40964914›Full record

ArticleBiopsychosocial science and medicine

Sex-Specific Associations Between Early-Life Unpredictability and Trajectories of Body Mass Index From Infancy to Adolescence.

Emily M Melnick, LillyBelle K Deer, Jenalee R Doom, Hal S Stern, Curt A Sandman, Laura M Glynn, Elysia Poggi Davis

Abstract read
In one paragraph

Article in Biopsychosocial science and medicine. 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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0cells of the map it votes in
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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

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
Development of Psychopathology, Psychobiology, & BehaviorT32MH015442 · NIMH · UNIVERSITY OF COLORADO DENVER · PI JASON R TREGELLAS · 1985 to 2026
$10.2M
Reducing Fetal Exposure to Maternal Depression to Improve Infant Risk MechanismsR01MH109662 · NIMH · UNIVERSITY OF DENVER (COLORADO SEMINARY) · PI DAVIS, ELYSIA POGGI, HANKIN, BENJAMIN L · 2017 to 2021
$4.0M
Reducing maternal prenatal depression to improve child cardiovascular healthR01HL155744 · NHLBI · UNIVERSITY OF DENVER (COLORADO SEMINARY) · PI DAVIS, ELYSIA POGGI, DOOM, JENALEE RAE · 2021 to 2025
$3.6M
Maternal Stress and Fetal/Infant DevelopmentR01NS041298 · NINDS · UNIVERSITY OF CALIFORNIA-IRVINE · PI SANDMAN, CURT ALAN · 2002 to 2006
$2.8M
Fetal Programming of Early DevelopmentR01HD051852 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI SANDMAN, CURT ALAN · 2006 to 2010
$2.7M
Pregnancy Influences Environmental SensitivityR01HD040967 · NICHD · UNIVERSITY OF CALIFORNIA IRVINE · PI GLYNN, LAURA M · 2001 to 2005
$1.7M
Testing cortisol dysregulation as a mediator between early stress and adolescent cardiovascular healthK01HL143159 · NHLBI · UNIVERSITY OF DENVER (COLORADO SEMINARY) · PI DOOM, JENALEE RAE · 2019 to 2023
$788k
STRESS AND BIRTH OUTCOMESR01HD028413 · NICHD · UNIVERSITY OF CALIFORNIA IRVINE · PI SANDMAN, CURT ALAN · 1992 to 2001
$659k
Placental CRH and child cardiovascular disease risk and obesogenic eating behaviorsF32HL165844 · NHLBI · UNIVERSITY OF DENVER (COLORADO SEMINARY) · PI DEER, LILLYBELLE KUULEI · 2022 to 2024
$165k
Quality of Maternal Care Moderates the Developmental Consequences of Exposure toR03MH086062 · NIMH · UNIVERSITY OF CALIFORNIA-IRVINE · PI DAVIS, ELYSIA POGGI · 2009 to 2010
$153k
National Institute of Child Health and Human Development HD-28413NHLBI NIH HHS F32 HL165844NHLBI NIH HHS K01 HL143159NHLBI NIH HHS R01 HL155744NICHD NIH HHS R01 HD028413NICHD NIH HHS R01 HD040967NICHD NIH HHS R01 HD051852NIH HHS F32HL165844NIH HHS HD-40967NIH HHS HD-51852NIH HHS K01HL143159NIH HHS MH-96889NIH HHS NS-41298NIH HHS R01HL155744NIH HHS R01MH109662NIMH NIH HHS P50 MH096889NIMH NIH HHS R01 MH109662NIMH NIH HHS R03 MH086062NIMH NIH HHS T32 MH015442NIMH NIH HHS T32MH015442NINDS NIH HHS R01 NS041298
6 · The paper itself

Abstract

objectiveUnpredictability in early life is an understudied aspect of early life adversity that provides important signals to the child about their environment. Recent work shows the predictability of patterns of parental signals on a moment-to-moment timescale sculpts the developing brain during sensitive windows, offering a potential pathway through which early life experiences shape child development. Both experimental non-human animal models and observational human research show sex-specific links between early life exposure to unpredictable patterns of parental sensory signals and aberrant offspring development. The impact of predictability of sensory signals on physical health outcomes, such as BMI, remains unknown. Here, we examined the sex-specific association between unpredictable maternal sensory signals during infancy and child BMI trajectories from infancy through adolescence.

methodsIn a prospective cohort ( N =190 mother/child dyads), we quantified the unpredictability of maternal sensory signals (unpredictability of transitions between visual, auditory, and tactile signals mothers provide their infant) from free-play interactions at 6 and 12 month of age. Child BMI was measured longitudinally 7 times from infancy through adolescence. General linear mixed models assessed relations of unpredictability with BMI trajectories.

resultsGreater unpredictability of maternal sensory signals in infancy was associated with higher BMI over time for females (b=0.07, SE=0.03, P =.047 for overall trajectory difference), but not males (b=-0.03, SE=0.04, P =.450 for overall trajectory difference).

conclusionsFindings suggest early life unpredictability may be an important signal shaping biobehavioral pathways to later child weight status among females.

Indexed as

Body Mass IndexChild DevelopmentMother-Child RelationsAdolescentAdultChildChild, PreschoolFemaleHumansInfantLongitudinal StudiesMaleMothersProspective StudiesSex FactorsBMImaternal sensory signalssex differencesunpredictability

Identifiers

PMID40964914
PMCPMC12893236

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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.