Evidence map›Paper›PMID 37626121›Full record

ArticlePediatric research2024

Developmental trajectories of late preterm infants and predictors of academic performance.

Prachi E Shah, Julie Poehlmann, Heidi M Weeks, Maria Spinelli, Blair Richards, Joohee Suh, Niko Kaciroti

Open access · greenAbstract read
In one paragraph

Article in Pediatric research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
7.0field-weighted citation impact, top 3% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
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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

7 authors at 4 institutions in 2 countries.

Prachi E ShahDivision of Developmental Behavioral Pediatrics, Department of Pediatrics, Medical School, University of Michigan, Ann Arbor, MI, USA. prachis@umich.edu.
Julie PoehlmannDepartment of Human Development and Family Studies, University of Wisconsin, Madison, WI, USA.
Heidi M WeeksDepartment of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Maria SpinelliDepartment of Neurosciences, Imaging and Clinical Sciences, University G. D'Annunzio Chieti-Pescara, Chieti, Italy.
Blair RichardsMichigan Institute for Clinical & Health Research (MICHR), University of Michigan, Ann Arbor, MI, USA.
Joohee SuhResearch Foundation for Mental Hygiene, New York, NY, USA.
Niko KacirotiDepartment of Biostatistics, School of Public of Health, University of Michigan, Ann Arbor, MI, USA.
University of Michigan–Ann Arbor · USResearch Foundation For Mental Hygiene · USUniversity of Chieti-Pescara · ITUniversity of Wisconsin–Madison · US

Funding

Developmental Trajectories of Late Preterm Infants Using an Ecological FrameworkK08HD078506 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SHAH, PRACHI EDLAGAN · 2015 to 2018
$604k
NICHD NIH HHS K08 HD078506
6 · The paper itself

Abstract

backgroundThe trajectories of late preterm development from infancy to kindergarten reading and math, and predictors of academic resilience and risk are unknown.

methodsSample included 1200 late preterm infants (LPIs) from the Early Childhood Longitudinal Study, Birth Cohort. Objective measurements of development at 9 and 24 months (Bayley-SFR) and reading and math academic achievement at preschool and kindergarten were standardized; trajectories of late preterm development from 9 months to kindergarten reading and math were identified using latent class growth analysis. Multinomial logistic regression [aOR, 95% CI] identified predictors of academic resilience and risk.

resultsFour trajectory groups were observed for reading and three for math. More optimal trajectories (in reading and math) and academic resilience were associated with experiencing sensitive parenting and preschool attendance. Suboptimal (at-risk) trajectories (in reading or math) and an increased odds of academic risk were associated with <high school education, twin/multiple gestation, prenatal smoking and male sex.

conclusionsLPI trajectories varied from infancy to kindergarten. More sensitive parenting and preschool attendance predicted academic resilience, and should be encouraged. Select risk factors (prenatal smoking, twin/multiple gestation, male sex, <high school education) predicted academic risk, and can help identify LPIs who might benefit from closer monitoring prior to school entry. IMPACT: Late preterm infants (LPIs) have developmental risks compared to full terms. LPI trajectories of early reading and math varied from infancy to kindergarten. We identified predictors of academic resilience and risk, which can help inform anticipatory guidance provided to LPIs prior to kindergarten. Promotive factors (sensitive parenting and preschool enrollment) predicted academic resilience. Select maternal and neonatal characteristics (<high school education, male sex, prenatal smoking, and multiple gestation) predicted academic risk at kindergarten. LPIs account for the majority of preterm infants. Encouraging preschool enrollment and fostering sensitive parenting may promote early academic achievement in LPIs, which has population-level impacts.

Indexed as

Academic SuccessInfant, PrematureChild DevelopmentChild, PreschoolHumansInfantInfant, NewbornLongitudinal StudiesMaleParenting

Identifiers

PMID37626121
PMCPMC11439267
OpenAlexW4386168176

What OpenQuestion holds

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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.