Evidence map›Paper›PMID 35228080›Full record

ArticleDrug and alcohol dependence2022

Trajectories of prenatal alcohol exposure and behavioral outcomes: Findings from a community-based sample.

G Bandoli, J A Kable, C D Coles, M Del Campo, M Suttie, C D Chambers

Open access · hybridAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 7% 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

9 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

6 authors at 3 institutions in 2 countries.

G BandoliDepartment of Pediatrics, University of California San Diego, La Jolla, CA 92093, USA. Electronic address: gbandoli@health.ucsd.edu.
J A KableDepartment of Psychiatry, Emory University, Atlanta, GA 30322, USA.
C D ColesDepartment of Psychiatry, Emory University, Atlanta, GA 30322, USA.
M Del CampoDepartment of Pediatrics, University of California San Diego, La Jolla, CA 92093, USA.
M SuttieDepartment of Obstetrics and Gynaecology, University of Oxford, Oxford, England.
C D ChambersDepartment of Pediatrics, University of California San Diego, La Jolla, CA 92093, USA.
University of California, San Diego · USEmory University · USUniversity of Oxford · GB

Funding

Collaboration to Establish the Prevalence of FASD in San Diego, CAU01AA019879 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHAMBERS, CHRISTINA · 2010 to 2017
$9.2M
Prevalence and Traits of FASD in the US Population: Evidence from SchoolsU01AA019894 · NIAAA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MAY, PHILIP ALAN · 2010 to 2017
$9.2M
Reassessing FASD: Novel Approaches for Evaluating Exposure, Diagnosis and Outcomes in Children Prenatally Exposed to AlcoholR01AA027785 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BANDOLI, GRETCHEN E. · 2020 to 2022
$1.5M
Applying Machine Learning in the Prediction and Identification of Children Affected by Prenatal Alcohol ExposureK01AA027811 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BANDOLI, GRETCHEN E. · 2019 to 2023
$865k
NIAAA NIH HHS K01 AA027811NIAAA NIH HHS R01 AA027785NIAAA NIH HHS U01 AA019879NIAAA NIH HHS U01 AA019894
6 · The paper itself

Abstract

objectiveTo characterize patterns of prenatal alcohol exposure (PAE), and determine whether PAE trajectories were associated with behavior from a community-based sample of first-grade children.

methodsUsing data collected as part of the Collaboration of Fetal Alcohol Spectrum Disorders Prevalence study (n = 1663), we performed longitudinal cluster analysis on prenatal alcohol use reported for four time points around conception and pregnancy. From the sample, 638 respondents reported any alcohol use in pregnancy and were included in trajectories for average daily and maximum drinks per drinking day (max DDD). We then estimated the association with behavioral problems measured by the Child Behavior Checklist (CBCL) and Teacher Report Form (TRF) with multivariable linear regression. The reference group had 1025 children with no reported PAE.

resultsFive trajectories were selected to describe max DDD patterns: very low/discontinuing (n = 186), low/discontinuing (n = 111), very low/continuing (n = 47), med/high (n = 245), and high (n = 49). Six trajectories best described average daily alcohol use: very low/discontinuing (n = 378), very low/continuing (n = 98), low/continuing (n = 56), low/discontinuing (n = 37), medium/high (n = 35), and high (n = 31). When assessing max DDD trajectories for both the CBCL and TRF, individuals with PAE in the two highest trajectories and the very low/continuing trajectory had more behavioral problems relative to children with no PAE, although confidence intervals for most estimates included the null. PAE modeled as average drinks per day did not predict behavior in any consistent pattern.

conclusionsIn this community-based sample, select PAE trajectories were associated with behavior, even at relatively low levels of PAE that continued later in gestation.

Indexed as

Fetal Alcohol Spectrum DisordersPrenatal Exposure Delayed EffectsAlcohol DrinkingChildFemaleHumansPregnancyBehavioral outcomesPrenatal alcohol exposureTrajectory models

Identifiers

PMID35228080
PMCPMC9310559
OpenAlexW4211118528

What OpenQuestion holds

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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.