Evidence map›Paper›PMID 21658862›Full record

ArticleDrug and alcohol dependence2011

Maternal risk factors predicting child physical characteristics and dysmorphology in fetal alcohol syndrome and partial fetal alcohol syndrome.

Philip A May, Barbara G Tabachnick, J Phillip Gossage, Wendy O Kalberg, Anna-Susan Marais, Luther K Robinson, Melanie Manning, David Buckley, H Eugene Hoyme

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 3 pooled it
7.4field-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

38 citing papers in PubMed, 3 syntheses or guidelines pooled it, 54 citations in OpenAlex.

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  5. Indicated Prevention of Fetal Alcohol Spectrum Disorders in South Africa: Effectiveness of Case Management.International journal of environmental research and public health · 2015
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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

9 authors at 6 institutions in 2 countries.

Philip A MayThe University of New Mexico, Center on Alcoholism, Substance Abuse, and Addictions (CASAA), Albuquerque, NM 87106, USA. pmay@unm.edu
Barbara G Tabachnick
J Phillip Gossage
Wendy O Kalberg
Anna-Susan Marais
Luther K Robinson
Melanie Manning
David Buckley
H Eugene Hoyme
University of New Mexico · USCalifornia State University, Northridge · USStanford University · USStellenbosch University · ZAUniversity at Buffalo, State University of New York · USUniversity of South Dakota · US

Funding

TRIAL OF FAS PREVENTION IN AMERICAN INDIAN COMMUNITIESU01AA011685 · NIAAA · UNIVERSITY OF NEW MEXICO · PI MAY, PHILIP ALAN · 2002 to 2008
$8.9M
Trajectory of Fetal Alcohol Spectrum Disorders (FASD) Across the Lifespan: Continuing Prevention and Longitudinal EpidemiologyR01AA015134 · NIAAA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MAY, PHILIP ALAN · 2006 to 2022
$4.5M
TRIAL OF FAS PREVENTION IN AMERICAN INDIAN COMMUNITIESR01AA011685 · NIAAA · UNIVERSITY OF NEW MEXICO · PI MAY, PHILIP ALAN · 1998 to 2001
$3.1M
FAS PREVENTION RESEARCH IN AMERICAN INDIAN COMMUNITIESR01AA009440 · NIAAA · UNIVERSITY OF NEW MEXICO · PI MAY, PHILIP ALAN · 1995 to 1998
–
NIAAA NIH HHS R01 AA009440NIAAA NIH HHS R01 AA011685NIAAA NIH HHS R01 AA015134NIAAA NIH HHS R01AA09440NIAAA NIH HHS R01 AA15134NIAAA NIH HHS R01/U01AA11685NIAAA NIH HHS U01 AA011685
6 · The paper itself

Abstract

backgroundPrevious research in South Africa revealed very high rates of fetal alcohol syndrome (FAS), of 46-89 per 1000 among young children. Maternal and child data from studies in this community summarize the multiple predictors of FAS and partial fetal alcohol syndrome (PFAS).

methodSequential regression was employed to examine influences on child physical characteristics and dysmorphology from four categories of maternal traits: physical, demographic, childbearing, and drinking. Then, a structural equation model (SEM) was constructed to predict influences on child physical characteristics.

resultsIndividual sequential regressions revealed that maternal drinking measures were the most powerful predictors of a child's physical anomalies (R² = .30, p < .001), followed by maternal demographics (R² = .24, p < .001), maternal physical characteristics (R²=.15, p < .001), and childbearing variables (R² = .06, p < .001). The SEM utilized both individual variables and the four composite categories of maternal traits to predict a set of child physical characteristics, including a total dysmorphology score. As predicted, drinking behavior is a relatively strong predictor of child physical characteristics (β = 0.61, p < .001), even when all other maternal risk variables are included; higher levels of drinking predict child physical anomalies.

conclusionsOverall, the SEM model explains 62% of the variance in child physical anomalies. As expected, drinking variables explain the most variance. But this highly controlled estimation of multiple effects also reveals a significant contribution played by maternal demographics and, to a lesser degree, maternal physical and childbearing variables.

Indexed as

Abnormalities, MultipleAlcohol DrinkingCentral Nervous System DepressantsChildEthanolFaciesFemaleFetal Alcohol Spectrum DisordersForecastingHumansInterview, PsychologicalMaleMothersMuscular AtrophyPregnancyPregnancy ComplicationsCentral Nervous System DepressantsEthanol

Identifiers

PMID21658862
PMCPMC3189325
OpenAlexW2018652848

What OpenQuestion holds

Textmetadata
LicenceTDM
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.