Evidence map›Paper›PMID 31386246›Full record

ArticleBJOG : an international journal of obstetrics and gynaecology2019

Association between maternal alcohol consumption during pregnancy and risk of preterm delivery: the Japan Environment and Children's Study.

S Ikehara, T Kimura, A Kakigano, T Sato, H Iso, Japan Environment Children's Study Group

Abstract read
In one paragraph

Article in BJOG : an international journal of obstetrics and gynaecology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

S IkeharaPublic Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita-shi, Japan.
T KimuraDepartment of Public Health, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
A KakiganoDepartment of Obstetrics and Gynaecology, Osaka University Graduate School of Medicine, Suita-shi, Japan.
T SatoOsaka Maternal and Child Health Information Centre, Osaka Women's and Children's Hospital, Izumi, Japan.
H IsoPublic Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita-shi, Japan.
Japan Environment Children's Study Group

Funding

The Ministry of the Environment, Japan
6 · The paper itself

Abstract

objectiveTo examine the association between maternal alcohol consumption during pregnancy and the risk of preterm delivery.

designProspective cohort study.

settingThe Japan Environment and Children's Study (JECS). POPULATION: A total of 94 349 singleton pregnancies.

methodsParticipants completed questionnaires detailing alcohol consumption during the first trimester and during the second and third trimesters. Participants were divided into four categories according to alcohol consumption (non-drinkers, consumers of 1-149 g, 150-299 g and ≥300 g ethanol/week). We examined the effect of alcohol consumption during different stages of pregnancy on the risk of preterm delivery. Odds ratios (OR) and 95% CI were calculated relative to non-drinkers using logistic regression.

main outcome measuresMedical record-based preterm delivery.

resultsAlcohol consumption during the second and third trimesters, but not during the first trimester, was associated with increased risk of preterm delivery. Heavy alcohol consumption (≥300 g ethanol/week) during the second and third trimesters was associated with a four-fold higher risk compared with non-drinkers (multivariable OR 4.52; 95% CI 1.68-12.2). Light alcohol consumption (1-149 g ethanol/week) tended to be associated with lower risk of preterm delivery (multivariable OR 0.78; 95% CI 0.60-1.00).

conclusionsHeavy alcohol consumption during the second and third trimesters was associated with increased risk of preterm delivery among pregnant women. TWEETABLE ABSTRACT: Heavy drinking during pregnancy may increase the risk of preterm delivery.

Indexed as

AdultAlcohol DrinkingCohort StudiesFemaleHumansJapanMaternal-Child Health ServicesPregnancyPregnancy Trimester, SecondPregnancy Trimester, ThirdPremature BirthProspective StudiesRisk FactorsSurveys and QuestionnairesAlcohol consumptionpregnant womenpreterm deliveryprospective studythe Japan Environment and Children's Study (JECS)

Identifiers

PMID31386246
PMCPMC7003893

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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.