Evidence map›Paper›PMID 31881741›Full record

ArticleInternational journal of environmental research and public health2019

Individual and Regional Characteristics Associated with Maternal Smoking During Pregnancy in Japan: Healthy Parents and Children 21.

Tadao Ooka, Yuka Akiyama, Ryoji Shinohara, Hiroshi Yokomichi, Zentaro Yamagata

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

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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.

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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

5 authors.

Tadao OokaDepartment of Health Sciences, University of Yamanashi, Yamanashi 409-3898, Japan.
Yuka AkiyamaDepartment of Health Sciences, University of Yamanashi, Yamanashi 409-3898, Japan.
Ryoji ShinoharaDepartment of Health Sciences, University of Yamanashi, Yamanashi 409-3898, Japan.
Hiroshi YokomichiDepartment of Health Sciences, University of Yamanashi, Yamanashi 409-3898, Japan.
Zentaro YamagataDepartment of Health Sciences, University of Yamanashi, Yamanashi 409-3898, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smoking during pregnancy causes various maternal and fetal health problems. Although there are considerable differences in maternal smoking proportions between localities, only a few studies have investigated the effects of regional characteristics on maternal smoking behavior. This study aimed to clarify the association between maternal smoking during pregnancy and individual and regional characteristics. We used data from a large nationwide birth cohort study in Japan that consisted of information on 20,267 women with children aged 3-4 months. The multilevel regression model was used to examine the association between smoking behavior during pregnancy and individual and regional characteristics. On multilevel analysis, late birth order, young age of the mother at birth, low birth weight, low economic status, husband's smoking during pregnancy, maternal alcohol consumption during pregnancy, absence of a pregnancy counselor, and lack of participation in local events for childrearing were significantly associated with maternal smoking behavior during pregnancy at the individual level. Meanwhile, a high unemployment rate and a high number of nurseries were significantly associated with maternal smoking behavior during pregnancy at the regional level. In conclusion, we showed the relation between maternal smoking during pregnancy and the individual- and regional-level characteristics.

Indexed as

Maternal BehaviorTobacco SmokingAdultAlcohol DrinkingChildChild RearingCohort StudiesFemaleHealth StatusHumansInfantInfant, Low Birth WeightInfant, NewbornJapanMothersMultilevel AnalysiscigarettesHealthy Parents and Children 21Japanpregnancysmokingsocial capital

Identifiers

PMID31881741
PMCPMC6981811

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LicenceCC BY
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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.