Evidence map›Paper›PMID 27467563›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2016

A population study of first and subsequent pregnancy smoking behaviors in Ohio.

E S Hall, M Venkatesh, J M Greenberg

Abstract read
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In one paragraph

Article in Journal of perinatology : official journal of the California Perinatal Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 citing papers in PubMed.

  1. Article
  2. Evaluation of identifier field agreement in linked neonatal records.Journal of perinatology : official journal of the California Perinatal Association · 2017
    Article
  3. Patterns of Gestational Weight Gain and Infants Born Large-for-Gestational Age Across Consecutive Pregnancies.Women's health issues : official publication of the Jacobs Institute of Women's Health
    Observational
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

3 authors.

E S HallPerinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
M VenkateshCradle Cincinnati, Cincinnati, OH, USA.
J M GreenbergPerinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective of this study is to identify maternal characteristics associated with non-smoking during a subsequent pregnancy after first pregnancy smoking. STUDY

designWe conducted a retrospective population-based analysis of Ohio vital birth records from 2007 to 2013. We used logistic regression to calculate adjusted odds ratios with 95% confidence intervals for detection of characteristics associated with non-smoking during a subsequent pregnancy after first pregnancy smoking.

resultsAmong 75 190 mothers, 75.6% were non-smokers and 13.7% were smokers during both pregnancies. During their first pregnancy, 49.7% of 15 075 smokers quit. Of them, 50.1% remained non-smokers during their subsequent pregnancy. Women who reduced, but continued smoking during their first pregnancy, were more than five times as likely to smoke during their subsequent pregnancy than women who quit (odds ratio (95% confidence interval): 2.85 (2.43 to 3.35) vs 0.55 (0.45 to 0.67)).

conclusionInterventions targeting complete cessation, rather than reduction in smoking among first-time mothers, may be the most effective at optimizing long-term health benefits.

Indexed as

AdultBirth IntervalsBirth WeightFemaleHumansInfant, NewbornLogistic ModelsOdds RatioOhioPopulation SurveillancePregnancyPregnancy OutcomeRetrospective StudiesSmokingSmoking CessationYoung Adult

Identifiers

PMID27467563

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.