Literature DB >> 27467563

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

E S Hall1,2, M Venkatesh2, J M Greenberg1,2.   

Abstract

OBJECTIVE: The objective of this study is to identify maternal characteristics associated with non-smoking during a subsequent pregnancy after first pregnancy smoking. STUDY
DESIGN: We 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.
RESULTS: Among 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)).
CONCLUSION: Interventions targeting complete cessation, rather than reduction in smoking among first-time mothers, may be the most effective at optimizing long-term health benefits.

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Mesh:

Year:  2016        PMID: 27467563     DOI: 10.1038/jp.2016.119

Source DB:  PubMed          Journal:  J Perinatol        ISSN: 0743-8346            Impact factor:   2.521


  36 in total

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4.  Twelve-month follow-up of a smoking relapse prevention intervention for postpartum women.

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5.  Predictors of smoking cessation in pregnancy and maintenance postpartum in low-income women.

Authors:  Yunsheng Ma; Karin Valentine Goins; Lori Pbert; Judith K Ockene
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6.  Predictors of Changes in Smoking From Third Trimester to 9 Months Postpartum.

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7.  Smoking behavior of recent mothers, 18-44 years of age, before and after pregnancy: United States, 1990.

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9.  The effects of parity on birthweight using successive pregnancies.

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10.  Development of a linked perinatal data resource from state administrative and community-based program data.

Authors:  Eric S Hall; Neera K Goyal; Robert T Ammerman; Megan M Miller; David E Jones; Jodie A Short; Judith B Van Ginkel
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  2 in total

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2.  Evaluation of identifier field agreement in linked neonatal records.

Authors:  E S Hall; K Marsolo; J M Greenberg
Journal:  J Perinatol       Date:  2017-05-11       Impact factor: 2.521

  2 in total

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