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Changes in Objectively Measured Smoking in Pregnancy by Time and Legislative Changes in Finland: a Retrospective Cohort Study

Overview
Journal BMJ Open
Specialty General Medicine
Date 2016 Nov 30
PMID 27895067
Citations 6
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Abstract

Objectives: To study the changes in prevalence, characteristics and outcomes of pregnant smokers over time and legislative changes.

Design And Setting: Retrospective nationwide cohort.

Participants: Our study consisted of 9627 randomly selected pregnancies from the Finnish Maternity Cohort (1987-2011), with demographic characteristics and pregnancy and perinatal data obtained from the Medical Birth Registry and early pregnancy serum samples analysed for cotinine levels. Women were categorised based on their self-reported smoking status and measured cotinine levels (with ≥4.73 ng/mL deemed high). Data were stratified to three time periods based on legislative changes in the Tobacco Act.

Primary And Secondary Outcome Measures: Prevalence of pregnant smokers and demographics, and perinatal and pregnancy outcomes of pregnant smokers over time.

Results: Overall, 71.6% of women were non-smokers, 16.2% were active cigarette smokers, 7.7% undisclosed smoking but had high cotinine levels and 4.5% were inactive cigarette smokers. The prevalence of active cigarette smokers decreased from mid-1990s onwards among women aged ≥30 years, probably due to the ban of cigarette smoking in most workplaces. We observed no changes in the prevalence of inactive smokers or women who undisclosed smoking by time or legislative changes.Women who undisclosed smoking had similar characteristics and perinatal outcomes as inactive and active smokers. Compared with non-smokers, women who undisclosed smoking were more likely to be young, unmarried, have a socioeconomic status lower than white-collar worker and have a preterm birth.

Conclusions: Women who undisclosed smoking were very similar to pregnant cigarette smokers. We observed a reduction in the prevalence of active pregnant cigarette smokers after the ban of indoor smoking in workplaces and restaurants, mostly among women aged ≥30 years.

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References
1.
Petersen I, McCrea R, Lupattelli A, Nordeng H . Women's perception of risks of adverse fetal pregnancy outcomes: a large-scale multinational survey. BMJ Open. 2015; 5(6):e007390. PMC: 4458601. DOI: 10.1136/bmjopen-2014-007390. View

2.
Bilano V, Gilmour S, Moffiet T, Tursan dEspaignet E, Stevens G, Commar A . Global trends and projections for tobacco use, 1990-2025: an analysis of smoking indicators from the WHO Comprehensive Information Systems for Tobacco Control. Lancet. 2015; 385(9972):966-76. DOI: 10.1016/S0140-6736(15)60264-1. View

3.
Dietz P, Homa D, England L, Burley K, Tong V, Dube S . Estimates of nondisclosure of cigarette smoking among pregnant and nonpregnant women of reproductive age in the United States. Am J Epidemiol. 2010; 173(3):355-9. DOI: 10.1093/aje/kwq381. View

4.
Benowitz N, Bernert J, Caraballo R, Holiday D, Wang J . Optimal serum cotinine levels for distinguishing cigarette smokers and nonsmokers within different racial/ethnic groups in the United States between 1999 and 2004. Am J Epidemiol. 2008; 169(2):236-48. DOI: 10.1093/aje/kwn301. View

5.
Kim H, Fay M, Feuer E, Midthune D . Permutation tests for joinpoint regression with applications to cancer rates. Stat Med. 2000; 19(3):335-51. DOI: 10.1002/(sici)1097-0258(20000215)19:3<335::aid-sim336>3.0.co;2-z. View