Dataset Information

Cigarette Smoking Status and Substance Use in Pregnancy.

ABSTRACT: Objectives Substance use during pregnancy is a significant public health issue. Prenatal substance use increased in the past decade while prenatal cigarette smoking has remained stable. Co-use of tobacco and other drugs is a concern because of potential additive risks. This study aims to describe the prevalence rates of substance use among pregnant women and examine the association between smoking status (nonsmoker, recent quitter and current smoker) and other drug use. Methods In this cross-sectional study, pregnant women (n?=?500) were recruited from two obstetric practices to complete three substance use screeners and have their urine tested for 12 different drug classes, including cannabis, opioids and cocaine. Participants were divided into three groups based on survey responses: nonsmokers, recent quitters (smoked in the month prior to pregnancy but not past month) and current smokers (past-month). Results Approximately 29% of participants reported smoking in the month before pregnancy. During pregnancy, 17, 12 and 71% were current smokers, recent quitters and nonsmokers respectively. Overall prevalence of illicit or prescription drug use in pregnancy was 27%. Cannabis was the most common drug used in pregnancy with prevalence of 22%, followed by opioids (4%), cocaine (1%), tricyclic antidepressants (TCAs) (1%), amphetamines (1%), and benzodiazepines (1%). On multivariable logistic regression, smoking in pregnancy was associated with a positive urine drug screen; with adjusted odds ratio (aOR) 4.7 (95% CI 2.6-8.3) for current smokers and 1.6 (95% CI 0.8-3.3) for recent quitters. Factors negatively associated with positive drug screen were second and third trimester pregnancies, 0.5 (0.3-0.9) and 0.3 (0.2-0.6) respectively; and employment, 0.5 (0.3-0.8). Conclusions for Practice Co-use of tobacco and illicit drugs, particularly cannabis, is relatively high during pregnancy. Additional research is needed to understand the health implications of co-use versus use of tobacco only. Given the strong association between smoking and other drug use, clinicians should routinely assess for illicit drug use in women who smoke during pregnancy.

SUBMITTER: Oga EA

PROVIDER: S-EPMC6430977 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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Cigarette Smoking Status and Substance Use in Pregnancy.

Oga Emmanuel A EA Mark Katrina K Coleman-Cowger Victoria H VH

Maternal and child health journal 20181001 10

Objectives Substance use during pregnancy is a significant public health issue. Prenatal substance use increased in the past decade while prenatal cigarette smoking has remained stable. Co-use of tobacco and other drugs is a concern because of potential additive risks. This study aims to describe the prevalence rates of substance use among pregnant women and examine the association between smoking status (nonsmoker, recent quitter and current smoker) and other drug use. Methods In this cross-sec ...[more]

PMID: 29882032

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Project description:Introduction:This study examines the associations between early onset of e-cigarette use and cigarette smoking and other substance use behaviors among US adolescents. Methods:Data were collected via self-administered questionnaires from a nationally representative sample of 2299 US high school seniors attending public and private high schools during the spring of their senior year in 2015 as part of the Monitoring the Future study. Results:A higher percentage of adolescents who began using e-cigarettes in ninth grade or earlier (early onset) were found to report current and lifetime cigarette smoking and other substance use relative to those individuals who never used e-cigarettes or those who began using e-cigarettes later in the 12th grade. Multivariate logistic regression analyses indicated that the adjusted odds of alcohol use, cigarette smoking, marijuana use, nonmedical prescription drug use, and other illicit drug use among early onset e-cigarette users were significantly greater than those for individuals never having used e-cigarettes (adjusted odds ratios [AORs] ranged 9.5-70.6, p < .001). While these associations were significant for both experimental and frequent e-cigarette users, the effects of early onset were stronger among frequent e-cigarette users. Similarly, the odds of these substance use behaviors (except alcohol) among early onset e-cigarette users were also significantly greater than the odds for later onset e-cigarette users (AORs ranged 2.8-4.1, p < .05). Conclusions:Early onset of e-cigarette use was significantly associated with increased odds of cigarette smoking and other substance use behaviors. E-cigarette use is often preceded by alcohol use, cigarette smoking, and marijuana use, suggesting that more long-term prospective studies are warranted. Implications:To date, no studies have examined the probability of cigarette smoking and other substance use behaviors as a function of age at onset of e-cigarette use. In the present study, early onset of e-cigarette use was significantly associated with increased odds of cigarette smoking and other substance use behaviors. The findings reinforce the importance of addressing a wide range of substances including alcohol, traditional cigarettes, and marijuana when developing early primary prevention efforts to reduce e-cigarette use among youth.

Project description:Background: The microbiome is increasingly being linked to cancer risk. Little is known about the lung and oral cavity microbiomes in healthy smokers (SM), and even less for electronic cigarette (EC) users, compared healthy never-smokers (NS). Methods: In a cross-sectional pilot study of SM (N=8), EC users (N=10) and NS (N=10) saliva and bronchoscopy-collected bronchoalveolar lavage samples were collected. Bacteria species were identified through metatranscriptome profiling by RNA-sequencing to study associations with the lung and oral microbiome. Pairwise comparisons and linear modeling was assessed with false discovery rates <0.1. Results: Total bacterial load was similar for the SM, EC users and NS, and there was no differences in the bacterial diversity across groups. In the lung, there were 44 bacterial species that were statistically significantly different for SM/NS, 80% of which were decreased in the SM. There were 12 bacterial species that were different for SM/EC users, all of which were decreased, 10 of which were also identified in the SM/NS comparison. The 2 bacterial species unique to SM/EC comparison were Neisseria sp. KEM232 and Curvibacter sp. AEP1-3. From the top 5 decreased species in SM/EC, 3 were also identified in the SM/NS comparison (Neisseria elongata, Neisseria sicca, and Haemophilus parainfluenzae) and 2 of these were unique to the SM/EC comparison (Neisseria zoodegmatis and Ottowia sp. oral taxon 894). There were 8 species increased in SM compared to NS, none of which are known to be clinically significant. In the oral microbiome, 152 bacteria species were differentially abundant for the SM/NS analysis, and only 17 for the EC/NS comparison, all which were also present in SM/NS comparisons. There were 21 bacteria that were differentially abundant in both the lung and oral cavity for SM and NS, 95% also were decreased in the SM. Conclusion: Smoking and EC use do not appear to materially affect the lung microbiome, although differences are noted of unclear clinical significance. Most differentially abundant bacteria decreased, which may be due to a toxic effect of cigarette smoke, including a change in humidity or heating. Given the low number of overlapping oral and lung microbes, the oral microbiome does not appear to be a good surrogate for smoking-related effects in the lung.

Project description:ImportanceTobacco use is highly concentrated in persons with mental illness.ObjectivesTo assess trends in past-month prevalence of cigarette smoking among adults with vs without past-year depression, substance use disorders (SUDs), or both, using nationally representative data.Design, setting, and participantsExploratory, serial, cross-sectional study based on data from 558 960 individuals aged 18 years or older who participated in the 2006-2019 US National Surveys on Drug Use and Health.ExposurePast-year major depressive episode (MDE) and SUD using Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition, Text Revision) criteria.Main outcomes and measuresPast-month self-reported cigarette use, adjusted for sociodemographic characteristics.ResultsOf the sampled 558 960 adults, 41.4% (unweighted) were aged 18 to 25 years, 29.8% (unweighted) were aged 26 to 49 years, and 53.4% (unweighted) were women. From 2006 to 2019, the past-month self-reported cigarette smoking prevalence declined significantly among adults with MDE from 37.3% to 24.2% for an average annual percent change of -3.2 (95% CI, -3.5 to -2.8; P < .001), adults with SUD from 46.5% to 35.8% for an average annual percent change of -1.7 (95% CI, -2.8 to -0.6; P = .002), and adults with co-occurring MDE and SUD from 50.7% to 37.0% for an annual average annual percent change of -2.1 (95% CI, -3.1 to -1.2; P < .001). The prevalence declined significantly for each examined age, sex, and racial and ethnic subgroup with MDE and with SUD (all P < .05), except for no significant changes in American Indian or Alaska Native adults with MDE (P = .98) or with SUD (P = .46). Differences in prevalence of cigarette smoking between adults with vs without MDE declined significantly for adults overall from 11.5% to 6.6%, for an average annual percent change of -3.4 (95% CI, -4.1 to -2.7; P < .001); significant average annual percent change declines were also seen for men (-5.1 [95% CI, -7.2 to -2.9]; P < .001); for women (-2.7 [95% CI, -3.9 to -1.5]; P < .001); for those aged 18 through 25 years (-5.2 [95% CI, -7.6 to -2.8]; P < .001); for those aged 50 years or older (-4.7 [95% CI, -8.0 to -1.2]; P = .01); for Hispanic individuals (-4.4 [95% CI, -8.0 to -0.5]; P = .03), and for White individuals (-3.6 [95% CI, -4.5 to -2.7]; P < .001). For American Indian or Alaska Native adults, prevalence did not significantly differ between those with vs without MDE during 2006-2012 but was significantly higher for those with MDE during 2013-2019 (difference, 11.3%; 95% CI, 0.9 to 21.7; P = .04). Differences among those with vs without SUD declined for women for an average annual percent change of -1.8 (95% CI, -2.8 to -0.9; P = .001).Conclusions and relevanceIn this exploratory, serial, cross-sectional study, there were significant reductions in the prevalence of self-reported cigarette smoking among US adults with major depressive episode, substance use disorder, or both, between 2006 and 2019. However, continued efforts are needed to reduce the prevalence further.

Project description:ObjectivesExposure to tobacco products during pregnancy presents a potential harm to both mother and baby. This study sought to estimate the prevalence of vaping during pregnancy and to explore the factors and outcomes associated with vaping in pregnancy.SettingEngland.ParticipantsWomen who gave birth between 15th and 28th October 2017.MethodsA cross-sectional population-based postal survey of maternal and infant health, the National Maternity Survey (NMS) 2018. The prevalence of vaping and patterns of cigarette smoking were estimated, and regression analysis was used to explore associations between maternal characteristics and vaping, and between vaping and birth outcomes.Outcome measuresUnweighted and weighted prevalence of vaping with 95% confidence intervals, and unadjusted and adjusted relative risks or difference in means for the association of participant characteristics and secondary outcomes with vaping. Secondary outcome measures were: preterm birth, gestational age at birth, birthweight, and initiation and duration of breastfeeding.ResultsA total of 4,509 women responded to the survey. The prevalence of vaping in pregnancy was 2.8% (95%CI 2.4% to 3.4%). This varied according to the pattern of cigarette smoking in pregnancy: 0.3% in never-smokers; 3.3% in ex-smokers; 7.7% in pregnancy-inspired quitters; 9.5% in temporary quitters; and 17.7% in persistent smokers. Younger women, unmarried women, women with fewer years of formal education, women living with a smoker, and persistent smokers were more likely to vape, although after adjusting for pattern of cigarette smoking and maternal characteristics, persistent smoking was the only risk factor. We did not find any association between vaping and preterm birth, birthweight, or breastfeeding.ConclusionsThe prevalence of vaping during pregnancy in the NMS 2018 was low overall but much higher in smokers. Smoking was the factor most strongly associated with vaping. Co-occurrence of vaping with persistent smoking has the potential to increase the harms of tobacco exposure in pregnant women and their infants.

Dataset Information

Cigarette Smoking Status and Substance Use in Pregnancy.

Publications

Cigarette Smoking Status and Substance Use in Pregnancy.

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