Kristin Ashford

The Effects of Prenatal Secondhand Smoke Exposure on Preterm Birth and Neonatal Outcomes

OBJECTIVE To examine the relationship between prenatal secondhand smoke (SHS) exposure, preterm birth and immediate neonatal outcomes by measuring maternal hair nicotine. DESIGN Cross-sectional, observational design. SETTING A metropolitan Kentucky birthing center. PARTICIPANTS Two hundred and ten (210) mother-baby couplets. METHODS Nicotine in maternal hair was used as the biomarker for prenatal SHS exposure collected within 48 hours of birth. Smoking status was confirmed by urine cotinine analysis. RESULTS Smoking status (nonsmoking, passive smoking, and smoking) strongly correlated with low, medium, and high hair nicotine tertiles (ρ=.74; p<.001). Women exposed to prenatal SHS were more at risk for preterm birth (odds ratio [OR]=2.3; 95% Confidence Interval [CI] [.96, 5.96]), and their infants were more likely to have immediate newborn complications (OR=2.4; 95% CI [1.09, 5.33]) than nonexposed women. Infants of passive smoking mothers were at increased risk for respiratory distress syndrome (RDS) (OR=4.9; 95% CI [1.45, 10.5]) and admission to a Neonatal Intensive Care Unit (NICU) (OR=6.5; CI [1.29, 9.7]) when compared to infants of smoking mothers (OR=3.9; 95% CI [1.61, 14.9]; OR=3.5; 95% CI [2.09, 20.4], respectively). Passive smokers and/or women with hair nicotine levels greater than .35 ng/ml were more likely to deliver earlier (1 week), give birth to infants weighing less (decrease of 200-300 g), and deliver shorter infants (decrease of 1.1-1.7 cm). CONCLUSIONS Prenatal SHS exposure places women at greater risk for preterm birth, and their newborns are more likely to have RDS, NICU admissions, and immediate newborn complications.

Postpartum smoking relapse and secondhand smoke.

Objective. There has been an abundance of research evaluating prenatal and postnatal smoking abstinence programs. However, few researchers have tested postpartum relapse interventions that address secondhand smoke (SHS) exposure. Pregnant women exposed to SHS are more likely to relapse. This article explores the similarities and differences among postpartum interventions that incorporate SHS education. Generating knowledge about the components of postpartum relapse prevention interventions that do and do not achieve prolongation of abstinence is integral to the development of effective SHS interventions that help women achieve lifelong abstinence. Methods. We used a methodological review of 11 randomized, controlled trials testing the efficacy of relapse prevention interventions that address SHS exposure. We compared intervention strength, biomarker validation of home smoking and SHS, as well as abstinence and relapse rates. We examined three predictors of postpartum relapse: (1) partner smoking in the home, (2) adoption of home smoking restrictions, and (3) motivation/confidence to remain abstinent. Results. Findings revealed a need for more comprehensive SHS interventions and a clear delineation of abstinence/relapse terminology. Biomarker validation of home smoking and SHS was primarily measured by self-report, passive nicotine monitors, and hair nicotine levels. Furthermore, studies using nurse- and pediatrician-led interventions resulted in the lowest relapse rates. Conclusion. A comprehensive intervention that specifically prioritizes parental education on the health effects of SHS on the family, empowerment of the mother and family members to remain abstinent and adopt a smoke-free home smoking policy, and partner influence on smoking could result in a significant reduction in postpartum relapse rates.

Perceptions of Electronic Cigarettes Among Medicaid-Eligible Pregnant and Postpartum Women

OBJECTIVE To describe perceptions and beliefs about electronic cigarette (e-cigarette) use during pregnancy among pregnant and newly postpartum women. DESIGN An exploratory, qualitative descriptive study. SETTING University-affiliated prenatal clinics. PARTICIPANTS Twelve pregnant or recently postpartum women who reported use of tobacco and electronic cigarettes. METHODS Semistructured focus groups were audio recorded and professionally transcribed. The transcripts were coded to consensus and analyzed with MAXQDA software (version 11) using content analysis. RESULTS Four overarching themes emerged: (a) Attraction to E-Cigarettes as a Harm Reduction Strategy, (b) Uncertainty Regarding the Health Effects of E-Cigarettes; (c) Ambivalence Regarding Novel Product Characteristics; and (d) Behaviors Reflected Dual Use and Often Complete Relapse to Traditional Cigarettes. CONCLUSION Pregnant women are initially attracted to e-cigarettes as a harm reduction strategy, but they often return to traditional cigarettes in the postpartum period. Nurses should counsel pregnant women on the adverse effects of fetal exposure to nicotine. Evidence-based nursing interventions are needed to prevent relapse during the postpartum period.

e-Cigarette Use and Perceived Harm Among Women of Childbearing Age Who Reported Tobacco Use During the Past Year

BackgroundThe prevalence of electronic cigarette use grows. Amid increased e-cigarette use nationwide, this paper attempts to identify underlying risk factors for the most vulnerable populations. ObjectiveThe purpose of the study was to assess predictors of e-cigarette use among female current and former tobacco users of childbearing age—specifically to determine whether demographic factors, pregnancy status, conventional cigarette smoking, and perceived e-cigarette harm are associated with e-cigarette use. Reasons for using e-cigarettes were also measured. MethodsA cross-sectional, correlational design was used; 194 current and former female tobacco users, 18–45 years of age, from two university-affiliated prenatal clinics and one women’s health clinic in Kentucky took part. Slightly more than half were pregnant. Age, race/ethnicity, education, pregnancy status, use history for cigarettes and e-cigarettes, and perception of health hazard from e-cigarettes were measured, and associations with e-cigarette use were made with Mann–Whitney U-tests or Spearman’s rank correlations. Predictors of e-cigarette use were determined using proportional odds modeling. ResultsMost current e-cigarette users were also current cigarette smokers (88%). Nearly half of current and former e-cigarette users were pregnant. Most women perceived e-cigarettes as a minor (38%) or moderate (31%) health hazard. In the proportional odds model, younger women were at greater risk for e-cigarette use, whereas minority women and those who were pregnant were less likely to be e-cigarette users. DiscussionPregnant women were less likely to be more recent e-cigarette users, compared with nonpregnant women. However, nearly all current e-cigarette users were dual tobacco users, including pregnant women. It is both imperative and timely to determine the impact of e-cigarette use on maternal and infant health, thus improving healthcare provider confidence to discuss the health implications of e-cigarette use with their patients.

Smoking Among Pregnant Women in Outpatient Treatment for Opioid Dependence: A Qualitative Inquiry

INTRODUCTION Smoking during pregnancy is a major public health issue, contributing to adverse health outcomes. The vast majority of women with substance use disorders smoke during the perinatal period. Medication Assisted Treatment (MAT) is the standard of care for women using opioids during pregnancy. The majority of women engaged in MAT (88%-95%) report smoking. The purposes of this study were to describe: (1) facilitators and barriers to engaging in tobacco treatment among pregnant, opioid dependent women receiving MAT; and (2) strategies to tailor tobacco treatment interventions with this population. METHODS Two semi-structured focus groups lasting approximately 45 minutes each were conducted with 22 women engaged in MAT. Focus groups were recorded, transcribed and analyzed in MAXQDA using content analysis. RESULTS Participants reported: (1) desire to quit smoking for themselves and their children; (2) aversion to smoking; (3) a turning point in their lives from being pregnant and entering MAT; (4) nicotine dependence; (5) smoking as a way to cope with stress; (6) coping with dual dependencies; (7) past experiences with stopping smoking due to smoking restrictions; (8) perceived lack of success with nicotine replacement therapy or other tobacco treatment medications; and (9) the need for intensive environmental support for quit attempts. CONCLUSIONS Participants were motivated to quit smoking, but faced multiple complex barriers. Integrating tobacco treatment into the psychosocial services offered in conjunction with MAT would allow a healthcare provider to offer tailored tobacco treatment in a supportive environment. IMPLICATIONS Results of this qualitative study include facilitators and barriers to engaging in tobacco treatment among pregnant, opioid dependent women receiving MAT, as well as strategies to tailor tobacco treatment interventions for this population. In-depth knowledge of the complex barriers facing this patient population can be used to inform tailored tobacco treatment services that can be integrated into clinics providing MAT.

Smoke-free homes, strength of smoke-free law, and children in the home.

INTRODUCTION Secondhand smoke (SHS) is a leading cause of childhood illness and premature death, especially in rural areas. The study examined the relationship of having a smoke-free home, strength of smoke-free law (SFL) in the county of residence, having one or more minor children in the home, rural/urban location, and demographics. METHODS An Internet-based panel survey was administered to Kentucky residents from 2007 to 2012. Sample size ranged from 400 to 513 per year; N = 2,653 total. Most were female, aged 35-54, had at least some college education, and lived in a smoke-free home. Almost half lived in a county with a comprehensive SFL; 14% lived in a county with a moderate or weak law. RESULTS Multivariate logistic regression revealed that the significant predictors of a smoke-free home included having education beyond high school, being a nonsmoker, living in an urban county, and having a year of participation in the survey. Controlling for smoking status and other personal characteristics, those who responded to the survey in the last 2 years of administration were more likely to have a smoke-free home compared to the reference year of 2007. Respondents living in urban counties were nearly 2 times more likely to report a smoke-free home than rural dwellers. CONCLUSIONS Smoke-free homes in urban areas, where SFLs may be the norm, may be more typical than in rural communities. Public awareness campaigns and education about the benefits of smoke-free homes is needed, especially in rural areas, targeting smokers, those with less education, and those with children living in the home.

Postpartum Smoking Abstinence and Smoke-Free Environments

The purpose of this exploratory study was to describe factors that contribute to successful postpartum smoking abstinence among women who quit smoking during pregnancy. Research questions addressed the primary motivators and lifestyle characteristics of women who do not return to postpartum smoking. Participants were recruited from a feasibility study (N = 16) based on their ability to remain smoke free for at least 6 months following delivery. Individual interviews were analyzed using content analysis strategies. Women’s narratives described the process of postpartum smoking abstinence. Four themes emerged: (a) child’s health as the primary motivator, (b) demanding a smoke-free home or environment, (c) smoking perception changes from one of primarily comfort to one of disgust, and (d) viewing abstinence as a lifelong change. Clinical implications include educating families about the effects of smoke-free environments on the health of their children while redirecting smoking habits with healthy behaviors.

Nursing research in community-based approaches to reduce exposure to secondhand smoke.

Secondhand smoke (SHS) is the third leading cause of preventable death in the United States and a major source of indoor air pollution, accounting for an estimated 53,000 deaths per year among nonsmokers. Secondhand smoke exposure varies by gender, race/ethnicity, and socioeconomic status. The most effective public health intervention to reduce SHS exposure is to implement and enforce smoke-free workplace policies that protect entire populations including all workers regardless of occupation, race/ethnicity, gender, age, and socioeconomic status. This chapter summarizes community and population-based nursing research to reduce SHS exposure. Most of the nursing research in this area has been policy outcome studies, documenting improvement in indoor air quality, worker’s health, public opinion, and reduction in Emergency Department visits for asthma, acute myocardial infarction among women, and adult smoking prevalence. These findings suggest a differential health effect by strength of law. Further, smoke-free laws do not harm business or employee turnover, nor are revenues from charitable gaming affected. Additionally, smoke-free laws may eventually have a positive effect on cessation among adults. There is emerging nursing science exploring the link between SHS exposure to nicotine and tobacco dependence, suggesting one reason that SHS reduction is a quit smoking strategy. Other nursing research studies address community readiness for smoke-free policy, and examine factors that build capacity for smoke-free policy. Emerging trends in the field include tobacco free health care and college campuses. A growing body of nursing research provides an excellent opportunity to conduct and participate in community and population-based research to reduce SHS exposure for both vulnerable populations and society at large.

Perceptions and use of electronic cigarettes in pregnancy

Use of electronic cigarettes (e-cigs) is quickly growing in the United States, despite the unknown health implications and unregulated device contents. Although research is emerging around e-cigs in general, there continues to be a lack of scientific evidence regarding the safety and risks of e-cig use on maternal and fetal health, even though adverse health effects of nicotine on maternal and fetal outcomes are documented. This review summarizes existing perceptions of e-cig use in pregnancy, based on the limited number of publications available, and highlights the necessity of conducting additional research in this field of public health. Authors conducted a literature search of scientific peer-reviewed articles published from January 2006 to October 2016, comprising more than a decade of research. Search keywords include ‘tobacco use’, ‘electronic cigarette(s)’ and ‘pregnancy’. Fifty-seven publications were identified, narrowed to fifteen by screening title/abstract for potential relevance, with seven articles chosen for final inclusion. Of these seven studies, most participants not only believed e-cigs pose risks to maternal and child health but also perceived e-cigs as a safer and potentially healthier alternative to traditional cigarettes, and may assist with smoking cessation. Further research is needed to determine health implications and provide clinical guidelines for e-cig use in pregnancy.

Ethnicity, Smoking Status, and Preterm Birth as Predictors of Maternal Locus of Control

A woman’s psychological health can affect prenatal behaviors. The purpose of this study was to examine the relationship between maternal beliefs, prenatal behaviors, and preterm birth (PTB) in a multiethnic population. This was a planned secondary analysis of a cross-sectional trial of postpartum women with singleton gestation. In all, 210 participants were given the Fetal Health Locus of Control (FHLC) scale to measure three primary maternal beliefs that influenced their prenatal behaviors (Internal Control, Chance, Powerful Others). Women who experienced preterm delivery and those who smoked during pregnancy scored the Chance category significantly higher than those who delivered term infants (p = .05; p = .004, respectively). This suggests those who smoked during pregnancy had a greater degree of belief that Chance influenced their infant’s health status. Cultural differences also emerged specific to the impact of health care providers on PTB; with Hispanic women scoring Powerful Others the highest among the groups (p = .02). Nurses can plan a critical role in identifying at-risk women (smoking, strong Chance beliefs) while providing a clear message that taking action and modifying high-risk behaviors can reduce risk for adverse pregnancy outcome.