Predictors of Quitting Dual Use of Electronic Cigarettes and Cigarettes During Pregnancy.

Background and Aims: There is limited research surrounding dual maternal use of cigarettes and electronic cigarettes (e-cigarettes). We aimed to assess predictors of maternal quitting of cigarettes, e-cigarettes, and both during late pregnancy. Materials and Methods: We analyzed dual use (n = 4,006) and exclusive e-cigarette use (n = 1,685) among mothers using data from the 2016 to 2019 phase of the Pregnancy Risk Assessment Monitoring Systems (PRAMS), a nationally representative sample of the United States. Dual use and exclusive e-cigarette use were defined based on use reported during the 3 months before pregnancy and quitting was assessed during the last 3 months of pregnancy. Multinomial and binomial logistic regression models estimated the odds ratios and 95% confidence intervals for predictors of quitting status among mothers who reported dual use and exclusive e-cigarette use, respectively. Separate predictor analyses were conducted in the dual and exclusive e-cigarette use groups to see predictors of quitting e-cigarettes, cigarettes, or both. Results: The highest proportion of mothers who used cigarettes and e-cigarettes before pregnancy quit both during late pregnancy (46.2%), followed by those who quit e-cigarette use only (26.5%) and those who quit cigarette use only (6.6%). Among mothers who reported dual use, those who were African American or Asian, of Hispanic ethnicity, consumed alcohol before pregnancy, had higher education, were married, had diabetes, had higher annual household income, had nongovernmental health insurance, had more prenatal care visits, had a higher frequency of e-cigarette use before pregnancy, had a lower frequency of cigarette use before pregnancy, and smoked hookah around pregnancy had a higher likelihood of quitting both cigarette and e-cigarette use during late pregnancy. Conclusions: Quitting use of cigarettes and/or e-cigarettes was fairly common among mothers who reported dual use or e-cigarette use only. Sociodemographics, pregnancy characteristics, and use of other tobacco products predicted quitting use of both cigarettes and e-cigarettes during late pregnancy.

Use of E-Cigarettes and Cigarettes During Late Pregnancy Among Adolescents.

Importance: Pregnant adolescents sometimes use cigarettes; however, little is known about e-cigarette use among pregnant adolescents, a population with increased health vulnerability. Objective: To examine yearly trends, sociodemographic and pregnancy-related determinants, and the association with small-for-gestational-age (SGA) birth of e-cigarette and/or cigarette use during late pregnancy among adolescents. Design, Setting, and Participants: This cohort study used existing data from the 2016-2021 Pregnancy Risk Assessment Monitoring System on 10 428 US adolescents aged 10 to 19 years who had a singleton birth with complete data on e-cigarette or cigarette use and SGA birth. Exposure: Adolescents reported e-cigarette and cigarette use during the last 3 months of pregnancy. Main Outcomes and Measures: SGA birth (birth weight below the 10th percentile for the same sex and gestational duration) was determined from birth certificates. Multivariable logistic regression was used to compare the odds of SGA birth across pregnant adolescents who exclusively used e-cigarettes, exclusively used cigarettes, used e-cigarettes and cigarettes, or did not use either. Results: Of the 10 428 pregnant adolescents, 72.7% were aged 18 or 19 years; 58.9% self-identified as White and 23.3% as Black; and 69.8% were non-Hispanic. The weighted prevalence of exclusive e-cigarette use during late pregnancy increased from 0.8% in 2016 to 4.1% in 2021, while the prevalence of exclusive cigarette use decreased from 9.2% in 2017 to 3.2% in 2021. The prevalence of dual use fluctuated, ranging from 0.6% to 1.6%. White pregnant adolescents were more likely than those who self-identified as another race and ethnicity to use e-cigarettes (2.7% vs 1.0% for American Indian or Alaska Native adolescents, 0.8% for Asian or other race adolescents, 0.6% for Black adolescents, and 0.7% for multiracial adolescents). Compared with those who did not use either product, adolescents who exclusively used e-cigarettes (16.8% vs 12.9%; confounder-adjusted odds ratio [AOR], 1.68 [95% CI, 0.89-3.18]) or who used cigarettes and e-cigarettes (17.6% vs 12.9%; AOR, 1.68 [95% CI, 0.79-3.53]) had no statistically significant difference in risk of SGA birth. However, adolescents who exclusively used cigarettes had a more than 2-fold higher risk of SGA birth (24.6% vs 12.9%; AOR, 2.51 [95% CI, 1.79-3.52]). Conclusions and Relevance: This cohort study suggests that pregnant adolescents increasingly used e-cigarettes, with the highest use among White adolescents. Results from this analysis found that, unlike cigarette use, e-cigarette use during late pregnancy was not statistically significantly associated with an increased risk of SGA birth among adolescents. Due to the uncertainty of this nonsignificant association, future research could benefit from a larger sample size.

Cigarette Smoking Abstinence Among Pregnant Individuals Using E-Cigarettes or Nicotine Replacement Therapy.

Importance: Smoking cigarettes during pregnancy can impair maternal and child health, and pregnant individuals have increasingly used electronic cigarettes (e-cigarettes) for various reasons, including quitting smoking. Objective: To assess smoking abstinence rates among pregnant individuals who used e-cigarettes compared with those who used nicotine replacement therapy (NRT). Design, Setting, and Participants: This cohort study is a secondary data analysis of phase 8 of the US Pregnancy Risk Assessment Monitoring System, conducted between 2016 and 2020. Eligible participants included pregnant individuals who smoked combustible cigarettes within the 3 months before pregnancy and either used e-cigarettes or NRT during pregnancy. Data analysis was conducted from March 2022 to April 2023. Exposures: Combustible cigarette use within 3 months before pregnancy and use of either e-cigarettes or NRT during pregnancy. Main Outcomes and Measures: The primary outcome was the individual's self-reported smoking abstinence status during the last 3 months of pregnancy. Weighted percentages were reported and weighted multivariable logistic regression models were used to examine the association of e-cigarette use vs NRT with smoking abstinence. A propensity score was used to control for confounding by sociodemographics, pregnancy characteristics, prepregnancy smoking intensity, depression, behavioral support, and hookah use. Results: The cohort included 1329 pregnant individuals (759 ≥25 years [60.2%]; 766 non-Hispanic White individuals [79.8%]) of whom 781 had an education level of high school or lower (61.4%), and 952 had an annual household income of $48 000 or less (81.5%). Of the 1329 individuals, 890 (unweighted percentage, 67.0%) were existing e-cigarette users, 67 (unweighted percentage, 5.0%) were new e-cigarette users, and 372 (unweighted percentage, 28.0%) were NRT users. Compared with individuals who used NRT during pregnancy, individuals who used e-cigarettes had a higher rate of smoking abstinence in late pregnancy (456 individuals [50.8%] vs 67 individuals [19.4%]; propensity score adjusted odds ratio [OR], 2.47; 95% CI, 1.17-5.20; P = .02). In the secondary analysis stratified by the timing of e-cigarette use initiation, existing users of e-cigarettes who initiated before pregnancy had a higher smoking abstinence rate than NRT users (446 users [53.1%] vs 67 users [19.4%]; adjusted OR, 2.61; 95% CI, 1.23-5.51; P = .01). However, new e-cigarette users who initiated use during pregnancy had a similar smoking abstinence rate in late pregnancy when compared with NRT users (10 users [20.6%] vs 67 users [19.4%]; adjusted OR, 1.13; 95% CI, 0.22-5.87; P = .88). Conclusions and Relevance: These findings suggest that individuals who used e-cigarettes during pregnancy had a higher smoking abstinence rate in late pregnancy than individuals who used NRT, especially for those who initiated e-cigarette use before pregnancy, indicating that replacement of cigarettes with e-cigarettes during pregnancy may be a viable strategy for harm reduction.

Partner-Support and Gestational Duration Among Pregnant Women Who Smoke.

INTRODUCTION: Pregnant women who smoke are at a high risk of preterm birth (PTB) and have low partner-support. In a prospective cohort study, we aimed to examine the role of partner-support in gestational duration and PTB among pregnant women who smoke as well as the interaction with race/ethnicity. METHODS: We analyzed secondary data of 53 participants from the University at Buffalo Pregnancy and Smoking Cessation Study. Partner-support was measured with Turner's support scale where women reported how much they agreed with five statements about how supportive their partner was. Total partner-support was calculated and split into emotional support and accountability. We fit multivariable linear regression models and log-binomial regression models for gestational duration and PTB, respectively. RESULTS: Gestational duration significantly increased with partner-support (0.22 weeks longer per unit increment in partner-support score), emotional support (0.52 weeks), and accountability (0.35 weeks). This association tended to be stronger among Hispanics and women of other races than non-Hispanic Caucasians and African Americans. Women with a bed partner had 1.48 weeks longer gestational duration than women without a bed partner. DISCUSSION: Partner-support may increase gestational duration and reduce PTB risk among pregnant women who smoke, especially among Hispanic women. Sharing a bed with a partner was associated with a longer gestational duration. Our findings may be interpreted with caution due to limitations such as small sample size, recruitment within a single metropolitan area, and partner-support measurement via maternal reports only. A partner-support intervention to increase gestational duration is warranted.

Partner-support might help increase gestational duration and possibly reduce risk of preterm birth, and future research is needed to replicate our findings in larger samples. Pregnant women who smoke are at a high risk for short gestational duration and preterm birth (PTB) and have low partner-support. Previous research did not address the potential racial/ethnic differences in the influence of partner-support on PTB. We found partner-support might increase gestational duration and possibly reduce PTB risk among pregnant women who smoke. The association between partner-support and gestational duration tended to be stronger among Hispanics and women of other races than Non-Hispanic Caucasians and African Americans.

Association between maternal e-cigarette use during pregnancy and low gestational weight gain.

OBJECTIVE: To evaluate the risk of low gestational weight gain (GWG) in women who use electronic cigarettes (e-cigarettes), combustible cigarettes, or both e-cigarettes and combustible cigarettes (dual use) during pregnancy. METHODS: We conducted a secondary analysis of the data from 176 882 singleton pregnancies in the 2016-2020 US Pregnancy Risk Assessment Monitoring System (PRAMS). Postpartum women self-reported their use of e-cigarettes and/or cigarettes during the last 3 months of pregnancy. Low GWG was defined as the total GWG less than 12.7 kg, less than 11.3 kg, less than 6.8 kg, and less than 5.0 kg (<28, <25, <15, and < 11 lb) for women with underweight, normal weight, overweight, and obesity, respectively. We used multivariable logistic regression to estimate the odds ratios (ORs) of low GWG, adjusting for confounders. RESULTS: In this national sample, 921 (weighted percentage, 0.5%) of women were e-cigarette users and 1308 (0.7%) were dual users during late pregnancy. Compared with non-users during late pregnancy (40 090, 22.1%), cigarette users (4499, 28.0%) and dual users (427, 26.0%) had a higher risk of low GWG, but e-cigarette users had a similar risk (237, 22.1%). Adjustment for sociodemographic and pregnancy confounders moderately attenuated these associations: confounder-adjusted ORs 1.26 (95% confidence interval [CI] 1.18-1.35) for cigarette users, 1.18 (95% CI 0.96-1.44) for dual users, and 0.99 (95% CI 0.78-1.27) for e-cigarette users. CONCLUSIONS: Unlike combustible cigarette use, e-cigarette use during late pregnancy does not appear to be a risk factor for low GWG.

E-cigarette use during pregnancy and its association with adverse birth outcomes in the US.

The popularity of e-cigarette use among young adults is a growing concern. However, little is known about factors associated with e-cigarette use in pregnant women and birth outcomes. In this retrospective cohort study, we evaluated the influence of several factors on behavioral changes in e-cigarette use before and during pregnancy, and assessed the association between e-cigarette use and subsequent birth outcomes among pregnant women. The Population Assessment of Tobacco and Health (PATH) study, a government-sponsored national longitudinal study based in the US, Waves 1 through 4 (2013-2018) were used. Multivariate logistic regressions were conducted to estimate behavioral changes in e-cigarette use during pregnancy and subsequent influence on high-risk birth (e.g., preterm birth, low birth weight, birth defects, etc.) and fetal death. Although pregnant women who quit vaping before pregnancy (OR = 1.14, 95% CI 0.54-2.40) or had any use during pregnancy (OR = 1.19, 95% CI 0.38-3.73) showed non-differential risk of having a high-risk birth in comparison to women who did not initiate vaping, we observed that the usage of mint/menthol flavor was correlated with higher risk of fetus death (OR = 3.27, 95% CI 1.17-9.19). Healthcare providers should encourage e-cigarette users to quit prior to and during early pregnancy.

Meta-Analysis on Associations of Timing of Maternal Smoking Cessation Before and During Pregnancy With Childhood Overweight and Obesity.

INTRODUCTION: There is a lack of comprehensive review on associations of maternal smoking cessation (versus nonsmokers) with childhood overweight and obesity. AIMS AND METHODS: We conducted a systematic review and meta-analysis of existing evidence in this field. Within PubMed, EMBASE, and CENTRAL databases, we identified and screened 1147 abstracts. We reviewed full-texts and extracted related information from 10 eligible articles. We pooled odds ratios for overweight/obesity and mean differences in BMI z-scores by maternal smoking status around pregnancy. RESULTS: Among 10 eligible studies, 71 393 children were included from ages 2 to 18 years. Compared to children of nonsmokers, the pooled unadjusted odds ratio (OR) for overweight was 1.36 (95% Confidence Interval CI: 1.14, 1.62) in children of quitters and 1.44 (1.27, 1.64) in children of continued smokers. The pooled unadjusted OR for obesity was 1.65 (1.17, 2.32) in children of quitters and 1.94 (1.38, 2.73) in children of continued smokers. The pooled unadjusted mean difference in BMI z-score was 0.51 (0.41, 0.61) in children of quitters and 0.64 (0.58, 0.70) in children of continued smokers. The pooled unadjusted OR for overweight in children of mothers quitting before pregnancy was 1.46 (1.15, 1.85), during the first trimester was 1.52 (1.27, 1.82), and during pregnancy (mixed timing, mostly first trimester) was 0.97 (0.79, 1.20). CONCLUSION: The risk of offspring overweight and obesity was moderately higher for quitters during pregnancy compared to nonsmokers, although it might not be as high as continued smokers. IMPLICATIONS: Maternal smoking during pregnancy is an established risk factor of childhood overweight and obesity. Based on our systematic review, intervention to help mothers quit smoking has the potential to reduce the risk of childhood overweight and obesity in offspring related to prenatal tobacco exposure. Quitting before pregnancy is ideal, but quitting in early pregnancy is still helpful for reducing risk.

Involuntary tobacco smoke exposures from conception to 18 years increase midlife cardiometabolic disease risk: a 40-year longitudinal study.

Few population studies have sufficient follow-up period to examine early-life exposures with later life diseases. A critical question is whether involuntary exposure to tobacco smoke from conception to adulthood increases the risk of cardiometabolic diseases (CMD) in midlife. In the Collaborative Perinatal Project, serum-validated maternal smoking during pregnancy (MSP) was assessed in the 1960s. At a mean age of 39 years, 1623 offspring were followed-up for the age at first physician-diagnoses of any CMDs, including diabetes, heart disease, hypertension, or hyperlipidemia. Detailed information on their exposure to environmental tobacco smoke (ETS) in childhood and adolescence was collected with a validated questionnaire. Cox regression was used to examine associations of in utero exposure to MSP and exposure to ETS from birth to 18 years with lifetime incidence of CMD, adjusting for potential confounders. We calculated midlife cumulative incidences of hyperlipidemia (25.2%), hypertension (14.9%), diabetes (3.9%), and heart disease (1.5%). Lifetime risk of hypertension increased by the 2nd -trimester exposure to MSP (adjusted hazard ratio: 1.29, 95% confidence interval: 1.01-1.65), ETS in childhood (1.11, 0.99-1.23) and adolescence (1.22, 1.04-1.44). Lifetime risk of diabetes increased by joint exposures to MSP and ETS in childhood (1.23, 1.01-1.50) or adolescence (1.47, 1.02-2.10). These associations were stronger in males than females, in never-daily smokers than lifetime ever smokers. In conclusion, early-life involuntary exposure to tobacco smoke increases midlife risk of hypertension and diabetes in midlife.

Potentially modifiable mediators for socioeconomic disparities in childhood obesity in the United States.

OBJECTIVE: The aim of this study was to examine modifiable mediators for socioeconomic disparities in childhood obesity in the United States. METHODS: This study used the data of 1,211 mother-child dyads from a US national birth cohort from pregnancy to 6 years post partum. Socioeconomic status was indicated by maternal education (college graduate vs. less) and family income (>185% vs. ≤185% of the poverty line). Single- and multiple-factor mediation analyses were conducted for socioeconomic disparities in childhood obesity at 6 years, adjusting for demographics. RESULTS: The confounder-adjusted relative risk of childhood obesity was 1.79 for low maternal education and 1.42 for low family income. Low-maternal-education-related obesity was individually mediated by maternal preconception BMI (percentage of indirect effect, 8.8%), smoking during pregnancy (7.0%), infant weight gain (14.4%), child sleep duration (11.4%), and TV viewing during weekdays at 6 years (4.9%). Low-family-income-related obesity was mediated by maternal preconception BMI (18.5%), smoking during pregnancy (6.3%), child sleep duration (12.8%), and the home learning environment at 6 years (26.2%). In multiple-mediator analysis, significant mediators together mediated 54.0% of maternal-education-related or 39.4% of family-income-related disparities. CONCLUSIONS: Maternal preconception BMI, smoking during pregnancy, infant weight gain, child sleep, TV viewing, and the home learning environment substantially mediated socioeconomic disparities in childhood obesity in the United States.

Personal exposure to benzene, toluene, ethylbenzene, and xylenes (BTEXs) mixture and telomere length: a cross-sectional study of the general US adult population.

BACKGROUND: Benzene, Toluene, Ethylbenzene, and Xylenes (BTEXs) are a group of aromatic air pollutants from fossil fuels. There is no research on associations of the BTEXs mixture with telomere length (TL), a marker of cellular aging, in the general population. METHODS: We analyzed a subsample of 549 US adults aged 20-59 years from the National Health and Nutrition Examination Survey 1999-2000. BTEXs samples were collected by passive exposure badges worn by participants for 48-72 h. Levels of BTEXs were measured with gas chromatography/mass spectrometry. Leukocyte TL was measured with qPCR. We used Bayesian Kernel Machine Regression (BKMR) to examine the effect of the BTEXs mixture on TL adjusting for potential confounders. Analyses were stratified by tobacco smoking status (serum cotinine≥10 ng/mL vs. <10 ng/mL). RESULTS: Levels of personal exposure to BTEXs were detectable in most participants and were relatively higher in the 150 smokers than in the 399 nonsmokers. The BTEXs were moderately or strongly intercorrelated (0.5 < r ≤ 0.9, P < 0.05). All chemicals had weak, inverse correlations with TL (-0.1 0.05). In BKMR models among the nonsmokers, the BTEXs mixture was significantly inversely associated with TL at a low range of the BTEXs (20th-65th percentile) but was not associated with TL at a higher range (>65th percentile). Also, we found a U-shape association of benzene and a positive association of ethylbenzene with TL independent of other BTEXs. Among smokers, neither the BTEXs mixture nor any individual BTEXs were significantly associated with TL. CONCLUSION: Within a low-to-middle range, exposure to the BTEXs mixture may be associated with shorter telomere length in the general nonsmoking population.

Behavioral parenting skills as a novel target for improving medication adherence in young children: Feasibility and acceptability of the CareMeds intervention.

In pediatric cancer care, medication non-adherence is a significant driver of avoidable suffering and death. There is a lack of interventions designed for families of young children, where patient medication refusal/avoidance is a common barrier to adherence. We developed the CareMeds intervention which focuses on caregiver skills training to help young children take medicine calmly and without use of restraint techniques. The goal of this preliminary study was to assess the acceptability and feasibility of the CareMeds intervention. Caregivers of pediatric cancer patients (ages 2-10) whose children were on a home-based oral medication regimen were recruited to participate. Feasibility was examined through study enrollment and retention rates as well as reasons for refusal and drop out. Acceptability was evaluated through usability of and engagement with intervention components and an acceptability questionnaire. Feasibility: We recruited N = 9 caregivers to participate in this intervention pilot study and had a 75% enrollment rate. Reasons for declining included scheduling concerns (n = 2) and lack of interest (n = 1). The participant retention rate was 100% with 100% adherence to intervention sessions. Acceptability: Parents rated the sessions and resource materials as acceptable and reported frequent use of skills taught in the intervention. The CareMeds intervention is an acceptable and feasible strategy for caregivers of pediatric cancer patients and warrants future research to examine the efficacy of behavioral parenting skills interventions to improve medication adherence in young children.

Smoking status and maternal weight trajectories during pregnancy and postpartum: Preliminary results from a pilot study.

OBJECTIVE: To preliminarily examine throughout pregnancy and 12 months postpartum: 1) the critical timings of abnormal gestational weight gain (GWG) among quitters and non-quitters; 2) the consequences of abnormal GWG on weight retention during postpartum; 3) the potential difference in GWG by timing of quitting (early vs. late). METHODS: We included 59 pregnant smokers (49 quitters and 10 non-quitters) from two clinical pilot studies. Smoking status and weight were repeatedly measured throughout pregnancy and postpartum. Weight trajectories were analyzed using mixed models with smoking cessation status, pregnancy week or postpartum month, their interaction term, and potential confounders. RESULTS: At enrollment, mothers had a mean BMI of 28.7 (SD, 7.2) and mean age of 30.1 years (SD, 5.8). Both groups had a linear increase in GWG, but quitters had a much higher rate of GWG (0.87 vs. 0.22 pounds/week) than non-quitters throughout pregnancy. Before delivery, 63.3% of quitters and 20.0% of non-quitters had excessive total GWG, while 12.2% of quitters and 60.0% of non-quitters had inadequate total GWG (p-value=0.004). Early quitters (<21 weeks) had a higher risk of excessive GWG (85.0%) than late quitters (≥21 weeks, 36.4%) (p-value=0.026). After delivery, quitters' weight remained stable following a rapid weight loss, whereas non-quitters' weight increased continuously. CONCLUSIONS: Non-quitters have a high risk of inadequate GWG, while quitters, especially early quitters, have a high risk of excessive GWG. The group difference in weight trajectories lasted from conception to postpartum.

Reciprocal Associations Between Maternal Smoking Cessation and Breastfeeding.

Background: Pregnancy is a motivating factor to quit smoking, but many women relapse postpartum. The underlying mechanisms and the necessary duration of breastfeeding that provide long-term protection against postpartum smoking relapse are unknown. Aims: We aimed to examine (1) associations of smoking cessation with breastfeeding initiation and duration; (2) necessary breastfeeding duration to reduce or prevent risk of postpartum smoking relapse. Methods: In this cohort study, we recruited 55 mothers, either smoking or have quit smoking, who recently delivered their baby from the Greater Buffalo area, NY, USA. Results: Quitters had a higher breastfeeding initiation rate (73.7% versus 30.8%; p = 0.029) and breastfed longer (p < 0.024) than nonquitters. Mothers who never breastfed relapsed quicker than mothers who did (p = 0.039). There was a 28% reduction in smoking relapse at 12 months postpartum for every month longer of breastfeeding duration (confounder-adjusted hazard ratio, 0.72 [95% confidence interval, 0.55-0.94]; p = 0.014). The estimated smoking relapse risk was 60.0% for nonbreastfeeding, 22.4% for 3 months of breastfeeding, 8.4% for 6 months of breastfeeding, and 1.2% for 12 months of breastfeeding. Conclusion: Smoking cessation was associated with increased breastfeeding initiation and duration. Smoking relapse risk decreased with longer breastfeeding duration, and 12 months of breastfeeding may help to prevent smoking relapse. An integrated intervention of maternal smoking cessation and breastfeeding promotion is promising to enhance both behaviors.

Sleep quality and health among pregnant smokers.

STUDY OBJECTIVES: We aimed to examine (1) sleep quality trends of pregnant smokers and (2) their associations with health outcomes. METHODS: A secondary analysis of 88 participants from the University at Buffalo Pregnancy and Smoking Cessation Study (nonrandomized clinical study) was performed. Sleep quality was measured with the Pittsburgh Sleep Quality Index (higher scores, worse quality) and sleep duration was self-reported repeatedly during pregnancy at preintervention, postintervention, and end-of-pregnancy visits. Participants were divided into 3 groups (until preintervention, until postintervention, until end-of-pregnancy). Maternal outcomes included gestational weight gain and smoking cessation. Infant outcomes included birth weight, gestational age, and Apgar score. RESULTS: There was a significant increase (P = .046) in Pittsburgh Sleep Quality Index score from postintervention (mean, 5.5 [standard deviation (SD), 2.6]) to end of pregnancy (6.6 [SD, 2.8]). Mean gestational weight gain was significantly lower for participants with poor sleep quality than those with good sleep quality (19.0 kg [SD, 21.3] vs 36.1 kg [SD, 22.8]; P = .008). Newborns with poor maternal sleep quality had a significantly lower mean 5-minute Apgar score (8.1 [SD, 1.3] vs 9.0 [SD, 0.0]; P = .021) than newborns with good maternal sleep quality. Preintervention sleep quality was not associated with smoking cessation, birth weight, or gestational age. Smoking cessation was almost half as prevalent in participants with insufficient sleep (< 7 hours/night) vs sufficient sleep duration (47.4% vs 92.3%, P = .011). CONCLUSIONS: Sleep quality worsened toward the end of pregnancy among smokers. Poor sleep might negatively influence gestational weight gain and Apgar score. Insufficient preintervention sleep might negatively influence smoking cessation. CITATION: Danilov M, Issany A, Mercado P, Haghdel A, Muzayad JK, Wen X. Sleep quality and health among pregnant smokers. J Clin Sleep Med. 2022;18(5):1343-1353.

Prenatal predictors of postpartum depression trajectories from birth to 24 months amongst smoking women.

AIMS AND OBJECTIVES: We aimed to identify postpartum depression (PPD) trajectories and examine relevant predictors amongst smoking women. BACKGROUND: PPD can adversely affect families. Predictors of PPD trajectories amongst smoking women are understudied. DESIGN: Longitudinal cohort study. METHODS: A cohort of 49 U.S. women (current or ex-smoking) completed the Edinburgh Postnatal Depression Scale from birth to 24 months postpartum. Latent class growth modelling was used to identify PPD trajectories. Predictors of PPD trajectories were identified, adjusting for confounders. Effect modification by prenatal Patient Health Questionnaire (PHQ) depression score was also assessed. STROBE guidelines were followed in reporting results. RESULTS: Three PPD trajectories were identified: non-PPD, transient PPD and chronic PPD. In multinomial logistic regression, social support was associated with lower odds of membership in the chronic PPD trajectory compared to non-PPD trajectory: being married or having a partner sharing resources (odds ratio OR = .14 [.02, .85], p-value = .03), greater partner support (OR = .87 [.77, .98], p-value = .02) and greater family/friends support (OR = .53 [.34, .82], p-value = .004). Transient PPD showed no differences with non-PPD on any predictors. In ordinal logistic regression models, social support was associated with lower odds of membership in a more severe PPD depression trajectory when prenatal PHQ depression score was in the low range (being married or having a partner sharing resources: p for effect modification = .06; partner support: p for effect modification = .05; and family/friends support: p for effect modification = .005). RELEVANCE TO CLINICAL PRACTICE: Compared to the general population, chronic PPD trajectories were more common amongst smoking women. Social support was an important predictor of more severe PPD trajectories, especially when prenatal depression is low. CONCLUSION: Our findings indicated that social support might decrease likelihood of severe PPD trajectories, especially when prenatal depression was low. Relevant predictors of transient PPD remained elusive.

Changes in e-cigarette and cigarette use during pregnancy and their association with small-for-gestational-age birth.

BACKGROUND: Despite increased e-cigarette use, limited research has focused on changes in e-cigarette and combustible cigarette use around pregnancy and the subsequent effects on infant health. OBJECTIVE: This study aimed to characterize changes in e-cigarette and cigarette use from before to during pregnancy and examine their associations with small-for-gestational-age birth. STUDY DESIGN: This was a secondary data analysis of 2016-2018 data of the US Pregnancy Risk Assessment Monitoring System. We analyzed women aged ≥18 years who had a recent live birth (unweighted: n=105,438; weighted: n=5,446,900). Women were grouped on the basis of their self-reported e-cigarette and/or cigarette use 3 months before pregnancy (exclusive e-cigarette users, exclusive cigarette smokers, dual users, and nonusers) and change in e-cigarette and cigarette use during pregnancy (continuing use, quitting, switching, and initiating use). Small-for-gestational-age was defined as a birthweight below the 10th percentile for infants of the same sex and gestational age. We described the distributions of women's sociodemographic and pregnancy characteristics in both weighted and unweighted samples. We used multivariable log-binomial regression models to estimate the relative risks for the associations between changes in e-cigarette and cigarette use during pregnancy and risk of small-for-gestational-age, adjusting for significant covariates. RESULTS: The rates of cessation during pregnancy were the highest among exclusive e-cigarette users (weighted percentage, 80.7% [49,378/61,173]), followed by exclusive cigarette users (54.4% [421,094/773,586]) and dual users (46.4% [69,136/149,152]). Among exclusive e-cigarette users, continued users of e-cigarettes during pregnancy had a higher risk of small-for-gestational-age than nonusers (16.5% [1849/11,206]) vs 8.8% [384,338/4,371,664]; confounder-adjusted relative risk, 1.52 [95% confidence interval, 1.45-1.60]), whereas quitters of e-cigarettes had a similar risk of small-for-gestational-age with nonusers (7.7% [3730/48,587] vs 8.8% [384,338/4,371,664]; relative risk, 0.84 [95% confidence interval, 0.82-0.87]). Among exclusive cigarette users, those who completely switched to e-cigarettes during pregnancy also had a similar risk of small-for-gestational-age with nonusers (7.6% [259/3412] vs 8.8% [384,338/4,371,664]; relative risk, 0.83 [95% confidence interval, 0.73-0.93]). Among dual users before pregnancy, the risk of small-for-gestational-age decreased from 23.2% (7240/31,208) (relative risk, 2.53 [95% confidence interval, 2.47-2.58]) if continuing use to 16.9% (6617/39,142) (relative risk, 1.88 [95% confidence interval, 1.83-1.92]) if only quitting e-cigarettes or 15.1% (1254/8289) (relative risk, 1.61 [95% confidence interval, 1.52-1.70]) if only quitting cigarettes and further to 11.2% (7589/67,880) (relative risk, 1.23 [95% confidence interval, 1.20-1.25]) if both quitting e-cigarettes and cigarettes during pregnancy, compared with nonusers. CONCLUSION: Among exclusive e-cigarette users, quitting e-cigarettes during pregnancy normalized the risk of small-for-gestational-age. Among exclusive cigarette users, quitting smoking or completely switching to e-cigarettes normalized small for gestational age risk. Among dual users, smoking cessation has a greater effect than quitting e-cigarettes only, although discontinuing the use of both may lead to the greatest reduction in the risk of small-for-gestational-age.

Tobacco Treatment Program Models in US Hospitals and Outpatient Centers on Behalf of the SRNT Treatment Network.

Because tobacco use remains one of the leading causes of disease, disability, and mortality, tobacco treatment programs should be integrated into medical systems such as hospitals and outpatient centers. Medical providers have a unique, high-impact opportunity to initiate smoking cessation treatment with patients. However, there are several barriers that may hinder the development and implementation of these programs. The purpose of this review was to address such barriers by illustrating several examples of successful tobacco treatment programs in US health-care systems that were contributed by the authors. This includes describing treatment models, billing procedures, and implementation considerations. Using an illustrative review of vignettes from existing programs, various models are outlined, emphasizing commonalities and unique features, strengths and limitations, resources necessary, and other relevant considerations. In addition, clinical research and dissemination trials from each program are described to provide evidence of feasibility and efficacy from these programs. This overview of example treatment models designed for hospitals and outpatient centers provides guidelines for any emerging tobacco cessation services within these contexts. For existing treatment programs, this review provides additional insight and ideas about improving these programs within their respective medical systems.

A multicomponent behavioral intervention for smoking cessation during pregnancy: a nonconcurrent multiple-baseline design.

Given serious consequences of maternal smoking, we aimed to develop and test a multicomponent behavioral intervention to enhance smoking cessation during pregnancy. In this nonconcurrent, multiple-baseline intervention pilot study, 48 daily smoking pregnant women (mean 13.7 weeks of gestation) were recruited from Buffalo, NY, USA. Upon completion of the repeated baseline smoking monitoring (up to 3 weeks), 30 continuous smokers received a contingent financial incentive-based intervention with three additional components (education and counseling, monitoring and feedback, and family support). After the quit date, participants met with counselors (~1 hr/visit) daily for 2 weeks and twice a week for another 6 weeks. Twenty-one out of 30 participants quit smoking completely (verified by urine cotinine) after receiving the intervention, and the other nine nonquitters decreased smoking substantially. The estimated smoking cessation rate was 70.0% (21/30) at the second week of the intervention, and 63.3% (19/30) at the conclusion of the 8-week intervention assuming the dropouts as smoking. In interrupted time series analysis, the mean daily number of cigarettes smoked among quitters decreased by 6.52, 5.34, and 4.67 among early, delayed, and late intervention groups, respectively. Quitters' mean urine cotinine level maintained stably high before the intervention but decreased rapidly to the nonsmoking range once the intervention was initiated. Most participants (85.7%) reported meeting or exceeding expectations, and 100% would recommend the program to others. This pilot multicomponent intervention was feasible and acceptable to most participants, resulting in a high smoking cessation rate among pregnant smokers who were unlikely to quit spontaneously.

Gene-gene-environment interactions of prenatal exposed to environmental tobacco smoke, CYP1A1 and GSTs polymorphisms on full-term low birth weight: relationship of maternal passive smoking, gene polymorphisms, and FT-LBW.

OBJECTIVE: To examine the interaction effects of prenatal exposed to environmental tobacco smoke (ETS) and genotypes of cytochrome P4501A1 (CYP1A1), glutathione S-transferases (GSTs) on the risk of full-term low birth weight (FT-LBW). STUDY DESIGN: We conducted a case-control study among pregnant women at two Women and Children's Hospitals in Guangdong, China (n = 910). Information was collected through interview, medical records review, and blood lab tests. Maternal selfreport and serum cotinine concentration were combined to define prenatal exposed to ETS. Logistic regression approach was applied for statistical analysis. RESULTS: Our results showed that regardless of genotypes, prenatal exposed to ETS significantly increased the risk of FT-LBW. Then, two-way interactions showed increased prevalence of FT-LBW in prenatal exposed to ETS mothers with the CYP1A1 variant genotype (MspI "CC"), or with GSTT1-null genotype. Furthermore, three-way interactions showed that women with CYP1A1 variant (MspI "TC" or BsrDI "AG") genotypes and GSTT1 "null" genotype had higher risk to give birth of FT-LBW. Additionally, among nonexposed ETS mothers, genotype did not independently confer adverse effects on FT-LBW. CONCLUSIONS: Our results revealed that prenatal exposed to ETS is independently associated with FT-LBW while gene polymorphisms of CYP1A1 and GSTs merely play modified roles in this process. This study extends understanding of three-way interaction, and stresses the need to tobacco control toward pregnant women for better pregnant outcomes.

Reducing fetal origins of childhood obesity through maternal smoking cessation during pregnancy: an intervention study.

Rapid infant weight gain predicts childhood obesity. We aimed to estimate effect size and identify critical timing for intervention-assisted smoking cessation during pregnancy to impact infant weight gain. We followed 25 mother-infant dyads in the UB Pregnancy and Smoking Cessation Study (Buffalo, NY, USA). Maternal smoking status was biochemically verified and monitored through pregnancy. Birth weight and length were extracted from birth records. Research staff measured infant weight and length at 2 weeks and monthly from 1 to 12 months of age. Mixed models were used to fit infant BMI-for-age z-score (ZBMI) trajectories. We found infants of quitters had lower ZBMI gain from birth to 12 months (mean ± SD, 1.13 ± 1.16) than infants of persistent smokers (2.34 ± 1.40; p = 0.035), with Cohen's d effect size being large (0.96). The infant ZBMI gain from birth to 12 months was low (<0.47) if smoking cessation was initiated between 15 and 27 weeks of pregnancy, but started to increase if quitting at 28 weeks (0.65) and accelerated with time (e.g., 3.16 if quitting at 36 weeks). We concluded maternal smoking cessation during pregnancy may reduce fetal origins of obesity through reducing infant weight gain, especially if quitting smoking by 27 weeks of pregnancy.