Household-smoking bans are associated with reduced nicotine exposure, increased smoking abstinence, and improved birth outcomes among pregnant women enrolled in smoking-cessation treatment.

Data indicate household-smoking bans aid cessation and reduce secondhand smoke exposure. This study assessed prevalence of antepartum (AP) and postpartum (PP) household-smoking bans and associations with nicotine exposure, abstinence, and birth weight among pregnant women. The current study is a secondary analysis of clinical trials examining the efficacy of financial incentives for smoking-cessation among pregnant women (N = 284). Participants were current smokers at the start of prenatal care and followed from ∼10 weeks gestational age through 24 weeks PP. Household-smoking rules and biochemically verified urinary cotinine were measured repeatedly. Nicotine exposure and birth weight were analyzed using analysis of covariance. Association with abstinence was analyzed using backward elimination logistic regressions. Prevalence of household-smoking bans increased from ∼ 45% to 55% AP and then increased to ∼80% PP. Women with a ban exhibited lower nicotine exposure in early and late pregnancy compared to smokers without a ban. Women with a ban at baseline or who adopted a ban early in treatment were more likely to be abstinent at late pregnancy and 24 weeks PP compared to women without a ban. There was a dose-response relationship between combined exposure (i.e., smoking and ban status) and infant birth weight, with infants of women who quit and reported a ban having the highest adjusted mean birth weight (3426 ± 63 g), while infants of women who continued smoking without a ban having the lowest (3153 ± 37 g). These results provide an empirical rationale for prospectively investigating whether adopting a household-smoking ban can reduce fetal exposure among pregnant smokers. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Using the Cigarette Purchase Task to examine the relative reinforcing value of cigarettes among mothers with versus without opioid dependence.

The Cigarette Purchase Task (CPT), in which participants estimate the number of cigarettes they would smoke across increasing cigarette prices, measures the relative reinforcing value of cigarettes. Although opioid-dependent individuals are particularly vulnerable to tobacco addiction, more research is needed to elucidate whether and to what extent their motivation to smoke differs from not-opioid-dependent smokers controlling for potential sociodemographic differences. Participants were 173 women (65 opioid-dependent) in an ongoing clinical trial for smoking cessation. Baseline CPT responses were compared between opioid-dependent and not-opioid-dependent women using five demand indices: Demand Intensity; Omax; Pmax; Breakpoint (BP); and α, and two latent factors: Amplitude and Persistence. Final regression models adjusted for sociodemographic characteristics differing between the two groups. Opioid-dependent women had greater demand Intensity (i.e., number of cigarettes they would smoke if they were free) than not-opioid dependent women in the adjusted model, F(1, 156) = 6.93, p = .016. No other demand indices differed significantly. Regarding latent factors, demand Amplitude (i.e., volumetric consumption), but not Persistence (i.e., price insensitivity), was greater for opioid-dependent women in the adjusted model, F(1, 146) = 4.04, p = .046. These results further demonstrate that the CPT is a highly sensitive task that can illuminate potentially important individual and population differences in the relative reinforcing value of smoking. Greater demand Intensity and Amplitude differentiated smokers with comorbid opioid dependence; thus, decreasing smoking prevalence among opioid-dependent populations may require policies and interventions that can decrease cigarette demand Intensity and Amplitude. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Leveraging technology to address the problem of cigarette smoking among women of reproductive age.

Women of reproductive age and particularly pregnant women underutilize evidence-based smoking cessation services such as counseling and quit lines. Mobile health (mHealth) may constitute an unexplored and innovative avenue for providing smoking cessation support to a population that is otherwise difficult to reach with evidence-based interventions. Female respondents aged 18-44 years (N = 10,023) were drawn from the first wave of the Population Assessment of Tobacco and Health (PATH) study (2013-2014). We examined prevalence of use of various digital forms of communication (e.g., social media, text messaging, smartphone ownership) among non-pregnant women of reproductive age, pregnant women, and among smokers versus non-smokers within these groups. Multiple logistic regression modeling was conducted to identify correlates of using each digital form adjusting for smoking status, pregnancy, and demographic characteristics. Over two thirds of women overall and within subgroups of non-pregnant and pregnant smokers reported using social media, owning a cell phone, owning a smartphone, downloading apps, and sending/receiving text messages. Current smokers and those with lower educational attainment generally had lower odds of using each digital form relative to non-smokers and those with higher educational attainment, the exception being that smokers had higher odds of using social media relative to non-smokers. The high prevalence of using various digital forms among both non-pregnant smokers of reproductive age and pregnant smokers suggests that leveraging technology to expand access to prevention, education, and treatment resources may reduce smoking-attributable adverse health effects among reproductive-aged women and their offspring.