Cigarette and E-Cigarette Perceptions About Harm During Pregnancy.

BACKGROUND: Research suggests that pregnancy status (prior, current, and future intention) is associated with differences in perceived harm of e-cigarette use during pregnancy. However, perceptions of health outcomes attributed to cigarette and e-cigarette use during pregnancy have not been explored among a sample of pregnant women who smoke. OBJECTIVES: The purpose of this study was to explore differences in perceived harms of cigarette and e-cigarette use and perceived birth and health outcomes associated with cigarette and e-cigarette use during pregnancy among a sample of pregnant women who currently smoked. METHODS: Using a cross-sectional online survey, we examined perceptions about cigarette and e-cigarette use during pregnancy among a sample of U.S. pregnant women (n = 267) who smoked in the past 30 days. Participants were grouped into categories based on e-cigarette use status (current, past, and never e-cigarette users). Differences between e-cigarette use status and perceived harm (absolute of cigarettes, e-cigarettes, and relative of e-cigarettes) and perceived health outcomes attributed to smoking/e-cigarette use were examined. RESULTS: Among our sample, 45.7%, 39.7%, and 14.6% were current, ever, and never e-cigarette users, respectively. Associations existed between e-cigarette use status and absolute perceived harm of cigarettes, relative perceived harm of e-cigarettes, and perceived health outcomes. Current e-cigarette users believed pregnant women who smoked cigarettes were more likely to lose a child due to miscarriage or sudden infant death syndrome or give birth to a child with low birth weight, reduced lung function, cleft lip, reduced brain function, or attention-deficit/hyperactivity disorder than never e-cigarette users. No associations were found between perceived birth and health outcomes of e-cigarette use by e-cigarette user status. DISCUSSION: Pregnant women who smoked and used e-cigarettes had lower risk perceptions about e-cigarette use during pregnancy than those who only smoked. Health messages and research about the harms of nicotine exposure during pregnancy should address the risks of dual-use versus only e-cigarette use. Additionally, messages about the relative harm of e-cigarettes compared to cigarettes are needed for pregnant women who smoke and have trouble quitting.

Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis.

BACKGROUND: On December 20, 2019, the US "Tobacco 21" law raised the minimum legal sales age of tobacco products to 21 years. Initial research suggests that misinformation about Tobacco 21 circulated via news sources on Twitter and that sentiment about the law was associated with particular types of tobacco products and included discussions about other age-related behaviors. However, underlying themes about this sentiment as well as temporal trends leading up to enactment of the law have not been explored. OBJECTIVE: This study sought to examine (1) sentiment (pro-, anti-, and neutral policy) about Tobacco 21 on Twitter and (2) volume patterns (number of tweets) of Twitter discussions leading up to the enactment of the federal law. METHODS: We collected tweets related to Tobacco 21 posted between September 4, 2019, and December 31, 2019. A 2% subsample of tweets (4628/231,447) was annotated by 2 experienced, trained coders for policy-related information and sentiment. To do this, a codebook was developed using an inductive procedure that outlined the operational definitions and examples for the human coders to annotate sentiment (pro-, anti-, and neutral policy). Following the annotation of the data, the researchers used a thematic analysis to determine emergent themes per sentiment category. The data were then annotated again to capture frequencies of emergent themes. Concurrently, we examined trends in the volume of Tobacco 21-related tweets (weekly rhythms and total number of tweets over the time data were collected) and analyzed the qualitative discussions occurring at those peak times. RESULTS: The most prevalent category of tweets related to Tobacco 21 was neutral policy (514/1113, 46.2%), followed by antipolicy (432/1113, 38.8%); 167 of 1113 (15%) were propolicy or supportive of the law. Key themes identified among neutral tweets were news reports and discussion of political figures, parties, or government involvement in general. Most discussions were generated from news sources and surfaced in the final days before enactment. Tweets opposing Tobacco 21 mentioned that the law was unfair to young audiences who were addicted to nicotine and were skeptical of the law's efficacy and importance. Methods used to evade the law were found to be represented in both neutral and antipolicy tweets. Propolicy tweets focused on the protection of youth and described the law as a sensible regulatory approach rather than a complete ban of all products or flavored products. Four spikes in daily volume were noted, 2 of which corresponded with political speeches and 2 with the preparation and passage of the legislation. CONCLUSIONS: Understanding themes of public sentiment-as well as when Twitter activity is most active-will help public health professionals to optimize health promotion activities to increase community readiness and respond to enforcement needs including education for retailers and the general public.

Social Risk of Pregnant Women at a Community Health Center: An Application of the PRAPARE Assessment Tool.

Community health centers (CHCs) screen patients for social determinants of health (SDoH). The study's purpose was to assess the relationship between demographic factors and unmet social needs (SDoH risk) among pregnant mothers. Patient data from 345 pregnant women between January 2019-December 2020 assessed SDoH risk, using the Protocol for Responding to and Assessing Patients' Assets, Risks, and Experiences (PRAPARE) tool. Chi-square analyses explored relationships between social needs and demographic factors, and a multivariate logistic regression examined associations between these variables controlling for covariates. Hispanic patients and those who preferred to speak Spanish had 2.35 and 5.39 times the odds, respectively as non-Hispanic Whites and English speakers of having moderate/high/urgent SDoH risks. Mothers who had not completed high school had increased odds (aOR = 7.38) of SDoH risk. By identifying indicators that increase social risk level, CHCs can connect patients to essential social services, improving the downstream health of mothers and children.

Preemption in State Tobacco Minimum Legal Sales Age Laws in the US, 2022: A Policy Analysis of State Statutes and Case Laws.

Preemptive statutory language within tobacco minimum legal sales age (MLSA) laws has prohibited localities from enacting stricter laws than state statutes. With the recent uptake of state Tobacco 21 laws in the US, the current landscape of preempted MLSA laws is unknown. This study sought to update the status of preemption in MLSA laws enacted in US states between 2015-2022. A public health attorney reviewed state tobacco MLSA laws (n = 50) and state tobacco control codes, searching for language regarding preemption. When statutes were unclear, case law was reviewed by examining local ordinances that were invalidated by state court decisions. Overall, 40 states enacted Tobacco 21 laws, seven of which expanded or introduced preemption when they increased the MLSA; a total of 26 states (52%) included preemption. Six states (12%) retained 'savings clauses' included in the MLSA prior to Tobacco 21, and 18 states (36%) did not mention preemption. Based on the precedent set by state courts, eight of these 18 states may preempt localities from raising their MLSA. Historically, preemption has slowed the diffusion of best practices in tobacco control, and once implemented, the laws are difficult to repeal. The recent expansion of preemption could inhibit the evolution, development, and implementation of effective tobacco control policies.

Pregnancy-Specific Stress and Racial Discrimination Among U.S. Women.

OBJECTIVES: Adverse birth outcomes among children born to women of color (WOC) have been associated with discrimination during pregnancy; however, little research has explored stressed caused by discrimination as well as pregnancy-specific stress. The purpose of this study was to examine differences in stress and racial discrimination (lifetime and during pregnancy) between U.S. women of different racial/ethnic groups. METHODS: Women between 18 and 45 years (n = 198; 101 non-Hispanic White, 58 Black, and 39 other WOC [i.e., Hispanic, Asian/Pacific Islander, American Indian, Mixed Race]) completed an online, cross-sectional survey between December 2019 and March 2020. Participants reported pregnancy-specific stress using the pregnancy distress questionnaire (PDQ) and pregnancy life events scale (PLE) and discrimination via the general ethnic discrimination scale (GED). ANOVAs explored differences between racial/ethnic groups' stress and discrimination. RESULTS: We found non-Hispanic White (p < 0.05) and other WOC (p < 0.01) reported higher distress during pregnancy than Black women, and other WOC (p < 0.05) reported more stressful prenatal life events (p < 0.05) than non-Hispanic Whites. However, Black (p < 0.001) and other WOC (p < 0.001) both experienced more ethnic discrimination throughout their lifetime and during their pregnancy than non-Hispanic Whites. Also, Black women experienced five times the stress from these encounters than White women (p < 0.001). CONCLUSIONS FOR PRACTICE: Previously developed pregnancy distress questionnaires may be better suited for non-Hispanic White populations and may miss important experiences unique to marginalized populations such as racial/ethnic discrimination. Adaptations to pregnancy-related stress scales are warranted given the toxicity of discrimination during pregnancy.

Miscommunication about the US federal Tobacco 21 law: a content analysis of Twitter discussions.

OBJECTIVE: Tobacco 21 is a law that sets the minimum legal sales age of tobacco products to 21. On 20 December 2019, the USA passed a federal Tobacco 21 law. The objective of this study is to explore Twitter discussions about the federal Tobacco 21 law in the USA leading up to enacted. METHODS: Twitter messages about Tobacco 21 posted between September and December 2019 were collected via RITHM software. A 2% sample of all collected tweets were double coded by independent coders using a content analysis approach. RESULTS: Findings included three content categories of tweets (news, youth and young adults and methods of avoiding the law) with eight subcodes. Most news tweets incorrectly described the law as a purchase law (54.7%). However, Tobacco 21 is in fact a sales law-it only includes penalties for tobacco retailers who sell to under-age purchasers. About one-fourth (27%) of the tweets involved youth and young adults, with some claiming the law would reduce youth smoking and others doubting its ability to limit youth access to tobacco products. Few tweets (2.5%) mentioned methods of circumventing the policy, such as having an older peer purchase tobacco. CONCLUSIONS: As several countries explore raising their age of sale of tobacco laws to 21, they should couple policy enactment with clear and accurate communication about the law. Compliance agencies at all levels (eg, local, regional, national) can use social media to identify policy loopholes and support vulnerable populations throughout the policy implementation process.

Erratum to "Factors that influence Puerto Rican's intention to get the COVID- 19 vaccine" [Exploratory Research in Clinical and Social Pharmacy 5C (2022) 100106].

[This corrects the article DOI: 10.1016/j.rcsop.2022.100106.].

Components in tobacco-free school policies-A coding tool for assessment.

OBJECTIVE: To develop an instrument to examine tobacco-free campus policy components. PARTICIPANTS: Missouri two- and four-year, specialized/technical, and religious colleges and universities (N = 76). Methods: The instrument was informed via literature review and expert interviews. Coder agreement was strong (κ = .80). Qualitative policy language examples were identified. RESULTS: Model policy components including consideration for population, prohibited products, location restrictions, enforcement, consequences, promotions, communications, cessation, designated smoking areas and exemptions; comprehensive policies included all populations, for all tobacco products, and at all locations on the campus. Nineteen campuses had comprehensive tobacco-free policies, five had comprehensive smoke-free policies (cigarettes and e-cigarettes), and no policy included all model components. Fifty-two were non-comprehensive. CONCLUSIONS: This instrument can allow campuses to identify components for comprehensive and model tobacco-free campus policies and assist officials in improving policy language. Future research can use this instrument to examine the effectiveness of components and their impact on tobacco use outcomes.

Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study.

BACKGROUND: Twitter provides a valuable platform for the surveillance and monitoring of public health topics; however, manually categorizing large quantities of Twitter data is labor intensive and presents barriers to identify major trends and sentiments. Additionally, while machine and deep learning approaches have been proposed with high accuracy, they require large, annotated data sets. Public pretrained deep learning classification models, such as BERTweet, produce higher-quality models while using smaller annotated training sets. OBJECTIVE: This study aims to derive and evaluate a pretrained deep learning model based on BERTweet that can identify tweets relevant to vaping, tweets (related to vaping) of commercial nature, and tweets with provape sentiment. Additionally, the performance of the BERTweet classifier will be compared against a long short-term memory (LSTM) model to show the improvements a pretrained model has over traditional deep learning approaches. METHODS: Twitter data were collected from August to October 2019 using vaping-related search terms. From this set, a random subsample of 2401 English tweets was manually annotated for relevance (vaping related or not), commercial nature (commercial or not), and sentiment (positive, negative, or neutral). Using the annotated data, 3 separate classifiers were built using BERTweet with the default parameters defined by the Simple Transformer application programming interface (API). Each model was trained for 20 iterations and evaluated with a random split of the annotated tweets, reserving 10% (n=165) of tweets for evaluations. RESULTS: The relevance, commercial, and sentiment classifiers achieved an area under the receiver operating characteristic curve (AUROC) of 94.5%, 99.3%, and 81.7%, respectively. Additionally, the weighted F1 scores of each were 97.6%, 99.0%, and 86.1%, respectively. We found that BERTweet outperformed the LSTM model in the classification of all categories. CONCLUSIONS: Large, open-source deep learning classifiers, such as BERTweet, can provide researchers the ability to reliably determine if tweets are relevant to vaping; include commercial content; and include positive, negative, or neutral content about vaping with a higher accuracy than traditional natural language processing deep learning models. Such enhancement to the utilization of Twitter data can allow for faster exploration and dissemination of time-sensitive data than traditional methodologies (eg, surveys, polling research).

COVID-19 Risk Perceptions and Health Behaviors in Puerto Rico.

Preventative health behaviors were encouraged for all at the beginning of the COVID-19 pandemic. However, as the pandemic continued after 2020, some people stopped implementing all measures. It is unknown if people living in Puerto Rico continued to perform preventive health behaviors throughout the pandemic. The purpose of this study was to explore if the risk perceptions of COVID-19 were associated with preventative health behaviors among Puerto Ricans during the COVID-19 pandemic. A sample from Puerto Rico (N = 285) was recruited from January to March 2021 to participate in a cross-sectional, online survey about health behaviors and risk perceptions of COVID-19. Demographics were reported, and a multivariate logistic regression explored the relationships between health behaviors (e.g., handwashing, staying at home, and not allowing visitors) and fear of COVID-19 (outcome variable) and risk of becoming infected with COVID-19 (outcome variable). Those who reported that they washed their hands more often than usual were more likely (adjusted odds ratios = 6.93) to indicate that they were afraid of COVID-19 compared with those who were not performing this behavior. Also, those who reported not leaving their home as much and who did not receive visitors into their house as much as they did before the pandemic were 2.49 and 2.89 times as likely to report being afraid of the virus, respectively, as their counterparts. Although fear may not effectively change all behaviors, it may encourage Puerto Rican adults to practice healthy behaviors that will prevent the spread of COVID-19.

Policy and Behavior: Comparisons between Twitter Discussions about the US Tobacco 21 Law and Other Age-Related Behaviors.

To combat the e-cigarette epidemic among young audiences, a federal law was passed in the US that raised the minimum legal sales age of tobacco to 21 years (commonly known as Tobacco 21). Little is known about sentiment toward this law. Thus, the purpose of our study was to systematically explore trends about Tobacco 21 discussions and comparisons to other age-restriction behaviors on Twitter. Twitter data (n = 4628) were collected from September to December of 2019 that were related to Tobacco 21. A random subsample of identified tweets was used to develop a codebook. Two trained coders independently coded all data, with strong inter-rater reliability (κ = 0.71 to 0.93) found for all content categories. Associations between sentiment and content categories were calculated using χ2 analyses. Among relevant tweets (n = 955), the most common theme­the disjunction between ages for military enlistment and tobacco use­was found in 17.8% of all tweets. Anti-policy sentiment was strongly associated with the age of military enlistment, alcohol, voting, and adulthood (p < 0.001 for all). Opposition to Tobacco 21 propagates on social media because the US federal law does not exempt military members. However, the e-cigarette epidemic may have fueled some support for this law.

Factors that influence Puerto Rican's intention to get the COVID-19 vaccine.

Despite Latino Americans having been found to be disproportionally affected by COVID-19, they report higher hesitancy to receive the COVID-19 vaccine than non-Hispanic whites. The purpose of this study was to examine factors that influence Puerto Rican's intentions to get the COVID-19 Vaccine. A sample (n = 173) of people who currently lived in Puerto Rico were recruited to complete an online, cross-sectional survey about their intention to receive the COVID-19 vaccine. Demographics and vaccine hesitancy were assessed, and logistic regressions explored relationships between variables and intention to get the COVID-19 vaccine when it became available. When controlling for covariates, 30-49-year-olds (aOR = 0.12) and those who had refused a vaccine in the past (aOR = 0.07) had lower odds of vaccine uptake than those between 18 and 29 years and who had not previously refused a vaccine, respectively. Those who had completed at least a 4-year college degree (aOR = 6.78) had greater odds of intending to get vaccinated than their counterparts. Health education campaigns about COVID-19 in Puerto Rico should be tailored to working-age adults who may mistrust information they have heard about the vaccine. Messages could be tailored to preferred communication channels to decrease vaccination hesitancy.

Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series.

Background: Electronic nicotine delivery systems (known as electronic cigarettes or e-cigarettes) increase risk for adverse health outcomes among naïve tobacco users, particularly youth and young adults. This vulnerable population is also at risk for exposed brand marketing and advertisement of e-cigarettes on social media. Understanding predictors of how e-cigarette manufacturers conduct social media advertising and marketing could benefit public health approaches to addressing e-cigarette use. Objective: This study documents factors that predict changes in daily frequency of commercial tweets about e-cigarettes using time series modeling techniques. Methods: We analyzed data on the daily frequency of commercial tweets about e-cigarettes collected between January 1, 2017, and December 31, 2020. We fit the data to an autoregressive integrated moving average (ARIMA) model and unobserved components model (UCM). Four measures assessed model prediction accuracy. Predictors in the UCM include days with events related to the US Food and Drug Administration (FDA), non-FDA-related events with significant importance such as academic or news announcements, weekday versus weekend, and the period when JUUL maintained an active Twitter account (ie, actively tweeting from their corporate Twitter account) versus when JUUL stopped tweeting. Results: When the 2 statistical models were fit to the data, the results indicate that the UCM was the best modeling technique for our data. All 4 predictors included in the UCM were significant predictors of the daily frequency of commercial tweets about e-cigarettes. On average, brand advertisement and marketing of e-cigarettes on Twitter was higher by more than 150 advertisements on days with FDA-related events compared to days without FDA events. Similarly, more than 40 commercial tweets about e-cigarettes were, on average, recorded on days with important non-FDA events compared to days without such events. We also found that there were more commercial tweets about e-cigarettes on weekdays than on weekends and more commercial tweets when JUUL maintained an active Twitter account. Conclusions: e-Cigarette companies promote their products on Twitter. Commercial tweets were significantly more likely to be posted on days with important FDA announcements, which may alter the narrative about information shared by the FDA. There remains a need for regulation of digital marketing of e-cigarette products in the United States.

Association of psychological distress and current cigarette smoking among Native Hawaiian and Pacific Islander adults and compared to adults from other racial/ethnic groups: Data from the National Health Interview Survey, 2014.

Cigarette smoking is the leading cause of preventable deaths worldwide. Research has documented an association between psychological distress and smoking among certain racial/ethnic groups but has not examined this association among Native Hawaiian and Pacific Islander (NHPI) adults. Data from the 2014 general and the NHPI-specific National Health Interview Surveys were analyzed at the University of Arkansas for Medical Sciences Regional Campus (Fayetteville, AR) in April 2021 to determine the association between current cigarette smoking and levels of psychological distress among NHPI adults and to assess the difference in the magnitude of that association among NHPI adults compared to adults of other racial/ethnic groups in the United States. The final analytic sample (n = 34,782) included 1,916 NHPI, 20,430 White, 4,725 Black, 2,001 Asian, and 5,710 Hispanic adults. A significant association between current cigarette smoking and psychological distress levels was found among NHPI adults as well as among adults from other racial/ethnic groups. There was no significant difference in the magnitude of the detected association among NHPI adults compared to the magnitude of the same association detected among adults of other racial/ethnic groups. However, this finding indicates race/ethnicity does not moderate the association between psychological distress and current cigarette smoking. Future studies should explore factors that may further explain the variation in current cigarette smoking within and across all racial/ethnic groups.

Harm perceptions, JUUL dependence, and other tobacco product use among young adults who use JUUL.

INTRODUCTION: The study identified groups of JUUL using young adults based on their use patterns and compared harm perceptions, JUUL dependence, and other tobacco product use among these groups. METHODS: Online cross-sectional survey data were gathered in March 2019 from 667 undergraduate students who used JUUL weekly (50.4% females, average age: 20.3 years) at a southwest U.S. university. RESULTS: Latent class analysis identified four groups of young adults who used JUUL: 1) Light Social JUUL Using Young Adults (LS, 52.5%) who used JUUL occasionally with friends when drinking alcohol, 2) Daily Sensation Seekers (DSS, 16.2%) who used JUUL daily with alcohol, 3) Daily Activity Driven JUUL Using Young Adults (DAD, 26.0%) who used JUUL daily while drinking, watching media, or studying, and 4) Daily All Occasion JUUL Using Young Adults (DAO, 5.3%) who used JUUL heavily, daily and in various occasions. While all four groups reported some extent of JUUL dependence, DAO reported the highest dependence and were more likely than LS to have used cigarettes and other e-cigarettes besides JUUL. They also tended to believe different pod flavors could cause different types of lung damage while the other groups were unsure/disagreed with this belief. LS were more likely than DSS and DAD to believe that JUUL use indicated openness to new experiences. CONCLUSION: Young adults with different JUUL use patterns perceived JUUL harms differently and faced varied risks of JUUL dependence and other tobacco product use. Effective cessation interventions should be adapted to meet the needs of these groups.

Potential risk factors for cigarette use among a sample of college JUUL users.

Objective: To examine the relationship between demographics, other tobacco use, and JUUL dependency on combustible cigarette use among college JUUL users. Participants: Undergraduates (n = 595) at a large southwestern university who used JUUL weekly completed a cross-sectional online survey in March 2019. Methods: Logistic regressions examined associations between covariates and ever use/past 30-day use of cigarettes. Results: As age increased, odds of ever trying a cigarette increased (AOR = 1.87; 95% CI = 1.45-2.41); however, as age of JUUL initiation increased, odds of ever (AOR = 0.80; 95% CI = 0.65-0.99) or past 30-day (AOR = 0.78; 95% CI = 0.63-0.97) cigarette use decreased. Those moderately (AOR = 2.03; 95% CI = 1.07-3.82) or highly (AOR = 8.01; 95% CI = 3.08-20.83) dependent on JUUL were more likely to have tried cigarettes than those not dependent. However, dependence was not associated with past 30-day use. Conclusions: JUUL users may not transition to combustible cigarettes during college. Longitudinal studies are needed to examine transitions in JUUL users' tobacco product use after college.

Human papillomavirus (HPV) knowledge, beliefs, and vaccine uptake among United States and international college students.

Objective: The purpose of this study was to compare knowledge about human papillomavirus (HPV) and HPV vaccine, college student's beliefs toward HPV, and HPV vaccine uptake between US and international college students studying in the US. Participants: The study was conducted using a sample (N = 588) of college students from a university in the South Central US. Methods: Study measures was derived from previously validated measures. Data were collected via an online survey using Qualtrics. Results: Significant differences were found in HPV awareness, HPV vaccine awareness, and HPV vaccine uptake between US and international college students. Conclusion: This study showed existing disparities between US and international college students regarding HPV and HPV vaccine awareness, and HPV vaccine uptake. College health centers can play a crucial role in raising awareness of HPV and HPV vaccination rates by organizing various intervention programs to reduce these disparities.

Using the PRAPARE Tool to Examine Those Tested and Testing Positive for COVID-19 at a Community Health Center.

The PRAPARE (Protocol for Responding to and Assessing Patients' Assets, Risks, and Experiences) tool is an instrument that has been used to assess social determinants of health within community health centers in the US. We sought to examine the association between PRAPARE scores and getting tested for and testing positive with the SARS-CoV-2 virus. We used medical record data collected from a community health center in the US between March-August 2020. Employing logistic regression analyzes, we explored the association between demographic factors, history of screening positive for depression, and PRAPARE scores and patients' odds of getting tested and testing positive for COVID-19. While variables such as ethnicity mirrored similar findings from other sources, we found the PRAPARE score to be associated with increased odds of being tested for COVID-19; however, it was not significantly associated with testing positive. These findings can help health care workers and health educators craft messages to explain screening protocols for communicable diseases, such as COVID-19, to best reach vulnerable populations.

Pregnant Smokers' Intention to Switch From Cigarettes to E-Cigarettes: A Reasoned Action Approach.

INTRODUCTION: This study used the reasoned action approach (RAA) to examine 1) factors associated with pregnant smokers' intention to switch from cigarettes to e-cigarettes and 2) the influence that intention to switch had on future expectations to resume cigarette use postpartum. METHODS: U.S. pregnant women (N = 267) who reported past 30-day use of cigarettes completed an online cross-sectional survey between November and December 2019. A 30-item scale measured RAA constructs (intention, instrumental attitudes, experiential attitudes, injunctive norms, descriptive norms, perceived autonomy, and perceived capacity). A confirmatory factor analysis confirmed and structural equation modeling tested the RAA constructs' association with intention to switch and the relationship between intention to switch and future expectations to resume smoking after pregnancy. RESULTS: The confirmatory factor analysis confirmed the seven-factor measurement model. Structural equation modeling found instrumental attitudes (ß = 0.43; p < .001) and descriptive norms (ß = 0.53; p < .001) were associated with intention to switch from cigarettes to e-cigarettes. However, there were differences between the constructs' relationships with intention between those who did and did not use e-cigarettes in the past 30 days. Intention to switch was inversely related with future expectations to resume smoking postpartum (ß = -0.13; p < .001). CONCLUSIONS: This study examined multiple facets of behavioral decision-making that may influence pregnant smokers' intention to switch to e-cigarettes during pregnancy. In this sample, pregnant people who believed switching from cigarettes to e-cigarettes was important and that other smokers commonly switched during pregnancy reported greater intention to switch. Novel theories, such as the RAA, may provide an optimal lens to understand pregnant smokers' behavioral decision-making process as they consider switching from cigarettes to e-cigarettes.