#Discreetshipping: Selling E-cigarettes on TikTok.

INTRODUCTION: Youth and young adult use of e-cigarette products continues to remain high despite regulatory approaches to reduce youth access. This study sought to examine TikTok content regarding the sale and distribution of e-cigarettes. AIMS AND METHODS: TikTok videos (n = 475) and metadata posted between June 2022 and August 2023 were scraped using a TikTok application programming interface and popular hashtags used to sell vaping products (ie, #discreetshipping [40.8 million], #puffbundle [14.8 million], #hiddennic [1.0 million]). After watching the 25 most viewed videos (39 600-868 800 views), a codebook was developed. All metadata were annotated using 11 unique codes: Small business, brand, cannabis, bundled, hidden, fake, international sales, no ID, order via Instagram, order via another method, and cost. RESULTS: Overall, 367 videos (with an average of 2017 likes) were deemed relevant. Videos advertised popular vaping brands (50.4%) that included cannabis products (45%). Products were described as bundled (28.6%), hidden (8.7%), and able to be shipped internationally (6%) without age verification (45.2%). Some videos (8.2%) evaded algorithms' detection of illegal activity by describing the post as "Fake." Customers were directed to other social media platforms (most often Instagram, 57.5%) and/or other websites/links (58.3%) to purchase products; 22.1% advertised discounts, free shipping, or low costs (ranging from $25-$35). CONCLUSIONS: Social media platforms, such as TikTok and Instagram, are being used to circumvent e-cigarette regulatory policies. Regulatory agencies should expand enforcement strategies to include social media platforms where users are illegally selling and distributing e-cigarettes internationally to young audiences. IMPLICATIONS: TikTok users across the globe are violating local, state, and federal laws by selling e-cigarettes concealed inside other products or bundled in packages that avoid detection. TikTok videos posted by self-proclaimed small business owners advertise discreet shipping practices that evade age verification in order to sell nicotine and cannabis bundles worldwide. Accounts used phrases describing the post to be "fake" to avoid detection by algorithms or TikTok administrators. E-cigarette regulatory agencies can partner with social media platforms to close regulatory gaps.

Cigarette and E-Cigarette Harm Perceptions During Pregnancy.

BACKGROUND: Research suggests that pregnancy status (prior, current, and future intention) is associated with differences in perceived harm of electronic cigarette (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 because of 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. In addition, messages about the relative harm of e-cigarettes compared to cigarettes are needed for pregnant women who smoke and have trouble quitting.

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.

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.

Interventions using mHealth strategies to improve screening rates of cervical cancer: A scoping review.

MHealth interventions are extensively used to inform and remind women about cervical cancer and their upcoming screening appointments. Our scoping review aims to examine the effectiveness these interventions targeted to increase the uptake of cervical cancer screening along with its barriers and facilitators. We searched 4 databases (PsycINFO. PUBMED, CINAHL, and MEDLINE) for studies that were published between January 1, 2009 and October 2019. References were further screened manually for additional papers. Studies were included in the review if they used interventions including phone calls, text messages and mobile applications as their primary strategy to contact women. We identified 12 unique studies that met the inclusion criteria; seven were international studies. Most studies sent multiple messages (informative and reminder) and/or made numerous phone calls (manual/automated) to inform participants about cervical cancer screening, their nearest screening clinic, and their upcoming appointments. Five studies documented a significant increase in the uptake of cervical cancer screenings during the follow-ups conducted within 12 months. Qualitative studies suggested participants prefer particular communication mediums, and they were concerned about privacy and confidentiality issues when text messages were sent with their health information. Findings suggest mHealth interventions may be an effective strategy to reach women for improving their cervical cancer uptake. Barriers including transportation cost, inaccessibility, and inability to come for walk-in appointments in the health clinics need to be addressed, beyond reminders, in mobile phone-based interventions to facilitate their presence in their next appointment.

Family-Centered Interventions for Treatment and Prevention of Childhood Obesity in Hispanic Families: A Systematic Review.

The recent increases in childhood obesity rate among the Hispanics living in the US is a major public health concern. To date, interventions seeking to reduce childhood obesity often target the youth or the parents; however, few engage both groups within the intervention. This systematic review explores current studies that aim to control obesity in Hispanic children through family-centered interventions and assesses the effects and outcomes of these interventions in Hispanic children (2-12 years old). Data bases (PubMed, Cochrane, and EBSCO) were used to search for articles published from 2013 to 2019 that used interventions to prevent or reduce childhood obesity in Hispanic populations. Out of the initial 110 articles, only nine articles met the inclusion criteria and were included in the analysis. The majority of the current interventions included in this systematic analysis were effective in controlling Hispanic childhood obesity. Shorter interventions (i.e. 8-36 weeks) found changes in health behaviors (e.g. sugary drink consumption, screen time) and health outcomes (e.g. health-related quality of life), but many did not see changes in anthropometric variables (e.g. body mass index [BMI], blood pressure). However, interventions measured over longer timeframes (i.e. 48-144 weeks) found some decreases in sustained behaviors (e.g. caloric intake) and anthropometric measures. There is a lack of literature pertaining to culturally relevant, family-centered interventions for Hispanic youth and their families. Future studies should use culturally tailored strategies to develop interventions specifically made for Hispanic youth and education to engage their families within the program.

Gestational Women's Perceptions About the Harms of Cigarette and E-Cigarette Use During Pregnancy.

OBJECTIVES: The purpose of this study was to examine differences between perceived harm of cigarette and electronic cigarette (e-cigarette) use while pregnant and differences between healthcare providers' communication about these products during pregnancy. METHODS: A convenience sample of gestational women (n = 218; ages 18-45) living in the US completed an online survey between May and December 2017. Participants reported perceived likelihood of adverse health outcomes (e.g., low birth weight, sudden infant death syndrome) among infants/children born to mothers who used cigarettes/e-cigarettes. T-tests and two-way ANOVAs examined differences between risk perceptions of using cigarettes/e-cigarettes while pregnant based on pregnancy status (previously pregnant, currently pregnant, future pregnant). Chi-square analyses examined differences between healthcare provider communication about cigarette/e-cigarette use during pregnancy. RESULTS: Overall, participants believed adverse health outcomes were significantly more likely to be caused by maternal use of cigarettes than e-cigarettes. Participants who planned to be pregnant reported higher endorsement that smoking combustible cigarettes would cause a miscarriage (p < .05) or increased blood pressure (p < .05) for a child than currently pregnant participants. Participants reported healthcare providers asked about (p < .05), advised them not to use (p < .001), and talked to them about health effects of smoking combustible cigarettes while pregnant (p < .001) significantly more than e-cigarettes. CONCLUSIONS FOR PRACTICE: Healthcare providers working with pregnant women should perform the 5As behavioral intervention method to provide pregnant women with tobacco cessation care. They should also discuss the absolute harm nicotine exposure (via cigarettes or e-cigarettes) can have on fetal health and development.

Cigarettes vs. E-Cigarettes: Policy Implications from a Focus Group Study.

Background: Rates of electronic cigarettes (e-cigarette) use (vaping) have increased among college students over the past decade. Objectives: The current study sought to provide an in-depth examination of college students' beliefs about and attitudes toward cigarettes and e-cigarettes that may influence support/non-support of tobacco-free policies on college campuses and within their communities. Methods: Between August and December 2015, five focus groups (n = 22) were conducted at a large Southern University. Focus group discussions addressed social acceptance and areas where students commonly smoked/vaped on campus. Sessions were transcribed verbatim. Two researchers independently coded the transcripts and identified themes. A third researcher independently reviewed the coding and thematic analysis process (triangulation of researchers). Results: Participants expressed positive attitudes toward smoke-free policies that did not target college students, especially those that protected vulnerable populations (e.g., children). However, some were skeptical of tobacco-free policies that included e-cigarettes. Participants believed the campus tobacco-free policy had moved smokers' behavior off campus, but many reported seeing people vape in locations where smoking was not allowed (i.e., library, dorm rooms). Most perceived smoking to be less acceptable than vaping; smoking was described as 'dirty', while vaping was glamorized as a cultural trend. Conclusions/Importance: Findings from our qualitative study suggest that college students are supportive of smoke-free policies, but they are less supportive of comprehensive tobacco-free policies that include e-cigarettes. College campuses and surrounding communities should plan for education about policy protection via communication channels viewed frequently by students when including vaping devices in their comprehensive tobacco-free policies/ordinances.

Beyond the First Trimester: Social Determinants of Delayed Prenatal Care at a Community Health Center Using the PRAPARE Tool.

Social determinants of health have been used to explore associations with pregnancy outcomes and the birth weight of infants; however, research employing individually based social risk measures has not examined associations among underserved populations, including pregnant persons at community health centers. Data were collected from a sample (n = 345) of pregnant persons who sought care at a community health center between January 2019 and December 2020. Social risks of pregnant patients were measured using the PRAPARE tool. First, associations between patients' social risks and trimester in which they initiated care were assessed using ANOVAs, grouping social risk by PRAPARE social determinant domains (persona characteristics, family and home, money and resources, and social and emotional health). ANOVAs were stratified by ethnicity. Next, a multivariate logistic regression examined associations between social measures and seeking care after the first trimester. Patients who sought care in the first trimester reported more financial needs than those who sought care in the second (p = .02) or the third (p = .049). Hispanic patients who sought care in the first trimester reported more monetary needs than those who sought care in the second trimester (p = .048), and non-Hispanic patients who sought care in the first trimester reported greater family and home needs than those who sought care in the second trimester (p = .47). Those who experienced stress were 3.07 times as likely to seek care after the first trimester as those who reported no stress. CHC may reduce social risk among poor and underserved communities by reducing barriers to access to care.

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.

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.

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.

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.

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.

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.

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.

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.