The Relationship Between Trauma Exposure and Adult Tobacco Use: Analysis of the National Epidemiologic Survey on Alcohol and Related Conditions (III).

INTRODUCTION: Previous research has examined cigarette smoking in trauma exposed populations. However, the relationships between trauma exposure and use of other tobacco products (eg, cigars, e-cigarettes) and specific trauma exposure characteristics that may be associated with tobacco use are understudied. AIMS AND METHODS: Using the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions-III (N = 36 151 adults), we conducted weighted bivariate analyses of tobacco use among participants with no trauma exposure, trauma exposure, and trauma exposure with post-traumatic stress disorder (trauma + PTSD), stratified by tobacco product use. We also performed weighted logistic regressions testing relationships between trauma exposure and tobacco use, controlling for behavioral health (BH) conditions (mood, anxiety, substance use, personality disorders) and sociodemographics. RESULTS: Approximately 44% of participants had experienced trauma; 6% experienced trauma + PTSD. Trauma exposed participants had a higher prevalence of tobacco use (30%--46% vs. 22%) and poly-tobacco use (34%--35% vs. 28%) than unexposed participants. Cigarettes were the most used tobacco product; trauma + PTSD (19%), and trauma (15%) participants had a higher prevalence of e-cigarette use than unexposed participants (11%). Trauma exposure was associated with current tobacco use (AOR = 1.36 trauma + PTSD; 1.23 trauma) (but not former use), particularly among participants exposed to violence/abuse (AOR = 1.23). Personality and substance use disorders were strongly associated with current and former tobacco use. CONCLUSIONS: Trauma exposure, PTSD, and experiences of violence/abuse are associated with current tobacco use. BH conditions may also play a role in current and former tobacco use. Recognizing and addressing trauma exposure and BH conditions among tobacco users may improve cessation rates in these populations. IMPLICATIONS: This study contributes to research on tobacco use disparities in behavioral health populations by providing a comprehensive examination of tobacco use in trauma exposed individuals. Prior research has examined cigarette smoking, but not other tobacco product use in these populations. This study presents findings on multiple tobacco use behaviors (tobacco product, poly-tobacco use, cessation attempts) in trauma exposed populations and characteristics of trauma exposure (severity, type of traumatic event) associated with tobacco use. These findings underscore the importance of further examining the implications of trauma exposure for tobacco use and of screening and addressing trauma in cessation treatment.

Cigarette Brand Use and Sexual Orientation: Intersections With Gender and Race or Ethnicity.

INTRODUCTION: Lesbian, gay, and bisexual (LGB) populations have higher cigarette smoking rates than heterosexual populations. The tobacco industry has leveraged LGB, gender, and racial or ethnic identities to establish cigarette brand preference. We examined cigarette brand use among smokers by sexual orientation and the implications of gender and race or ethnicity for brand use. METHODS: We used the National Survey on Drug Use and Health (NSDUH; 2015-2017) to conduct weighted bivariate analyses in 2019-2020 of the prevalence of 5 commonly used cigarette brands among adult smokers (N = 24,310) by sexual orientation. We conducted weighted regressions to test relationships between sexual orientation and brand use and interactions between sexual orientation, gender (defined in NSDUH as male or female), and race or ethnicity. RESULTS: LGB smokers were more likely to use Camel (lesbian/gay, OR = 1.7 [95% CI, 1.2-2.3], bisexual, OR = 1.8 [95% CI, 1.5-2.2]) and American Spirit cigarettes (lesbian/gay, OR = 2.8 [95% CI, 1.9-4.1], bisexual, OR = 3.2 [95% CI, 2.5-4.1]) than heterosexual smokers. Lesbian/gay smokers had higher odds of Marlboro cigarette use (OR = 1.2; 95% CI, 1.0-1.4) than heterosexual smokers. Bisexual smokers were more likely to smoke Newport cigarettes (OR = 1.7; 95% CI, 1.4-2.1) than heterosexual smokers. Interactions between LGB and female identities (vs gay or bisexual male) were positively associated with Camel, Marlboro, and Newport use. The interaction between lesbian/gay and Hispanic/Latino ethnicity (vs lesbian/gay White) was also positively associated with Newport use. CONCLUSION: LGB smokers may be more likely to smoke some commonly used cigarette brands than heterosexual smokers, and gender and race or ethnicity may have implications for brand preference. Future research could examine specific contributors to brand use among LGB smokers (eg, tobacco marketing).

Considering Emotion in COVID-19 Vaccine Communication: Addressing Vaccine Hesitancy and Fostering Vaccine Confidence.

Long-term control of the COVID-19 pandemic hinges in part on the development and uptake of a preventive vaccine. In addition to a segment of population that refuses vaccines, the novelty of the disease and concerns over safety and efficacy of the vaccine have a sizable proportion of the U.S. indicating reluctance to getting vaccinated against COVID-19. Among various efforts to address vaccine hesitancy and foster vaccine confidence, evidence-based communication strategies are critical. There are opportunities to consider the role of emotion in communication efforts. In this commentary, we highlight several ways negative as well as positive emotions may be considered and leveraged. Examples include attending to negative emotions such as fear and anxiety, raising awareness of emotional manipulations by anti-vaccine disinformation efforts, and activating positive emotions such as altruism and hope as part of vaccine education endeavors.

HPV vaccine, Twitter, and gay, bisexual and other men who have sex with men.

This study aimed to quantify human papillomavirus (HPV) vaccine Twitter messaging addressing gay, bisexual and other men who have sex with men (GB+MSM) and describes messaging by vaccine sentiment (attitudes towards vaccine) and characteristics (topic of messaging). Between August 2014 and July 2015, we collected 193 379 HPV-related tweets and classified them by vaccine sentiment and characteristics. We analysed a subsample of tweets containing the terms 'gay', 'bisexual' and 'MSM' (N = 2306), and analysed distributions of sentiment and characteristics using chi-square. HPV-related tweets containing GB+MSM terms occupied 1% of our sample. The subsample had a largely positive vaccine sentiment. However, a proportion of 'gay' and 'bisexual' tweets did not mention the vaccine, and a proportion of 'gay' and 'MSM' tweets had a negative sentiment. Topics varied by GB+MSM term-HPV risk messaging was prevalent in 'bisexual' (25%) tweets, and HPV transmission through sex/promiscuity messaging was prevalent in 'gay' (18%) tweets. Prevention/protection messaging was prevalent only in 'MSM' tweets (49%). Although HPV vaccine sentiment was positive in GB+MSM messaging, we identified deficits in the volume of GB+MSM messaging, a lack of focus on vaccination, and a proportion of negative tweets. While HPV vaccine promotion has historically focused on heterosexual HPV transmission, there are opportunities to shape vaccine uptake in GB+MSM through public health agenda setting using social media messaging that increases knowledge and minimizes HPV vaccine stigma. Social media-based HPV vaccine promotion should also address the identities of those at risk to bolster vaccine uptake and reduce the risk of HPV-attributable cancers.

Mental illness and bipolar disorder on Twitter: implications for stigma and social support.

Background: Mental illness (MI), and particularly, bipolar disorder (BD), are highly stigmatized. However, it is unknown if this stigma is also represented on social media.Aims: Characterize Twitter-based stigma and social support messaging ("tweets") about mental health/illness (MH)/MI and BD and determine which tweets garnered retweets.Methods: We collected tweets about MH/MI and BD during a three-month period and analyzed tweets from dates with the most tweets ("spikes"), an indicator of topic interest. A sample was manually content analyzed, and the remainder were classified using machine learning (logistic regression) by topic, stigma, and social support messaging. We compared stigma and support toward MH/MI versus BD and used logistic regression to quantify tweet features associated with retweets, to assess tweet reach.Results: Of the 1,270,902 tweets analyzed, 94.7% discussed MH/MI and 5.3% discussed BD. Spikes coincided with a celebrity's death and a MH awareness campaign. Although the sample contained more support than stigma messaging, BD tweets contained more stigma and less support than MH/MI tweets. However, stigma messaging was infrequently retweeted, and users often retweeted personal MH experiences.Conclusions: These findings demonstrate opportunities for social media advocacy to reduce stigma and increase displays of social support towards people living with BD.

Applying Multiple Data Collection Tools to Quantify Human Papillomavirus Vaccine Communication on Twitter.

BACKGROUND: Human papillomavirus (HPV) is the most common sexually transmitted infection in the United States. There are several vaccines that protect against strains of HPV most associated with cervical and other cancers. Thus, HPV vaccination has become an important component of adolescent preventive health care. As media evolves, more information about HPV vaccination is shifting to social media platforms such as Twitter. Health information consumed on social media may be especially influential for segments of society such as younger populations, as well as ethnic and racial minorities. OBJECTIVE: The objectives of our study were to quantify HPV vaccine communication on Twitter, and to develop a novel methodology to improve the collection and analysis of Twitter data. METHODS: We collected Twitter data using 10 keywords related to HPV vaccination from August 1, 2014 to July 31, 2015. Prospective data collection used the Twitter Search API and retrospective data collection used Twitter Firehose. Using a codebook to characterize tweet sentiment and content, we coded a subsample of tweets by hand to develop classification models to code the entire sample using machine learning procedures. We also documented the words in the 140-character tweet text most associated with each keyword. We used chi-square tests, analysis of variance, and nonparametric equality of medians to test for significant differences in tweet characteristic by sentiment. RESULTS: A total of 193,379 English-language tweets were collected, classified, and analyzed. Associated words varied with each keyword, with more positive and preventive words associated with "HPV vaccine" and more negative words associated with name-brand vaccines. Positive sentiment was the largest type of sentiment in the sample, with 75,393 positive tweets (38.99% of the sample), followed by negative sentiment with 48,940 tweets (25.31% of the sample). Positive and neutral tweets constituted the largest percentage of tweets mentioning prevention or protection (20,425/75,393, 27.09% and 6477/25,110, 25.79%, respectively), compared with only 11.5% of negative tweets (5647/48,940; P<.001). Nearly one-half (22,726/48,940, 46.44%) of negative tweets mentioned side effects, compared with only 17.14% (12,921/75,393) of positive tweets and 15.08% of neutral tweets (3787/25,110; P<.001). CONCLUSIONS: Examining social media to detect health trends, as well as to communicate important health information, is a growing area of research in public health. Understanding the content and implications of conversations that form around HPV vaccination on social media can aid health organizations and health-focused Twitter users in creating a meaningful exchange of ideas and in having a significant impact on vaccine uptake. This area of research is inherently interdisciplinary, and this study supports this movement by applying public health, health communication, and data science approaches to extend methodologies across fields.

User Engagement With Mood-Related Content on the National Cancer Institute Smokefree.Gov Initiative Cessation Resources.

AIMS: This study aimed to examine engagement with mood-related content on the Smokefree.gov Initiative's smoking cessation resources. METHODS: Smokefree.gov website analytics (July 2018-July 2019) were analyzed for user interactions with mood content on informational webpages and interactive self-assessment tools (mood quizzes, smoking quit plans). We also examined mood feature engagement (texting or pressing a command button for mood support) among text program and app users (July 2018-July 2019). RESULTS: Mood webpage views comprised 1.5% of all Smokefree.gov webpage views. Depression quizzes represented 82.9% of quiz completions, and stress quizzes represented 0.4% of quiz completions. Stress, anxiety, and low mood were the most reported smoking triggers on quit plans. Approximately 7,000 text program users and 3,000 app users sought real-time mood support. CONCLUSIONS: Given the importance of mood management in the smoking cessation process these findings demonstrate promising opportunities to increase the reach of mood support resources.

A qualitative study of online information-seeking preferences among cancer survivors.

PURPOSE: As the cancer survivor population increases, diminished health care provider capacity will place more responsibility on survivors to obtain health information. Many survivors search for cancer information online, yet there is a dearth of research on how survivors obtain and engage with this information. This study examined cancer survivors' information-seeking behaviors and perceptions during a self-guided online search task. METHODS: Ten adult cancer survivors (largely breast and thyroid) completed a task in which they searched for online cancer-related information of their choice. Participants were asked to verbally narrate the procedural aspects of the task and provide real-time responses to the search results and experiences related to the task. Transcripts were analyzed using a qualitative descriptive approach, and codes and themes were examined and interpreted. RESULTS: Participants searched primarily for information specific to their cancer type and stage, seeking personalized information about risk factors, prognosis, and treatments. Additionally, participants reported having to engage in excessive navigation to find relevant cancer information, citing aesthetic, usability, and credibility features of the websites that they considered barriers to obtaining this information. CONCLUSIONS: Survivors' online health information needs require streamlined cancer information resources that are disaggregated by cancer type, stage, and treatment course and located on websites with aesthetic and usability features that facilitate expedient searches for personally relevant cancer information. IMPLICATIONS FOR CANCER SURVIVORS: This study provides useful perspectives of cancer survivors that may inform the development of online cancer resources to better serve this population.

User Experiences With an SMS Text Messaging Program for Smoking Cessation: Qualitative Study.

BACKGROUND: Mobile health strategies for smoking cessation (eg, SMS text messaging-based interventions) have been shown to be effective in helping smokers quit. However, further research is needed to better understand user experiences with these platforms. OBJECTIVE: This qualitative study aims to explore the experiences of real-world users of a publicly available smoking cessation program (SmokefreeTXT). METHODS: Semistructured phone interviews were conducted with 36 SmokefreeTXT users between March and July 2014. Of these 36 participants, 50% (18/36) of participants completed the SmokefreeTXT program (ie, did not opt out of the program before the 6- to 8-week completion period), and 50% (18/36) did not complete the program (ie, requested to opt out of the program before the completion period). Interview questions focused on smoking behaviors, quitting history, opinions on the program's content and structure, answering assessment questions, using keywords, reasons for opting out, and perceived usefulness of the program for quitting smoking. A thematic content analysis was conducted, with a focus on themes to increase program engagement and optimization. RESULTS: The findings highlighted features of the program that participants found beneficial, as well as some elements that showed opportunities for improvement to boost program retention and successful cessation. Specifically, most participants found the SmokefreeTXT program to be convenient and supportive of cessation; however, some found the messages to be repetitive and reported a desire for more flexibility based on their readiness to quit and cessation progress. We also found that program completion did not necessarily indicate successful smoking cessation and that program opt out, which might be interpreted as a less positive outcome, may occur because of successful cessation. Finally, several participants reported using SmokefreeTXT together with other evidence-based cessation methods or non-evidence-based strategies. CONCLUSIONS: Qualitative interviews with real-world SmokefreeTXT users showed high program acceptability, engagement with program features, and perceived utility for smoking cessation. Our findings directly informed several program updates, such as adding an adaptive quit date feature and offering supplemental information on live support services for users who prefer human interaction during the cessation process. The study has implications for other digital tobacco cessation interventions and highlights important topics that warrant future research, such as the relationship between program engagement (eg, opt out and retention) and successful cessation.

"If I was to post something, it would be too vulnerable:" University students and mental health disclosures on instagram.

OBJECTIVE: Assess Instagram use for mental health disclosure in university students to assess the potential for Instagram use as mental health support-seeking. PARTICIPANTS: Twenty-one students using mental health services while attending a private, Mid-Atlantic university between 6/2017-12/2017. METHODS: Collected qualitative interview and Instagram data and analyzed them in parallel. Instagram data supplemented interview themes and were coded and analyzed quantitatively to define features of participants' Instagram use. RESULTS: Participants displayed aversions to posting mental health disclosures on Instagram, citing public and self-stigma as barriers to disclosure. Despite this, participants reported instances in which their Instagram posts directly or indirectly reflected their lived experiences. Some also maintained second anonymous accounts for fuller disclosure. CONCLUSIONS: Given the benefits of mental health disclosures to well-being and the predilection for social media use in university students, student and university-led initiatives to promote social media environments conducive to disclosures could have widespread mental health benefits.

Awareness of Alcohol and Cancer Risk and the California Proposition 65 Warning Sign Updates: A Natural Experiment.

In 1986, California enacted Proposition 65 (P65), requiring businesses to display warning signs informing consumers that specific chemicals and alcohol exposure increase the risk of cancer and reproductive harm. In 2018, the P65 alcohol warning signs were updated to include an informational P65 website link, and the update was associated with media coverage and increased enforcement of warning requirements. This study examines knowledge of the association between alcohol use and cancer risk in California compared to the rest of the US before and after the 2018 P65 update. We analyzed state-level data on alcohol and cancer knowledge from the Health Information National Trends Survey from 2017 (n = 3285), 2019 (n = 5438), and 2020 (n = 3865). We performed multinomial logistic regressions to examine knowledge levels by survey year and location (California vs. all other states) and reported the predicted marginals of knowledge by survey year and location. The adjusted prevalence of respondents who reported an association between alcohol and cancer risk was higher in California (41.6%) than the remaining states (34.1%) (p = 0.04). However, knowledge levels decreased significantly over survey years, and there was no evidence for an effect of the P65 update on knowledge in California compared to other states based on the testing of an interaction between state and year (p = 0.32). The 1986 warning signs may have had an enduring effect on awareness, though the update, so far, has not. Further efforts are needed to determine how to increase alcohol and cancer knowledge to address the burden of alcohol-attributable cancers.

Using Digital Technologies to Reach Tobacco Users Who Want to Quit: Evidence From the National Cancer Institute's Smokefree.gov Initiative.

The rapid growth of smartphone ownership and broadband access has created new opportunities to reach smokers with cessation information and support using digital technologies. These technologies can both complement and be integrated with traditional support modalities such as telephone quitlines and 1-on-1 clinical cessation counseling. The National Cancer Institute's Smokefree.gov Initiative provides free, evidence-based cessation support to the public through a multimodal suite of digital interventions, including several mobile-optimized websites, text messaging programs, and 2 mobile applications. In addition to digital resources directed at the general population, the Smokefree.gov Initiative includes population-specific resources targeted to adolescents, women, military veterans, Spanish speakers, older adults, and other populations. This paper describes the reach and use of the Smokefree.gov Initiative's resources over a 5-year period between 2014 and 2018, including how users interact with the program's digital content in ways that facilitate engagement with live counseling support. Use of Smokefree.gov Initiative resources has grown steadily over time; in 2018 alone, approximately 7-8 million people accessed Smokefree.gov Initiative web- and mobile-based resources. Smokefree.gov Initiative utilization data show that people take advantage of the full range of technology tools and options offered as part of the Smokefree.gov Initiative's multiplatform intervention. The Smokefree.gov Initiative experience suggests that offering different, complementary technology options to meet the needs and preferences of smokers has the potential to meaningfully expand the reach of cessation treatment.