Viewer Reactions to EVALI Storylines on Popular Medical Dramas: A Thematic Analysis of Twitter Messages.

Previous research has found an association between awareness of e-cigarette, or vaping, product-use associated lung injury (EVALI) and lower intention to use e-cigarettes among young people. This study utilized Twitter data to evaluate if the January 2020 depiction of EVALI on New Amsterdam, Chicago Med, and Grey's Anatomy-three popular primetime medical dramas-could be a potential innovative avenue to raise awareness of EVALI. We obtained tweets containing e-cigarette-related search strings from 1/21/2020 to 02/18/2020 and filtered these with storyline-specific keywords, resulting in 1,493 tweets for qualitative coding by two trained human coders. Content codes were informed by prior research, theories of narrative influence, and e-cigarette related outcomes. Of 641 (42.9%) relevant tweets, the most frequent content codes were perceived realism (n = 292, 45.6%) and negative response (n = 264, 41.2%). A common theme among these tweets was that storylines were unrealistic because none of the characters with EVALI used THC-containing products. Approximately 12% of tweets (n = 78) mentioned e-cigarette knowledge and 28 (4.4%) mentioned behavior, including quitting e-cigarettes because of viewing the storylines. Implications for health communication research utilizing social media data and maximizing the achievement of positive health-related outcomes for storylines depicting current health topics are discussed.

"Better Than Any DARE Program": Qualitative Analysis of Adolescent Reactions to EVALI Television Storylines.

Introduction. Research suggests that awareness of e-cigarette, or vaping, product-use associated lung injury (EVALI) among adolescents is associated with increased harm perception of e-cigarettes. The depiction of EVALI on three primetime medical dramas offers an opportunity to examine the use of these storylines for tobacco prevention education. Methods. We conducted four focus groups with seventh- and eighth-grade students at an urban middle school. Participants viewed three clips of scenes followed by a facilitated discussion as to the influence of the clips on knowledge and perceptions of e-cigarettes and the use of clips for tobacco prevention education. Two research assistants double-coded notes from the focus groups using a qualitative content analysis approach. Results. Our final sample included 78 adolescents; we obtained self-reported demographic information for 75. The majority of participants were 13 to 14 years of age (82.7%) and identified as cisgender female (52.0%) and Black (52.0%). No participants had knowledge of EVALI prior to viewing the clips. Comments made both during and after watching suggest the clips may have reinforced knowledge and perceptions of harm; participants stated that the clips could be a useful intervention tool. Viewing the clips also generated unprompted discussion about flavored products, tobacco advertising, other television programs, and marijuana. Conclusions. Clips featuring the depiction of EVALI on medical dramas may be an effective tool for raising awareness of e-cigarette use-related harms. These results offer a promising first step for future collaborative research between public health, adolescents, and schools to develop tobacco prevention education utilizing these clips.

Living in an online world: Social media experiences of adolescents and young adults with cancer.

BACKGROUND: Despite widespread use, little is known about how adolescents and young adults (AYA) with cancer use social media (SM). This research characterized use and self-reported SM experiences among AYA with cancer. PROCEDURE: AYA, aged 12-26 years, receiving cancer care completed a mixed-methods survey regarding SM experiences. Clinical information was obtained from the electronic medical record. Data were analyzed with descriptive statistics, t tests, and qualitative content analysis. RESULTS: Thirty-nine AYA with average age 16 (SD = 3.2) years participated. Most were Caucasian (92%) males (54%). Participants had leukemia/lymphoma (56%), solid tumors (33%), and brain tumors (10%). Nearly all (97%) used SM, with YouTube, Snapchat, and Instagram being the most popular. AYA self-reported lower SM use than their smartphone data indicated (2.8 hours/day, SD = 1.2 vs 3.4 hours/day, SD = 1.3; P < 0.001). Participants used SM to obtain information about their cancer (45%), post about cancer (47%), and read about others' cancer experience (50%). One-third made a friend with cancer through SM (32%). Qualitative results indicated that AYA had positive cancer-related SM experiences, including feelings of support (54%), community (27%), distraction (8%), and inspiration (8%). Most denied negative experiences (78%); however, 17% reported cyberbullying related to cancer. CONCLUSIONS: AYA with cancer avidly use SM, noting it provides a sense of support and community. However, one-sixth reported cancer-related cyberbullying. AYA oncology providers have an opportunity to enhance positive and blunt negative SM interactions by addressing and guiding SM use in AYA patients.

COVID-19 Vaccine Hesitancy, Acceptance, and Promotion Among Healthcare Workers: A Mixed-Methods Analysis.

Even with vaccine mandates, COVID-19 vaccine hesitancy remains a concern among healthcare workers, in part due to their role in promoting vaccination among patients and communities. To examine COVID-19 vaccine hesitancy, acceptance, and promotion among healthcare workers, we conducted a mixed-methods analysis of (1) survey responses about COVID-19 vaccination and (2) Twitter messages (i.e., tweets) relevant to COVID-19 vaccination and healthcare. A total of 540 hospital employees completed the survey. Those that completed less than 80% of the survey or did not endorse employment at the hospital were excluded, resulting in a total of 511 valid responses; 93.2% reported receiving at least one dose of a COVID-19 vaccine. Approximately 1/3 of vaccinated individuals indicated they posted about receiving the vaccine on social media. Simultaneously, we analyzed a sample of 3845 tweets; 2299 (60%) were relevant to COVID-19 vaccination and 1863 (81%) were coded as authored by an individual. Of tweets authored by an individual, 6% (n = 106) were authored by a healthcare provider/health sciences student. Among relevant tweets, the most frequent code across all sentiment categories was related to the pharmaceutical industry (n = 529 tweets, 28%; n = 33, 31% of tweets authored by healthcare workers). Triangulation of results found themes including vaccine access, trust, and vaccine safety or negative health impacts. Results suggest that promoting the sharing of COVID-19 vaccine personal narratives on social media, combined with interventions targeting specific reasons for COVID-19 vaccine hesitancy and emphasizing freedom from fear once vaccinated could be effective at reducing COVID-19 vaccine hesitancy among this population.

"It Encourages Family Discussion": A Mixed-Methods Examination of the This Is Us Alzheimer's Disease & Caregiving Storyline.

The average United States (U.S.) adult spends approximately one hour interacting directly with a healthcare professional but 2,000 hours watching primetime television annually. Thus, television storylines may be a powerful vehicle for promoting awareness about Alzheimer's disease and caregiving, which affect an estimated 9 million U.S. adults. We used a mixed-methods approach consisting of an online survey of U.S. adult This Is Us viewers (n = 720) and 4 focus groups (n = 12) with a subset of survey respondents to systematically assess viewer perceptions of an Alzheimer's disease and caregiving storyline from the This Is Us television show and the storyline's influence on viewer behavioral intent toward planning for aging. Triangulation of survey and focus group results suggests the storyline may motivate viewers to discuss plans for aging with their family because of a reduction in stigma and seeing on-screen family tensions related to senior care. Results suggest investments in collaborative partnerships between public health and the entertainment industry may be a valuable way to positively impact those affected by Alzheimer's disease and caregiving. Clips from this storyline could also be used as part of health communication campaigns to encourage advanced care planning discussions.

Puff Bars, Tobacco Policy Evasion, and Nicotine Dependence: Content Analysis of Tweets.

BACKGROUND: Puff Bars are e-cigarettes that continued marketing flavored products by exploiting the US Food and Drug Administration exemption for disposable devices. OBJECTIVE: This study aimed to examine discussions related to Puff Bar on Twitter to identify tobacco regulation and policy themes as well as unanticipated outcomes of regulatory loopholes. METHODS: Of 8519 original tweets related to Puff Bar collected from July 13, 2020, to August 13, 2020, a random 20% subsample (n=2661) was selected for qualitative coding of topics related to nicotine dependence and tobacco policy. RESULTS: Of the human-coded tweets, 2123 (80.2%) were coded as relevant to Puff Bar as the main topic. Of those tweets, 698 (32.9%) discussed tobacco policy, including flavors (n=320, 45.9%), regulations (n=124, 17.8%), purchases (n=117, 16.8%), and other products (n=110, 15.8%). Approximately 22% (n=480) of the tweets referenced dependence, including lack of access (n=273, 56.9%), appetite suppression (n=59, 12.3%), frequent use (n=47, 9.8%), and self-reported dependence (n=110, 22.9%). CONCLUSIONS: This study adds to the growing evidence base that the US Food and Drug Administration ban of e-cigarette flavors did not reduce interest, but rather shifted the discussion to brands utilizing a loophole that allowed flavored products to continue to be sold in disposable devices. Until comprehensive tobacco policy legislation is developed, new products or loopholes will continue to supply nicotine demand.

Using Fictional Medical Television Programs to Teach Interprofessional Communication to Graduating Fourth-Year Medical Students.

OBJECTIVES: Effective interprofessional (IP) communication is crucial to high-quality patient care, but significant obstacles remain regarding implementing IP communication curricula for undergraduate medical students. As such, as part of a bootcamp required for University of Pittsburgh graduating medical students in 2021, we developed and evaluated a workshop using clips from medical television shows (eg, ER) to teach IP communication skills. METHODS: The workshop was hosted on Zoom videoconferencing software and evaluated using pre- and postcurricular surveys that included adapted Communication Skills Attitude Scale (CSAS) and Student Perceptions of Interprofessional Clinical Education-Revised (SPICE-R) instruments. The postcurricular survey also included two open-ended items. We used Wilcoxon signed-rank tests to compare pre- and postcurricular CSAS and SPICE-R scores and used thematic analysis for qualitative data. RESULTS: Approximately 94% (n = 105) of assigned students attended the workshop. Comparison of pre- and postcurricular means for all CSAS and SPICE-R items indicated improvements in attitudes toward communication training and IP communication, with statistically significant (P < 0.05) changes for 4 of 10 (40%) CSAS items and 8 of 10 (80%) SPICE-R items. Thematic analysis of open-ended items suggests that the workshop is acceptable to students and may be efficacious at improving both their IP communication skills and skills related to addressing equity and bias. CONCLUSIONS: Results suggest that using clips from fictional medical television programs may be a valuable approach to teaching graduating medical students IP communication skills. Future research could examine whether improved attitudes are sustained over time and the influence of the workshop on clinical IP communication behavior.

E-Cigarette-Related Nicotine Misinformation on Social Media.

Background. Twitter provides an opportunity to examine misperceptions about nicotine and addiction as they pertain to electronic nicotine delivery systems (ENDS). The purpose of this study was to systematically examine a sample of ENDS-related tweets that presented information about nicotine or addiction for the presence of potential misinformation.Methods. A total of 10.1 million ENDS-related tweets were obtained from April 2018 through March 2019 and were filtered for unique tweets containing keywords for nicotine and addiction. A subsample (n = 3,116) were human coded for type of account (individual, group, commercial, or news) and presence of potential misinformation.Results. Of tweets that presented ENDS-related nicotine or addiction information (n = 904), 41.7% (n = 377) contained potential misinformation coded as anti-vaping exaggeration, pro-vaping exaggeration, nicotine is not addictive or is never harmful, or unproven health benefits.Conclusions. Anti-vaping exaggeration tweets distorted or embellished claims about ENDS nicotine and addiction; pro-vaping exaggeration tweets misinterpreted results from scientific studies. Misinformation that nicotine is not addictive or is never harmful or has unproven health benefits appeared less but are potentially problematic. ENDS-related messaging should be designed to be easily understood by the public and monitored to detect the spread of misinterpretation or misinformation on social media.

From Vaccines to Vitality: The Progression of a Community-Academic Collaboration.

In this practice note, we document the progression of the Community Vaccine Collaborative (CVC), on which we first published in 2021. The CVC convened to address deep COVID-19-related disparities affecting the Black, Latine, immigrant/refugee, and lesbian, gay, bisexual, transgender, queer, (questioning), intersex, asexual, and (agender) (LGBTQIA+) communities. The COVID-19 pandemic is rooted in centuries of oppression and marginalization leading to inequities and required dedicated focus to support marginalized communities in times of crisis. The CVC comprises community members, community-based organizations, health care providers, researchers, health systems leaders, and public health practitioners (among others), all of whom are dedicated to promoting COVID-19 vaccine equity. As the pandemic shifts and changes, so too has our group, to remain relevant to community needs and priorities. This article details Year 2 of the CVC, focusing on how we have grown and sustained this unique partnership. We also share results from an evaluation of the CVC, documenting participation in the collaborative space and alignment with CVC core principles. Finally, we discuss next steps and implications for the CVC including our pivot from vaccines to community vitality as we expand and sustain our collaborative efforts to address the ongoing COVID-19 pandemic and intersecting public health crises.

Re-evaluating standards of human subjects protection for sensitive health data in social media networks.

This study addresses ethical questions about conducting health science research using network data from social media platforms. We provide examples of ethically problematic areas related to participant consent, expectation of privacy, and social media networks. Further, to illustrate how researchers can maintain ethical integrity while leveraging social media networks, we describe a study that demonstrates the ability to use social media to identify individuals affected by cancer. We discuss best practices and ethical guidelines for studying social media network data, including data collection, analysis, and reporting.

Patient-centered Communication Behaviors on Primetime Television.

Previous research suggests that television programming may influence viewers' health-related knowledge, perceptions, and behaviors but has yet to examine patient-provider interactions on the most popular primetime television programs. We aimed to characterize the frequency and nature of patient-centered communication (PCC) behaviors on these programs, as cultivation and social cognitive theories suggest that these depictions may influence viewers' expectations of real-life health-care experiences. We examined 203 patient-provider interactions across 84 episodes of 22 primetime television programs-both medical and non-medical-that aired during the spring of 2016 and spring of 2017. Each interaction was analyzed for the presence of 21 optimal PCC behaviors. This study found that the most frequently observed PCC behaviors focused on the provider making good eye contact and displaying good manners. However, PCC behaviors related to managing patient uncertainty and self-management were rare. Overall, providers in medical programs were significantly more likely to exhibit certain PCC behaviors, such as asking a patient questions, having good manners, and self-disclosing personal information, compared to providers in non-medical programs. Implications of these findings include the potential for such depictions to influence patient expectations of real-life experiences and health outcomes. Future research is needed to examine these potential influences.

Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study.

BACKGROUND: Twitter presents a valuable and relevant social media platform to study the prevalence of information and sentiment on vaping that may be useful for public health surveillance. Machine learning classifiers that identify vaping-relevant tweets and characterize sentiments in them can underpin a Twitter-based vaping surveillance system. Compared with traditional machine learning classifiers that are reliant on annotations that are expensive to obtain, deep learning classifiers offer the advantage of requiring fewer annotated tweets by leveraging the large numbers of readily available unannotated tweets. OBJECTIVE: This study aims to derive and evaluate traditional and deep learning classifiers that can identify tweets relevant to vaping, tweets of a commercial nature, and tweets with provape sentiments. METHODS: We continuously collected tweets that matched vaping-related keywords over 2 months from August 2018 to October 2018. From this data set of tweets, a set of 4000 tweets was selected, and each tweet was manually annotated for relevance (vape relevant or not), commercial nature (commercial or not), and sentiment (provape or not). Using the annotated data, we derived traditional classifiers that included logistic regression, random forest, linear support vector machine, and multinomial naive Bayes. In addition, using the annotated data set and a larger unannotated data set of tweets, we derived deep learning classifiers that included a convolutional neural network (CNN), long short-term memory (LSTM) network, LSTM-CNN network, and bidirectional LSTM (BiLSTM) network. The unannotated tweet data were used to derive word vectors that deep learning classifiers can leverage to improve performance. RESULTS: LSTM-CNN performed the best with the highest area under the receiver operating characteristic curve (AUC) of 0.96 (95% CI 0.93-0.98) for relevance, all deep learning classifiers including LSTM-CNN performed better than the traditional classifiers with an AUC of 0.99 (95% CI 0.98-0.99) for distinguishing commercial from noncommercial tweets, and BiLSTM performed the best with an AUC of 0.83 (95% CI 0.78-0.89) for provape sentiment. Overall, LSTM-CNN performed the best across all 3 classification tasks. CONCLUSIONS: We derived and evaluated traditional machine learning and deep learning classifiers to identify vaping-related relevant, commercial, and provape tweets. Overall, deep learning classifiers such as LSTM-CNN had superior performance and had the added advantage of requiring no preprocessing. The performance of these classifiers supports the development of a vaping surveillance system.

Waterpipe tobacco use in college and non-college young adults in the USA.

BACKGROUND: Waterpipe tobacco smoking (WTS or 'hookah') is common among adolescents and college students in the USA. However, there has not yet been a large-scale, nationally representative study independently examining WTS among young adults who are not in college. OBJECTIVE: This study sought to examine associations between attitudes, normative beliefs, certain socio-demographic factors and current WTS among young adults not in college and compare them to young adults in college. METHODS: A total of 3131 US adults ages 18-30 completed an online survey about WTS behaviour, attitudes, normative beliefs and relevant socio-demographic factors. Multivariable logistic regression was used to examine independent associations between these variables and current WTS stratified by student status. RESULTS: Ever WTS was reported by 29% of young adults not in college and by 35% of those in college, and current use rates were 3 and 7%, respectively. Multivariable models demonstrated that positive attitudes and perceived peer acceptability of WTS were significantly associated with increased current WTS for both young adults not in college [adjusted odds ratio (AOR) = 2.72; 95% CI: 2.00-3.71 and AOR = 2.02; 95% CI: 1.50-2.71, respectively] and young adults in college (AOR = 3.37; 95% CI: 2.48-4.58 and AOR = 2.05; 95% CI: 1.49-2.83, respectively). The magnitude of these associations was not significantly different when comparing individuals in college and not in college. CONCLUSIONS: Among young adults, WTS is common in non-college-based populations as well as in college-based populations. Therefore, prevention programming should extend to all young adults, not only to those in college.

The association between valence of social media experiences and depressive symptoms.

BACKGROUND: Social media (SM) may confer emotional benefits via connection with others. However, epidemiologic studies suggest that overall SM is paradoxically associated with increased depressive symptoms. To better understand these findings, we examined the association between positive and negative experiences on SM and depressive symptoms. METHODS: We conducted a cross-sectional survey of 1,179 full-time students at the University of West Virginia, aged 18 to 30, in August 2016. Independent variables were self-reported positive and negative experiences on SM. The dependent variable was depressive symptoms as measured using the Patient-Reported Outcomes Measurement Information System. We used multivariable logistic regression to assess associations between SM experiences and depressive symptoms controlling for sociodemographic factors including age, sex, race/ethnicity, education, relationship status, and living situation. RESULTS: Of the 1,179 participants, 62% were female, 28% were non-White, and 51% were single. After controlling for covariates, each 10% increase in positive experiences on SM was associated with a 4% decrease in odds of depressive symptoms, but this was not statistically significant (adjusted odds ratio [AOR] = 0.96; 95% confidence interval [CI] = 0.91-1.002). However, each 10% increase in negative experiences was associated with a 20% increase in odds of depressive symptoms (AOR = 1.20; 95% CI = 1.11-1.31). When both independent variables were included in the same model, the association between negative experiences and depressive symptoms remained significant (AOR = 1.19, 95% CI = 1.10-1.30). CONCLUSIONS: Negative experiences online may have higher potency than positive ones because of negativity bias. Future research should examine temporality to determine if it is also possible that individuals with depressive symptomatology are inclined toward negative interactions.

Comparison of toxicant load from waterpipe and cigarette tobacco smoking among young adults in the USA.

OBJECTIVES: To form population-level comparisons of total smoke volume, tar, carbon monoxide and nicotine consumed from waterpipe tobacco smoking (WTS) and cigarette smoking using data from a nationally representative sample of smokers and non-smokers aged 18-30 years. METHODS: In March and April 2013, we surveyed a nationally representative sample of 3254 US young adults to assess the frequency and volume of WTS and cigarette smoking. We used Monte Carlo analyses with 5000 repetitions to estimate the proportions of toxicants originating from WTS and cigarette smoking. Analyses incorporated survey weights and used recent meta-analytic data to estimate toxicant exposures associated with WTS and cigarette smoking. RESULTS: Compared with the additive estimates of WTS and cigarette smoking combined, 54.9% (95% CI 37.5% to 72.2%) of smoke volume was attributed to WTS. The proportions of tar attributable to WTS was 20.8% (95% CI 6.5% to 35.2%), carbon monoxide 10.3% (95% CI 3.3% to 17.3%) and nicotine 2.4% (95% CI 0.9% to 3.8%). CONCLUSIONS: WTS accounted for over half of the tobacco smoke volume consumed among young US adult waterpipe and cigarette smokers. Toxicant exposures to tar, carbon monoxide and nicotine were lower, but still substantial, for WTS alone compared with WTS and cigarette smoking. Public health and policy interventions to reduce harm from tobacco smoking in young US adults should explicitly address WTS toxicant exposures.

The association between social media use and sleep disturbance among young adults.

INTRODUCTION: Many factors contribute to sleep disturbance among young adults. Social media (SM) use is increasing rapidly, and little is known regarding its association with sleep disturbance. METHODS: In 2014 we assessed a nationally representative sample of 1788 U.S. young adults ages 19-32. SM volume and frequency were assessed by self-reported minutes per day spent on SM (volume) and visits per week (frequency) using items adapted from the Pew Internet Research Questionnaire. We assessed sleep disturbance using the brief Patient-Reported Outcomes Measurement Information System (PROMIS®) sleep disturbance measure. Analyses performed in Pittsburgh utilized chi-square tests and ordered logistic regression using sample weights in order to estimate effects for the total U.S. RESULTS: In models that adjusted for all sociodemographic covariates, participants with higher SM use volume and frequency had significantly greater odds of having sleep disturbance. For example, compared with those in the lowest quartile of SM use per day, those in the highest quartile had an AOR of 1.95 (95% CI=1.37-2.79) for sleep disturbance. Similarly, compared with those in the lowest quartile of SM use frequency per week, those in the highest quartile had an AOR of 2.92 (95% CI=1.97-4.32) for sleep disturbance. All associations demonstrated a significant linear trend. DISCUSSION: The strong association between SM use and sleep disturbance has important clinical implications for the health and well-being of young adults. Future work should aim to assess directionality and to better understand the influence of contextual factors associated with SM use.

ASSOCIATION BETWEEN SOCIAL MEDIA USE AND DEPRESSION AMONG U.S. YOUNG ADULTS.

BACKGROUND: Social media (SM) use is increasing among U.S. young adults, and its association with mental well-being remains unclear. This study assessed the association between SM use and depression in a nationally representative sample of young adults. METHODS: We surveyed 1,787 adults ages 19 to 32 about SM use and depression. Participants were recruited via random digit dialing and address-based sampling. SM use was assessed by self-reported total time per day spent on SM, visits per week, and a global frequency score based on the Pew Internet Research Questionnaire. Depression was assessed using the Patient-Reported Outcomes Measurement Information System (PROMIS) Depression Scale Short Form. Chi-squared tests and ordered logistic regressions were performed with sample weights. RESULTS: The weighted sample was 50.3% female and 57.5% White. Compared to those in the lowest quartile of total time per day spent on SM, participants in the highest quartile had significantly increased odds of depression (AOR = 1.66, 95% CI = 1.14-2.42) after controlling for all covariates. Compared with those in the lowest quartile, individuals in the highest quartile of SM site visits per week and those with a higher global frequency score had significantly increased odds of depression (AOR = 2.74, 95% CI = 1.86-4.04; AOR = 3.05, 95% CI = 2.03-4.59, respectively). All associations between independent variables and depression had strong, linear, dose-response trends. Results were robust to all sensitivity analyses. CONCLUSIONS: SM use was significantly associated with increased depression. Given the proliferation of SM, identifying the mechanisms and direction of this association is critical for informing interventions that address SM use and depression.

Social Media Use and Perceived Emotional Support Among US Young Adults.

Low emotional support is associated with poor health outcomes. Engagement with face-to-face social networks is one way of increasing emotional support. However, it is not yet known whether engagement with proliferating electronic social networks is similarly associated with increased emotional support. Thus, the purpose of this study was to assess associations between social media use and perceived emotional support in a large, nationally-representative sample. In October 2014, we collected data from 1796 U.S. adults ages 19-32. We assessed social media use using both total time spent and frequency of visits to each of the 11 most popular social media platforms. Our dependent variable was perceived emotional support as measured by the brief Patient-Reported Outcomes Measurement Information System (PROMIS) emotional support scale. A multivariable model including all sociodemographic covariates and accounting for survey weights demonstrated that, compared with the lowest quartile of time on social media, being in the highest quartile (spending two or more hours per day) was significantly associated with decreased odds of having higher perceived emotional support (AOR 0.62, 95 % CI 0.40, 0.94). However, compared with those in the lowest quartile, being in the highest quartile regarding frequency of social media use was not significantly associated with perceived emotional support (AOR 0.70, 95 % CI 0.45, 1.09). In conclusion, while the cross-sectional nature of these data hinder inference regarding directionality, it seems that heavy users of social media may actually feel less and not more emotional support.

Water pipe steam stones: familiarity and use among US young adults.

INTRODUCTION: Water pipe tobacco smoking (WTS) is associated with substantial toxicant exposure. Water pipe steam stones (WSS) are marketed as a healthier alternative. The purpose of this study was to determine, in a nationally representative sample, young adults' familiarity with, perceptions regarding, and use of WSS. METHODS: A survey about WTS was completed by 3,253 members of an online nonvolunteer access panel. Four items specifically addressed WSS. RESULTS: Of the 228 individuals who had heard of WSS, 17% (n = 41) reported using them. Use was associated with ever (adjusted odds ratio [AOR] = 7.7, 95% confidence interval [CI] = 2.7-21.8) and current (AOR = 16.1, 95% CI = 5.1-51.5) WTS. Compared with those who thought that WSS had about the same harm as WTS, those who thought that WSS was "a lot less harmful" to a person's health had substantially higher odds of having tried WSS (AOR = 6.8, 95% CI = 2.0-23.1). CONCLUSIONS: Approximately 1 in 6 young adults who have heard of WSS used them. WSS use is associated with the perception of reduced harm.

Knowledge, attitudes, and normative beliefs as predictors of hookah smoking initiation: a longitudinal study of university students.

INTRODUCTION: While cross-sectional studies have shown that hookah tobacco smoking (HTS) is an increasingly popular behavior among university students, little is known about factors associated with initiation. This study sought to determine associations between knowledge, attitudes, and normative beliefs and initiation of HTS among university students. METHODS: Data were from a prospective longitudinal cohort study of 569 randomly selected first- and second-year university students. Online questionnaires that were developed in accordance with our composite theoretical model were completed in September 2010 and April 2011. RESULTS: About one-seventh (13%) of participants initiated HTS by follow-up. Positive attitudes and favorable normative beliefs were associated with increased adjusted odds of initiation (AOR = 4.12, 95% CI = 2.56, 6.59; and AOR = 2.01, 95% CI = 1.35, 2.99, respectively), while negative attitudes were associated with decreased adjusted odds (AOR = 0.62, 95% CI = 0.48, 0.80). Correct knowledge regarding toxicants associated with HTS was not significantly associated with initiation. CONCLUSIONS: While positive attitudes and favorable normative beliefs are associated with initiation of HTS in a cohort of never-users, increased knowledge about toxins is not associated with lower initiation. It may be particularly valuable for educational interventions to attempt to alter positive attitudes and normative beliefs related to HTS.