How Does Social Media Exposure and Engagement Influence College Students' Use of ENDS Products? A Cross-lagged Longitudinal Study

Differentiating the associations of passive and active social media use with e-cigarette use among U.S. youth

PURPOSE

The impacts of passive (i.e., browsing) versus active (i.e., engagement) use of social media on e-cigarette use among youth have been understudied in existing literature. This study examines how passive and active use of social media are differentially associated with e-cigarette use among youth and how risk perceptions mediate these associations.

METHODS

Pooled data from the 2021 and 2022 National Youth Tobacco Survey (N=48,704, aged 11-19) were used. Weighted structural equation models were employed to estimate the associations between passive and active social media use and youth e-cigarette use.

RESULTS

Both passive and active social media use were associated with higher odds and more days of e-cigarette use among youth. E-cigarette risk perceptions mediated the associations between active use and both the likelihood of ever using e-cigarettes and the number of days of use. Risk perceptions mediated the association between active, but not passive, use and the number of days of e-cigarette use. Compared to passive use, active use was overall associated with higher odds and more days of youth e-cigarette use.

DISCUSSION

The findings suggest that public health efforts should distinguish between passive and active social media use when designing and executing interventions. Attention and efforts should also be directed towards understanding the distinct indirect effects of passive and active social media use through risk perceptions. These findings advance our theoretical understanding of the role of different types of social media use and offer significant practical insights for interventions.

Exposure to e-cigarette and heated tobacco product advertisements via digital, traditional media, and points-of-sale: An examination of associations with use intentions and perceived risk among adults in Armenia and Georgia

INTRODUCTION

E-cigarette and heated tobacco product (HTP) marketing often leverages digital media and points-of-sale (POS) and advertises risk reduction, including in Armenia and Georgia where male cigarette use rates are high.

METHODS

Using 2022 survey data from Armenian and Georgian adults (n=1468, mean age=42.92 years, 51.4% female; and past-month use of e-cigarettes 3.2%, HTPs 2.7%, and cigarettes 31.6%), multivariable linear regression examined 4 outcomes - e-cigarette and HTP use intentions and perceived risk (1=not at all, to 7=extremely) - in relation to past-month e-cigarette or HTP advertisement exposure via digital media, traditional media, and POS, controlling for covariates (country, age, gender, education level, relationship status, children, past-month cigarette and e-cigarette/HTP use).

RESULTS

E-cigarette and HTP use intentions were low (mean score=1.47, SD=1.39 each), while perceived risk was high (mean score=5.83, SD=1.6, and mean score=5.87, SD=1.56, respectively). Past-month exposure to e-cigarette and HTP advertisements, respectively, were 12.9% and 11.2% via digital media, 6.1% and 4.8% traditional media, and 22.5% and 21.1% POS. For e-cigarettes, ad exposure via digital media was associated with greater use intentions (β=0.24; 95% CI: 0.03-0.44), ad exposure via traditional media (β= -0.32; 95% CI: -0.55 - -0.09) and POS (β= -0.30; 95% CI: -0.60 - -0.004) was associated with lower risk perceptions. For HTPs, ad exposure via digital media (β=0.35; 95% CI: 0.14-0.56) and POS (β=0.21; 95% CI: 0.04-3.63) was associated with greater use intentions, and ad exposure at POS was associated with lower risk perceptions (β= -0.23; 95% CI: -0.42 - -0.03).

CONCLUSIONS

Tobacco control efforts should monitor and regulate e-cigarette and HTP marketing, particularly via digital media which may effectively promote use, and via POS which may target and influence risk perceptions.

Associations between social media engagement and young adults' subsequent onset of ENDS dependence symptoms one year later

BACKGROUND

Young adults are more vulnerable than older adults to engagement with online tobacco marketing and to the use of electronic nicotine delivery systems (ENDS) products. Our study examined the longitudinal associations between engagement with pro- and anti-tobacco information on social media (SM) and young adults' subsequent onset of symptoms of dependence on ENDS products one year later, which remain unclear.

METHODS

Participants were college students in the Marketing and Promotions Across Colleges in Texas study. We analyzed data collected in spring 2018 (wave 8, baseline) and spring 2019 (wave 9), which involves 1,764 college students (Mean age = 24.48, 34.8% White) who reported having ever used any ENDS products but no ENDS dependence symptoms at baseline. Logistic regression analyses were conducted to examine the associations between pro- and anti-engagement with tobacco information at baseline and onset of ENDS dependence symptoms at one-year follow-up, controlling for baseline sociodemographic characteristics and tobacco smoking status. We also examined participant sex and depressive symptoms as moderators of the aforementioned associations.

RESULTS

Engagement with both pro- (Odds Ratio = 1.73, p < 0.05) and anti- (Odds Ratio = 1.36, p < 0.05) tobacco information at baseline predicted the subsequent onset of symptoms of dependence on ENDS products one year later. The association between pro-engagement and subsequent onset of ENDS dependence symptoms was stronger among females than males (Exp(β) = 3.21, p < 0.05). Depressive symptomology did not moderate any of the associations.

CONCLUSIONS

Findings suggest that engaging with tobacco information on SM, regardless of its valence, serves as a risk factor for the development of subsequent dependence symptoms among young adult ever ENDS users. Considering the uncertainty of ENDS products' health effects, regulation of SM is encouraged to reduce young adults' (re)posting thoughts or comments about the advantages of ENDS products.

Exposure to user-generated e-cigarette content on social media associated with greater vulnerability to e-cigarette use among youth non-users

INTRODUCTION

Social media are important venues for youth's exposure to e-cigarette content. This study examined how exposure to user-generated e-cigarette content (i.e., content created and shared by individual social media users) is associated with vulnerabilities to e-cigarette use among youth non-users.

METHODS

We pooled data from the 2021 and 2022 National Youth Tobacco Survey. Youth who have never used e-cigarettes were included. Weighted linear and logistic regressions were conducted to examine how exposure to user-generated e-cigarette content (from real-life friends, online-only friends, and celebrities/influencers) on social media was associated with e-cigarette use vulnerabilities measured by perceived norms, perceived risk, and susceptibility of use, controlling for demographics, advertising exposure, and mental health conditions. Multiple imputations were performed to account for missing data.

RESULTS

Exposure to e-cigarette content on social media posted by real-life friends, online-only friends, and celebrities/influencers were associated with more positive descriptive norm (βs = 1.56, 0.37, and 0.35, respectively, all ps < .001), more positive injunctive norm (βs = 0.46, 0.19, and 0.10, respectively, all ps < .001), and higher odds of e-cigarette use susceptibility (ORs = 1.48, 1.50. 1.29, respectively, all ps < .001). Exposure to content posted by real-life and online-only friends were associated with reduced risk perception of e-cigarette use (β = -0.04, p < 0.05 and β = -0.07, p < 0.001).

CONCLUSIONS

Our study highlighted that friends and celebrities/influencers are important sources on social media that can influence youth non-users' vulnerabilities to e-cigarette use. Interventional messages communicated through friends and influencers on social media may in turn help reduce e-cigarette vulnerability among youth non-users.

Characteristics of Adolescents' and Young Adults' Exposure to and Engagement with Nicotine and Tobacco Product Content on Social Media

To inform policy and messaging, this study examined characteristics of adolescents' and young adults' (AYAs') exposure to and engagement with nicotine and tobacco product (NTP) social media (SM) content. In this cross-sectional survey study, AYAs aged 13-26 (N=1,163) reported current NTP use, SM use frequency, and exposure to and engagement with SM content promoting and opposing NTP use (i.e. frequency, source[s], format[s], platform[s]). Participants who used NTPs (vs. did not use) were more likely to report having seen NTP content (p-values<.001). Prevalent sources were companies/brands (46.6%) and influencers (44.4%); prevalent formats were video (65.4%) and image (50.7%). Exposure to content promoting NTP use was prevalent on several popular platforms (e.g. TikTok, Instagram, Snapchat); exposure to content opposing NTP use was most prevalent on YouTube (75.8%). Among those reporting content engagement (i.e. liking, commenting on, or sharing NTP content; 34.6%), 57.2% engaged with influencer content. Participants reported engaging with content promoting and opposing NTP use on popular platforms (e.g. TikTok, Instagram, YouTube). Participants with (versus without) current NTP use were significantly more likely to use most SM platforms and to report NTP content exposure and engagement (p-values<.05). Results suggest that NTP education messaging and enforcement of platforms' content restrictions are needed.

Understanding the Associations Between Adolescents' Exposure to E-Cigarette Information and Vaping Behavior Through the Theory of Planned Behavior

Adolescents have actively looked for and passively scanned information about electronic cigarettes (e-cigarettes) from a variety of media and interpersonal sources. Despite the evidence that exposure to e-cigarette information is associated with youth's increased vaping intention, there is a paucity of scholarship that differentiates the sources where adolescents obtain e-cigarette information in their investigation, which limits our understanding of the unique association between vaping intention and e-cigarette information acquisition from specific sources. In addition, few studies have systematically examined the mechanism of the aforementioned associations. To fill the gap, an online national survey on a panel of adolescents between 13 to 17 years old was conducted. After controlling for potential confounders, several significant indirect effects were observed. Specifically, adolescents' vaping intention was negatively associated with e-cigarette information seeking from health professionals but positively with e-cigarette information exposure from family and friends, outdoors advertisements, social media, and other online channels, with the theory of planned behavior (TPB) constructs mediating these relationships. The findings not only contribute to the body of scholarship on TPB but also provide important suggestions for regulating outdoor and online e-cigarette information and designing persuasive interventions and campaigns.

Cumulative Exposure to E-Cigarette Coupons and Changes in E-Cigarette Use Among U.S. Adults

INTRODUCTION

Coupons are an effective, frequently used tobacco marketing strategy. This study examined prospective associations between cumulative exposure to e-cigarette coupons and changes in e-cigarette use among U.S. adults.

METHODS

Data were from a representative U.S. adult cohort (n=19,824) in the Population Assessment of Tobacco and Health Study (waves [W] 2, 3, 4, and 5), collected from October 2014 to November 2019. Analysis was conducted in 2022. Four logistic regression models examined associations of a number of waves for which participants received e-cigarette coupons during W2-W4 with changes in e-cigarette use: W2 never use to W5 current use (initiation); W2 current nondaily use to W5 daily use (progression); W2 current use to W5 former use (cessation), and W2 former use to W5 current use (return-to-use).

RESULTS

Overall, 66.1% of U.S. adults never used e-cigarettes, 10.6% currently used e-cigarettes, and 23.4% formerly used e-cigarettes at W2. The average number of waves for which participants received e-cigarette coupons during W2-W4 was 0.13: 0.10 among W2 individuals who never used e-cigarettes, 0.30 among individuals who currently used e-cigarettes on a nondaily basis, 0.50 among individuals who currently used e-cigarettes, and 0.17 among individuals who formerly used e-cigarettes. Receiving coupons at increased waves was associated with (1) greater odds of initiation (AOR=1.58, 95% CI=1.26-1.97); (2) lower odds of cessation (AOR=0.78, 95% CI=0.67-0.91); and (3) increased odds of return-to-use (AOR=1.39, 95% CI=1.14-1.69). Findings did not differ by W2 cigarette smoking status.

CONCLUSIONS

E-cigarette coupons may encourage and sustain e-cigarette use. Policies restricting e-cigarette coupons may curb e-cigarette use.

Exposure to e-cigarette advertisements and non-advertising content in relation to use behaviors and perceptions among US and Israeli adults

INTRODUCTION

As e-cigarette marketing strategies diversify, it is important to examine exposure to and impact of e-cigarette advertisements and non-advertising content (e.g. on social media) via multiple media channels among adults in different regulatory contexts.

METHODS

Using 2021 cross-sectional data among 2222 adults in the US (n=1128) and Israel (n=1094), multivariable regression examined past-month e-cigarette advertisement and non-advertising content exposure in relation to past-month e-cigarette use (logistic regression), as well as use intentions and risk perceptions (linear regressions), controlling for sociodemographics and tobacco use.

RESULTS

Overall, 20.3% reported past-month e-cigarette use (15.5% US, 25.2% Israel), 46.1% any advertisement exposure (28.7% digital media, 25.2% traditional media, 16.8% retail settings), and 34.1% any non-advertising exposure (19.4% social media, 13.6% websites, 12.3% movie/television/theater, 5.8% radio/podcasts). Exposure to digital media advertisements (AOR=1.95; 95% CI: 1.42-2.66), traditional media advertisements (AOR=2.00; 95% CI=1.49-2.68), and social media non-advertising (AOR=1.72; 95% CI: 1.25-2.36) correlated with e-cigarette use. Exposure to traditional media advertisements (β=0.23; 95% CI: 0.08-0.38) and social media non-advertising (β=0.26; 95% CI: 0.09-0.43) correlated with use intentions. Exposure to digital media advertisements (β= -0.32; 95% CI: -0.57 - -0.08), retail setting advertisements (β= -0.30; 95% CI: -0.58 - -0.03), and radio/podcast non-advertising (β= -0.44; 95% CI: -0.84 - -0.03) correlated with lower perceived addictiveness. Radio/podcast non-advertising exposure (β= -0.50; 95% CI: -0.84 - -0.16) correlated with lower perceived harm. However, retail setting advertisement exposure was associated with e-cigarette non-use (AOR=0.61; 95% CI: 0.42-0.87), and traditional media advertisement (β=0.38; 95% CI: 0.15-0.61) and social media non-advertising exposure (β=0.40; 95% CI: 0.14-0.66) correlated with greater perceived addictiveness.

CONCLUSIONS

E-cigarette-related promotional content exposure across media platforms impacts perceptions and use, thus warranting regulation.

"I Crave a Blunt, I Don't Crave a Cigarillo": A Focus Group Study on Perceptions of Nicotine and Addiction among US Adults Who Currently Smoke Little Cigars or Cigarillos

While the US Food and Drug Administration (FDA)'s proposal to reduce the nicotine content in cigarettes is gaining traction, it is still undetermined whether the policy will also include other combustible tobacco products, such as little cigars and cigarillos (LCCs), and how such a policy should be communicated given the patterns of use and perceptions around LCCs. This study examined perceptions of nicotine and addiction related to LCC use and involved data collection from eight semi-structured virtual focus groups conducted in Summer 2021 in the US. Participants were adults who reported past-30-day use of LCCs, consisting of African American males (n = 9), African American females (n = 9), white males (n = 14), and white females (n = 11). Participants discussed their perceptions of nicotine and addiction in general and in relation to LCC use. Inductive thematic analysis of transcripts was conducted. Differences across race and sex groups were examined. Participants did not consider nicotine to be a characterizing feature of LCCs; rather, they generally associated nicotine with cigarettes. Participants' views of nicotine and addiction related to LCCs were discussed along four dimensions: context of use, frequency of use, the presence of cravings, and whether a product is modified (e.g., by adding marijuana). Social and infrequent use, a lack of cravings, and the use of LCCs for marijuana were considered indicative of a lack of addiction and reasons not to be concerned about nicotine in LCCs. Because perceptions of nicotine and addiction related to LCCs differ from those of cigarettes, communications about a reduced nicotine policy that includes LCCs should consider these differences to ensure the policy is understood by people who currently use LCCs and to prevent people who use cigarettes from switching to LCCs.

A Comparative Analysis of E-Cigarette and Cigarette Posts on Instagram

E-cigarette use has grown rapidly over the past decade and become a threat to public health. Marketing-especially through social media-has contributed significantly to this growth, which suggests that regulating content in social media will be critical in supporting efforts to reverse this trend. A content analysis was performed to compare 254 e-cigarette posts on Instagram with 228 cigarette posts on the same platform. The majority of e-cigarette posts were from e-cigarette companies (40.9%) and industry people (18.5%), whereas the majority of cigarette posts were from laypeople (76.8%). More e-cigarette posts than cigarette posts appeared to have a marketing intent (56.3% vs. 1.3%), and brand representation in photographs/videos was more frequent in the e-cigarette posts than in the cigarette posts (63.0% vs. 15.8%). Further, compared with the e-cigarette posts, the cigarette posts were more likely to portray daily life (73.2% vs. 41.3%) and humans (80.3% vs. 43.7%) in the photograph/video. The cigarette posts also portrayed smoking much more often than the e-cigarette posts portrayed vaping (67.1% vs. 21.3%). The study findings broaden the field's understanding of cigarette and e-cigarette content on Instagram and social media, and have implications for monitoring and regulating content for e-cigarettes and cigarettes.

Association between E-Cigarette Advertising Exposure and Use of E-Cigarettes among a Cohort of U.S. Youth and Young Adults

Youth and young adult (YYA) use of e-cigarettes increased rapidly between 2010 and 2019 in the United States, during which exposure to e-cigarette advertising was also increased. We aimed to examine whether exposure to e-cigarette advertising among YYAs may lead to subsequent e-cigarette use. A cohort of 3886 YYAs ages 13-24 was recruited from two survey panels in 2018 and followed up until 2019. Survey data were collected online and by telephone. The primary outcome was past 30-day use of e-cigarettes at the follow-up survey. Among 2304 YYAs who retained at the follow-up survey and were not past 30-day e-cigarette users at baseline, both youth and young adults exposed to e-cigarette advertising at baseline had elevated odds of past 30-day e-cigarette use at follow-up (Youth adjusted odds ratio (aOR): 2.77, 95% CI: 1.23, 6.24; Young adults aOR: 2.34, 95% CI: 1.08, 5.11) compared with those not reporting baseline advertising exposure. The majority of YYAs reported exposure to e-cigarette advertising at baseline (Youth: 63.7%, 95% CI: 59.8, 67.4; Young adults: 58.3%, 95% CI: 53.6, 62.8). Our findings suggest that exposure to e-cigarette advertising was associated with an increase in subsequent past 30-day use of e-cigarettes among YYAs. Restricting advertising targeted at YYAs may reduce the likelihood of e-cigarette use among YYAs.

Information Scanning Impacts Nonmedical Drug Use Among College Students: A Longitudinal Study of Scanning Effects

Health information that is acquired through information scanning has been shown to play an important role in shaping individual beliefs and health behavior. This study examines the direct and indirect effects of the breadth of scanning from media and interpersonal sources about two risk behaviors (nonmedical use of amphetamines and marijuana) on subsequent drug use behavior through changes to perceived norms. We test effects of scanning using a longitudinal online survey design with data collected at six-month intervals over three time points among 800 Israeli undergraduate students in their freshman year. Of the 800 respondents who participated in the first wave, 62.4% completed the second wave (N = 499), among which 347 (69.5%) completed a follow-up 6 months later. Results of cross-lagged structural equation models find that scanning information about amphetamines from interpersonal sources at 6 months predicted an increased likelihood of nonmedical use of amphetamines at 12-months. In addition, young adults who scanned information about marijuana from media sources at 6 months reported greater nonmedical marijuana use at 12 months. Breadth of scanning about marijuana from media sources mediated the relationship between perceived norms and marijuana use at 12 months. Results also showed indirect effects of scanning at baseline on nonmedical drug use at 12 months through scanning from the same source at 6 months. These findings contribute to our understanding of the role of information scanning and perceived norms in shaping substance use behaviors, and suggest that scanning may serve as a potential early indicator of risk.

Assessing digital advertising exposure using a virtual experimental protocol

Introduction

The rapid increase in online public education campaigns underscores the need for a better understanding of the effects of exposure to digital advertising and targeted individual-level outcomes. The goal of this study is to develop a virtual experimental protocol to evaluate the dose-response effects of individual-level exposure to digital video ads on campaign outcomes in a naturalistic online browsing context.

Methods

Young adults aged 18–24 years (n = 221) completed three 5 min viewing sessions on a realistic mock-up of the YouTube mobile app over a period of 2 weeks, followed by a 10-min survey after the third session. Participants were randomized to view between 0 and 6 exposures of ads from an e-cigarette prevention campaign; respondents viewed a total of 2 ads per session, with 0 to 2 of those ads being non-skippable digital video ads from the campaign and/or a dummy ad. The video ads played prior to short YouTube videos. Outcomes measured were self-reported ad recognition, frequency of ad exposure, and main message knowledge.

Results

This study demonstrates a rapidly accessible virtual experimental protocol for evaluating the dose-response effects of digital advertising and individual-level outcomes. Five digital exposures of non-skippable video ads delivered via this platform over a 2-week period generated the highest ad recognition when there were up to six exposures. Higher exposure levels may be needed for message knowledge and ad-content-related effects.

Conclusion

This protocol can be extended to investigate dose-response effects and mechanisms of action of individual-level exposure to digital advertising for multiple campaign outcomes, including changes in knowledge, attitudes, and beliefs. Findings can inform evidence for adequate levels of digital exposure in public education campaigns.