AbstractElectric scooter (e-scooter) companies are growing in popularity across the United States looking to take advantage of the rideshare economy by providing an independent alternative to cars ...and bicycles. While e-scooter transportation could reduce emissions, and automobile congestion in local areas, powered two-wheeler drivers are extremely vulnerable to road risks. News reports of e-scooter crashes and fatalities have started to accumulate. Earlier research has demonstrated that the ways in which companies promote and demonstrate use of their product or service through social media influences consumer behavior. In the U.S. in 2018, this study examined the official Instagram account of Bird, the e-scooter market share leader with over 66,000 followers, to determine how much it emphasized safety in its posts. All posts to Bird's official Instagram account were collected from 22 September 2017 to 9 November 2018 (n = 324) and rules for coding content were developed. Among all posts, 69.14% contained a person visible with a Bird e-scooter, 6.17% contained persons wearing protective gear, 6.79% had protective gear somewhere in the post, and 1.54% of posts mentioned protective gear in the comment box. About 69.44% of the posts were reposts, and among reposts, 7.11% had persons wearing protective gear. Posts to Bird's official Instagram rarely showed e-scooters being used with protective gear. Photos of customers' experiences with Bird, via reposts, rarely featured protective gear potentially normalizing these behaviors among customers. Public health practitioners may need to establish interventions to promote use of protective gear while operating escooters.
Twitter offers a platform for rapid diffusion of information and its users' attitudes and behaviors. Insights about information propagation via retweets (the message forwarding function) offer ...observable explanations of ways in which modern human interactions get organized in the form of online networks, and contextualized in the form of public health, policy decisions, disaster management, and civic participation. This study conceptualized and validated the Why We Retweet Scale to contextualize retweeting behavior.
Twitter users were identified using clustering algorithms that consider a users' position in their network and invited for an online survey. Participants (N = 1433) responded to 19 questions about why they retweet. Exploratory factor Analysis (EFA) was conducted on a scale development sample (70% of original sample), which informed the Confirmatory Factor Analysis (CFA) on a scale testing sample (30% of the original sample). Varimax rotation was used to obtain a rotated factor solution, which resulted in interpretable factors. Demographic differences among scale factors were analyzed using one-way ANOVA or independent samples t-tests.
The final model (χ221 = 28, RMSEA = .03 90% CI, 0.00-0.06, CFA = .99, TLI = 0.99) represented a parsimonious solution with 4 factors, measured by 2-3 items each, creating a final scale consisting of 9 items. Factor labels and definitions were: (1) Show approval, "Show support to the tweeter"; (2) Argue, "To argue against a tweet that I disagree with"; (3) Gain attention, "Add followers or gain attention"; and (4) Entertain, "Create humor/amusement". Demographic differences were also reported.
The Why We Retweet Scale offers a useful conceptualization and assessment of motivations for retweeting. In the future, communication strategists might consider the factors associated with information propagation when designing campaign messages to maximize message reach and engagement on Twitter.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Background
E-cigarette companies use YouTube to foster brand awareness, market their products, and interact with current and future tobacco users. However, research on the official YouTube channels ...of e-cigarette companies is limited. This study determined the themes of, and degree of user engagement with, videos posted to the official channels of e-cigarette companies on YouTube.
Methods
Data were collected from the official YouTube channels of seven e-cigarette companies by scraping (i.e., electronically copying) the videos. The earliest video was posted on October 10, 2013, and the most recent video was posted on April 22, 2021 (n = 260). An inductive approach was used to identify themes in the data. User engagement with posts including number of likes, dislikes, and comments were also collected.
Results
Prevalent themes included branding (n = 250 of 260 videos, 96%), youth use (n = 222, 85%), and tobacco use (n = 210, 81%), while less common themes included misleading health statements (n = 4, 2%), personal choice (n = 4, 2%), and antitobacco (n = 2, 1%). Videos that contained the themes testimonial, product design features, and instructional received the highest mean number of likes. Videos that contained the themes antitobacco, cessation, and testimonial received the highest mean number of dislikes. The 260 videos in this study were collectively viewed 6,619,700 times as of May 5, 2021.
Conclusions
Videos from the official YouTube channels of seven e-cigarette companies often focused on branding and user experience but rarely mentioned cessation. While videos about cessation were rare, they received the second highest mean number of dislikes. Future research should assess the impact of exposure to e-cigarette-related content on YouTube and e-cigarette-related attitudes and behaviors.
Background
In response to the recent government restrictions, flavored JUUL products, which are rechargeable closed-system electronic cigarettes (e-cigarettes), are no longer available for sale. ...However, disposable closed-system products such as the flavored Puff Bar e-cigarette continues to be available. If e-cigarette consumers simply switch between products during the current government restrictions limited to 1 type of product over another, then such restrictions would be less effective. A step forward in this line of research is to understand how the public discusses these products by examining discourse referencing both Puff Bar and JUUL in the same conversation. Twitter data provide ample opportunity to capture such early trends that could be used to help public health researchers stay abreast of the rapidly changing e-cigarette marketplace.
Objective
The goal of this study was to examine public discourse referencing both Puff Bar and JUUL products in the same conversation on Twitter.
Methods
We collected data from Twitter’s streaming application programming interface between July 16, 2019, and August 29, 2020, which included both “Puff Bar” and “JUUL” (n=2632). We then used an inductive approach to become familiar with the data and generate a codebook to identify common themes. Saturation was determined to be reached with 10 themes.
Results
Posts often mentioned flavors, dual use, design features, youth use, health risks, switching 1 product for the other, price, confusion over the differences between products, longevity of the products, and nicotine concentration.
Conclusions
On examining the public’s conversations about Puff Bar and JUUL products on Twitter, having described themes in posts, this study aimed to help the tobacco control community stay informed about 2 popular e-cigarette products with different device features, which can be potentially substituted for one another. Future health communication campaigns may consider targeting the health consequences of using multiple e-cigarette products or dual use to reduce exposure to high levels of nicotine among younger populations.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
Background
The prevalence of electronic-cigarette (e-cigarette) product placement in music videos is on the rise and currently unregulated. This promotional activity is concerning given the ...popularity of music videos among young adults.
Aims
We examined associations between self-reported levels of exposure to music videos with any e-cigarette product placement or imagery and susceptibility to use e-cigarettes and e-cigarette use.
Method
A representative sample of young adults (18–24 years of age), residing in California (n = 1,280), completed online surveys assessing self-reported exposure to music videos with e-cigarette product placement or imagery and susceptibility to use e-cigarettes and e-cigarette use. Adjusted and weighted regression analyses were used for statistical analyses.
Results
Participants exposed to any e-cigarette product placement or imagery in music videos were more likely to report lifetime e-cigarette use (relative risk ratio RRR: 2.81) and past 30-day use (RRR: 3.64) compared with participants with no exposure. Additionally, participants with greater levels of exposure were more likely to report lifetime e-cigarette use (RRR: 1.13) and past 30-day use (RRR: 1.20) compared with participants with lower levels of exposure. Among those with any exposure, participants younger than 21 years of age (i.e., under the tobacco purchasing age in the United States) were more likely to report lifetime e-cigarette use (RRR: 4.68) compared with those aged 21 years and older.
Discussion and Conclusion
Restricting e-cigarette product placement or imagery in music videos may minimize marketing exposure and risk for vaping among young adults, especially among those under the tobacco purchasing age.
Background
To identify actionable and effective implementation intention (II) plans, we examined whether (a) IIs suggesting food or nicotine-based substitution strategies to help quit smoking ...cigarettes would be more likely to be enacted in real time, (b) IIs reminding participants to cognitively motivate themselves or engage in solitary activity would be more likely to be enacted than those suggesting seeking social support, and (c) II plan enactment based on the above strategies would be associated with reporting momentary lapse avoidance.
Method
A sample of 57 Asian American young adult (18–25 years) smokers participated in a 4-week, mobile-based smoking cessation intervention, implemented in a Just-In-Time framework. User-specified IIs were categorized into nature of activity (cognitively motivate themselves, engage in solitary activity, seek social support) and type of substitution strategy (food, nicotine, no substitution). Outcome variable was momentary enactment of the given II. Generalized mixed linear models were used for analyses.
Results
IIs reminding participants to cognitively motivate themselves and/or engage in solitary activities were more likely to be enacted than IIs recommending seeking social support. IIs recommending nicotine-based substitution were more likely to be enacted than IIs that did not specify any substitution. IIs suggesting food-based substitution, however, were less likely to be enacted than those not suggesting a specific substitution. II plan enactment based on the above strategies was significantly associated with avoiding momentary lapses compared to when momentary lapses occurred.
Conclusion
Specifying II recommendations found to be helpful with avoiding lapses in a smoking cessation context, can increase chances of II enactment, and improve overall health intervention outcomes.
Introduction
The COVID‐19 pandemic has led to a major shift in workspace from office to home. This report examined how telecommuting is related to smoking behavior of wage and salary workers.
Methods
...Self‐reported smoking behavior of 1,390 U.S. wage and salary workers aged 16–64 years from the Tobacco Use Supplement of the Current Population Survey 2018/19 were linked to the 2018 American Time Use Survey. Weighted multivariate logistic regression predicting smoking probability and generalized linear regression predicting smoking intensity were used for analysis.
Results
Almost a fifth (19%) of wage and salary workers reported working from home and over a half (52%) reported working in telecommuting amenable occupations. Nearly 12% were current smokers, smoking 14.7 cigarettes daily on average. Compared to their counterparts, smoking prevalence (percentage points) was lower among those employed in telecommuting amenable occupations (−0.52, p < .001 for all; 0.01, p = .862 for men; −2.40, p < .001 for women) and who worked more frequently from home (−0.21, p < .001 for all; −0.76, p < .001 for men; −0.03, p = .045 for women). Smoking intensity (cigarettes per day) was lower among those employed in telecommuting amenable occupations (−3.39, p = .03 for all; −0.36, p = .90 for men; −4.30, p = .21 for women). We found no statistically significant association between smoking intensity and telecommuting frequency.
Conclusions
The lower likelihood of smoking and lower level of smoking intensity among telecommuting wage and salary workers suggests the need for proactive efforts to address the potential exacerbation in occupation‐related smoking disparities between occupations that are and are not amenable to telecommuting.
Concept flavor e-cigarettes, defined as products with vague/ambiguous flavor (tobacco flavor and non-tobacco flavor) names, may limit the intended impact and enforcement of flavored tobacco ...restrictions. This study assessed trends in unit sales of concept flavor e-cigarettes in the U.S. by volume, nicotine concentration levels (NCL), flavor and device type.
We analyzed NielsenIQ Retail Scanner point-of-sales data collected from 2182 Local Trade Areas in the contiguous 48 U.S. states and the District of Columbia aggregated weekly from August 10, 2019, through April 9, 2022. Concept flavors were categorized by: flavor type (tobacco, fruity, menthol, mint, and other); device type (pods/refillable cartridges, disposables, e-liquids, and other); and NCL (0 %-2.0 %, 2.1 %-4.0 %, > 4.1 %, unknown). Joinpoint regression was used to assess sales trends.
Overall unit sales during the study period increased by 33.63 % from 1040.85 to 1390.88 thousand units per month (p = 0.006). Between August 2019 and September 2021, unit sales increased and peaked; between September 2021 and April 2022 sales decreased by 14.46 % (from 1626.02 to 1390.88 thousand units; p = 0.002). Sales of fruity, menthol and mint flavors concept flavor e-cigarettes increased by > 1000 %; disposable devices by 302.18 %; pods and refillable cartridges by 33.81 % overall; and products NCL > 4.0 % increased by 110.18 %. Tobacco flavor concept flavors (93.28 %), pods (94.63 %), and products with 2.1 %-4.0 % NCL (88.40 %) dominated unit share.
Sustaining the recent overall decline in the unit sales of concept flavor e-cigarettes and monitoring the sales of products with nicotine concentration greater than 2.0%, non-tobacco flavor, and pod products warrant prioritization in tobacco control efforts.
AbstractIntroductionE-liquid is the solution aerosolized by e-cigarette devices to produce vapor. Continuously evolving e-liquids and corresponding devices can affect user experiences associated with ...these products. Twitter conversations about e-liquids can capture salient behavioral, social, and communicative cues associated with e-liquids. We analyzed Twitter data to characterize key topics of conversation about e-liquids to inform surveillance and regulatory efforts.MethodsTwitter posts containing e-liquid-related terms (“e-liquid(s),” “e-juice(s)”) were obtained from 1 January 2018 to 31 December 2018. Text classifiers were used to identify topics of the posts (n = 15,927).ResultsThe most prevalent topic was Promotional at 29.35% followed by Flavors at 24.22%, and Person Tagging at 21.47%. Juice Composition was next most prevalent at 17.61% followed by Cannabis at 16.83%, and Nicotine Health Risks at 6.39%. Quit Smoking was rare at 0.57%. ConclusionThese results suggest that flavors, cannabis, health risks of nicotine, and composition warrant consideration as targets in future surveillance, public policy, and interventions addressing the use of e-liquids. Twitter provides ample opportunity to influence the normalization and uptake of e-cigarette-related products among non-smokers and youth, unless regulatory restrictions and counter messaging campaigns are developed to reduce this risk.
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