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INTRODUCTION: Brick-and-mortar vape shops specialize in the sale of e-cigarettes and remain a primary source for purchasing emerging e-cigarette products. New regulatory policies have been implemented at local-, state- and federal-level; the retail environment at vape shops and product preferences among vape shop customers shifted accordingly. METHODS: From 2019 to 2023, we collected anonymous interview data from vape shop customers (n=572) from 83 vape shops in Southern California. We aggregated the data by month and treated each month as the unit of analysis to document changes in recruitment efforts among the vape shops in relation to major policy implementations over 4 years. We also examined the systematic fluctuations and trends in customers' e-cigarette product preferences and nicotine content in these products. RESULTS: The monthly average shop-level consent rate was 52.9% (SD=8.7), with an overall decreasing trend over time. It was necessary for our data collection team to approach a greater number of vape shops to obtain consent with implementation of various state and federal tobacco regulations and following COVID-19. We observed an increase in the purchase of disposable products and nicotine concentrations in the products, while the average use frequency remained the same. CONCLUSIONS: Our findings demonstrated that user preferences, product characteristics and challenges in research involving vape shops are closely associated to changes in regulations. We documented a dramatic increase in nicotine concentration in products. Future policies restricting the amount of nicotine in tobacco products at the federal level are necessary to protect consumers from further nicotine addiction. This study provides documentation over time of the drastic increases in nicotine concentration among e-cigarette users as a result of the fluctuations in the product market. Regulating nicotine content in tobacco products could safeguard against further unsafe modifications in e-cigarettes and other types of tobacco products.
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Objective: Synthetic nicotine (SN) e-cigarettes emerged on the market as an alternative to tobacco-derived nicotine (TDN) vaping products. It is critical to understand the harm perceptions, purchase, and use of SN vs. TDN e-cigarettes. Methods: From November 2021 to February 2023, we conducted intercept interviews with 263 adult customers at 37 vape shops in Southern California. Self-reported use and harm perceptions towards SN vs TDN e-cigarettes were examined. A qualitative analysis of researcher-obtained photographs of vaping items just purchased by customer participants was conducted. Results: Past 30-day SN e-cigarette use was reported by 44 (16.7 %) customers. Past 30-day SN e-cigarette users vs. non-users reported vaping on more days in the past month (29.3 vs. 26.1 days, p = 0.02). Overall, 23.8 % of participants perceived SN e-cigarettes as less harmful than TDN ones; never-smoking vapers and dual users perceived SN e-cigarettes as less harmful than salt-based TDN e-cigarettes. Among 44 customers who purchased SN products (verified through qualitative analysis of photographs), only 13 (29.6 %) self-reported using SN products in the past month, while 5 (11.4 %) indicated they were not aware of the existence of SN products. Most SN vaping products (71.4 %) displayed a modified "tobacco-free" warning label. Conclusions: Misperceptions about SN e-cigarettes were documented in this study, including the perception that SN is either less or more harmful than TDN. Further, some customers may be unknowingly purchasing and using SN e-cigarettes. Regulating "tobacco-free nicotine" terminology in SN vaping products marketing is suggested. SN product labeling should not imply that SN is safe/safer than TDN.
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INTRODUCTION: Online e-cigarette retailers use e-mail communications to promote products directly to consumers, which may facilitate e-cigarette use. Little is known about the content of these e-mails. As such, this study collected e-mails from online e-cigarette retailers in California to conduct a content analysis. AIMS AND METHODS: This study included 13 online e-cigarette retailers in California using Yelp. To be included in the study, e-cigarette retailers needed a live website, physical retail location (ie, vape shop), and e-cigarettes available for purchase online. The research team entered each website and signed up (if possible) for an e-mail newsletter. Data were collected from the Gmail Application Programming Interface over a 1-year study period (November 1, 2021-November 1, 2022). Members of the research team coded e-mails for the presence of e-cigarettes, other products, flavors, marketing categories, and promotional activities, among other variables. RESULTS: Seven hundred and forty-nine promotional e-mails (2.1 avg/day) were received over the 1-year study period. Second-generation e-cigarettes (nâ =â 581, 77.6%) were the most observed product in e-mails followed by disposable e-cigarettes (nâ =â 391, 52.2%). The most common flavor profile was fruit or sweet or liquor (nâ =â 424, 56.6%). E-mails included links to social media pages (nâ =â 366, 48.9%). Online coupons were found in 53.1% (nâ =â 398) of the e-mails. Age warnings were displayed in 8.0% (nâ =â 60) of the e-mails. CONCLUSIONS: E-cigarette retailers' e-mails promoted new products, flavors, and contained promotional discounts. Future research should examine the impact of exposure to such e-mails on e-cigarette-related attitudes and behaviors. IMPLICATIONS: Findings from this study may help inform prevention programs and interventions focused on increasing tobacco-related digital media literacy (ie, evaluate tobacco advertising messages on digital media) among gender and ethnic minorities. Future research should examine if exposure to e-mail marketing is causally linked with e-cigarette use among gender and ethnic minorities.
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Electronic Mail , Electronic Nicotine Delivery Systems , Internet , Marketing , Electronic Mail/statistics & numerical data , Electronic Nicotine Delivery Systems/statistics & numerical data , Humans , Marketing/methods , California , Vaping , Commerce/statistics & numerical dataABSTRACT
INTRODUCTION: JUUL is a high-nicotine pod-based vaping device that is popular among adolescents and young adults. On 23 June 2022, the US Food and Drug Administration (FDA) denied authorization to market JUUL, and ordered JUUL Labs to remove products from the US market. The next day, a US federal appeals court temporarily suspended the ban. The mixed public discourse surrounding the FDA ban warrants further investigation. METHODS: This study examined Twitter data to describe public reaction to these announcements. Posts containing terms 'JUUL' and/or '#JUUL' (N=97548 unique tweets) were collected from 23 June to 3 July 2022, from Twitter's Streaming Application Programming Interface (API). After removing retweets, we used an inductive approach to become familiar with the data, generated a codebook, and conducted a content analysis on a random sample of n=4000 tweets. RESULTS: A total of 2755 (68.9%) tweets discussed JUUL in the context of the FDA ban. News (n=1425/2755; 51.7%) about the JUUL ban, government distrust (n=588; 21.3%), and individual rights (n=253; 9.2%) were the most prevalent themes. Less commonly discussed themes included inconsistencies between policies (n=174; 6.3%), mentions of switching to other products (n=162; 5.9%), smoking cessation (n=99; 3.6%), and craving for JUUL (n=94; 3.4%). Sentiment analysis of JUUL ban-related posts (n=2755) demonstrated that 1989 (72.2%) tweets were categorized as neutral, while anti-ban posts (n=566; 20.5%) were more prevalent than pro-ban posts (n=200; 7.3%). CONCLUSIONS: Besides straightforward announcements of the JUUL ban and its suspension, Twitter posts discussed government distrust, individual rights, and policy inconsistencies. While most posts conveyed neutral sentiments, anti-ban posts were almost three times more prevalent than pro-ban posts. Our findings suggest that text-based social media platforms like Twitter may be an effective instrument to understand opinions, attitudes, and beliefs regarding the FDA's JUUL ban.
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BACKGROUND: Oral nicotine gum such as LUCY, which comes in colorful packaging, mimicking traditional chewing gum, is becoming popular. Many brands of gum have not been approved by the FDA for smoking cessation. This study examined public discourse about, including sentiment toward, oral nicotine gum on Twitter. METHODS: We used Twitter's Streaming Application Programming Interface to collect data from January 1, 2021, to December 21, 2021, using "nicotine gum" and/or "#nicotinegum" search terms (Nâ =â 19 171 unique tweets were collected). We used an inductive approach to become familiar with the data, generated a codebook, and conducted a content analysis on (nâ =â 2152) tweets. RESULTS: Cessation (nâ =â 716, 33.3%), personal experience (nâ =â 370, 17.2%), and addiction to gum (nâ =â 135, 6.3%) were the most prevalent themes. Cessation tweets primarily discussed cigarette smoking cessation (nâ =â 418, 58.4% of cessation tweets) and successful cessation experiences (nâ =â 155, 21.6%). Other identified themes pertained to using nicotine gum for cognitive enhancement or catching a "buzz" (nâ =â 102, 4.7%), marketing (nâ =â 98, 4.6%), using nicotine gum with other substances (nâ =â 90, 4.2%), and adverse effects (nâ =â 63, 2.9%). Sentiment analysis results revealed that 675 (44.2%) tweets were categorized as neutral, 605 (39.6%) tweets were classified as positive, and 248 tweets (16.2%) were negative. CONCLUSIONS: About one-third of tweets in our corpus mentioned nicotine gum in the context of smoking cessation. Most nicotine gum-related posts conveyed positive and neutral sentiments. Future studies should consider adding novel nicotine gum-specific search terms as well as exploring other social media platforms to gain more insights about these products. IMPLICATIONS: Our findings suggest that Twitter has the potential to track and facilitate conversations between those seeking cigarette cessation advice and those who have successfully quit tobacco by using nicotine gum. Monitoring of promotional content from nicotine gum companies is needed to ensure these products are not appealing to youth and nonusers of tobacco.
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Electronic Nicotine Delivery Systems , Nicotine Chewing Gum , Social Media , Tobacco Products , Humans , Chewing Gum , Nicotine/adverse effectsSubject(s)
Illicit Drugs , Substance-Related Disorders , Humans , Young Adult , Pilot Projects , EthanolABSTRACT
BACKGROUND: Electronic cigarette (e-cigarette) brands and vendors use websites to promote pro-tobacco messages that may increase susceptibility to use e-cigarettes among never users or help sustain continued e-cigarette use among current users. E-cigarette website marketing is lightly regulated, and little is known about promotional strategies used on e-cigarette companies' websites. This study conducted a content analysis of website marketing from leading e-cigarette companies selling products in California. METHODS: This study identified 20 e-cigarette vendors and 6 e-cigarette brands that had products available for purchase online in California. Two coders visited 26 websites between 06 February 2022 and 17 April 2022. Websites were coded for marketing themes, promotional and interactive content, availability of flavoured e-cigarette products, presence of health warnings, and reference to tobacco control policies. RESULTS: Marketing themes related to physical health benefits of e-cigarette use were found on 50.0% of the websites. 57.7% of the websites had sales/discounts/coupons. 65.4% of the websites had fruit-flavoured disposable e-cigarettes, while 73.1% of the websites had fruit-flavoured e-liquids available for purchase. 69.2% of the websites allowed users to sign up for email newsletters, and 88.9% of such websites did not require users to create an age-verified account to receive email newsletters. CONCLUSIONS: Findings from this study can be used to inform statewide regulations of promotional communications found on e-cigarette companies' websites and encourage enforcement of age-verification procedures. This may help reduce susceptibility to use, or continued use of, e-cigarette products among price-sensitive populations, such as adolescents and young adults.
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INTRODUCTION: In December 2022, California (CA) enforced a voter-approved regulation restricting the retail sale of flavoured tobacco products, including menthol cigarettes. Shortly after, new products emerged on the market containing similar blue and green package colours yet with 'non-menthol' descriptors. Using chemical analyses, we measured the content of menthol and 15 other cooling chemicals in Californian cigarettes with 'non-menthol' descriptors and compared concentrations to similar 'menthol'-labelled counterparts available in New York State (NY). METHODS: A convenience sample of 10 brands and types of cigarettes in CA were purchased based on package colours suggesting a cooling effect and/or 'non-menthol' descriptors. The exact brand and type of cigarettes (with menthol descriptors) were purchased in NY. Cigarettes from CA were compared with equivalent cigarettes from NY on package design and colours, cigarette physical characteristics and the presence of cooling additives. RESULTS: Menthol was not detected in any CA cigarette, except for Maverick-green box type, while its presence was confirmed in most NY counterpart products. A synthetic cooling chemical WS-3 was not detected in any NY cigarettes but was detected in four CA brands and types with implied cooling effect, ranging from 1.24±0.04 to 1.97±0.05 mg/cigarette. CONCLUSION: While manufacturers have removed menthol descriptors from CA packaging and the menthol ingredient from cigarettes, synthetic cooling chemicals detected in several CA brands suggest that cooling sensory effects may still be sustained. Policymakers must consider both the chemical ingredients themselves and sensory effects in future regulatory approaches.
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The objective was to examine pandemic-related changes in depression and anxiety symptoms in adolescents and young adults in Germany considering pre-existing depression and anxiety problems. In this cross-sectional study, 11,523 adolescents and young adults aged 14-21 years who perceived an impact of the Coronavirus disease (COVID-19) pandemic on their mental health reported the frequencies of depression and anxiety symptoms retrospectively for different pre-pandemic and pandemic phases. Data were collected using web-based questionnaires between January 5th and February 20th, 2022. Depression and anxiety were assessed with a modified version of the Patient Health Questionnaire (PHQ-4). Scale-fit cut-offs were used to identify pre-existing elevated depression and anxiety scores. Multilevel mixed linear models were conducted to assess changes in depression and anxiety symptoms from 2019 to 2021 and compare for age, gender and pre-pandemic mental health problems. Among young people who were experiencing mental health changes as a result of the pandemic, the frequency of depression and anxiety symptoms increased during the COVID-19 pandemic. This association was moderated by age, gender, and pre-existing elevated depression/anxiety scores. For young people without elevated pre-pandemic depression/anxiety, the scores increased strongly over time, with 61% reporting elevated depression symptoms and 44% reporting elevated anxiety symptoms in 2021. In contrast, self-perceived change was minimal for adolescents and young adults with elevated pre-pandemic depression and anxiety. Among young people whose mental health has been affected by the COVID-19 pandemic, the group without pre-pandemic mental health conditions reported greater deterioration than those with elevated pre-pandemic depression and anxiety scores. Thus, adolescents and young adults without pre-existing depression and anxiety problems who perceived a change in general mental health due to the pandemic reported an alarming increase in symptoms of depression and anxiety during the COVID-19 pandemic period.
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COVID-19 , Pandemics , Adolescent , Young Adult , Female , Humans , Cross-Sectional Studies , Mental Health , Retrospective Studies , COVID-19/epidemiology , Anxiety/epidemiology , Menstruation Disturbances , Depression/epidemiologyABSTRACT
The potential impact of the COVID-19 pandemic on young people's mental and physical health is of increasing concern. We examined the levels of internalizing and externalizing problem behavior and physical complaints before and during the COVID-19 pandemic in Germany. Data came from a repeated cross-sectional study on child and youth health in schools in Germany. Assessments took place from November to February each year. Two data collections were conducted before the COVID-19 pandemic in 2018-2019 and in 2019-2020. Collections during the pandemic took place in 2020-2021 and 2021-2022. A total of 63,249 data observations were included in the analyses. Multilevel analyses were used to examine temporal trends in mean emotional problems (e.g., often unhappy, downhearted), hyperactivity-inattention (e.g., constantly fidgeting or squirming), conduct problems (e.g., fights with other children), and physical complaints. Models were adjusted for age, gender, school type, socioeconomic status, and sensation seeking. During the COVID-19 pandemic, children and adolescents in Germany experienced an increase in emotional problems from the pre-pandemic cohort 2019-2020 to the pandemic cohort 2021-2022 (ß = 0.56, 95% CI (0.51-0.62)) and, over the course of the pandemic, reported elevated levels of physical complaints (ß = 0.19, 95% CI (0.16-0.21)). Findings of increased emotional problems and physical complaints after the two years of the pandemic support the ongoing demand for low-threshold health promotion and prevention and the need for further monitoring of young people's health in Germany.
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COVID-19 , Mental Disorders , Humans , Child , Adolescent , Mental Health , Cross-Sectional Studies , Pandemics , Mental Disorders/epidemiologyABSTRACT
Behavioral addictions are highly comorbid with substance use disorders, presenting in as many as 54% of service users receiving substance use treatment. Few studies have examined whether treatment centers are attentive to such other addictions, which may undermine treatment. This study examined the mention and treatment of behavioral addictions on United States treatment center websites. The 2021 Newsweek America's Best Addiction Treatment Centers website was utilized to examine the mention and treatment of behavioral addictions in 300 leading treatment centers across 25 states in the United States. Of 289 active websites, only 61 (21.1%) treatment centers mentioned anything about behavioral addictions. The highest prevalence was for gambling (n = 38), sex (n = 22), food/eating (n = 21), and internet gaming (n = 12). A total of 49 treatment centers reported treating those addictions. The most prevalent treatments involved 12-step programming (n = 18), cognitive behavioral therapy (CBT; n = 16), individual counseling (n = 16), and group therapy (n = 15). Little formalized importance via websites was provided regarding the mention or treatment of behavioral addictions at treatment centers. A greater emphasis on concurrent and substitute behavioral addictions is needed to improve the quality of life and lower the possibility of relapse among those persons in addictions treatment.
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Behavior, Addictive , Gambling , Substance-Related Disorders , Humans , United States , Quality of Life , Behavior, Addictive/epidemiology , Behavior, Addictive/therapy , Behavior, Addictive/psychology , Substance-Related Disorders/epidemiology , Substance-Related Disorders/therapy , Substance-Related Disorders/psychology , Gambling/epidemiology , Gambling/therapy , Gambling/psychology , ComorbidityABSTRACT
INTRODUCTION: E-cigarette users typically initiate vaping with flavoured e-liquids. People who vape flavours tend to underestimate the harm of vaping. We examined the inter-relationship between flavour preference, vaping for cessation purposes, e-cigarette dependence, e-cigarette harm perception and purchase/use intention, given a hypothetical flavour ban. We hypothesised that non-tobacco flavour preference and vaping for cessation would be negatively associated with harm perception of e-cigarettes and intention to continue vaping if a flavour ban occurred and that these effects would be mediated by e-cigarette dependence. METHODS: From July 2019 to March 2020, we conducted intercept interviews with 276 customers at 44 vape shops in California. The predictor variables were flavour preference and vaping for cessation. The outcome variables were harm perception of e-cigarettes and intention to purchase/use, given a hypothetical flavour ban. Multilevel structural equation modelling tested whether e-cigarette dependence mediates the effects of flavour preference on hypothetical continued vaping and purchase. RESULTS: Those who preferred flavours showed significantly lower intention to purchase e-liquids (ß=-0.28, p<0.001) and to continue vaping (ß=-0.17, p=0.001), given a hypothetical flavour ban. Those who vaped for smoking cessation indicated greater intention to purchase e-liquid (ß=0.10, p=0.016) and to continue vaping (ß=0.17, p=0.001), given a hypothetical flavour ban. E-cigarette dependence significantly mediated these effects (ps<0.04). DISCUSSION: Flavour preference was negatively related to intention to continue to vape within a hypothetical flavour ban. Our results also highlight the importance of e-cigarette dependence and use of e-cigarettes as smoking cessation methods. Implications for future flavour bans are discussed.
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Electronic Nicotine Delivery Systems , Smoking Cessation , Vaping , Humans , Intention , Smokers , Smoking Cessation/methods , Flavoring AgentsABSTRACT
Vape shops specialize in sales of e-cigarettes and related products. This study examines whether vape shops adapted their products and services in response to changes in federal and state policies that affect the tobacco retail environment between 2014-2022. In this multicohort study, four waves of study data were used to examine the trends in products sold in vape shops in Southern California. Items sold were assessed through systematic store product observations and included categories of e-cigarettes, device modification equipment, and other products (e.g., Cannabidiol (CBD), paraphernalia). Descriptive statistics are reported. The availability of disposable devices increased from 18% at Wave 1 to 98% of shops at Wave 4. Pod mods were first observed in 79% of the shops beginning at Wave 3. Device modification drills later become obsolete, from 60% at Wave 1 to 0 by Wave 4; self-service sampling displays declined from 83% of shops to 9%. Vape shops did not carry CBD products until Wave 3 (2017/2018), when 19.0% of shops carried CBD products and 72.9% at Wave 4. Future research should examine how e-cigarette retailers and manufacturers respond to changing state and federal regulations to better understand the implications of regulatory efforts.
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Cannabidiol , Electronic Nicotine Delivery Systems , Tobacco Products , Vaping , Commerce , PolicyABSTRACT
BACKGROUND: The US Food and Drug Administration (FDA) recently restricted characterizing flavors in tobacco products. As a result, ice hybrid-flavored e-cigarettes, which combine a cooling flavor with fruit or other flavors (eg, banana ice), emerged on the market. Like menthol, ice-flavored e-cigarettes produce a cooling sensory experience. It is unclear if ice hybrid-flavored e-cigarettes should be considered characterizing flavors or menthol, limiting regulatory action. Monitoring the public's conversations about ice-flavored e-cigarettes on Twitter may help inform the tobacco control community about these products and contribute to the US FDA policy targets in the future. OBJECTIVE: This study documented the themes pertaining to vaping and ice flavor-related conversations on Twitter. Our goal was to identify key conversation trends and ascertain users' recent experiences with ice-flavored e-cigarette products. METHODS: Posts containing vaping-related (eg, "vape," "ecig," "e-juice," or "e-cigarette") and ice-related (ie, "Ice," "Cool," "Frost," and "Arctic") terms were collected from Twitter's streaming application programming interface from January 1 to July 21, 2021. After removing retweets, a random sample of posts (N=2001) was selected, with 590 posts included in the content analysis. Themes were developed through an inductive approach. Theme co-occurrence was also examined. RESULTS: Many of the 590 posts were marked as (or consisted of) marketing material (n=306, 51.9%), contained positive personal testimonials (n=180, 30.5%), and mentioned disposable pods (n=117, 19.8%). Other themes had relatively low prevalence in the sample: neutral personal testimonials (n=45, 7.6%), cannabidiol products (n=41, 7%), negative personal testimonials (n=41, 7%), "official" flavor description (n=37, 6.3%), ice-flavored JUUL (n=19, 3.2%), information seeking (n=14, 2.4%), and comparison to combustible tobacco (n=10, 1.7%). The most common co-occurring themes in a single tweet were related to marketing and disposable pods (n=73, 12.4%). CONCLUSIONS: Our findings offer insight into the public's experience with and understanding of ice-flavored e-cigarette products. Ice-flavored e-cigarette products are actively marketed on Twitter, and the messages about them are positive. Public health education campaigns on the harms of flavored e-cigarettes may help to reduce positive social norms about ice-flavored products. Future studies should evaluate the relationship between exposure to personal testimonials of ice-flavored vaping products and curiosity, harm perceptions, and experimentation with these products among priority populations.
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Electronic Nicotine Delivery Systems , Social Media , Vaping , United States , Humans , Menthol , Ice , NicotianaABSTRACT
OBJECTIVES: To determine the effects of electronic cigarettes (e-cigarettes) as a therapeutic intervention compared to nicotine replacement therapy (NRT) on nicotine abstinence. METHODS: Two authors independently searched the PubMed, Embase, PsycInfo and Cochrane Central Register of Controlled Trials databases for articles published up to and including 10 July 2021. We included randomised controlled trials (RCTs) in which nicotine e-cigarettes were compared to NRT among current cigarette users. The primary outcome was abstaining from all nicotine-delivery devices. Secondary outcomes were 1) allocated product use (e-cigarettes or NRT) among successful cigarette quitters and 2) quitting cigarettes at the end of the trial using fixed-effect Mantel-Haenszel models. RESULTS: We included four RCTs representing 1598 adult participants (51.0% females). The mean age of participants in these studies ranged from 41 to 54â years, while average baseline smoking ranged from 14 to 21 cigarettes per day. Compared to NRT, e-cigarette use was associated with lower nicotine abstinence rates at the longest follow-up (risk ratio 0.50 (95% CI 0.32-0.77)). Among successful cigarette quitters, the risk of allocated product use by the end of the observational time was higher for e-cigarette users compared to NRT (risk ratio 8.94 (95% CI 3.98-20.07)). E-cigarette users had higher cigarette smoking cessation rates compared to NRT users (risk ratio 1.58 (95% CI 1.20-2.08)). CONCLUSIONS: The use of e-cigarettes as a therapeutic intervention for smoking cessation may lead to permanent nicotine dependence.
Subject(s)
Electronic Nicotine Delivery Systems , Smoking Cessation , Vaping , Adult , Female , Humans , Male , Middle Aged , Nicotine/adverse effects , Randomized Controlled Trials as Topic , Tobacco Use Cessation Devices/adverse effects , Vaping/adverse effectsABSTRACT
The interactions between physical activity (PA), screen time, and sleep affect the health of children and adolescents. This study described the national prevalence estimates of German youth aged 9 to 18 years who meet PA, screen time, and sleep guidelines alone and in combination and examined the associations of demographic and personal characteristics with adherence to guidelines. Data from a 2019-2020 German student survey were used (n = 15,786). The target population consisted of children and adolescents enrolled in grades 5-10, with a mean age of 13.0 years (SD = 1.8) and an equal gender distribution (male: 50%). The levels of PA, screen time, and sleep were assessed by self-reports (online questionnaires). The prevalence rates of meeting each guideline individually and in different combinations were calculated, and multilevel logistic regression models were used to examine the associations of demographic and personal characteristics with meeting versus not meeting guidelines. Overall, 9.7% of the respondents met all three guidelines combined, and approximately 25% did not meet any of the guidelines. Half of the participants (50%) met the sleep guidelines, and approximately one third met the screen time (35%) and PA (37%) guidelines alone. Demographic characteristics associated with adherence to meeting all three movement guidelines included younger age, male gender, higher self-reported socioeconomic status, and school type. Personal characteristics related to adherence to meeting all three movement guidelines included better subjective school performance, less frequent attention deficit hyperactivity disorder (ADHD), lower levels of depressive symptoms, lower body mass index (BMI), and not using substances in the past 30 days. CONCLUSION: A low percentage of German children and adolescents met the movement guidelines. With increasing age, the proportion of young people who follow the recommendations decreases. There is an urgent need for health interventions devoted to youth behavior as a whole. WHAT IS KNOWN: ⢠High levels of PA, low levels of screen time, and optimal sleep duration provide enhanced health benefits in comparison to the adoption of just one of these behaviors. ⢠Evidence shows that movement behaviors interact throughout the day and should be studied concurrently. WHAT IS NEW: ⢠Approximately 10% of German children and adolescents met the recommendations on PA, screen time, and sleep, while 25% did not meet any guidelines. ⢠Meeting all guidelines was associated with less frequent ADHD and depressive symptoms, lower BMI, and less frequent substance use in the past 30 days.
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Screen Time , Sedentary Behavior , Adolescent , Child , Cross-Sectional Studies , Exercise , Guideline Adherence , Humans , Male , SleepABSTRACT
INTRODUCTION: Experimentation with e-cigarettes is rising among youth, and there are concerns that e-cigarettes could be a new risk factor for initiating substance use. This study aimed to investigate whether e-cigarette use longitudinally predicts experimentation with cannabis. AIMS AND METHODS: During 2017-2019, a prospective cohort study with an observation period of 18 months was conducted with 3040 students from Germany who had never used cannabis (mean age = 14.8, range: 13-18 years). A multiple Poisson regression was used to investigate whether e-cigarette use was an independent predictor of future cannabis use. RESULTS: Lifetime e-cigarette use was reported by 29.4% of the survey population (n = 894) at baseline, and 17.4% (n = 529) initiated cannabis use during the observation period. Among e-cigarette ever users, the initiation rate was 34.5% compared with 10.4% of never users. Results were robust to adjustment for age, sex, migrant status, type of school, sensation seeking, peer cannabis use, the use of alcohol and conventional cigarettes (ARR = 1.83; 95% CI: 1.48-2.25). Further analyses revealed that the association between e-cigarette use and cannabis experimentation was stronger among youth with low sensation-seeking scores (ARR = .77, CI: .61-.97) and no conventional cigarette use (ARR = .48, CI: .37-.64) at baseline. CONCLUSIONS: E-cigarette use is associated with a subsequent initiation of cannabis use. This association seems to be stronger for youth who have a lower risk for substance use in general. Future studies need to investigate whether this is only true for experimental or also more frequent cannabis use. IMPLICATIONS: The study indicates a prospective association between e-cigarette use and initiation of cannabis experimentation independent of other risk factors. It suggests that e-cigarette use is more strongly associated with cannabis initiation for youth with a lower propensity to use substances (low sensation-seekers and non-smokers).
Subject(s)
Cannabis , Electronic Nicotine Delivery Systems , Vaping , Adolescent , Humans , Longitudinal Studies , Prospective Studies , Vaping/epidemiologyABSTRACT
OBJECTIVE: The 2016 FDA's "Deeming Rule" prohibited free samples of vaping products. The purpose of this study was to investigate compliance with or adaptation to this newly established FDA policy. METHODS: Vape shops were recruited in Southern California between November 2017 and December 2018. Data collectors interviewed 121 vape shop employees who responded to questions pertaining to the sampling protocol at their shop. Nicotine levels used for sampling were also assessed for consideration of future policy adoption. RESULTS: Only 7.4% of shops were non-compliant to federal sampling rules. The remaining shops either: 1) charged a fee for samples (58.7%); 2) deducted the fee from the final purchase price (5.8%); or 3) eliminated product sampling (28.1%). Of the shops that charged for sampling (including membership fees), 94.4% initiated a minimal cost protocol (≤$1) for sampling. Half (50.0%) the shops that allowed sampling offered nicotine-containing samples. CONCLUSION: There was high compliance (92.6%) to the change in policy among vape shops. However, minimal modification of sampling protocol was observed due in part to the lack of specificity on parameters of compliance, which lessened the potential impact of the policy. To further protect consumers, policymakers must develop unambiguous and comprehensive policies to achieve intended results and true compliance. At minimum, future tobacco product sampling policies should consider standardized pricing; alternatively, total elimination of tobacco product sampling is suggested.