Vaping Frequency Research Articles

Associations between smoking and vaping prevalence, product use characteristics, and mental health diagnoses in Great Britain: a population survey

BackgroundRates of diseases and death from tobacco smoking are substantially higher among those with a mental health condition (MHC). Vaping can help some people quit smoking, but little is known about vaping among people with MHCs or psychological distress. We assessed the prevalence and characteristics (heaviness, product type) of smoking and/or vaping among those with and without a history of single or multiple MHC diagnoses and with no, moderate or serious psychological distress.MethodsData from 27,437 adults in Great Britain surveyed between 2020 and 2022. Multinomial regressions analysed associations between smoking, vaping and dual use prevalence, smoking/vaping characteristics and (a) history of a single or multiple MHC and (b) moderate or serious psychological distress, adjusted for age, gender, and socioeconomic status.ResultsCompared with people who had never smoked, those who currently smoked were more likely to report a history of a single (12.5% vs 15.0%, AOR=1.62, 95% CI=1.46–1.81, p<.001) or multiple MHCs (12.8% vs 29.3%, AOR=2.51, 95% CI=2.28–2.75, p<.001).Compared with non-vapers, current vapers were more likely to report a history of a single (13.5% vs 15.5%, AOR=1.28, 95% CI=1.11–1.48, p<.001) or multiple MHCs (15.5% vs 33.4%, AOR=1.66, 95% CI=1.47–1.87, p<.001). Dual users were more likely to report a history of multiple MHCs (36.8%), but not a single MHC than exclusive smokers (27.2%) and exclusive vapers (30.4%) (all p<.05). Similar associations were reported for those with moderate or serious psychological distress.Smoking roll-your-own cigarettes and smoking more heavily, were associated with a history of single or multiple MHCs. There were no associations between vaping characteristics and a history of MHCs. Frequency of vaping, device type and nicotine concentration differed by psychological distress.ConclusionsSmoking, vaping and dual use were substantially higher among those with a history of MHC, especially multiple MHC, and experiencing past month distress than those not having a history of MHC or experiencing past month distress respectively. Analysis used descriptive epidemiology and causation cannot be determined.

A Machine Learning Approach Reveals Distinct Predictors of Vaping Dependence for Adolescent Daily and Non-Daily Vapers in the COVID-19 Era.

Since 2016, there has been a substantial rise in e-cigarette (vaping) dependence among young people. In this prospective cohort study, we aimed to identify the different predictors of vaping dependence over 3 months among adolescents who were baseline daily and non-daily vapers. We recruited ever-vaping Canadian residents aged 16-25 years on social media platforms and asked them to complete a baseline survey in November 2020. A validated vaping dependence score (0-23) summing up their responses to nine questions was calculated at the 3-month follow-up survey. Separate lasso regression models were developed to identify predictors of higher 3-month vaping dependence score among baseline daily and non-daily vapers. Of the 1172 participants, 643 (54.9%) were daily vapers with a mean age of 19.6 ± 2.6 years and 76.4% (n = 895) of them being female. The two models achieved adequate predictive performance. Place of last vape purchase, number of days a pod lasts, and the frequency of nicotine-containing vaping were the most important predictors for dependence among daily vapers, while race, sexual orientation and reporting treatment for heart disease were the most important predictors in non-daily vapers. These findings have implications for vaping control policies that target adolescents at different stages of vape use.

Sensory appeal and puffing intensity of e-cigarette use: Influence of nicotine salts versus free-base nicotine in e-liquids

BackgroundIn the US, nicotine salts (with protonated nicotine instead of free-based nicotine) have been reported to lower the harshness and bitterness of e-cigarette aerosols, making it easier to inhale high levels of nicotine. This study aimed to determine whether nicotine salts also increase sensory appeal at lower concentrations (< 20mg/mL). Moreover, and novel, inhalation intensity of both types of e-liquids was compared. MethodsIn a randomized, double-blinded, within-participants design, healthy adults who use e-cigarettes (n=68) vaped tobacco-flavored e-liquids containing 12mg/mL of free-based nicotine or nicotine salt ad libitum, using their own device, during two online sessions (June-July 2021, Utrecht, The Netherlands). The sensory parameters perceived liking, nicotine intensity, harshness, and pleasantness were rated on a 100-unit visual analog scale. The intensity of use was determined by the recorded puff number, duration and interval. ResultsTest scores on appeal, harshness and puffing behavior parameters showed no significant differences between the nicotine salt and the free-base condition. The average inhalation time was 2.5seconds. Additional analyses found no significant effect of liquid order, age, gender, smoking status, vaping frequency and familiarity with nicotine salts. Significant positive correlations were found between the sensory parameters except for harshness. ConclusionsContrary to a previous study that used higher nicotine concentrations and standardized puffing conditions in a laboratory setting, we did not observe the effects of nicotine salts on sensory appeal in our real-life study paradigm. Moreover, we did not see effects on study parameters related to puffing intensity.

Vaping and Hookah Use Among Medical Trainees: A Multinational Survey Study

The increased use of e-cigarettes and hookah among young consumers represents a public health concern. This study aimed to investigate the frequency and patterns of use of e-cigarettes and hookah among medical trainees. This cross-sectional multinational online survey included medical students, residents, and fellows in Brazil (BR), the United States (US), and India (IN) between October-2020 and November-2021. Information on sociodemographics, mental health, and e-cigarettes, hookah, tobacco, marijuana, and alcohol use were collected. Generalized structural equation models were used in 2022 to explore factors associated with current vaping and current hookah use (ongoing monthly/ weekly/ daily use). People reporting previous sporadic/ frequent use or those who never used/ only tried it once were the reference group. Overall, 7,526 participants were recruited (BR =3,093, US =3,067, IN =1,366). The frequency of current vaping was 20% (BR), 11% (US), and <1% (IN) and current hookah use was 10% (BR), 6% (US), and 1% (IN). Higher family income [OR 6.35(4.42-9.12)], smoking cigarettes [(OR 5.88(4.88-7.09)] and marijuana [(OR 2.8(2.35-3.34)], and binge drinking [(OR 3.03(2.56-3.59)] were associated with current vaping. The same was true for hookah use: higher family income [OR 2.69(1.75- 4.14)], smoking cigarettes [(OR 3.20(2.53-4.06)], marijuana [(OR 4.17(3.35-4.19)], and binge drinking [(OR 2.42(1.96-2.99)]. In conclusion, e-cigarettes and hookah were frequently used by Brazilian and American trainees, sharply contrasting with data from India. Cultural aspects and public health policies may explain differences among countries. Addressing the problems of hookah and e-cigarette smoking in this population is relevant to avoid the "renormalization" of smoking.

Daily heavy and binge vaping is associated with higher alcohol and cannabis co-use

The associations between vaping in young people and alcohol and cannabis co-use remain understudied. The current study examined the effect of vaping frequency on past 30-day alcohol and cannabis use. Using an online survey, regular vapers (N = 1328, aged 16–24) from Canada responded to a demographic and vaping questionnaire and provided information regarding e-cigarette use and alcohol and cannabis co-use. A k-means cluster analysis was used to segment users based on vaping frequency, and a one-way MANOVA tested vaper cluster membership effects on past 30-day alcohol and cannabis use. Pairwise comparisons measured specific mean differences, and crosstabulation with Bonferroni tests examined demographic differences among clusters. Vaper cluster membership had a significant effect on past 30-day alcohol and cannabis use. Daily heavy and binge vapers had higher rates of past 30-day alcohol and cannabis use. Non-daily light vapers were less likely to share their vape and more likely to have never owned a vape. Non-daily light vapers were less likely to use high nicotine concentrations. High vaping frequency places its users at risk for higher alcohol and cannabis use and high-risk vaping behavior. Nicotine caps, among other policies, may be key in reducing high vaping frequency and its negative consequences.

Preliminary development of the protective behavioral strategies for vaping scale

ObjectiveExploring factors that may mitigate the harms of e-cigarette use (i.e., vaping) among college students may provide insights for prevention/intervention efforts. Study aims were to develop and conduct initial psychometric analyses on the Protective Behavioral Strategies for Vaping (PBSV) scale to measure strategies that students use before, during, after, and instead of vaping to protect themselves from vaping-related harms. MethodsStudents from one U.S. university (n = 277) completed an online survey and provided open-ended reports on things they do to avoid vaping and limit their use while vaping. Responses were used to generate an item pool of 52 strategies. Students from a second sample who vaped in the past year (n = 216) were administered these 52 items. A series of exploratory graph, unique variable, and exploratory factor analyses were used to develop and test the psychometric properties of the PBSV. ResultsThe finalized scale contained 39 items, which featured three subscales reflecting manner of use, avoiding use by creating obstacles, and committing to quitting and using supports to quit. The PBSV composite score and each subscale negatively associated with vaping frequency and dependence. Males endorsed significantly lower scores for manner of use than females. ConclusionsThis exploratory and preliminary examination of the PBSV scale’s psychometric properties suggests that use of protective strategies for vaping may protect young people from more frequent use and greater dependence. More research with the PBSV scale is encouraged to determine its psychometric properties and potential practical utility as a clinical and assessment tool with young adults.

Adolescent use and co-use of tobacco and cannabis in California: The roles of local policy and density of tobacco, vape, and cannabis retailers around schools

Adolescent tobacco use (particularly vaping) andco-use of cannabis and tobacco have increased, leading some jurisdictions to implement policies intended to reduce youth access to these products; however, their impacts remainunclear. We examine associations between local policy, density of tobacco, vape, and cannabis retailers around schools, and adolescent use and co-use of tobacco/vape and cannabis.We combined 2018 statewide California(US) data on: (a) jurisdiction-level policies related to tobacco and cannabis retail environments, (b) jurisdiction-level sociodemographic composition, (c) retailer locations (tobacco, vape, and cannabis shops), and (d) survey data on 534,176 middle and high school students (California Healthy Kids Survey). Structural equation models examined how local policies and retailer density near schools are associated with frequency of past 30-day cigarette smoking or vaping, cannabis use, and co-use of tobacco/vape and cannabis, controlling for jurisdiction-, school-, and individual-level confounders.Stricter retail environment policies were associated with lower odds of past-month use of tobacco/vape, cannabis, and co-use of tobacco/vape and cannabis. Stronger tobacco/vape policies were associated with higher tobacco/vape retailer density near schools, while stronger cannabis policies and overall policy strength (tobacco/vape and cannabis combined) were associated with lower cannabis and combined retailer densities (summed tobacco/vape and cannabis), respectively. Tobacco/vape shop density near schools was positively associated with tobacco/vape use odds, as was summed retailer density near schools and co-use of tobacco, cannabis.Considering jurisdiction-level tobacco and cannabis control policies are associated with adolescent use of these substances, policymakers may proactively leverage such policies to curb youth tobacco and cannabis use.

Response to “commentary on ‘increased nicotine vaping due to the COVID-19 pandemic among US young adults: Associations with nicotine dependence, vaping frequency, and reasons for use’”

Response to “commentary on ‘increased nicotine vaping due to the COVID-19 pandemic among US young adults: Associations with nicotine dependence, vaping frequency, and reasons for use’”

Toxicological Assessment of Particulate and Metal Hazards Associated with Vaping Frequency and Device Age.

Electronic nicotine delivery systems (ENDS) aerosols are complex mixtures of chemicals, metals, and particles that may present inhalation hazards and adverse respiratory health risks. Despite being considered a safer alternative to tobacco cigarettes, metal exposure levels and respiratory effects associated with device aging and vaping frequency have not been fully characterized. In this study, we utilize an automated multi-channel ENDS aerosol generation system (EAGS) to generate aerosols from JUUL pod-type ENDS using tobacco-flavored e-liquid. Aerosol puff fractions (1-50) and (101-150) are monitored and sampled using various collection media. Extracted aerosols are prepared for metal and toxicological analysis using human primary small airway epithelial cells (SAEC). ENDS aerosol-mediated cellular responses, including reactive oxygen species (ROS), oxidative stress, cell viability, and DNA damage, are evaluated after 24 h and 7-day exposures. Our results show higher particle concentrations in later puff fractions (0.135 mg/m3) than in initial puff fractions (0.00212 mg/m3). Later puff fraction aerosols contain higher toxic metal concentrations, including chromium, copper, and lead, which elicit increased levels of ROS followed by significant declines in total glutathione and cell viability. Notably, a 30% increase in DNA damage was observed after 7 days because of later puff fraction exposures. This work is consistent with ENDS aerosols becoming more hazardous across the use of pre-filled pod devices, which may threaten respiratory health.

Exposure-response analysis of the association of maternal smoking and use of electronic cigarettes (vaping) in relation to preterm birth and small-for-gestational-age in a national US sample, 2016-2018.

The US experienced a surge in use of e-cigarettes. Smoking women may consider e-cigarettes during pregnancy as an alternative to smoking. E-cigarettes typically contain nicotine, an established cause of reduction in fetal growth in animal studies. This cohort study included 99,201 mothers who delivered live singletons in 2016-2018 from the Pregnancy Risk Assessment Monitoring System. We created exposure categories based on self-reported number of cigarettes smoked per day and vaping frequency and evaluated their associations with preterm birth and small-for-gestational-age (SGA) birth (two established cigarette smoking-related risks). Dual users in late pregnancy were a heterogeneous group: 29% lightly smoked and occasionally vaped; 19% lightly smoked and frequently vaped; 36% heavily smoked and occasionally vaped; and 15% heavily smoked and frequently vaped. While dual users who heavily smoked and occasionally vaped had the highest adjusted OR for SGA (3.4, 95% CI 2.0, 5.7), all the dual users had, on average, about twice the odds of having SGA than non-users. While the risks of preterm birth were higher among sole light smokers (adjusted OR 1.3, 95% CI 1.1, 1.5) and sole heavy smokers (adjusted OR 1.5. 95% CI 1.2, 1.8) than non-users, the adjusted odds of preterm birth for dual users were not noticeably higher than those of non-users. Relative to non-users, both smoking and vaping during pregnancy appear to increase risk of SGA, but excess risk of preterm birth appears to be primarily attributable to smoking alone. Higher levels of exposure tended to confer more risk.

Underage E-Cigarette Purchasing and Vaping Progression Among Young Adults

PurposeDespite laws prohibiting sale of e-cigarettes to individuals aged less than 21 years, many underage young adults purchase e-cigarettes from retail stores, which may increase likelihood of continued use due to a greater access to vaping products and exposure to point-of-sale marketing. MethodsData are from a prospective cohort of young adults aged 18–20 years in Los Angeles who had ever used e-cigarettes at baseline (N = 1,029). We evaluated the association of underage e-cigarette purchasing behavior (owned and purchased vs. owned but never purchased vs. never owned an e-cigarette) with subsequent vaping frequency, intensity, and dependence symptoms one year later, adjusting for vaping behaviors prior to baseline; additional models evaluated whether associations differed by purchase location or product type. ResultsAt baseline, 332 (32%) had purchased e-cigarettes while underage, 227 (22%) owned but never purchased e-cigarettes themselves, and 470 (46%) never owned an e-cigarette. Compared to never owning e-cigarettes, those who had purchased their own e-cigarettes vaped more days in the past month (rate ratio [RR] = 2.97; 95% confidence interval [CI]: 2.15–4.09), had more vaping episodes per day (RR: 2.58; 95% CI: 2.12–3.14), vaped more puffs per vaping episode (RR: 1.90; 95% CI: 1.61–2.23), and had greater odds of dependence (odds ratio: 3.68; 95% CI: 2.51–5.40); elevated estimates were also observed for those who owned but never purchased e-cigarettes (vs. never owned). Vaping dependence was greatest among participants who purchased JUULs or other pod-mods. DiscussionParticipants who purchased e-cigarettes underage subsequently vaped more intensely and had greater vaping dependence. Regulations that reduce underage retail access to e-cigarettes may help prevent vaping progression among those most at risk of dependence.

“I don’t know whose mouth has been on this”: youth nicotine and cannabis vaping practices in the context of the COVID-19 pandemic

Early COVID-19 safety protocols urged physical and social distancing, resulting in minimal contact with others. As social contexts are central to vaping among youth, we used semi-structured interviews to describe how youth who vape are making sense of their use practices and adaptations. The qualitative analyses revealed changes in vaping frequency and access, social isolation shaping substance- and product-specific use, and motivations and outcomes of dual use of nicotine and cannabis which were closely linked to the pandemic. The findings indicate variation of youth vaping experiences within the early stages of the pandemic that should be attended to in future studies.

Stealth vaping and associated attitudes, perceptions, and control beliefs among US college students across four tobacco-free campuses

ObjectivesStealth vaping gained popularity among college students in recent years. It may undermine the benefits introduced by tobacco-free policies. Yet, no studies have investigated attitude and belief factors associated with stealth vaping. The objective of the study was to explore the relationship between attitudes toward on-campus tobacco regulations, normative perceptions of stealth vaping behaviors, and control beliefs with on-campus stealth vaping among U.S. college students. MethodsParticipants from four large, public universities with policies prohibiting use of all forms of tobacco (including e-cigarettes) on campus (N = 863) completed an online survey in Fall 2020. On-campus stealth vaping behavior was captured by past 30-day stealth vaping status and frequency. Hurdle models with logistic and negative binomial regressions were conducted, where stealth vaping status was treated as a binary variable based on the non-zero and zero frequency, and stealth vaping frequency was treated as a count variable. Multiple imputation by chained equations was employed to handle the missing data. ResultsParticipants with more positive attitudes toward regulating on-campus tobacco use were less likely to practice stealth vaping on campus (OR = 1.16, p < 0.01 [predicting zero]). Those with higher perceptions of stealth vaping among other students were more likely to stealth vape more frequently (IRR = 1.03, p < 0.01). ConclusionOur results highlight the need for interventions to address students’ attitudes and normative beliefs about stealth vaping. Efforts are needed to educate college students about the risk of e-cigarettes and to enhance enforcement of campus tobacco-free policies.

Prospective association between e-cigarette use frequency patterns and cigarette smoking abstinence among adult cigarette smokers in the United States.

To estimate the association of longitudinal patterns of e-cigarette use with cigarette smoking abstinence, after accounting for time-dependent confounding and selection bias. Secondary analysis of longitudinal national cohort data. Using marginal structural models and four waves of the population assessment of tobacco and health (wave 1, 2013-14; wave 2, 2014-15; wave 3, 2015-16; wave 4, 2016-18), we estimated the association of vaping frequency across waves 2 and 3 with 12-month sustained cigarette smoking abstinence at wave 4, adjusting for time-dependent confounders at waves 1 and 2 and selection bias due to drop-out with inverse probability of treatment and censoring weights. United States. A total of 5699 adults (18+ years) who smoked cigarettes and did not vape at wave 1. The exposure was vaping frequency at waves 2 and 3 (non-use, non-daily use, daily use), representing nine possible combinations of vaping frequency across two waves. Non-use at both waves was the exposure reference group. The primary outcome was sustained 12-month cigarette smoking abstinence at wave 4. Among 5699 adults who smoked cigarettes at wave 1, a total of 560 (9.8%) reported smoking abstinence at wave 4. Compared with nonuse at both waves, daily vaping at both waves [risk ratio (RR) = 3.82, 95% confidence interval (CI) = 2.59-5.64] and non-use at wave 2 followed by daily vaping at wave 3 (RR = 2.50, 95% CI = 1.66-3.77) were positively associated with smoking abstinence; non-daily vaping at both waves was inversely associated with smoking abstinence (RR = 0.28, 95% CI = 0.11-0.75). Results persisted after accounting for misclassification of e-cigarette use and cigarette smoking abstinence and after restricting to participants with plans to quit smoking. In a US cohort of adult smokers, longitudinal patterns of vaping frequency appear to predict smoking abstinence, even after accounting for several sources of systematic error. Consistent daily vaping is associated with increased chances of cigarette smoking abstinence, while consistent non-daily vaping is associated with decreased chances of smoking abstinence.

Use and Product Characteristics of "Tobacco Free Nicotine" E-Cigarettes Among Young Adults.

E-cigarettes are increasingly being marketed as containing tobacco-free nicotine (TFN). There is no data examining use of TFN e-cigarettes by young adults and how use may differ from non-TFN e-cigarettes. The current study aims to characterize young adult TFN e-cigarette use and examine differences between those who report using TFN and non-TFN e-cigarettes. U.S. young adults (18-25) with lifetime e-cigarette use (n = 927) were recruited via online panels in Fall 2021 and answered questions about TFN and non-TFN e-cigarettes. Participants were categorized by lifetime TFN e-cigarette use status (yes vs. no; 34% yes). Bivariate comparisons examined differences in e-cigarette characteristics (device type, flavors, nicotine concentration) between the TFN and non-TFN groups. Binary logistic regression models examined associations between lifetime frequency of vaping (<100 vs. ≥100 times), and other tobacco product, cannabis, and/or alcohol use and lifetime TFN e-cigarette use (yes vs. no). Adjusted models include age, race/ethnicity, vaping onset age, and sex. In multivariable adjusted models, lifetime TFN e-cigarette use was associated with younger age, greater lifetime vaping, and nicotine pouch use. Young adults who used TFN e-cigarettes were more likely to report fruit, mint, menthol, and beverage flavors and know their e-liquid nicotine concentration compared with those who used non-TFN e-cigarettes. Among young adults who have used e-cigarettes, more frequent e-cigarette use and use of nicotine pouches, which can also contain TFN, were associated with TFN e-cigarette use. Understanding behaviors and characteristics of those using TFN e-cigarettes is critical to regulation of TFN containing products. This study characterizes young adults who report experience with tobacco free nicotine (TFN) e-cigarettes and compares them to those who have not used TFN e-cigarettes. Young adults with more frequent e-cigarette use and use of nicotine pouches are more likely to report TFN e-cigarette use.

Motivations for E-cigarette use and associations with vaping frequency and smoking abstinence among adults who smoke cigarettes in the United States

IntroductionIn observational studies, vaping daily is positively associated with cigarette smoking abstinence, while non-daily vaping is associated with less smoking abstinence (versus no e-cigarette use). It remains unknown whether cigarette smokers who vape daily have different motivations for using e-cigarettes than those who vape non-daily. MethodsUsing latent class analysis and 10 self-reported reasons for vaping, we identified sub-groups of participants based on vaping motivations among 1544 adult (≥18 y) dual users of e-cigarettes and cigarettes at wave 4 of the Population Assessment of Tobacco and Health (2016–2018). We examined the association of motivation sub-groups with vaping frequency at wave 4, and subsequent cigarette smoking abstinence at wave 5 (2018–2019). Additional analyses examined the association of vaping frequency with smoking abstinence before and after adjustment for motivation sub-groups. ResultsFour distinct sub-groups of e-cigarette users emerged, including 54 % of participants who were “Vaping Enthusiasts”, 20 % who vaped for “Convenience and Social Acceptability”, 10 % classified as “Experimenters”, and 16 % who vaped for “Quitting Smoking and Harm Reduction.” The Convenience and Social Acceptability sub-group were less likely than “Vaping Enthusiasts” (AOR=0.29, 95 %CI[0.20–0.42]) and “Quitting Smoking and Harm Reduction” (AOR=0.41, 95 %CI[0.24–0.71]) classes to vape daily (versus non-daily). Sub-groups were not associated with smoking abstinence after one year. Adjustment for motivation sub-groups did not attenuate a positive association of daily vaping with smoking abstinence. ConclusionsCigarette smokers who vaped for convenience and social acceptability were less frequent e-cigarette users than those with other vaping motivations. Vaping motivations were not associated with subsequent smoking abstinence.

Frequency of adolescent cannabis smoking and vaping in the United States: Trends, disparities and concurrent substance use, 2017-19.

To quantify the trends in frequent and occasional cannabis vaping, demographic differences and concurrent nicotine and alcohol use. Observational study. Survey-weighted multinomial logistic regression models assessed trends and disparities in past 30-day cannabis use. Trends were assessed overall and by sex, race/ethnicity, parental education and urbanicity. Multinomial logistic regression models also estimated associations of cannabis use (none, use without vaping, use with vaping) with past 2-week binge drinking and past 30-day nicotine/tobacco use. United States, 2017-19. Participants in the national Monitoring the Future (n = 51 052) survey. Past 30-day frequent cannabis use (six or more times/30 days) and past 30-day occasional use (one to five times/30 days), with and without vaping. Past 30-day frequent cannabis use with vaping and occasional use with vaping rose from 2017 to 2019. Past 30-day frequent and occasional cannabis use without vaping declined. Certain groups, such as Hispanic/Latino or lower socio-economic status adolescents, experienced particularly notable increases in frequent cannabis use with vaping (e.g. prevalence among Hispanic/Latino adolescents). Adolescents who reported smoking and vaping nicotine, and 10+ occasions of binge drinking, were 42.28 [95% confidence interval (CI) = 33.14-53.93] and 10.09 (95% CI = 4.51-22.53) times more likely to report past 30-day cannabis use with vaping, respectively, compared with no use. Cannabis use without vaping appears to be declining among adolescents in the United States, while cannabis use with vaping is accelerating; frequent cannabis vaping is especially increasing, with consistent increases across almost all adolescent demographic groups. Cannabis use among US adolescents remains highly associated with other substance use.

Increased nicotine vaping due to the COVID-19 pandemic among US young adults: Associations with nicotine dependence, vaping frequency, and reasons for use

Previous research has not examined increased vaping because of the pandemic using a national sample of young adults (YAs), which is a critical gap because pandemic-related increases in vaping among YAs could have important implications for nicotine dependence, prolonged regular use, and using substances to cope with stress. We examined self-reported increased vaping attributed to the COVID-19 pandemic among YAs, and its associations with outcomes that have important implications for future nicotine use. Data came from the Monitoring the Future (MTF) Vaping Supplement. Participants were selected from a nationally representative sample of US 12th-graders who were surveyed at age 19 in fall 2020 (N = 1244). Cross-sectional analyses of the 2020 survey included YAs who vaped nicotine in the past year (35%; N = 440). Weighted descriptive analyses and logistic regression models examined self-reported pandemic-related increased vaping (vs. decreased vaping, or no change), and its associations with current nicotine dependence, vaping behavior, and reasons for vaping. Among YAs who vaped nicotine in the past year, 16.8% reported increased and 44.4% reported decreased vaping due to the pandemic, while 38.9% reported no change. Increased vaping (vs. decreased and/or no change) was significantly associated with nicotine dependence symptoms, current regular nicotine vaping, and vaping to relax, get high, and because of boredom. Self-reported increased vaping because of the pandemic was associated with increased risk for current nicotine dependence and frequent use. Increased vaping may have been a form of coping with pandemic-related stressors, which increases risk for future substance use problems.

Impulsivity-Related Personality Traits as Predictors of E-Cigarette Use among Young Adults over Time

Introduction : There has been rising concern about e-cigarette usage among teenagers and young adults. As knowledge about the adverse health effects of e-cigarettes accumulates, it is critical to identify factors that may increase risk of vaping initiation and frequency of use. One potential risk factor known to increase risk for other substance use is impulsivity. This study tested the hypothesis that impulsivity prospectively predicts vaping over time. Methods : Active e-cigarette users (n = 137; 51.8% male; Mean age 20 years at baseline) completed 8 waves of assessment over 21 months (2017–2020). The S-UPPS-P impulse behavior scale was used at baseline to measure impulsivity, and frequency of e-cigarette, cigarette, marijuana and alcohol use was calculated at each wave thereafter. Results : Vaping frequency declined over time [Incidence Rate Ratio (IRR) = 0.92]. There were significant, stable, positive associations between e-cigarette use and lack of premeditation (IRR = 1.06) and sensation seeking (IRR = 1.09). Vaping frequency was inversely associated with negative urgency (IRR = 0.95). Positive urgency and lack of perseverance were not associated with frequency of vaping. Conclusion : These findings suggest that young adults who have higher impulsivity of certain types may use e-cigarettes more frequently. Thus, vaping interventions for young adults should address these factors to ensure the greatest impact on public health.

Non-surgical periodontal therapy with adjunct photodynamic therapy for the management of periodontal inflammation in adults using nicotine-free electronic-cigarette: A randomized control trial

ObjectiveThe aim was to assess the effect of non-surgical periodontal therapy (NSPT) with adjunct photodynamic treatment (PDT) for the management of periodontal inflammation in young electronic cigarette (E-cig) users. MethodsPatients with periodontal inflammation were included. Patient demographics and information related to E-Cig usage were recorded. Scores of plaque index (PI), bleeding index (BI), clinical attachment loss (AL) and probing depth (PD) recorded at baseline and at 3-months’ follow-up. Patients were randomly divided into test (NSPT + PDT) and control groups (NSPT) alone. Sample-size estimation was done using data from a pilot investigation and group comparisons were done. Correlation between periodontal parameters and duration of E-cig use was assessed using regression analysis models. Group-comparisons were done using the Mann Whitney U test; and logistic regression was done to correlate periodontal parameters with age, gender, frequency of vaping, number of puffs inhaled and oral hygiene maintenance protocols. Level of significance was set at P<0.01. ResultsTwenty-three and 23 individuals were randomly allocated to the test- and control-group, respectively. At baseline, PI, BI and PD were comparable in all patients. There was a significant reduction in PI (P<0.01), BI (P<0.01) and PD (P<0.01) in the test and control groups at 3-months’ follow-up when compared with their respective baseline scores. At 3-months’ follow-up, there was no significant difference in PI, BI and PD among patients in the test and control groups. There was no clinical evidence of clinical AL among patients in the test- and control groups at baseline and at 3-months’ follow-up. ConclusionIn the short-term, PDT is as effective as NSPT for the management of periodontal inflammation in young E-Cig users.