METHODS: Sixty-one participants were recruited into a vapers group and a control group. The vapers group was instructed to smoke for 5 minutes, and their nasal resistance was measured pre-procedure and at 1 and 5 minutes post-procedure. The results were compared between both groups.
RESULTS: Repeated measures analysis of variance demonstrated that vaping has no statistically significant effect on total nasal airway resistance.
CONCLUSION: Although the differences between both groups were not statistically significant overall, the vapers group showed a reduction in nasal airway resistance in the short term.
METHODS: Subjects were recruited among those responding to a social media announcement or patients attending the SEGi Oral Health Care Centre between May and December 2019, and among some staff at the centre. Five ml of unstimulated whole saliva was collected and salivary LDH enzyme activity levels were measured with a LDH colorimetric assay kit. Salivary LDH activity level was determined for each group and compared statistically.
RESULTS: Eighty-eight subjects were categorized into three groups (control n=30, smokers n=29, and vapers n=29). The mean ± standard deviation (SD) values for salivary LDH activity levels for vapers, smokers, and control groups were 35.15 ± 24.34 mU/ml, 30.82 ± 20.73 mU/ml, and 21.45 ± 15.30 mU/ml, respectively. The salivary LDH activity levels of smoker and vaper groups were significantly higher than in the control group (p = 0.031; 0.017). There was no significant difference of salivary LDH activity level in vapers when compared with smokers (p= 0.234).
CONCLUSION: Our findings showed higher LDH levels in the saliva of vapers when compared with controls, confirming cytotoxic and harmful effects of e-cigarettes on the oral mucosa.
METHODS: We analyzed 30 Malaysia-based retailer websites using a mixed methods approach. Data were extracted as the frequency of occurrences of marketing claims, presence of regulatory information, product types, and flavors of e-juice as per a predefined codebook based on published literature. We also extracted textual details published on the websites about marketing claims, and slogans.
RESULTS: Most retailer websites provided contact information and physical store addresses (83%) but only half had 'click through' age verification (57%) that seldom needed any identification proof for age (3%). Marketing claims were related to health (47%), smoking cessation (37%), and modernity/trend (37%) and none had health warnings. Promotional strategies were discounts (80%). starter kits (57%) and email subscriptions (53%). Product types displayed were rechargeable (97%) and disposable (87%) devices and e-liquids (90%) of an array of flavors (> 100). Nicotine presence, its concentration, and "nicotine is an addictive chemical" were displayed in 93%, 53%, and 23% of websites respectively.
CONCLUSION: Surveillance of content displayed online on e-cigarette retailer websites and regulation of online marketing and sales should be implemented by the Ministry of Health, Malaysia. Such measures are needed to prevent access to, and initiation of e-cigarette use among the youth and adults who do not smoke.
DESIGN: Cross-sectional.
SETTING: 14 countries.
PARTICIPANTS: Surveyed population ≥15 years selected through multi-stage cluster sampling.
PRIMARY AND SECONDARY OUTCOME MEASURES: We selected 14 countries from 6 different WHO regions where GATS was conducted in different years during 2011-2017.
RESULTS: Awareness and usage of e-cigarette were highest in Greece and lowest in India. Females were less aware of e-cigarette across ages. The gender gap in awareness is wide in Greece post 50 years of age, while the gap is distinct in early ages in Kazakhstan and Qatar. The gender difference in use of e-cigarette was negligible in most of the countries except among the younger cohorts of Russia, Philippines Malaysia and Indonesia. Relatively higher prevalence of e-cigarette smoking among females in the older adult age was observed in some of the Asian countries like India. Multivariate analysis indicates that those who were younger, male, residing in urban areas, current tobacco smokers were more likely to use e-cigarette than their counterparts. Though prevalence of e-cigarette use increased with wealth and education, such pattern is not strong and consistent. Promotional advertisement plays important role in higher use of e-cigaratte. The predicted national prevalence of e-ciragette use was highest in Malaysia .
CONCLUSIONS: E-cigarette use is more among urban adults, current smokers, males and in countries with promotional advertisement of e-cigarette. Area specific interventions are needed to understand the nature of e-cigarette use. Russia, Ukraine, Costa Rica and Mexico need better understanding to explore whether e-cigaratte use is an indulgence to new mode of addiction, as youth being highly likely to adopt this practice.
AIMS AND METHODS: Global Youth Tobacco Survey (GYTS)s from Georgia, Iraq, Italy, Latvia, Montenegro, Paraguay, Peru, Qatar, Romania, and San Marino were analyzed. Changes in prevalence of "awareness of e-cigarettes," "ever use" (even tried a few puffs) and "current use" (during last 30 days) of e-cigarettes and cigarette smoking, and "dual use" (both e-cigarette and cigarette smoking) between baseline (2013 and 2014) and most recent (2017-2019) surveys were estimated.
RESULTS: "Awareness of e-cigarettes" and "ever e-cigarette use" significantly increased (p 50% in most countries. During the most recent surveys, "current e-cigarette" use was > 10% in five countries Italy (18.3%) and Latvia (18.5%) being the highest. Cigarette smoking significantly declined in Italy, Latvia, Peru, and San Marino (p
METHODS: We observed 70 SUs and 148 DUs for 52 weeks and tested their exhaled carbon monoxide and saliva cotinine to confirm their complete nicotine cessation status through cotinine in saliva. Safety issues were to be identified through self-report. Smoking cessation, CCs reduction of ≥ 50%, and relapsed to CCs smoking and safety issues were also documented.
RESULTS: The nicotine cessation rate was higher in SUs then DUs (15.9% vs. 6.8%; P = 0.048; 95% CI (2.328-0.902). A similar result for smoking cessation (34.8% SUs vs. 17.1% DUs; P = 0.005; 95% CI: 2.031-0.787), whereas CCs ≥ 50% reduction was 23.3% DUs vs 21.7% SUs (P = 0.863; 95% CI :1.020-0.964). Relapse to CC smoking was 47.3% in DUs versus 30.4% in SUs (P = 0.026; 95% CI: 1.555-0.757). The adverse effects reported were coughing and breathing problems, whereas craving smoking was documented as a major withdrawal symptom. Smoking-related diseases were also identified, five in DUs and two in SUs, during the one-year study period.
CONCLUSIONS: Study showed SUs achieved higher complete nicotine and smoking cessation rates as compared to DUs. However, the rates of reduced CC use were not different between both the groups. No serious adverse effects related to the sole use of ECs were detected. However, the safety of the sole use of ECs in absolute terms needs to be further validated in different populations.