Objective. The study aims to determine the knowledge, attitudes and practices of Filipino adolescents aged 13-18 years old regarding cigarette smoking.

Methods. This is a descriptive cross-sectional study that utilized a questionnaire adapted from the Global Youth Tobacco Survey.

Results. The prevalence among study participants who tried smoking (11.8%) and current users (3.6%) is lower than the global statistics and the country's reported prevalence, but started at a younger age (5.3% started smoking at 12-13 years old). Electronic cigarette (12.9%) is more commonly tried and used than conventional cigarettes (11.8%). Ninety five percent (95%) of the participants view smoking as harmful. Some (13.5%) do not know the effects of smoking, 1.1% consider it harmless, and 8.2% have no objections to starting to smoke someday. Most adolescents (49.1%) do not know the price of cigarettes, but 22% prefer to pay less than the actual price.

Conclusion. Adolescents are knowledgeable and have a negative attitude towards smoking. Regardless if they are non-smokers, tried smoking, or are currently smoking, they still need to be educated more regarding the effects and consequences of smoking.

ABSTRACT

Objectives: To determine the prevalence of dysphonia, defined as any perceived voice pathology, in conventional cigarette smokers and e-cigarette users and to quantify and compare the Filipino Voice Handicap Index (VHI) scores of the two groups based on the mean scores for each of the three domains of this tool, as well as the mean total score for each group.

Methods: 

Design: Cross-sectional study

Setting: Tertiary National University Hospital

Participants: 52 adults between the ages 18-65 with no previously known laryngeal illness or condition were divided into 26 conventional smokers and 26 e-cigarette users and completed the self-administered Filipino Voice Handicap Index.

Results: The prevalence of impairment in the sample using a total VHI score cut-off of 18 was 17.31% (9 out of 52, CI 8.23-30.32%) and the prevalence of dysphonic symptoms in the sample was 86.54% (45 out of 52, CI 74.21-94.41%). There were no significant differences between smokers and e-cigarette users for impairment using this cut-off (z: -1.36, p: .07) and dysphonic symptoms (z: 0.4063, p: .68). The prevalence of moderate impairment was 3.85% (1 out of 26, CI: 0.10-19.64%) among those using e-cigarettes; and 1.92% (1 out of 52, CI: 0.04-10.26%) among the entire sample population.

Conclusion: There appears to be no statistically significant difference between the Filipino VHI scores of conventional smokers and e-cigarette users. Further inquiry into the subject would benefit from a larger sample size, comparison with a control group, inclusion of other factors relevant to the development of dysphonia, and correlation with objective means for voice analysis.

Objective: To examine the prevalence and trend of tobacco and e-cigarettes uses and identify the influencing factors for smoking behavior in junior middle school students in Shanghai, and provide data support and scientific basis for the development of tobacco control intervention strategy in adolescents. Methods: Multi-stage stratified random sampling method was used to select junior middle school students in 8 districts and 10 districts in Shanghai in 2013 and in 2019 respectively. Information about tobacco and e-cigarettes uses in the students were collected by using self-administrated questionnaire. The prevalence of tobacco and e-cigarettes uses were calculated, the difference between two years was compared with χ² test. The influencing factors were identified by multivariate logistic regression analysis. Results: In 2019, the current smoking rate was 0.6% in junior middle school students in Shanghai, and the smoking attempt rate was 2.9%, both were lower than the levels in 2013 (0.7% and 6.9%). The current use rate of e-cigarettes was 0.6% in 2019,with no significant change compared with 2013 (0.6%). The proportion of the students who had heard of e-cigarettes in 2019 (78.4%) was higher than that in 2013 (47.2%). In 2019, the second-hand smoke (SHS) exposure rate at home, in both indoor and outdoor public places and on public transportations was 72.5%, which was slightly lower than the level in 2013 (73.0%), the differences were all significant (P<0.05). In 2019, the students seeing close friend smoking (OR=27.381, 95%CI: 12.037-62.287), seeing someone smoking in school (OR=2.477, 95%CI: 1.155-5.312), believing that SHS may not be harmful (OR=8.471, 95%CI: 1.464-49.005) had higher possibility of smoking. Being aged ≥15 years (compared with being aged ≤12 years, OR=8.688, 95%CI: 1.922-39.266), exposure to SHS in outdoor public place (OR=8.608, 95%CI: 1.048-70.692), close friend smoking (OR=8.115, 95%CI: 1.754-37.545) were positively associated with e-cigarettes use, and believing that smoking results in uncomfortable social contact [compared with believing that smoking results in comfortable social contact (OR=0.105,95%CI: 0.018-0.615)] were negatively associated with e-cigarettes use, the difference was significant (P<0.05). Conclusion: The prevalence of tobacco and e-cigarette uses in junior middle school students in Shanghai remained at a low level in recent years. The SHS exposure rate in junior middle school students is high. Smoking behavior of junior middle school students is closely related to personal attitude and awareness of tobacco, exposure to SHS, peer smoking and the situation of tobacco control in schools. Prevention and intervention should be carried out from multi-dimensions to effectively protect teenagers from tobacco hazards.
Adolescent ; China/epidemiology* ; Electronic Nicotine Delivery Systems ; Humans ; Prevalence ; Students ; Tobacco ; Tobacco Smoke Pollution

Humans ; Adult ; Cigarette Smoking/epidemiology* ; Prevalence ; Electronic Nicotine Delivery Systems ; Tobacco Products ; Republic of Korea/epidemiology*

Objective: To explore the influencing factors of electronic cigarette use among adolescent students in China. Methods: We searched CNKI, Database of Chinese sci-tech periodicals (VIP), Wan-fang database, PubMed, Web of Science and ScienceDirect for potentially relevant articles published from the inception to March 20th, 2023. The Metagen package in R was used for Meta-analysis. Results: A total of 19 publications with a sample size of 5 336 017 were identified. The results showed that electronic cigarette use among Chinese adolescent students was associated with gender (OR=2.41, 95%CI: 2.03-2.86), close friends smoking (OR=3.02, 95%CI: 2.08-4.39), current smoking (OR=11.26, 95%CI: 4.35-29.18), friends using electronic cigarettes (OR=5.19, 95%CI: 2.01-13.38), thinking smoking makes young people look more attractive (OR=2.00, 95%CI: 1.35-2.97), type of school (OR=2.10, 95%CI: 1.59-2.78), thinking smoking makes people feel more comfortable in social situations (OR=3.58, 95%CI: 2.99-4.28), other tobacco use (OR=5.53, 95%CI: 3.33-9.20), and ever experimented with cigarette use (OR=9.32, 95%CI: 4.38-19.80). Conclusion: The influencing factors for electronic cigarette use among adolescent students in China include gender, close friends smoking, current smoking, friends using electronic cigarettes, thinking smoking makes young people look more attractive, type of school, thinking smoking makes people feel more comfortable in social situations, other tobacco use, and ever experimented with cigarette use.
Adolescent ; Humans ; Cross-Sectional Studies ; East Asian People ; Electronic Nicotine Delivery Systems ; Students ; Vaping

Objective: To explore the influencing factors of electronic cigarette use among adolescent students in China. Methods: We searched CNKI, Database of Chinese sci-tech periodicals (VIP), Wan-fang database, PubMed, Web of Science and ScienceDirect for potentially relevant articles published from the inception to March 20th, 2023. The Metagen package in R was used for Meta-analysis. Results: A total of 19 publications with a sample size of 5 336 017 were identified. The results showed that electronic cigarette use among Chinese adolescent students was associated with gender (OR=2.41, 95%CI: 2.03-2.86), close friends smoking (OR=3.02, 95%CI: 2.08-4.39), current smoking (OR=11.26, 95%CI: 4.35-29.18), friends using electronic cigarettes (OR=5.19, 95%CI: 2.01-13.38), thinking smoking makes young people look more attractive (OR=2.00, 95%CI: 1.35-2.97), type of school (OR=2.10, 95%CI: 1.59-2.78), thinking smoking makes people feel more comfortable in social situations (OR=3.58, 95%CI: 2.99-4.28), other tobacco use (OR=5.53, 95%CI: 3.33-9.20), and ever experimented with cigarette use (OR=9.32, 95%CI: 4.38-19.80). Conclusion: The influencing factors for electronic cigarette use among adolescent students in China include gender, close friends smoking, current smoking, friends using electronic cigarettes, thinking smoking makes young people look more attractive, type of school, thinking smoking makes people feel more comfortable in social situations, other tobacco use, and ever experimented with cigarette use.
Adolescent ; Humans ; Cross-Sectional Studies ; East Asian People ; Electronic Nicotine Delivery Systems ; Students ; Vaping

Objective: To describe the prevalence of e-cigarette use among adolescent in Zhejiang province, and to analyze its distribution of different genders and school types to provide evidence for controlling the use of e-cigarette among adolescent. Methods: A total of 7 663 students from 60 middle schools through stratified multi-stage cluster sampling methods from Zhejiang province were surveyed by using questionnaire. Indicators as tried to use e-cigarette rate, current e-cigarette using rate, and other indicators were collected. All data were weighted by age proportions of adolescent in Zhejiang. Results: The prevalence of tried to use and current using e-cigarettes among middle school students were 6.99% and 1.45%, respectively; and there were 4.19% juniors who were susceptibility to future e-cigarette use. The rate of tied to use e-cigarette, current using e-cigarette and susceptibility to future e-cigarette use were higher in boys than in girls. The rate of current using e-cigarette was 2.07% for rural and 0.48% for urban. Technical secondary school students had the highest rate of tried to use e-cigarette and susceptibility to future e-cigarette use (13.53%, 6.91%). Junior school students (2.96%) had the lowest level of susceptibility to future tobacco use. The rate of tried e-cigarette use and current e-cigarette use and susceptibility to future e-cigarette use were higher in the group of "One of students' parents was smoker" (8.63%, 2.19%, 5.23%). The highest rate of current smoking was found in the group of "Weekly allowance more than 50 Yuan" (10.02%, 2.54%, 6.29%). Compared to technical secondary school students, senior school student (OR=0.57) and junior school students (OR=0.45) were less likely to try to use e-cigarette. Students whose weekly allowance were less than 20 Yuan were less likely to try to use e-cigarette (OR=0.49). Students who were boys (OR=5.44) and one of their parents was smoker (OR=1.59) were more likely to try to use e-cigarette. Conclusions: There were middle school students with tried e-cigarette use and current e-cigarette use, especially in technical secondary schools. The prevalence of e-cigarette using among middle school students increased with age. It is important to further spread of e-cigarette knowledge widely and deeply, and reduce the susceptible population of adolescents using e-cigarettes.
Adolescent ; China/epidemiology* ; Electronic Nicotine Delivery Systems ; Female ; Humans ; Male ; Prevalence ; Schools ; Surveys and Questionnaires ; Tobacco Products ; Vaping

Objective: To describe the relapse status of smokers aged ≥15 years in China, and investigate the main factors influencing their relapse behavior. Methods: The data of this study cames from the 2018 China Adult Tobacco Survey, covering 400 committees or villages in 200 districts or counties in 31 provinces (autonomous regions and municipalities) of China. The relevant data of smoking and relapsing in residents aged ≥15 years were collected by face-to-face interview. Software SAS 9.4 was used to clean and analyze the data, and logistic regression model was used to analyze the influencing factors for relapse rate. Results: A total of 19 376 questionnaires were completed, with a response rate of 91.50%. In 2018, 66.05% of smokers aged ≥15 years in China had smoking relapse, in whom 66.59% were males and 55.79% were females. In all age groups, the age group 15-24 years had the highest smoking relapse rate (82.63%). Multivariate analysis showed that the younger age 15-24 years (OR=4.618,95%CI:1.981-10.763), e-cigarette use (OR=9.782,95%CI:3.139-30.490), and tobacco advertising, promotion and sponsorship in the past 30 days (OR=1.710,95%CI:1.291-2.265) were associated with higher smoking relapse rate. Compared with people who were allowed smoking at home or those without smoking limit, the smoking relapse rate in people who were not allowed to smoke at home (OR=0.562, 95%CI: 0.439-0.719) or those with smoking limit (OR=0.487, 95%CI: 0.366-0.647) was lower. Conclusion: The smoking relapse rate in Chinese smokers is high, especially in young people. It is suggested to conduct targeted intervention based on the results of this study to reduce the smoking relapse rate and help achieve the smoking control goal in Healthy China 2030.
Adolescent ; Adult ; China/epidemiology* ; Chronic Disease ; Electronic Nicotine Delivery Systems ; Female ; Humans ; Male ; Recurrence ; Smokers ; Smoking/epidemiology* ; Tobacco

OBJECTIVES: To establish a combined high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) and gas chromatography-mass spectrometry (GC-MS) method to detect the synthetic cannabinoid CUMYL-PEGACLONE in e-cigarette oil and hair. METHODS: HPLC-MS/MS and GC-MS were used to establish the detection method of CUMYL-PEGACLONE, and the hair of drug-involved persons and the seized e-cigarette oil were detected. RESULTS: The main mass spectrometry characteristic ions m/z of CUMYL-PEGACLONE measured by GC-MS were 91, 179, 197, 254 and 372. CUMYL-PEGACLONE had a good linear relationship in the mass concentration range of 2-50 ng/mL, and the linear correlation coefficient (r) was greater than 0.99. The limit of detection (LOD) of CUMYL-PEGACLONE in hair was 0.01 ng/mg, and the limit of quantitation (LOQ) was 0.02 ng/mg. The LOD of CUMYL-PEGACLONE in e-cigarette oil was 1 ng/mg, and the LOQ was 2 ng/mg. The average recoveries of CUMYL-PEGACLONE under the attempt at high, intermediate and low levels in blank human hair and e-cigarette oil matrix were 98.2%-132.4% and 93.5%-110.6%, and the intraday and intraday precision were 1.2%-12.9% and 0.7%-2.9%. CUMYL-PEGACLONE was detected in the hair of 15 drug-involved persons. Except for 1 person who was lower than LOQ, the concentration of CUMYL-PEGACLONE in the hair of other 14 persons was 0.035-0.563 ng/mg. The mass fraction of CUMYL-PEGACLONE in 2 e-cigarette oil were 0.17% and 0.21%, respectively. CONCLUSIONS The established HPLC-MS/MS and GC-MS methods are applied to the detection of HPLC-MS/MS in drug-related cases, which provides strong evidence support for the handling authority to quickly investigate these cases, and also provides a reference for the identification of such substances in future.
Humans ; Illicit Drugs/analysis* ; Tandem Mass Spectrometry ; Electronic Nicotine Delivery Systems ; Cannabinoids ; Hair/chemistry* ; Limit of Detection ; Substance Abuse Detection/methods*

To evaluate e-cigarette vaping-induced respiratory toxicity and the interventional effects of air cleaners. A randomized controlled trial study of toxic vaping by the respiratory tract were conducted at the Key Laboratory of Environmental Medical Engineering, Ministry of Education, the School of Public Health, Southeast University from January to December 2022. 8-week-old male C57BL/6JGpt mice selected with a random number table method were used to establish a vaping-exposure model at different periods (0 d, 3 d, 7 d or 14 d), or exposed to clean air as a control group. Mice were exposed to regular heated vaping (200 ℃) and high-temperature heated vaping (280 ℃). Total lung RNA was extracted from control and e-cigarette exposed mice for transcriptome sequencing analysis. Reactive Oxygen Species (ROS) generation and mitochondrial membrane potential (MMP) were detected by flow cytometry. Total superoxide dismutase (SOD) and superoxide (O^2-) were evaluated using a microplate reader. Real-Time Quantitative PCR (RT-qPCR) was used to detect gene expression. Air filter and ionizer were used to intervene the toxicity of vaping. Data were expressed as (x¯±s), differences between multiple groups were compared using one-way or two-way ANOVA. The results showed that, RNA sequencing assays suggested that the differential genes between the control and vaping exposure groups were significantly enriched in the oxidative stress (Fold Enrichment=3.18) and mitochondrial oxidative phosphorylation (OXPHOS) (Fold Enrichment=5.74) pathways. Both types of heated vaping exposure caused significantly increased the score of alveolitis (F=10.8, P<0.001), increased endogenous ROS generation (F=16.8, P<0.001), decreased MMP (F=13.6, P<0.01), and gene expression of mitochondrial complex I dysfunction. The toxic effects of high-temperature heated vaping were stronger compared to regular heated vaping (F=2.9, P<0.05). The filter demonstrated better protective effects against vaping than the ionizer by reducing pulmonary alveolitis (F=7.4, P<0.01). Air cleaners could partially alleviate oxidative stress and mitochondrial dysfunction. In conclusion, this study demonstrate that vaping brings potential health risks. Air cleaners could partially reverse mitochondrial dysfunction, but cannot completely prevent the toxic effects, effective interventions remain to be investigated.
Humans ; Male ; Animals ; Mice ; Mice, Inbred C57BL ; Electronic Nicotine Delivery Systems ; Reactive Oxygen Species ; Vaping ; Mitochondrial Diseases