2.Nationwide Trends in the Prevalence of Cigarette and E-cigarette Smoking among Korean Adults between 2014-2021: A Representative Serial Study of 1.2 Million Individuals.
Minji KIM ; Wonyoung CHO ; Jinseok LEE ; Yong Sung CHOI ; Seung Geun YEO ; Young Joo LEE ; Sang Youl RHEE ; Chanyang MIN ; Dong Keon YON
Biomedical and Environmental Sciences 2023;36(10):996-998
3.Influencing factors for electronic cigarette use among Chinese adolescent students: a Meta-analysis.
Xun GONG ; Chang Ming WANG ; Li Na LI ; Shao Bo LYU
Chinese Journal of Preventive Medicine 2023;57(10):1640-1646
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
4.The pulmonary toxicity of e-cigarette vaping exposure and the benefits of air cleaner application.
Sheng Nan WEI ; Cong LIU ; Bin LI ; Fan YANG ; Nan Nan HUANG ; Xiao Bo LI ; Rui CHEN
Chinese Journal of Preventive Medicine 2023;57(12):2171-2180
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 (O2-) 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
5.Qualitative and Quantitative Analysis of Five Indoles or Indazole Amide Synthetic Cannabinoids in Suspected E-Cigarette Oil by GC-MS.
Cui-Mei LIU ; Wei JIA ; Chun-Hui SONG ; Zhen-Hua QIAN ; Zhen-Dong HUA ; Yue-Meng CHEN
Journal of Forensic Medicine 2023;39(5):457-464
OBJECTIVES:
To establish the GC-MS qualitative and quantitative analysis methods for the synthetic cannabinoids, its main matrix and additives in suspicious electronic cigarette (e-cigarette) oil samples.
METHODS:
The e-cigarette oil samples were analyzed by GC-MS after diluted with methanol. Synthetic cannabinoids, its main matrix and additives in e-cigarette oil samples were qualitatively analyzed by the characteristic fragment ions and retention time. The synthetic cannabinoids were quantitatively analyzed by using the selective ion monitoring mode.
RESULTS:
The linear range of each compound in GC-MS quantitative method was 0.025-1 mg/mL, the matrix recovery rate was 94%-103%, the intra-day precision relative standard deviations (RSD) was less than 2.5%, and inter-day precision RSD was less than 4.0%. Five indoles or indazole amide synthetic cannabinoids were detected in 25 e-cigarette samples. The main matrixes of e-cigarette samples were propylene glycol and glycerol. Additives such as N,2,3-trimethyl-2-isopropyl butanamide (WS-23), glycerol triacetate and nicotine were detected in some samples. The content range of synthetic cannabinoids in 25 e-cigarette samples was 0.05%-2.74%.
CONCLUSIONS
The GC-MS method for synthesizing cannabinoid, matrix and additive in e-cigarette oil samples has good selectivity, high resolution, low detection limit, and can be used for simultaneous qualitative and quantitative analysis of multiple components; The explored fragment ion fragmentation mechanism of the electron bombardment ion source of indole or indoxamide compounds helps to identify such substances or other compounds with similar structures in cases.
Gas Chromatography-Mass Spectrometry/methods*
;
Electronic Nicotine Delivery Systems
;
Illicit Drugs/analysis*
;
Indazoles/chemistry*
;
Glycerol/analysis*
;
Cannabinoids
;
Indoles/chemistry*
;
Ions
6.Influencing factors for electronic cigarette use among Chinese adolescent students: a Meta-analysis.
Xun GONG ; Chang Ming WANG ; Li Na LI ; Shao Bo LYU
Chinese Journal of Preventive Medicine 2023;57(10):1640-1646
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
7.The pulmonary toxicity of e-cigarette vaping exposure and the benefits of air cleaner application.
Sheng Nan WEI ; Cong LIU ; Bin LI ; Fan YANG ; Nan Nan HUANG ; Xiao Bo LI ; Rui CHEN
Chinese Journal of Preventive Medicine 2023;57(12):2171-2180
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 (O2-) 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
8.Smoking relapse rate and influencing factors in smokers aged 15 years and above in China.
Xin Bo DI ; Shi Wei LIU ; Hui Yu XIE ; Xin Ying ZENG ; Zi Da MENG ; Lin XIAO
Chinese Journal of Epidemiology 2022;43(9):1388-1393
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
9.Comparative analysis on prevalence of tobacco and e-cigarettes uses in junior middle school students in Shanghai, 2013 and 2019.
Xiao Xian JIA ; Kun XU ; Bei Bei CHE ; Jing Rong GAO ; Zhi Yong HUANG ; Jian WANG ; Xiao Xia WEI ; Kun Lei LE ; Zheng Yang GONG ; Yuan Qiao SUN ; Chen Chen XIE ; Jia Cheng XI ; Yu Zhi CHENG ; Zhu Yan ZHUYAN ; Yuan DING ; De CHEN
Chinese Journal of Epidemiology 2022;43(9):1408-1414
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
10.Adolescent smoking: A cross-sectional study on the knowledge, attitude and practices of Filipino adolescents in a tertiary hospital.
Natasha Ann R. ESTEBAN-IPAC ; Vanessa Maria TORRES-TICZON
Acta Medica Philippina 2022;56(9):9-17
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.
Smoking ; Tobacco Use ; Electronic Nicotine Delivery Systems ; Vaping ; Adolescent


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