1.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
2.Dysphonia in Smokers of Combustible Cigarettes and E-cigarettes Measured Using the Filipino Voice Handicap Index.
Maria Angela S DEALINO ; Anna Pamela C DELA CRUZ
Philippine Journal of Otolaryngology Head and Neck Surgery 2022;37(1):27-32
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.
Dysphonia ; Smoking ; Vaping ; Electronic Nicotine Delivery Systems ; Tobacco Products
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
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Humans
;
Cross-Sectional Studies
;
East Asian People
;
Electronic Nicotine Delivery Systems
;
Students
;
Vaping
4.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
5.Study on epidemiological status of e-cigarette use among adolescent in Zhejiang province, China.
Yue XU ; Qing Qing WU ; Shui Yang XU ; He Ni CHEN ; Xue Hai ZHANG
Chinese Journal of Epidemiology 2022;43(4):528-532
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
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China/epidemiology*
;
Electronic Nicotine Delivery Systems
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Female
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Humans
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Male
;
Prevalence
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Schools
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Surveys and Questionnaires
;
Tobacco Products
;
Vaping
6.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
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Male
;
Animals
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Mice
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Mice, Inbred C57BL
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Electronic Nicotine Delivery Systems
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Reactive Oxygen Species
;
Vaping
;
Mitochondrial Diseases
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