A Multilevel Analysis of Data from Global Youth Tobacco Use Data (GYTS) 2014
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J Glob Health Sci. 2019 Jun;1(1):e3 https://doi.org/10.35500/jghs.2019.1.e3 pISSN 2671-6925·eISSN 2671-6933 Original Article Smoking susceptibility among school children aged 13–15 in Vietnam: a multilevel analysis of data from Global Youth Tobacco Use data (GYTS) 2014 Van Minh Hoang ,1,* Juhwan Oh ,2,* Thi Tu Quyen Bui ,1 Thi Hoang Lan Vu ,1 Tu Hoang Le ,1 Thuy Linh Nguyen ,1 Bao Giang Kim ,3 Ngoc Minh Luu ,4 Quang Cuong Le ,5 Ngoc Hoat Luu 4 1Department of Epidemiology and Biostatistics, Hanoi University of Public Health, Hanoi, Vietnam 2JW LEE Center for Global Medicine of Seoul National University College of Medicine, Seoul, Korea 3Department of Health Education and Promotion, Institute for Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam Received: Mar 26, 2019 4Department of Biostatistics and Medical Informatics, Institute for Preventive Medicine and Public Health, Accepted: May 5, 2019 Hanoi Medical University, Hanoi, Vietnam 5Department of Neurology, Hanoi Medical University, Hanoi, Vietnam Correspondence to Van Minh Hoang Department of Epidemiology and Biostatistics, Center for Population Health Sciences, Hanoi ABSTRACT University of Public Health, 1A Duc Thang Street, North Tu Liem, Hanoi 10119, Vietnam. Background: We aim to assess the prevalence of smoking susceptibility and identify factors E-mail: [email protected] at school and individual levels that are associated with individual susceptibility to smoking Juhwan Oh among school children aged 13–15 years in Vietnam. JW LEE Center for Global Medicine of Seoul Methods: Data came from Vietnam Global Youth Tobacco Survey (GYTS) 2014. A 2-stage National University College of Medicine, 71 sample design and proportion to population size (PPS) technique was employed to select a Ihwajang-gil, Jongno-gu, Seoul 03087, Korea. representative sample of study participants. Independent variables include both individual E-mail: [email protected] and school-level characteristics. Both descriptive and inferential statistics were performed. *Van Minh Hoang and Juhwan Oh contributed Logistic multilevel models were constructed to analyze the association between independent equally to this paper. variables and smoking susceptibility status. © 2019 Korean Society of Global Health. Results: The overall percentage of smoking susceptibility status was 11.2%. Boys were more This is an Open Access article distributed susceptible to smoking than girls. The odds of smoking susceptibility were higher among under the terms of the Creative Commons students who had both of their parents smoking (adjusted odds ratio [aOR], 3.91; 95% Attribution Non-Commercial License (https:// confidence interval [CI], 2.17–7.05) and those whose best friends smoked (aOR, 4.79; 95% creativecommons.org/licenses/by-nc/4.0/) CI, 2.40–9.54). Knowledge on harmfulness of smoking was associated with lower odds of which permits unrestricted non-commercial use, distribution, and reproduction in any smoking susceptibility. Among school level factors, the schools with greater access to anti- medium, provided the original work is properly smoking media were associated with lower susceptibility to smoking among their students cited. (coefficient = −0.028; standard error = 0.011,P < 0.05). Conclusion: This study highlights the importance of contextual exposure to anti-smoking ORCID iDs media among the children. With the availability of multilevel modeling as an analytical tool, Van Minh Hoang https://orcid.org/0000-0002-4749-5536 further refinements in the understanding of contextual effects on smoking status are needed Juhwan Oh to facilitate the development of school level policy and interventions in addition to individual https://orcid.org/0000-0003-0983-4872 level approaches. Thi Tu Quyen Bui https://orcid.org/0000-0002-5061-8488 Keywords: Tobacco smoking; Adolescent health; Statistics; Multilevel analysis; School health https://e-jghs.org 1/11 Smoking susceptibility of school children in Vietnam Thi Hoang Lan Vu INTRODUCTION https://orcid.org/0000-0001-8528-357X Tu Hoang Le Smoking is very common in Vietnam, especially among men. Data from the Vietnam Global https://orcid.org/0000-0002-5482-7914 Adult Tobacco Surveys (GATS) showed that the prevalence of tobacco smoking among Thuy Linh Nguyen https://orcid.org/0000-0002-9233-1143 Vietnamese adults aged 15 years and over was 23.8% (47.4% among men and 1.4% among Bao Giang Kim women) in 20101 and 22.5% (45.3% among men and 1.1% among women) in 2015.2 https://orcid.org/0000-0003-2290-0205 Ngoc Minh Luu Even though the prevalence of current smoking among adolescents in Vietnam seems to be https://orcid.org/0000-0001-6363-8894 low, i.e. 3.9% (5.9% among boys and 1.2% among girls) in 20073 and 3.5% (6.3% among Quang Cuong Le 4 https://orcid.org/0000-0002-7363-398X boys and 0.9% among girls) in 2014, the problem of youth smoking in Vietnam should not Ngoc Hoat Luu be underestimated because tobacco industry has been trying to expand cigarette markets https://orcid.org/0000-0001-6911-5410 by promoting cigarettes to adolescents. Also, youth smokers are 3 times more likely to use alcohol, 8 times more likely to use marijuana, and 22 times more likely to use cocaine than Funding non-smokers. Smoking is associated with a host of other risky behaviors, such as fighting and This work was supported by Hanoi University 5 of Public Health and JW LEE Center for Global engaging in unprotected sex, etc. Medicine of Seoul National University College of Medicine through multi-level statistical Smoking uptake behavior among adolescents was shown to progress through a sequence method workshops in Hanoi. of developmental stages, including preparation, contemplation, trier, experimenter, and 6 Conflict of Interest regular and established smoker. Susceptibility to smoking is an important cognitive change The authors whose names are listed above during the preparation stage that leads to experimentation with cigarettes.7 Susceptibility certify that they have NO affiliations with or to smoking is defined as “lack of firm decision against smoking and usually starts in the involvement in any organization or entity perception and/or initiation stages of smoking behavior”.7 with any financial interest (such as honoraria; educational grants; participation in speakers' bureaus; membership, employment, Taking advantage of data from the Vietnam Global Youth Tobacco Survey (GYTS) 2014, which consultancies, stock ownership, or other was initiated by the World Health Organization (WHO), Tobacco Free Initiative, and the equity interest; and expert testimony Center for Disease Control and Prevention (CDC) Office on Smoking and Health,8,9 we aim or patent-licensing arrangements), or to assess the prevalence of susceptibility to smoking among school children aged 13–15 years non-financial interest (such as personal in Vietnam and to identify factors at school and individual levels that have associations with or professional relationships, affiliations, individual susceptibility to smoking. knowledge or beliefs) in the subject matter or materials discussed in this manuscript. Author Contributions METHODS Conceptualization: Hoang VM, Oh J; Data curation: Hoang VM; Formal analysis: Bui TTQ; Investigation: Oh J; Methodology: Participants Hoang VM, Oh J, Bui TTQ, Kim BG; Project We used the data from Vietnam GYTS 2014. GYTS is an internationally standardized school- administration: Hoang VM; Supervision: based survey that has been conducted in more than 140 countries.10 The Vietnam GYTS Hoang VM, Oh J; Validation: Hoang VM, Oh 2014 was conducted among 3,549 school children aged 13 to 15 years from 40 schools in the J; Writing - original draft: Hoang VM, Oh J; country. A 2-stage sample design and proportion to population size (PPS) technique was Writing - review & editing: Hoang VM, Oh J, employed to select a representative sample of study children. The international version of Bui TTQ, Vu THL, Le TH, Nguyen TL, Kim BG, 11 Luu NM, Le QC, Luu NH. the original questionnaire was adapted to the Vietnamese context and used for the survey. Data collection was coordinated by the Hanoi Medical University and Vietnam Steering Committee on Smoking and Health (VINACOSH). CDC's guidance was applied in all procedures of data collection and management. The overall response rate of the Vietnam GYTS 2014 was 95.1%.9 Instruments The description of the study variables is presented in Table 1. Dependent variable is smoking susceptibility status among school children aged 13–15 years in Vietnam. Smoking susceptibility was assessed through the following questions and responses: https://e-jghs.org https://doi.org/10.35500/jghs.2019.1.e3 2/11 Smoking susceptibility of school children in Vietnam Table 1. Description of the study variables Variables Questions Original response options Definition used in this paper Dependent variables Smoking susceptibility If one of your best friends invited you a 1 = Definitely not, 2 = Probably not, Students who answered “definitely not” tobacco product, would you smoke it? 3 = Probably yes, 4 = Definitely yes to both questions were considered non- During the next 12 months, do you think 1 = Definitely not, 2 = Probably not, susceptible and all the other students you will smoke any form of tobacco 3 = Probably yes, 4 = Definitely yes were considered susceptible product? Independent variables Individual characteristics Gender 1 = Boy, 2 = Girl 1 = Boy, 2 = Girl Age How old are you? 1 = Aged 13, 2 = Aged 14, 3 = Aged 15 1 = Aged 13, 2 = Aged 14, 3 = Aged 15 Parental smoking Do your