Poly-Tobacco Use among High School Students. 2015

Sarah D Kowitt, and Tanha Patel, and Leah M Ranney, and Li-Ling Huang, and Erin L Sutfin, and Adam O Goldstein
Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. kowitt@email.unc.edu.

Although cigarette use by adolescents is declining, emerging tobacco products are becoming increasingly popular and youth may use more than one type of tobacco product. The purposes of this study were: (1) to assess patterns of poly-tobacco use among a representative sample of high school students and (2) to determine how beliefs correlate with poly-tobacco use. Data came from the 2013 North Carolina Youth Tobacco Survey (n = 4092). SAS logistic regression survey procedures were used to account for the complex survey design and sampling weights. Among all high school students in NC in 2013, 29.7% reported current any tobacco use, with 19.1% reporting current poly-tobacco use, and 10.6% reporting current use of only one product. Among poly-tobacco users, 59.3% reported that one of the products they currently used was cigarettes. Positive tobacco product beliefs were found to be significantly associated with poly-tobacco use. Communication campaigns, policy efforts, and future research are needed for prevention, regulation, and control of poly-tobacco use among adolescents, which represents a significant public health problem.

UI MeSH Term Description Entries
D007722 Health Knowledge, Attitudes, Practice Knowledge, attitudes, and associated behaviors which pertain to health-related topics such as PATHOLOGIC PROCESSES or diseases, their prevention, and treatment. This term refers to non-health workers and health workers (HEALTH PERSONNEL). Knowledge, Attitudes, Practice
D008297 Male Males
D009657 North Carolina State bounded on the north by Virginia, on the east and Southeast by the Atlantic Ocean, on the south by Georgia and South Carolina, and on the west by Tennessee.
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D005260 Female Females
D006306 Health Surveys A systematic collection of factual data pertaining to health and disease in a human population within a given geographic area. Abortion Surveys,Abortion Survey,Health Survey,Survey, Abortion,Survey, Health,Surveys, Abortion,Surveys, Health
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000293 Adolescent A person 13 to 18 years of age. Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths
D016015 Logistic Models Statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable. A common application is in epidemiology for estimating an individual's risk (probability of a disease) as a function of a given risk factor. Logistic Regression,Logit Models,Models, Logistic,Logistic Model,Logistic Regressions,Logit Model,Model, Logistic,Model, Logit,Models, Logit,Regression, Logistic,Regressions, Logistic
D062789 Tobacco Products Substances and products derived from NICOTIANA TABACUM. Cigarettes,Cigars,Bidis,Bidis Tobacco,Cigarillos,Kreteks,Kreteks Tobacco,Pipe Tobacco,Tobacco, Bidi,Bidi,Bidi Tobacco,Bidi Tobaccos,Bidis Tobaccos,Cigar,Cigarette,Cigarillo,Kretek,Kreteks Tobaccos,Pipe Tobaccos,Product, Tobacco,Products, Tobacco,Tobacco Product,Tobacco, Bidis,Tobacco, Kreteks,Tobacco, Pipe,Tobaccos, Bidi,Tobaccos, Bidis,Tobaccos, Kreteks,Tobaccos, Pipe

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