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Associations of risk factors of e-cigarette and cigarette use and susceptibility to use among baseline PATH study youth participants (2013-2014).
Sawdey, Michael D; Day, Hannah R; Coleman, Blair; Gardner, Lisa D; Johnson, Sarah E; Limpert, Jean; Hammad, Hoda T; Goniewicz, Maciej L; Abrams, David B; Stanton, Cassandra A; Pearson, Jennifer L; Kaufman, Annette R; Kimmel, Heather L; Delnevo, Cristine D; Compton, Wilson M; Bansal-Travers, Maansi; Niaura, Raymond S; Hyland, Andrew; Ambrose, Bridget K.
  • Sawdey MD; Office of Science, Center for Tobacco Products, Food and Drug Administration, Silver Spring, MD, USA. Electronic address: Michael.Sawdey@fda.hhs.gov.
  • Day HR; Office of Science, Center for Tobacco Products, Food and Drug Administration, Silver Spring, MD, USA.
  • Coleman B; Office of Science, Center for Tobacco Products, Food and Drug Administration, Silver Spring, MD, USA.
  • Gardner LD; Office of Science, Center for Tobacco Products, Food and Drug Administration, Silver Spring, MD, USA.
  • Johnson SE; Office of Science, Center for Tobacco Products, Food and Drug Administration, Silver Spring, MD, USA.
  • Limpert J; Office of Science, Center for Tobacco Products, Food and Drug Administration, Silver Spring, MD, USA.
  • Hammad HT; Office of Science, Center for Tobacco Products, Food and Drug Administration, Silver Spring, MD, USA.
  • Goniewicz ML; Department of Health Behavior, Division of Cancer Prevention & Population Sciences, Roswell Park Cancer Institute, Buffalo, NY, USA.
  • Abrams DB; Department of Social and Behavioral Sciences, NYU College of Global Public Health, New York University, New York, NY, USA.
  • Stanton CA; Westat, Rockville, MD, USA; Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA.
  • Pearson JL; Division of Social and Behavioral Sciences/Health Administration and Policy, University of Nevada, Reno, Reno, NV, USA.
  • Kaufman AR; Tobacco Control Research Branch, Behavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
  • Kimmel HL; National Institute on Drug Abuse, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, MD, USA.
  • Delnevo CD; Department of Health Education and Behavioral Science, Center for Tobacco Studies, Rutgers School of Public Health, Piscataway, NJ, USA.
  • Compton WM; National Institute on Drug Abuse, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, MD, USA.
  • Bansal-Travers M; Department of Health Behavior, Division of Cancer Prevention & Population Sciences, Roswell Park Cancer Institute, Buffalo, NY, USA.
  • Niaura RS; Department of Social and Behavioral Sciences, NYU College of Global Public Health, New York University, New York, NY, USA.
  • Hyland A; Department of Health Behavior, Division of Cancer Prevention & Population Sciences, Roswell Park Cancer Institute, Buffalo, NY, USA.
  • Ambrose BK; Office of Science, Center for Tobacco Products, Food and Drug Administration, Silver Spring, MD, USA.
Addict Behav ; 91: 51-60, 2019 04.
Article en En | MEDLINE | ID: mdl-30473246
ABSTRACT

INTRODUCTION:

Improved understanding of the distribution of traditional risk factors of cigarette smoking among youth who have ever used or are susceptible to e-cigarettes and cigarettes will inform future longitudinal studies examining transitions in use.

METHODS:

Multiple logistic regression analysis was conducted using data from youth (ages 12-17 years) who had ever heard of e-cigarettes at baseline of the PATH Study (n = 12,460) to compare the distribution of risk factors for cigarette smoking among seven mutually exclusive groups based on ever cigarette/e-cigarette use and susceptibility status.

RESULTS:

Compared to committed never users, youth susceptible to e-cigarettes, cigarettes, or both had increasing odds of risk factors for cigarette smoking, with those susceptible to both products at highest risk, followed by cigarettes and e-cigarettes. Compared to e-cigarette only users, dual users had higher odds of nearly all risk factors (aOR range = 1.6-6.8) and cigarette only smokers had higher odds of other (non-e-cigarette) tobacco use (aOR range = 1.5-2.3), marijuana use (aOR = 1.9, 95%CI = 1.4-2.5), a high GAIN substance use score (aOR = 1.9, 95%CI = 1.1-3.4), low academic achievement (aOR range = 1.6-3.4), and exposure to smoking (aOR range = 1.8-2.1). No differences were observed for externalizing factors (depression, anxiety, etc.), sensation seeking, or household use of non-cigarette tobacco.

CONCLUSIONS:

Among ever cigarette and e-cigarette users, dual users had higher odds of reporting traditional risk factors for smoking, followed by single product cigarette smokers and e-cigarette users. Understanding how e-cigarette and cigarette users differ may inform youth tobacco use prevention efforts and advise future studies assessing probability of progression of cigarette and e-cigarette use.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Consumo de Alcohol en Menores / Vapeo / Uso de la Marihuana / Fumar Cigarrillos / Éxito Académico Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Child / Female / Humans / Male País como asunto: America do norte Idioma: En Año: 2019 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Consumo de Alcohol en Menores / Vapeo / Uso de la Marihuana / Fumar Cigarrillos / Éxito Académico Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Child / Female / Humans / Male País como asunto: America do norte Idioma: En Año: 2019 Tipo del documento: Article