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Identifying prospective subpopulations of combustible and electronic cigarette dual users in the United States via finite mixture modeling.
Sutton, Steven K; Brandon, Karen O; Harrell, Paul T; Martínez, Úrsula; Simmons, Vani N; Gore, L Robert; Bullen, Christopher R; Brandon, Thomas H.
Afiliação
  • Sutton SK; Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center, Tampa, FL, USA.
  • Brandon KO; Department of Oncologic Sciences, University of South Florida, Tampa, FL, USA.
  • Harrell PT; Department of Psychology, University of South Florida, Tampa, FL, USA.
  • Martínez Ú; Department of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center, Tampa, FL, USA.
  • Simmons VN; Department of Pediatrics, Eastern Virginia Medical School, Norfolk, VA, USA.
  • Gore LR; Department of Oncologic Sciences, University of South Florida, Tampa, FL, USA.
  • Bullen CR; Department of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center, Tampa, FL, USA.
  • Brandon TH; Department of Oncologic Sciences, University of South Florida, Tampa, FL, USA.
Addiction ; 117(9): 2493-2503, 2022 09.
Article em En | MEDLINE | ID: mdl-35491736
AIMS: To identify subpopulations of dual users of combustible and electronic cigarettes using current smoking and vaping behaviors. DESIGN: Secondary analysis of baseline data from a randomized controlled trial testing a smoking cessation intervention for dual users. Finite mixture modeling of frequency, quantity, and dependence on combustible and electronic cigarettes was used to identify classes. Demographics and additional smoking and vaping variables were used to further characterize the classes. SETTING: United States. PARTICIPANTS: A total of 2896 adults who smoked weekly for the past year and vaped weekly for the past month. MEASUREMENTS: Self-report baseline measures assessed demographics and smoking and vaping behaviors and characteristics including days of use per week, frequency of use within a day, time to first use after waking, urges to smoke, smoking cessation motivation, self-efficacy to abstain from smoking, months since vaping initiation, reasons for initiating and maintaining vaping, and future plans to stop vaping. FINDINGS: Eight probabilistic classes were identified and well-defined (relative entropy = 0.95, Lo-Mendell-Rubin adjusted likelihood ratio test P < 0.0001; class probabilities 0.89-0.97). In general, classes crossed two levels of smoking with four levels of vaping. The largest class (31%) had relatively high levels of smoking (72% daily, 56% 11+ cigarettes per day [CPD], 96% within 30 minutes of waking) and vaping (74% daily, 100% 20+ electronic-CPD, 74% <30 minutes). The next largest class (27%) had relatively high levels of vaping (93% daily, 100% 20+ electronic-CPD, 82% <30 minutes) and very low levels of smoking (28% daily, 12% 11+ CPD, 0% <30 minutes). The six smaller classes (3%-13%) also had distinct smoking and vaping behaviors. All eight classes exhibited distinguishing characteristics beyond current smoking and vaping behaviors. CONCLUSIONS: Dual users of combustible and electronic cigarettes are not a homogeneous population, having eight well-defined prospective subpopulations.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Produtos do Tabaco / Sistemas Eletrônicos de Liberação de Nicotina / Vaping Tipo de estudo: Clinical_trials / Observational_studies / Prognostic_studies Limite: Adult / Humans País como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Produtos do Tabaco / Sistemas Eletrônicos de Liberação de Nicotina / Vaping Tipo de estudo: Clinical_trials / Observational_studies / Prognostic_studies Limite: Adult / Humans País como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article