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The differential impact of state tobacco control policies on cessation treatment utilization across established tobacco disparities groups.
Dahne, Jennifer; Wahlquist, Amy E; Garrett-Mayer, Elizabeth; Heckman, Bryan W; Michael Cummings, K; Carpenter, Matthew J.
Afiliação
  • Dahne J; Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina (MUSC), Charleston, SC, USA. Electronic address: dahne@musc.edu.
  • Wahlquist AE; Department of Public Health Sciences, MUSC, Charleston, SC, USA; Hollings Cancer Center, MUSC, Charleston, SC, USA.
  • Garrett-Mayer E; Department of Public Health Sciences, MUSC, Charleston, SC, USA; Hollings Cancer Center, MUSC, Charleston, SC, USA.
  • Heckman BW; Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina (MUSC), Charleston, SC, USA; Hollings Cancer Center, MUSC, Charleston, SC, USA.
  • Michael Cummings K; Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina (MUSC), Charleston, SC, USA; Department of Public Health Sciences, MUSC, Charleston, SC, USA; Hollings Cancer Center, MUSC, Charleston, SC, USA.
  • Carpenter MJ; Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina (MUSC), Charleston, SC, USA; Department of Public Health Sciences, MUSC, Charleston, SC, USA; Hollings Cancer Center, MUSC, Charleston, SC, USA.
Prev Med ; 105: 319-325, 2017 Dec.
Article em En | MEDLINE | ID: mdl-28987337
ABSTRACT
Tobacco control policies are effective in promoting quit attempts and increase the likelihood that smokers use evidence-based cessation treatments (e.g., nicotine replacement therapies (NRT), non-NRT medications, behavioral treatment, and/or quitlines). However, what is less clear is how these policies might differentially impact different groups of smokers, perhaps in some cases even widening disparities in the use of evidence-based tobacco dependence treatments. This paper examined how different state-level tobacco control policies impact the use of evidence-based cessation treatments by race/ethnicity, gender, socio-economic status (SES), age, and smoking history. Participants included 9110 adult smokers reporting a past-year quit attempt within the 2010-2011 Tobacco Use Supplement to the Current Population Survey. Lasso regression modeling was used to identify a subset of interactions between tobacco policies and individual smoker characteristics that predicted use of evidence-based cessation treatment. Significant interactions were fitted via participant-weighted generalized linear models to determine effect sizes and relations to each cessation treatment outcome. Results highlighted that various state level tobacco control policies differentially impacted the reported use of both prescription and non-prescription stop smoking medications by race/ethnicity, age, and SES. The relationship between state level tobacco control policies and the use of behavioral treatments and quitlines did not differ by smoker characteristics. In sum, tobacco control policies differentially impact the use of FDA approved stop smoking medications across different race/ethnicity, age, and SES groups. Understanding such effects can help to target interventions to ensure equal access to evidence-based tobacco dependence treatments.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Política Pública / Tabagismo / Fumar / Abandono do Hábito de Fumar / Disparidades nos Níveis de Saúde Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Política Pública / Tabagismo / Fumar / Abandono do Hábito de Fumar / Disparidades nos Níveis de Saúde Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2017 Tipo de documento: Article