Emily N Subialka Nowariak1, Rebecca K Lien2, Raymond G Boyle3, Michael S Amato4, Laura A Beebe5. 1. Professional Data Analysts, Inc., 219 Main Street SE, Suite 302, Minneapolis, MN 55414, USA. Electronic address: esubialka@pdastats.com. 2. Professional Data Analysts, Inc., 219 Main Street SE, Suite 302, Minneapolis, MN 55414, USA. Electronic address: blien@pdastats.com. 3. ClearWay Minnesota(SM), Two Appletree Square, 8011 34th Avenue South, Suite 400, Minneapolis, MN 55425, USA. Electronic address: rboyle@clearwaymn.org. 4. Truth Initiative®, 900 G Street, NW, Fourth Floor, Washington, DC 20001, USA. Electronic address: mamato@truthinitiative.org. 5. University of Oklahoma Health Sciences Center, Department of Biostatistics and Epidemiology, College of Public Health, 801 NE 13th Street, Oklahoma City, OK 73104, USA. Electronic address: laura-beebe@ouhsc.edu.
Abstract
INTRODUCTION: Emerging literature suggests that frequency of use of electronic cigarettes (e-cigarettes) may be an important moderating variable in the relationship between e-cigarette use and smoking cessation. However, few studies have focused specifically on treatment-seekers, a group that may differ in important ways from smokers in the general population. This study looks at the relationship between e-cigarette use frequency and abstinence among a sample of treatment-seeking tobacco users. METHODS: Seven-month follow-up survey data from N=2760 treatment-seeking tobacco users who utilized statewide tobacco quitlines in three states were used to assess the relationship between 30-day point prevalence abstinence and e-cigarette use frequency at follow-up. E-cigarette use was examined in two ways. First, we looked at any use in the past 30days versus no use. Additionally, past 30-day e-cigarette use frequency was categorized into four groups: 0days, 1-5days - infrequent, 6-29days - intermediate, 30days - daily. Logistic regression models were constructed predicting 30-day point prevalence tobacco abstinence. RESULTS: Both infrequent (AOR=0.35; CI=0.20-0.59) and intermediate (AOR=0.50; CI=0.32-0.80) past 30-day e-cigarette use were associated with lower rates of tobacco abstinence versus no past 30-day use. However, daily e-cigarette users (AOR=1.16; CI=0.71-1.70) had similar 30-day abstinence when compared to non-users. CONCLUSIONS: Results from this study of treatment-seekers support findings from studies of general population tobacco users that suggest frequency of e-cigarette use is an important moderating variable in the relationship between e-cigarette use and tobacco cessation. Future studies should employ more refined measures of e-cigarette use.
INTRODUCTION: Emerging literature suggests that frequency of use of electronic cigarettes (e-cigarettes) may be an important moderating variable in the relationship between e-cigarette use and smoking cessation. However, few studies have focused specifically on treatment-seekers, a group that may differ in important ways from smokers in the general population. This study looks at the relationship between e-cigarette use frequency and abstinence among a sample of treatment-seeking tobacco users. METHODS: Seven-month follow-up survey data from N=2760 treatment-seeking tobacco users who utilized statewide tobacco quitlines in three states were used to assess the relationship between 30-day point prevalence abstinence and e-cigarette use frequency at follow-up. E-cigarette use was examined in two ways. First, we looked at any use in the past 30days versus no use. Additionally, past 30-day e-cigarette use frequency was categorized into four groups: 0days, 1-5days - infrequent, 6-29days - intermediate, 30days - daily. Logistic regression models were constructed predicting 30-day point prevalence tobacco abstinence. RESULTS: Both infrequent (AOR=0.35; CI=0.20-0.59) and intermediate (AOR=0.50; CI=0.32-0.80) past 30-day e-cigarette use were associated with lower rates of tobacco abstinence versus no past 30-day use. However, daily e-cigarette users (AOR=1.16; CI=0.71-1.70) had similar 30-day abstinence when compared to non-users. CONCLUSIONS: Results from this study of treatment-seekers support findings from studies of general population tobacco users that suggest frequency of e-cigarette use is an important moderating variable in the relationship between e-cigarette use and tobacco cessation. Future studies should employ more refined measures of e-cigarette use.
Authors: Scott R Weaver; Jidong Huang; Terry F Pechacek; John Wesley Heath; David L Ashley; Michael P Eriksen Journal: PLoS One Date: 2018-07-09 Impact factor: 3.240
Authors: Ann W St Claire; Barbara A Schillo; Rebecca K Lien; Paula A Keller; Erin O'Gara; Joanne D'Silva; John Kingsbury; Sharrilyn Helgertz; Ann Kinney; Eva Sharma Journal: Prev Med Rep Date: 2019-10-21
Authors: Amanda L Graham; Michael S Amato; Megan A Jacobs; Alexa R Romberg; Megan C Diaz; Basmah Rahman; Barbara A Schillo Journal: J Occup Environ Med Date: 2020-12 Impact factor: 2.306