Israel T Agaku1, Ayodeji J Awopegba2, Filippos T Filippidis3. 1. Department of Social and Behavioral Sciences, Center for Global Tobacco Control, Harvard School of Public Health, Boston, MA, USA. Electronic address: iagaku@post.harvard.edu. 2. Institute for Global Tobacco Control, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA. 3. School of Public Health, Imperial College London, United Kingdom.
Abstract
BACKGROUND: We assessed how varying definitions of adult current smokeless tobacco (SLT) use affected overall prevalence estimates. METHODS: National prevalence estimates were from five surveys: 2009-2010 National Health and Nutrition Examination Survey (NHANES), 2009-2010 National Adult Tobacco Survey (NATS), 2010-2011 Tobacco Use Supplement of the Current Population Survey (TUS-CPS), 2010 National Survey on Drug Use and Health (NSDUH), and 2010 National Health Information Survey (NHIS). State-specific prevalence estimates were from three surveys: 2009-2010 NATS, 2010-2011 TUS-CPS, and 2010 Behavioral Risk Factor Surveillance System (BRFSS). Current SLT use definitions were as follows: past 5-day use (NHANES), past 30-day use (NATS and NSDUH), and "every day" or "some days" use (TUS-CPS, NHIS, and BRFSS). Inter-survey variations further existed in number and types of SLT products assessed. RESULTS: National prevalence estimates of current SLT use were as follows: NATS (3.9%), NSDUH (3.6%), NHIS (2.8%), NHANES (2.3%), and TUS-CPS (1.6%). State-specific prevalence estimates of SLT use were generally lower for TUS-CPS (median=2.1%, range: 0.5% in California and New York, to 7.2% in Wyoming) compared to either BRFSS (median=4.0%: range: 0.9% in Washington D.C., to 8.2% in Wyoming) or NATS (median=4.7%; range: 1.3% in New Jersey, to 9.8% in Wyoming). CONCLUSION: Concerted efforts are needed among interagency groups to harmonize SLT definition within different surveys.
BACKGROUND: We assessed how varying definitions of adult current smokeless tobacco (SLT) use affected overall prevalence estimates. METHODS: National prevalence estimates were from five surveys: 2009-2010 National Health and Nutrition Examination Survey (NHANES), 2009-2010 National Adult Tobacco Survey (NATS), 2010-2011 Tobacco Use Supplement of the Current Population Survey (TUS-CPS), 2010 National Survey on Drug Use and Health (NSDUH), and 2010 National Health Information Survey (NHIS). State-specific prevalence estimates were from three surveys: 2009-2010 NATS, 2010-2011 TUS-CPS, and 2010 Behavioral Risk Factor Surveillance System (BRFSS). Current SLT use definitions were as follows: past 5-day use (NHANES), past 30-day use (NATS and NSDUH), and "every day" or "some days" use (TUS-CPS, NHIS, and BRFSS). Inter-survey variations further existed in number and types of SLT products assessed. RESULTS: National prevalence estimates of current SLT use were as follows: NATS (3.9%), NSDUH (3.6%), NHIS (2.8%), NHANES (2.3%), and TUS-CPS (1.6%). State-specific prevalence estimates of SLT use were generally lower for TUS-CPS (median=2.1%, range: 0.5% in California and New York, to 7.2% in Wyoming) compared to either BRFSS (median=4.0%: range: 0.9% in Washington D.C., to 8.2% in Wyoming) or NATS (median=4.7%; range: 1.3% in New Jersey, to 9.8% in Wyoming). CONCLUSION: Concerted efforts are needed among interagency groups to harmonize SLT definition within different surveys.
Authors: Anusha Yaragani; Kvr Sushuma; Vineeth Guduri; S S Manikanta Kumar Thirumalasetty; Gautam Vishnubhotla; Pradeep Kandikatla; Viswa Chaitanya Chandu Journal: J Family Med Prim Care Date: 2020-04-30
Authors: Dina M Jones; Lucy Popova; Scott R Weaver; Terry F Pechacek; Michael P Eriksen Journal: Nicotine Tob Res Date: 2018-08-14 Impact factor: 4.244
Authors: David T Levy; Zhe Yuan; Yameng Li; Darren Mays; Luz Maria Sanchez-Romero Journal: Int J Environ Res Public Health Date: 2019-08-30 Impact factor: 3.390
Authors: Luz María Sánchez-Romero; Christopher J Cadham; Jana L Hirschtick; Delvon T Mattingly; Beomyoung Cho; Nancy L Fleischer; Andrew Brouwer; Ritesh Mistry; Stephanie R Land; Jihyoun Jeon; Rafael Meza; David T Levy Journal: BMC Public Health Date: 2021-06-24 Impact factor: 3.295