BACKGROUND: Evidence suggests that nicotine dependence is the key barrier to successful smoking cessation. No previous study has documented predictors of persistent nicotine dependence among adults in the community. The goal of this study is to prospectively identify predictors of continued nicotine dependence over a 3-year period among adults. METHODS: Data were drawn from Waves I and II of the National Epidemiologic Survey of Alcohol and Related Conditions (NESARC), a nationally representative sample of 34,653 adults in the United States. Logistic regression analyses were used to estimate the odds of persistent nicotine dependence at Wave 2 given the presence of various sociodemographic and psychiatric predictors at Wave 1. RESULTS: Mood, anxiety, personality and illicit substance use disorders were associated with significantly increased risk of persistent nicotine dependence. The strength of these relationships was attenuated slightly after adjusting for demographic differences, but remained statistically significant. Persistent nicotine dependence was more common among unmarried, younger females with lower income levels and lower educational attainment. CONCLUSIONS: To our knowledge, this study is the first to prospectively identify predictors of persistent nicotine dependence among adults. Our results suggest that the incorporation of mental health treatment into alternative smoking cessation approaches may help to increase the effectiveness of these programs and that a greater focus of these services on vulnerable segments of the population is needed in order to reduce continued disparities in smoking in the general population.
BACKGROUND: Evidence suggests that nicotine dependence is the key barrier to successful smoking cessation. No previous study has documented predictors of persistent nicotine dependence among adults in the community. The goal of this study is to prospectively identify predictors of continued nicotine dependence over a 3-year period among adults. METHODS: Data were drawn from Waves I and II of the National Epidemiologic Survey of Alcohol and Related Conditions (NESARC), a nationally representative sample of 34,653 adults in the United States. Logistic regression analyses were used to estimate the odds of persistent nicotine dependence at Wave 2 given the presence of various sociodemographic and psychiatric predictors at Wave 1. RESULTS: Mood, anxiety, personality and illicit substance use disorders were associated with significantly increased risk of persistent nicotine dependence. The strength of these relationships was attenuated slightly after adjusting for demographic differences, but remained statistically significant. Persistent nicotine dependence was more common among unmarried, younger females with lower income levels and lower educational attainment. CONCLUSIONS: To our knowledge, this study is the first to prospectively identify predictors of persistent nicotine dependence among adults. Our results suggest that the incorporation of mental health treatment into alternative smoking cessation approaches may help to increase the effectiveness of these programs and that a greater focus of these services on vulnerable segments of the population is needed in order to reduce continued disparities in smoking in the general population.
Authors: Timothy B Baker; Megan E Piper; Danielle E McCarthy; Daniel M Bolt; Stevens S Smith; Su-Young Kim; Suzanne Colby; David Conti; Gary A Giovino; Dorothy Hatsukami; Andrew Hyland; Suchitra Krishnan-Sarin; Raymond Niaura; Kenneth A Perkins; Benjamin A Toll Journal: Nicotine Tob Res Date: 2007-11 Impact factor: 4.244
Authors: Kristin L Gregor; Michael J Zvolensky; Alison C McLeish; Amit Bernstein; Sandra Morissette Journal: Nicotine Tob Res Date: 2008-04 Impact factor: 4.244
Authors: Bridget F Grant; Deborah A Dawson; Frederick S Stinson; Patricia S Chou; Ward Kay; Roger Pickering Journal: Drug Alcohol Depend Date: 2003-07-20 Impact factor: 4.492
Authors: Robert A Schnoll; Tony P George; Larry Hawk; Paul Cinciripini; Paul Wileyto; Rachel F Tyndale Journal: Psychopharmacology (Berl) Date: 2014-01-09 Impact factor: 4.530
Authors: Olaya García-Rodríguez; Carlos Blanco; Melanie M Wall; Shuai Wang; Chelsea J Jin; Kenneth S Kendler Journal: Drug Alcohol Depend Date: 2014-09-16 Impact factor: 4.492
Authors: Renee D Goodwin; Melanie M Wall; Tse Choo; Sandro Galea; Jonathan Horowitz; Yoko Nomura; Michael J Zvolensky; Deborah S Hasin Journal: Ann Epidemiol Date: 2014-04-28 Impact factor: 3.797