Andrea H Weinberger1, Corey E Pilver, Carolyn M Mazure, Sherry A McKee. 1. Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Women's Health Research at Yale, Yale University School of Medicine, New Haven, CT, USA; Cancer Prevention and Control Research Program, Yale Cancer Center, New Haven, CT, USA.
Abstract
AIMS: To determine smoking transitions in a representative sample of US adults. DESIGN: Longitudinal study using data from the National Epidemiologic Survey on Alcohol and Related Conditions (wave 1, 2001-02; wave 2, 2004-05). SETTING: The general US adult population. PARTICIPANTS: A total of 33 309 adults (53.6% female) classified as wave 1 current daily, current non-daily, former daily, former non-daily or never smokers. MEASUREMENTS: Smoking transitions were determined from waves 1 and 2 data. FINDINGS: Smoking status remained stable for the majority of current daily (79.8%), former daily (95.8%), former non-daily (96.3%) and never (97.1%) smokers. Among current non-daily smokers, 54.5% quit smoking while 22.5% increased to daily smoking. Current daily smokers who were older [30-44, odds ratio (OR) = 0.62; 95% confidence interval (CI) = 0.49-0.78; 45+, OR = 0.75; 95% CI = 0.61-0.93] and unmarried (OR = 0.80, 95% CI = 0.66-0.96) were less likely to report smoking cessation. Current daily smokers who were Hispanic (OR = 2.15, 95% CI = 1.65-2.81) and college educated (OR = 1.27, 95% CI = 1.05-1.53) were more likely to report smoking cessation. Relapse in former daily smokers was greater in women (OR = 1.44, 95% CI = 1.01-2.06) and lower in older adults (OR = 0.44; 95% CI = 0.27-0.74). Smoking initiation occurred less in women (OR = 0.65; 95% CI = 0.49-0.87) and Hispanic adults (OR = 0.57; 95% CI = 0.36-0.91) and more in unmarried adults (OR = 1.84; 95% CI = 1.37-2.47) and adults with less education (OR = 1.63; 95% CI = 1.09-2.44). CONCLUSIONS: From 2001 to 2005, smoking status was extremely stable in the US population. Specific gender, race and educational groups need increased prevention and intervention efforts.
AIMS: To determine smoking transitions in a representative sample of US adults. DESIGN: Longitudinal study using data from the National Epidemiologic Survey on Alcohol and Related Conditions (wave 1, 2001-02; wave 2, 2004-05). SETTING: The general US adult population. PARTICIPANTS: A total of 33 309 adults (53.6% female) classified as wave 1 current daily, current non-daily, former daily, former non-daily or never smokers. MEASUREMENTS: Smoking transitions were determined from waves 1 and 2 data. FINDINGS: Smoking status remained stable for the majority of current daily (79.8%), former daily (95.8%), former non-daily (96.3%) and never (97.1%) smokers. Among current non-daily smokers, 54.5% quit smoking while 22.5% increased to daily smoking. Current daily smokers who were older [30-44, odds ratio (OR) = 0.62; 95% confidence interval (CI) = 0.49-0.78; 45+, OR = 0.75; 95% CI = 0.61-0.93] and unmarried (OR = 0.80, 95% CI = 0.66-0.96) were less likely to report smoking cessation. Current daily smokers who were Hispanic (OR = 2.15, 95% CI = 1.65-2.81) and college educated (OR = 1.27, 95% CI = 1.05-1.53) were more likely to report smoking cessation. Relapse in former daily smokers was greater in women (OR = 1.44, 95% CI = 1.01-2.06) and lower in older adults (OR = 0.44; 95% CI = 0.27-0.74). Smoking initiation occurred less in women (OR = 0.65; 95% CI = 0.49-0.87) and Hispanic adults (OR = 0.57; 95% CI = 0.36-0.91) and more in unmarried adults (OR = 1.84; 95% CI = 1.37-2.47) and adults with less education (OR = 1.63; 95% CI = 1.09-2.44). CONCLUSIONS: From 2001 to 2005, smoking status was extremely stable in the US population. Specific gender, race and educational groups need increased prevention and intervention efforts.
Authors: W Bjornson; C Rand; J E Connett; P Lindgren; M Nides; F Pope; A S Buist; C Hoppe-Ryan; P O'Hara Journal: Am J Public Health Date: 1995-02 Impact factor: 9.308
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: Gregory L Powell; Gabriella Cabrera-Brown; Mark D Namba; Janet L Neisewander; Julie A Marusich; Joshua S Beckmann; Cassandra D Gipson Journal: Drug Alcohol Depend Date: 2019-06-20 Impact factor: 4.492
Authors: Angela M Lee; Cali A Calarco; Sherry A McKee; Yann S Mineur; Marina R Picciotto Journal: Genes Brain Behav Date: 2019-08-13 Impact factor: 3.449
Authors: Xu Wang; Amy H Auchincloss; Sharrelle Barber; Stephanie L Mayne; Michael E Griswold; Mario Sims; Ana V Diez Roux Journal: Health Place Date: 2017-05-05 Impact factor: 4.078
Authors: Terril L Verplaetse; Kelly E Moore; Brian P Pittman; Walter Roberts; Lindsay M Oberleitner; Mac Kenzie R Peltier; Robyn Hacker; Kelly P Cosgrove; Sherry A McKee Journal: Nicotine Tob Res Date: 2019-09-19 Impact factor: 4.244
Authors: Nicole L Tosun; Sharon S Allen; Lynn E Eberly; Meng Yao; William W Stoops; Justin C Strickland; Katherine A Harrison; Mustafa al'Absi; Marilyn E Carroll Journal: Drug Alcohol Depend Date: 2018-09-01 Impact factor: 4.492
Authors: Nicole L Tosun; Ann M Fieberg; Lynn E Eberly; Katherine A Harrison; Angela R Tipp; Alicia M Allen; Sharon S Allen Journal: Addiction Date: 2019-06-17 Impact factor: 6.526
Authors: Terril L Verplaetse; Andrea H Weinberger; Philip H Smith; Kelly P Cosgrove; Yann S Mineur; Marina R Picciotto; Carolyn M Mazure; Sherry A McKee Journal: Nicotine Tob Res Date: 2015-03-11 Impact factor: 4.244
Authors: Andrea H Weinberger; Philip H Smith; Sharon S Allen; Kelly P Cosgrove; Michael E Saladin; Kevin M Gray; Carolyn M Mazure; Cora Lee Wetherington; Sherry A McKee Journal: Nicotine Tob Res Date: 2015-04 Impact factor: 4.244