Victoria R Green1, Marushka L Silveira2, Heather L Kimmel3, Kevin P Conway4. 1. National Institute on Drug Abuse, National Institutes of Health, Bethesda, MD, United States; Kelly Government Solutions, Rockville, MD, United States. 2. National Institute on Drug Abuse, National Institutes of Health, Bethesda, MD, United States; Kelly Government Solutions, Rockville, MD, United States. Electronic address: marushka.silveira@nih.gov. 3. National Institute on Drug Abuse, National Institutes of Health, Bethesda, MD, United States. 4. RTI International, Rockville, MD, United States.
Abstract
INTRODUCTION: Tobacco and obesity are leading contributors to mortality in the United States. Due to emerging changes in youth tobacco use, further examination of co-occurrence of these issues is warranted. METHODS: This study examined associations between body mass index (BMI) and tobacco-product use and whether these varied by gender in a nationally representative sample of 12,416 Wave 1 (2013-2014) U.S. youth (12-17 years) from the Population Assessment of Tobacco and Health Study. Multivariable logistic regression analyses examined the odds of past 30-day tobacco-product use according to BMI. BMI was analyzed categorically using the Centers for Disease Control and Prevention (CDC) BMI-for-age weight status categories (underweight/healthy weight, overweight, and obese) and as a continuous variable. RESULTS: Youth classified as overweight or obese were not more likely to use any tobacco, cigarettes, e-cigarettes, any cigar, or hookah. However, youth who were obese were more likely to use smokeless tobacco (Adjusted Odds Ratio (AOR) = 1.68, 95% Confidence Interval (CI): 1.01, 2.81). There were no significant gender interactions for these associations. When BMI was analyzed continuously, a 5-unit and 10-unit increase was significantly associated with using any tobacco, cigarettes, any cigar, and smokeless tobacco. This linear association was supported by similar results for a log-transformed BMI variable. CONCLUSIONS: Findings suggest a continuum between weight increase and tobacco-product use among American youth. Clinicians should consider screening for tobacco use among youth who gain weight within any weight class, not just those considered overweight or obese.
INTRODUCTION:Tobacco and obesity are leading contributors to mortality in the United States. Due to emerging changes in youth tobacco use, further examination of co-occurrence of these issues is warranted. METHODS: This study examined associations between body mass index (BMI) and tobacco-product use and whether these varied by gender in a nationally representative sample of 12,416 Wave 1 (2013-2014) U.S. youth (12-17 years) from the Population Assessment of Tobacco and Health Study. Multivariable logistic regression analyses examined the odds of past 30-day tobacco-product use according to BMI. BMI was analyzed categorically using the Centers for Disease Control and Prevention (CDC) BMI-for-age weight status categories (underweight/healthy weight, overweight, and obese) and as a continuous variable. RESULTS: Youth classified as overweight or obese were not more likely to use any tobacco, cigarettes, e-cigarettes, any cigar, or hookah. However, youth who were obese were more likely to use smokeless tobacco (Adjusted Odds Ratio (AOR) = 1.68, 95% Confidence Interval (CI): 1.01, 2.81). There were no significant gender interactions for these associations. When BMI was analyzed continuously, a 5-unit and 10-unit increase was significantly associated with using any tobacco, cigarettes, any cigar, and smokeless tobacco. This linear association was supported by similar results for a log-transformed BMI variable. CONCLUSIONS: Findings suggest a continuum between weight increase and tobacco-product use among American youth. Clinicians should consider screening for tobacco use among youth who gain weight within any weight class, not just those considered overweight or obese.
Authors: Robert J Kuczmarski; Cynthia L Ogden; Shumei S Guo; Laurence M Grummer-Strawn; Katherine M Flegal; Zuguo Mei; Rong Wei; Lester R Curtin; Alex F Roche; Clifford L Johnson Journal: Vital Health Stat 11 Date: 2002-05
Authors: Karin A Kasza; Bridget K Ambrose; Kevin P Conway; Nicolette Borek; Kristie Taylor; Maciej L Goniewicz; K Michael Cummings; Eva Sharma; Jennifer L Pearson; Victoria R Green; Annette R Kaufman; Maansi Bansal-Travers; Mark J Travers; Jonathan Kwan; Cindy Tworek; Yu-Ching Cheng; Ling Yang; Nikolas Pharris-Ciurej; Dana M van Bemmel; Cathy L Backinger; Wilson M Compton; Andrew J Hyland Journal: N Engl J Med Date: 2017-01-26 Impact factor: 91.245
Authors: Meg H Zeller; Katherine M Kidwell; Jennifer Reiter-Purtill; Todd M Jenkins; Marc P Michalsky; James E Mitchell; Anita P Courcoulas; Thomas H Inge Journal: Obesity (Silver Spring) Date: 2021-02-02 Impact factor: 5.002