Literature DB >> 18946775

Smoking knowledge and behavior in the United States: sociodemographic, smoking status, and geographic patterns.

Lila J Finney Rutten1, Erik M Augustson, Richard P Moser, Ellen Burke Beckjord, Bradford W Hesse.   

Abstract

Smoking is the leading cause of preventable death in the United States and has been linked to several dire health consequences including cancer and cardiovascular disease. However, knowledge of the associated risks of tobacco use may not be evenly distributed within the population. We analyzed data from the National Cancer Institute's Health Information National Trends Survey (HINTS, 2003) to characterize current knowledge of cancer prevention and smoking risk in the adult U.S. population and to identify associated sociodemographic, smoking status, and geographic factors. To account for the complex survey design of HINTS, SUDAAN was used to calculate population estimates and confidence intervals. Geographic Information System (GIS) isopleth maps were generated to examine smoking behavior and knowledge. Females, non-Hispanic Whites, those with higher incomes, and former smokers (compared with current smokers) were more likely to reject smoking myths. More accurate smoking risk beliefs were reported by respondents with some college (OR = 1.76) and college degrees (OR = 2.13) compared with those with less than a high school education. Former smokers (OR = 2.53) and never-smokers (OR = 3.26) reported more accurate risk beliefs than current smokers. Knowledge of lung cancer mortality was lower among females (OR = 0.38), older adults (OR age 65-79 = 0.69; OR age 80+ = 0.48), and non-Hispanic Blacks (OR = 0.64). GIS analyses revealed lower knowledge of smoking risk and higher tobacco use in the regions with higher tobacco production and higher tobacco-related mortality. Disparities in tobacco-related knowledge, morbidity, and mortality underscore the need for continued development and delivery of effective prevention and treatment interventions to reduce the population burden of tobacco-related disease.

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Mesh:

Year:  2008        PMID: 18946775     DOI: 10.1080/14622200802325873

Source DB:  PubMed          Journal:  Nicotine Tob Res        ISSN: 1462-2203            Impact factor:   4.244


  39 in total

Review 1.  Health beliefs, treatment preferences and complementary and alternative medicine for asthma, smoking and lung cancer self-management in diverse Black communities.

Authors:  Maureen George
Journal:  Patient Educ Couns       Date:  2012-06-08

2.  Knowledge translation and behaviour change: patients, providers, and populations.

Authors:  Douglas P Gross
Journal:  Physiother Can       Date:  2012       Impact factor: 1.037

3.  Motivating Low Socioeconomic Status Smokers to Accept Evidence-Based Smoking Cessation Treatment: A Brief Intervention for the Community Agency Setting.

Authors:  Bruce A Christiansen; Kevin M Reeder; Erin G TerBeek; Michael C Fiore; Timothy B Baker
Journal:  Nicotine Tob Res       Date:  2015-08       Impact factor: 4.244

4.  Smoking Cessation Treatment Needs of Low SES Cervical Cancer Survivors.

Authors:  Diana S Hoover; Claire A Spears; Damon J Vidrine; Joan L Walker; Ya-Chen Tina Shih; David W Wetter
Journal:  Am J Health Behav       Date:  2019-05-01

5.  The Influence of Health Numeracy and Health Warning Label Type on Smoking Myths and Quit-Related Reactions.

Authors:  Elizabeth G Klein; Amanda J Quisenberry; Abigail B Shoben; Dan Romer; Ellen Peters
Journal:  Nicotine Tob Res       Date:  2019-06-21       Impact factor: 4.244

Review 6.  Lung cancer screening.

Authors:  Antonio Gutierrez; Robert Suh; Fereidoun Abtin; Scott Genshaft; Kathleen Brown
Journal:  Semin Intervent Radiol       Date:  2013-06       Impact factor: 1.513

7.  Responses to Graphic Warning Labels among Low-income Smokers.

Authors:  Toshali Katyal; Arturo Durazo; Marlena Hartman-Filson; Maya Vijayaraghavan
Journal:  Am J Health Behav       Date:  2020-09-01

8.  The role of tobacco-specific media exposure, knowledge, and smoking status on selected attitudes toward tobacco control.

Authors:  Kelly D Blake; K Viswanath; Robert J Blendon; Donna Vallone
Journal:  Nicotine Tob Res       Date:  2009-12-17       Impact factor: 4.244

9.  The influence of occupational stress factors on the nicotine dependence: a cross sectional study.

Authors:  Anna Schmidt; Melanie Neumann; Markus Wirtz; Nicole Ernstmann; Andrea Staratschek-Jox; Erich Stoelben; Jürgen Wolf; Holger Pfaff
Journal:  Tob Induc Dis       Date:  2010-04-13       Impact factor: 2.600

10.  Modeling complex genetic and environmental influences on comorbid bipolar disorder with tobacco use disorder.

Authors:  Richard C McEachin; Nancy L Saccone; Scott F Saccone; Yelena D Kleyman-Smith; Tiara Kar; Rajesh K Kare; Alex S Ade; Maureen A Sartor; James D Cavalcoli; Melvin G McInnis
Journal:  BMC Med Genet       Date:  2010-01-26       Impact factor: 2.103

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