Thomas J Payne1,2, Joy L Hart2,3, Aida L Giachello2,4, Kandi L Walker2,3, Wei Wang5, Allison Groom2,6, Mario Sims2,7, Clara G Sears2,3, Alexander S Lee2,3, Lindsay K Tompkins2,3, Anshula Kesh2,8, Karen Robb2,6, Rose M Robertson2,9. 1. Department of Otolaryngology-Head and Neck Surgery, University of Mississippi Medical Center, Jackson, United States. 2. American Heart Association Tobacco Center for Regulatory Science, Dallas, United States. 3. Department of Communication, University of Louisville, Louisville, United States. 4. Department of Preventative Medicine, Northwestern University, Chicago, United States. 5. U.S. Food and Drug Administration, Silver Spring, United States. 6. Customer and Marketing Research, American Heart Association, Dallas, United States. 7. Department of Medicine, University of Mississippi Medical Center, Jackson, United States. 8. Office of Science Operations, American Heart Association, Dallas, United States. 9. Science and Medicine Office, American Heart Association, Dallas, United States.
Abstract
INTRODUCTION: Despite decreases in the overall US smoking rate, tobacco use remains more common in some areas and by some groups. Deeper understanding of group differences is needed in order to tailor public health campaigns to the interests, perceptions and experiences of targeted audiences. Although some differences have been identified across African American and Caucasian smokers in the United States, additional insight is needed regarding factors that differentiate these groups. This study examined tobacco-related perceptions and practices, with an emphasis on identifying differences across African American and Caucasian smokers. Toward this goal, we examined key demographic variables of race and age, and tobacco use characteristics. METHODS: The sample consisted of 284 people from the Jackson, Mississippi area who participated in focus groups and completed surveys addressing a variety of tobacco-related topics, including knowledge and perceptions of products as well as use and health information seeking behavior. The selection criteria and recruitment approach ensured a balance across race (black, white), age (18-34, >35 years), sex, and cigarette smoking status (current, former, never). Statistical analyses were performed using SAS (v.9.4). RESULTS: Differences were observed across demographic subgroups regarding type and pattern of tobacco products used (e.g. mentholated, markers of nicotine dependence, hookah). Differences in preferred sources of health information based on age as well as perceptions of risk as a function of age, smoking status and race were also noted. Exposure to secondhand smoke and perceptions of its risks, quitting efforts and cessation methods differed by race. CONCLUSIONS: Study findings suggest key differences across important subgroups. Knowledge of such differences has the potential to improve strategic public health messaging, allowing health campaigns to more effectively prevent tobacco product uptake as well as promote interest in quitting tobacco.
INTRODUCTION: Despite decreases in the overall US smoking rate, tobacco use remains more common in some areas and by some groups. Deeper understanding of group differences is needed in order to tailor public health campaigns to the interests, perceptions and experiences of targeted audiences. Although some differences have been identified across African American and Caucasian smokers in the United States, additional insight is needed regarding factors that differentiate these groups. This study examined tobacco-related perceptions and practices, with an emphasis on identifying differences across African American and Caucasian smokers. Toward this goal, we examined key demographic variables of race and age, and tobacco use characteristics. METHODS: The sample consisted of 284 people from the Jackson, Mississippi area who participated in focus groups and completed surveys addressing a variety of tobacco-related topics, including knowledge and perceptions of products as well as use and health information seeking behavior. The selection criteria and recruitment approach ensured a balance across race (black, white), age (18-34, >35 years), sex, and cigarette smoking status (current, former, never). Statistical analyses were performed using SAS (v.9.4). RESULTS: Differences were observed across demographic subgroups regarding type and pattern of tobacco products used (e.g. mentholated, markers of nicotine dependence, hookah). Differences in preferred sources of health information based on age as well as perceptions of risk as a function of age, smoking status and race were also noted. Exposure to secondhand smoke and perceptions of its risks, quitting efforts and cessation methods differed by race. CONCLUSIONS: Study findings suggest key differences across important subgroups. Knowledge of such differences has the potential to improve strategic public health messaging, allowing health campaigns to more effectively prevent tobacco product uptake as well as promote interest in quitting tobacco.
Entities:
Keywords:
age differences; racial differences; risk perception; smoking; tobacco
Authors: Robert C McMillen; Mark A Gottlieb; Regina M Whitmore Shaefer; Jonathan P Winickoff; Jonathan D Klein Journal: Nicotine Tob Res Date: 2014-11-06 Impact factor: 4.244
Authors: Philip H Smith; Biruktawit Assefa; Simranpreet Kainth; Kaliris Y Salas-Ramirez; Sherry A McKee; Gary A Giovino Journal: Nicotine Tob Res Date: 2020-03-16 Impact factor: 4.244
Authors: Neal L Benowitz; Katherine M Dains; Delia Dempsey; Margaret Wilson; Peyton Jacob Journal: Nicotine Tob Res Date: 2011-05-05 Impact factor: 4.244
Authors: Thanh-Huyen T Vu; Allison Groom; Joy L Hart; Hy Tran; Robyn L Landry; Jennie Z Ma; Kandi L Walker; Aida L Giachello; Anshula Kesh; Thomas J Payne; Rose Marie Robertson Journal: Health Promot Pract Date: 2020-01
Authors: MeLisa R Creamer; Teresa W Wang; Stephen Babb; Karen A Cullen; Hannah Day; Gordon Willis; Ahmed Jamal; Linda Neff Journal: MMWR Morb Mortal Wkly Rep Date: 2019-11-15 Impact factor: 17.586
Authors: Robert M Anthenelli; Neal L Benowitz; Robert West; Lisa St Aubin; Thomas McRae; David Lawrence; John Ascher; Cristina Russ; Alok Krishen; A Eden Evins Journal: Lancet Date: 2016-04-22 Impact factor: 79.321