Ollie Ganz1, Rajiv N Rimal2, Amanda L Johnson3, Amy M Cohn4, Kimberly Horn5, Cristine D Delnevo6, Andrea C Villanti7. 1. Department of Prevention and Community Health, George Washington University Milken Institute School of Public Health, 950 New Hampshire Avenue NW, Washington, DC 20052, United States. Electronic address: ganzo@gwmail.gwu.edu. 2. Department of Prevention and Community Health, George Washington University Milken Institute School of Public Health, 950 New Hampshire Avenue NW, Washington, DC 20052, United States; Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, United States. 3. Oklahoma Tobacco Research Center, University of Oklahoma Health Sciences Center, 655 Research Parkway, Oklahoma City, Oklahoma 73104, United States. 4. Oklahoma Tobacco Research Center, University of Oklahoma Health Sciences Center, 655 Research Parkway, Oklahoma City, Oklahoma 73104, United States; Department of Oncology, Georgetown University Medical Center, 3800 Reservoir Rd. NW, Washington D.C. 20057, United States. 5. Department of Population Health Sciences, Virginia Tech Carilion Research Institute, 2 Riverside Circle, Roanoke, VA 24016, United States. 6. Center for Tobacco Studies, Rutgers School of Public Health, 683 Hoes Lane West, Piscataway, NJ 08854, United States. 7. Vermont Center on Behavior and Health, University of Vermont, 1 South Prospect Street, Burlington, VT 05401, United States; Department of Psychiatry, University of Vermont, 1 South Prospect Street, Burlington, VT 05401, United States.
Abstract
BACKGROUND: Cigarette smoking is disproportionately high among adults with two or more psychiatric disorders (psychiatric comorbidities), yet research on non-cigarette tobacco use among this population is scant. Additionally, most studies on tobacco use this among this population rely on psychiatric diagnoses rather than individual symptoms, potentially excluding individuals with symptom-specific issues that increase their risk for tobacco use but do not meet the criteria for diagnosis. The objectives of this study were to identify unique classes of individuals based on symptoms of psychiatric disorders and to assess differences in demographic characteristics and tobacco use behaviors between classes. METHODS: This study used data from Wave 2 of the Population Assessment of Tobacco and Health Study adult dataset. Latent class analysis was used to classify individuals based on internalizing, externalizing and substance use problems. Bivariate and multivariable models examined the association between latent class membership and current use of cigarettes, cigar products, electronic nicotine delivery systems, pipe, hookah and smokeless tobacco products. Poly tobacco use was also examined. RESULTS: Three latent classes were identified. The "normative" class reported low prevalence of all symptoms, the "severe internalizing and non-violent externalizing" class reported severe internalizing problems and non-violent externalizing problems and the "severe" class reported high prevalence of all symptoms. Tobacco use was highest for the "severe" class and lowest for the "normative" class across products. CONCLUSIONS: Individuals in the "severe" class may be at elevated risk of tobacco-related morbidity and mortality and would likely benefit from targeted tobacco control interventions.
BACKGROUND: Cigarette smoking is disproportionately high among adults with two or more psychiatric disorders (psychiatric comorbidities), yet research on non-cigarette tobacco use among this population is scant. Additionally, most studies on tobacco use this among this population rely on psychiatric diagnoses rather than individual symptoms, potentially excluding individuals with symptom-specific issues that increase their risk for tobacco use but do not meet the criteria for diagnosis. The objectives of this study were to identify unique classes of individuals based on symptoms of psychiatric disorders and to assess differences in demographic characteristics and tobacco use behaviors between classes. METHODS: This study used data from Wave 2 of the Population Assessment of Tobacco and Health Study adult dataset. Latent class analysis was used to classify individuals based on internalizing, externalizing and substance use problems. Bivariate and multivariable models examined the association between latent class membership and current use of cigarettes, cigar products, electronic nicotine delivery systems, pipe, hookah and smokeless tobacco products. Poly tobacco use was also examined. RESULTS: Three latent classes were identified. The "normative" class reported low prevalence of all symptoms, the "severe internalizing and non-violent externalizing" class reported severe internalizing problems and non-violent externalizing problems and the "severe" class reported high prevalence of all symptoms. Tobacco use was highest for the "severe" class and lowest for the "normative" class across products. CONCLUSIONS: Individuals in the "severe" class may be at elevated risk of tobacco-related morbidity and mortality and would likely benefit from targeted tobacco control interventions.
Authors: Ollie Ganz; Amy M Cohn; Renee D Goodwin; Daniel P Giovenco; Olivia A Wackowski; Eugene M Talbot; Cristine D Delnevo Journal: Addict Behav Date: 2021-10-26 Impact factor: 3.913
Authors: Rosa S Wong; Keith T S Tung; Nirmala Rao; Frederick K W Ho; Ko Ling Chan; King-Wa Fu; Winnie W Y Tso; Fan Jiang; Jason C S Yam; David Coghill; Ian C K Wong; Patrick Ip Journal: Int J Environ Res Public Health Date: 2021-05-16 Impact factor: 3.390