Katelyn F Romm1, Brooke Patterson2, Natalie D Crawford3, Heather Posner4, Carly D West4, DeEnna Wedding5, Kimberly Horn6,7, Carla J Berg1,8. 1. Department of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA. 2. Department of Global Health, Design, Monitoring & Evaluation Program, Milken Institute School of Public Health, George Washington University, Washington, DC, USA. 3. Behavioral, Social and Health Education Sciences, Rollins School of Public Health, Emory University, Atlanta, GA, USA. 4. Department of Global Health, Global Health Epidemiology and Disease Control Program, Milken Institute School of Public Health, George Washington University, Washington, DC, USA. 5. Department of Epidemiology, Epidemiology Program, Milken Institute School of Public Health, George Washington University, Washington, DC, USA. 6. Carilion Fralin Biomedical Research Institute at VTC, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA. 7. Department of Population Health Sciences, Virginia-Maryland College of Veterinary Medicine, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA. 8. George Washington Cancer Center, George Washington University, Washington, DC, USA.
Abstract
Background: Given the potential for increased substance use during COVID-19, we examined (1) young adults' changes in cigarette, e-cigarette, marijuana, and alcohol use from pre- to during COVID-19; and (2) related risk/protective factors. These findings could inform intervention efforts aimed at curbing increases in substance use during periods of societal stress. Methods: We analyzed Wave 3 (W3; September-December 2019) and Wave 4 (W4; March-May 2020) from the Vape shop Advertising, Place characteristics and Effects Surveillance (VAPES), a 2-year, five-wave longitudinal study of young adults across six metropolitan areas. We examined risk/protective factors (i.e. adverse childhood experiences [ACEs], depressive symptoms, resilience) in relation to changes in past 30-day substance use frequency. Results: In this sample (N = 1084, Mage=24.76, SD = 4.70; 51.8% female; 73.6% White; 12.5% Hispanic), W3/W4 past 30-day use prevalence was: 29.1% cigarettes (19.4% increased/26.4% decreased), 36.5% e-cigarettes (23.2% increased/28.6% decreased), 49.4% marijuana (27.2% increased/21.2% decreased), and 84.8% alcohol (32.9% increased/20.7% decreased). Multivariate regressions indicated that, greater increases were predicted by: for e-cigarettes, greater ACEs; and for alcohol, greater depression. Among those with low resilience, predictors included: for e-cigarettes, greater depression; and for marijuana, greater ACEs. Conclusions: Interventions to reduce substance use during societal stressors should target both risk and protective factors, particularly resilience.
Background: Given the potential for increased substance use during COVID-19, we examined (1) young adults' changes in cigarette, e-cigarette, marijuana, and alcohol use from pre- to during COVID-19; and (2) related risk/protective factors. These findings could inform intervention efforts aimed at curbing increases in substance use during periods of societal stress. Methods: We analyzed Wave 3 (W3; September-December 2019) and Wave 4 (W4; March-May 2020) from the Vape shop Advertising, Place characteristics and Effects Surveillance (VAPES), a 2-year, five-wave longitudinal study of young adults across six metropolitan areas. We examined risk/protective factors (i.e. adverse childhood experiences [ACEs], depressive symptoms, resilience) in relation to changes in past 30-day substance use frequency. Results: In this sample (N = 1084, Mage=24.76, SD = 4.70; 51.8% female; 73.6% White; 12.5% Hispanic), W3/W4 past 30-day use prevalence was: 29.1% cigarettes (19.4% increased/26.4% decreased), 36.5% e-cigarettes (23.2% increased/28.6% decreased), 49.4% marijuana (27.2% increased/21.2% decreased), and 84.8% alcohol (32.9% increased/20.7% decreased). Multivariate regressions indicated that, greater increases were predicted by: for e-cigarettes, greater ACEs; and for alcohol, greater depression. Among those with low resilience, predictors included: for e-cigarettes, greater depression; and for marijuana, greater ACEs. Conclusions: Interventions to reduce substance use during societal stressors should target both risk and protective factors, particularly resilience.
Entities:
Keywords:
ACEs; COVID-19; depression; e-cigarettes; resilience; substance use
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