Artur Galimov1, Ellen Galstyan1, Sheila Yu1, Sabrina L Smiley1, Leah Meza1, Lourdes Baezconde-Garbanati1, Jennifer B Unger1, Steve Sussman1. 1. Artur Galimov, Doctoral Student, Institute for Health Promotion and Disease Prevention Research, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA. Ellen Galstyan, Doctoral Student, Institute for Health Promotion and Disease Prevention Research, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA. Sheila Yu, Doctoral Student, Institute for Health Promotion and Disease Prevention Research, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA. Sabrina Smiley, Assistant Professor, Institute for Health Promotion and Disease Prevention Research , Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA. Leah Meza, Project Manager, Institute for Health Promotion and Disease Prevention Research, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA. Lourdes Baezconde-Garbanati, Professor, Institute for Health Promotion and Disease Prevention Research, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA. Jennifer B. Unger, Professor, Institute for Health Promotion and Disease Prevention Research, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA. Steve Sussman, Professor, Institute for Health Promotion and Disease Prevention Research, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Abstract
OBJECTIVES: Vape shops have proliferated in the United States (US) in recent years. As of May 2016, the US Food and Drug Administration (FDA) asserted its authority to regulate electronic nicotine delivery systems. It is critical to understand how these polices have affected the vape shop industry, as the rise and fall of vape shop proliferation has the potential for influencing public health. METHODS: In this longitudinal study, we examined factors associated with vape shop (N = 77) closure over a 2-1/2-year period in southern California. We assessed predictors of vape shops going out of business using a multivariate logistic regression model. RESULTS: Among 77 vape shops assessed at baseline, 44.2% closed over a 2-1/2-year period. The absence of a "bar type" physical environment (OR = 2.64, 95% CI = 1.12-6.20), poorer shop accessibility (OR = 7.11, 95% CI = 1.17-43.24), fewer reports of qualified personnel (OR = 2.28, 95% CI = 1.12-4.64), less average time spent in shop by customers (OR = 4.8, 95% CI = 1.18-19.60), a narrower e-liquid flavor selection (OR = 6.55, 95% CI = 1.56-27.49), and less vape device diversity (OR = 2.36, 95% C = 1.13-4.91) predicted vape shop closure. CONCLUSIONS: The rise and subsequent decline in vape shops could potentially affect public health. However, there needs to be more research on their association with public health..
OBJECTIVES: Vape shops have proliferated in the United States (US) in recent years. As of May 2016, the US Food and Drug Administration (FDA) asserted its authority to regulate electronic nicotine delivery systems. It is critical to understand how these polices have affected the vape shop industry, as the rise and fall of vape shop proliferation has the potential for influencing public health. METHODS: In this longitudinal study, we examined factors associated with vape shop (N = 77) closure over a 2-1/2-year period in southern California. We assessed predictors of vape shops going out of business using a multivariate logistic regression model. RESULTS: Among 77 vape shops assessed at baseline, 44.2% closed over a 2-1/2-year period. The absence of a "bar type" physical environment (OR = 2.64, 95% CI = 1.12-6.20), poorer shop accessibility (OR = 7.11, 95% CI = 1.17-43.24), fewer reports of qualified personnel (OR = 2.28, 95% CI = 1.12-4.64), less average time spent in shop by customers (OR = 4.8, 95% CI = 1.18-19.60), a narrower e-liquid flavor selection (OR = 6.55, 95% CI = 1.56-27.49), and less vape device diversity (OR = 2.36, 95% C = 1.13-4.91) predicted vape shop closure. CONCLUSIONS: The rise and subsequent decline in vape shops could potentially affect public health. However, there needs to be more research on their association with public health..
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Authors: Artur Galimov; Adam Leventhal; Leah Meza; Jennifer B Unger; Jimi Huh; Lourdes Baezconde-Garbanati; Steven Y Sussman Journal: BMJ Open Date: 2021-10-05 Impact factor: 2.692