H Isabella Lanza1, Gabriella Motlagh2, Monica Orozco2. 1. Department of Human Development, California State University Long Beach, CA, United States. Electronic address: Isabella.Lanza@csulb.edu. 2. Department of Human Development, California State University Long Beach, CA, United States.
Abstract
INTRODUCTION: Although a significant proportion of young adults report e-cigarette use (nicotine vaping), little is known about co-use with other substances, including correlates that predict co-use. The current study aimed to identify co-occurring substance use patterns and evaluate multiple correlates in a college student sample. METHODS: 435 participants (21.4 ± 2.9 years; 57% women; 41% Hispanic/Latina/o, 29% Asian-American/Pacific Islander, 17% Caucasian/White, 6% Multiracial, and 5% African-American/Black) from a large, urban university were recruited in-person and completed an online survey in the fall of 2018 and the spring of 2019. RESULTS: Using latent class analysis (LCA), four substance use patterns were identified: Binge Drinkers (7%); e-cigarette Users (8%); Cannabis Users (14%); and Low Substance Users (71%). The e-cigarette Users class was characterized by moderate or greater use (>5 days of nicotine vaping in past 30-days) as well as past 30-day binge drinking and cannabis use. Higher levels of deviant peer affiliation (aOR = 1.28[1.11-1.47], p < .01), impulsivity-lack of premeditation (aOR = 1.36[1.05-1.78], p < .05), and lower levels of social anxiety (aOR = 0.94[0.88-0.99], p < .05), predicted membership in the e-cigarette Users class. CONCLUSIONS: The most pervasive co-occurring substance use was observed among the e-cigarette Users class. Young adults reporting moderate or greater levels of nicotine vaping tended to engage in binge drinking and cannabis use, which may ultimately increase risk of deleterious health outcomes. Deviant peer affiliation and impulsivity-lack of premeditation (but not internalizing symptoms) predicted membership in the e-cigarette Users class; consequently, public health efforts may benefit from increased selectivity in targeting young adults for e-cigarette prevention and intervention services.
INTRODUCTION: Although a significant proportion of young adults report e-cigarette use (nicotine vaping), little is known about co-use with other substances, including correlates that predict co-use. The current study aimed to identify co-occurring substance use patterns and evaluate multiple correlates in a college student sample. METHODS: 435 participants (21.4 ± 2.9 years; 57% women; 41% Hispanic/Latina/o, 29% Asian-American/Pacific Islander, 17% Caucasian/White, 6% Multiracial, and 5% African-American/Black) from a large, urban university were recruited in-person and completed an online survey in the fall of 2018 and the spring of 2019. RESULTS: Using latent class analysis (LCA), four substance use patterns were identified: Binge Drinkers (7%); e-cigarette Users (8%); Cannabis Users (14%); and Low Substance Users (71%). The e-cigarette Users class was characterized by moderate or greater use (>5 days of nicotine vaping in past 30-days) as well as past 30-day binge drinking and cannabis use. Higher levels of deviant peer affiliation (aOR = 1.28[1.11-1.47], p < .01), impulsivity-lack of premeditation (aOR = 1.36[1.05-1.78], p < .05), and lower levels of social anxiety (aOR = 0.94[0.88-0.99], p < .05), predicted membership in the e-cigarette Users class. CONCLUSIONS: The most pervasive co-occurring substance use was observed among the e-cigarette Users class. Young adults reporting moderate or greater levels of nicotine vaping tended to engage in binge drinking and cannabis use, which may ultimately increase risk of deleterious health outcomes. Deviant peer affiliation and impulsivity-lack of premeditation (but not internalizing symptoms) predicted membership in the e-cigarette Users class; consequently, public health efforts may benefit from increased selectivity in targeting young adults for e-cigarette prevention and intervention services.
Authors: M L Saddleson; L T Kozlowski; G A Giovino; M L Goniewicz; M C Mahoney; G G Homish; A Arora Journal: Addict Behav Date: 2015-12-01 Impact factor: 3.913
Authors: Samir Soneji; Jessica L Barrington-Trimis; Thomas A Wills; Adam M Leventhal; Jennifer B Unger; Laura A Gibson; JaeWon Yang; Brian A Primack; Judy A Andrews; Richard A Miech; Tory R Spindle; Danielle M Dick; Thomas Eissenberg; Robert C Hornik; Rui Dang; James D Sargent Journal: JAMA Pediatr Date: 2017-08-01 Impact factor: 16.193
Authors: R H C Palmer; S E Young; C J Hopfer; R P Corley; M C Stallings; T J Crowley; J K Hewitt Journal: Drug Alcohol Depend Date: 2009-02-27 Impact factor: 4.492
Authors: Ankita Mittal; Ashley Du; William Merz; Mark G Myers; Laura E Crotty Alexander; Neal Doran Journal: Subst Use Misuse Date: 2022-04-05 Impact factor: 2.362
Authors: Christine M Kava; Eric K Soule; Laura Seegmiller; Emily Gold; William Snipes; Taya Westfield; Noah Wick; Rima Afifi Journal: Qual Health Res Date: 2020-11-19
Authors: Danielle R Davis; Krysten W Bold; Grace Kong; Dana A Cavallo; Asti Jackson; Suchitra Krishnan-Sarin Journal: Drug Alcohol Depend Date: 2022-03-19 Impact factor: 4.852