Depressive symptoms predict trajectories of electronic delivery nicotine systems, cigarette, and cannabis use across 4.5 years among college students.
Cannabis use
Depressive symptoms
Growth mixture modeling
Nicotine use
Journal
Addictive behaviors
ISSN: 1873-6327
Titre abrégé: Addict Behav
Pays: England
ID NLM: 7603486
Informations de publication
Date de publication:
11 2023
11 2023
Historique:
received:
09
03
2023
revised:
07
07
2023
accepted:
16
07
2023
medline:
7
8
2023
pubmed:
30
7
2023
entrez:
29
7
2023
Statut:
ppublish
Résumé
This study examined the role of depressive symptoms on trajectories of electronic nicotine delivery systems (ENDS), cigarette, and cannabis use across 4.5 years in a sample of college students aged 18-19 at the initial study wave. Participants were 2,264 students enrolled in one of 24 Texas colleges that participated in a multi-wave study between 2014 and 2019. Latent growth mixture models were fit to identify longitudinal trajectories for past 30-day ENDS, cigarette, and cannabis use over a 4.5-year period. Class membership was regressed on baseline depressive symptoms in multinomial regression models. Four trajectory classes were identified for each product: abstainer/minimal, decreasing, increasing, and high. Depressive symptoms were associated with a greater likelihood of belonging to the decreasing, increasing, and high trajectory classes relative to the abstainer/minimal class for all products, with the exception of the increasing ENDS class and the decreasing cannabis class. The findings demonstrate that there is considerable similarity across trajectories of ENDS, cigarette, and cannabis use during traditional collegiate years. Furthermore, depressive symptoms increased the likelihood of belonging to substance using trajectory classes for all products.
Sections du résumé
BACKGROUND
This study examined the role of depressive symptoms on trajectories of electronic nicotine delivery systems (ENDS), cigarette, and cannabis use across 4.5 years in a sample of college students aged 18-19 at the initial study wave.
METHODS
Participants were 2,264 students enrolled in one of 24 Texas colleges that participated in a multi-wave study between 2014 and 2019. Latent growth mixture models were fit to identify longitudinal trajectories for past 30-day ENDS, cigarette, and cannabis use over a 4.5-year period. Class membership was regressed on baseline depressive symptoms in multinomial regression models.
RESULTS
Four trajectory classes were identified for each product: abstainer/minimal, decreasing, increasing, and high. Depressive symptoms were associated with a greater likelihood of belonging to the decreasing, increasing, and high trajectory classes relative to the abstainer/minimal class for all products, with the exception of the increasing ENDS class and the decreasing cannabis class.
DISCUSSION
The findings demonstrate that there is considerable similarity across trajectories of ENDS, cigarette, and cannabis use during traditional collegiate years. Furthermore, depressive symptoms increased the likelihood of belonging to substance using trajectory classes for all products.
Identifiants
pubmed: 37515895
pii: S0306-4603(23)00204-6
doi: 10.1016/j.addbeh.2023.107809
pii:
doi:
Substances chimiques
Nicotine
6M3C89ZY6R
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, U.S. Gov't, P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
107809Subventions
Organisme : NCI NIH HHS
ID : P50 CA180906
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA249883
Pays : United States
Organisme : FDA HHS
Pays : United States
Informations de copyright
Copyright © 2023 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.