Spatial and temporal pattern of cannabis use disorder in California 2010-2019.
California
Cannabis use disorder
Neighborhood characteristics
Space-time pattern analysis
Time-series clustering
Journal
Spatial and spatio-temporal epidemiology
ISSN: 1877-5853
Titre abrégé: Spat Spatiotemporal Epidemiol
Pays: Netherlands
ID NLM: 101516571
Informations de publication
Date de publication:
08 2022
08 2022
Historique:
received:
10
12
2021
revised:
16
05
2022
accepted:
26
05
2022
entrez:
7
8
2022
pubmed:
8
8
2022
medline:
10
8
2022
Statut:
ppublish
Résumé
As cannabis use is being legalized in an increasing number of states, it is important to understand the changing dynamic of the risk in cannabis use disorder (CUD). Shape-based time-series clustering was used to identify ZIP Code Tabulation Areas (ZCTAs) with similar changing pattern in CUD over time. We conducted a cross-sectional logistic regression analysis to investigate the most recent ZCTA socio-demographic characteristics in relation to the changing CUD rates. The emergency discharge rates generally increased during 2010-2016. Increase during 2017-2019 was found in Sacramento and Santa Barbara County. Approximately 13% of ZCTAs showed an increasing trend of hospitalization discharge during 2017-2019. Males and non-Hispanic Black had larger increase than other groups during 2017-2019. The recent growing trend was found associated with greater racial diversity and rural ZCTAs. The findings from this study hold promise for local public health officials to adjust the cannabis intervention strategies in target districts and improve overall health outcomes.
Identifiants
pubmed: 35934327
pii: S1877-5845(22)00043-0
doi: 10.1016/j.sste.2022.100520
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
100520Subventions
Organisme : NIDA NIH HHS
ID : R01 DA042290
Pays : United States
Informations de copyright
Copyright © 2022. Published by Elsevier Ltd.