Modeling space-time pattern of marijuana use disorder in California

Keywords: marijuana use disorder, time-series clustering, neighborhood characteristics
Session Type: Virtual Paper Abstract
Day: Tuesday
Session Start / End Time: 3/1/2022 09:40 AM (Eastern Time (US & Canada)) - 3/1/2022 11:00 AM (Eastern Time (US & Canada))
Room: Virtual 16

Abstract

As marijuana use is being legalized in an increasing number of states, it is important to understand the changing dynamic of the risk in marijuana use disorder (MUD). This study aims to investigate 1) the spatial and temporal pattern of emergency department (ED) and hospitalization discharges involving MUD at ZIP code Tabulation Area (ZCTA) level during 2010-2019 in California; and 2) the socio-demographic characteristics associated with local variation in MUD. We applied shape-based time-series clustering approach to identify ZCTAs with similar changing pattern over time. The temporal patterns were also examined by demographic subgroups in each cluster. We also conducted a cross-sectional logistic regression analysis to investigate the ZCRA socio-demographic characteristics in relation to MUD rates. The prevalence of ED discharge increased during 2010-2016 and became stable from 2017. The recent increase was identified surrounding Sacramento and Santa Barbara County. Approximately 13% of ZCTAs showed an increasing trend of hospitalization discharge during 2017-2019, mainly located in central California. The growing trend during this time was found associated with greater racial diversity and younger population in ZCTAs. The results identified high-risk regions based on temporal trend in MUD and socio-demographic characteristics associated with MUD.