Article ; Online: Anonymized location data reveals trends in legal Cannabis use in communities with increased mental health risks at the start of the COVID-19 pandemic.
2021 Volume 39, Issue 4, Page(s) 436–440
Abstract: Background: The coronavirus disease 2019 (COVID-19) pandemic has led to increases in felt negative affect for many. This is concerning as individuals at increased risk for mental health issues are often more likely to use substances to cope with ... ...
Abstract | Background: The coronavirus disease 2019 (COVID-19) pandemic has led to increases in felt negative affect for many. This is concerning as individuals at increased risk for mental health issues are often more likely to use substances to cope with stressors. Objectives: The aim of the current study is to examine whether communities reporting an increased risk for developing mental health issues showed differential patterns of legal cannabis use as the pandemic began. A secondary goal is to examine the feasibility of using anonymized location data to uncover community consumption patterns of potential concern. Methods: Anonymized location data from approximately 10% of devices in the United States provided a count of the number of visitors to 3,335 cannabis retail locations (medical and recreational) each day from December 1 Results: As the pandemic began communities reporting a greater aMUDs showed greater visitation to cannabis retailers. Conclusions: These results suggest that the COVID-19 pandemic may have led to increased legal cannabis use in at risk communities. They also highlight the value anonymized location data can provide policymakers and practitioners in uncovering community level trends as they confront an increasingly uncertain landscape. |
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MeSH term(s) | Adult ; COVID-19/epidemiology ; COVID-19/psychology ; Cannabis ; Humans ; Marijuana Abuse/epidemiology ; Marijuana Smoking/trends ; Medical Marijuana/therapeutic use ; Mental Health/statistics & numerical data ; Risk Factors ; United States |
Chemical Substances | Medical Marijuana |
Language | English |
Publishing date | 2021-02-17 |
Publishing country | England |
Document type | Journal Article |
ZDB-ID | 1077616-3 |
ISSN | 1545-0848 ; 1055-0887 |
ISSN (online) | 1545-0848 |
ISSN | 1055-0887 |
DOI | 10.1080/10550887.2021.1886831 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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