ABSTRACT
Objective: This study aimed to examine the impact of the coronavirus disease (COVID-19) pandemic on patronage to unhealthy eating establishments in populations with obesity. Methods: Anonymized movement data accounting for roughly 10% of devices in the United States at 138,989 unhealthy eating locations from December 1,2019, through April 2020 and the percentage of adults with obesity, the poverty rate, and the food environment index in 65% of United States counties were collected and merged. A cluster corrected Poisson spline regression was performed predicting patronage by day, the percentage of adults with obesity in the establishment's county, the county's poverty rate, and its food environment index, as well as their interactions. Results: Patronage to unhealthy eating establishments was higher where there was a higher percentage of the adult population with obesity. A similar pattern was observed for counties with a lower food environment index. These disparities appear to have increased as the COVID-19 pandemic spread. Conclusions: These results suggest unhealthy eating patterns during the COVID-19 pandemic are higher in already at-risk populations. Policy makers can use these findings to motivate interventions and programs aimed at increasing healthy food intake in at-risk communities during crises.
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 1st 2019 through April 2020. Visitor counts were merged with the average number of mentally unhealthy days (aMUDs) reported in the Federal Information Processing Standard (FIPS) county the retailer was located along with FIPS county population and poverty rate estimates. A Poisson spline regression predicting visitors by day, aMUDs, as well as their interaction was performed, entering population and poverty rate as covariates. 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.