Your browser doesn't support javascript.
The association between opioids, environmental, demographic, and socioeconomic indicators and COVID-19 mortality rates in the United States: an ecological study at the county level.
Qeadan, Fares; Mensah, Nana Akofua; Tingey, Benjamin; Bern, Rona; Rees, Tracy; Madden, Erin Fanning; Porucznik, Christina A; English, Kevin; Honda, Trenton.
  • Qeadan F; Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT, USA. fares.qeadan@utah.edu.
  • Mensah NA; Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT, USA.
  • Tingey B; Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT, USA.
  • Bern R; Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT, USA.
  • Rees T; Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT, USA.
  • Madden EF; Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, MI, USA.
  • Porucznik CA; Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT, USA.
  • English K; Albuquerque Area Southwest Tribal Epidemiology Center, Albuquerque, NM, USA.
  • Honda T; Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT, USA.
Arch Public Health ; 79(1): 101, 2021 Jun 15.
Article in English | MEDLINE | ID: covidwho-1269892
ABSTRACT

BACKGROUND:

The spread of the COVID-19 pandemic throughout the world presents an unprecedented challenge to public health inequities. People who use opioids may be a vulnerable group disproportionately impacted by the current pandemic, however, the limited prior research in this area makes it unclear whether COVID-19 and opioid use outcomes may be related, and whether other environmental and socioeconomic factors might play a role in explaining COVID-19 mortality. The objective of this study is to evaluate the association between opioid-related mortality and COVID-19 mortality across U.S. counties.

METHODS:

Data from 3142 counties across the U.S. were used to model the cumulative count of deaths due to COVID-19 up to June 2, 2020. A multivariable negative-binomial regression model was employed to evaluate the adjusted COVID-19 mortality rate ratios (aMRR).

RESULTS:

After controlling for covariates, counties with higher rates of opioid-related mortality per 100,000 persons were found to be significantly associated with higher rates of COVID-19 mortality (aMRR 1.0134; 95% CI [1.0054, 1.0214]; P = 0.001). Counties with higher average daily Particulate Matter (PM2.5) exposure also saw significantly higher rates of COVID-19 mortality. Analyses revealed rural counties, counties with higher percentages of non-Hispanic whites, and counties with increased average maximum temperatures are significantly associated with lower mortality rates from COVID-19.

CONCLUSIONS:

This study indicates need for public health efforts in hard hit COVID-19 regions to also focus prevention efforts on overdose risk among people who use opioids. Future studies using individual-level data are needed to allow for detailed inferences.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal: Arch Public Health Year: 2021 Document Type: Article Affiliation country: S13690-021-00626-z

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal: Arch Public Health Year: 2021 Document Type: Article Affiliation country: S13690-021-00626-z