Associations between opioid misuse and social relationship factors among American Indian, Alaska Native, and Native Hawaiian college students in the U.S.

BACKGROUND: Despite declining overall rates of opioid misuse among college students, racial and ethnic differences in percentage and correlates of opioid misuse among student populations remains unclear. This study seeks to estimate percentages of opioid misuse among American Indian, Alaska Native, and Native Hawaiian (AI/AN/NH) college students and determine whether problems in social bonds affect AI/AN/NH opioid misuse. METHODS: Guided by social relationship factors associated with substance use in the Social Development Model, we used 2015-2019 data from the American College Health Association-National College Health Assessment survey in multivariable logistic regression models to examine the role of social bonds with peers and family in opioid misuse (prescription and non-prescription) among AI/AN/NH college students across the U.S. RESULTS: The percentage of opioid misuse was highest among AI/AN/NH college students (7.12 %) relative to other race/ethnicity groups. AI/AN/NH college students who reported experiencing loneliness (aOR: 1.68; 95 % CI 1.33-2.12; P < .0001), difficult social relationships (aOR: 1.27; 95 % CI 1.04-1.55; P = 0.0196), family problems (aOR: 1.32; 95 % CI 1.07-1.63; P = 0.0097), and intimate partner violence (aOR: 1.92; 95 % CI 1.56-2.36; P < .0001) were significantly more likely to misuse opioids than students who did not report experiencing these relationship problems. CONCLUSIONS: Relationship problems with peers and family increase AI/AN/NH college student risk for opioid misuse, indicating opportunities for colleges to support programs addressing healthy social relationships as a means to reduce opioid misuse among AI/AN/NH students.

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.

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.

Opioid use disorder and health service utilization among COVID-19 patients in the US: A nationwide cohort from the Cerner Real-World Data.

BACKGROUND: Both opioid use and COVID-19 affect respiratory and pulmonary health, potentially putting individuals with opioid use disorders (OUD) at risk for complications from COVID-19. We examine the relationship between OUD and subsequent hospitalization, length of stay, risk for invasive ventilator dependence (IVD), and COVID-19 mortality. METHODS: Multivariable logistic and exponential regression models using electronic health records data from the Cerner COVID-19 De-Identified Data Cohort from January through June 2020. FINDINGS: Out of 52,312 patients with COVID-19, 1.9% (n=1,013) had an OUD. COVID-19 patients with an OUD had higher odds of hospitalization (aOR=3.44, 95% CI=2.81-4.21), maximum length of stay ( e ß ^ =1.16, 95% CI=1.09-1.22), and odds of IVD (aOR=1.26, 95% CI=1.06-1.49) than patients without an OUD, but did not differ with respect to COVID-19 mortality. However, OUD patients under age 45 exhibited greater COVID-19 mortality (aOR=3.23, 95% CI=1.59-6.56) compared to patients under age 45 without an OUD. OUD patients using opioid agonist treatment (OAT) exhibited higher odds of hospitalization (aOR=5.14, 95% CI=2.75-10.60) and higher maximum length of stay ( e ß ^ =1.22, 95% CI=1.01-1.48) than patients without OUDs; however, risk for IVD and COVID-19 mortality did not differ. OUD patients using naltrexone had higher odds of hospitalization (aOR=32.19, 95% CI=4.29-4,119.83), higher maximum length of stay ( e ß ^ =1.59, 95% CI=1.06-2.38), and higher odds of IVD (aOR=3.15, 95% CI=1.04-9.51) than patients without OUDs, but mortality did not differ. OUD patients who did not use treatment medication had higher odds of hospitalization (aOR=4.05, 95% CI=3.32-4.98), higher maximum length of stay ( e ß ^ =1.14, 95% CI=1.08-1.21), and higher odds of IVD (aOR=1.25, 95% CI=1.04-1.50) and COVID-19 mortality (aOR=1.31, 95% CI=1.07-1.61) than patients without OUDs. INTERPRETATION: This study suggests people with OUD and COVID-19 often require higher levels of care, and OUD patients who are younger or not using medication treatment for OUDs are particularly vulnerable to death due to COVID-19.

What Protective Health Measures Are Americans Taking in Response to COVID-19? Results from the COVID Impact Survey.

With the emergence of the novel SARS-CoV-2 and the disease it causes; COVID-19, compliance with/adherence to protective measures is needed. Information is needed on which measures are, or are not, being undertaken. Data collected from the COVID Impact Survey, conducted by the non-partisan and objective research organization NORC at the University of Chicago on April, May, and June of 2020, were analyzed through weighted Quasi-Poisson regression modeling to determine the association of demographics, socioeconomics, and health conditions with protective health measures taken at the individual level in response to COVID-19. The three surveys included data from 18 regional areas including 10 states (CA, CO, FL, LA, MN, MO, MT, NY, OR, and TX) and 8 Metropolitan Statistical Areas (Atlanta, GA; Baltimore, MD; Birmingham, AL; Chicago, IL; Cleveland and Columbus, OH; Phoenix, AZ; and Pittsburgh, PA). Individuals with higher incomes, insurance, higher education levels, large household size, age 60+, females, minorities, those who have asthma, have hypertension, overweight or obese, and those who suffer from mental health issues during the pandemic were significantly more likely to report taking precautionary protective measures relative to their counterparts. Protective measures for the three subgroups with a known relationship to COVID-19 (positive for COVID-19, knowing an individual with COVID-19, and knowing someone who had died from COVID-19) were strongly associated with the protective health measures of washing hands, avoiding public places, and canceling social engagements. This study provides first baseline data on the response to the national COVID-19 pandemic at the individual level in the US. The found heterogeneity in the response to this pandemic by different variables can inform future research and interventions to reduce exposure to the novel SARS-CoV-2 virus.