Hostility and prevalent diabetes among black adults: The Jackson Heart Study.

BACKGROUND AND AIMS: The relationship between hostility and the prevalence of diabetes mellitus (DM) among black adults was investigated using the Jackson Heart Study (JHS) cohort. We hypothesized that Cook-Medley Hostility scores will be positively related with the prevalence of DM. METHODS AND RESULTS: A total of 3232 black adults who completed at least one question for each of the three subscales of the Cook-Medley Hostility Scale and had data available regarding DM status were included. Using multivariate logistic regression, we studied the cross-sectional relationship between the overall Total Cook-Medley Hostility scores and individual subscales, hostile affect (n = 3232), aggression (n = 3119) and cynical distrust (n = 3085), with prevalent DM, adjusting for known DM confounders. Our population was 36% male with a mean age of 53.5 ± 0.9 years. In risk-factor adjusted models, each point higher in the overall Total Cook-Medley Hostility scores was associated with increased odds of having DM [Adjusted OR 1.02, 95%CI 1.00-1.04, P = 0.03]. Higher scores of cynicism were independently associated with prevalent DM [Adjusted OR 1.04, 95%CI 1.01-1.07, p = 0.021]. CONCLUSIONS: There was a positive relationship between overall hostility levels and prevalent DM. Future studies should investigate the extent to which additional social determinants may impact the relationship between hostile affect and prevalent DM.

Association between median household income, state Medicaid expansion status, and COVID-19 outcomes across US counties.

OBJECTIVE: To study the relationship between county-level COVID-19 outcomes (incidence and mortality) and county-level median household income and status of Medicaid expansion of US counties. METHODS: Retrospective analysis of 3142 US counties was conducted to study the relationship between County-level median-household-income and COVID-19 incidence and mortality per 100,000 people in US counties, January-20th-2021 through December-6th-2021. County median-household-income was log-transformed and stratified by quartiles. Multilevel-mixed-effects-generalized-linear-modeling adjusted for county socio-demographic and comorbidities and tested for Medicaid-expansion-times-income-quartile interaction on COVID-19 outcomes. RESULTS: There was no significant difference in COVID-19 incidence-rate across counties by income quartiles or by Medicaid expansion status. Conversely, for non-Medicaid-expansion states, counties in the lowest income quartile had a 41% increase in COVID-19 mortality-rate compared to counties in the highest income quartile. Mortality-rate was not related to income in counties from Medicaid-expansion states. CONCLUSIONS: Median-household-income was not related to COVID-19 incidence-rate but negatively related to COVID-19 mortality-rate in US counties of states without Medicaid-expansion.