Social and Demographic Influences of Trust in Cancer Information Among Brooklyn, New York Residents.

Little is known regarding the patterns of trust sources for cancer information among diverse populations in the US, which is particularly poignant during the current era of misinformation. Our objective to assess trust from different sources among a sample of Brooklyn, New York residents. Using data from the NCI funded Brooklyn Cancer Health Impact Program, we examined HINTS validated questions examining trust in cancer information across 9 sources. Logistic regression models were used to examine associations with cancer information trust sources. For trust in government health agencies, participants who had less than a college degree were almost 30% less likely to report high levels of trust (aOR: 0.71; 95% CI: 0.52-0.98), participants who reported a household income under $50,000 were 35% less likely report high levels of trust (aOR: 0.65; 95% CI: 0.47-0.89). Participants whose primary language was Spanish were significantly less likely to trust government (aOR: 0.45; 95% CI: 0.29-0.70), newspapers and magazines (aOR: 0.54; 95% CI, 0.34-0.84), and charitable organizations (aOR: 0.48; 95% CI, 0.31-0.75) compared to participants whose primary was English. New York is the most populous city in the US, a city of immigrants, and it is important for healthcare and public health professionals to explore how they can utilize media to provide accurate scientific evidence to combat cancer misinformation.

Burden of Food Insecurity and Mental Health Symptoms among Adults with Cardiometabolic Conditions during the COVID-19 Pandemic.

Our study objectives were to (1) identify the national prevalence and patterns of food insecurity among adults with and without a history of CMCs and (2) determine associations between food insecurity and mental health outcomes among adults with CMCs during the early COVID-19 pandemic period (April−June 2020). We computed prevalence ratios with Poisson regression using the robust estimation of standard errors to identify disparities in the report of food insecurity across demographic groups and by CMC history. Among adults with CMCs, we estimated associations between food insecurity and self-reported mental health symptoms using multinomial logistic regression. Overall, people with CMCs were more likely to be older, White, without employment in the past 7 days, and from the South or an urban environment. We found that the determinants of food insecurity among individuals with cardiometabolic conditions include having: <60 years of age, female sex, Black or Hispanic race/ethnicity, an educational degree lower than a baccalaureate, a household income of <$100,000, and either Medicaid, Indian Health Insurance, or no insurance. Individuals with CMCs and food insecurity also had significantly higher odds of adverse mental health symptoms. The continued clinical screening of food insecurity and mental health, as well as public health interventions, targeted toward individuals with CMCs, should be prioritized as we move through the COVID-19 pandemic.