Key Predictors of COVID-19 Seropositivity among Adults in New York City; Community Health Survey 2020

This study identifies common key predictors of COVID-19 seropositivity by comparing various regression models using a hierarchical regression method among a sample of New York City (NYC) adults, based on the analysis of the New York City Community Health Survey (NYC CHS) 2020 dataset for this. An exploratory approach is used to understand the social, environmental, and individual determinants of health in NYC’s population at the peak of the pandemic and the effects on COVID-19 seropositivity. Hierarchical logistic regression was carried out on a sample of 928 participants. The findings suggest that age (65-75 years), race (Black and Hispanic), and the birthplace (US) were significant to the hierarchical regression when only socioeconomic factors were considered. Including health behaviors, tobacco usage behaviors, and physical activity became s. In the full model, BMI, asthma prevalence, and suicidal thoughts significantly correlated with COVID-19 seropositivity. The findings are consistent with public health literature highlighting the importance of healthy behaviors and public health efforts in maintaining overall health and immunity.