Latent class analysis identified four distinct SDOH subgroups among COVID-19 patients with significant demographic differences across classes.
- A 4-class model was identified as optimal based on lowest Bayesian Information Criterion (BIC=42,150.9) after evaluating 1-7 class models
- Significant demographic differences were confirmed across classes (χ² p<0.001 for gender, age, race, ethnicity, education and income distributions)
- Class 1: lower-income, predominantly Hispanic young to middle-aged adults (n=499, 13.2%); Class 2: lower-income, older, predominantly Black non-Hispanic (n=1828, 48.2%); Class 3: middle-aged, high-income non-Hispanic (n=599, 15.8%); Class 4: young to middle-aged, highly educated, high-income non-Hispanic (n=865, 22.8%)
- Sensitivity analysis using four age groups yielded higher BIC (45,430.8) than the three age group primary model (BIC=42,150.9), confirming the primary model