Fig. 4

Forest plot of subgroup analyses for all-cause mortality. Subgroup analysis employed full model adjustment, which accounts for potential confounding variables (e.g., age, sex, race, alcohol intake, smoking status, BMI, ratio of family income to poverty, education level, diabetes, hypertension, dyslipidemia) alongside subgroup-specific categorical variables. HR, hazard ratio; BMI, body mass index.