Abdullah Mousa Alzahrani, Ossamah S Alsowayan
Evaluating the construct validity of UroLift simulator through a virtual learning experience of urology residents
Urology annals
study seeks quantify mortality effect low levels body mass index bmi life insurance applicants based laboratory profile information appear suitable life insurance coverage demonstrated low bmi associated higher mortality risk normal nearnormal bmi data collected 47 million life insurance applicants available bmi tested 1995 2021 vital status assessed via social security death master file cox models treating bmi continuous categorical variable constructed controlling age split sex excluding laboratory biometric test results far enough outside normal range imply elevated mortality models treating bmi continuous variable allowing interaction term age showed low bmi strongly associated mortality ages 50 sexes categorical models lowest category bmi 1st percentile men aged 4060 lowest 2 categories 5th percentile women aged 4060 lowest 3 categories 10th percentile aged 6080 years significantly associated elevated mortality elevated mortality detected age 40 low bmi based study low bmi associated elevated mortality otherwise healthy applicants association dependent age