The association between BMI and healthcare burden, stratified by race and healthcare utilization among middle-aged patients in the US.

ABSTRACT: This study assesses the relationship between BMI and healthcare burden, stratified by race and healthcare utilization, among middle-aged patients in the US. We used data from the Cerner HealthFacts database for 2016-2017 as our study period. We employed regression analysis to maximize the area under the curve (AUC) of the receiver operating characteristic (ROC) curve. This analysis assessed the relationship between BMI and healthcare burden using logistic regression and identified optimal BMI cutoffs stratified across different racial groups and levels of healthcare utilization by maximizing the AUC of the ROC curve. BMI was normalized between 0 and 1, and odds ratios were interpreted as the change in odds of a CCI score greater than zero associated with a full-range (min-to-max) increase

SUBMITTER: Alshakhs MJ 

PROVIDER: S-EPMC12216335 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature