Development of a diverse osteoporosis screening tool for older US adults from the health and retirement study.

ABSTRACT: Existing osteoporosis screening tools have limitations, including using race as a predictor, and development on homogeneous samples. This biases risk assessment of osteoporosis in diverse populations and increases health inequities. We develop a tool that relies on variables easily learned during point-of-care, known by individuals, and with negligible racial bias. Data from the 2012-2016 waves of the population-based cohort Health and Retirement Study (HRS) were used to build a predictive model of osteoporosis diagnosis on a 75 % training sample of adults ages 50-90. The model was validated on a 25 % holdout sample and a cross-sectional sample of American individuals ages 50-80 from the National Health and Nutrition Examination Survey (NHANES). Sensitivity and specificity were compared ac

SUBMITTER: Gough Courtney M 

PROVIDER: S-EPMC10772619 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature