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Several clinical factors are associated with an increased risk for hip fracture, but their relative importance and the best way to assess them together are unknown. Investigators analyzed a mean of nearly 8 years of follow-up data from the Women’s Health Initiative for more than 90,000 subjects and 1132 hip fractures to develop a predictive algorithm based on common clinical factors. The algorithm was validated in a separate cohort of nearly 70,000 subjects (and 791 fractures) with similar follow-up.
Regression analysis revealed 11 readily available factors associated with increased fracture risk: increasing age, fair to poor self-reported health, relatively greater height, relatively lighter weight, any fracture after age 54, white race or …