Development of Biological Age Prediction Model Based on the Osseous Parameters and the Effects of Endurance Exercise Duration and Falling on Aging

Abstract

PURPOSE: The aims of this study were to identify bone health related biomarkers, develop an osseous health based biological age (BA) prediction model, and investigate its applicability. METHODS: Data of a total of 4,644 eligible male participants (age≥30 years) examined for bone health from the 2010 and 2008 Korea National Health and Nutrition Examination Survey were used in the study. Among 15 bone health related variables, 5 biomarkers were selected through a parsimonious exclusion procedure and correlation analysis between the parameters and chronological age. Principal component analysis was applied to extract the principal component factors. Through application of CA and adjustment procedure, a BA prediction model based on osseous biomarkers was obtained. Applicability of the model was assessed. First, history of fall was compared between the fall and no-fall groups. Second, three groups were compared for their continuous walking durations. All groups were compared by three age groups. RESULTS: BA was significantly greater than CA in the fall group by 5.60 years for the older group. As for the walking duration, BA was significantly less by 5.14 and more by 6.51 years than CA for the older groups with more than 2 hours and less than 1 hour of walking durations, respectively. CONCLUSIONS: BA prediction model based on five non-invasive osseous biomarkers may be applicable to predict bone health related conditions. It may be used as a health promotional tool in a health related field to deter or even reverse health deterring factors. 색인어: principal component analysis, bone mineral density, biological age, chronological age, endurance exercise Keywords: Principal component analysis, Bone mineral density, Fall, Biological age, Chronological age, Endurance exercise