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The fracture predictive ability of a musculoskeletal composite score in old men - data from the MrOs Sweden study

Journal article
Authors F. Cronholm
B. E. Rosengren
J. A. Nilsson
Claes Ohlsson
Dan Mellström
E. Ribom
M. K. Karlsson
Published in BMC Geriatr
Volume 19
ISSN 1471-2318
Publication year 2019
Published at Institute of Medicine
Centre for Bone and Arthritis Research
Language en
Links dx.doi.org/10.1186/s12877-019-1106-...
Keywords Bone mass, Osteoporosis, Physical activity, Older, Men, hip fracture, risk-factors, quantitative ultrasound, postmenopausal, women, exercise program, bone-density, elderly-men, mass, prevention, geometry, Geriatrics & Gerontology
Subject categories Geriatrics

Abstract

BackgroundDetection of high-risk individuals for fractures are needed. This study assessed whether level of physical activity (PA) and a musculoskeletal composite score could be used as fracture predictive tools, and if the score could predict fractures better than areal bone mineral density (aBMD).MethodsMrOs Sweden is a prospective population-based observational study that at baseline included 3014 men aged 69-81years. We assessed femoral neck bone mineral content (BMC), bone area, aBMD and total body lean mass by dual energy X-ray absorptiometry, calcaneal speed of sound by quantitative ultrasound and hand grip strength by a handheld dynamometer. PA was assessed by the Physical Activity Scale for the Elderly (PASE) questionnaire. We followed the participants until the date of first fracture, death or relocation (median 9.6years). A musculoskeletal composite score was calculated as mean Z-score of the five measured traits. A Cox proportional hazards model was used to analyze the association between the musculoskeletal traits, the composite score and incident fractures (yes/no) during the follow-up period. Data are presented as hazard ratios (HR) with 95% confidence intervals (95% CI) for fracture for a+1 standard deviation (SD) change (+1 Z-score) in the various musculoskeletal traits as well as the composite score. We used a linear regression model to estimate the association between level of PA, measured as PASE-score and the different musculoskeletal traits as well as the composite score.ResultsA+1 SD higher composite score was associated with an incident fracture HR of 0.61 (0.54, 0.69), however not being superior to aBMD in fracture prediction. A+1 SD higher PASE-score was associated with both a higher composite score and lower fracture incidence (HR 0.83 (0.76, 0.90)).ConclusionsThe composite score was similar to femoral neck aBMD in predicting fractures, and also low PA predicted fractures. This highlights the need of randomized controlled trials to evaluate if PA could be used as a fracture preventive strategy.

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