Literature DB >> 24562837

One-leg standing time and hip-fracture prediction.

H Lundin1, M Sääf, L-E Strender, S Nyren, S-E Johansson, H Salminen.   

Abstract

UNLABELLED: A hip fracture results in a lower quality of life and a cost of £30,000. In this study, one-leg standing time (OLST) had a negative linear relationship to the risk of a hip fracture. OLST could be a useful tool to assess the need for fracture-preventive interventions.
INTRODUCTION: A hip fracture immobilizes, restricts autonomy, shortens life expectancy, and results in a cost of £30,000 in the UK health care system. However, effective preventive treatments can be offered to high-risk individuals. Impaired postural balance is an important risk factor for hip fractures, and the aim of this study was to evaluate whether OLST can predict hip fractures in elderly women. FRAX is the most established fracture risk assessment tool worldwide and a secondary aim was to relate the predictive ability of OLST to that of FRAX in this population.
METHODS: Three hundred fifty-one women aged between 69 and 79 years were timed standing on one leg up to 30 s with eyes open and assessed with FRAX. Fracture data was obtained from registers.
RESULTS: The main outcome, a hip fracture, occurred in 40 of the 351 participants (11.4%). The age-adjusted risk of a hip fracture was 5% lower with 1 s longer OLST (Hazard ratio 0.95, 95% CI 0.927-0.978). The relation between OLST and hip fracture risk was linear. Harrell's c was 0.60 for FRAX and 0.68 for OLST adjusted for age.
CONCLUSION: With 1 s longer OLST, the risk of a hip fracture decreased significantly by 5%. This risk reduction was not explained by differences in the classic fracture risk factors included in FRAX. OLST had a predictive ability similar to FRAX. OLST is an easily performed balance test which may prove to be valuable in the assessment of hip fracture risk.

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Year:  2014        PMID: 24562837     DOI: 10.1007/s00198-013-2593-1

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


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