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

BACKGROUND: Detection 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...

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Autores principales: Cronholm, Felix, Rosengren, Björn E., Nilsson, Jan-Åke, Ohlsson, Claes, Mellström, Dan, Ribom, Eva, Karlsson, Magnus K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6431016/
https://www.ncbi.nlm.nih.gov/pubmed/30902044
http://dx.doi.org/10.1186/s12877-019-1106-2
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author Cronholm, Felix
Rosengren, Björn E.
Nilsson, Jan-Åke
Ohlsson, Claes
Mellström, Dan
Ribom, Eva
Karlsson, Magnus K.
author_facet Cronholm, Felix
Rosengren, Björn E.
Nilsson, Jan-Åke
Ohlsson, Claes
Mellström, Dan
Ribom, Eva
Karlsson, Magnus K.
author_sort Cronholm, Felix
collection PubMed
description BACKGROUND: Detection 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). METHODS: MrOs Sweden is a prospective population-based observational study that at baseline included 3014 men aged 69–81 years. 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 9.6 years). 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. RESULTS: A + 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)). CONCLUSIONS: The 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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spelling pubmed-64310162019-04-04 The fracture predictive ability of a musculoskeletal composite score in old men – data from the MrOs Sweden study Cronholm, Felix Rosengren, Björn E. Nilsson, Jan-Åke Ohlsson, Claes Mellström, Dan Ribom, Eva Karlsson, Magnus K. BMC Geriatr Research Article BACKGROUND: Detection 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). METHODS: MrOs Sweden is a prospective population-based observational study that at baseline included 3014 men aged 69–81 years. 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 9.6 years). 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. RESULTS: A + 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)). CONCLUSIONS: The 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. BioMed Central 2019-03-22 /pmc/articles/PMC6431016/ /pubmed/30902044 http://dx.doi.org/10.1186/s12877-019-1106-2 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Cronholm, Felix
Rosengren, Björn E.
Nilsson, Jan-Åke
Ohlsson, Claes
Mellström, Dan
Ribom, Eva
Karlsson, Magnus K.
The fracture predictive ability of a musculoskeletal composite score in old men – data from the MrOs Sweden study
title The fracture predictive ability of a musculoskeletal composite score in old men – data from the MrOs Sweden study
title_full The fracture predictive ability of a musculoskeletal composite score in old men – data from the MrOs Sweden study
title_fullStr The fracture predictive ability of a musculoskeletal composite score in old men – data from the MrOs Sweden study
title_full_unstemmed The fracture predictive ability of a musculoskeletal composite score in old men – data from the MrOs Sweden study
title_short The fracture predictive ability of a musculoskeletal composite score in old men – data from the MrOs Sweden study
title_sort fracture predictive ability of a musculoskeletal composite score in old men – data from the mros sweden study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6431016/
https://www.ncbi.nlm.nih.gov/pubmed/30902044
http://dx.doi.org/10.1186/s12877-019-1106-2
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