Disease-specific perception of fracture risk and incident fracture rates: GLOW cohort study |
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Authors: | C. L. Gregson E. M. Dennison J. E. Compston S. Adami J. D. Adachi F. A. Anderson Jr S. Boonen R. Chapurlat A. Díez-Pérez S. L. Greenspan F. H. Hooven A. Z. LaCroix J. W. Nieves J. C. Netelenbos J. Pfeilschifter M. Rossini C. Roux K. G. Saag S. Silverman E. S. Siris N. B. Watts A. Wyman C. Cooper |
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Affiliation: | 1. MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, SO16 6YD, UK 11. Musculoskeletal Research Unit, Avon Orthopaedic Centre, Southmead Hospital, University of Bristol, Bristol, UK 7. School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, Cambridge, UK 3. Department of Rheumatology, Ospedale Civile Maggiore, University of Verona, Verona, Valeggio, Italy 2. St. Joseph’s Hospital, McMaster University, Hamilton, ON, Canada 4. Center for Outcomes Research, UMASS Medical School, Worcester, MA, USA 5. Division of Geriatric Medicine, Leuven University Center for Metabolic Bone Diseases, Katholieke Universiteit Leuven, Leuven, Belgium 6. Division of Rheumatology, INSERM U831, H?pital E. Herriot, Université de Lyon, Lyon, France 9. Hospital del Mar-IMIM, Autonomous University of Barcelona, Barcelona, Spain 10. University of Pittsburgh, Pittsburgh, PA, USA 12. Fred Hutchinson Cancer Research Center, Seattle, WA, USA 14. Helen Hayes Hospital and Columbia University, West Haverstraw, NY, USA 13. Department of Endocrinology, VU University Medical Center, Amsterdam, The Netherlands 15. Department of Internal Medicine III, Alfried Krupp Krankenhaus, Essen, Germany 16. Department of Rheumatology, University of Verona, Verona, Italy 17. Paris Descartes University, Cochin Hospital, Paris, France 18. University of Alabama-Birmingham, Birmingham, AL, USA 19. Department of Rheumatology, Cedars-Sinai/UCLA, Los Angeles, CA, USA 20. Department of Medicine, Columbia University Medical Center, New York, NY, USA 21. Bone Health and Osteoporosis Center, University of Cincinnati, Cincinnati, OH, USA 22. Center for Outcomes Research, University of Massachusetts Medical School, Worcester, MA, USA 8. Institute of Musculoskeletal Sciences, University of Oxford, Oxford, UK
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Abstract: | Summary Accurate patient risk perception of adverse health events promotes greater autonomy over, and motivation towards, health-related lifestyles. Introduction We compared self-perceived fracture risk and 3-year incident fracture rates in postmenopausal women with a range of morbidities in the Global Longitudinal study of Osteoporosis in Women (GLOW). Methods GLOW is an international cohort study involving 723 physician practices across ten countries (Europe, North America, Australasia); 60,393 women aged ≥55 years completed baseline questionnaires detailing medical history and self-perceived fracture risk. Annual follow-up determined self-reported incident fractures. Results In total 2,945/43,832 (6.8 %) sustained an incident fracture over 3 years. All morbidities were associated with increased fracture rates, particularly Parkinson's disease (hazard ratio [HR]; 95 % confidence interval [CI], 3.89; 2.78–5.44), multiple sclerosis (2.70; 1.90–3.83), cerebrovascular events (2.02; 1.67–2.46), and rheumatoid arthritis (2.15; 1.53–3.04) (all p?0.001). Most individuals perceived their fracture risk as similar to (46 %) or lower than (36 %) women of the same age. While increased self-perceived fracture risk was strongly associated with incident fracture rates, only 29 % experiencing a fracture perceived their risk as increased. Under-appreciation of fracture risk occurred for all morbidities, including neurological disease, where women with low self-perceived fracture risk had a fracture HR 2.39 (CI 1.74–3.29) compared with women without morbidities. Conclusions Postmenopausal women with morbidities tend to under-appreciate their risk, including in the context of neurological diseases, where fracture rates were highest in this cohort. This has important implications for health education, particularly among women with Parkinson's disease, multiple sclerosis, or cerebrovascular disease. |
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