UNLABELLED: We created a 30-item Frailty Index in the Canadian Multicentre Osteoporosis Study. A Frailty Index is a sensitive measure that can quantify fracture risk according to degree of frailty. Our results indicated that at any age, frailty was an important independent risk factor for fracture over 10 years. INTRODUCTION: In later life, frailty has been linked to fractures. It is likely that the antecedents of fracture are seen across the life course, in ways not entirely captured by traditional osteoporosis risk factors. Using data collected from the prospective, population-based Canadian Multicentre Osteoporosis Study (CaMos), we created the 30-item CaMos Frailty Index and examined whether it was associated with incident fractures over 10 years. METHODS: All CaMos participants aged 25 years and older (n = 9,423) were included in the analysis. To examine the relationship between baseline Frailty Index scores and incident fractures, a competing risk proportional sub-distribution hazards model was used with death considered a competing risk. Analyses were adjusted for age, sex, body mass index, education level, femoral neck T-score, and antiresorptive therapy. RESULTS: At baseline, the mean age was 62.1 years [standard deviation (SD) 13.4], and 69.4 % were women. The mean Frailty Index score was 0.13 (SD 0.11), ranging from 0 to 0.66. For every 0.10 increase in Frailty Index scores (approximately one SD), the hazard ratio was 1.25 (p < 0.001) for all fractures, 1.18 (p = 0.043) for hip fractures, and 1.30 (p ≤ 0.001) for clinical vertebral fractures. CONCLUSION: The CaMos Frailty Index quantified fracture risk according to degree of frailty. Irrespective of age and bone mineral density, the Frailty Index was associated with hip, vertebral, and all-type clinical fractures. Predicting late onset illnesses may have to consider overall health status and not just traditional risk factors.
UNLABELLED: We created a 30-item Frailty Index in the Canadian Multicentre Osteoporosis Study. A Frailty Index is a sensitive measure that can quantify fracture risk according to degree of frailty. Our results indicated that at any age, frailty was an important independent risk factor for fracture over 10 years. INTRODUCTION: In later life, frailty has been linked to fractures. It is likely that the antecedents of fracture are seen across the life course, in ways not entirely captured by traditional osteoporosis risk factors. Using data collected from the prospective, population-based Canadian Multicentre Osteoporosis Study (CaMos), we created the 30-item CaMos Frailty Index and examined whether it was associated with incident fractures over 10 years. METHODS: All CaMos participants aged 25 years and older (n = 9,423) were included in the analysis. To examine the relationship between baseline Frailty Index scores and incident fractures, a competing risk proportional sub-distribution hazards model was used with death considered a competing risk. Analyses were adjusted for age, sex, body mass index, education level, femoral neck T-score, and antiresorptive therapy. RESULTS: At baseline, the mean age was 62.1 years [standard deviation (SD) 13.4], and 69.4 % were women. The mean Frailty Index score was 0.13 (SD 0.11), ranging from 0 to 0.66. For every 0.10 increase in Frailty Index scores (approximately one SD), the hazard ratio was 1.25 (p < 0.001) for all fractures, 1.18 (p = 0.043) for hip fractures, and 1.30 (p ≤ 0.001) for clinical vertebral fractures. CONCLUSION: The CaMos Frailty Index quantified fracture risk according to degree of frailty. Irrespective of age and bone mineral density, the Frailty Index was associated with hip, vertebral, and all-type clinical fractures. Predicting late onset illnesses may have to consider overall health status and not just traditional risk factors.
Authors: A Tenenhouse; L Joseph; N Kreiger; S Poliquin; T M Murray; L Blondeau; C Berger; D A Hanley; J C Prior Journal: Osteoporos Int Date: 2000 Impact factor: 4.507
Authors: L P Fried; C M Tangen; J Walston; A B Newman; C Hirsch; J Gottdiener; T Seeman; R Tracy; W J Kop; G Burke; M A McBurnie Journal: J Gerontol A Biol Sci Med Sci Date: 2001-03 Impact factor: 6.053
Authors: Kenneth Rockwood; Susan E Howlett; Chris MacKnight; B Lynn Beattie; Howard Bergman; Réjean Hébert; David B Hogan; Christina Wolfson; Ian McDowell Journal: J Gerontol A Biol Sci Med Sci Date: 2004-12 Impact factor: 6.053
Authors: José Juan García-González; Carmen García-Peña; Francisco Franco-Marina; Luis Miguel Gutiérrez-Robledo Journal: BMC Geriatr Date: 2009-11-03 Impact factor: 3.921
Authors: Monica C Tembo; Mohammadreza Mohebbi; Kara L Holloway-Kew; James Gaston; Sharon L Brennan-Olsen; Lana J Williams; Mark A Kotowicz; Julie A Pasco Journal: Calcif Tissue Int Date: 2021-05-20 Impact factor: 4.333
Authors: Joanna M Blodgett; Mario U Pérez-Zepeda; Judith Godin; D Scott Kehler; Melissa K Andrew; Susan Kirkland; Kenneth Rockwood; Olga Theou Journal: Age Ageing Date: 2022-05-01 Impact factor: 12.782
Authors: A Papaioannou; C C Kennedy; G Ioannidis; C Cameron; R Croxford; J D Adachi; S Mursleen; S Jaglal Journal: Osteoporos Int Date: 2016-01-22 Impact factor: 4.507
Authors: Reina Armamento-Villareal; Lina Aguirre; Debra L Waters; Nicola Napoli; Clifford Qualls; Dennis T Villareal Journal: J Bone Miner Res Date: 2019-12-04 Impact factor: 6.741