Testing a theoretical model of imminent fracture risk in elderly women: an observational cohort analysis of the Canadian Multicentre Osteoporosis Study
| Autor: | Tanveer Towheed, David Goltzman, Jerilynn C. Prior, Rich Barron, David A. Hanley, Christopher S. Kovacs, Jonathan D. Adachi, J. S. McGinley, George Ioannidis, Stephanie M. Kaiser, Alexandra Papaioannou, Suzanne N Morin, Claudie Berger, Yawen Jiang, R. J. Wirth, William D. Leslie, K. S. Davison, Tassos Anastassiades |
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| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
medicine.medical_specialty Canada Endocrinology Diabetes and Metabolism Population Osteoporosis 030209 endocrinology & metabolism Structural equation modeling Cohort Studies 03 medical and health sciences Fractures Bone 0302 clinical medicine Bone Density Risk Factors Epidemiology medicine Humans education Femoral neck Aged education.field_of_study business.industry Models Theoretical medicine.disease Confirmatory factor analysis medicine.anatomical_structure Observational study Female 030101 anatomy & morphology business Demography Cohort study |
| Zdroj: | Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA. 31(6) |
| ISSN: | 1433-2965 |
| Popis: | We examined the underlying relationship between fracture risk factors and their imminent risk. Results suggested that having past year fracture, worse past year general health, worse past year physical functioning, and lower past year BMD T-score directly predicted higher imminent fracture risk. Past year falls indirectly predicted imminent risk through physical functioning and general health. This study aimed to examine direct and indirect effects of several factors on imminent (1 year) fracture risk. Data from women age 65 and older from population-based Canadian Multicentre Osteoporosis Study were used. Predictors were identified from study years 5 and 10, and imminent fracture data (1-year fracture) came from years 6 and 11 (year 5 predicts year 6, year 10 predicts year 11). A structural equation model (SEM) was used to test the theoretical construct. General health and physical functioning were measured as latent variables using items from the 36-Item Short Form Health Survey (SF-36) and bone mineral density (BMD) T-score was a latent variable based on observed site-specific BMD data (spine L1-L4, femoral neck, total hip). Observed variables were fractures and falls. Model fit was evaluated using root mean square error of approximation (RMSEA), Tucker Lewis index (TLI), and comparative fit index (CFI). The analysis included 3298 women. Model fit tests showed that the SEM fit the data well; χ2(172) = 1122.10 |
| Databáze: | OpenAIRE |
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