Résumé
Summary: 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. Introduction: This study aimed to examine direct and indirect effects of several factors on imminent (1 year) fracture risk. Methods: 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). Results: The analysis included 3298 women. Model fit tests showed that the SEM fit the data well; χ2(172) = 1122.10 <.001, RMSEA =.03, TLI =.99, CFI =.99. 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 risk of fracture in the subsequent year (p <.001). Past year falls had a statistically significant but indirect effect on imminent fracture risk through physical functioning and general health (p <.001). Conclusions: We found several direct and indirect pathways that predicted imminent fracture risk in elderly women. Future studies should extend this work by developing risk scoring methods and defining imminent risk thresholds.
| Langue d'origine | English |
|---|---|
| Pages (de-à) | 1145-1153 |
| Nombre de pages | 9 |
| Journal | Osteoporosis International |
| Volume | 31 |
| Numéro de publication | 6 |
| DOI | |
| Statut de publication | Published - juin 1 2020 |
Note bibliographique
Funding Information:AP receives grants and speaking honoraria from Amgen Inc. JDA receives grants, consulting fees, and speaking honoraria from Amgen Inc. YJ was an employee of Amgen Inc. when the submitted work was conducted and is presently an associate professor with Sun Yat-sen University School of Public Health (Shenzhen). RB is an employee of Amgen Inc. and holds stocks of Amgen Inc. JSM is an employee of Vector Psychometrics Group, LLC. RJW is an employee of Vector Psychometrics Group, LLC. DAH receives speaking honoraria from Amgen Inc. and has been a local principal investigator for a multinational clinical trial sponsored by Amgen Inc. SMK receives consulting fees from Amgen Inc., Merck, Eli Lilly, speaking honoraria from Amgen Inc., Merck, Sanofi, and has been a clinical trial investigator of studies sponsored by Amgen Inc., Eli Lilly, and Merck. SNM receives grants from Amgen Inc. and Merck & Co., Inc. TT receives consulting fees from Amgen Inc. DG receives grants from Amgen Inc. and Eli Lilly & Co. and consulting fees from Amgen Inc. CB, TPA, KSD, GI, CSK, WDL, and JCP claim no conflicts of interests.
Funding Information:
This study was funded by Amgen Inc. and UCB Pharma. Sponsors of CaMos have included Actavis, Amgen Inc., the Arthritis Society, the Canadian Institutes of Health Research (CIHR), Dairy Farmers of Canada, Merck, Eli Lilly, Novartis, P&G, Sanofi-Aventis, and Servier.
Publisher Copyright:
© 2020, International Osteoporosis Foundation and National Osteoporosis Foundation.
ASJC Scopus Subject Areas
- Endocrinology, Diabetes and Metabolism
ODD de l’ONU
Cette action contribue à la réalisation des objectifs de développement durable suivants
