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Trends in hip fracture rates in Canada: An age‐period‐cohort analysis
Authors:Sonia Jean PhD  Siobhan O'Donnell  Claudia Lagacé  Peter Walsh  Christina Bancej  Jacques P Brown  Suzanne Morin  Alexandra Papaioannou  Susan B Jaglal  William D Leslie  for the Osteoporosis Surveillance Expert Working Group
Affiliation:1. National Institute of Public Health of Québec, , Québec, Canada;2. Public Health Agency of Canada, , Ottawa, Canada;3. Laval University, , Québec, Canada;4. McGill University, , Montréal, Canada;5. McMaster University, , Hamilton, Canada;6. University of Toronto, , Toronto, Canada;7. University of Manitoba, , Winnipeg, Canada
Abstract:
Age‐standardized rates of hip fracture in Canada declined during the period 1985 to 2005. We investigated whether this incidence pattern is explained by period effects, cohort effects, or both. All hospitalizations during the study period with primary diagnosis of hip fracture were identified. Age‐ and sex‐specific hip fracture rates were calculated for nineteen 5‐year age groups and four 5‐year calendar periods, resulting in 20 birth cohorts. The effect of age, calendar period, and birth cohort on hip fracture rates was assessed using age‐period‐cohort models as proposed by Clayton and Schiffers. From 1985 to 2005, a total of 570,872 hospitalizations for hip fracture were identified. Age‐standardized rates for hip fracture have progressively declined for females and males. The annual linear decrease in rates per 5‐year period were 12% for females and 7% for males (both p < 0.0001). Significant birth cohort effects were also observed for both sexes (p < 0.0001). Cohorts born before 1950 had a higher risk of hip fracture, whereas those born after 1954 had a lower risk. After adjusting for age and constant annual linear change (drift term common to both period and cohort effects), we observed a significant nonlinear birth cohort effect for males (p = 0.0126) but not for females (p = 0.9960). In contrast, the nonlinear period effect, after adjustment for age and drift term, was significant for females (p = 0.0373) but not for males (p = 0.2515). For males, we observed no additional nonlinear period effect after adjusting for age and birth cohort, whereas for females, we observed no additional nonlinear birth cohort effect after adjusting for age and period. Although hip fracture rates decreased in both sexes, different factors may explain these changes. In addition to the constant annual linear decrease, nonlinear birth cohort effects were identified for males, and calendar period effects were identified for females as possible explanations.
Keywords:INCIDENCE RATE  HIP FRACTURES  TRENDS  AGE‐PERIOD‐COHORT ANALYSIS  OSTEOPOROSIS
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