Literature DB >> 23426882

Trends in hip fracture rates in Canada: an age-period-cohort analysis.

Sonia Jean1, Siobhan O'Donnell, Claudia Lagacé, Peter Walsh, Christina Bancej, Jacques P Brown, Suzanne Morin, Alexandra Papaioannou, Susan B Jaglal, William D Leslie.   

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.
Copyright © 2013 American Society for Bone and Mineral Research.

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Year:  2013        PMID: 23426882      PMCID: PMC5096929          DOI: 10.1002/jbmr.1863

Source DB:  PubMed          Journal:  J Bone Miner Res        ISSN: 0884-0431            Impact factor:   6.741


  25 in total

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Review 2.  Body mass index as a predictor of fracture risk: a meta-analysis.

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Authors:  K A Lefaivre; A R Levy; B Sobolev; S Y Cheng; L Kuramoto; P Guy
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7.  The osteoporosis care gap in men with fragility fractures: the Canadian Multicentre Osteoporosis Study.

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8.  Smoking and fracture risk: a meta-analysis.

Authors:  J A Kanis; O Johnell; A Oden; H Johansson; C De Laet; J A Eisman; S Fujiwara; H Kroger; E V McCloskey; D Mellstrom; L J Melton; H Pols; J Reeve; A Silman; A Tenenhouse
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9.  Trend of hip fracture incidence in Germany 1995-2004: a population-based study.

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Authors:  Ulrica Bergström; Håkan Jonsson; Yngve Gustafson; Ulrika Pettersson; Hans Stenlund; Olle Svensson
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2.  Risk factors for osteoporosis 2000-2012.

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Journal:  Endocrine       Date:  2016-12-22       Impact factor: 3.633

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6.  Age-period-cohort effects in the incidence of hip fractures: political and economic events are coincident with changes in risk.

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7.  Osteoporosis treatment rate following hip fracture in a community hospital.

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8.  Secular Trends in the Incidence of Migraine in China from 1990 to 2019: A Joinpoint and Age-Period-Cohort Analysis.

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9.  Subgroup variations in bone mineral density response to zoledronic acid after hip fracture.

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Journal:  J Bone Miner Res       Date:  2014-12       Impact factor: 6.741

10.  Incidence of Hip Fracture Over 4 Decades in the Framingham Heart Study.

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