Literature DB >> 33037462

Incidence and risk factors for osteoporotic non-vertebral fracture in low-income community-dwelling elderly: a population-based prospective cohort study in Brazil. The São Paulo Ageing and Health (SPAH) study.

D S Domiciano1, L G Machado1, C P Figueiredo1, V F Caparbo1, R M Oliveira2, P R Menezes3, R M R Pereira4.   

Abstract

We ascertained the incidence of non-vertebral fracture in a low-income Brazilian elderly cohort. To the best of our knowledge, this is the first population-based study to demonstrate the frequency of non-vertebral fracture in elderly Latin Americans. Age, prior fracture, and bone mineral density (BMD) at hip were predictors of fracture.
INTRODUCTION: No data on incidence of osteoporotic non-vertebral fracture have been reported in low-income countries where the population's aging has been faster. Even in developed countries, currently available prospective data on major fracture rates beyond hip are scarce. The aim of this study is to describe the incidence and risk factors for non-vertebral fracture in a longitudinal prospective Brazilian population-based elderly cohort.
METHODS: Seven hundred seven older adults (449 women, 258 men) were evaluated at baseline and after a mean follow-up of 4.3 ± 0.8 years. Clinical questionnaire, bone mineral density (BMD), and laboratory tests were performed at baseline. New non-vertebral fracture (hip, proximal humerus, rib, forearm) was determined during the follow-up. Multivariate Poisson regression models were used to identify independent predictors of fracture.
RESULTS: The age-standardized incidence of non-vertebral fracture was 1562.3/100,000 (1085.7-2248.1/100,000) person-years (pyr) in women and 632.8/100,000 (301.7-1327.3/100,000) in men. Concerning to hip fractures, the incidence was 421.2/100,000 (210.7-842.3/100,000) pyr in women and 89.9/100,000 (12.7-638.5/100,000) in men. In a multivariate analysis, age (RR 2.07, 95% CI 1.13-3.82, p = 0.019, each 10-year increase), prior non-vertebral fracture (RR 3.08, 95% CI 1.36-6.95, p = 0.007), and total hip BMD (RR 1.68, 95% CI 1.11-2.56, p = 0.015, each 1 SD decrease) were predictors of new non-vertebral fracture. In men, fitting a model of risk factors for fracture was prevented by the limited number of events in male sample.
CONCLUSION: This is the first population-based study to ascertain the incidence of major non-vertebral fractures in elderly Latin Americans, confirming the high frequency of the disorder. Age, prior fracture, and hip BMD were predictors of the short-term incidence of fracture.

Entities:  

Keywords:  Age-standardized incidence; Aging; Hip fracture; Non-vertebral fracture; Osteoporosis; Risk factors

Year:  2020        PMID: 33037462     DOI: 10.1007/s00198-020-05669-6

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  40 in total

Review 1.  Osteoporosis in developing countries.

Authors:  Rohini Handa; Asgar Ali Kalla; Ghassan Maalouf
Journal:  Best Pract Res Clin Rheumatol       Date:  2008-08       Impact factor: 4.098

2.  Non-hip and non-vertebral fractures: the neglected fracture sites.

Authors:  K L Holloway; M J Henry; S L Brennan-Olsen; G Bucki-Smith; G C Nicholson; S Korn; K M Sanders; J A Pasco; M A Kotowicz
Journal:  Osteoporos Int       Date:  2015-10-05       Impact factor: 4.507

3.  Burden of non-hip, non-vertebral fractures on quality of life in postmenopausal women: the Global Longitudinal study of Osteoporosis in Women (GLOW).

Authors:  C Roux; A Wyman; F H Hooven; S H Gehlbach; J D Adachi; R D Chapurlat; J E Compston; C Cooper; A Díez-Pérez; S L Greenspan; A Z Lacroix; J C Netelenbos; J Pfeilschifter; M Rossini; K G Saag; P N Sambrook; S Silverman; E S Siris; N B Watts; S Boonen
Journal:  Osteoporos Int       Date:  2012-03-08       Impact factor: 4.507

4.  Epidemiology of fractures in England and Wales.

Authors:  T P van Staa; E M Dennison; H G Leufkens; C Cooper
Journal:  Bone       Date:  2001-12       Impact factor: 4.398

5.  Trends in fracture incidence: a population-based study over 20 years.

Authors:  Shreyasee Amin; Sara J Achenbach; Elizabeth J Atkinson; Sundeep Khosla; L Joseph Melton
Journal:  J Bone Miner Res       Date:  2014-03       Impact factor: 6.741

6.  Incidence and risk factors for osteoporotic vertebral fracture in low-income community-dwelling elderly: a population-based prospective cohort study in Brazil. The São Paulo Ageing & Health (SPAH) Study.

Authors:  D S Domiciano; L G Machado; J B Lopes; C P Figueiredo; V F Caparbo; L Takayama; R M Oliveira; P R Menezes; R M R Pereira
Journal:  Osteoporos Int       Date:  2014-08-05       Impact factor: 4.507

7.  The 21st-century landscape of adult fractures: cohort study of a complete adult regional population.

Authors:  Björn E Rosengren; Magnus Karlsson; Ingemar Petersson; Martin Englund
Journal:  J Bone Miner Res       Date:  2015-03       Impact factor: 6.741

8.  Secular trends in hip fractures worldwide: opposing trends East versus West.

Authors:  Ghada Ballane; Jane A Cauley; Marjorie M Luckey; Ghada El-Hajj Fuleihan
Journal:  J Bone Miner Res       Date:  2014-08       Impact factor: 6.741

9.  Baseline observations from the POSSIBLE EU® study: characteristics of postmenopausal women receiving bone loss medications.

Authors:  Nick Freemantle; Cyrus Cooper; Christian Roux; Adolfo Díez-Pérez; Francis Guillemin; Bengt Jonsson; Sergio Ortolani; Johannes Pfeilschifter; Rob Horne; Shilpa Kakad; Susan Shepherd; Gerd Möller; Anne Marciniak; Luc Martinez
Journal:  Arch Osteoporos       Date:  2010-02-27       Impact factor: 2.617

10.  Clinical risk factors, bone density and fall history in the prediction of incident fracture among men and women.

Authors:  M H Edwards; K Jameson; H Denison; N C Harvey; A Aihie Sayer; E M Dennison; C Cooper
Journal:  Bone       Date:  2012-11-13       Impact factor: 4.398

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  1 in total

1.  Smoking and fracture risk in men: a meta-analysis of cohort studies, using both frequentist and Bayesian approaches.

Authors:  Yingke Xu; Yueyang Bao; Megan Wang; Qing Wu
Journal:  Sci Rep       Date:  2022-06-03       Impact factor: 4.996

  1 in total

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