Literature DB >> 1933579

Fracture rates as a function of forearm mineral density in normal postmenopausal women: retrospective and prospective data.

D B Cleghorn1, K J Polley, M J Bellon, J Chatterton, P A Baghurst, B E Nordin.   

Abstract

Fracture histories were obtained from 492 normal postmenopausal women in 1983 and again in 1988, and related to forearm mineral content and density determined in 1983. All peripheral fractures, except those attributable to road traffic accidents, were included. There was only one hip fracture in the series. The total number of postmenopausal fractures was 183 in 149 subjects. In both the retrospective and prospective studies, fracture rates were inversely related to bone status and more significantly to bone density than to bone mass. In the pooled data, the fracture rate was three times as high in women with bone densities more than 4 standard deviations below the young normal mean as in those with bone densities above the mean. On logistic regression, the adjusted relative risk of fracture (odds ratio) in subjects more than 4 standard deviations below the young mean compared with those above the mean was 5.5 (2.7-11.4).

Entities:  

Mesh:

Year:  1991        PMID: 1933579     DOI: 10.1007/bf02556110

Source DB:  PubMed          Journal:  Calcif Tissue Int        ISSN: 0171-967X            Impact factor:   4.333


  7 in total

1.  Appendicular bone density and age predict hip fracture in women. The Study of Osteoporotic Fractures Research Group.

Authors:  S R Cummings; D M Black; M C Nevitt; W S Browner; J A Cauley; H K Genant; S R Mascioli; J C Scott; D G Seeley; P Steiger
Journal:  JAMA       Date:  1990-02-02       Impact factor: 56.272

2.  Metabolic consequences of the menopause. A cross-sectional, longitudinal, and intervention study on 557 normal postmenopausal women.

Authors:  B E Nordin; K J Polley
Journal:  Calcif Tissue Int       Date:  1987       Impact factor: 4.333

3.  A comparison of single and multi-site BMC measurements for assessment of spine fracture probability.

Authors:  R D Wasnich; P D Ross; J W Davis; J M Vogel
Journal:  J Nucl Med       Date:  1989-07       Impact factor: 10.057

4.  Predicting fractures in women by using forearm bone densitometry.

Authors:  P Gärdsell; O Johnell; B E Nilsson
Journal:  Calcif Tissue Int       Date:  1989-04       Impact factor: 4.333

5.  The relative contributions of age and years since menopause to postmenopausal bone loss.

Authors:  B E Nordin; A G Need; B E Chatterton; M Horowitz; H A Morris
Journal:  J Clin Endocrinol Metab       Date:  1990-01       Impact factor: 5.958

6.  Baseline measurement of bone mass predicts fracture in white women.

Authors:  S L Hui; C W Slemenda; C C Johnston
Journal:  Ann Intern Med       Date:  1989-09-01       Impact factor: 25.391

7.  The relation of forearm mineral density to peripheral fractures in postmenopausal women.

Authors:  B E Nordin; B E Chatterton; C J Walker; J Wishart
Journal:  Med J Aust       Date:  1987-03-16       Impact factor: 7.738

  7 in total
  9 in total

Review 1.  Population screening for osteoporosis to prevent fractures.

Authors:  T A Sheldon; N Freemantle; S Ibbotson; C Pollock; J Mason; A F Long
Journal:  Qual Health Care       Date:  1992-03

2.  Assessment of fracture risk and its application to screening for postmenopausal osteoporosis: synopsis of a WHO report. WHO Study Group.

Authors:  J A Kanis
Journal:  Osteoporos Int       Date:  1994-11       Impact factor: 4.507

3.  Fracture rates calculated from fracture histories in normal postmenopausal women.

Authors:  D B Cleghorn; K J Polley; B E Nordin
Journal:  J Epidemiol Community Health       Date:  1992-04       Impact factor: 3.710

4.  Bone mass, bone loss, bone density and fractures.

Authors:  B E Nordin
Journal:  Osteoporos Int       Date:  1993       Impact factor: 4.507

Review 5.  What constitutes evidence for drug efficacy in osteoporosis?

Authors:  J A Kanis
Journal:  Drugs Aging       Date:  1993 Sep-Oct       Impact factor: 3.923

Review 6.  Development of clinical practice guidelines for prevention and treatment of osteoporosis.

Authors:  C C Johnston
Journal:  Calcif Tissue Int       Date:  1996       Impact factor: 4.333

Review 7.  When bone mass fails to predict bone failure.

Authors:  S M Ott
Journal:  Calcif Tissue Int       Date:  1993       Impact factor: 4.333

8.  The effects of 2-year treatment with the aminobisphosphonate alendronate on bone metabolism, bone histomorphometry, and bone strength in ovariectomized nonhuman primates.

Authors:  R Balena; B C Toolan; M Shea; A Markatos; E R Myers; S C Lee; E E Opas; J G Seedor; H Klein; D Frankenfield
Journal:  J Clin Invest       Date:  1993-12       Impact factor: 14.808

9.  Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures.

Authors:  D Marshall; O Johnell; H Wedel
Journal:  BMJ       Date:  1996-05-18
  9 in total

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