Literature DB >> 2133638

The contribution of bone loss to postmenopausal osteoporosis.

S L Hui1, C W Slemenda, C C Johnston.   

Abstract

We have addressed the relative importance of peak bone mass and subsequent rate of loss in determining postmenopausal women's bone mass in old age, by examining longitudinal measurements of radial mid-shaft bone mass on various samples of healthy white postmenopausal women. Using both the variance estimate of age-specific rates of bone loss and the population variance in bone mass, we determined that rates of loss could contribute importantly to future bone mass. However, since we found a small negative correlation between initial bone mass and rate of loss, it was necessary to estimate the effect of bone loss as the complement of the contribution of initial bone mass. We found that the influence of bone loss (relative to initial bone mass) increases as the women age, such that by about age 70, the contribution of initial bone mass and rate of loss approached equality. However, estimated rates of bone loss were not very stable over time, so it was difficult to identify long-term 'fast-losers'. We conclude that the rate of postmenopausal bone loss is an important contributor to osteoporosis at old age, but it is difficult to identify long-term fast-losers, thereby reducing the clinical value of assessments of rates of change in bone mass early in the postmenopause.

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Year:  1990        PMID: 2133638     DOI: 10.1007/bf01880413

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


  5 in total

Review 1.  Clinical indications for bone mass measurements. A report from the Scientific Advisory Board of the National Osteoporosis Foundation.

Authors: 
Journal:  J Bone Miner Res       Date:  1989-11       Impact factor: 6.741

2.  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

3.  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

4.  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

5.  Curve fitting for repeated measurements made at irregular time-points.

Authors:  S L Hui
Journal:  Biometrics       Date:  1984-09       Impact factor: 2.571

  5 in total
  87 in total

1.  Differences in peak bone mass in women of European and South Asian origin can be explained by differences in body size.

Authors:  Dipak Roy; Caroline Swarbrick; Yvonne King; Stephen Pye; Judith Adams; Jacqueline Berry; Alan Silman; Terence O'Neill
Journal:  Osteoporos Int       Date:  2005-02-09       Impact factor: 4.507

2.  Modifiable lifestyle factors affecting bone health using calcaneus quantitative ultrasound in adolescent girls.

Authors:  M L Robinson; K Winters-Stone; K Gabel; D Dolny
Journal:  Osteoporos Int       Date:  2007-03-13       Impact factor: 4.507

3.  A whole genome linkage scan for QTLs underlying peak bone mineral density.

Authors:  F Zhang; P Xiao; F Yang; H Shen; D-H Xiong; H-Y Deng; C J Papasian; B M Drees; J J Hamilton; R R Recker; H-W Deng
Journal:  Osteoporos Int       Date:  2007-09-19       Impact factor: 4.507

4.  The effects of different intensities of exercise and active vitamin D on mouse bone mass and bone strength.

Authors:  Lingli Zhang; Xi Chen; Juanni Wu; Yu Yuan; Jianmin Guo; Soma Biswas; Baojie Li; Jun Zou
Journal:  J Bone Miner Metab       Date:  2016-06-29       Impact factor: 2.626

5.  Physical activity is the strongest predictor of calcaneal peak bone mass in young Swedish men.

Authors:  U Pettersson; M Nilsson; V Sundh; D Mellström; M Lorentzon
Journal:  Osteoporos Int       Date:  2009-06-16       Impact factor: 4.507

6.  Competitive physical activity early in life is associated with bone mineral density in elderly Swedish men.

Authors:  M Nilsson; C Ohlsson; A L Eriksson; K Frändin; M Karlsson; O Ljunggren; D Mellström; M Lorentzon
Journal:  Osteoporos Int       Date:  2008-03-29       Impact factor: 4.507

7.  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

Review 8.  The role of estrogen and androgen receptors in bone health and disease.

Authors:  Stavros C Manolagas; Charles A O'Brien; Maria Almeida
Journal:  Nat Rev Endocrinol       Date:  2013-09-17       Impact factor: 43.330

9.  Peak bone mass and osteoporosis prevention.

Authors:  J A Eisman; P J Kelly; N A Morrison; N A Pocock; R Yeoman; J Birmingham; P N Sambrook
Journal:  Osteoporos Int       Date:  1993       Impact factor: 4.507

10.  Low bone turnover and low bone density in a cohort of adults with Down syndrome.

Authors:  K D McKelvey; T W Fowler; N S Akel; J A Kelsay; D Gaddy; G R Wenger; L J Suva
Journal:  Osteoporos Int       Date:  2012-08-18       Impact factor: 4.507

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