Literature DB >> 10646111

Determinants of bone loss from the femoral neck in women of different ages.

L J Melton1, E J Atkinson, M K O'Connor, W M O'Fallon, B L Riggs.   

Abstract

An age-stratified sample of 304 women from Rochester, Minnesota, aged 30-94 years (median 60 years) at baseline underwent measurement of femoral neck bone mineral density (BMD) over a follow-up period extending to 16 years. The average rate of change in femoral neck BMD was -1.0% per year (range -10.0% to +13.4%) and did not vary significantly with age. Because there was no marked increase in the rate of loss around the time of menopause, nor convincing evidence of there being a subset of fast losers, there was fairly good tracking of individual values over time; the correlation of baseline with femoral neck BMD values 16 years later was 0.83. Although a large number of potential determinants was assessed, the only consistent predictor of femoral neck bone loss in women of different ages was baseline femoral neck BMD (r = -0.15; p = 0.023). Otherwise, different sets of risk factors were identified for premenopausal women, women within 20 years of menopause, and women 20 years or more postmenopausal, but the predictive power of these different multivariate models was modest. Nonetheless, these data indicate that femoral neck BMD is quite predictable for extended periods of time. This is reassuring with respect to the use of statistical models that incorporate such data to estimate future fracture risk.

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Year:  2000        PMID: 10646111     DOI: 10.1359/jbmr.2000.15.1.24

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


  29 in total

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2.  Biochemical markers of bone turnover predict bone loss in perimenopausal women but not in postmenopausal women-the Japanese Population-based Osteoporosis (JPOS) Cohort Study.

Authors:  M Iki; A Morita; Y Ikeda; Y Sato; T Akiba; T Matsumoto; H Nishino; S Kagamimori; Y Kagawa; H Yoneshima
Journal:  Osteoporos Int       Date:  2006-05-03       Impact factor: 4.507

3.  Long-term recreational gymnastics provides a clear benefit in age-related functional decline and bone loss. A prospective 6-year study.

Authors:  K Uusi-Rasi; H Sievänen; A Heinonen; I Vuori; T J Beck; P Kannus
Journal:  Osteoporos Int       Date:  2006-06-07       Impact factor: 4.507

4.  Prediction of bone loss using biochemical markers of bone turnover.

Authors:  J Lenora; K K Ivaska; K J Obrant; P Gerdhem
Journal:  Osteoporos Int       Date:  2007-04-18       Impact factor: 4.507

5.  Bone turnover markers are correlated with quantitative ultrasound of the calcaneus: 5-year longitudinal data.

Authors:  J Lenora; P Gerdhem; K J Obrant; K K Ivaska
Journal:  Osteoporos Int       Date:  2008-10-23       Impact factor: 4.507

6.  Development of 41Ca-based pharmacokinetic model for the study of bone remodelling in humans.

Authors:  Manju Sharma; Zeljko Bajzer; Susanta K Hui
Journal:  Clin Pharmacokinet       Date:  2011-03       Impact factor: 6.447

7.  Effects of dietary nutrients and food groups on bone loss from the proximal femur in men and women in the 7th and 8th decades of age.

Authors:  S Kaptoge; A Welch; A McTaggart; A Mulligan; N Dalzell; N E Day; S Bingham; K-T Khaw; J Reeve
Journal:  Osteoporos Int       Date:  2003-04-16       Impact factor: 4.507

8.  Predictors of bone loss after hip fracture.

Authors:  Lois E Wehren; William G Hawkes; J Richard Hebel; Denise Orwig; Sheryl I Zimmerman; Kathleen M Fox; Janet Yu-Yahiro; Jay Magaziner
Journal:  Osteoporos Int       Date:  2003-12-05       Impact factor: 4.507

9.  Utilization of DXA Bone Mineral Densitometry in Ontario: An Evidence-Based Analysis.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2006-11-01

10.  Bone loss and the risk of non-vertebral fractures in women and men: the Tromsø study.

Authors:  L A Ahmed; N Emaus; G K Berntsen; A Bjørnerem; V Fønnebø; L Jørgensen; H Schirmer; J Størmer; R M Joakimsen
Journal:  Osteoporos Int       Date:  2009-11-21       Impact factor: 4.507

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