Literature DB >> 16790372

Increasing sex difference in bone strength in old age: The Age, Gene/Environment Susceptibility-Reykjavik study (AGES-REYKJAVIK).

Gunnar Sigurdsson1, Thor Aspelund, Milan Chang, Birna Jonsdottir, Sigurdur Sigurdsson, Gudny Eiriksdottir, Adalsteinn Gudmundsson, Tamara B Harris, Vilmundur Gudnason, Thomas F Lang.   

Abstract

INTRODUCTION: It is important to identify possible pathological mechanisms that underlie the known sexual dimorphism in bone fragility in old age. In this cross-sectional population-based study, we use data from three different skeletal sites to examine sex differences in volumetric bone density, geometry and strength indices and determine whether sex differences in these bone strength measures continue to increase into very old age.
MATERIALS AND METHODS: A total of 1715 elderly individuals (807 men and 908 women) age 67-93 years, participants in a population-based study, the Age, Gene/Environment Susceptibility-Reykjavik Study (AGES-REYKJAVIK) and not taking medications affecting bone metabolism, were studied. Quantitative computed tomography (QCT) was performed in the lumbar spine, hip and mid-femoral shaft to estimate volumetric trabecular, cortical and integral BMD, bone geometry and bone strength indices. Regression models were used to assess the effects of age and gender-adjustment for standing midlife height and current weight.
RESULTS: At age 67-69 years, men had 24.9-31.7% larger cross-sectional bone size at measured sites than women. At all bone sites, women had two- to fivefold diminution in net bone mass with age compared to men but had comparable increments in bone size (1.8-6.0% per 10 years). This was reflected in significantly worse (more than twofold) bone strength measures with age in women, including compressive strength indices at the spine, femoral neck and trochanter and bending strength indices at the femoral neck.
CONCLUSION: With the limitations of a cross-sectional study, our data support the hypothesis that sex differences in bone strength continue into old age. These sex differences appear to be due to greater net bone loss in women rather than due to greater bone gain in men.

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Year:  2006        PMID: 16790372     DOI: 10.1016/j.bone.2006.03.020

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  60 in total

1.  QCT measures of bone strength at the thoracic and lumbar spine: the Framingham Study.

Authors:  Elizabeth J Samelson; Blaine A Christiansen; Serkalem Demissie; Kerry E Broe; Qiong Louie-Gao; L Adrienne Cupples; Benjamin J Roberts; Rajaram Manoharam; John D'Agostino; Thomas Lang; Douglas P Kiel; Mary L Bouxsein
Journal:  J Bone Miner Res       Date:  2012-03       Impact factor: 6.741

2.  Sex-related variations in cortical and trabecular bone of the femoral neck in an elderly Chinese population.

Authors:  L Wang; X G Cheng; Y B Su; K Brown; L Xu; K Li; C X Zhang; Y Zhang; Y Y Duanmu; X B Wu; M Y Wang
Journal:  Osteoporos Int       Date:  2017-04-12       Impact factor: 4.507

3.  Associations of 24-hour sleep duration and CT-derived measurements of muscle and bone: The AGES-Reykjavik Study.

Authors:  Elisa A Marques; Pedro Figueiredo; Vilmundur Gudnason; Thomas Lang; Gunnar Sigurdsson; Sigurdur Sigurdsson; Thor Aspelund; Kristin Siggeirsdottir; Lenore Launer; Gudny Eiriksdottir; Tamara B Harris
Journal:  Exp Gerontol       Date:  2017-04-09       Impact factor: 4.032

4.  Does thoracic or lumbar spine bone architecture predict vertebral failure strength more accurately than density?

Authors:  E-M Lochmüller; K Pöschl; L Würstlin; M Matsuura; R Müller; T M Link; F Eckstein
Journal:  Osteoporos Int       Date:  2007-10-03       Impact factor: 4.507

5.  Predictors of new vertebral endplate signal (Modic) changes in the general population.

Authors:  Tue Secher Jensen; Per Kjaer; Lars Korsholm; Tom Bendix; Joan S Sorensen; Claus Manniche; Charlotte Leboeuf-Yde
Journal:  Eur Spine J       Date:  2009-11-18       Impact factor: 3.134

Review 6.  Finite element analysis of the hip and spine based on quantitative computed tomography.

Authors:  R Dana Carpenter
Journal:  Curr Osteoporos Rep       Date:  2013-06       Impact factor: 5.096

7.  Incidence and prevalence of total joint replacements due to osteoarthritis in the elderly: risk factors and factors associated with late life prevalence in the AGES-Reykjavik Study.

Authors:  Helgi Jonsson; Sigurbjorg Olafsdottir; Solveig Sigurdardottir; Thor Aspelund; Gudny Eiriksdottir; Sigurdur Sigurdsson; Tamara B Harris; Lenore Launer; Vilmundur Gudnason
Journal:  BMC Musculoskelet Disord       Date:  2016-01-12       Impact factor: 2.362

8.  Medial-to-lateral ratio of tibiofemoral subchondral bone area is adapted to alignment and mechanical load.

Authors:  Felix Eckstein; Martin Hudelmaier; September Cahue; Meredith Marshall; Leena Sharma
Journal:  Calcif Tissue Int       Date:  2009-01-16       Impact factor: 4.333

9.  Three-dimensional structural analysis of the proximal femur in an age-stratified sample of women.

Authors:  Kristy M Nicks; Shreyasee Amin; L Joseph Melton; Elizabeth J Atkinson; Louise K McCready; B Lawrence Riggs; Klaus Engelke; Sundeep Khosla
Journal:  Bone       Date:  2013-02-26       Impact factor: 4.398

10.  Association of bone turnover markers with volumetric bone loss, periosteal apposition, and fracture risk in older men and women: the AGES-Reykjavik longitudinal study.

Authors:  E A Marques; V Gudnason; T Lang; G Sigurdsson; S Sigurdsson; T Aspelund; K Siggeirsdottir; L Launer; G Eiriksdottir; T B Harris
Journal:  Osteoporos Int       Date:  2016-06-24       Impact factor: 4.507

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