Literature DB >> 22364926

Anthropometric predictors of geometric indices of hip bone strength in a group of Lebanese postmenopausal women.

Rawad El Hage1, Rafic Baddoura.   

Abstract

The effects of anthropometric characteristics on hip bone strength in postmenopausal women are not completely elucidated. The aim of this study was to investigate the influence of anthropometric characteristics on geometric indices of hip bone strength using the hip structure analysis (HSA) program in a group of Lebanese postmenopausal women. This study included 109 postmenopausal women (aged 64--84yr). Age and years since menopause were recorded. Body composition and bone mineral density were assessed by dual-energy X-ray absorptiometry (DXA). To evaluate hip bone strength, DXA scans were analyzed at the femoral neck (FN), the intertrochanteric (IT), and the femoral shaft (FS) by the HSA program. Cross-sectional area (CSA), an index of axial compression strength, section modulus (Z), an index of bending strength, and buckling ratio (BR), an estimate of cortical stability in buckling, were measured from bone mass profiles. Using univariate analysis, weight, height, body mass index (BMI), lean mass, and fat mass were positively correlated to CSA and Z of the FN, IT, and FS. Weight, BMI, fat mass, and fat mass percentage were negatively correlated to BR of the FN, IT, and FS. Multiple linear regression analysis showed that lean mass was a stronger determinant of FN CSA, FN Z, IT Z, and FS Z than fat mass, whereas fat mass was a stronger determinant of IT CSA, FS CSA, IT BR, and FS BR than lean mass. This study suggests that, in postmenopausal women, fat mass is a strong predictor of hip axial compression strength and cortical stability in buckling, and lean mass is a strong predictor of hip bending strength.
Copyright © 2012 The International Society for Clinical Densitometry. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22364926     DOI: 10.1016/j.jocd.2011.11.003

Source DB:  PubMed          Journal:  J Clin Densitom        ISSN: 1094-6950            Impact factor:   2.617


  7 in total

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Authors:  Hamid Arazi; Mahbobeh Samadpour; Ehsan Eghbali
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4.  Association of body composition with predicted hip bone strength among Chinese postmenopausal women: a longitudinal study.

Authors:  Xin Shi; Yunyang Deng; Huili Kang; Meng Liu; Yu-Ming Chen; Su-Mei Xiao
Journal:  Sci Rep       Date:  2019-04-02       Impact factor: 4.379

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6.  Estimating body mass and composition from proximal femur dimensions using dual energy x-ray absorptiometry.

Authors:  Emma Pomeroy; Veena Mushrif-Tripathy; Bharati Kulkarni; Sanjay Kinra; Jay T Stock; Tim J Cole; Meghan K Shirley; Jonathan C K Wells
Journal:  Archaeol Anthropol Sci       Date:  2018-06-18       Impact factor: 1.989

7.  Relationship between body mass, lean mass, fat mass, and limb bone cross-sectional geometry: Implications for estimating body mass and physique from the skeleton.

Authors:  Emma Pomeroy; Alison Macintosh; Jonathan C K Wells; Tim J Cole; Jay T Stock
Journal:  Am J Phys Anthropol       Date:  2018-01-18       Impact factor: 2.868

  7 in total

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