Literature DB >> 21811865

Association between weight changes and changes in hip geometric indices in the Japanese female population during 10-year follow-up: Japanese Population-based Osteoporosis (JPOS) Cohort Study.

N DongMei1, M Iki, J Tamaki, Y Sato, S Kagamimori, Y Kagawa, H Yoneshima.   

Abstract

UNLABELLED: During a 10-year follow-up of 893 women of various ages from the Japanese Population-based Osteoporosis Cohort Study, we evaluated the relationship between weight changes and hip geometric strength assessed by hip structure analysis. Our findings suggest that maintaining weight may help retain geometric strength and reduce hip fracture risk.
INTRODUCTION: The effects of changes in anthropometric indices on hip geometry in women of various ages are unclear. We evaluated these effects by analyzing 10-year longitudinal data from a representative sample of Japanese women.
METHODS: Dual-energy X-ray absorptiometry scans of the proximal femur were performed at baseline and at the 10-year follow-up. Data were analyzed with the Hip Structure Analysis (HSA) program, which yields geometric strength indices including cross-sectional area (CSA), section modulus (SM) and subperiosteal diameter (PD) at regions of interest (ROIs) in the narrow neck (NN), intertrochanter, and femoral shaft (FS) regions. Annual percent change of each HSA index was determined. Height and weight were measured at baseline and follow-up.
RESULTS: After excluding subjects with factors affecting bone metabolism, we evaluated 893 women (18-79 years old at baseline). The greatest changes in most HSA indices during the follow-up were observed in subjects aged ≥ 70 years at all ROIs. PD modestly but significantly expanded with age, but this change was not significant in subjects aged ≥ 70 years or those who had entered menopause ≥ 20 years before baseline. An increasing trend in weight was associated with an increase or smaller decline in CSA and SM at the NN and FS regions regardless of menopausal status after adjusting for age, height, and weight at baseline and change of estimated volumetric bone mineral density. Changes in height showed a much weaker association with HSA indices.
CONCLUSIONS: Maintaining weight may help retain hip geometric strength and reduce the risk of hip fracture.

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Year:  2011        PMID: 21811865     DOI: 10.1007/s00198-011-1733-8

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


  31 in total

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2.  Femoral bone mineral density, neck-shaft angle and mean femoral neck width as predictors of hip fracture in men and women. Multicenter Project for Research in Osteoporosis.

Authors:  C G Alonso; M D Curiel; F H Carranza; R P Cano; A D Peréz
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5.  Mechanobiologic influences in long bone cross-sectional growth.

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7.  Femoral bone structural geometry adapts to mechanical loading and is influenced by sex steroids: the Penn State Young Women's Health Study.

Authors:  Moira A Petit; Thomas J Beck; Hung-Mo Lin; Christy Bentley; Richard S Legro; Tom Lloyd
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8.  Does hip strength analysis explain the lower incidence of hip fracture in the People's Republic of China?

Authors:  L Yan; N J Crabtree; J Reeve; B Zhou; J Dequeker; J Nijs; J A Falch; A Prentice
Journal:  Bone       Date:  2004-03       Impact factor: 4.398

9.  Bone loss and bone size after menopause.

Authors:  Henrik G Ahlborg; Olof Johnell; Charles H Turner; Gunnar Rannevik; Magnus K Karlsson
Journal:  N Engl J Med       Date:  2003-07-24       Impact factor: 91.245

10.  Femoral neck BMD is a strong predictor of hip fracture susceptibility in elderly men and women because it detects cortical bone instability: the Rotterdam Study.

Authors:  Fernando Rivadeneira; M Carola Zillikens; Chris Edh De Laet; Albert Hofman; André G Uitterlinden; Thomas J Beck; Huibert Ap Pols
Journal:  J Bone Miner Res       Date:  2007-11       Impact factor: 6.741

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  3 in total

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2.  Humanized GPRC6AKGKY is a gain-of-function polymorphism in mice.

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3.  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
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