Literature DB >> 23044816

Ethnic variability in bone geometry as assessed by hip structure analysis: findings from the hip strength across the menopausal transition study.

Michelle E Danielson1, Thomas J Beck, Yinjuan Lian, Arun S Karlamangla, Gail A Greendale, Kristine Ruppert, Joan Lo, Susan Greenspan, Marike Vuga, Jane A Cauley.   

Abstract

Racial/ethnic origin plays an important role in fracture risk. Racial/ethnic differences in fracture rates cannot be fully explained by bone mineral density (BMD). Studies examining the influence of bone geometry and strength on fracture risk have focused primarily on older adults and have not included people from diverse racial/ethnic backgrounds. Our goal was to explore racial/ethnic differences in hip geometry and strength in a large sample of midlife women. We performed hip structure analysis (HSA) on hip dual-energy X-ray absorptiometry (DXA) scans from 1942 premenopausal and early perimenopausal women. The sample included white (50%), African American (27%), Chinese (11%), and Japanese (12%) women aged 42 to 52 years. HSA was performed using software developed at Johns Hopkins University. African American women had higher conventional (8.4% to 9.7%) and HSA BMD (5.4% to 19.8%) than other groups with the exception being Japanese women, who had the highest HSA BMD (9.7% to 31.4%). HSA indices associated with more favorable geometry and greater strength and resistance to fracture were more prevalent in African American and Japanese women. Femurs of African American women had a smaller outer diameter, a larger cross-sectional area and section modulus, and a lower buckling ratio. Japanese women presented a different pattern with a higher section modulus and lower buckling ratio, similar to African American women, but a wider outer diameter; this was offset by a greater cross-sectional area and a more centrally located centroid. Chinese women had similar conventional BMD as white women but a smaller neck region area and HSA BMD at both regions. They also had a smaller cross-sectional area and section modulus, a more medially located centroid, and a higher buckling ratio than white women. The observed biomechanical differences may help explain racial/ethnic variability in fracture rates. Future research should explore the contribution of hip geometry to fracture risk across all race/ethnicities.
Copyright © 2013 American Society for Bone and Mineral Research.

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Year:  2013        PMID: 23044816      PMCID: PMC3586935          DOI: 10.1002/jbmr.1781

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


  36 in total

1.  Age trends in proximal femur geometry in men: variation by race and ethnicity.

Authors:  T G Travison; T J Beck; G R Esche; A B Araujo; J B McKinlay
Journal:  Osteoporos Int       Date:  2007-11-24       Impact factor: 4.507

2.  Relation between age, femoral neck cortical stability, and hip fracture risk.

Authors:  Paul M Mayhew; C David Thomas; John G Clement; Nigel Loveridge; Thomas J Beck; William Bonfield; Chris J Burgoyne; Jonathan Reeve
Journal:  Lancet       Date:  2005 Jul 9-15       Impact factor: 79.321

3.  Differences in hip axis and femoral neck length in premenopausal women of Polynesian, Asian and European origin.

Authors:  K Chin; M C Evans; J Cornish; T Cundy; I R Reid
Journal:  Osteoporos Int       Date:  1997       Impact factor: 4.507

4.  Contributions of bone density and structure to fracture risk assessment in men and women.

Authors:  L Joseph Melton; Thomas J Beck; Shreyasee Amin; Sundeep Khosla; Sara J Achenbach; Ann L Oberg; B Lawrence Riggs
Journal:  Osteoporos Int       Date:  2005-02-02       Impact factor: 4.507

5.  Structural determinants of hip fracture in elderly women: re-analysis of the data from the EPIDOS study.

Authors:  P Szulc; F Duboeuf; A M Schott; P Dargent-Molina; P J Meunier; P D Delmas
Journal:  Osteoporos Int       Date:  2005-06-28       Impact factor: 4.507

6.  Bone density and geometry in assessing hip fracture risk in post-menopausal women.

Authors:  S Gnudi; E Sitta; N Fiumi
Journal:  Br J Radiol       Date:  2007-09-17       Impact factor: 3.039

7.  Race and ethnic variation in proximal femur structure and BMD among older men.

Authors:  Lynn M Marshall; Joseph M Zmuda; Benjamin Ks Chan; Elizabeth Barrett-Connor; Jane A Cauley; Kristine E Ensrud; Thomas F Lang; Eric S Orwoll
Journal:  J Bone Miner Res       Date:  2008-01       Impact factor: 6.741

8.  Load distribution in the healthy and osteoporotic human proximal femur during a fall to the side.

Authors:  E Verhulp; B van Rietbergen; R Huiskes
Journal:  Bone       Date:  2007-09-06       Impact factor: 4.398

9.  Prediction of incident hip fracture risk by femur geometry variables measured by hip structural analysis in the study of osteoporotic fractures.

Authors:  Stephen Kaptoge; Thomas J Beck; Jonathan Reeve; Katie L Stone; Teresa A Hillier; Jane A Cauley; Steven R Cummings
Journal:  J Bone Miner Res       Date:  2008-12       Impact factor: 6.741

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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  18 in total

1.  Femoral Neck External Size but not aBMD Predicts Structural and Mass Changes for Women Transitioning Through Menopause.

Authors:  Karl J Jepsen; Andrew Kozminski; Erin Mr Bigelow; Stephen H Schlecht; Robert W Goulet; Sioban D Harlow; Jane A Cauley; Carrie Karvonen-Gutierrez
Journal:  J Bone Miner Res       Date:  2017-01-30       Impact factor: 6.741

2.  Risk factors for fracture in middle-age and older-age men of African descent.

Authors:  Yahtyng Sheu; Jane A Cauley; Alan L Patrick; Victor W Wheeler; Clareann H Bunker; Joseph M Zmuda
Journal:  J Bone Miner Res       Date:  2014-01       Impact factor: 6.741

Review 3.  Bone Health During the Menopause Transition and Beyond.

Authors:  Arun S Karlamangla; Sherri-Ann M Burnett-Bowie; Carolyn J Crandall
Journal:  Obstet Gynecol Clin North Am       Date:  2018-10-25       Impact factor: 2.844

4.  Applying ethnic-specific bone mineral density T-scores to Chinese women in the USA.

Authors:  J C Lo; S Kim; M Chandra; B Ettinger
Journal:  Osteoporos Int       Date:  2016-07-28       Impact factor: 4.507

5.  Longitudinal changes in hip geometry in relation to the final menstrual period: Study of Women's Health Across the Nation (SWAN).

Authors:  Nayana Nagaraj; Robert M Boudreau; Michelle E Danielson; Gail A Greendale; Arun S Karlamangla; Thomas J Beck; Jane A Cauley
Journal:  Bone       Date:  2019-03-03       Impact factor: 4.398

6.  Correlation between pelvic tilt and the sacro-femoral-pubic angle in patients with adolescent idiopathic scoliosis, patients with congenital scoliosis, and healthy individuals.

Authors:  Hassan Ghandhari; Daniel Fadaei Fouladi; Mir Bahram Safari; Ebrahim Ameri
Journal:  Eur Spine J       Date:  2015-04-18       Impact factor: 3.134

7.  Effect of vitamin D on bone strength in older African Americans: a randomized controlled trial.

Authors:  R Dhaliwal; S Islam; M Mikhail; L Ragolia; J F Aloia
Journal:  Osteoporos Int       Date:  2020-01-14       Impact factor: 4.507

Review 8.  A biomechanical sorting of clinical risk factors affecting osteoporotic hip fracture.

Authors:  Y Luo
Journal:  Osteoporos Int       Date:  2015-09-11       Impact factor: 4.507

9.  Race/ethnic differences in associations between bone mineral density and fracture history in older men.

Authors:  M-H Shin; J M Zmuda; E Barrett-Connor; Y Sheu; A L Patrick; P C Leung; A Kwok; S-S Kweon; H-S Nam; J A Cauley
Journal:  Osteoporos Int       Date:  2013-10-22       Impact factor: 4.507

10.  Hip Structural Analysis Reveals Impaired Hip Geometry in Girls With Type 1 Diabetes.

Authors:  Taïsha V Joseph; Signe Caksa; Madhusmita Misra; Deborah M Mitchell
Journal:  J Clin Endocrinol Metab       Date:  2020-12-01       Impact factor: 5.958

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