Advanced Hip Analysis: Simple Geometric Measurements Predict Hip Fracture Beyond Bone Mineral Density

2015 ◽  
Vol 1 (2) ◽  
pp. 109-122 ◽  
Author(s):  
Ramon Boudreaux ◽  
Jean Sibonga
1996 ◽  
Vol 6 (S1) ◽  
pp. 127-127 ◽  
Author(s):  
E. Waern ◽  
C. Christiansen ◽  
I. Gause-Nilsson ◽  
G. Lindstedt ◽  
A. Odén ◽  
...  

2000 ◽  
Vol 11 (10) ◽  
pp. 866-870 ◽  
Author(s):  
I. Pande ◽  
T. W. O"Neill ◽  
C. Pritchard ◽  
D. L. Scott ◽  
A. D. Woolf

2010 ◽  
Vol 45 (3) ◽  
pp. 228 ◽  
Author(s):  
Hwa Jae Jeong ◽  
Jae-Yeol Choi ◽  
Jinmyung Lee ◽  
Kyubo Choi ◽  
Byeongsam Jeon

2010 ◽  
Vol 81 (4) ◽  
pp. 453-459 ◽  
Author(s):  
Björn E Rosengren ◽  
Henrik G Ahlborg ◽  
Per Gärdsell ◽  
Ingemar Sernbo ◽  
Robin M Daly ◽  
...  

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Zewei Shen ◽  
◽  
Canqing Yu ◽  
Yu Guo ◽  
Zheng Bian ◽  
...  

Abstract Summary In a Chinese population from both urban and rural areas, weight loss of ≥ 5 kg from early adulthood to midlife was associated with a higher risk of hip fracture and lower BMD in later life. Introduction This study investigates the association of the long-term weight loss from young adulthood through the middle ages with the subsequent 10-year risk of hospitalized fracture and calcaneus bone mineral density (BMD). Methods China Kadoorie Biobank (CKB) was established during 2004–2008 in ten areas across China. Weight at age 25 years was self-reported at baseline, and weight at baseline and resurvey was measured by the calibrated equipment. Outcomes were hospitalized fracture during follow-up and calcaneus BMD measured at resurvey. Analysis for fracture risk included 411,812 participants who were free of fracture in the last 5 years before baseline, cancer, or stroke at any time before baseline. Analysis for BMD included 21,453 participants who participated in the resurvey of 2013–2014 with the same exclusion criteria as above. Results The mean age was 50.8 at baseline and 58.4 at resurvey. Median weight change from age 25 to baseline was 4.4 kg, with 20.7% losing weight and 58.5% gaining weight. During a median follow-up of 10.1 years, we documented 13,065 cases of first diagnosed fracture hospitalizations, including 1222 hip fracture. Compared with participants whose weight was stable (± 2.4 kg), the adjusted hazard ratios (95% CIs) for those with weight loss of ≥ 5.0 kg from age 25 to baseline was 1.39 (1.17 to 1.66) for hip fracture. Weight loss was not associated with fracture risk at other sites. Those with weight loss from age 25 to resurvey had the lowest BMD measures, with β (95% CIs) of − 4.52 (− 5.08 to − 3.96) for broadband ultrasound attenuation (BUA), − 4.83 (− 6.98, − 2.67) for speed of sound (SOS), and − 4.36 (− 5.22, − 3.49) for stiffness index (SI). Conclusions Weight loss from early adulthood to midlife was associated with a higher risk of hip fracture and lower BMD in later life.


Author(s):  
W. P. Munsell, Jr.

Abstract Researchers have attempted to evaluate the likelihood of hip fracture as a function of an engineering concept called the moment of inertia, as applied to the cross-sectional area of hip bones. While the premise is sound, the results have been disappointing. Although several authors have acknowledged that errors may arise in the current methods investigators employ to determine the cross section moment of inertia (CSMI), none have looked critically at the sources, or even the magnitude, of those errors. This paper evaluates the nature of the error that can be introduced by the use of one-dimensional bone mineral density scans to estimate the CSMI and quantifies its impact on predictive calculations. In addition, this paper presents an improved method for approximating the mechanical section properties of highly complex cross sections. The factors affecting the accuracy of the proposed method are tested, and its error rate is also quantified. The method employs a two-dimensional analysis of digital images of the subject cross section and does not require extensive user expertise or investment in expensive finite element analysis programs to implement. The limited file space necessary to install the required code means that standard smart phones could be used to directly evaluate the most complex cross section in the field.


Sign in / Sign up

Export Citation Format

Share Document