672 research outputs found
The relationship between anthropometric parameters and bone mineral density in an Iranian referral population
Osteoporosis is a common health concern in both developed and developing countries. In this study the association between anthropometric measures and osteoporosis was investigated in 3630 males and females visiting BMD clinic of Shariati Hospital, Tehran, Iran, a teaching hospital and referral center for osteoporosis affiliated to the Tehran University of Medical Sciences. Anthropometric measurements obtained and also Bone Mineral Density (BMD) measurement was done using a Lunar DPXMD densitometer. Data were analyzed using SPSS with Chi-square and ANOVA with post-hoc tests. Results showed that the weight, BMI and age had the strongest correlation with the BMD values in the studied people. While age is negatively correlated with BMD in all the studied people, a positive association was noted between weight, height and BMI and BMD parameters (P<0.01). It was concluded that certain anthropometric parameters (BMI and weight) can considerably affect one's risk of developing osteoporosis. Further research on the effect of these variables on the association of weight and BMD is needed
Dual energy X-ray absorptiometry diagnostic discordance between Z scores and T scores in a young Iranian population
Background: Dual-energy X-ray Absorptiometry (DXA) is considered the gold standard for non-invasive
measurement of bone mass. T-scores and Z-scores are used to present the results of bone mass. The present
study was designed to evaluate the discordance between T-scores and Z-scores calculated at a same level and its
relation with age, gender and body mass index (BMI) in a representative sample of normal population.
Methods: This cross-sectional study was conducted as a part of a comprehensive survey, Iranian Multicenter
Osteoporosis Study (IMOS), designed to assess bone health among healthy adults. Each individual underwent
both L1–L4 antero-posterior lumbar spine and hip DXA scan. The difference between the T- and Z-scores
measured at each of the four skeletal sites was then calculated.
Results: A -1.21 to 1.21 point difference was noted in the Z- and T- scores measured at each site. While the
difference between the T- and Z-scores was less than 0.5 SD in most of the cases, the difference was higher than
1 SD in about 5% of the subjects.
Conclusion: Standardization of Z-score definition and calculation techniques as well as developing an ethnicity-matched
reference population is needed to improve the reliability of DXA-generated Z-scores
Optimized Placement of Wind Turbines in Large-Scale Offshore Wind Farm using Particle Swarm Optimization Algorithm
Coordinated Power Dispatch of a PMSG based Wind Farm for Output Power Maximizing Considering the Wake Effect and Losses
A Nonlinear Attitude Estimator for Attitude and Heading Reference Systems Based on MEMS Sensors
Wind Farm Active Power Dispatch for Output Power Maximizing Based on a Wind Turbine Control Strategy for Load Minimizing
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