The Experts below are selected from a list of 321 Experts worldwide ranked by ideXlab platform
Enzo Bonora - One of the best experts on this subject based on the ideXlab platform.
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is it possible to derive a reliable estimate of human visceral and subcutaneous abdominal adipose tissue from simple Anthropometric Measurements
Metabolism-clinical and Experimental, 1995Co-Authors: Enzo Bonora, R Micciolo, Abraham A Ghiatas, Jack L LancasterAbstract:Abstract The aim of the study was to generate equations predicting visceral (VAT) and subcutaneous (SAT) abdominal adipose tissue (AT) from simple Anthropometric Measurements. Magnetic resonance imaging (MRI) was used to measure VAT and SAT cross-sectional areas at the level of L4 in 49 subjects (19 men and 30 women) with a large range of age and body mass index (BMI). BMI, waist and hip circumferences, waist to hip ratio (WHR), subscapular and paraumbilical skinfolds (ie, “simple” Anthropometric Measurements), total body fat content by the isotope-dilution method, and abdominal sagittal diameter by MRI (ie, “nonsimple” Anthropometric Measurements) were also measured. Equations to estimate VAT and SAT from age and simple Anthropometric Measurements (ie, excluding total body fat and abdominal sagittal diameter) were developed. These equations were then used in 24 subjects (nine men and 15 women) to Cross-validate them. The best regression equations, including waist circumference in men and waist circumference and age in women, explained 56% and 68% of VAT variability, respectively. The corresponding standard error of the estimate (SEE) in men was approximately 40% and in women approximately 37% of the mean value of VAT measured by MRI. The best regression equations developed to predict SAT had a higher explained variability (∼87% in both men and women) and a lower SEE (
Abraham A Ghiatas - One of the best experts on this subject based on the ideXlab platform.
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is it possible to derive a reliable estimate of human visceral and subcutaneous abdominal adipose tissue from simple Anthropometric Measurements
Metabolism-clinical and Experimental, 1995Co-Authors: Enzo Bonora, R Micciolo, Abraham A Ghiatas, Jack L LancasterAbstract:Abstract The aim of the study was to generate equations predicting visceral (VAT) and subcutaneous (SAT) abdominal adipose tissue (AT) from simple Anthropometric Measurements. Magnetic resonance imaging (MRI) was used to measure VAT and SAT cross-sectional areas at the level of L4 in 49 subjects (19 men and 30 women) with a large range of age and body mass index (BMI). BMI, waist and hip circumferences, waist to hip ratio (WHR), subscapular and paraumbilical skinfolds (ie, “simple” Anthropometric Measurements), total body fat content by the isotope-dilution method, and abdominal sagittal diameter by MRI (ie, “nonsimple” Anthropometric Measurements) were also measured. Equations to estimate VAT and SAT from age and simple Anthropometric Measurements (ie, excluding total body fat and abdominal sagittal diameter) were developed. These equations were then used in 24 subjects (nine men and 15 women) to Cross-validate them. The best regression equations, including waist circumference in men and waist circumference and age in women, explained 56% and 68% of VAT variability, respectively. The corresponding standard error of the estimate (SEE) in men was approximately 40% and in women approximately 37% of the mean value of VAT measured by MRI. The best regression equations developed to predict SAT had a higher explained variability (∼87% in both men and women) and a lower SEE (
R Micciolo - One of the best experts on this subject based on the ideXlab platform.
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is it possible to derive a reliable estimate of human visceral and subcutaneous abdominal adipose tissue from simple Anthropometric Measurements
Metabolism-clinical and Experimental, 1995Co-Authors: Enzo Bonora, R Micciolo, Abraham A Ghiatas, Jack L LancasterAbstract:Abstract The aim of the study was to generate equations predicting visceral (VAT) and subcutaneous (SAT) abdominal adipose tissue (AT) from simple Anthropometric Measurements. Magnetic resonance imaging (MRI) was used to measure VAT and SAT cross-sectional areas at the level of L4 in 49 subjects (19 men and 30 women) with a large range of age and body mass index (BMI). BMI, waist and hip circumferences, waist to hip ratio (WHR), subscapular and paraumbilical skinfolds (ie, “simple” Anthropometric Measurements), total body fat content by the isotope-dilution method, and abdominal sagittal diameter by MRI (ie, “nonsimple” Anthropometric Measurements) were also measured. Equations to estimate VAT and SAT from age and simple Anthropometric Measurements (ie, excluding total body fat and abdominal sagittal diameter) were developed. These equations were then used in 24 subjects (nine men and 15 women) to Cross-validate them. The best regression equations, including waist circumference in men and waist circumference and age in women, explained 56% and 68% of VAT variability, respectively. The corresponding standard error of the estimate (SEE) in men was approximately 40% and in women approximately 37% of the mean value of VAT measured by MRI. The best regression equations developed to predict SAT had a higher explained variability (∼87% in both men and women) and a lower SEE (
Chingyu Chen - One of the best experts on this subject based on the ideXlab platform.
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thigh muscle volume predicted by Anthropometric Measurements and correlated with physical function in the older adults
Journal of Nutrition Health & Aging, 2011Co-Authors: Bangbin Chen, T. T. F. Shih, Chihwei Yu, Chingyu Chen, C.h. Wu, C Y ChenAbstract:Objectives 1) to correlate thigh muscle volume measured by magnetic resonance image (MRI) with Anthropometric Measurements and physical function in elderly subjects; 2) to predict MRI-measured thigh muscle volume using Anthropometric Measurements and physical functional status in elderly subjects.
Gary Cutter - One of the best experts on this subject based on the ideXlab platform.
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The Effect of Cigarette Smoking on Neonatal Anthropometric Measurements
Obstetrics and gynecology, 1995Co-Authors: Suzanne P. Cliver, Robert L. Goldenberg, Gary Cutter, Richard O. Davis, Kathleen G. NelsonAbstract:Objective To estimate the effect of maternal cigarette smoking on birth weight, crown-heel length, and ten other neonatal Anthropometric Measurements. Methods Data are from a cohort study on risk factors for fetal growth retardation (FGR) in multiparous women conducted from December 1985 through October 1988. Information on smoking status was collected four times during pregnancy. Data analysis included 1205 singleton infants of women delivering at term. Neonatal Anthropometric Measurements were obtained within 48 hours of birth, including birth weight, crown-heel length, ponderal index, head and abdominal circumferences, arm length and circumference, femur length and thigh circumference, and triceps, thigh, and subscapular skinfold Measurements. Analysis of covariance models were used to assess the independent effect of smoking on each neonatal measurement. Results Neonates born to women who reported smoking during the first trimester had a 0.6–1.9% reduction in most neonatal Anthropometric Measurements, resulting in an overall reduction of birth weight of 130 g (4%). Neonates born to women who continued to smoke throughout pregnancy had an average adjusted reduction in birth weight of 189 g (5.9%), compared with a 55 g (1.7%) reduction for neonates born to women who stopped smoking after the first trimester. For women who continued to smoke throughout pregnancy, an increased number of cigarettes smoked was associated with increased reductions in birth weight and neonatal chest and abdominal circumferences. For women who stopped smoking after the first trimester, stopping was a better predictor of neonatal Anthropometric Measurements than the number of cigarettes smoked early in pregnancy. Conclusion Except for the ponderal index, all neonatal Anthropometric Measurements studied showed some negative effect of maternal cigarette smoking. Head circumference is the measurement least reduced. Smoking cessation is a better predictor of infant size than the number of cigarettes smoked in the first trimester. (Obstet Gynecol 1995;85:625-30)
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The relationship between maternal and neonatal Anthropometric Measurements in term newborns
Obstetrics and gynecology, 1995Co-Authors: Yasmin H. Neggers, Suzanne P. Cliver, Robert L. Goldenberg, Gary CutterAbstract:Objective To determine whether measures of maternal lean mass, fat reserves, or a combination of both best predict the various measures of newborn size at birth. Methods The population consisted of 1205 multiparous, predominantly black women at high risk for fetal growth retardation, who delivered at term at the University of Alabama at Birmingham. Maternal body mass index (BMI) was calculated using the reported prepregnancy weight. Maternal Anthropometric Measurements taken at midpregnancy included skinfold thicknesses, lean body mass, and mid-arm, calf, and wrist circumferences. Weight and 11 other neonatal Measurements were made within 24 hours of birth and related to various maternal Anthropometric Measurements. Results Reported maternal prepregnancy weight was the best predictor of all neonatal size measures except for the neonatal skinfold thicknesses, which were better predicted by the prepregnancy BMI. For example, the range between the tenth and 90th percentiles of maternal prepregnancy weight (46.3–86.4 kg) was associated with 295 g birth weight compared to only 188 g birth weight for a measure of lean body mass. Conculsion Most maternal Anthropometric Measurements were significantly associated with most neonatal Measurements. However, for nearly every neonatal measurement considered, the maternal prepregnancy weight was the best predictor.
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Maternal risk factors and their influence on fetal Anthropometric Measurements
American journal of obstetrics and gynecology, 1993Co-Authors: Robert L. Goldenberg, Suzanne P. Cliver, Gary Cutter, Richard O. Davis, Howard J. Hoffnan, Mary B. Dubard, Rachel L. CopperAbstract:Objective: Our purpose was to determine if and when maternal risk factors and fetal sex have an impact on specific fetal Anthropometric Measurements assessed by ultrasonography. Study Design: Serial ultrasonographic examinations were performed on 1205 fetuses of indigent multiparous women who ultimately gave birth at term. Femur length, abdominal circumference, and head circumference Measurements were obtained at mean gestational ages of 18, 25, 31, and 36 weeks, and an estimated fetal weight was calculated. At birth the infant was weighed and head circumference, abdominal circumference, femur length, and crown-heel length Measurements were made. Regression analyses were used to determine the effect on each measurement of maternal race, height, body mass index, hypertension, weight gain, smoking, previous low birth weight, and fetal sex. Results: Acting through their effect on head circumference, abdominal circumference, and fetal length, each of the risk factors and female sex were shown to have a negative effect on fetal weight. The timing of the impact, its magnitude, and the specific Anthropometric measurement affected were different for each of the risk factors. Conclusions: The impact of maternal risk factors and fetal sex on estimated fetal weight has been demonstrated to occur first in specific gestational age windows and is mediated through effects on specific fetal Anthropometric Measurements.
