Effect of local vibrotherapy in sitting or lying position in two time protocols on the cellulite grade and change of body circumferences in women with cellulite

2021 ◽  
Author(s):  
Anna Piotrowska ◽  
Olga Czerwińska‐Ledwig
Keyword(s):  
Body Circumferences

scholarly journals A novel body circumferences-based estimation of percentage body fat

2018 ◽  
Vol 119 (6) ◽  
pp. 720-725 ◽  
Author(s):  
Yair Lahav ◽  
Yoram Epstein ◽  
Ron Kedem ◽  
Haggai Schermann
Keyword(s):  
Body Fat ◽  
Field Research ◽  
Cost Effective ◽  
Population Based ◽  
Reliable Estimate ◽  
Study Cohort ◽  
Anthropometric Measures ◽  
Percentage Body Fat ◽  
Health Club ◽  
Body Circumferences

AbstractAnthropometric measures of body composition are often used for rapid and cost-effective estimation of percentage body fat (%BF) in field research, serial measurements and screening. Our aim was to develop a validated estimate of %BF for the general population, based on simple body circumferences measures. The study cohort consisted of two consecutive samples of health club members, designated as ‘development’ (n 476, 61 % men, 39 % women) and ‘validation’ (n 224, 50 % men, 50 % women) groups. All subjects underwent anthropometric measurements as part of their registration to a health club. Dual-energy X-ray absorptiometry (DEXA) scan was used as the ‘gold standard’ estimate of %BF. Linear regressions where used to construct the predictive equation (%BFcal). Bland–Altman statistics, Lin concordance coefficients and percentage of subjects falling within 5 % of %BF estimate by DEXA were used to evaluate accuracy and precision of the equation. The variance inflation factor was used to check multicollinearity. Two distinct equations were developed for men and women: %BFcal (men)=10·1−0·239H+0·8A−0·5N; %BFcal (women)=19·2−0·239H+0·8A−0·5N (H, height; A, abdomen; N, neck, all in cm). Bland–Altman differences were randomly distributed and showed no fixed bias. Lin concordance coefficients of %BFcal were 0·89 in men and 0·86 in women. About 79·5 % of %BF predictions in both sexes were within ±5 % of the DEXA value. The Durnin–Womersley skinfolds equation was less accurate in our study group for prediction of %BF than %BFcal. We conclude that %BFcal offers the advantage of obtaining a reliable estimate of %BF from simple measurements that require no sophisticated tools and only a minimal prior training and experience.

scholarly journals A Single 10k Run Session does not Change neither Skinfold Thickness nor Body Circumferences

2020 ◽  
Vol 7 (2) ◽  
pp. 69-72
Author(s):  
Joao Gabriel da Silveira-Rodrigues ◽  
Camila Cristina Melo ◽  
Rubio Sabino Bruzzi ◽  
Andre Gustavo Pereira de Andrade
Keyword(s):  
Skinfold Thickness ◽  
Body Circumferences

Anthropometry and Strength Characteristics of Low Coal Miners with Respect to Sex and Age

1980 ◽  
Vol 24 (1) ◽  
pp. 434-437
Author(s):  
S.J. Morrissey ◽  
C.L. Burford ◽  
K. Caddel ◽  
M.M. Ayoub
Keyword(s):  
United States ◽  
Reference Population ◽  
The United States ◽  
Isometric Strength ◽  
Coal Miners ◽  
Anthropometric Measures ◽  
Male And Female ◽  
Strength Data ◽  
Lower Back ◽  
Body Circumferences

A battery of general anthropometric measures and selected isometric strength measures have been made on a sample of male and female low coal miners in the United States (low coal refers to coal mines in which the coal seam and, thus, tunnel heights are less than 48 inches). In comparison to selected military and civilian anthropometric surveys, both the male and female low coal miners showed significantly greater body circumferences on similar measures. Analysis of the isometric strength data showed both the male and female low coal miners to have significantly lower back strengths than a reference industrial population. Male miners had significantly greater standing leg strengths than the reference population. These differences can be attributed to the occupational and postural demands present in low coal mining.

Effects of Chromium Picolinate on Beginning Weight Training Students

1992 ◽  
Vol 2 (4) ◽  
pp. 343-350 ◽  
Author(s):  
Deborah L. Hasten ◽  
E. Paul Rome ◽  
B. Don Franks ◽  
Maren Hegsted
Keyword(s):  
Bench Press ◽  
Weight Lifting ◽  
The Other ◽  
Chromium Picolinate ◽  
Double Blind ◽  
Significant Treatment ◽  
College Age ◽  
The One ◽  
Body Circumferences ◽  
Three Body

Changes in body weight (BW), a sum of three body circumferences (ΣC), a sum of three skinfolds (ΣSF), and the one-repetition maximum (IRM) for the squat (SQ) and bench press (BP) were examined in 59 college-age students (37 males [MI, 22 females [F]) over a 12-week weight lifting program. Using a double-blind protocol, half of the students were given 200 μg/day chromium (Cr) in the form of chromium picolinate (CrPic) while the other half received a placebo (P). Therefore four groups were randomly formed: F-CrPic (n=12), F-P (n=10), M-CrPic (n=18), and M-P (n=19). All groups had significant increases in ΣC and significant decreases in ΣSF. No treatment effects were seen for the strength measurements, although the males experienced greater absolute increases. The only significant treatment effect found was due to the F-CrPic group gaining more BW (p=0.0048) than the other three groups. It was concluded that CrPic supplementation had a greater effect on the females than on the males.

scholarly journals Generalized equations for predicting body density of men

1978 ◽  
Vol 40 (3) ◽  
pp. 497-504 ◽  
Author(s):  
A. S. Jackson ◽  
M. L. Pollock
Keyword(s):  
Multiple Regression ◽  
Skinfold Thickness ◽  
Standard Errors ◽  
Regression Equations ◽  
Generalized Equations ◽  
Body Density ◽  
Adult Men ◽  
Body Circumferences

1. Skinfold thickness, body circumferences and body density were measured in samples of 308 and ninety-five adult men ranging in age from 18 to 61 years.2. Using the sample of 308 men, multiple regression equations were calculated to estimate body density using either the quadratic or log form of the sum of skinfolds, in combination with age, waist and forearm circumference.3. The multiple correlations for the equations exceeded 0.90 with standard errors of approximately ±0.0073 g/ml.4. The regression equations were cross validated on the second sample of ninety-five men. The correlations between predicted and laboratory-determined body density exceeded 0.90 with standard errors of approximately 0.0077 g/ml.5. The regression equations were shown to be valid for adult men varying in age and fatness.

Artificial Neural Network to Predict Patient Body Circumferences and Ligament Thicknesses

2013 ◽  
Author(s):  
Neil Vaughan ◽  
Venketesh N. Dubey ◽  
Michael Y. K. Wee ◽  
Richard Isaacs
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Patient Specific ◽  
Feed Forward Neural Network ◽  
Training Experience ◽  
Thigh Circumference ◽  
Data Set ◽  
Artificial Neural ◽  
Body Circumferences ◽  
Space Data

An artificial neural network has been implemented and trained with clinical data from 23088 patients. The aim was to predict a patient’s body circumferences and ligament thickness from patient data. A fully connected feed-forward neural network is used, containing no loops and one hidden layer and the learning mechanism is back-propagation of error. Neural network inputs were mass, height, age and gender. There are eight hidden neurons and one output. The network can generate estimates for waist, arm, calf and thigh circumferences and thickness of skin, fat, Supraspinous and interspinous ligaments, ligamentum flavum and epidural space. Data was divided into a training set of 11000 patients and an unseen test data set of 12088 patients. Twenty five training cycles were completed. After each training cycle neuron outputs advanced closer to the clinically measured data. Waist circumference was predicted within 3.92cm (3.10% error), thigh circumference 2.00cm, (2.81% error), arm circumference 1.21cm (2.48% error), calf circumference 1.41cm, (3.40% error), triceps skinfold 3.43mm, (7.80% error), subscapular skinfold 3.54mm, (8.46% error) and BMI was estimated within 0.46 (0.69% error). The neural network has been extended to predict ligament thicknesses using data from MRI. These predictions will then be used to configure a simulator to offer a patient-specific training experience.

Body circumferences as measures of body fat distribution in 10-14-year-old schoolchildren

1990 ◽  
Vol 2 (2) ◽  
pp. 117-124 ◽  
Author(s):  
William H. Mueller ◽  
Anne Marbella ◽  
Ronald B. Harrist ◽  
Haley Jo Kaplowitz ◽  
Jo Anne Grunbaum ◽  
...  
Keyword(s):  
Body Fat ◽  
Fat Distribution ◽  
Body Fat Distribution ◽  
Body Circumferences

scholarly journals Caucasian children's fat mass: routine anthropometry v. air-displacement plethysmography

2012 ◽  
Vol 109 (8) ◽  
pp. 1528-1537 ◽  
Author(s):  
Nathalie Michels ◽  
Inge Huybrechts ◽  
Karin Bammann ◽  
Lauren Lissner ◽  
Luis Moreno ◽  
...  
Keyword(s):  
Fat Mass ◽  
Bioelectrical Impedance ◽  
Skinfold Thickness ◽  
Anthropometric Measurements ◽  
Mass Percentage ◽  
Air Displacement Plethysmography ◽  
Bod Pod ◽  
Body Circumferences ◽  
Subscapular Skinfold Thickness ◽  
Age And Sex

The present paper will use fat mass percentage (FM%) obtained via BOD POD® air-displacement plethysmography (FMADP%) to examine the relative validity of (1) anthropometric measurements/indices and (2) of FM% assessed with equations (FMeq%) based on skinfold thickness and bioelectrical impedance (BIA). In 480 Belgian children (aged 5–11 years) weight, height, skinfold thickness (triceps and subscapular), body circumferences (mid-upper arm, waist and hip), foot-to-foot BIA (Tanita®) and FMADP% were measured. Anthropometric measurements and calculated indices were compared with FMADP%. Next, published equations were used to calculate FMeq% using impedance (equations of Tanita®, Tyrrell, Shaefer and Deurenberg) or skinfold thickness (equations of Slaughter, Goran, Dezenberg and Deurenberg). Both indices and equations performed better in girls than in boys. For both sexes, the sum of skinfold thicknesses resulted in the highest correlation with FMADP%, followed by triceps skinfold, arm fat area and subscapular skinfold. In general, comparing FMeq% with FMADP% indicated mostly an age and sex effect, and an increasing underestimation but less dispersion with increasing FM%. The Tanita® impedance equation and the Deurenberg skinfold equation performed the best, although none of the used equations were interchangeable with FMADP%. In conclusion, the sum of triceps and subscapular skinfold thickness is recommended as marker of FM% in the absence of specialised technologies. Nevertheless, the higher workload, cost and survey management of an immobile device like the BOD POD® remains justified.

Sign in / Sign up

Export Citation Format

Share Document