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.

scholarly journals The assessment of the amount of fat in the human body from measurements of skinfold thickness

1967 ◽  
Vol 21 (3) ◽  
pp. 681-689 ◽  
Author(s):  
J. V. G. A. Durnin ◽  
M. M. Rahaman
Keyword(s):  
Body Weight ◽  
Correlation Coefficients ◽  
Skinfold Thickness ◽  
The Body ◽  
Regression Equations ◽  
Body Density ◽  
Men And Women ◽  
Skin Fold Thickness ◽  
Adult Men ◽  
Skin Fold

1. Skinfold thickness and body density were measured on 105 young adult men and women and 86 adolescent boys and girls.2. The correlation coefficients between the skinfold thicknesses, either single or multiple, and density were in the region of −0.80.3. Regression equations were calculated to predict body fat from skinfolds with an error of about ±3.5%.4. A table gives the percentage of the body-weight as fat from the measurement of skin-fold thickness.

scholarly journals Prediction of body density from skinfold measurements in lactating women

1985 ◽  
Vol 53 (3) ◽  
pp. 485-489 ◽  
Author(s):  
Nancy F. Butte ◽  
Cathy Wills ◽  
E. O'Brian Smith ◽  
Cutberto Garza
Keyword(s):  
Skinfold Thickness ◽  
Regression Equations ◽  
Body Density ◽  
Lactating Women ◽  
Skinfold Measurements ◽  
Thickness Measurements

1. Regression equations predicting body density from skinfold measurements were derived for a group of lactating women.2. It was concluded that specific equations for lactation were not necessary, since the resultant equations were not significantly different from those published for non-lactating women.3. The ability to predict an individual's body density from skinfold thickness measurements was unsatisfactory for either clinical or research applications.

Prediction of body density in young and middle-aged men

1976 ◽  
Vol 40 (3) ◽  
pp. 300-304 ◽  
Author(s):  
M. L. Pollock ◽  
T. Hickman ◽  
Z. Kendrick ◽  
A. Jackson ◽  
A. C. Linnerud ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Principal Components ◽  
Young Men ◽  
Regression Equations ◽  
Generalized Equations ◽  
Body Density ◽  
Middle Aged ◽  
Independent Variables ◽  
Components Analysis ◽  
Aged Subjects

The purpose of this investigation was to predict body density of young (18–22 yr) and middle-aged (40–55 yr) men and to determine if generalized equations were appropriate to both populations. The dependent variable, body density, was determined by the hydrostatic technique. Independent variables included 7 skinfold fat, 11 girth, and 7 diameter measures; age; height; and weight. Mean body density for young men was 1.068 g/ml (SD +/- 0.014) and percent fat, 13.4 (SD +/- 6.0); the values for middle-aged subjects were 1.043 g/ml (SD +/- 0.0130) and 24.7% (SD +/- 5.9). Incomplete principal components analysis was used to examine the dimensions measured by the independent variables, and these analyses revealed differences between samples. Using multiple regression analysis, with the exception of girth measurements, the slopes of the regression lines were equal. For all analyses, however, the intercepts were different. These results confirmed the need for different regression equations for these populations. The most accurate prediction for young men was with two skinfold, four girth, and two diameter measures (R = 0.88; SE = 0.0069 g/ml); two skinfold and three girth measures accurately predicted body density for middle-aged men (R = 0.84; SE = 0.0074 g/ml).

PP183-SUN: Prediction of Body Density from Skinfold Thickness for the Estimation of Body Fat in 6–10 Years Old Caucasian Children

2014 ◽  
Vol 33 ◽  
pp. S88
Author(s):  
M. Cazzulani ◽  
V. Giustizieri ◽  
D. Osio ◽  
A. Leone ◽  
A. Battezzati ◽  
...  
Keyword(s):  
Body Fat ◽  
Skinfold Thickness ◽  
Body Density

Estimation de la production de jeunes plantations de pin rouge et de pin gris du sud du Québec

1976 ◽  
Vol 6 (4) ◽  
pp. 478-486 ◽  
Author(s):  
H. A. Bolghari
Keyword(s):  
Multiple Regression ◽  
Jack Pine ◽  
Red Pine ◽  
Pine Plantations ◽  
Regression Equations ◽  
Pine Plantation ◽  
South Shore ◽  
Pine Stands ◽  
Natural Stands ◽  
St Lawrence River

Multiple regression equations have been developed to predict yield from young red pine and jack pine plantations. Data from 446 sample plots representing young red pine and jack pine stands located on the south shore of the St. Lawrence River between Quebec and Montreal were analysed. The red pine plantation yielded more than the jack pine. However, in plantation both species yield more than in natural stands. Taking into account the age and spacing of the sampled plantations, the equation obtained can provide information on yield of red pine and jack pine stands the maximum spacing of which is 3 × 3 m, up to the age of 45 and 35 years respectively. The equations will allow the construction of preliminary yield tables for both species.

Predicting Adolescent Blood Pressure: Implications for Health Education Practice

1988 ◽  
Vol 9 (3) ◽  
pp. 187-208
Author(s):  
Matthew Adeyanju
Keyword(s):  
Blood Pressure ◽  
Socioeconomic Status ◽  
Health Education ◽  
Multiple Regression ◽  
Alcohol Intake ◽  
Ideal Body Weight ◽  
Skinfold Thickness ◽  
Stepwise Multiple Regression ◽  
Baseline Survey ◽  
Education Practice

The study was set up to potentially determine if a stepwise multiple regression model composed of such factors as sociodemographics, attitudes, and behaviors in combination with selected biomedical measures can be used to predict adolescent at risk health conditions such as hypertension and to examine the implications for health education practice. The study population consisted of 650 ninth grade (14–16-year-old) students in the baseline survey (1981) and 606 twelfth grade students in the final survey of 1985. Data collected included clinical measures of height, weight, triceps skinfold thickness, blood pressure, body mass index (BMI), resting pulse, and percent ideal body weight (PIBW). Self-reported health behaviors, attitudes, and sociodemographic variables were also assessed. Principal factor analysis with varimax rotation was employed to determine the grouping of the behavioral/attitudinal test items. Stepwise multiple regression analysis was used to determine the variables' potentials as predictors of blood pressure in adolescents. Significant potential predictors of male diastolic blood pressure included smoking, alcohol intake habits, obesity, pulse, race, age and parents' socioeconomic status; while predictors for the females focused on smoking, alcohol intake habits, stress, obesity, pulse and race. Potential indicators for male systolic blood pressure were smoking, alcohol habits, weight, height, race, parent's socioeconomic status; while smoking, alcohol habits, stress, obesity, pulse and race for the females. Community health promotion, prevention and educational programs directed at these potential predictors need to be implemented to encourage healthful lifestyles in the younger generation.

FAT THICKNESS MEASURED WITH THREE ULTRASONIC INSTRUMENTS ON LIVE RAM LAMBS AS PREDICTORS OF CUTABILITY

1980 ◽  
Vol 60 (4) ◽  
pp. 857-867 ◽  
Author(s):  
ANDRÉ FORTIN
Keyword(s):  
Multiple Regression ◽  
Live Weight ◽  
Optimal Location ◽  
Regression Equations ◽  
Longissimus Muscle ◽  
Fat Thickness ◽  
Ram Lambs

Fat thickness at four locations over the longissimus muscle was measured ultrasonically on 33 live ram lambs ranging in live weight from 16.0 to 37.0 kg. Simple and multiple regression equations were developed to assess the effectiveness of fat thickness as measured by three different ultrasonic instruments (Krautkrämer USM #2, Scanoprobe Model 731A and Scanogram Model 722) to predict cutability. Weight of trimmed or boneless cuts (shoulder + loin + rack + leg) was predicted with more precision than percentage of cuts. Fat thickness alone or combined with weight at scanning was of no significant value (P > 0.05) in the prediction of percentage of trimmed cuts. Percentage of boneless cuts was predicted more efficiently from weight at scanning alone than from fat thickness alone or combined with weight at scanning. Weight of cuts (trimmed or boneless) was also estimated from the fat measurement (P < 0.01), the weight at scanning (P < 0.01) or a combination of both variables. For the latter, fat thickness did not contribute significantly (P > 0.05). The optimal location of the fat measurement depended on the ultrasonic instrument used. Fat thickness measured with the Krautkrämer was more efficient in its prediction of cutability than fat thickness measured with the Scanoprobe or Scanogram. However, over the range of liveweights studied, the usefulness of fat thickness measured on live ram lambs to predict cutability is questionable.

scholarly journals Erythrocyte Volume, Plasma Volume, and Lean Body Mass in Adult Men and Women

Blood ◽  
1969 ◽  
Vol 33 (5) ◽  
pp. 649-667 ◽  
Author(s):  
JOHN A. RETZLAFF ◽  
W. NEWLON TAUXE ◽  
JOSEPH M. KIELY ◽  
CHARLES F. STROEBEL
Keyword(s):  
Surface Area ◽  
Lean Body Mass ◽  
Body Mass ◽  
Plasma Volume ◽  
Normal Subjects ◽  
Skinfold Thickness ◽  
Regression Equations ◽  
Surface Area Ratio ◽  
Erythrocyte Volume ◽  
Normal Males

Abstract Erythrocyte volume, plasma volume, hematocrit, lean body mass (from total body water), skinfold thickness (at three sites), arm circumference, height, and weight were measured in 40 normal males, 38 normal females, and 12 obese females. From these data on the normal subjects, equations for estimating erythrocyte and plasma volumes were derived. Equations utilizing combined height-weight, surface area, height-weight-skinfold thickness, or lean body mass were found to be the most accurate for predicting erythrocyte and plasma volumes in normal and in obese subjects. The body:venous hematocrit ratio (BH:VH) and the variability of this ratio in our subjects were determined and discussed. Errors in indirect estimates of blood volumes based on this ratio are presented. Erythrocyte and plasma volume standards based on height-weight regression equations or surface area ratio equation are suggested for use in clinical laboratories. Tables and a nomogram based on these equations have been prepared and are available on request.

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
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