A Comparison of Field Methods to Assess Body Composition in a Diverse Group of Sedentary Women

2008 ◽  
Vol 10 (3) ◽  
pp. 274-283 ◽  
Author(s):  
Karen T. D'Alonzo ◽  
Ana Aluf ◽  
Linda Vincent ◽  
Kristin Cooper
Keyword(s):  
Body Composition ◽  
Menstrual Cycle ◽  
Body Fat ◽  
Bioelectrical Impedance ◽  
Skinfold Thickness ◽  
Upper Body ◽  
Field Methods ◽  
Laboratory Methods ◽  
Percentage Of Body Fat ◽  
Sedentary Women

Accurate assessment of body composition is essential in the evaluation of obesity. While laboratory methods are commonly used to assess fat mass, field measures (e.g., skinfold thickness [SKF] and bioelectrical impedance [BIA]) may be more practical for screening large numbers of individuals in intervention studies. In this study, a correlational design was used among 46 racially and ethnically diverse, sedentary women (mean age = 25.73 years) to (a) compare the percentage of body fat as determined by SKF and the upper body BIA and (b) examine the effects of body mass index (BMI), racial/ethnic background, age, and stage of the menstrual cycle on differences in the estimated percentage of body fat obtained using the SKF and BIA. Overall, a significant correlation between SKF and BIA (r = .98, p < .001) was found, with similar findings among Black, Hispanic and White non-Hispanic women. The mean differences between BIA and SKF were not significantly correlated with BMI, age, race/ethnicity or stage of the menstrual cycle. Data from this study suggest that BIA showed similar body fat prediction values compared with SKF and may be a viable alternative to SKF among diverse groups of healthy women. Additional testing and comparison of these field methods with the laboratory methods of hydrodensitometry or dual energy X-ray absorptiometry is recommended to further determine whether BIA devices can be routinely recommended as an alternative to the SKF.

scholarly journals Anthropometric Profile of Soccer Players as a Determinant of Position Specificity and Methodological Issues of Body Composition Estimation

2019 ◽  
Vol 16 (13) ◽  
pp. 2386 ◽  
Author(s):  
César Leão ◽  
Miguel Camões ◽  
Filipe Manuel Clemente ◽  
Pantelis Theo Nikolaidis ◽  
Ricardo Lima ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Age Groups ◽  
Skinfold Thickness ◽  
Soccer Players ◽  
Methodological Issues ◽  
Percentage Of Body Fat ◽  
Position Specificity ◽  
Range Of Variation ◽  
Anthropometric Profile

The aim of the present study was (a) to describe the anthropometric profile of a large group of soccer players based on different age groups and their playing positions on the field, and (b) to examine the variations of body composition among adult soccer players using diverse equations based on skinfold thickness. A total of 618 Greek soccer players who were grouped by age (i.e., 12–14, 14–16, 16–18, and 18–37 years) and playing position (i.e., goalkeeper, defender, midfielder, and forward) were evaluated for weight, height, and skinfolds. The Pařízková formula was used to estimate the percentage of body fat. Furthermore, for players who were 18 years or older the Reilly and Evans formulas was used to estimate the percentage of body fat. Independent of the age, in this large sample, goalkeepers presented higher values for weight, height and the percentage of body fat estimation as compared with other field positions. An anthropometric pattern was observed in each tactical position, namely, across a specific age of increasing maturation process (14–16 years). With the Pařízková formula, we found a mean (SD) range of variation in the percentage of body fat estimation between 4.87 ± 1.46 and 5.51 ± 1.46 as compared with the Evans formula. The same pattern of differences was found when the Reilly equation was considered. In conclusion, we observed a position specificity of anthropometric characteristics across different age categories. Additionally, the same data supported different validated equations which resulted in large differences in the final outcome estimations.

scholarly journals Prediction of fat-free mass and percentage of body fat in neonates using bioelectrical impedance analysis and anthropometric measures: validation against the PEA POD

2011 ◽  
Vol 107 (10) ◽  
pp. 1545-1552 ◽  
Author(s):  
Barbara E. Lingwood ◽  
Anne-Martine Storm van Leeuwen ◽  
Angela E. Carberry ◽  
Erin C. Fitzgerald ◽  
Leonie K. Callaway ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Fat Free Mass ◽  
Bioimpedance Analysis ◽  
Limits Of Agreement ◽  
Percentage Of Body Fat ◽  
Pea Pod

Accurate assessment of neonatal body composition is essential to studies investigating neonatal nutrition or developmental origins of obesity. Bioelectrical impedance analysis or bioimpedance analysis is inexpensive, non-invasive and portable, and is widely used in adults for the assessment of body composition. There are currently no prediction algorithms using bioimpedance analysis in neonates that have been directly validated against measurements of fat-free mass (FFM). The aim of the study was to evaluate the use of bioimpedance analysis for the estimation of FFM and percentage of body fat over the first 4 months of life in healthy infants born at term, and to compare these with estimations based on anthropometric measurements (weight and length) and with skinfolds. The present study was an observational study in seventy-seven infants. Body fat content of infants was assessed at birth, 6 weeks, 3 and 4·5 months of age by air displacement plethysmography, using the PEA POD body composition system. Bioimpedance analysis was performed at the same time and the data were used to develop and test prediction equations for FFM. The combination of weight+sex+length predicted FFM, with a bias of < 100 g and limits of agreement of 6–13 %. Before 3 months of age, bioimpedance analysis did not improve the prediction of FFM or body fat. At 3 and 4·5 months, the inclusion of impedance in prediction algorithms resulted in small improvements in prediction of FFM, reducing the bias to < 50 g and limits of agreement to < 9 %. Skinfold measurements performed poorly at all ages.

scholarly journals Body composition in female anorexia nervosa patients

1996 ◽  
Vol 76 (5) ◽  
pp. 639-647 ◽  
Author(s):  
M. Probst ◽  
M. Goris ◽  
W. Vandereycken ◽  
H. Van Coppenolle
Keyword(s):  
Body Composition ◽  
Anorexia Nervosa ◽  
Body Fat ◽  
Concurrent Validity ◽  
Skinfold Thickness ◽  
Fat Percentage ◽  
Percentage Of Body Fat ◽  
Duration Of Illness ◽  
The Mean ◽  
First Time

For the first time, body composition has been studied in a very large sample of female anorexia nervosa patients (n 200) using two methods: anthropometry (skinfold thickness) and densitometry (underwater weighing). The concurrent validity of both methods appeared to be good (r 0·84). Although the mean percentage of body fat (13·5) in our sample corresponds with most of the previous reports, the range (4·3–24·8) is great. Our study shows that BMI is not a good measure of fatness. Age and duration of illness were not related to body fat. Percentage fat was found to be different (t 2·76, P <0·01) according to the diagnostic subtype of anorexia nervosa: restricters (12·9) v. bingers and/or purgers (14·7).

scholarly journals Body Fat Assessment in International Elite Soccer Referees

2020 ◽  
Vol 5 (2) ◽  
pp. 38 ◽  
Author(s):  
Cristian Petri ◽  
Francesco Campa ◽  
Vitor Hugo Teixeira ◽  
Pascal Izzicupo ◽  
Giorgio Galanti ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Iliac Crest ◽  
Skinfold Thickness ◽  
Aerobic Performance ◽  
Specific Group ◽  
World Cup ◽  
X Ray ◽  
Percentage Of Body Fat ◽  
Skinfold Measurements

Soccer referees are a specific group in the sports population that are receiving increasing attention from sports scientists. A lower fat mass percentage (FM%) is a useful parameter to monitor fitness status and aerobic performance, while being able to evaluate it with a simple and quick field-based method can allow a regular assessment. The aim of this study was to provide a specific profile for referees based on morphological and body composition features while comparing the accuracy of different skinfold-based equations in estimating FM% in a cohort of soccer referees. Forty-three elite international soccer referees (age 38.8 ± 3.6 years), who participated in the 2018 Russian World Cup, underwent body composition assessments with skinfold thickness and dual-energy X-ray absorptiometry (DXA). Six equations used to derive FM% from skinfold thickness were compared with DXA measurements. The percentage of body fat estimated using DXA was 18.2 ± 4.1%, whereas skinfold-based FM% assessed from the six formulas ranged between 11.0% ± 1.7% to 15.6% ± 2.4%. Among the six equations considered, the Faulkner’s formula showed the highest correlation with FM% estimated by DXA (r = 0.77; R2 = 0.59 p < 0.001). Additionally, a new skinfold-based equation was developed: FM% = 8.386 + (0.478 × iliac crest skinfold) + (0.395 × abdominal skinfold, r = 0.78; R2 = 0.61; standard error of the estimate (SEE) = 2.62 %; p < 0.001). Due to these findings, national and international federations will now be able to perform regular body composition assessments using skinfold measurements.

Nutritional Assessment of Continuous Ambulatory Peritoneal Dialysis Patients by Bioelectrical Impedance

2003 ◽  
Vol 23 (2_suppl) ◽  
pp. 55-57 ◽  
Author(s):  
Vincent C. Chow ◽  
Chi-wai Lee ◽  
Eva H. Ho ◽  
Ching-kit Chan ◽  
Rose M. Yong ◽  
...  
Keyword(s):  
Body Composition ◽  
Peritoneal Dialysis ◽  
Continuous Ambulatory Peritoneal Dialysis ◽  
Body Fat ◽  
Bioelectrical Impedance ◽  
The Body ◽  
Anthropometric Measurements ◽  
Percentage Of Body Fat ◽  
Fat Composition ◽  
Highly Correlated

Objective The Dialysis Outcomes Quality Initiative (DOQI) guidelines suggest that anthropometric measurements are useful in assessment of nutrition. However, the technique is operator-dependent and time consuming. To estimate fat-free mass and fat mass, bioelectrical impedance analysis (BIA) measures the impedance of an electrical current passing through the body. Our aim in the present study was to validate the use of BIA in continuous ambulatory peritoneal dialysis (CAPD) patients. Design We recruited patients from the CAPD clinic. The biceps, triceps, subscapular, and suprailiac skinfold thickness were measured by Harpenden skinfold calipers (British Indicators, Burgess Hill, West Sussex, U.K.). Using a linear regression equation (Durin and Womersley) and the Siri equation, we calculated percentage body fat composition from the anthropometric measurements. For BIA assessment, fat composition was measured using the Body Composition Analyzer (TBF-300GS: Tanita Corporation of America, Arlington Heights, IL, U.S.A.). Results We recruited a total of 60 patients who had been on CAPD for 21.8 ± 23 months. The percentage of body fat in the study group as estimated by anthropometry was 27.5% ± 8.6% (range: 5.78% – 40.4%). By BIA, the percentage of body fat was 17.6% ± 8.9% (range: 2.4% – 42.3%). The results by the two methods were highly correlated ( r = 0.712, p < 0.001). By paired t-test, the mean difference in body fat composition using the two different methods was 9.9% ± 6.6% ( p < 0.001). Conclusions Measurement of body fat composition in CAPD patients by BIA and by anthropometry were highly correlated. The body fat composition measured by BIA was lower than that measured by anthropometry. The BIA method is simple and noninvasive. It may play a role in monitoring trend of body composition in CAPD patients in an outpatient setting.

Determination of body fat percentage by bioelectrical impedance analysis and dual-energy X-ray absorptiometry

2021 ◽  
pp. 30-34
Author(s):  
O. A. Nikitinskaya ◽  
N. V. Toroptsova
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Dual Energy ◽  
Repeated Measurements ◽  
The Body ◽  
X Ray ◽  
Percentage Of Body Fat

Obesity is a risk factor for many chronic diseases. Several research methods are used to determine the amount of body fat, including the «gold standard» dual-energy X-ray absorptiometry (DXA). The bioelectrical impedance analysis (BIA) method is an alternative for assessing body composition that does not require special conditions for placement and examination, but the accuracy of its results depends on the hydration of the body.Objective. To compare the results of determining the percentage of body fat using multi-frequency (MF) BIA and DXA.Material and methods. The study included 20 volunteers (11 women and 9 men) aged 26 to 70 years without serious metabolic, cardiovascular or endocrine diseases. Two repeated measurements were performed using the MF-BIA method on the MS FIT device and the DXA method on the Lunar Prodigy Advance device.Results. There were no significant differences in the average percentage of body fat in repeated measurements by MF-BIA and DXA methods, and the intra-group correlation coefficients (r2 ) were 0.999 and 0.997, respectively. A high and significant correlation in percentage of body fat was found between the MF-BIA and DXA (r = 0.973, p < 0.001). The average difference between the results of these two methods was 0.1243%. Differences in percentage of body fat that exceeded two or more standard deviations were detected less than in 5% cases, so the data on body fat content estimated using DXA and BIA are consistent and can be considered almost equal.Conclusion. Our study has shown that the MS FIT body composition device using the MF-BIA method can be an alternative to DXA for assessing the percentage of body fat without introducing additional formulas to recalculate the data obtained.

scholarly journals Wrist-wearable bioelectrical impedance analyzer with miniature electrodes for daily obesity management

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Myoung Hoon Jung ◽  
Kak Namkoong ◽  
Yeolho Lee ◽  
Young Jun Koh ◽  
Kunsun Eom ◽  
...  
Keyword(s):  
Contact Resistance ◽  
Body Fat ◽  
Bioelectrical Impedance ◽  
The Body ◽  
Upper Body ◽  
Sensor Technology ◽  
Clinical Test ◽  
Obesity Management ◽  
Impedance Analyzer ◽  
Bioelectrical Impedance Analyzer

AbstractBioelectrical impedance analysis (BIA) is used to analyze human body composition by applying a small alternating current through the body and measuring the impedance. The smaller the electrode of a BIA device, the larger the impedance measurement error due to the contact resistance between the electrode and human skin. Therefore, most commercial BIA devices utilize electrodes that are large enough (i.e., 4 × 1400 mm2) to counteract the contact resistance effect. We propose a novel method of compensating for contact resistance by performing 4-point and 2-point measurements alternately such that body impedance can be accurately estimated even with considerably smaller electrodes (outer electrodes: 68 mm2; inner electrodes: 128 mm2). Additionally, we report the use of a wrist-wearable BIA device with single-finger contact measurement and clinical test results from 203 participants at Seoul St. Mary’s Hospital. The correlation coefficient and standard error of estimate of percentage body fat were 0.899 and 3.76%, respectively, in comparison with dual-energy X-ray absorptiometry. This result exceeds the performance level of the commercial upper-body portable body fat analyzer (Omron HBF-306). With a measurement time of 7 s, this sensor technology is expected to provide a new possibility of a wearable bioelectrical impedance analyzer, toward obesity management.

scholarly journals Hydration status, body composition, and anxiety status in aeronautical military personnel from Spain: a cross-sectional study

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Alejandra Carretero-Krug ◽  
Natalia Úbeda ◽  
Carlos Velasco ◽  
Juan Medina-Font ◽  
Trinidad Trujillo Laguna ◽  
...  
Keyword(s):  
Body Composition ◽  
Water Balance ◽  
Body Fat ◽  
Water Intake ◽  
Military Personnel ◽  
Hydration Status ◽  
Total Water ◽  
Percentage Of Body Fat ◽  
Urine Color ◽  
Total Water Intake

Abstract Background An adequate hydration status is critical to ensure efficiency during mental and physical activities. Our goal was to assess the hydration status of a Spanish group of aeronautical military men and to determine the association of hydration status with body composition and anxiety. Methods A total of 188 men were evaluated through a validated hydration questionnaire, anthropometric and biochemical parameters, and an anxiety questionnaire. Based on these methods, the criteria of hydration were established. Results Of the total sample, 81% met the hydration criteria (urine color = well hydrated, water balance ≥ 0 ml, and total water intake/weight ≥ 35 ml/kg), and 19% did not meet the hydration criteria (urine color = not sufficiently hydrated or dehydrated, water balance < 0 ml, and total water intake/weight < 35 ml/kg). Subjects not meeting the hydration criteria had lower urine pH, negative water balance, and lower water intake. The latter also had higher anxiety status (score = 4 vs. 3, P = 0.026), weight [(84.7 ± 10.5) vs. (80.5 ± 10.2) kg], body mass index [(26.3 ± 3.1) vs. (25.2 ± 2.8)]kg/m2, body fat [(22.3 ± 5.6) vs. (18.3 ± 6.5)] %, urine specific gravity, and urine color. Using a logistic binary regression model, hydration status was related significantly with the percentage of body fat (P = 0.004), but no relation was found with age, comorbidities, or medications. Furthermore, total water intake/weight was positively correlated with percentage of body water (r = 0.357, P = 0.000) and negatively with body fat (kg) (r = − 0.427, P = 0.000), percentage of body fat (r = − 0.405, P = 0.000), and waist/hip ratio (r = − 0.223, P = 0.002). Based on a linear regression model, total water intake/weight was related significantly with percentage of body fat (P = 0.001) and percentage of body water content (P = 0.035). No relation was found, however, with waist/hip ratio, age, comorbidities, or medications. Conclusions These findings all suggest a relationship between hydration status and body composition but also set the bases for future studies that relate hydration status and anxiety status. These results can be used to improve the hydration status and body composition of military personnel.

scholarly journals Body mass index as a measure of body fatness: age- and sex-specific prediction formulas

1991 ◽  
Vol 65 (2) ◽  
pp. 105-114 ◽  
Author(s):  
Paul Deurenberg ◽  
Jan A. Weststrate ◽  
Jaap C. Seidell
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Prediction Error ◽  
Bioelectrical Impedance ◽  
Skinfold Thickness ◽  
Fat Percentage ◽  
Wide Range ◽  
The Relationship ◽  
Age And Sex

In 1229 subjects, 521 males and 708 females, with a wide range in body mass index (BMI; 13.9–40.9 kg/m2), and an age range of 7–83 years, body composition was determined by densitometry and anthropometry. The relationship between densitometrically-determined body fat percentage (BF%) and BMI, taking age and sex (males =1, females = 0) into account, was analysed. For children aged 15 years and younger, the relationship differed from that in adults, due to the height-related increase in BMI in children. In children the BF% could be predicted by the formula BF% = 1.51xBMI–0.70xage–3.6xsex+1.4 (R2 0.38, SE of estimate (see) 4.4% BF%). In adults the prediction formula was: BF% = 1.20xBMI+0.23xage−10.8xsex–5.4 (R2 0.79, see = 4.1% BF%). Internal and external cross-validation of the prediction formulas showed that they gave valid estimates of body fat in males and females at all ages. In obese subjects however, the prediction formulas slightly overestimated the BF%. The prediction error is comparable to the prediction error obtained with other methods of estimating BF%, such as skinfold thickness measurements or bioelectrical impedance.

Sign in / Sign up

Export Citation Format

Share Document