Comparison of anthropometric-based equations for estimation of body fat percentage in a normal-weight and overweight female cohort: validation via air-displacement plethysmography

Temple, Derry; Denis, Romain; Walsh, Marianne C.; Byrne, Annette T.

doi:10.1017/s1368980014000597

Cited by 8 publications

(11 citation statements)

References 25 publications

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“…To increase the robustness of the outcomes of our systematic review, we excluded articles where body composition was estimated by skinfold measurements and equations. The accuracy of skinfold measurements depends on the number of measurement sites and the formula used to calculate the percentage of body fat [ 33 ]. Since there are many different techniques [ 79 ], it is impossible to compare results accurately between studies.…”

Section: Discussionmentioning

confidence: 99%

“…According to a recent methodology review performed by Nana et al, only few of the studies, where body composition of athletes was measured with dual X-ray absorptiometry (DXA), provided details about their subject and device standardization [ 30 ]. However, other methods like skinfold measurements require highly experienced investigators [ 32 ] and strongly depend on the number of measurement sites and the formula used to calculate the percentage of body fat [ 33 ]. Therefore, it is important to report standardization protocols in order to evaluate the quality of data assessment.…”

Section: Introductionmentioning

confidence: 99%

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Total Energy Expenditure, Energy Intake, and Body Composition in Endurance Athletes Across the Training Season: A Systematic Review

et al. 2017

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BackgroundEndurance athletes perform periodized training in order to prepare for main competitions and maximize performance. However, the coupling between alterations of total energy expenditure (TEE), energy intake, and body composition during different seasonal training phases is unclear. So far, no systematic review has assessed fluctuations in TEE, energy intake, and/or body composition in endurance athletes across the training season.The purpose of this study was to (1) systematically analyze TEE, energy intake, and body composition in highly trained athletes of various endurance disciplines and of both sexes and (2) analyze fluctuations in these parameters across the training season.MethodsAn electronic database search was conducted on the SPORTDiscus and MEDLINE (January 1990–31 January 2015) databases using a combination of relevant keywords.Two independent reviewers identified potentially relevant studies. Where a consensus was not reached, a third reviewer was consulted. Original research articles that examined TEE, energy intake, and/or body composition in 18–40-year-old endurance athletes and reported the seasonal training phases of data assessment were included in the review. Articles were excluded if body composition was assessed by skinfold measurements, TEE was assessed by questionnaires, or data could not be split between the sexes.Two reviewers assessed the quality of studies independently. Data on subject characteristics, TEE, energy intake, and/or body composition were extracted from the included studies. Subjects were categorized according to their sex and endurance discipline and each study allocated a weight within categories based on the number of subjects assessed. Extracted data were used to calculate weighted means and standard deviations for parameters of TEE, energy intake, and/or body composition.ResultsFrom 3589 citations, 321 articles were identified as potentially relevant, with 82 meeting all of the inclusion criteria. TEE of endurance athletes was significantly higher during the competition phase than during the preparation phase (p < 0.001) and significantly higher than energy intake in both phases (p < 0.001). During the competition phase, both body mass and fat-free mass were significantly higher compared to other seasonal training phases (p < 0.05).ConclusionsLimitations of the present study included insufficient data being available for all seasonal training phases and thus low explanatory power of single parameters. Additionally, the classification of the different seasonal training phases has to be discussed.Male and female endurance athletes show important training seasonal fluctuations in TEE, energy intake, and body composition. Therefore, dietary intake recommendations should take into consideration other factors including the actual training load, TEE, and body composition goals of the athlete.Electronic supplementary materialThe online version of this article (doi:10.1186/s40798-017-0076-1) contains supplementary material, which is available to authorized users.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Total Energy Expenditure, Energy Intake, and Body Composition in Endurance Athletes Across the Training Season: A Systematic Review

et al. 2017

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“…Thus, periodic assessments of percentage body fat (BF%) may provide valuable information to monitor public health that is quick, low cost, non-invasive and accurate. Many assessment methods can be used to determine BF%, such as the underwater weighing method [ 3 ], air-displacement plethysmography and dual energy X-ray absorptiometry (DXA) [ 4 , 5 ]. However, the application of these methods is limited by their cost and complexity.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Standing Posture Bioelectrical Impedance Analysis with DXA for Body Composition in a Large, Healthy Chinese Population

Chen

Wang

et al. 2016

PLoS ONE

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Bioelectrical impedance analysis (BIA) is a common method for assessing body composition in research and clinical trials. BIA is convenient but when compared with other reference methods, the results have been inconclusive. The level of obesity degree in subjects is considered to be an important factor affecting the accuracy of the measurements. A total of 711 participants were recruited in Taiwan and were sub-grouped by gender and levels of adiposity. Regression analysis and Bland-Altman analysis were used to evaluate the agreement of the measured body fat percentage (BF%) between BIA and DXA. The BF% measured by the DXA and BIA methods (Tanita BC-418) were expressed as BF%DXA and BF%BIA8, respectively. A one-way ANOVA was used to test the differences in BF% measurements by gender and levels of adiposity. The estimated BF%BIA8 and BF%DXA in the all subjects, male and female groups were all highly correlated (r = 0.934, 0.901, 0.916, all P< 0.001). The average estimated BF%BIA8 (22.54 ± 9.48%) was significantly lower than the average BF%DXA (26.26 ± 11.18%). The BF%BIA8 was overestimated in the male subgroup (BF%DXA< 15%), compared to BF%DXA by 0.45%, respectively. In the other subgroups, the BF%BIA8 values were all underestimated. Standing BIA estimating body fat percentage in Chinese participants have a high correlation, but underestimated on normal and high obesity degree in both male and female subjects.

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“…Body fat percentage was taken according to the International Society for the Advancement of Kinanthropometry (ISAK) standards using a Harpenden skinfold caliper (Baty International, United Kingdom). Body fat percentage was calculated using the equation of Jackson, Pollock, and Ward (26,28).…”

Section: Methodsmentioning

confidence: 99%

Combined Aerobic and Resistance Training Lowers Body Fat Percentage in Rural Black South African Women

et al. 2021

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Background: Obesity is currently one of the most dominating diseases affecting younger adults in South Africa. This is commonly caused by a poor lifestyle, which may lead to an increased risk of non-communicable diseases. Objectives: The aim of the study was to examine if a six-week concurrent resistance and aerobic training program could elicit body composition and cardiorespiratory changes in rural black college women. Methods: Forty sedentary black females (aged 18 - 25 years) were randomly assigned to a combined resistance and aerobic training (COM) group (n = 20) or a control group (n = 20). The COM group participated in four times weekly aerobic and resistance training. Aerobic training consisted of 30 minutes a session (week 1 - 3: cycling for 3 minutes at 60% heart rate reserve (HRR), followed by 2 minutes at 50% HRR; week 4 - 6: 3 minutes at 70% HRR, followed by 2 minutes at 60% HRR). Resistance training consisted of participants training at 50% of their one-repetition maximum (1-RM) for week 1 - 3, doing 3 sets of 15 repetitions; for week 4 - 6 at 60% 1-RM, doing 3 sets of 15 repetitions. Results: Following the intervention, the COM group significantly (P ≤ 0.05) decreased their body fat percentage when compared to the control group (P = 0.006; d = 0.9), while no significant changes were observed in waist-to-hip ratio (P = 0.223) and cardiorespiratory endurance (P = 0.260) in either group. Conclusions: Although body composition (especially waist circumference and body fat percentage) and cardiorespiratory fitness are recommended as the main targets of physical activity programs aimed at preventing CVD in college students, this study demonstrated that a six-week concurrent program improved body fat percentage, and not WHR and cardiorespiratory fitness, in sedentary rural college-aged females. Further, these findings suggest that one method of program design does not fit all populations and that exercise prescription should be targeted and not generalized.

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Comparison of anthropometric-based equations for estimation of body fat percentage in a normal-weight and overweight female cohort: validation via air-displacement plethysmography

Cited by 8 publications

References 25 publications

Total Energy Expenditure, Energy Intake, and Body Composition in Endurance Athletes Across the Training Season: A Systematic Review

Total Energy Expenditure, Energy Intake, and Body Composition in Endurance Athletes Across the Training Season: A Systematic Review

Comparison of Standing Posture Bioelectrical Impedance Analysis with DXA for Body Composition in a Large, Healthy Chinese Population

Combined Aerobic and Resistance Training Lowers Body Fat Percentage in Rural Black South African Women

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