Validity of skinfold and girth assessment for predicting alterations in body composition.

Wilmore, Jack H.; Girandola, Robert N.; Moody, Dorothy L.

doi:10.1152/jappl.1970.29.3.313

Cited by 41 publications

(9 citation statements)

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“…The mean value of 15.4% body fat is substantially less than the 26.7% reported for non-athletic 16 year old high school females by Wilmore, Girandola and Moody (1970), and the 21.7% by Dill, Myhre, Greer, Richardson and Singleton (1972).…”

Section: Resultsmentioning

confidence: 66%

Physiological Profiles of High School Female Cross Country Runners

Butts

1982

Research Quarterly for Exercise and Sport

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Section: Resultsmentioning

confidence: 66%

Physiological Profiles of High School Female Cross Country Runners

Butts

1982

Research Quarterly for Exercise and Sport

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“…Hence, it was thought that lean body mass predicted here was sufficient to be analysed. In connection with this, the ethnic difference was suggested in which white young people have large LBM/Ht ratios (WILMORE et al 1970;PARIZKOVA 1976). Correlation coefficients between LBM/Ht ratio and percent body fat were calculated to be -0.144 for boys and 0.343 for girls.…”

Section: Resultsmentioning

confidence: 99%

Criteria of leanness in schoolboys and girls on the basis of allometry.

Takasaki

Nakakura

Anzai

1987

Journal of Anthropological Society of Nippon

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This study was made to establish criteria of leanness in schoolboys and girls by means of allometry ; leanness was defined as lower lean body mass to height. Anthropometric measurements were taken on approximately 8,700 children ages 6 to 17 years from elementary school, junior and senior high school in northern Kyushu. Percent body fat and lean body mass were estimated from height, body weight and skinfold thicknesses. Allometric equations of lean body mass (LBM) on height (Ht) were calculated for all age groups of both sexes, that is, LBM=2.47*10-5*Ht2.83 for boys and LBM=2.43*10-5*Ht2.82 for girls, respectively. There was a statistically significant sex difference between the two equations, although the relative growth coefficients were apparently similar to each other. Criteria of leanness were determined by the lines at intervals of two standard errors of estimate (2SEE) below the allometric equations, and the subject whose lean body mass was plotted below this line was regarded as lean. Based on the criteria obtained here, subjects combining both leanness and fatness were found.

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“…It has been repeatedly reported that skinfolds are not suitable to predict changes, when weight reduction takes place [19][20][21][22] . In addition, the accuracy of easy-to-use and lowcost fi eld devices to determine body composition changes is questioned [12,23] .…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Body Fat Changes during Weight Loss by Using Improved Anthropometric Predictive Equations

García

Wagner²,

Einig³

et al. 2006

Ann Nutr Metab

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Background/Aim: Skinfold-based equations are widely used to evaluate body fat (BF), but over-/underestimation is often reported. We evaluate the capacity of improved skinfold-based equations to estimate BF changes during weight reduction and compare them against well-established equations. Methods: Overweight adults (n = 44) participated in a 4-month weight reduction intervention. Dual-energy X-ray absorptiometry (DXA) and anthropometric measurements were taken at baseline and after intervention. The BF% was calculated using García, Peterson, and Durnin and Womersley (DW) equations. Results: Baseline and postintervention BF% measured by DXA correlated highest with BF% predicted according to García (r = 0.934 and r = 0.948, respectively), followed by Peterson (r = 0.941 and r = 0.932, respectively) and DW (r = 0.557 and r = 0.402, respectively); only a slight systematic error in overestimating the BF% was observed in estimates according to García (r = 0.147 and r = 0.104, respectively; p < 0.001), while increasing errors occurred using the Peterson (r = 0.624 and r = 0.712, respectively; p < 0.001) and DW (r = 0.767 and r = 0.769, respectively; p < 0.001) equations. Moderate correlations between BF changes (kg) measured by DXA and predicted by DW (r = 0.7211), Peterson (r = 0.697), and García (r = 0.645) were observed. Conclusion: Improved skinfold equations cannot accurately measure changes in BF after weight reduction.

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Validity of skinfold and girth assessment for predicting alterations in body composition.

Cited by 41 publications

References 0 publications

Physiological Profiles of High School Female Cross Country Runners

Physiological Profiles of High School Female Cross Country Runners

Criteria of leanness in schoolboys and girls on the basis of allometry.

Evaluation of Body Fat Changes during Weight Loss by Using Improved Anthropometric Predictive Equations

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