Predicting percentage body fat through waist-to-height ratio (WtHR) in Spanish schoolchildren

Marrodán,; Álvarez, JR Martínez; Espinosa, Marisa González Montero de; Carmenate, MM; López‐Ejeda, Noemí; Cabañas,; Pacheco, JL; Mesa, María Dolores; Collazos, Juan Francisco Romero; Martínez, Consuelo Prado; Villarino, Antonio

doi:10.1017/s1368980013000888

Cited by 22 publications

(22 citation statements)

References 30 publications

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“…WHtR showed a high degree of concordance with percent body fat (calculated from measurements of skin fold thickness) in 6- to 14-year-old Spanish children24). The WHtR showed better results than WC and BMI (64% vs. 31% and 32%) for predicting percent body fat, measured by dual energy X-ray absorptiometry, in US children and adolescents aged 8–18 years25).…”

Section: Correlation Between Whtr and Other Adiposity Indicesmentioning

confidence: 84%

Waist-to-height ratio as a screening tool for obesity and cardiometabolic risk

2016

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The waist-to-height ratio (WHtR), calculated by dividing the waist circumference (WC) by height, has recently gained attention as an anthropometric index for central adiposity. It is an easy-to-use and less age-dependent index to identify individuals with increased cardiometabolic risk. A WHtR cutoff of 0.5 can be used in different sex and ethnic groups and is generally accepted as a universal cutoff for central obesity in children (aged ≥6 years) and adults. However, the WHtR has not been validated in preschool children, and the routine use of WHtR in children under age 6 is not recommended. Prospective studies and meta-analysis in adults revealed that the WHtR is equivalent to or slightly better than WC and superior to body mass index (BMI) in predicting higher cardiometabolic risk. In children and adolescents, studies have shown that the WHtR is similar to both BMI and WC in identifying those at an increased cardiometabolic risk. Additional use of WHtR with BMI or WC may be helpful because WHtR considers both height and central obesity. WHtR may be preferred because of its simplicity and because it does not require sex- and age-dependent cutoffs; additionally, the simple message 'keep your WC to less than half your height' may be particularly useful. This review article summarizes recent publications on the usefulness of using WHtR especially when compared to BMI and WC as a screening tool for obesity and related cardiometabolic risks, and recommends the use of WHtR in clinical practice for obesity screening in children and adolescents.

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Section: Correlation Between Whtr and Other Adiposity Indicesmentioning

confidence: 84%

Waist-to-height ratio as a screening tool for obesity and cardiometabolic risk

2016

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“…Marrodán y cols. (27) realizaron un estudio transversal en 1.158 niñas y 1.161 niños de edades comprendidas entre 6 y 14 años, mostrando que la relación cintura/estatura dependía del estado nutricional de los sujetos, planteando un modelo de regresión en donde el porcentaje de grasa corporal para varones se podría calcular con la fórmula 106.50 × relación cintura/estatura -28,36 y en mujeres 89,73 × relación cintura/estatura -15,40. Por todo lo expuesto anteriormente, resulta fundamental la prevención del desarrollo de efectos adversos metabólicos, inculcando a los sujetos y a sus familiares unos hábitos de alimentación adecuados para cada etapa de la vida, y lo que es más importante, estimularles para la realización de práctica de ejercicio físico de forma regular desde el momento en que se observe una elevación del IMC y/ PA para evitar el desarrollo posterior de enfermedades de tipo cardiovascular.…”

Section: Discussionunclassified

Valores de normalidad de índice de masa corporal y perímetro abdominal en población española desde el nacimiento a los 28 años de edad

Muñoz

Úbeda

Caballero³

et al. 2016

Nutr Hosp

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Results: Evolutionary BMI and WC data are presented during childhood, emphasizing how values increase between 18 and 28 years old in the upper percentiles to p50, especially in women. There is a positive correlation with regards to WC between the value obtained at 3 years old and the value of 18 and 28 years old in both men (r = 0.722 and r = 0.605, p = 0.000, respectively) and women (r = 0.922, r = 0.857, p = 0.000, respectively). And between 18 and 28 years old (r = 0.731, p = 0.000 for men and r = 0.961, p = 0.000 for women). Conclusion: WC and BMI percentiles are presented for age and sex and they can be used as a reference tool to identify people at risk of developing cardiovascular disease or diabetes.

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“…Statistical significance was considered when p < 0.05. The equations that were used in the comparison were Slaughter et al , Goran et al , Dezenberg et al and Marrodán et al , because their parameters are included in those used in this study.…”

Section: Methodsmentioning

confidence: 99%

Anthropometric predictors of body fat in a large population of 9‐year‐old school‐aged children

Almeida

Furtado

Mascarenhas

et al. 2016

Obesity Science & Practice

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SummaryObjectiveTo develop and cross‐validate predictive models for percentage body fat (%BF) from anthropometric measurements [including BMI z‐score (zBMI) and calf circumference (CC)] excluding skinfold thickness.MethodsA descriptive study was carried out in 3,084 pre‐pubertal children. Regression models and neural network were developed with %BF measured by Bioelectrical Impedance Analysis (BIA) as the dependent variables and age, sex and anthropometric measurements as independent predictors.ResultsAll %BF grade predictive models presented a good global accuracy (≥91.3%) for obesity discrimination. Both overfat/obese and obese prediction models presented respectively good sensitivity (78.6% and 71.0%), specificity (98.0% and 99.2%) and reliability for positive or negative test results (≥82% and ≥96%). For boys, the order of parameters, by relative weight in the predictive model, was zBMI, height, waist‐circumference‐to‐height‐ratio (WHtR) squared variable (_Q), age, weight, CC_Q and hip circumference (HC)_Q (adjusted r 2 = 0.847 and RMSE = 2.852); for girls it was zBMI, WHtR_Q, height, age, HC_Q and CC_Q (adjusted r 2 = 0.872 and RMSE = 2.171).Conclusion%BF can be graded and predicted with relative accuracy from anthropometric measurements excluding skinfold thickness. Fitness and cross‐validation results showed that our multivariable regression model performed better in this population than did some previously published models.

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Predicting percentage body fat through waist-to-height ratio (WtHR) in Spanish schoolchildren

Cited by 22 publications

References 30 publications

Waist-to-height ratio as a screening tool for obesity and cardiometabolic risk

Waist-to-height ratio as a screening tool for obesity and cardiometabolic risk

Valores de normalidad de índice de masa corporal y perímetro abdominal en población española desde el nacimiento a los 28 años de edad

Anthropometric predictors of body fat in a large population of 9‐year‐old school‐aged children

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