Utility of Waist-To-Height Ratio in Detecting Central Obesity and Related Adverse Cardiovascular Risk Profile Among Normal Weight Younger Adults (from the Bogalusa Heart Study)

Srinivasan, Sathanur R.; Ren, Wenhua; Chen, Wei; Wei, Christine; Xu, Jihua; Berenson, Gerald S.

doi:10.1016/j.amjcard.2009.04.037

Cited by 84 publications

(74 citation statements)

References 22 publications

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“…Hsieh et al pointed out that the relative amount of central fat may be more closely associated with metabolic risks than the absolute amount of central fat among a population with moderate BMI, and WC adjusted by height may better reflect the combined metabolic risks . Srinivasan et al (2009) also emphasized the utility of the WHtR in detecting metabolic risk factors among normal-weight younger adults. Public and clinical concerns in primary care settings about obesity-related health problems have focused on the obese population defined by the measure of BMI.…”

Section: Treatment Of High Blood Cholesterol In Adults 2001mentioning

confidence: 99%

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Association between Waist-to-Height Ratio and Metabolic Risk Factors in Korean Adults with Normal Body Mass Index and Waist Circumference

Park

Kim

2012

Tohoku J. Exp. Med.

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There is little consensus on the best obesity index associated with metabolic risk factors among the population with normal both body mass index (BMI) and waist circumference (WC). We therefore evaluated the association between anthropometric indices and metabolic risk factors in a Korean population with normal BMI and WC. This cross-sectional study involved 2,952 participants aged 20-79 years who had normal BMI and WC, based on the Fourth Korea National Health and Nutrition Examination Surveys conducted in 2008. The receiver operating characteristic (ROC) curves were generated to identify the optimal measurement of obesity for the prediction of metabolic risk factors in this population. The area under the ROC curve value for waist-to-height ratio (WHtR) in prediction of metabolic syndrome (MetS) and its components was higher than that for BMI and WC. Among individuals with normal BMI and WC, prevalence of all metabolic risk factors and MetS significantly increased across the quartiles of WHtR in both men and women. After adjustment for potential confounders, the Odds Ratios (95% confidence intervals) for MetS in the second, third, and fourth quartiles of WHtR compared to the first quartile of WHtR were 3.53 (2.12-5.89), 6.06 (3.52-10.43), and 7.11 (4.08-12.38) in men, and 1.66 (1.01-2.72), 2.79 (1.81-4.30), and 2.82 (1.76-4.52) in women, respectively. In conclusion, WHtR has the best predictive value for evaluating the metabolic risk factors compared to BMI or WC alone among subjects with normal BMI and WC.

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Section: Treatment Of High Blood Cholesterol In Adults 2001mentioning

confidence: 99%

“…WHtR has also been shown to identify metabolic risk among individuals deemed 'healthy' according to BMI or WC (Hsieh et al 2000;Srinivasan et al 2009;Li et al 2011). Because most Asians are not markedly obese, despite having metabolic risk factors, WHtR has an important role as a single index for identifying persons at metabolic risks.…”

mentioning

confidence: 99%

Association between Waist-to-Height Ratio and Metabolic Risk Factors in Korean Adults with Normal Body Mass Index and Waist Circumference

Park

Kim

2012

Tohoku J. Exp. Med.

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“…All these effects can lead to increased insulin resistance and diabetes and also to increased cardiometabolic risk [5]. Even normal weight people with central obesity show increased morbidity in relation to cardiometabolic risk than compared with normal weight people without central obesity [6][7][8]. Further, their mortality is also increased [9][10][11][12][13].…”

Section: Step1: Central Obesity Is Harmfulmentioning

confidence: 99%

How long is A Piece of String? Less than Half your Height. Five Steps from Science to Screening: A Mini Review

Ashwell¹

2017

AOWMC

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Central obesity is harmful in terms of cardiometabolic risk, but it can only be measured accurately with expensive equipment. The aim of this review is to summarise how the scientific evidence has accumulated to the extent that waist-to-height ratio (WHtR), which has been shown to be a simple proxy for central obesity, is starting to be adopted into public health policy and can now be used as a simple, early screening tool. A boundary value of WHtR 0.5 has been suggested as the first level of risk. This translates into the simple message "Keep your waist to less than half your height". However, to check if WHtR is less than 0.5 does not even need a tape measure. A piece of string will suffice. The string is used to measure the person's height and then it is folded in half to see whether it fits easily around the person's waist. If it does not, early health risk is indicated and further screening is indicated. Thus the string acts as a simple, cheap, signposting tool for early health risk. At long last we have the answer to that age old question: "How long is piece of string?" The answer is "Less than half a person's height if we want to improve public health through opportunistic screening."

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“…Diversos autores têm apontado para a importância da utilização circunferência da cintura na estimação, mesmo que indireta, de gordura visceral 38,66,82,87,90,123,128 .…”

Section: Discussionunclassified

“…Tendo em vista os resultados do presente estudo e de outros estudos realizados em etapas posteriores da vida, manter a circunferência da cintura em menos da metade da sua estatura diminui o risco associado ao excesso de peso, principalmente quando acompanhado de uma circunferência da cintura, indiretamente gordura visceral, aumentada 87,90,128 .…”

Section: Considerações Finaisunclassified

Estado nutricional, composição corporal e peso ao nascer de crianças de 2 a 6 anos de idade de creches públicas de Taubaté, SP

Machado¹

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DEDICATÓRIA Ao meu marido, Cláudiointernacionalmente aceitos. Para a avaliação da composição corporal utilizouse a área muscular do braço (AMB) e a área gorda do braço (AGB) em escores z e a razão CC para estatura (CC/E). As análises foram realizadas a partir dos parâmetros de tendência central, dispersão e proporções, adotando-se um nível de significância de 5%. Resultados -A média de peso ao nascer (PN) dos pré-escolares foi de 3150,1g com um desvio padrão (dp) de 487,7g e uma mediana de 3142,5g. As médias e os dp do escore z de estatura, peso e IMC a AMB (r P =0,52), a AGB (r P =0,66) e com a proporção da AGB (r P =0,54), p<0,0001. Já entre a razão CC/E e a proporção de AMB corrigida observou-se uma correlação inversa (r P = -0,38), p<0,0001. Conclusões -Quanto maior o peso ao nascer das crianças, maior o seu IMC na idade pré-escolar. A massa magra e a massa gorda corporal também são maiores na idade pré-escolar nas crianças com maior peso de nascimento. O importante é que nos pré-escolares com excesso de peso a massa magra é menor nos que nasceram com menor peso, sem que se observe diferença para a massa gorda corporal em função do peso ao nascer. Quanto maior a razão CC/E também será maior a quantidade de massa magra e de massa gorda corporal, contudo o aumento da razão CC/E é acompanhado por um aumento desproporcionalmente maior da massa gorda em comparação com o da magra.Descritores: criança pré-escolar, peso ao nascer, composição corporal, circunferência da cintura, sobrepeso, obesidade, indicadores de saúde. showed a direct correlation with BW (r P =0.16; p<0.0001). In the preschool sample as a whole, the higher the BW the higher the BMI (r P =0.19; p<0.0001). ABSTRACTThe median preschool children Z-score of BMI of the group born with more than 3500g was superior to the one observed in the group born with lower weight. By a multiple linear regression each increase of 1kg in the birth weight corresponds to an increase of 0,45 z scores in the BMI at preschool age. It was also observed a direct correlation between BW and the UMA (r P =0.13; p<0.0001) and the UFA (r P =0.10; p=0.003). The preschool children with excess of weight and that were born below the median of BW showed a lower UMA in comparison to those born with a weight above the median. There was no difference to the medians of UFA or WC according to birth weight. The WHtR showed a direct correlation with the BMI (r P =0.78), the UMA (r P =0.52), the UFA (r P =0.66) and the arm fat index (% fat area), r P =0.54, p<0.0001. On the other hand it was observed an inverse correlation between the WHtR and the proportion of the UMA corrected (% muscle area), r P = -0.38 and p<0.0001. Conclusions -The higher the children's birth weight, the higher their BMI in preschool age. The lean and the fat body masses are also higher in the preschool age in children with a higher birth weight. The most relevant things observed is that in preschool children with excess of weight the lean mass is lower in the ones who were born with a lower weight, and that there were...

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Utility of Waist-To-Height Ratio in Detecting Central Obesity and Related Adverse Cardiovascular Risk Profile Among Normal Weight Younger Adults (from the Bogalusa Heart Study)

Cited by 84 publications

References 22 publications

Association between Waist-to-Height Ratio and Metabolic Risk Factors in Korean Adults with Normal Body Mass Index and Waist Circumference

Association between Waist-to-Height Ratio and Metabolic Risk Factors in Korean Adults with Normal Body Mass Index and Waist Circumference

How long is A Piece of String? Less than Half your Height. Five Steps from Science to Screening: A Mini Review

Estado nutricional, composição corporal e peso ao nascer de crianças de 2 a 6 anos de idade de creches públicas de Taubaté, SP

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