2002
DOI: 10.1080/08035250216112
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Waist circumference for the screening of the metabolic syndrome in children

Abstract: Waist circumference seems to be the best predictor of children with the metabolic syndrome in paediatric clinical settings.

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Cited by 206 publications
(133 citation statements)
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“…The most strongly associated individual factor of the six was fasting insulin, followed by TG and HDL, with systolic more strongly associated than diastolic BP, and LDL cholesterol and blood glucose only weakly or insignificantly associateda hierarchy of individual associations similar to that noted previously. 38 WC showed a slightly stronger association than BMI with the lipid and insulin risk factors, supporting the growing use of WC in preference to BMI 39,40 and consistent with the fact that WC is a measure of central obesity which is specifically related to the presence of CV risk factors. 41,42 Weight/hip ratio and weight/height ratios, as previously used in adults 43,44 albeit controversially in children, 15,21,45,46 were shown to be less strongly associated with the CV risk factors.…”
Section: Discussionsupporting
confidence: 63%
See 1 more Smart Citation
“…The most strongly associated individual factor of the six was fasting insulin, followed by TG and HDL, with systolic more strongly associated than diastolic BP, and LDL cholesterol and blood glucose only weakly or insignificantly associateda hierarchy of individual associations similar to that noted previously. 38 WC showed a slightly stronger association than BMI with the lipid and insulin risk factors, supporting the growing use of WC in preference to BMI 39,40 and consistent with the fact that WC is a measure of central obesity which is specifically related to the presence of CV risk factors. 41,42 Weight/hip ratio and weight/height ratios, as previously used in adults 43,44 albeit controversially in children, 15,21,45,46 were shown to be less strongly associated with the CV risk factors.…”
Section: Discussionsupporting
confidence: 63%
“…In particular the representative 50th percentile for WC (which reflects waist size in the population) was higher in the USA national data collected from 1988 to 1994 29 than in these ethnic Chinese children in Hong Kong (Figure 3). Data relating WC to CV risk factors in different child populations are scant 15,34,38,39,47,48 and valid comparisons are limited by differences in methodology (non-random population sampling, different sites of WC measurement, selection and number of CV risk factors) and/ or failure to include more than one of the inter-related variables (WC percentiles, WC risk threshold percentiles and cutoff values) in the same study. The only methodologically comparable study to derive WC risk thresholds percentiles and gender-and age-related cutoff values is the Bogalusa study of 2597 Black and White American children, 34 in which three-or-more of the same six CV risk factors as in the present study were used.…”
Section: Discussionmentioning
confidence: 99%
“…Importantly, the low HDL-C (, 45 mg/dl) cut-off value defined by the Brazilian Guidelines in Atherosclerosis Prevention for children and adolescents (15) , and used here, is arbitrary because of a lack of literature consensus. For the same reason, cut-off values adopted by others are also not standardised; for example, Moreno et al (12) considered low HDL-C value less than the 25th percentile, Jessup and Harrel (23) adopted HDL-C # 35 mg/dl, and Cook et al (18) and Duncan et al (19) considered HDL-C # 40 mg/dl. Analysing our data according to the parameter of HDL-C , 45 mg/dl, low HDL-C was found in 43?2 % of the whole sample, varying from 39?9 % in the normalweight group to 62?9 % in the obese group.…”
Section: Discussionmentioning
confidence: 99%
“…28,29 Definitive internationally acceptable cut points for waist circumference that are linked to metabolic risk have yet to be established in children, 31 however, waist circumference is being increasingly used for clinical assessment in younger populations. 32,33 Therefore, we have used waist circumference as a continuous variable in our analyses. Each variable was measured twice or thrice depending on the tolerance and the mean of two measures or median of three measures were utilized.…”
Section: Anthropometric Measurementsmentioning
confidence: 99%