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. 2009 Nov;124(5):e905-12.
doi: 10.1542/peds.2009-0179. Epub 2009 Oct 26.

Using BMI to determine cardiovascular risk in childhood: how do the BMI cutoffs fare?

Affiliations

Using BMI to determine cardiovascular risk in childhood: how do the BMI cutoffs fare?

Asheley Cockrell Skinner et al. Pediatrics. 2009 Nov.

Abstract

Objective: Although adverse health outcomes are increased among children with BMI above the 85th (overweight) and 95th (obese) percentiles, previous studies have not clearly defined the BMI percentile at which adverse health outcomes begin to increase. We examined whether the existing BMI percentile cutoffs are optimal for defining increased risk for dyslipidemia, dysglycemia, and hypertension.

Methods: This was a cross-sectional analysis of the National Health and Nutrition Examination Survey from 2001 to 2006. Studied were 8216 children aged 6 to 17 years, representative of the US population. BMI was calculated by using measured height and weight and converted to percentiles for age in months and gender. Outcome measures (dyslipidemia, dysglycemia, and hypertension) were based on laboratory and physical examination results; these were analyzed as both continuous and categorical outcomes.

Results: Significant increases for total cholesterol values and prevalence of abnormal cholesterol begin at the 80th percentile. Significant increases in glycohemoglobin values and prevalence of abnormal values begin at the 99th percentile. Consistent significant increases in the prevalence of high or borderline systolic blood pressure begin at the 90th percentile.

Conclusions: Intervening for overweight children and their health requires clinical interventions that target the right children. On the basis of our data, a judicious approach to screening could include consideration of lipid screening for children beginning at the 80th percentile but for dysglycemia at the 99th percentile. Current definitions of overweight and obese may be more useful for general recognition of potential health problems and discussions with parents and children about the need to address childhood obesity.

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Figures

FIGURE 1
FIGURE 1
Odds ratios and 95% confidence intervals from adjusted logistic regression of the effect of weight on likelihood of abnormal lipid values. a P < .01. A, odds of high or borderline total cholesterol; B, odds of low HDL cholesterol; C, odds of high or borderline LDL cholesterol; D, odds of high triglycerides.
FIGURE 2
FIGURE 2
Odds ratios and 95% confidence intervals from adjusted logistic regression of the effect of weight on likelihood of abnormal glycemic values. a P < .01. A, odds of high glycohemoglobin; B, odds of abnormal glucose.
FIGURE 3
FIGURE 3
Odds ratios and 95% confidence intervals from adjusted logistic regression of the effect of weight on likelihood of abnormal blood pressure values. a P < .01. A, odds of high or borderline systolic blood pressure; B, odds of high or borderline diastolic blood pressure.

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