Anthropometric correlates of lipoprotein profile and blood pressure in high BMI African American children

Authors

  • A Raman,

    1. The Robert C and Veronica Atkins Center for Weight and Health; and Department of Nutritional Sciences and Toxicology, University of California, Berkeley, CA, USA
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  • S Sharma,

    1. The Robert C and Veronica Atkins Center for Weight and Health; and Department of Nutritional Sciences and Toxicology, University of California, Berkeley, CA, USA
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  • MD Fitch,

    1. The Robert C and Veronica Atkins Center for Weight and Health; and Department of Nutritional Sciences and Toxicology, University of California, Berkeley, CA, USA
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  • SE Fleming

    1. The Robert C and Veronica Atkins Center for Weight and Health; and Department of Nutritional Sciences and Toxicology, University of California, Berkeley, CA, USA
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Dr S Sharma, Department of Nutritional Sciences and Toxicology, 212 Morgan Hall, University of California, Berkeley, Berkeley, CA 94720-3104, USA. Tel: +1 510-642-9944 | Fax: +1 510-642-0535 |
Email: sushma@berkeley.edu

Abstract

Objective:  To explore the association of anthropometric indices with lipoprotein profile and blood pressure as risk factors of cardiovascular disease, in African American (AA) children.

Methods:  A cross-sectional analysis was carried out on children aged 9–13 years with BMI >85th percentile. Height, weight, waist and hip circumferences, % body fat and blood pressure [systolic (sBP) and diastolic (dBP)] were measured. Fasting plasma levels of triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), intermediate density lipoprotein cholesterol (IDL-C) and very low-density lipoprotein cholesterol (VLDL-C) were analysed.

Results:  After accounting for age, gender and pubertal status of the child, multiple linear regression models showed that waist circumference and BMIz were strong predictors for lipoprotein variables. In independent analysis, waist circumference and BMI z-scores were found to be interdependently associated with TG, LDL-C:HDL-C ratio, VLDL-C and sBPz. However, for HDL-C, TG:HDL-C ratio and dBPz, waist circumference was independently and more strongly associated with these risk factors than BMI.

Conclusion:  Waist circumference was a stronger predictor for lipoprotein variables and blood pressure in high BMI AA children than other anthropometric indices, and may be adequate as a screening test to identify children who are at increased risk for cardiovascular disease.

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