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Background and objective Reference data for anthropometric parameters are not available for adolescents in Cali (Colombia). This study aimed to develop representative age- and sexspecific percentiles for anthropometric indicators [fat percentage, body mass index (BMI), and waist circumference] in urban adolescents aged 10–16 years in Cali. Methods The sample (n = 1,773) consisted of 865 boys and 908 girls from the descriptive, cross-sectional population-based IFRECNTEC study (Identification of Risk Factors for Noncommunicable Chronic Diseases in Adulthood in a Population aged 6 to 18 years old attending School in the Municipality of Cali, Colombia). Data on anthropometric variables were recorded. Smoothed age- and sex- specific 5th, 25th, 50th, 75th, 90th and 95th centiles were derived using the least mean squares (LMS) regression method. Results In most ages, anthropometric indicators were higher for girls than for boys. The BMI p50 ranged from 16.8 to 19.9 kg/m2 in boys and from 16.7 to 21.1 kg/m2 in girls. Fat percentage in boys in the p50 varied from ≈12% at the ages of 10 and 11 years to ≈13% at the age of 16 years; for girls, these percentages varied from ≈13% in the earliest ages to ≈16% in older ages. Waist circumference was lower in girls than in boys in most ages. Conclusion The results of this study could be used to identify adolescents with an elevated risk of developing obesity, dyslipidemia, hypertension and cardiovascular disorders in adulthood, to plan and implement preventive policies, and to study temporal trends. The introduction of centile values will help to classify adolescents from Cali and compare their anthropometric indicators with those of a reference population.

Postprandial lipemia has been associated with atherogenesis and other non infectious chronic diseases. A descriptive, non aleatory study of 51 healthy young adults (23.8 +/- 4 years) of different ethnic background was carried out to identify possible personal or life style factors associated with the response of plasma lipids after a mixed carbohydrate and lipid load. Personal, family, life styles including use of drugs and activity and ethnic background were recorded. Anthropometrical measurements, a short insulin and postprandial lipemia tests were done. From these observations body mass index (BMI) and area under the curve (AUC) for lipids and glucose were calculated. High mean values were observed in AUC for glucose, triacylglycerol and nonesterified fatty acids (NEFA). Postprandial glucose with differences by age (p=0.05 Bonferroni) but no ethnic, gender, BMI or insulin sensitivity related significant differences were found. Mestizos (40%) showed two, and Negroes three (27%) postprandial triglyceridemia peaks. Noteworthy, subjects presenting four peaks had elevated BMI. Higher triglyceridemia values were found in white and mestizos (p0.05), in subjects older than 29 and in males (p0.05). Statistical correlation (r2=0.70) between BMI and triglyceridemia and change in postprandial trigliceridemia was found in white and black subjects. NEFA declined up to the second hour, but at 6-7 hours they reached levels higher than base values. Higher than reported values for UCA and BMI and an abnormal response to fat intake with an early release of NEFA was found. The high correlation between BMI and postprandial trigliceridemia suggests that body mass index could be a good predictor of postprandial trigliceridemia.