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Background: Dyslipidemias in childhood increase the risk of cardiovascular events in adult life. Aim: To evaluate the prevalence of dyslipidemia and risk of atherogenicity based in the atherogenic index of plasma (AIP) in a sample of school children and adolescents. Material and Methods: Cross-sectional study of 208 children aged 10.4 ± 1.0 years (107 women). Demographic data were obtained, and a clinical evaluation was conducted, including pubertal development according to Tanner and anthropometric parameters. A fasting blood sample was obtained to measure total cholesterol (CT), HDL cholesterol (cHDL) and triglycerides (TG), glucose and insulin. LDL cholesterol (cLDL), Non-HDL cholesterol and the indices CT/cHDL, cLDL/cHDL and AIP (log[TG/cHDL]) were calculated. Risk categories according to AIP for the pediatric population were also determined (low: AIP < 0.11, intermediate: AIP 0.11-0.21, high: AIP > 0.21). Results: Thirty eight percent of participants had dyslipidemia, without differences by gender and pubertal development. The frequency of dyslipidemia was significantly higher in children with obesity (54%, p < 0.01) and a waist circumference over percentile 90 (61%; p < 0.01). The later conditions had also higher CT/cHDL, cLDL/cHDL and AIP. According to AIP, 54% of children had a high atherogenicity risk along with alterations in anthropometric parameters and insulin resistance. All anthropometric and insulin resistance parameters were significantly correlated with the AIP. Conclusions: There is a high prevalence of dyslipidemia in the studied population, which is associated with an increased cardiometabolic risk. The indices of atherogenicity and particularly AIP are correlated with nutritional status, abdominal obesity and parameters of insulin resistance.

Background: Childhood and adolescent obesity is a major public health problem in Chile. Aim: To characterize cardiometabolic risk factors in a population of schoolchildren from Carahue, Chile. Material and Methods: Cross-sectional assessment of 208 children aged 10.4 ± 1.0 years (106 women). A clinical evaluation was carried out including pubertal development according to Tanner and anthropometric parameters. A fasting blood sample was obtained to measure glucose, insulin and lipid profile. HOMA-IR and Quicki indices were calculated. Insulin resistance (IR) was established according to Burrows criteria and Barja criteria, previously proposed for the Chilean pediatric population. The metabolic syndrome (MetS) was established using the modified Cook criteria. Results: Thirty eight percent of children had overweight and 33.1% obesity. MetS was only observed in obese subjects and the frequency in this subgroup was 38%. The prevalence of IR was 51% according to the Burrows criteria and 19% according to Barja criteria. It was more common in participants who were overweight, obese or had abdominal obesity. Children with insulin resistance according to Barja criteria, had worse anthropometric measures than their counterparts without resistance. When Burrows criteria was used, no differences in anthropometric measures were observed between participants with or without resistance. The frequency of MetS was 26 and 18% in children with insulin resistance according to Barja and Burrows criteria, respectively. Insulin levels and insulin sensitivity indexes were positively correlated with anthropometric parameters. Conclusions: There was a high prevalence of overweight, obesity and MetS in these participants. Our results suggest that the IR criteria according to Barja allows to identify cases with higher metabolic risk.

Background: Active commuting is associated with a lower risk for obesity in developed countries. Aim: To investigate the association between active commuting and obesity risk in Chile. Material and Methods: Active commuting was measured using the Global Physical Activity Questionnaire (GPAQ v2) in 5,293 participants from the Chilean National Health Survey 2009-2010. Body mass index (BMI) and waist circumference (WC) were the study outcomes. The association between active commuting and obesity was investigated using linear and logistic regression analysis. Results: Thirty four percent of responders [95% confidence intervals (CI): 32.6-35.1] were passive commuters. Active commuters had a lower BMI and WC than their passive counterparts. Thirty minutes increment in active commuting were associated with a −0.20 kg.m-2 lower BMI [95% CI: −0.33 to −0.07, p < 0.01] and a −076 cm lower WC [95% CI: −1.08 to −0.43, p < 0.01]. The odds of having a BMI > 25 kg.m-2 was 0.93 [95% CI: 0.88 to 0.98, p = 0.01] per every 30 minutes’ increment in active commuting, whereas the odds for central obesity was 0.87 [95% CI: 0.82 to 0.92, p < 0.01]. Conclusions: Active commuting is associated with a lower adiposity and lower risk for obesity in Chilean adults.