Objective: To estimate the burden of weight excess in Brazilian adolescents. Design: Systematic review with meta-analysis. Setting: We searched the literature in four databases (MEDLINE/PubMed, EMBASE, SciELO and LILACS). Studies were included if they had cross-sectional or cohort design and enrolled Brazilian adolescents. Studies based on self-reported measures were excluded. Random effect models were used to calculate prevalence estimate and its 95% confidence interval (95%CI). Participants: Brazilian adolescents (10 to 19 years old). Results: One hundred and fifty-one studies were included. Trend analyses showed a significant increase in the prevalence of excess weight in the last decades: 8.2% (95%CI:7.7-8.7) until year 2000, 18.9 (95%CI:14.7-23.2) from 2000 to 2009, and 25.1% (95%CI:23.4-26.8) in 2010 and after. A similar temporal pattern was observed in the prevalence of overweight and obesity separately. In sensitivity analyses, lower prevalence of excess weight was found in older adolescents and those defined using IOTF cutoff points. The Southeast and South regions had the highest prevalence of excess weight, overweight and obesity. No significant difference in prevalence by sex was found, except for studies before the year 2000. Conclusions: The prevalence of overweight and obesity in Brazilian adolescents is high and continues to rise. Public policies on an individual level and targeting modifications in the obesogenic environment are necessary.

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Dietary factors play a role in modulating chronic inflammation and in the development of cardiovascular disease. We aimed to investigate the association between the dietary inflammatory index (DII) and cardiometabolic risk factors among adolescents.A total of 31,684 Brazilian adolescents (12–17 years), from the Study of Cardiovascular Risks in Adolescents (ERICA) were included. Dietary intake was assessed using a 24-hour dietary recall. The E-DII (energy-adjusted)score was calculated based on data for 25available nutrients. The anthropometric profile, blood pressure, lipid profile, glucose, Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), and glycated hemoglobin were measured. Poisson regression models were used to examine the associations between sex-specific quartiles of the E-DII and cardiometabolic risk factors. In the energy-adjusted models, when comparing a high pro-inflammatory diet (quartile 4) withananti-inflammatory diet (quartile 1), there was a positive association with high HOMA-IR among boys(prevalence ratios (PR)Q4=1.37, 95%CI: 1.04–1.79); and with high fasting glucose (PRQ4 = 1.96, 95%CI: 1.02–3.78), high triglycerides (PRQ4 = 1.92, 95%CI: 1.06–3.46),low HDL-c (PRQ4 = 1.16, 95%CI: 1.02–1.32) and high LDL-c (PRQ4 = 1.93, 95%CI: 1.12–3.33) among girls. Additionally, a moderately pro-inflammatory diet was positively associated with high HOMA-IR (PRQ2 = 1.14, 95%CI: 1.02–1.29) among girls, and high total cholesterol (PRQ3 = 1.56, 95%CI: 1.20–2.01) among boys.In conclusion, this study provides new evidence on the association between inflammatory diets with cardiometabolic risk factors among adolescents.

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