ABC | Volume 112, Nº6, June 2019

Original Article Reuter et al Dyslipidemia and associated factors in schoolchildren Arq Bras Cardiol. 2019; 112(6):729-736 Table 2 – Association between dyslipidemia and demographic data, cardiorespiratory fitness, and cultural habits in Santa Cruz do Sul, RS Variables Dyslipidemia Crude OR 1 (95% CI) Dyslipidemia Adjusted OR 2 (95% CI) Sex Male Female 1.50 (1.19–1.88)* 1.56 (1.24–1.96)* Age range 7 to 9 years 10 to 17 years 0.70 (0.55–0.90)* 0.72 (0.56–0.93)* TV Less than 2 hours – 2 hours or more 0.87 (0.69–1.08) School transport type Active – Sedentary 1.00 (0.80–1.25) Cardiorespiratory fitness Normal At risk 1.26 (1.01–1.58)* 1.18 (0.93–1.48)* BMI classification Underweight/normal Overweight/obese 1.60 (1.25–2.05)* 1.55 (1.20–2.00)* Avoids eating fatty or sweet foods Never/sometimes – Almost always/always 0.88 (0.68–1.13) Varied meals Never/sometimes – Almost always/always 1.06 (0.85–1.33) Soft drinks Never/sometimes – Almost always/always 0.83 (0.66–1.04) Pizza or lasagna Never/sometimes – Almost always/always 0.79 (0.61–1.01) Sweets Never/sometimes – Almost always/always 0.98 (0.78–1.24) Fried salty snacks Never/sometimes – Almost always/always 0.94 (0.75–1.17) Logistic regression. OR: odds ratio; CI: 95% confidence interval; TV: television; BMI: body mass index. 1 Univariate analysis; 2 analysis adjusted for variables that showed significance (p < 0.05). *Significant data (p < 0.05). A study of 1,805 Chinese children and adolescents evaluated the different between metabolically healthy and metabolically unhealthy schoolchildren. The findings revealed that BMI and sedentary behavior were the factors with the greatest impact on metabolic health. In addition, excessive consumption of junk food was strongly associated with unfavorablemetabolic profiles in schoolchildren. 22 Similarly, a study of 227 preschool children conducted in Diamantina, Minas Gerais, Brazil demonstrated that preschoolers who reported less balanced diets, with more frequent consumption of foods rich in lipids and carbohydrates, as well as higher BMI and lower levels of maternal education, had a higher association with the occurrence of lipid profile 732