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1.
J Pediatr (Rio J) ; 100(3): 305-310, 2024.
Article in English | MEDLINE | ID: mdl-38341186

ABSTRACT

OBJECTIVE: To build a model based on cardiometabolic indicators that allow the identification of overweight adolescents at higher risk of subclinical atherosclerotic disease (SAD). METHODS: Cross-sectional study involving 161 adolescents with a body mass index ≥ +1 z-Score, aged 10 to 19 years. Carotid intima-media complex thickness (IMT) was evaluated using ultrasound to assess subclinical atherosclerotic disease. Cardiometabolic indicators evaluated included nutritional status, central adiposity, blood pressure, lipidic profile, glycemic profile, as well as age and sex. Data was presented using measures of central tendency and dispersion, as well as absolute and relative frequency. The relationship between IMT measurement (outcome variable) and other variables (independent variables) was assessed using Pearson or Spearman correlation, followed by multiple regression modeling with Gamma distribution to analyze predictors of IMT. Statistical analysis was performed using SPSS and R software, considering a significance level of 5 %. RESULTS: It was observed that 23.7 % had Carotid thickening, and the prevalence of abnormal fasting glucose was the lowest. Age and fasting glucose were identified as predictors of IMT increase, with IMT decreasing with age by approximately 1 % per year and increasing with glucose by around 0.24 % per mg/dL. CONCLUSION: The adolescent at higher risk is younger with higher fasting glycemia levels.


Subject(s)
Atherosclerosis , Blood Glucose , Carotid Intima-Media Thickness , Fasting , Humans , Adolescent , Female , Male , Cross-Sectional Studies , Blood Glucose/analysis , Atherosclerosis/blood , Atherosclerosis/etiology , Child , Fasting/blood , Young Adult , Body Mass Index , Risk Factors , Age Factors , Overweight/blood , Overweight/complications
2.
Cardiol Young ; 26(7): 1333-42, 2016 Oct.
Article in English | MEDLINE | ID: mdl-26555565

ABSTRACT

OBJECTIVE: To evaluate the presence of carotid thickening and its relationship with the Pathobiological Determinants of Atherosclerosis in Youth score. METHODS: We carried out a cross-sectional study involving 512 brazilian adolescents. Variables such as sex, body mass index, concentrations of non-high-density lipoprotein and high-density lipoprotein cholesterol, blood pressure, blood glucose and glycated haemoglobin A1c levels that make up the score, and carotid thickening through the intima-media complex measured by ultrasound were evaluated. We adopted two cut-off points to evaluate carotid thickening, being considered altered for those higher or equal to the z-score 2+ and ⩾75th percentile. The association was assessed using the χ2 test and univariate and multivariate logistic regression analyses. RESULTS: High cardiovascular risk was present in 10.2% of the adolescents; carotid thickness was present in 4.3% determined by the z-score 2+ and in 25.0% determined by the 75th percentile. When measured by the z-score, carotid thickening was associated with high systolic blood pressure (p=0.024), high-non-high density lipoprotein cholesterol (p=0.039), and high cardiovascular risk assessed by the score and by the 75th percentile, with body mass index >30 (p=0.005). In the multivariate analysis, high cardiovascular risk was found to be independently associated with the presence of carotid thickness evaluated by the z-score, with risk four times greater (p=0.010) of presenting with this condition compared with individuals with low risk, and this fact was not observed when factors were analysed alone. CONCLUSION: The presence of high cardiovascular risk in adolescents assessed by the Pathobiological Determinants of Atherosclerosis in Youth score was associated with marked thickening of the carotid artery in healthy adolescents.


Subject(s)
Atherosclerosis/diagnostic imaging , Carotid Arteries/diagnostic imaging , Carotid Intima-Media Thickness , Adolescent , Atherosclerosis/pathology , Blood Glucose , Blood Pressure , Brazil , Cross-Sectional Studies , Female , Humans , Logistic Models , Male , Multivariate Analysis , Risk Factors , Ultrasonography , Young Adult
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