ASSOCIATION BETWEEN SERIC URIC ACID AND
CARDIOMETABOLIC RISK VARIABLES IN CHILDREN AND ADOLESCENTS
Name: DEYSE MAGDINIER DUTRA
Type: MSc dissertation
Publication date: 03/06/2020
Advisor:
Name |
Role |
|---|---|
| CAROLINA PERIM DE FARIA | Advisor * |
Examining board:
| Name |
Role |
|---|---|
| CAROLINA PERIM DE FARIA | Advisor * |
| DIVANEI DOS ANJOS ZANIQUELI | External Examiner * |
| JOSE GERALDO MILL | External Alternate * |
| MIRIAM CARMO RODRIGUES BARBOSA | Internal Alternate * |
| VALDETE REGINA GUANDALINI | Internal Examiner * |
Summary: Introduction: Uric acid (AU), the final
product of purine metabolism, is used for risk effects for different
diseases, but in childhood and adolescence there are few studies that
evaluate the relationship between uric acid and cardiometabolic changes. The
aim of the study was to assess uric acid levels in children and adolescents
and its relationship with cardiometabolic risk variables. Methods: This is a
cross-sectional study with 791 children and adolescents from 6 to 18 years
old, of both sexes. The anthropometric variables analyzed were height,
weight, waist circumference (BW), body fat percentage (% BF) and body mass
index (BMI), hemodynamic measures were systolic and diastolic blood pressure
and wave speed carotid-femoral pulse (VOP-cf). In the blood, uric acid,
glucose, total cholesterol (TC), high density lipoprotein (HDL-c), low
density lipoprotein (LDLc) and non-HDL cholesterol (Non-HDLc) were measured.
Sexual maturation was classified by the tanner scale in prepubertal (stage I)
and pubertal (stage II, III, IV and V). Student's t test or analysis of
variance followed by the Tukey test was used to compare the difference
between the means and the chi-square test for the proportions. The analyzes
were performed using Pearson's correlation test and simple linear regression.
The level of significance was set at p <0.05. Results: The sample consisted
of 56.4% (n = 446) boys and 43.6% (n = 345) girls, with a mean age of 11.3 ±
2.7 years. The mean uric acid in the sample was 3.99 ± 1.04 mg/dl, sex and
puberty influenced uric acid values, being higher in boys and pubescents (p
<0.05). The variables that presented the strongest correlations with uric
acid for both sexes were weight and BW (p <0.001). In boys, the variables
that remained associated with uric acid were the percentile of BMI
(β=0.006), CP (β=0.047), systolic (β=0.041), diastolic blood pressure
(β=0.010) and Cf-PWV (β=0.238) (p<0.05). In girls, the percentile of BMI
(β=0.009), CP (β=0.036), %CG (β=0.030), HDLc (β=-0.012) and triglycerides
(β=0.004) (p<0.05) were associated with AU. Conclusion: Conclusion: Uric
acid differs between the sexes in relation to the stage of sexual maturation.
In girls, anthropometric variables and lipid profile variables were
associated with uric acid, and in boys, in addition to anthropometric
variables, blood pressure and Cf-PWV were associated with uric acid. Thus,
the data demonstrate an association between serum uric acid levels and
cardiometabolic changes between genders, and it is important to use new risk
markers such as uric acid to control and investigate these changes in
population's health.
