URIC ACID IS ASSOCIATED WITH CARDIOMETABOLIC RISK FACTORS IN OVERWEIGHT AND OBESE CHILDREN AND ADOLESCENTS

2018 ◽  
Vol 36 (Supplement 1) ◽  
pp. e18
Author(s):  
J. Alvarez ◽  
P. Redon ◽  
M. Torro ◽  
F. Aguilar ◽  
J. Redon ◽  
...  
2021 ◽  
Vol 9 (2) ◽  
pp. 167-174
Author(s):  
Motahar Heidari-Beni ◽  
◽  
Roya Riahi ◽  
Fatemeh Mohebpour ◽  
Majid Khademian ◽  
...  

Context: There has been an increasing interest in epidemiological and clinical studies concerning the role of uric acid in cardiometabolic diseases, especially in children and adolescents. However, these potential relationships remain undiscovered; accordingly, its pathophysiological mechanisms remain unrecognized. This study aimed to assess the potential association between Serum Uric Acid (SUA) levels and cardiometabolic risk factors in a population-based sample of Iranian children and adolescents. Objectives: This study aimed to assess the potential association between Serum Uric Acid (SUA) levels and cardiometabolic risk factors in a population-based sample of Iranian children and adolescents. Methods: The data of 595 individuals aged 7-18 years were assessed in this research. Anthropometric measurements and laboratory tests were performed according to standardized protocols. Results: The Mean±SD age of the 595 explored students was 12.39±3.07 years. The overall Mean±SD SUA level of the study participants was measured as 4.22±1.13 mg/dL, with significant gender-wise differences (4.04±0.97 mg/dL vs 4.38±1.24 mg/dL, respectively; P<0.05). The prevalence of hyperuricemia based on the 90th percentile of SUA levels was equal to 10.6%. There was a positive association between SUA levels and abdominal obesity (waist circumference: ≥90th percentile) [Odds Ratio (OR): 1.54; 95% Confidence Interval (CI): 1.26 to 1.86] and general obesity [gender-specific Body Mass Index (BMI) for >95th percentile] (OR: 2.32; 95% CI: 1.74 to 3.11). Conclusions: This study suggested BMI and waist circumference as cardiometabolic risk factors, i.e. significantly associated with SUA levels in children and adolescents.


2016 ◽  
Vol 12 (1) ◽  
pp. 12-19 ◽  
Author(s):  
Linlin Li ◽  
Adriana Pérez ◽  
Li-Tzy Wu ◽  
Nalini Ranjit ◽  
Henry S. Brown ◽  
...  

2014 ◽  
Vol 50 (9) ◽  
pp. 707-712 ◽  
Author(s):  
Nathalia C Gonzaga ◽  
Carla CM Medeiros ◽  
Danielle F de Carvalho ◽  
João GB Alves

Author(s):  
Stella Stabouli ◽  
Katerina Chrysaidou ◽  
Athanasia Chainoglou ◽  
Dimos Gidaris ◽  
Vasilios Kotsis ◽  
...  

Observational studies show that serum uric acid levels associate with cardiometabolic risk factors and subclinical target organ damage. The aim of the present study is to investigate the association of traditional cardiometabolic risk factors and uric acid with the executive performance in children and adolescents. Ninety-nine children and adolescents aged 5 to 18 years referred for assessment of primary hypertension were included. Traditional cardiometabolic risk factors, uric acid, and ambulatory blood pressure parameters were assessed. Executive performance was assessed by the validated Behavior Rating Inventory of Executive Function parent questionnaire. Serum uric acid correlated with cardiometabolic parameters, daytime and nighttime systolic blood pressure. High uric acid levels and ambulatory hypertension were associated with behavior regulation independently of other cardiometabolic risk factors or presence of metabolic syndrome. Participants with combined hypertension and high uric acid levels presented the lowest behavior regulation performance. Children with high uric acid had worse behavior regulation indices T scores with estimated marginal means 56.47 (95% CI, 51.68–61.27) compared with 49.22 (95% CI, 45.91–52.53) in those with low uric acid levels ( P =0.023, adjusted for age, sex, nighttime systolic blood pressure, daytime and nighttime heart rate). Mediation analysis showed that part of the effect of high uric acid levels on behavior regulation was mediated by nighttime systolic blood pressure. In conclusion, we found a positive association of serum uric acid with worse executive performance in children at risk for primary hypertension. Extending these cross-sectional findings with longitudinal studies may determine whether high uric acid levels increases the risk of cognitive decline in youth.


Author(s):  
Fernanda Thomazini ◽  
Beatriz Silva de Carvalho ◽  
Priscila Xavier de Araujo ◽  
Maria do Carmo Franco

Abstract Objectives The prevalence of hyperuricemia, a common disorder, has been increasing. Moreover, the association between obesity, serum uric acid levels, and cardiometabolic markers in children is unclear. Therefore, this study aimed to analyze the inter-relationships between these factors in a sample of children aged 6–12 years. Methods We evaluated 764 children and stratified them according to their body mass index (BMI). Blood pressure and uric acid, creatinine, lipid, and glycemic profiles were evaluated, and the estimated glomerular filtration rate (eGFR) and the homeostatic model assessment for insulin resistance (HOMA-IR) index were calculated. Results There was a significant linear trend of increasing systolic blood pressure (SBP), diastolic blood pressure (DBP), triglycerides (TG), total cholesterol, low-density lipoprotein cholesterol (LDLc), uric acid, insulin levels, and HOMA-IR index values corresponding with overweight and obese groups; however, high-density lipoprotein cholesterol (HDLc) levels decreased with increasing obesity. The mean creatinine level and eGFR were similar across all BMI groups. Uric acid levels were significantly correlated with BMI (r=0.527), waist circumference (r=0.580), SBP (r=0.497), DBP (r=0.362), TG (r=0.534), total cholesterol (r=0.416), LDLc (r=0.286), HDLc (r=−0.248), insulin (r=0.613), and HOMA-IR index (r=0.607). Multiple regression analyses showed that BMI (B=0.071; SE=0.012; p<0.001), TG (B=0.004; SE=0.001; p<0.001), LDLc (B=0.003; SE=0.001; p=0.006), and insulin (B=0.066; SE=0.007; p<0.001) (R2=0.460) were significant predictors of increased uric acid levels and explained 46% of the variability in uric acid in these children. Conclusions Our findings suggest that overweight or obese children are more likely to have higher uric acid levels. Moreover, several cardiometabolic risk factors were strongly associated with high uric acid levels.


2013 ◽  
Vol 13 (1) ◽  
Author(s):  
Sabine Makkes ◽  
Carry M Renders ◽  
Judith E Bosmans ◽  
Olga H van der Baan-Slootweg ◽  
Jacob C Seidell

Author(s):  
Sanem Kayhan ◽  
Nazli Gulsoy Kirnap ◽  
Mercan Tastemur

Abstract. Vitamin B12 deficiency may have indirect cardiovascular effects in addition to hematological and neuropsychiatric symptoms. It was shown that the monocyte count-to-high density lipoprotein cholesterol (HDL-C) ratio (MHR) is a novel cardiovascular marker. In this study, the aim was to evaluate whether MHR was high in patients with vitamin B12 deficiency and its relationship with cardiometabolic risk factors. The study included 128 patients diagnosed with vitamin B12 deficiency and 93 healthy controls. Patients with vitamin B12 deficiency had significantly higher systolic blood pressure (SBP), diastolic blood pressure (DBP), MHR, C-reactive protein (CRP) and uric acid levels compared with the controls (median 139 vs 115 mmHg, p < 0.001; 80 vs 70 mmHg, p < 0.001; 14.2 vs 9.5, p < 0.001; 10.2 vs 4 mg/dl p < 0.001; 6.68 vs 4.8 mg/dl, p < 0.001 respectively). The prevalence of left ventricular hypertrophy was higher in vitamin B12 deficiency group (43.8%) than the control group (8.6%) (p < 0.001). In vitamin B12 deficiency group, a positive correlation was detected between MHR and SBP, CRP and uric acid (p < 0.001 r:0.34, p < 0.001 r:0.30, p < 0.001 r:0.5, respectively) and a significant negative correlation was detected between MHR and T-CHOL, LDL, HDL and B12 (p < 0.001 r: −0.39, p < 0.001 r: −0.34, p < 0.001 r: −0.57, p < 0.04 r: −0.17, respectively). MHR was high in vitamin B12 deficiency group, and correlated with the cardiometabolic risk factors in this group, which were SBP, CRP, uric acid and HDL. In conclusion, MRH, which can be easily calculated in clinical practice, can be a useful marker to assess cardiovascular risk in patients with vitamin B12 deficiency.


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