BackgroundObesity has been identified as an important risk factor in the development of
cardiovascular diseases; however, other factors, combined or not with obesity, can
influence cardiovascular risk and should be considered in cardiovascular risk
stratification in pediatrics. ObjectiveTo analyze the association between anthropometry measures and cardiovascular risk
factors, to investigate the determinants to changes in blood pressure (BP), and to
propose a prediction equation to waist circumference (WC) in children and
adolescents. MethodsWe evaluated 1,950 children and adolescents, aged 7 to 18 years. Visceral fat was
assessed by WC and waist hip relationship, BP and body mass index (BMI). In a
randomly selected subsample of these volunteers (n = 578), total cholesterol,
glucose and triglycerides levels were evaluated. ResultsWC was positively correlated with BMI (r = 0.85; p < 0.001) and BP (SBP r =
0.45 and DBP = 0.37; p < 0.001). Glycaemia and triglycerides showed a weak
correlation with WC (r = 0.110; p = 0.008 e r = 0.201; p < 0.001,
respectively). Total cholesterol did not correlate with any of the variables. Age,
BMI and WC were significant predictors on the regression models for BP (p <
0.001). We propose a WC prediction equation for children and adolescents: boys: y
= 17.243 + 0.316 (height in cm); girls: y = 25.197 + 0.256 (height in cm). ConclusionWC is associated with cardiovascular risk factors and presents itself as a risk
factor predictor of hypertension in children and adolescents. The WC prediction
equation proposed by us should be tested in future studies.
1 24-hour movement behaviours and fundamental movement skills in pre-school 1 2 children: a compositional and isotemporal substitution analysis 2 3 3 4
Background: During childhood and adolescence, physical inactivity, excess weight, and poor nutrition are risk factors for chronic diseases, especially obesity, hypertension, and diabetes mellitus. Early intervention can prevent the development of these complications.
BackgroundBoth poor aerobic fitness and obesity, separately, are associated with
abnormal lipid profiles.ObjectiveTo identify possible relationships of dyslipidemia with cardiorespiratory
fitness and obesity, evaluated together, in children and adolescents.MethodsThis cross-sectional study included 1,243 children and adolescents (563 males
and 680 females) between 7 and 17 years of age from 19 schools. Obesity was
assessed using body mass index (BMI) measurements, and cardiorespiratory
fitness was determined via a 9-minute run/walk test. To analyze the lipid
profile of each subject, the following markers were used: total cholesterol,
cholesterol fractions (high-density lipoprotein and low-density lipoprotein)
and triglycerides. Data were analyzed using SPSS v. 20.0, via prevalence
ratio (PR), using the Poisson regression.ResultsDyslipidemia is more prevalent among unfit/overweight-obese children and
adolescents compared with fit/underweight-normal weight boys (PR: 1.25; p =
0.007) and girls (PR: 1.30, p = 0.001).ConclusionsThe prevalence of dyslipidemia is directly related to both obesity and lower
levels of cardiorespiratory fitness.
There is an association between the AA genotype of rs9939609 polymorphism and BMI among schoolchildren. The association between overweight/obesity in schoolchildren with a family history of obesity was found mainly among students with the AA genotype.
Overweight and obesity are associated with chronic and subclinical inflammation due to an imbalance of inflammatory mediators. However, the association with gene polymorphism has been rarely studied in children. The aim of this study was to determine if serum concentrations of C-reactive protein (CRP) and interleukin-6 (IL-6) are related to the IL6 rs1800795, IL6 rs2069845 and CRP rs1205 polymorphisms (SNPs) according to body mass index (BMI) in a sample of children and adolescents. A cross-sectional study in 470 students between 7 and 17yearsof age of anthropometric characteristics, high sensitivity-CRP (Hs-CRP) and IL-6 levels and three SNPs genotyped. The prevalence ratio of hs-CRP>3mg/L in obese individuals was 4.15 (CI 2.43-7.06; p=0.01), and it was 1.91 (CI 1.03-3.55; p=0.03) in overweight individuals and 1.74 (CI 1.05-2.88 p=0.03) in females. Individuals with waist circumference (WC) and body fat percentage (BF%) alterations showed elevated levels of hs-CRP (p=4.3×10 and p=5.3×10). The combination of any two anthropometric measurement increases CRP levels, especially combinations with obesity body mass index (BMI): BMI+WC and BMI+BF%. Among the overweight/obesity group, T allele carriers of CRP rs1205 showed lower levels of hs-CRP (0.5, IQR=0.3-1.8mg/L) than CC homozygotes (1.5, IQR=0.4-3.4mg/L, p=0.018). Additionally, considering subjects with two or three anthropometric alterations for CRP rs1205: rs1205 T allele carriers had lower levels of hs-CRP (0.7, IQR=0.3-2.7mg/L) than CC homozygotes (1.2, IQR=0.5-3.5mg/L, p=0.02). In conclusion, carriers of the rs1205/T allele with higher BMIs had lower levels of hs-CRP. Schoolchildren who were overweight/obese had higher levels of CRP and IL-6, whereas individuals with WC and BF% alterations had higher levels of CRP.
The scope of this study was to verify the association between different overweight and obesity parameters and the metabolic risk profile among school-age students. The randomized cross-sectional study included 1254 children and adolescents, aged 7 to 17, from a city in southern Brazil. Body mass index (BMI), waist circumference (WC) and percentage of fat (PF), measured at the triceps and based on subscapular skinfold thickness, were used as the parameters to evaluate overweight/obesity status. Systolic blood pressure (SBP), total cholesterol, high-density lipoprotein cholesterol (HDL), low-density protein cholesterol (LDL) and triglycerides were also measured. The metabolic risk profile was calculated based on the sum of the z score of the metabolic variables adjusted by age. A three-model Poisson analysis was used to verify the association between BMI, WC and PF with metabolic risk profile. BMI showed the highest probability for developing metabolic risk compared with WC (overweight - PR: 1.63 and obesity – PR: 3.87) and PF (overweight – PR: 1.62 and obesity – PR: 2.92). In conclusion, BMI seems to be a better parameter of overweight/obesity than WC and PF in the assessment of metabolic risk among youths.
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