Comparison of the Effects of Physiotherapy Group Exercise and Basketball on Quality of Life of Obese Children

Aim: To compare the effects of group exercises under physiotherapist control and basketball program on the quality of life of obese children. Methods: 45 obese children aged 10 years were randomly included to the physiotherapy (n=14), basketball (n:15), and control group (n:16). The children were assessed before and after 12-week study duration. The Pediatric Quality of Life Inventory (PedsQL) was used to determine and compare their quality of life (QoL). Results: No difference was found when the subheadings of the PedsQL were compared among the groups (p>0.05). When the changes were investigated within the groups, only significant increase was determined in the physical and emotional subheadings of the physiotherapy group (pConclusion: Although no change was determined in the quality of life, physiotherapy group exercise was found to be more successful to affect physical and emotional status of obese children.

Metabolic and biological changes in children with obesity and diabetes

The World Health Organization has stated that obesity in childhood is one of themost serious public health challenges of the 21st century. Overweightness andobesity in early childhood lead to a higher risk of overweightness and obesity inadulthood, thus conferring an increased risk of chronic inflammatory conditions,including type 2 diabetes mellitus, cardiovascular diseases, non-alcoholic fattyliver disease, and some cancers. Therefore, metabolome analysis, targeted atscreening and intervening in childhood obesity, is very important. Recent studieshave indicated that amino acid and lipid metabolism could influence metabolicpathways in children with obesity. For this review, we searched clinical dataaddressing metabolomic profiles and insulin resistance (IR) in children withobesity from inception to February 2021 in Medline, Web of Science, and Scopus.According to our search, branched-chain amino acids (BCAAs), aromatic aminoacids, and acylcarnitines have reportedly been associated with IR as biomarkersfor diabetes in children. BCAAs, tyrosine, and phenylalanine could be predictorsof the future development of diabetes in nondiabetic subjects. In addition, it iswell known that insulin regulates BCAA metabolism, and BCAA is a biomarkerfor IR. To interpret the mechanism behind metabolic changes in obesity, it is veryimportant to understand the pathways and combinations related with amino acid,lipid and glucose metabolism. In this review, we summarize studies on metabolicchanges to understand metabolomics in children with obesity.

Obesity is associated with the Arg389Gly ADRB1 but not with the Trp64Arg ADRB3 polymorphism in children from San Luis Potosí and León,México

This research was designed to analyze the possible associations of Arg389 Gly ADRB1 and Trp64 Arg ADRB3polymorphisms in children with obesity.A cross-sectional study included 1,046 school-age Mexican participants（6-12 years old） from the cities of San Luis Potosi and Leon.Children were classified as non-obese or obese according to their body mass index（BMI） percentile;obese children had a BMI≥95th percentile for sex and age.Biochemical data were collected.Polymorphisms were detected using TaqMan qPCR assay.A logistic regression analysis was used to calculate the risk of obesity based on genotypes.Differences were found between groups where obese children had a significant increase in systolic and diastolic blood pressure,fasting plasma glucose,insulin,HOMAIR,LDL-cholesterol,triglycerides,and lower HDL-cholesterol compared with the normal weight group（P 〈 0.05）.The distribution of allele frequency in the population was Arg = 87.4 and Gly = 12.6（Hardy Weinberg equilibrium x^2= 3.16,P = 0.07）;Trp = 81.5 and Arg= 18.5（Hardy Weinberg equilibrium x^2 = 2.2,P = 0.14） for ADRB1 and ADRB3,respectively.Even though no different frequencies of Arg389 Gly polymoiphism between groups were found（P = 0.08）,children carriers of one Gly389,ADRB1 allele had a risk for obesity of OR = 1.40（95%CI,1.03-1.90,P =0.03） after adjustment for age and gender.No other association was found for Trp64 Arg ADRB3 polymorphism.Only the Arg389 Gly ADRB1 polymorphism was associated with risk for obesity in Mexican children.

Disease Risks of Childhood Obesity in China

Objective To estimate the relative risks of dyslipidemia, hypertension, diabetes mellitus, and metabolic syndromes among overweight and obese Chinese children compared with their normal weight counterparts. Methods Overweight and obesity were defined by age- and sex-specific BMI classification reference for Chinese children and adolescents. Pediatric metabolic syndrome （MetS） and each risk factor for MetS were defined using the criteria for US adolescents. Definition of hyper-TC, LDL, and dyslipidemia for adults was applied as well. General linear model factor analysis and chi-square test were used to compare the difference in metabolic indicators among normal weight, overweight, and obese groups. Multiple logistic regression analysis was performed to estimate the odds ratio of metabolic abnormalities between obesity, overweight, and normal weight children, after adjustment for living area, family economic level, age, sex, and daily exercise time and TV watching time, as well as different dietary indices in the model. Results Significant increases in blood lipids, glucose, and blood pressure were found among overweight and obese children as compared with their counterparts with normal weight. By applying WGOC-recommended BMI classification, the risks for hypertriglyceridemia, low HDL and dyslipidemia among overweight children were 1.9, 1.4, and 1.5 times, and was 3.3, 1.5, and 1.8 times among obese groups compared to their counterparts with normal weight after adjustment for age, sex, region, socioeconomic status, physical activity, and dietary intakes. The overweight and obese children （15-17.9 years） had a high-risk of developing hypertension, which was 2.3 and 2.9 times higher than their counterparts with normal weight. Above 90% obese adolescents had abdominal obesity, while less than 1% normal weight ones had abdominal obesity. No obese adolescents were free from any risk factors for MetS, while 36.9% of normal weight adolescents were from the risk factors. 83.3% obese boys and all obese girls had metabolic syndrome, while only 15.5% normal weight boys and 18.8% normal weight girls had metabolic syndrome. Four risk factors for metabolic syndrome were found in 8.3% obese boys while none in normal weight boys and girls. The prevalence of MetS among normal weight, overweight, and obesity groups was 1.5%, 18.3%, and 38.1% respectively. Conclusion The cardiovascular disease （CVD） risk factors are clustered in obese Chinese children. Our observations strongly suggest that efforts should be made to prevent the onset of overweight and its associated diseases during early childhood.