Usefulness of the metabolic syndrome diagnosis in obese children in clinical practice

Springwald, Anna; Różana-Kowalska, Patrycja; Gibala, P; Zajdel-Cwynar, Olimpia; Małecka-Tendera, Ewa; Matusik, Paweł

doi:10.5114/pedm.2019.84711

Cited by 5 publications

(4 citation statements)

References 24 publications

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“…Metabolic syndrome was diagnosed in 69 children (24%). 31 However, in our study, we found only 16.25% of children had metabolic syndrome. This could be due to the difference in the criteria used to diagnose MetS.…”

Section: Discussioncontrasting

confidence: 63%

Correlation of anthropometric measurements with body mass index and estimation of the proportion of metabolic syndrome among overweight and obese children: a hospital-based cross-sectional study

Ramesh,

Kumar,

Sweta

et al. 2024

bmjpo

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BackgroundEarly identification of overweight and obesity with the help of simple anthropometric tests can prevent from development of metabolic complications in these children. Body mass index (BMI) is the most commonly used parameter but, measurements such as waist circumference (WC), waist-to-height ratio (WHtR) and wrist circumference (WrC) have also been studied and found to have a better correlation with visceral fat.ObjectiveTo correlate WC, WHtR and WrC with BMI among overweight and obese children. The secondary objective was to estimate the proportion of metabolic syndrome among obese and overweight children.MethodsA single-centre, cross-sectional study involving 80 overweight and obese children aged 3–15 years. Anthropometric measures such as WC, WHtR and WrC of the study subjects were correlated with BMI and investigated for metabolic syndrome.ResultsStatistically significant and moderate positive correlation was found between BMI and WC, r (80)=0.45 and p<0.001 with WC explaining 20% of the variation of BMI. There was a statistically significant, moderate positive correlation between WHtR and BMI r (80)=0.34 and p<0.001 with 11% of the variation in BMI. There was a statistically significant strong positive correlation between WC and WrC (80)=0.61 and p<0.001, and WrC explains 37.2% of the variation in WC. However, there was no statistically significant correlation between BMI and WrC. Metabolic syndrome was found in 13 (16.25%) children.ConclusionAlternative anthropometric measurements such as WC and WHtR have a significant correlation with BMI and may be of help in defining overweight and obesity in children. There was a statistically significant strong positive correlation between WC and WrC among obese children. Metabolic syndrome is common in these children.

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Section: Discussioncontrasting

confidence: 63%

Correlation of anthropometric measurements with body mass index and estimation of the proportion of metabolic syndrome among overweight and obese children: a hospital-based cross-sectional study

Ramesh,

Kumar,

Sweta

et al. 2024

bmjpo

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“…Importance of diagnostics of MS for clinical practice is pointed out by Springwald et al . [ 23 ]. According to the analysis of presented results of lipid metabolism tests in our patients, we need to take into account that the mean age of the subjects was about 14 years.…”

Section: Discussionmentioning

confidence: 99%

Lipid metabolism and renal function markers in obese adolescents

Radosz¹,

Obuchowicz²

2023

pedm

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Aim of the study: To investigate the relationship of renal function markers and lipid metabolism parameters in obese adolescents. Material and methods: The study comprised 76 children aged 11-17 years, hospitalised due to: obesity (group I -19 children) or obesity accompanied by obesity-induced hypertension (group II -30 children) or normosthenic children with a diagnosed tension headaches (control group -27 children). A subgroup with metabolic syndrome (MS -16 children) was also separated. Renal function was assessed on the basis of: serum creatinine concentration, glomerular filtration rate estimated using Schwartz eqation (eGFR), determination of plasma and urinary neutrophil gelatinase-associated lipocalin and cystatin C. On the basis of statistical analysis, it was checked whether renal function markers depend on lipid metabolism parameters. Results: In the study groups mean creatinine concentrations were significantly higher and eGFR values significantly lower than in the control group, but they remained within norm. Differences in plasma and urinary neutrophil gelatinase-associated lipocalin concentrations were not significant. Mean cystatin C concentrations were significantly higher in the group of obese children. Multiple linear regression analysis showed that the most important predictor was: LDL-C for urinary neutrophil gelatinase-associated lipocalin (R2 = 0.42) and TG for eGFR (R2 = 0.44) concentrations in group I; cholesterol for creatinine concentrations in MS group (R2 = 0.44). Conclusions: Renal function of the obese adolescents included in the study was normal and the associations with lipid metabolism were poorly expressed.

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“…FMI is a better predictor of metabolic syndrome than BMI [ 8 ]. A timely diagnosis of metabolic syndrome allows the implementation of early intervention and reduces the risk of chronic conditions later in life [ 16 , 39 ]. Nonetheless, FMI usage requires additional specialized equipment: scales capable of measuring bioimpedance or callipers.…”

Section: Discussionmentioning

confidence: 99%

Juvenile obesity in terms of various evaluation methods

Chabowska¹,

Czyżewski²,

Barg³

2022

pedm

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Introduction: Obesity is a civilization disease of the 21 st century. The prevalence of obesity and overweight among children and adolescents is constantly increasing. BMI (body mass index) and WHR (waist to hip ratio) are methods of obesity assessment recommended by the WHO. Also, the WtHR (waist to height ratio), which takes into account height, is one of the most popular methods of diagnosing childhood obesity. A more recent diagnostic indicator is the FMI (fat mass index), which considers the percentage of the patient's body fat. The aim of the study was to compare the methods of assessing obesity in children and adolescents using the following indicators: BMI, WHR, WtHR, and FMI and to determine the consistency of the results obtained with them. Material and methods:The study included 195 children aged 11-18 years, from whom the following data were collected: height, weight, waist circumference, and percentage of body fat. The calculated indices (BMI, WHR, WtHR, FMI), expressed in SDS, were compared using the Bland-Altman test, Passing-Bablok regression, and the slope chart. Results: The fewest diagnoses of obesity were shown by FMI SDS (15.9%) and the highest by WHR SDS (28.7%). WHR SDS showed the least consistent results with BMI SDS. Significant statistical differences were found between BMI SDS and both FMI SDS and WtHR SDS. Conclusions: BMI, as the most acceptable obesity indicator, can be used as a screening method for assessing obesity. However, patients with boundary BMI values should be examined more precisely, using more than one index. FMI is recommended.

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Usefulness of the metabolic syndrome diagnosis in obese children in clinical practice

Cited by 5 publications

References 24 publications

Correlation of anthropometric measurements with body mass index and estimation of the proportion of metabolic syndrome among overweight and obese children: a hospital-based cross-sectional study

Correlation of anthropometric measurements with body mass index and estimation of the proportion of metabolic syndrome among overweight and obese children: a hospital-based cross-sectional study

Lipid metabolism and renal function markers in obese adolescents

Juvenile obesity in terms of various evaluation methods

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