ArticleJournal of clinical medicine2022
A Multivariate Analysis of "Metabolic Phenotype" Patterns in Children and Adolescents with Obesity for the Early Stratification of Patients at Risk of Metabolic Syndrome.
Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 21 citations in OpenAlex.
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- Diagnostic Accuracy of the Triglyceride-Glucose Derived Indices in Detecting Metabolic Syndrome in Pediatric Patients.Journal of obesity & metabolic syndrome · 2026Article
- Bridging the gap in obesity research: A consensus statement from the European Society for Clinical Investigation.European journal of clinical investigation · 2025Review
- A Tele-Coaching Pilot Study: An Innovative Approach to Enhance Motor Skills in Adolescents With Down Syndrome.Journal of applied research in intellectual disabilities : JARID · 2025Article
- Investigating the Incidence of Dyslipidemia among Brazilian Children and Adolescents Diagnosed with Type 1 Diabetes Mellitus: A Cross-Sectional Study.Diseases (Basel, Switzerland) · 2024Article
- The Influence of Body Fat and Lean Mass on HbA1c and Lipid Profile in Children and Adolescents with Type 1 Diabetes Mellitus.Diseases (Basel, Switzerland) · 2023Article
- Obesity, Inflammation, Growth, and Metabolism: Evolution of Understanding and Evolving Functions of Old and New Peptides.Journal of clinical medicine · 2023Article
- Thyroid Function and Metabolic Syndrome in Children and Adolescents with Neuromotor Disability.Children (Basel, Switzerland) · 2022Article
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
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Abstract
backgroundMetabolic syndrome (MS) is closely linked to obesity; however, not all individuals with obesity will develop obesity-related complications and a metabolically healthy obesity (MHO) group is also described.
objectiveTo perform a multivariate analysis (MVA) of the anthropometric and biochemical data in pediatric patients with obesity to reveal a "phenotype" predictive for MS.
methodsWe analyzed 528 children with obesity (OB) and 119 normal-weight pediatric patients (NW). Adiposity indices were recorded, and MS was detected. MVA was performed.
resultsAnalysis of the structure of correlation of the variables showed that the variables of waist circumference (WC), body mass index (BMI), and estimated fat mass (eFM) were positively correlated with each other as a whole. In addition, the variables of the triglycerides (TG), triglyceride-glucose (TyG) index, and visceral adiposity index were positively correlated with each other as a whole, although none were correlated with the variables of BMI z-score, waist-to-height ratio, WC, eFM, or weight. The variables that related to insulin resistance (IR) and dyslipidemia were crucial for the early stratification of patients at risk of MS.
conclusionsIndependently of body weight, IR, dyslipidemia, hypertriglyceridemia, and fat distribution seem to be the strongest MS risk factors. The early detection of and intervention in these modifiable risk factors are useful to protect children's health.
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