ArticleHealthcare (Basel, Switzerland)2022
Value of Adding Bioelectrical Impedance Analysis to Anthropometric Indices in the Diagnosis of Metabolic Syndrome in 10-16 Years Old Schoolgirls.
Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Association of anthropometry indices and metabolic syndrome in Iranians: a cross-sectional study of the Fasa adult cohort study.BMJ open · 2025Article
- Factors beyond Body Mass Index Associated with Cardiometabolic Risk among Children with Severe Obesity.Journal of clinical medicine · 2024Article
- Association of Glutathione Peroxidase 3 (GPx3) and miR-196a with Carbohydrate Metabolism Disorders in the Elderly.International journal of molecular sciences · 2024Article
- Article
- Analysis of Morphological Parameters and Body Composition in Adolescents with and without Intellectual Disability.International journal of environmental research and public health · 2023Article
- The Analysis of the Correlations between BMI and Body Composition among Children with and without Intellectual Disability.Children (Basel, Switzerland) · 2022Article
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Authors and funding
6 authors.
Funding
Abstract
The use of bioelectrical impedance analysis (BIA) in clinical settings is common. However, the value of BIA-based parameters in diagnosing metabolic syndrome (MetS) in children is under-investigated. Herein, we aimed to study the usefulness of BIA-indices in the diagnoses of MetS in 6-10-year-old girls. Therefore, a diagnostic accuracy case-control study was conducted, which included 75 girls aged 10-16 years, divided into three age-matched groups (normal, None-MetS, and MetS). Anthropometric indices, BIA parameters (including fat-free mass (FFM), body fat percent (BFP), and total body water (TBW)), blood pressure (BP), and blood samples were collected. Our main findings show that for girls in None-MetS and MetS groups, the waist circumference (WC) correlated positively with waist-hip ratio and mid-arm circumference (r = 0.58, 0.47, respectively), but not with BFP based on skinfold thickness (SFT), or mid-arm muscle area. WC was positively correlated with FFM and TBW, while high-density lipoprotein was inversely correlated with FFM. However, fasting blood glucose, triglycerides and BP showed no association with anthropometric measurements and BIA components. WC was the best indicator of MetS (AUC = 0.88, cut-off = 81.5 cm), followed by BMI (AUC = 0.84, cut-off = 26.9 kg/m
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Registered trials
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