ArticleObesity facts2015
BMI or BIA: Is Body Mass Index or Body Fat Mass a Better Predictor of Cardiovascular Risk in Overweight or Obese Children and Adolescents? A German/Austrian/Swiss Multicenter APV Analysis of 3,327 Children and Adolescents.
Article in Obesity facts, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.
- Fat-free/lean body mass in children with insulin resistance or metabolic syndrome: a systematic review and meta-analysis.BMC pediatrics · 2022Pooled it
- Measuring bioelectric impedance outputs following coffee consumption in healthy adults using an 8-electrode segmental BIA device.Journal of the International Society of Sports Nutrition · 2025Trial
- Differential Effects of Stroke Stage and Age on Sarcopenia in Stroke Patients: A Cross-Sectional Study.Life (Basel, Switzerland) · 2026Article
- Optimizing Public Health Screening: Population-Specific BMI Thresholds for Targeted Body Composition Assessment in Hungary.Nutrients · 2026Article
- Higher Prevalence of Sarcopenia in Knee Osteoarthritis and Its Association with Femoral Intercondylar Cartilage Thickness and Functional Outcomes.Life (Basel, Switzerland) · 2025Article
- Is BMI Enough? Body Composition Profiles and Cardiometabolic Risk in Hmar Tribe of Northeast India.Journal of racial and ethnic health disparities · 2025Article
- Latent profiles of body composition indices and their associations with cardiovascular diseases, hypertension, and diabetes: results from the Fasa Adult Cohort study (FACS).Journal of health, population, and nutrition · 2025Observational
- Changes in Anthropometric Measurements, Body Composition, and Blood Pressure in 6-10-Year-Old Children with Overweight and Obesity in Szczecin During a Year-Long Intervention Program.Journal of clinical medicine · 2025Article
- Optimised Skeletal Muscle Mass as a Key Strategy for Obesity Management.Metabolites · 2025Review
- The Interplay between Dietary Habits and Glycemic Control in Type 1 Diabetes: A Comprehensive Prospective FGM Study.Life (Basel, Switzerland) · 2024Article
- The association of body composition and fat distribution with hypertension in community-dwelling older adults: the Bushehr Elderly Health (BEH) program.BMC public health · 2023Article
- Gender-specific predictive ability for the risk of hypertension incidence related to baseline level or trajectories of adiposity indices: a cohort study of functional community.International journal of obesity (2005) · 2022Article
- Indices of insulin resistance and adiposity can detect obesity-related morbidity in pediatrics.Saudi medical journal · 2022Article
- Anthropometric Indicators of Body Composition Associated With Lipid and Glycemic Profiles in Overweight Brazilian Children and Adolescents From 2008 to 2020.Frontiers in nutrition · 2022Article
- The comparison of percent body fat estimated by different anthropometrics to predict the incidence of hypertension.Journal of human hypertension · 2020Article
- Body fat percentage, obesity, and their relation to the incidental risk of hypertension.Journal of clinical hypertension (Greenwich, Conn.) · 2019Article
- Body composition and arterial stiffness in pediatric patients with chronic kidney disease.Pediatric nephrology (Berlin, Germany) · 2019Article
- Body fat indicators perform better than body mass index in identifying abnormal lipid profiles in boys but not in girls.Pediatric research · 2019Observational
- Adiposity measures and their validity in estimating risk of hypertension in South Asian children: a cross-sectional study.BMJ open · 2019Article
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Corrections and comments
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBody fat (BF) percentiles for German children and adolescents have recently been published. This study aims to evaluate the association between bioelectrical impedance analysis (BIA)-derived BF and cardiovascular risk factors and to investigate whether BF is better suited than BMI in children and adolescents.
methodsData of 3,327 children and adolescents (BMI > 90th percentile) were included. Spearman's correlation and receiver operating characteristics (ROCs) were applied determining the associations between BMI or BF and cardiovascular risk factors (hypertension, dyslipidemia, elevated liver enzymes, abnormal carbohydrate metabolism). Area under the curve (AUC) was calculated to predict cardiovascular risk factors.
resultsA significant association between both obesity indices and hypertension was present (all p < 0.0001), but the correlation with BMI was stronger (r = 0.22) compared to BF (r = 0.13). There were no differences between BMI and BF regarding their correlation with other cardiovascular risk factors. BF significantly predicted hypertension (AUC = 0.61), decreased HDL-cholesterol (AUC = 0.58), elevated LDL-cholesterol (AUC = 0.59), elevated liver enzymes (AUC = 0.61) (all p < 0.0001), and elevated triglycerides (AUC = 0.57, p < 0.05), but not abnormal carbohydrate metabolism (AUC = 0.54, p = 0.15). For the prediction of cardiovascular risk factors, no significant differences between BMI and BF were observed.
conclusionBIA-derived BF was not superior to BMI to predict cardiovascular risk factors in overweight or obese children and adolescents.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.