ArticlePublic health nutrition2019
Waist circumference, waist-to-height ratio and conicity index to evaluate android fat excess in Brazilian children.
Article in Public health nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Cardiometabolic risk factors in South American children: A systematic review and meta-analysis.PloS one · 2023Pooled it
- Optimal cut-off value of waist circumference-to-height ratio to predict central obesity in children and adolescents: A systematic review and meta-analysis of diagnostic studies.Frontiers in nutrition · 2022Pooled it
- Association between conicity index and osteoporosis/femoral bone mineral density in USA adults : a cross-sectional study based on evidence from the National Health and Nutrition Examination Survey (2005 to 2020).Bone & joint research · 2026Article
- Nonlinear association between age and verbal fluency and moderation by adiposity: cross-sectional evidence from the Look Up 8+ study.Frontiers in aging neuroscience · 2026Article
- Sociodemographic and Health Determinants of Adipose Tissue Distribution in a Local Community from Eastern Poland: A Cross-Sectional Study.Journal of clinical medicine · 2025Article
- Predictive performance of the waist-to-height ratio and the conicity index for diagnosing excess body fat in children.Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo · 2025Article
- Association between anthropometric indices and chronic kidney disease: Insights from NHANES 2009-2018.PloS one · 2025Article
- Community childhood obesity assessment in elementary school, anthropometric indices as screening tools: a community cross-sectional study in Indonesia.BMJ public health · 2024Article
- Waist-height ratio and body mass index as indicators of obesity and cardiometabolic risk in Korean children and adolescents.Annals of pediatric endocrinology & metabolism · 2024Article
- Family-Based WhatsApp Intervention to Promote Healthy Eating Behaviors Among Amazonian School Children: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2024Article
- Predictors of central and general obesity in Iranian preschool children: which anthropometric indices can be used as screening tools?BMC pediatrics · 2022Article
- Metabolic Derangement in Pediatric Patient with Obesity: The Role of Ketogenic Diet as Therapeutic Tool.Nutrients · 2021Review
- TAG-glucose (TyG) index in childhood: an estimate of cut-off points and the relation to cardiometabolic risk in 4- to 9-year-old children.Public health nutrition · 2021Article
- Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review.Frontiers in psychology · 2021Review
- Increased C-Reactive Protein in Brazilian Children: Association with Cardiometabolic Risk and Metabolic Syndrome Components (PASE Study).Cardiology research and practice · 2019Article
- Challenges in child and adolescent nutrition.Public health nutrition · 2019Article
- Association of preterm birth with poor metabolic outcomes in schoolchildren.Jornal de pediatriaArticle
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo evaluate the ability of anthropometric measurements to identify excess android fat and to propose cut-off points for excess central adiposity in children, according to age and sex.
designA cross-sectional study with children from a municipality of Minas Gerais, Brazil. Receiver-operating characteristic curve analyses were performed to evaluate waist circumference (WC), waist-to-height ratio (WHtR) and conicity index (C-index) in estimating excess android fat by dual energy X-ray absorptiometry (DXA).
settingViçosa, Minas Gerais, Brazil. SUBJECTS: Children aged 4-9 years (n 788).
resultsOverweight prevalence was 29·1 % and android fat percentage was higher among girls. All central fat measurements were able to discriminate excess android fat in the age groups evaluated, especially WC and WHtR, with cut-off points showing good sensitivity and specificity overall.
conclusionsBecause these methods are easy to obtain and inexpensive, it is possible to use WC, WHtR and C-index in population surveys to evaluate central obesity. The proposed cut-off points showed satisfactory values of sensitivity and specificity and can be used in epidemiological studies.
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