ArticlePublic health nutrition2019
An anthropometry-based equation of fat mass percentage as a valid discriminator of obesity.
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 7 papers.
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7 citing papers in PubMed, 9 citations in OpenAlex.
- Global diet quality score (GDQS) favorably affects blood pressure, serum lipids, lipid accumulation product and attenuates inflammation among obese individuals.Scientific reports · 2025Article
- Determining Body Composition-Based BMI Cut-Offs for Ethiopian Adults in Northwest Ethiopia: A Population-Based Cross-Sectional Study.Obesity science & practice · 2025Article
- Body composition-derived abdominal circumference, waist-to-hip ratio, and waist-to-height ratio cut-offs for Ethiopian adults in Northwest Ethiopia, 2023.Journal of health, population, and nutrition · 2024Article
- Function and expression of N-acetyltransferases 1 and 2 are altered in lymphocytes in type 2 diabetes and obesity.Biochemistry and biophysics reports · 2024Article
- An automated surgical decision-making framework for partial or radical nephrectomy based on 3D-CT multi-level anatomical features in renal cell carcinoma.European radiology · 2023Article
- Increased Adiposity Appraised with CUN-BAE Is Highly Predictive of Incident Hypertension. The SUN Project.Nutrients · 2021Article
- A Comparison of Equation Córdoba for Estimation of Body Fat (ECORE-BF) with Other Prediction Equations.International journal of environmental research and public health · 2020Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo develop a new predictive equation for fat mass percentage (%FM) based on anthropometric measurements and to assess its ability to discriminate between obese and non-obese individuals.
designCross-sectional study.
settingMexican adults.ParticipantsAdults (n 275; 181 women) aged 20-63 years with BMI between 17·4 and 42·4 kg/m2.
resultsThirty-seven per cent of our sample was obese using %FM measured by air-displacement plethysmography (BOD POD®; Life Measurement Instruments). The fat mass was computed from the difference between weight and fat-free mass (FFM). FFM was estimated using an equation obtained previously in the study from weight, height and sex of the individuals. The %FM estimated from the obtained FFM showed a sensitivity of 90·3 (95 % CI 86·8, 93·8) % and a specificity of 58·0 (95 % CI 52·1, 63·8) % in the diagnosis of obesity. Ninety-three per cent of participants with obesity and 65 % of participants without obesity were correctly classified.
conclusionsThe anthropometry-based equation obtained in the present study could be used as a screening tool in clinical and epidemiological studies not only to estimate the %FM, but also to discriminate the obese condition in populations with similar characteristics to the participant sample.
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