Literature DB >> 30767821

An anthropometry-based equation of fat mass percentage as a valid discriminator of obesity.

Lilia V Castro-Porras1, Mario E Rojas-Russell2, Javier Villanueva-Sánchez3, Malaquías López-Cervantes1.   

Abstract

OBJECTIVE: To 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.
DESIGN: Cross-sectional study.
SETTING: Mexican adults.ParticipantsAdults (n 275; 181 women) aged 20-63 years with BMI between 17·4 and 42·4 kg/m2.
RESULTS: Thirty-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.
CONCLUSIONS: The 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.

Entities:  

Keywords:  BMI; Body composition; Discriminant analysis; Fat mass; Obesity; Prediction equations

Mesh:

Year:  2019        PMID: 30767821     DOI: 10.1017/S1368980018004044

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.022


  1 in total

1.  A Comparison of Equation Córdoba for Estimation of Body Fat (ECORE-BF) with Other Prediction Equations.

Authors:  Rafael Molina-Luque; Aina M Yañez; Miquel Bennasar-Veny; Manuel Romero-Saldaña; Guillermo Molina-Recio; Ángel-Arturo López-González
Journal:  Int J Environ Res Public Health       Date:  2020-10-29       Impact factor: 3.390

  1 in total

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