Development and cross-validation of predictive equations for fat-free mass estimation by bioelectrical impedance analysis in Brazilian subjects with overweight and obesity
IntroductionObesity is a public health problem worldwide, and body composition assessment is a very important diagnostic tool. Bioelectrical Impedance Analysis (BIA) is a fast, non-invasive, relatively low-cost, and user-friendly technique; however, to obtain greater validity of the estimates, the p...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Nutrition |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnut.2025.1499752/full |
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| author | Kalina Veruska Da Silva Bezerra Masset Analiza M. Silva Analiza M. Silva Gerson Ferrari Gerson Ferrari Breno Guilherme De Araújo Tinoco Cabral Paulo Moreira Silva Dantas Roberto Fernandes Da Costa |
| author_facet | Kalina Veruska Da Silva Bezerra Masset Analiza M. Silva Analiza M. Silva Gerson Ferrari Gerson Ferrari Breno Guilherme De Araújo Tinoco Cabral Paulo Moreira Silva Dantas Roberto Fernandes Da Costa |
| author_sort | Kalina Veruska Da Silva Bezerra Masset |
| collection | DOAJ |
| description | IntroductionObesity is a public health problem worldwide, and body composition assessment is a very important diagnostic tool. Bioelectrical Impedance Analysis (BIA) is a fast, non-invasive, relatively low-cost, and user-friendly technique; however, to obtain greater validity of the estimates, the predictive equations used must be population specific. Thus, the objectives of this study were: (1) to test the validity of four BIA equations used for fat-free mass (FFM) estimation and one model for fat mass (FM) estimation in adults with overweight or obesity; (2) develop and cross-validate new equations to estimate FFM to adults with overweight or obesity, and specific for those with obesity.MethodsThe non-probabilistic sample included 269 individuals, 53.2% with overweight and 46.8% with obesity, aged 18–79 years, randomly divided into two groups: development (n = 178) and cross-validation (n = 91), stratified by sex and classification as overweight or obese. The criterion technique was dual-energy-x-ray absorptiometry (DXA), whereas a tetrapolar single-frequency BIA equipment was used as the alternative method. Paired t-test, multiple regression, concordance correlation coefficient, and Bland–Altman analysis were used.ResultsMost existing equations were not valid and new equations were derived: (1) for individuals with overweight or obesity: CCC = 0.982; r2 = 0.95; standard error of estimate (SEE) = 2.50 kg; limits of agreement (LOA) = -5.0 to 4.8; and (2) specific for individuals with obesity: CCC = 0.968; r2 = 0.94; SEE = 2.53 kg; LOA = -5.3 to 5.2. No FFM differences were observed between the new models and the reference method (p > 0.05).ConclusionThe new proposed models provide valid options to estimate FFM in an adult population with overweight/obesity. |
| format | Article |
| id | doaj-art-2e035279112d4357aa2b0605d97add75 |
| institution | Kabale University |
| issn | 2296-861X |
| language | English |
| publishDate | 2025-01-01 |
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| series | Frontiers in Nutrition |
| spelling | doaj-art-2e035279112d4357aa2b0605d97add752025-01-20T05:23:46ZengFrontiers Media S.A.Frontiers in Nutrition2296-861X2025-01-011210.3389/fnut.2025.14997521499752Development and cross-validation of predictive equations for fat-free mass estimation by bioelectrical impedance analysis in Brazilian subjects with overweight and obesityKalina Veruska Da Silva Bezerra Masset0Analiza M. Silva1Analiza M. Silva2Gerson Ferrari3Gerson Ferrari4Breno Guilherme De Araújo Tinoco Cabral5Paulo Moreira Silva Dantas6Roberto Fernandes Da Costa7Post-graduate Program in Pharmaceutical Sciences, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, BrazilExercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Lisbon, PortugalDepartment of Movement Sciences and Sports Training, School of Sport Sciences, The University of Jordan, Amman, JordanEscuela de Ciencias de la Actividad Física, el Deporte y la Salud, Universidad de Santiago de Chile (USACH), Santiago, ChileFaculty of Health Sciences, Universidad Autónoma de Chile, Providencia, ChileDepartment of Physical Education, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, BrazilDepartment of Physical Education, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, BrazilFaculty of Health Sciences, Universidad Autónoma de Chile, Providencia, ChileIntroductionObesity is a public health problem worldwide, and body composition assessment is a very important diagnostic tool. Bioelectrical Impedance Analysis (BIA) is a fast, non-invasive, relatively low-cost, and user-friendly technique; however, to obtain greater validity of the estimates, the predictive equations used must be population specific. Thus, the objectives of this study were: (1) to test the validity of four BIA equations used for fat-free mass (FFM) estimation and one model for fat mass (FM) estimation in adults with overweight or obesity; (2) develop and cross-validate new equations to estimate FFM to adults with overweight or obesity, and specific for those with obesity.MethodsThe non-probabilistic sample included 269 individuals, 53.2% with overweight and 46.8% with obesity, aged 18–79 years, randomly divided into two groups: development (n = 178) and cross-validation (n = 91), stratified by sex and classification as overweight or obese. The criterion technique was dual-energy-x-ray absorptiometry (DXA), whereas a tetrapolar single-frequency BIA equipment was used as the alternative method. Paired t-test, multiple regression, concordance correlation coefficient, and Bland–Altman analysis were used.ResultsMost existing equations were not valid and new equations were derived: (1) for individuals with overweight or obesity: CCC = 0.982; r2 = 0.95; standard error of estimate (SEE) = 2.50 kg; limits of agreement (LOA) = -5.0 to 4.8; and (2) specific for individuals with obesity: CCC = 0.968; r2 = 0.94; SEE = 2.53 kg; LOA = -5.3 to 5.2. No FFM differences were observed between the new models and the reference method (p > 0.05).ConclusionThe new proposed models provide valid options to estimate FFM in an adult population with overweight/obesity.https://www.frontiersin.org/articles/10.3389/fnut.2025.1499752/fullbody compositionresistance indexabsorptiometryadultsmathematical models |
| spellingShingle | Kalina Veruska Da Silva Bezerra Masset Analiza M. Silva Analiza M. Silva Gerson Ferrari Gerson Ferrari Breno Guilherme De Araújo Tinoco Cabral Paulo Moreira Silva Dantas Roberto Fernandes Da Costa Development and cross-validation of predictive equations for fat-free mass estimation by bioelectrical impedance analysis in Brazilian subjects with overweight and obesity Frontiers in Nutrition body composition resistance index absorptiometry adults mathematical models |
| title | Development and cross-validation of predictive equations for fat-free mass estimation by bioelectrical impedance analysis in Brazilian subjects with overweight and obesity |
| title_full | Development and cross-validation of predictive equations for fat-free mass estimation by bioelectrical impedance analysis in Brazilian subjects with overweight and obesity |
| title_fullStr | Development and cross-validation of predictive equations for fat-free mass estimation by bioelectrical impedance analysis in Brazilian subjects with overweight and obesity |
| title_full_unstemmed | Development and cross-validation of predictive equations for fat-free mass estimation by bioelectrical impedance analysis in Brazilian subjects with overweight and obesity |
| title_short | Development and cross-validation of predictive equations for fat-free mass estimation by bioelectrical impedance analysis in Brazilian subjects with overweight and obesity |
| title_sort | development and cross validation of predictive equations for fat free mass estimation by bioelectrical impedance analysis in brazilian subjects with overweight and obesity |
| topic | body composition resistance index absorptiometry adults mathematical models |
| url | https://www.frontiersin.org/articles/10.3389/fnut.2025.1499752/full |
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