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Vol. 5 Núm. 1 (2025): Volume 5, Issue 1, Year 2025

Articles

Agreement between Body Fat Estimation Methods: From Durnin and Womersley Equation to Bioimpedance

  • Luisina Andrea Capone,
  • María Victoria Muscia,
  • Diego Nicolás Messina
Luisina Andrea Capone
Universidad Juan Agustín Maza, Facultad de Ciencias de la Nutrición, Acceso Este Lateral Sur 2245, Guaymallén (5519), Mendoza, Argentina
María Victoria Muscia
Universidad Juan Agustín Maza, Facultad de Ciencias de la Nutrición, Acceso Este Lateral Sur 2245, Guaymallén (5519), Mendoza, Argentina
Diego Nicolás Messina
Universidad Juan Agustín Maza, Facultad de Ciencias de la Nutrición, Acceso Este Lateral Sur 2245, Guaymallén (5519), Mendoza, Argentina
PDF (English)
DOI: https://doi.org/10.34256/ijk25112

Publicado 18-04-2025

Palabras clave

  • Antropometría,
  • Bioimpedancia eléctrica,
  • Composición corporal,
  • Circunferencia de cintura,
  • Circunferencia de cadera

Cómo citar

Capone, L. A., Muscia, M. V., & Nicolás Messina, D. (2025). Agreement between Body Fat Estimation Methods: From Durnin and Womersley Equation to Bioimpedance. La Revista Internacional De Cineantropometría, 5(1), 121–131. https://doi.org/10.34256/ijk25112

Derechos de autor 2025 Luisina Andrea Capone, María Victoria Muscia, Diego Nicolás Messina

Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.

Dimensions

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Europe PMC

Resumen

Introducción: La ecuación de Durnin-Womersley (DWe) para estimación de grasa corporal (%BF) y la bioimpedancia eléctrica (BIA) generalmente arrojan resultados similares, pero en ciertos casos las diferencias son llamativas, lo cual podría estar relacionado con la distribución de la grasa en algunas personas. El objetivo del presente trabajo fue analizar la concordancia entre ambos métodos e indagar su relación con la distribución de la masa grasa. Métodos: Se analizó una muestra de 326 individuos (201 mujeres y 125 hombres), con edades entre 18 y 74 años. Se determinó su %BF mediante DWe y BIA, utilizando una balanza Tanita RD545. Se midió su talla y circunferencias de cintura y cadera. Se analizaron las diferencias absolutas (DWe-BIA) entre métodos mediante correlación lineal simple, análisis de Bland-Altman y pruebas de chi-cuadrado con el programa GraphPad Prism 8. Resultados: Existe una alta concordancia entre métodos; el análisis de Bland-Altman mostró un sesgo medio de -1,545 puntos (-10,58 a 7,49), con una mayor proporción de casos en los que DWe subestima el %BF calculado por BIA (aproximadamente 2/3 de los casos). A mayor el valor obtenido por BIA, mayor subestimación de DWe. No se encontró asociación entre la talla y las diferencias DWe-BIA. Una mayor edad se asoció con mayor probabilidad de sobreestimación por parte de DWe. Mayores valores de cintura, cadera y los índices cintura/talla y cadera/talla se relacionaron con una mayor probabilidad de subestimación del %BF por parte de la DWe. Conclusiones: La DWe tiende a subestimar el %BF en relación al estimado mediante BIA, a medida que aumenta este último. Por otra parte, un incremento en las circunferencias de cintura y cadera también aumenta la probabilidad de que esta ecuación subestime el %BF.

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Citas

  1. Aragon, A. A., Schoenfeld, B. J., Wildman, R., Kleiner, S., VanDusseldorp, T., Taylor, L., Earnest, C.P., Arciero, P. J., Wilborn, C., Kalman, D.S., Stout, J. R., Willoughby, D. S., Campbell, B., Arent, S. M., Bannock, L., Smith-Ryan, A. E., & Antonio, J. (2017). International society of sports nutrition position stand: diets and body composition. Journal of the International Society of Sports Nutrition, 14: 16. https://doi.org/10.1186/s12970-017-0174-y
  2. Arroyo, M., Freire, M., Ansotegui, L., Rocandio, A.M. (2010). Intraobserver error associated with anthropometric measurements made by dietitians. Nutricion hospitalaria, 25(6): 1053–1056.
  3. Bennouar, S., Bachir Cherif, A., Hani, H.M., Kerrouche, A., Abdi, S. (2023). Prediction of body fat percentage: Development and validation of new anthropometric equations. Clinical nutrition ESPEN, 57: 510–518. https://doi.org/10.1016/j.clnesp.2023.08.002
  4. Bland, J.M., Altman, D.G. (1986). Statistical methods for assessing agreement between two methods of clinical measurement. Lancet, 1(8476): 307–310. https://doi.org/10.1016/S0140-6736(86)90837-8
  5. Blew, R.M., Sardinha, L.B., Milliken, L.A., Teixeira, P.J., Going, S.B., Ferreira, D.L., Harris, M.M., Houtkooper, L.B., Lohman, T.G. (2002). Assessing the validity of body mass index standards in early postmenopausal women. Obesity research, 10(8): 799–808. https://doi.org/10.1038/oby.2002.108
  6. Cedillo, Y.E., Knight, R.O., Darnell, B., Fernandez, J.R., Moellering, D.R. (2022). Body fat percentage assessment using skinfold thickness agrees with measures obtained by DXA scan in African American and Caucasian American women. Nutrition research, 105: 154–162. https://doi.org/10.1016/j.nutres.2022.07.005
  7. Davidson, L.E., Wang, J., Thornton, J.C., Kaleem, Z., Silva-Palacios, F., Pierson, R.N., Heymsfield, S.B., Gallagher, D. (2011). Predicting fat percent by skinfolds in racial groups: Durnin and Womersley revisited. Medicine and science in sports and exercise, 43(3): 542–549. https://doi.org/10.1249/MSS.0b013e3181ef3f07
  8. Durnin, J.V., Womersley, J. (1974). Body fat assessed from total body density and its estimation from skinfold thickness: measurements on 481 men and women aged from 16 to 72 years. The British journal of nutrition, 32(1): 77–97. https://doi.org/10.1079/bjn19740060
  9. Escamilla, R.F., Yamashiro, K., Asuncion, R., MacLean, D., Thompson, I.S., McKeough, M. (2024). Comparison of four quick and reliable methods of assessing body fat appropriate for clinical settings among young, middle-age, and older healthy male and female adults. Journal of physical therapy science, 36(9): 518–525. https://doi.org/10.1589/jpts.36.518
  10. Esparza-Ros F, Vaquero-Cristóbal R (2023). Antropometría: Fundamentos para la aplicación e interpretación, McGraw Hill. Spain
  11. Fogelholm, M., van Marken Lichtenbelt, W. (1997). Comparison of body composition methods: a literature analysis. European journal of clinical nutrition, 51(8): 495–503. https://doi.org/10.1038/sj.ejcn.1600448
  12. Garcia, A.L., Wagner, K., Hothorn, T., Koebnick, C., Zunft, H.J., Trippo, U. (2005). Improved prediction of body fat by measuring skinfold thickness, circumferences, and bone breadths. Obesity research, 13(3): 626–634. https://doi.org/10.1038/oby.2005.67
  13. Gordon, C.C., Bradtmiller, B. (1992). Interobserver error in a large scale anthropometric survey. American journal of human biology : the official journal of the Human Biology Council, 4(2): 253–263. https://doi.org/10.1002/ajhb.1310040210
  14. Heymsfield, S.B., Strauss, B.J.G. (2022). The making of a classic: the 1974 Durnin-Womersley body composition paper. The British journal of nutrition, 127(1): 87–91. https://doi.org/10.1017/S0007114521003950
  15. Kok, P., Seidell, J.C., Meinders, A.E. (2004). De waarde en de beperkingen van de 'body mass index' (BMI) voor het bepalen van het gezondheidsrisico van overgewicht en obesitas [The value and limitations of the body mass index (BMI) in the assessment of the health risks of overweight and obesity]. Nederlands tijdschrift voor geneeskunde, 148(48): 2379–2382.
  16. Kouchi, M., Mochimaru, M., Tsuzuki, K., Yokoi, T. (1999). Interobserver errors in anthropometry. Journal of human ergology, 28(1-2): 15–24.
  17. Lee, G., Chang, J., Hwang, S.S., Son, J.S., Park, S.M. (2021). Development and validation of prediction equations for the assessment of muscle or fat mass using anthropometric measurements, serum creatinine level, and lifestyle factors among Korean adults. Nutrition research and practice, 15(1): 95–105. https://doi.org/10.4162/nrp.2021.15.1.95
  18. Lukaski, H.C., Johnson, P.E., Bolonchuk, W.W., Lykken, G.I. (1985). Assessment of fat-free mass using bioelectrical impedance measurements of the human body. The American journal of clinical nutrition, 41(4): 810–817. https://doi.org/10.1093/ajcn/41.4.810
  19. Marin-Jimenez, N., Cruz-Leon, C., Sanchez-Oliva, D., Jimenez-Iglesias, J., Caraballo, I., Padilla-Moledo, C., Cadenas-Sanchez, C., Cuenca-Garcia, M., Castro-Piñero, J. (2022). Criterion-Related Validity of Field-Based Methods and Equations for Body Composition Estimation in Adults: A Systematic Review. Current obesity reports, 11(4): 336–349. https://doi.org/10.1007/s13679-022-00488-8
  20. Marra, M., Sammarco, R., De Lorenzo, A., Iellamo, F., Siervo, M., Pietrobelli, A., Donini, L. M., Santarpia, L., Cataldi, M., Pasanisi, F., Contaldo, F. (2019). Assessment of Body Composition in Health and Disease Using Bioelectrical Impedance Analysis (BIA) and Dual Energy X-Ray Absorptiometry (DXA): A Critical Overview. Contrast media & molecular imaging, 2019: 3548284. https://doi.org/10.1155/2019/3548284
  21. Mecherques-Carini, M., Albaladejo-Saura, M., Esparza-Ros, F., Baglietto, N., & Vaquero-Cristóbal, R. (2025). Validity between dual-energy x-ray absorptiometry and bioelectrical impedance for segmental fat analysis and a novel low-cost model developed using anthropometry in young adults. Journal of translational medicine, 23(1): 40. https://doi.org/10.1186/s12967-024-06062-1
  22. Mecherques-Carini, M., Albaladejo-Saura, M., Vaquero-Cristóbal, R., Baglietto, N., & Esparza-Ros, F. (2024). Validity and agreement between dual-energy X-ray absorptiometry, anthropometry and bioelectrical impedance in the estimation of fat mass in young adults. Frontiers in nutrition, 11: 1421950. https://doi.org/10.3389/fnut.2024.1421950
  23. Mecherques-Carini, M., Esparza-Ros, F., Albaladejo-Saura, M., Vaquero-Cristóbal, R. (2022). Agreement and Differences between Fat Estimation Formulas Using Kinanthropometry in a Physically Active Population. Applied Sciences, 12(24): 13043. https://doi.org/10.3390/app122413043
  24. Mehra, A., Starkoff, B.E., Nickerson, B.S. (2025). The evolution of bioimpedance analysis: From traditional methods to wearable technology. Nutrition (Burbank, Los Angeles County, Calif.), 129: 112601. https://doi.org/10.1016/j.nut.2024.112601
  25. Messina, D.N. (2024). Estimation of Arm Fat Percentage: from Segmental Bioimpedance to Anthropometry. International Journal of Kinanthropometry, 4(1), 24–31. https://doi.org/10.34256/ijk2414
  26. Orsso, C.E., Gonzalez, M.C., Maisch, M.J., Haqq, A.M., Prado, C.M. (2022). Using bioelectrical impedance analysis in children and adolescents: Pressing issues. European journal of clinical nutrition, 76(5): 659–665. https://doi.org/10.1038/s41430-021-01018-w
  27. Reinert, B.L., Pohlman, R., Hartzler, L. (2012). Correlation of Air Displacement Plethysmography with Alternative Body Fat Measurement Techniques in Men and Women. International journal of exercise science, 5(4): 367–378. https://doi.org/10.70252/IKWZ5306
  28. Silva, A.M., Campa, F., Stagi, S., Gobbo, L.A., Buffa, R., Toselli, S., Silva, D.A.S., Gonçalves, E.M., Langer, R.D., Guerra-Júnior, G., Machado, D.R.L., Kondo, E., Sagayama, H., Omi, N., Yamada, Y., Yoshida, T., Fukuda, W., Gonzalez, M.C., Orlandi, S. P., Koury, J.C., Moro, T., Paoli, A., Kruger, S., Schutte, A.E., Andreolli, A., Earthman, C.P., Fuchs-Tarlovsky, V., Irurtia, A., Castizo-Olier, J., Mascherini, G., Petri, C., Busert, L.K., Cortina-Borja, M., Bailey, J., Tausanovitch, Z., Lelijveld, N., Ali Ghazzawi, H., Amawi, A.T., Tinsley, G.,. Kangas, S.T., Salpéteur, C., Vázquez-Vázquez, A., Fewtrell, M., Ceolin, C., Sergi, G., Ward, L.C., Heitmann, B.L., Fernandes da Costa, R., Vicente-Rodriguez, G., Micheletti Cremasco, M., Moroni, A., Shepherd, J., Moon, J., Knaan, T., Müller, M.J., Braun, W., García‐Almeida, J.M., Palmeira, A.L., Santos, I., Larsen, S.C., Zhang, X., Speakman, J.R., Plank, Boyd, L.D., Swinburn, A., Thaddeus Ssensamba, J., Shiose, K., Cyrino, E.S., Bosy-Westphal, A., Heymsfield, S.B., Lukaski, H., Sardinha, L.B., Wells J.C. Marini, E. (2023). The bioelectrical impedance analysis (BIA) international database: aims, scope, and call for data. European journal of clinical nutrition, 77(12): 1143–1150. https://doi.org/10.1038/s41430-023-01310-x
  29. Silva, A.M., Silva, T.R., Júdice, P.B., Rosa, G.B., Bernardino, A.V., Magalhães, J.P., Correia, I.R., Hetherington-Rauth, M., Sardinha, L.B. (2025). Regional fat mass estimation using bioelectrical impedance analysis in healthy adults. The British journal of nutrition, 1: 22. Advance online publication. https://doi.org/10.1017/S0007114525000510
  30. Singhal, N., Siddhu, A. (2011). Durnin and Womersley revisited: need for Bland-Altman plots. Medicine and science in sports and exercise, 43(8): 1598–1599. https://doi.org/10.1249/MSS.0b013e318220a122
  31. Sleiman, R., Abdelkader, W., AlTannir, D. (2024). Assessing the Body Composition of "Picky Eaters" Using Body Impedance Analysis: An Experience From a Tertiary Care Center. Cureus, 16(5): e60538. https://doi.org/10.7759/cureus.60538
  32. Smolik, R., Gaweł, M., Kliszczyk, D., Sasin, N., Szewczyk, K., Górnicka, M. (2025). Comparative Analysis of Body Composition Results Obtained by Air Displacement Plethysmography (ADP) and Bioelectrical Impedance Analysis (BIA) in Adults. Applied Sciences, 15(7): 3480. https://doi.org/10.3390/app15073480
  33. Swan, P.D., McConnell, K.E. (1999). Anthropometry and bioelectrical impedance inconsistently predicts fatness in women with regional adiposity. Medicine and science in sports and exercise, 31(7): 1068–1075. https://doi.org/10.1097/00005768-199907000-00023
  34. Sweatt, K., Garvey, W.T., Martins, C. (2024). Strengths and Limitations of BMI in the Diagnosis of Obesity: What is the Path Forward?. Current obesity reports, 13(3): 584–595. https://doi.org/10.1007/s13679-024-00580-1
  35. Vaquero-Cristóbal, R. (2023). Assessing fat mass from a body composition perspective: a critical review. Cultura, Ciencia Y Deporte, 18(56): https://doi.org/10.12800/ccd.v18i56.2033
  36. Vaquero-Cristóbal, R., Albaladejo-Saura, M., Luna-Badachi, A.E., Esparza-Ros, F. (2020). Differences in Fat Mass Estimation Formulas in Physically Active Adult Population and Relationship with Sums of Skinfolds. International journal of environmental research and public health, 17(21): 7777. https://doi.org/10.3390/ijerph17217777
  37. Wu, Y., Li, D., Vermund, S.H. (2024). Advantages and Limitations of the Body Mass Index (BMI) to Assess Adult Obesity. International journal of environmental research and public health, 21(6): 757. https://doi.org/10.3390/ijerph21060757