Diagnostic discordance between BMI and adiposity in physically active adults
DOI:
https://doi.org/10.47197/retos.v75.118279Keywords:
Adipose tissue, body composition, body mass index, exercise, obesityAbstract
Introduction: Body mass index is universally used to classify weight status, but its validity to reflect actual adiposity in populations performing regular physical exercise is questioned. It is critical to analyze its structural limitations against methods that discriminate body composition components.
Objective: The objective was to evaluate the diagnostic concordance and accuracy of body mass index versus body fat percentage, as well as to identify the factors associated with discordance in physically active adults.
Methodology: A quantitative cross-sectional study was conducted with 973 participants from a fitness center. The weight classification of the world health organization was compared against the fat percentage estimated by multi-frequency electrical bioimpedance according to the American Council on Exercise criteria, analyzing concordance using the kappa coefficient and logistic regression models.
Results: The results showed a practically null concordance between both methods, with a kappa coefficient of 0.03, and a sensitivity of barely 23.3% for body mass index to detect obesity. Diagnostic discordance affected 34.3% of the sample, with the advanced level of training experience, with an odds ratio of 21.47, being the main predictor of error due to muscle mass.
Discussion: The findings were contrasted with recent literature, confirming that the traditional anthropometric indicator generates false positives in subjects with muscular adaptations and false negatives in cases of hidden obesity with normal weight.
Conclusions: It is concluded that body mass index presents insufficient validity to evaluate active adults, making it imperative to transition towards direct body composition methods.
References
Aira, T., Kokko, S. P., Heinonen, O. J., Korpelainen, R., Kotkajuuri, J., Parkkari, J., Savonen, K., Toivo, K., Uusitalo, A., Valtonen, M., Villberg, J., Niemelä, O., Vähä-Ypyä, H., & Vasankari, T. (2023). Longi-tudinal physical activity patterns and the development of cardiometabolic risk factors during adolescence. Scandinavian Journal of Medicine & Science in Sports, 33(9), 1807–1820. https://doi.org/10.1111/sms.14415
Ayala-San Pedro, J. A., Avila-Salcedo, D. R., Martínez-Borja, L. M., & Castillo-Montufar, E. (2025). As-sessment of body mass index for obesity diagnosis in the Mexican population: A cross-sectional analysis. Obesities, 5(2), 34. https://doi.org/10.3390/obesities5020034
Bondareva, E. A., Parfenteva, O. I., Troshina, E. A., Ershova, E. V., Mazurina, N. V., Komshilova, K. A., Ku-lemin, N. A., & Ahmetov, I. (2024). Agreement between bioimpedance analysis and ultrasound scanning in body composition assessment. American Journal of Human Biology, 36(4), e24001. https://doi.org/10.1002/ajhb.24001
Buch, A., Ben-Yehuda, A., Rouach, V., Maier, A. B., Greenman, Y., Izkhakov, E., Stern, N., & Eldor, R. (2022). Validation of a multi-frequency bioelectrical impedance analysis device for the assess-ment of body composition in older adults with type 2 diabetes. Nutrition & Diabetes, 12(1), 45. https://doi.org/10.1038/s41387-022-00223-1
Buttar, K. K., Kacker, S., & Saboo, N. (2025). The association between cardiorespiratory fitness and obe-sity predictors in healthy young adults: An observational study. APIK Journal of Internal Medi-cine, 13(2), 133–138. https://doi.org/10.4103/ajim.ajim_43_24
Byker Shanks, C., Bruening, M., & Yaroch, A. L. (2024). BMI or not to BMI? Debating the value of body mass index as a measure of health in adults. The International Journal of Behavioral Nutrition and Physical Activity, 22(1), 23. https://doi.org/10.1186/s12966-025-01719-6
de Beukelaar, T. T., & Mantini, D. (2023). Monitoring resistance training in real time with wearable technology: Current applications and future directions. Bioengineering, 10(9), 1085. https://doi.org/10.3390/bioengineering10091085
Di Renzo, L., Itani, L., Gualtieri, P., Pellegrini, M., El Ghoch, M., & De Lorenzo, A. (2022). New BMI cut-off points for obesity in middle-aged and older adults in clinical nutrition settings in Italy: A cross-sectional study. Nutrients, 14(22), 4848. https://doi.org/10.3390/nu14224848
Doherty, C., Baldwin, M., Keogh, A., Caulfield, B., & Argent, R. (2024). Keeping pace with wearables: A living umbrella review of systematic reviews evaluating the accuracy of consumer wearable technologies in health measurement. Sports Medicine, 54(11), 2907–2926. https://doi.org/10.1007/s40279-024-02077-2
Ho, M.-H., Peng, C.-Y., Liao, Y., & Yen, H.-Y. (2024). Efficacy of a wearable activity tracker with step-by-step goal-setting on older adults’ physical activity and sarcopenia indicators: Clustered trial. Journal of Medical Internet Research, 26, e60183. https://doi.org/10.2196/60183
Horta-Gim, M. A., Rendón del Cid, P. A., Vega Orozco, S. I., Horta Gim, V. H., & Romero Pérez, E. M. (2025). Relación entre composición corporal y condición física en niños y adolescentes del no-roeste de México. Retos, 66, 1085–1093. https://doi.org/10.47197/retos.v66.113985
Huang, C., Lopes, A., & Britton, A. (2025). Which adiposity index is best? Comparison of five indicators and their ability to identify type 2 diabetes risk in a population study. Diabetes Research and Clinical Practice, 225, Article 112268. https://doi.org/10.1016/j.diabres.2025.112268
Huang, T., Feng, H., Xie, Z., Wang, Y., Wang, Q., & Wang, Z. (2025). Effects of exercise on body fat per-centage and cardiorespiratory fitness in sedentary adults: A systematic review and network meta-analysis. Frontiers in Public Health, 13, Article 1624562. https://doi.org/10.3389/fpubh.2025.1624562
Kim, Y., Beom, J., Lee, S. Y., Jang, H. C., Kim, K., Kim, M., Shim, G. Y., Won, C. W., & Lim, J.-Y. (2024). Com-parison of bioelectrical impedance analysis and dual-energy X-ray absorptiometry for the diag-nosis of sarcopenia in the older adults with metabolic syndrome: Equipment-specific equation development. Aging Clinical and Experimental Research, 37(1), 12. https://doi.org/10.1007/s40520-024-02898-1
Kobel, S., Kirsten, J., & Kelso, A. (2022). Anthropometry – Assessment of body composition. Deutsche Zeitschrift für Sportmedizin, 73(3), 106–111. https://doi.org/10.5960/dzsm.2022.527
Lahav, Y., Kfir, A., & Gepner, Y. (2023). The paradox of obesity with normal weight: A cross-sectional study. Frontiers in Nutrition, 10, Article 1173488. https://doi.org/10.3389/fnut.2023.1173488
Li, H., Konja, D., Wang, L., & Wang, Y. (2022). Sex differences in adiposity and cardiovascular diseases. International Journal of Molecular Sciences, 23(16), 9338. https://doi.org/10.3390/ijms23169338
Li, M., Gao, Q., & Yu, T. (2023). Kappa statistic considerations in evaluating inter-rater reliability be-tween two raters: Which, when and context matters. BMC Cancer, 23(1), 799. https://doi.org/10.1186/s12885-023-11325-z
Lisboa de Serpa, G., Carneiro de Oliveira, S. D., Nogueira Godinho, W. D., & Carneiro Loureiro, A. C. (2025). Comparação entre treinamento periodizado e não periodizado na aptidão física: Uma revisão guarda-chuva. Retos, 70, 882–892. https://doi.org/10.47197/retos.v70.114374
Looney, D. P., Schafer, E. A., Chapman, C. L., Pryor, R. R., Potter, A. W., Roberts, B. M., & Friedl, K. E. (2024). Reliability, biological variability, and accuracy of multi-frequency bioelectrical imped-ance analysis for measuring body composition components. Frontiers in Nutrition, 11, 1491931. https://doi.org/10.3389/fnut.2024.1491931
Milanese, C., Itani, L., Cavedon, V., & El Ghoch, M. (2025). The WHO BMI system misclassifies weight status in adults from the general population in north Italy: A DXA-based assessment study (18-98 years). Nutrients, 17(13), 2162. https://doi.org/10.3390/nu17132162
Mohajan, D., & Mohajan, H. K. (2023). A study on body fat percentage for physical fitness and preven-tion of obesity: A two compartment model. Journal of Innovations in Medical Research, 2(4), 1–10. https://doi.org/10.56397/jimr/2023.04.01
Mühlen, J. M., Stang, J., Lykke Skovgaard, E., Judice, P. B., Molina-Garcia, P., Johnston, W., Sardinha, L. B., Ortega, F. B., Caulfield, B., Bloch, W., Cheng, S., Ekelund, U., Brønd, J. C., Grøntved, A., & Schu-mann, M. (2021). Recommendations for determining the validity of consumer wearable heart rate devices: Expert statement and checklist of the INTERLIVE Network. British Journal of Sports Medicine, 55(14), 767–779. https://doi.org/10.1136/bjsports-2020-103148
Mun, S., Park, K., Kim, J.-K., Kim, J., & Lee, S. (2024). Assessment of heart rate measurements by com-mercial wearable fitness trackers for early identification of metabolic syndrome risk. Scientific Reports, 14(1), 23865. https://doi.org/10.1038/s41598-024-74619-7
Muñoz Aristizábal, M. A., & Vidarte Claros, J. A. (2025). Baja disponibilidad energética en atletas y su relación con la composición corporal: Revisión de alcance. Retos, 68, 1272–1296. https://doi.org/10.47197/retos.v68.115402
Nazaret, A., Tonekaboni, S., Darnell, G., Ren, S. Y., Sapiro, G., & Miller, A. C. (2023). Modeling personalized heart rate response to exercise and environmental factors with wearables data. NPJ Digital Medicine, 6(1), 207. https://doi.org/10.1038/s41746-023-00926-4
Nielsen, R. L., Andersen, A. L., Kallemose, T., Damgaard, M., Bornæs, O., Juul-Larsen, H. G., Strejby Christensen, L. W., Jawad, B. N., Andersen, O., Rasmussen, H. H., Munk, T., Lund, T. M., & Houlind, M. B. (2023). Evaluation of multi-frequency bioelectrical impedance analysis against dual-energy X-ray absorptiometry for estimation of low muscle mass in older hospitalized patients. Journal of Clinical Medicine, 13(1), 196. https://doi.org/10.3390/jcm13010196
Parfenteva, O. I., Kulemin, N. A., Bondareva, E. A., & Ahmetov, I. I. (2024). Prevalence and predictors of normal-weight obesity among women. Nutrients, 16(16), 2579. https://doi.org/10.3390/nu16162579
Potter, A. W., Chin, G. C., Looney, D. P., & Friedl, K. E. (2025). Defining overweight and obesity by per-cent body fat instead of body mass index. The Journal of Clinical Endocrinology & Metabolism, 110(4), e1103–e1107. https://doi.org/10.1210/clinem/dgae341
Potter, A. W., Ward, L. C., Chapman, C. L., Tharion, W. J., Looney, D. P., & Friedl, K. E. (2025). Real-world assessment of multi-frequency bioelectrical impedance analysis (MFBIA) for measuring body composition in healthy physically active populations. European Journal of Clinical Nutrition. https://doi.org/10.1038/s41430-025-01664-4
Ramírez-Ortega, C., Mondragón-Lima, Á., Rocha-Aguado, A., Muñiz-Alvarado, M. L., & Médina-Gómez, O. S. (2025). Nivel de concordancia entre índice de masa corporal (IMC) por fórmula Quetelet y porcentaje de grasa corporal por bioimpedancia eléctrica para determinar obesidad. Arandu UTIC, 12(3), 2457–2470. https://doi.org/10.69639/arandu.v12i3.1474
Rosado Álvarez, M. M., Valle Flores, J. A., Del Pezo Izaguirre, E., & Riofrío Crúz, M. (2025). Composición corporal, riesgo cardiometabólico y salud percibida en practicantes de CrossFit. Retos, 73, 1133–1144. https://doi.org/10.47197/retos.v73.117870
Rubino, F., Cummings, D. E., Eckel, R. H., Cohen, R. V., Wilding, J. P. H., Brown, W. A., Stanford, F. C., Bat-terham, R. L., Farooqi, I. S., Farpour-Lambert, N. J., le Roux, C. W., Sattar, N., Baur, L. A., Morrison, K. M., Misra, A., Kadowaki, T., Tham, K. W., Sumithran, P., Garvey, W. T., … Mingrone, G. (2025). Definition and diagnostic criteria of clinical obesity. The Lancet Diabetes & Endocrinology, 13(3), 221–262. https://doi.org/10.1016/S2213-8587(24)00316-4
Suthahar, N., Lau, E. S., & Savarese, G. (2025). Relative fat mass: Refining adiposity measurement in the era beyond body mass index. Current Heart Failure Reports, 22(1), 22. https://doi.org/10.1007/s11897-025-00709-w
Tinsley, G. M., Rodriguez, C., Florez, C. M., Siedler, M. R., Tinoco, E., McCarthy, C., & Heymsfield, S. B. (2024). Smartphone three-dimensional imaging for body composition assessment using non-rigid avatar reconstruction. Frontiers in Medicine, 11, Article 1485450. https://doi.org/10.3389/fmed.2024.1485450
Valenzuela Contreras, L., Villaseca-Vicuña, R., Segueida-Lorca, A., Morales Ríos, C., Osorio Aud, J., & Ba-rrera Díaz, J. (2024). Comparación de la composición corporal y rendimiento físico según sexo y su relación entre variables en estudiantes universitarios de educación física de Santiago de Chile. Retos, 56, 114–121. https://doi.org/10.47197/retos.v56.103220
Westerheim, E., Øhman, E. A., Fossli, M., Winkvist, A., Henriksen, H. B., & Brekke, H. K. (2025). Relative validity of bioelectrical impedance analysis in estimating body composition in women with overweight and obesity 2 weeks and 6 months postpartum. Food & Nutrition Research, 69, Ar-ticle 10869. https://doi.org/10.29219/fnr.v69.10869
Wu, R., Li, M., Liao, Y., Zhang, J., Xu, C., & Yan, X. (2025). Prevalence and characteristics of sarcopenic obesity and normal weight obesity in Chinese women: A cross-sectional study based on body fat percentage. BMC Public Health, 25(1), 2817. https://doi.org/10.1186/s12889-025-24086-0
Wu, Y., Li, D., & Vermund, S. H. (2024). Advantages and limitations of the body mass index (BMI) to as-sess adult obesity. International Journal of Environmental Research and Public Health, 21(6), 757. https://doi.org/10.3390/ijerph21060757
Zaplatosch, M. E., Meireles, J. F., Amason, J. S., Dabeer, S., Kliszczewicz, B. M., Mangine, G. T., Barry, V. G., Gower, B. A., & Ingram, K. H. (2025). Validity of body composition estimates in women assessed by a multifrequency bioelectrical impedance device. Sensors, 25(16), 5037. https://doi.org/10.3390/s25165037
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Copyright (c) 2025 José Antonio Valle Flores, María Magdalena Rosado Álvarez, Joffre Marcelo Ramírez Franco, Yadira del Rocío Bello Tomalá, Edgar Raúl Quezada Calle

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