Diagnostic accuracy of BMI for detecting adiposity in physically active young adult males
DOI:
https://doi.org/10.47197/retos.v77.118558Keywords:
adiposity, body composition, body mass index, electric impedance, young adultAbstract
Introduction: The assessment of body composition is particularly relevant in physically active populations, as total body weight may mask actual adiposity. In this context, the Body Mass Index (BMI) has been questioned due to its limited ability to discriminate between adipose tissue and fat-free mass.
Objective: To evaluate the diagnostic accuracy of BMI for detecting elevated adiposity in physically active young men, using body fat percentage as an operational comparative criterion.
Methodology: A quantitative cross-sectional study was conducted in 203 men aged 18–35 years, recruited from fitness centres. The diagnostic performance of BMI (≥ 25 kg/m²) was contrasted against elevated adiposity defined by ACE criteria (body fat percentage ≥ 18%), estimated using multifrequency bioelectrical impedance analysis. Sensitivity, specificity, predictive values, diagnostic accuracy, and the distribution of concordant and discordant phenotypes were calculated.
Results: BMI showed an overall diagnostic accuracy of 63.05%, with a sensitivity of 65.48% and a specificity of 51.43%. Discordance driven by adiposity underestimation predominated, with the phenotype of elevated adiposity and BMI < 25 kg/m² accounting for 28.6%, compared with 8.4% for BMI ≥ 25 kg/m² without elevated adiposity. The negative predictive value was 23.68%.
Discussion: The findings describe a pattern of adiposity underestimation by BMI in physically active young men, calling into question its exclusive use as a screening tool in this context.
Conclusions: BMI demonstrated limited utility for detecting elevated adiposity in this population. Complementary use of direct body composition assessments is recommended to reduce the omission of individuals with excess adiposity not identified by BMI.
References
Abdelnour, M., Berkachy, R., Nasreddine, L., & Fares, E.-J. (2024). Bioelectrical impedance vector analy-sis (Biva) for assessment of hydration status: A comparison between endurance and strength university athletes. Sensors, 24(18), 6024. https://doi.org/10.3390/s24186024
Abreu, B., Henriques, R., Figueiredo, J. P., & Loureiro, H. (2022). Body composition assessment of uni-versity athletes: Comparison between the data obtained by bioelectrical impedance and by an-thropometry. International Journal of Kinanthropometry, 2(2), 1–12. https://doi.org/10.34256/ijk2221
Ahmadi, M. N., Lee, I.-M., Hamer, M., Del Pozo Cruz, B., Chen, L. J., Eroglu, E., Lai, Y.-J., Ku, P. W., & Stama-takis, E. (2022). Changes in physical activity and adiposity with all-cause, cardiovascular dis-ease, and cancer mortality. International Journal of Obesity, 46(10), 1849–1858. https://doi.org/10.1038/s41366-022-01195-z
Ayala San Pedro, J. A., Avila Salcedo, D. R., Martínez Borja, L. M., & Castillo Montufar, E. (2025). Assess-ment 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. 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
Bujang, M. A., Omar, E. D., Foo, D. H. P., & Hon, Y. K. (2024). Sample size determination for conducting a pilot study to assess reliability of a questionnaire. Restorative Dentistry & Endodontics, 49(1), e3. https://doi.org/10.5395/rde.2024.49.e3
Casanova, I. J., Campos, M., Juarez, J. M., Gomariz, A., Lorente-Ros, M., & Lorente, J. A. (2022). Using the diagnostic odds ratio to select patterns to build an interpretable pattern-based classifier in a clinical domain: Multivariate sequential pattern mining study. JMIR Medical Informatics, 10(8), e32319. https://doi.org/10.2196/32319
Colburn, A. T., Johnson, E. C., Péronnet, F., Jansen, L. T., Capitan-Jimenez, C., Adams, J. D., Guelinckx, I., Perrier, E. T., Mauromoustakos, A., & Kavouras, S. A. (2021). Validity and reliability of a water frequency questionnaire to estimate daily total water intake in adults. Frontiers in Nutrition, 8, 676697. https://doi.org/10.3389/fnut.2021.676697
Debes, W., Sadaqa, M., Németh, Z., Aldardour, A., Prémusz, V., & Hock, M. (2024). Effect of resistance exercise on body composition and functional capacity in older women with sarcopenic obesi-ty—A systematic review with narrative synthesis. Journal of Clinical Medicine, 13(2), 441. https://doi.org/10.3390/jcm13020441
Dimitrijevic, M., Paunovic, V., Zivkovic, V., Bolevich, S., & Jakovljevic, V. (2022). Body fat evaluation in male athletes from combat sports by comparing anthropometric, bioimpedance, and dual‐energy x‐ray absorptiometry measurements. BioMed Research International, 2022(1), 3456958. https://doi.org/10.1155/2022/3456958
Falbová, D., Sulis, S., Oravská, P., Hozaková, A., Švábová, P., Beňuš, R., & Vorobeľová, L. (2025). The prevalence of normal weight obesity in slovak young adults and its relationship with body composition and lifestyle habits. Bratislava Medical Journal, 126(10), 2698–2707. https://doi.org/10.1007/s44411-025-00273-8
Flannigan, C., Robinson, M., Rodriguez-Sanchez, N., Drust, B., McGregor, R., & Galloway, S. (2024). Skin-fold thickness in elite male professional football players: Changes across 3 seasons including a COVID-19 lockdown period. Science and Medicine in Football, 8(4), 333–340. https://doi.org/10.1080/24733938.2023.2248062
Haam, J.-H., Kim, B. T., Kim, E. M., Kwon, H., Kang, J.-H., Park, J. H., Kim, K.-K., Rhee, S. Y., Kim, Y.-H., & Lee, K. Y. (2023). Diagnosis of obesity: 2022 update of clinical practice guidelines for obesity by the korean society for the study of obesity. Journal of Obesity & Metabolic Syndrome, 32(2), 121–129. https://doi.org/10.7570/jomes23031
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, 1624562. https://doi.org/10.3389/fpubh.2025.1624562
Jagim, A. R., Tinsley, G. M., Merfeld, B. R., Ambrosius, A., Khurelbaatar, C., Dodge, C., Carpenter, M., Luedke, J., Erickson, J. L., Fields, J. B., & Jones, M. T. (2023). Validation of skinfold equations and alternative methods for the determination of fat-free mass in young athletes. Frontiers in Sports and Active Living, 5, 1240252. https://doi.org/10.3389/fspor.2023.1240252
Jeong, S.-M., Lee, D. H., Rezende, L. F. M., & Giovannucci, E. L. (2023). Different correlation of body mass index with body fatness and obesity-related biomarker according to age, sex and race-ethnicity. Scientific Reports, 13(1), 3472. https://doi.org/10.1038/s41598-023-30527-w
Kobel, S., Kirsten, J., & Kelso, A. (2022). Anthropometry – assessment of body composition. Deutsche Zeitschrift Für Sportmedizin/German Journal of Sports Medicine, 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, 1173488. https://doi.org/10.3389/fnut.2023.1173488
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
Liu-Galvin, R., Orlando, F. A., Saguil, A. A., Jo, A., Smith, K. B., Miller, A. M., Nelson, D. S., Sanders, E. C., & Mainous, A. G. (2025). More evidence of the health risks of normal weight obesity: The associa-tion with systemic inflammation. Frontiers in Medicine, 12, 1695935. https://doi.org/10.3389/fmed.2025.1695935
Lucas, E., & Aronne, L. J. (2025). Is it time to define obesity by body composition and not solely body mass index? The Journal of Clinical Endocrinology & Metabolism, 110(4), e1278–e1279. https://doi.org/10.1210/clinem/dgae473
Mainous, A. G., Yin, L., Wu, V., Sharma, P., Jenkins, B. M., Saguil, A. A., Nelson, D. S., & Orlando, F. A. (2025). Body mass index vs body fat percentage as a predictor of mortality in adults aged 20-49 years. The Annals of Family Medicine, 23(4), 337–343. https://doi.org/10.1370/afm.240330
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
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
Milanese, C., Itani, L., Cavedon, V., & El Ghoch, M. (2025). The who bmi system misclassifies weight sta-tus 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
Mohammadian Khonsari, N., Khashayar, P., Shahrestanaki, E., Kelishadi, R., Mohammadpoor Nami, S., Heidari-Beni, M., Esmaeili Abdar, Z., Tabatabaei-Malazy, O., & Qorbani, M. (2022). Normal weight obesity and cardiometabolic risk factors: A systematic review and meta-analysis. Fron-tiers in Endocrinology, 13, 857930. https://doi.org/10.3389/fendo.2022.857930
Mølmen, K. S., & Rønnestad, B. R. (2024). A narrative review exploring advances in interval training for endurance athletes. Applied Physiology, Nutrition, and Metabolism, 49(7), 1008–1013. https://doi.org/10.1139/apnm-2023-0603
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
Pérez-Castillo, Í. M., Valiño-Marques, A., López-Chicharro, J., Segura-Ortiz, F., Rueda, R., & Bouzamondo, H. (2025). Bioelectrical impedance analysis in professional and semi-professional football: A scoping review. Sports, 13(10), 348. https://doi.org/10.3390/sports13100348
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, 79(12), 1235–1244. https://doi.org/10.1038/s41430-025-01664-4
Ribeiro, A. S., Sofiati, S. L., Kassiano, W., Martinho, D. V., Nascimento, M. A., Avelar, A., Trindade, M. C. C., Mayhew, J. L., & Cyrino, E. S. (2024). Agreement between fat-free mass from bioelectrical im-pedance analysis and dual-energy X-ray absorptiometry and their use in estimating resting metabolic rate in resistance-trained men. Journal of the International Society of Sports Nutri-tion, 21(1), 2357319. https://doi.org/10.1080/15502783.2024.2357319
Schlattmann, P. (2023). Tutorial: Statistical methods for the meta-analysis of diagnostic test accuracy studies. Clinical Chemistry and Laboratory Medicine (CCLM), 61(5), 777–794. https://doi.org/10.1515/cclm-2022-1256
Siedler, M. R., Rodriguez, C., Stratton, M. T., Harty, P. S., Keith, D. S., Green, J. J., Boykin, J. R., White, S. J., Williams, A. D., DeHaven, B., & Tinsley, G. M. (2023). Assessing the reliability and cross-sectional and longitudinal validity of fifteen bioelectrical impedance analysis devices. British Journal of Nutrition, 130(5), 827–840. https://doi.org/10.1017/S0007114522003749
Stampoulis, T., Avloniti, A., Draganidis, D., Balampanos, D., Chalastra, P. E., Gkachtsou, A., Pantazis, D., Retzepis, N.-O., Protopapa, M., Poulios, A., Zaras, N., Michalopoulou, M., Fatouros, I. G., & Chat-zinikolaou, A. (2025). New bioelectrical impedance-based equations to estimate resting meta-bolic rate in young athletes. Methods and Protocols, 8(3), 53. https://doi.org/10.3390/mps8030053
Valle Flores, J. A., Rosado Álvarez, M. M., Ramírez Franco, J. M., Bello Tomalá, Y. D. R., & Quezada Calle, E. R. (2025). Discordancia diagnóstica entre IMC y adiposidad en adultos físicamente activos. Retos, 75, 471–484. https://doi.org/10.47197/retos.v75.118279
Walker, S., Von Bonsdorff, M., Cheng, S., Häkkinen, K., Bondarev, D., Heinonen, A., & Korhonen, M. T. (2023). Body composition in male lifelong trained strength, sprint and endurance athletes and healthy age-matched controls. Frontiers in Sports and Active Living, 5, 1295906. https://doi.org/10.3389/fspor.2023.1295906
White, S. J., Chau, M., Arruzza, E., Ong, M., John, H., Theiss, R., Yaxley, K. L., & To, M.-S. (2025). Assess-ment of Standards for Reporting of Diagnostic Accuracy (Stard) 2015 guideline adherence in medical imaging diagnostic accuracy studies published in 2023. Journal of Clinical Epidemiolo-gy, 179, 111654. https://doi.org/10.1016/j.jclinepi.2024.111654
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
Yaşar, O. M., Gürses, V. V., Ciğerci, A. E., Bal, E., Pehlivan, Y., Baş, M., Malkoç, N., Bektaş, M., Başkaya, G., Dündar, S., Karakullukçu, Ö. F., & Küçük, H. (2025). From BMI to TMI: Revisiting adiposity and fitness assessment in young active adults through a historical and contemporary lens. Frontiers in Public Health, 13, 1700684. https://doi.org/10.3389/fpubh.2025.1700684
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
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Gustavo Escobar Vadivieso, Haydee María Alvarado Alvarado, Miguel Eduardo Palma Cabello, Mercedes Apolonia Vera Cornejo, José Antonio Valle Flores, María Magdalena Rosado Alvarez

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and ensure the magazine the right to be the first publication of the work as licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of authorship of the work and the initial publication in this magazine.
- Authors can establish separate additional agreements for non-exclusive distribution of the version of the work published in the journal (eg, to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Is allowed and authors are encouraged to disseminate their work electronically (eg, in institutional repositories or on their own website) prior to and during the submission process, as it can lead to productive exchanges, as well as to a subpoena more Early and more of published work (See The Effect of Open Access) (in English).
This journal provides immediate open access to its content (BOAI, http://legacy.earlham.edu/~peters/fos/boaifaq.htm#openaccess) on the principle that making research freely available to the public supports a greater global exchange of knowledge. The authors may download the papers from the journal website, or will be provided with the PDF version of the article via e-mail.