Metabolic efficiency and cardiovascular demand: a comparative analysis between yoga and HIIT in middle-aged men

Authors

DOI:

https://doi.org/10.47197/retos.v78.118579

Keywords:

Energy metabolism, heart rate, high-intensity interval training, middle aged, yoga

Abstract

Introduction: Identifying sustainable exercise modalities that match the cardiovascular benefits of High-Intensity Interval Training (HIIT) is a current challenge to improve adherence to physical activity.

Objective: To compare the hemodynamic response and metabolic efficiency (kcal/h) between self-managed sessions of HIIT and dynamic Yoga in physically active middle-aged men.

Methodology: A cross-sectional observational study was conducted on 153 adults (Yoga n = 86; HIIT n = 67). Acute responses were quantified in an ecological environment using smartwatches with optical sensors. Welch's t-test, Hedges' g, and a multiple linear regression model with an interaction term were applied.

Results: No evidence of statistically significant differences was found in metabolic efficiency (721.02 vs. 735.92 kcal/h; p = 0.221) or mean heart rate (143.51 vs. 145.58 bpm; p = 0.371), with trivial effect sizes. The strong correlation (r > 0.90) between heart rate and caloric expenditure evidenced a circular artifact inherent to the devices' predictive algorithms, with no interaction by modality (p = 0.586).

Discussion: The findings challenge the traditional classification of Yoga as a low-intensity activity, placing dynamic styles in comparable ranges of cardiovascular demand during self-managed practice.

Conclusions: Under ecological conditions, dynamic Yoga presented an acute cardiometabolic demand statistically similar to HIIT. It represents a relevant metabolic stimulus and a viable alternative with lower mechanical impact, requiring future experimental trials to confirm chronic adaptations.

References

Carpes, L., Costa, R., Schaarschmidt, B., Reichert, T., & Ferrari, R. (2022). High-intensity interval training reduces blood pressure in older adults: A systematic review and meta-analysis. Experimental Gerontology, 158, 111657. https://doi.org/10.1016/j.exger.2021.111657

Charlton, P. H., Pilt, K., & Kyriacou, P. A. (2022). Establishing best practices in photoplethysmography signal acquisition and processing. Physiological Measurement, 43(5), 050301. https://doi.org/10.1088/1361-6579/ac6cc4

Chen, W., Khurshid, S., Singer, D. E., Atlas, S. J., Ashburner, J. M., Ellinor, P. T., McManus, D. D., Lubitz, S. A., & Chhatwal, J. (2022). Cost-effectiveness of screening for atrial fibrillation using wearable de-vices. JAMA Health Forum, 3(8), e222419. https://doi.org/10.1001/jamahealthforum.2022.2419

Cheruka, C. A., Sherman, S. A., Davis, K. K., & Kline, C. E. (2023). Oxygen consumption and heart rate re-sponses in different vinyasa yoga sequences. International Journal of Yoga Therapy, 33(2023), Article 2. https://doi.org/10.17761/2023-D-22-00058

Cotie, L. M., Marçal, I. R., Way, K. L., Lee, L. S., Patterson, M., Pearson, M., Main, E., Thornton, J. S., Reed, J. L., & Banks, L. (2025). Sex differences in cardiovascular adaptations following aerobic exercise training programs: A systematic review and meta-analysis. Canadian Journal of Cardiolo-gy, 41(3), 337–353. https://doi.org/10.1016/j.cjca.2024.12.005

Curtis, D. (2024). Welch’s t test is more sensitive to real world violations of distributional assumptions than student’s t test but logistic regression is more robust than either. Statistical Papers, 65(6), 3981–3989. https://doi.org/10.1007/s00362-024-01531-7

Ditroilo, M., Mesquida, C., Abt, G., & Lakens, D. (2025). Exploratory research in sport and exercise sci-ence: Perceptions, challenges, and recommendations. Journal of Sports Sciences, 43(12), 1108–1120. https://doi.org/10.1080/02640414.2025.2486871

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

Geiger, C., Cramer, H., Anheyer, D., Dobos, G., & Kohl-Heckl, W. K. (2025). A systematic review and me-ta-analysis of yoga for arterial hypertension. PLOS One, 20(5), e0323268. https://doi.org/10.1371/journal.pone.0323268

Germini, F., Noronha, N., Borg Debono, V., Abraham Philip, B., Pete, D., Navarro, T., Keepanasseril, A., Parpia, S., De Wit, K., & Iorio, A. (2022). Accuracy and acceptability of wrist-wearable activity-tracking devices: Systematic review of the literature. Journal of Medical Internet Research, 24(1), e30791. https://doi.org/10.2196/30791

Grabara, M. (2025). Intensity of Hatha yoga training for older adults. Scientific Reports, 15(1), 12936. https://doi.org/10.1038/s41598-025-95547-0

Gutiérrez-Hernández, O., & García, L. V. (2025). Implementing the linear adaptive false discovery rate procedure for spatiotemporal trend testing. Mathematics, 13(22), 3630. https://doi.org/10.3390/math13223630

Isath, A., Kanwal, A., Virk, H. U. H., Bandyopadhyay, D., Wang, Z., Kumar, A., Kalra, A., Naidu, S. S., Lavie, C. J., Virani, S. S., & Krittanawong, C. (2023). The effect of yoga on cardiovascular disease risk fac-tors: A meta-analysis. Current Problems in Cardiology, 48(5), 101593. https://doi.org/10.1016/j.cpcardiol.2023.101593

Kim, K. B., & Baek, H. J. (2023). Photoplethysmography in wearable devices: A comprehensive review of technological advances, current challenges, and future directions. Electronics, 12(13), 2923. https://doi.org/10.3390/electronics12132923

Kitagaki, K., Hongo, Y., Futai, R., Hasegawa, T., Morikawa, H., & Shimoyama, H. (2025). Validity of heart rate measurement using wearable devices during cardiopulmonary exercise testing in patients with cardiovascular disease: Prospective pilot validation study. JMIR Cardio, 9, e77911–e77911. https://doi.org/10.2196/77911

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

Koerber, D., Khan, S., Shamsheri, T., Kirubarajan, A., & Mehta, S. (2023). Accuracy of heart rate meas-urement with wrist-worn wearable devices in various skin tones: A systematic review. Journal of Racial and Ethnic Health Disparities, 10(6), 2676–2684. https://doi.org/10.1007/s40615-022-01446-9

Lambe, R., Baldwin, M., O’Grady, B., Schumann, M., Caulfield, B., & Doherty, C. (2026). The accuracy of Apple Watch measurements: A living systematic review and meta-analysis. Npj Digital Medi-cine, 9(1), 63. https://doi.org/10.1038/s41746-025-02238-1

Le, S., Wang, X., Zhang, T., Lei, S. M., Cheng, S., Yao, W., & Schumann, M. (2022). Validity of three smart-watches in estimating energy expenditure during outdoor walking and running. Frontiers in Physiology, 13, 995575. https://doi.org/10.3389/fphys.2022.995575

Lee, M. A., Song, M., Bessette, H., Roberts Davis, M., Tyner, T. E., & Reid, A. (2023). Use of wearables for monitoring cardiometabolic health: A systematic review. International Journal of Medical In-formatics, 179, 105218. https://doi.org/10.1016/j.ijmedinf.2023.105218

Li, G., & Dong, D. (2025). A meta-analysis of the effects of high-intensity interval training on circulatory system-related indicators in sedentary populations. Frontiers in Physiology, 16, 1702247. https://doi.org/10.3389/fphys.2025.1702247

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, Y., Liu, F., Yu, W., Xiao, Y., Liu, D., Li, Z., Chen, W., Gao, F., & Le, S. (2025). Validity of four low-cost smartwatches in estimating energy expenditure during cycling in Chinese untrained women. PLOS One, 20(9), e0331399. https://doi.org/10.1371/journal.pone.0331399

Loro, F. L., Martins, R., Ferreira, J. B., De Araujo, C. L. P., Prade, L. R., Both, C. B., Nobre, J. C. N., Monteiro, M. B., & Dal Lago, P. (2024). Validation of a wearable sensor prototype for measuring heart rate to prescribe physical activity: Cross-sectional exploratory study. JMIR Biomedical Engineering, 9, e57373. https://doi.org/10.2196/57373

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

Oliveira, A., Fidalgo, A., Farinatti, P., & Monteiro, W. (2024). Effects of high-intensity interval and con-tinuous moderate aerobic training on fitness and health markers of older adults: A systematic review and meta-analysis. Archives of Gerontology and Geriatrics, 124, 105451. https://doi.org/10.1016/j.archger.2024.105451

Paramashiva, P. S., Sukumar, S., Shettigar, D., Kadavigere, R., Pradhan, A., Panakkal, N. C., Dkhar, W., Vaishali, K., Chandrasekaran, B., Palaniswamy, H. P., Ravichandran, S., Muthu, S. S., Kamath, K., Felix, H. J., Shazli, A., & David, L. R. (2025). Comparing the effects of yoga and exercise on vascu-lar function: A systematic review. Advances in Integrative Medicine, 12(4), 100556. https://doi.org/10.1016/j.aimed.2025.100556

Perugini, A., Gambarota, F., Toffalini, E., Lakens, D., Pastore, M., Finos, L., Core Team Psicostat, & Altoè, G. (2025). The benefits of reporting critical-effect-size values. Advances in Methods and Prac-tices in Psychological Science, 8(2), 25152459251335298. https://doi.org/10.1177/25152459251335298

Petek, B. J., Al-Alusi, M. A., Moulson, N., Grant, A. J., Besson, C., Guseh, J. S., Wasfy, M. M., Gremeaux, V., Churchill, T. W., & Baggish, A. L. (2023). Consumer wearable health and fitness technology in cardiovascular medicine. Journal of the American College of Cardiology, 82(3), 245–264. https://doi.org/10.1016/j.jacc.2023.04.054

Rohnejad, B., & Monazzami, A. (2023). Effects of high-intensity intermittent training on some inflam-matory and muscle damage indices in overweight middle-aged men. Apunts Sports Medicine, 58(217), 100404. https://doi.org/10.1016/j.apunsm.2023.100404

Romero-Vera, L., Ulloa-Díaz, D., Araya-Sierralta, S., Guede-Rojas, F., Andrades-Ramírez, O., Carvajal-Parodi, C., Muñoz-Bustos, G., Matamala-Aguilera, M., & Martínez-García, D. (2024). Effects of high-intensity interval training on blood pressure levels in hypertensive patients: A systematic review and meta-analysis of randomized clinical trials. Life, 14(12), 1661. https://doi.org/10.3390/life14121661

Rovetta, A., Mansournia, M. A., Stovitz, S. D., Adams, W. M., & Greenland, S. (2025). Interpreting p values and interval estimates based on practical relevance: Guidance for the sports medicine clinician. British Journal of Sports Medicine, 59(24), bjsports-2024-109357. https://doi.org/10.1136/bjsports-2024-109357

Sert, H., Gulbahar Eren, M., Gurcay, B., & Koc, F. (2025). The effectiveness of a high-intensity interval exercise on cardiometabolic health and quality of life in older adults: A systematic review and meta-analysis. BMC Sports Science, Medicine and Rehabilitation, 17(1), 128. https://doi.org/10.1186/s13102-025-01176-5

Shiroshita, A., Yamamoto, N., Saka, N., Shiba, H., Toki, S., Yamamoto, M., Dohi, E., & Kataoka, Y. (2024). Expanding the scope: In-depth review of interaction in regression models. Annals of Clinical Ep-idemiology, 6(2), 25–32. https://doi.org/10.37737/ace.24005

Thrower, A., Barone Gibbs, B., Alansare, A., Sherman, S., & Davis, K. (2023). Blood pressure and heart rate variability responses following an acute bout of vinyasa yoga and a prolonged seated con-trol: A randomized crossover trial. PLOS ONE, 18(11), e0294945. https://doi.org/10.1371/journal.pone.0294945

Valle Flores, J. A., Rosado Álvarez, M. M., González Iglesias, S., & Rios Espinoza, M. (2026). Perfil saluda-ble en adultos físicamente activos según patrones de entrenamiento y condición fisiológica. Re-tos, 75, 329–343. https://doi.org/10.47197/retos.v75.118163

Van Oost, C. N., Masci, F., Malisse, A., Schyvens, A.-M., Peters, B., Dirix, H., Ross, V., Wets, G., Neven, A., Verbraecken, J., & Aerts, J.-M. (2025). Accuracy of heart rate measurement under transient states: A validation study of wearables for real-life monitoring. Sensors, 25(20), 6319. https://doi.org/10.3390/s25206319

Zhao, X., Ding, X., Yang, J., Yan, S., Wang, H., Tao, K., & Qiu, J. (2025). Validity of smartwatches for esti-mating energy expenditure during aerobic dance. Journal of Science in Sport and Exercise. https://doi.org/10.1007/s42978-025-00339-7

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01-05-2026

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Original Research Article

How to Cite

Escobar Vadivieso, G. S., Villacrés Caicedo, S. E., Palma Cabrera, C. M., Burbano Lajones, A. E., Valle Flores, J. A., Rosado Alvarez, M. M., Bello Tomalá, Y. del R., & Ramírez Franco, J. M. (2026). Metabolic efficiency and cardiovascular demand: a comparative analysis between yoga and HIIT in middle-aged men. Retos, 78, 412-423. https://doi.org/10.47197/retos.v78.118579