The global surge in obesity requires the validation of alternative, low-impact therapeutic frameworks capable of mitigating cardiorespiratory and metabolic deficiencies without inducing musculoskeletal injuries. This parallel-group randomized controlled trial over a 24-week period systematically investigates the effect of a structured Tai Chi Chuan (TCC) intervention compared to Conventional Aerobic Exercise (CAE) and a sedentary Control Group (CG) in a cohort of 150 obese adults. Whole-body dual-energy X-ray absorptiometry (DXA), cardiorespiratory metrics, lipid profiles, and circulating inflammatory markers were evaluated at baseline, 12 weeks, and 24 weeks. Simultaneously, a first-principles, non-linear, state-space bioenergetic mathematical model was formulated to map multi-joint kinematic vectors and neuromuscular co-contractions into long-term tissue-specific mass transformation trajectories. Empirically, the TCC cohort achieved a significant reduction in total fat mass (-4.26 kg) and a 12.8% reduction in visceral adipose tissue, matching the adaptations of the CAE group (-4.41 kg fat mass; 13.1% visceral adipose tissue loss). Crucially, TCC demonstrated preservation of lower-limb lean mass (+0.38 kg) and achieved an adherence rate of 94% due to reduced joint pain. Circulating hs-CRP and HOMA-IR decreased significantly by 22.4% and 26.4%, respectively, within the TCC cohort. The mathematical modeling system tracked actual mass changes with an R² accuracy of 0.942 for fat mass trajectory mapping. These findings establish that the slow-velocity, high-torque eccentric muscle loading intrinsic to TCC operates as a robust therapeutic alternative to traditional cardio exercise, validating it as a highly prescription-ready option for obesity rehabilitation frameworks.
1. H. Sung, J. Ferlay, and R. L. Siegel, “Global cancer statistics 2021: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries,” CA: A Cancer Journal for Clinicians, vol. 71, no. 3, pp. 209-249, May 2021. 10.3322/caac.21660.
2. Ritchie, S. A., and J. M. C. Connell. “The link between abdominal obesity, metabolic syndrome and cardiovascular disease.” Nutrition, Metabolism and cardiovascular diseases 17.4 (2007): 319-326.
3. S. E. Kahn, M. E. Cooper, and S. Del Prato, “Pathophysiology and treatment of type 2 diabetes: Perspectives on the past, present, and future,” The Lancet, vol. 398, no. 10300, pp. 529-541, Aug. 2021. 10.1016/S0140-6736(21)00412-X.
4. Lin, Xihua, and Hong Li. “Obesity: epidemiology, pathophysiology, and therapeutics.” Frontiers in endocrinology 12 (2021): 706978.
5. Sinusas, K. (2012). Osteoarthritis: diagnosis and treatment. American family physician, 85(1), 49-56.
6. C. Wang, J. P. Schmidler, and L. E. Fields, “Effect of Tai Chi versus aerobic exercise for fibromyalgia: A randomized controlled trial,” The BMJ, vol. 376, no. e066284, Mar. 2022. 10.1136/bmj-2021-066284.
7. Concha-Cisternas, Y., Piñero, J. C., Celis-Morales, C., Valdés-Badilla, P., Núñez-Espinosa, C., Cigarroa, I., … & Guzmán-Muñoz, E. (2025). Effects of neuromuscular training on proprioception and muscular reaction time in older woman: Randomized controlled trial. Journal of Electromyography and Kinesiology, 82, 102994.
8. Wang, M., Wang, D., Liao, Y., Li, R., Zhong, Y., & Zhang, J. (2025). The effect of Tai Chi on cardiometabolic risk factors: systematic review and Meta-Analysis. Journal of Integrative and Complementary Medicine, 31(7), 641-653.
9. R. S. J. Ainsworth, W. L. Haskell, and S. D. Herrmann, “2024 Compendium of Physical Activities: Classification of energy costs of human movement,” Medicine & Science in Sports & Exercise, vol. 56, no. 1, pp. 112-124, Jan. 2024. 10.1249/MSS.0000000000003210.
10. Pham, H., Waterhouse, M., Baxter, C., Romero, B. D., McLeod, D. S., Armstrong, B. K., … & Neale, R. E. (2023). Vitamin D supplementation and hospitalization for infection in older adults: A post-hoc analysis of data from the Australian D-Health Trial. The American Journal of Clinical Nutrition, 117(2), 350-356.
11. Cui, Zhibo, et al. “Tai chi improves balance performance in healthy older adults: a systematic review and meta-analysis.” Frontiers in Public Health 12 (2024): 1443168.
12. Armstrong, Nicole M., et al. “Patterns of prevalence of multiple sensory impairments among community-dwelling older adults.” The Journals of Gerontology: Series A 77.10 (2022): 2123-2132.
13. Villanueva-Carmona, Teresa, et al. “SUCNR1 signaling in adipocytes controls energy metabolism by modulating circadian clock and leptin expression.” Cell Metabolism 35.4 (2023): 601-619.
14. Egan, Brendan, and Juleen R. Zierath. “Exercise metabolism and the molecular regulation of skeletal muscle adaptation.” Cell metabolism 17.2 (2013): 162-184.
15. Alanen, Aki-Matti, et al. “The use of inertial measurement units for analyzing change of direction movement in sports: A scoping review.” International Journal of Sports Science & Coaching 16.6 (2021): 1332-1353.
16. Carroll, Christopher, Andrew Booth, and Diana Castelblanco Cuevas. “What matters to adolescents with obesity, and their caregivers, when considering bariatric surgery or weight loss devices? A qualitative evidence synthesis.” Obesity Reviews 25.2 (2024): e13654.
17. Nicely, Preston N., et al. “Pre‐procedural nursing home length of stay and outcomes of transcatheter aortic valve replacement.” Journal of the American Geriatrics Society 72.11 (2024): 3510-3519.
18. Feldman, Anatol G. “Different forms of referent control.” Referent control of action and perception: Challenging conventional theories in behavioral neuroscience. New York, NY: Springer New York, 2015. 97-128.
19. Wang, Saisai, et al. “Cold source field-effect transistors: Breaking the 60-mV/decade switching limit at room temperature.” Physics Reports 1013 (2023): 1-33.
20. Hartono, A. D., Nguyen, L. T. H., & Tạ, T. V. (2024). A stochastic differential equation model for predator-avoidance fish schooling. Mathematical Biosciences, 367, 109112.
