Exercise Load Classification and Perceptual Difference Awareness Training Based on Exercise Load Entropy Theory in University Students

LI Xin, YANG Peina, WANG Luyao, HAN Haijun, BAI Peng, LI Jian, XIAO Xue

Abstract

Objective 

Based on exercise load entropy measurement theory, this study aimed to investigate patterns of change in exercise load classification, perceptual difference awareness, and Weber fraction among university students across different exercise load levels, thereby providing theoretical support for personalized exercise load assessment.

Methods 

From January to April 2025, 138 college students completed six incrementally increasing load tests on a cycle ergometer. Based on self-perceived load staging and perceptual discrimination, discrimination thresholds and Weber fractions were calculated for each load level. Data were analyzed using univariate analysis, correlation analysis, and multiple linear regression analysis.

Results 

With increasing exercise load levels, differential perception showed an overall downward trend, but the difference was not statistically significant (P = 0.156). The Weber fraction decreased progressively with increasing load level, from 0.49 at load level 2 to 0.11 at load level 6 (P = 0.034). Multiple linear regression analysis indicated that for each one-level increase in exercise load, the Weber fraction decreased by an average of 0.07 (95% CI: －0.12 to －0.02, P = 0.009). In addition, males had a lower Weber fraction than females (95% CI: －0.12 to －0.06, P < 0.001).

Conclusion 

Among college students, the perception of exercise load changes nonlinearly as the load level increases, and the Weber fraction decreases as the load intensifies.

 

Keywords: Exercise load entropy, Exercise load classification, Perceptual difference awareness, Weber fraction, Personalized intervention

 

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References


IMPELLIZZERI F M, MARCORA S M, COUTTS A J. Internal and external training load: 15 years on. Int J Sports Physiol Perform, 2019, 14(2): 270-273. doi: 10.1123/ijspp.2018-0935.

LI X C, PENG X L, SHI L, et al. Exercise load entropy: a new theoretical approach to measuring exercise load. Chin J Sports Sci, 2024, 44(6): 3-14. doi: 10.16469/j.css.202406001.

IMPELLIZZERI F M, SHRIER I, MCLAREN S J, et al. Understanding training load as exposure and dose. Sports Med, 2023, 53(9): 1667-1679. doi: 10.1007/s40279-023-01833-0.

KOWALSKI T, SCHUMANN M, KLICH S, et al. Equity in training load: research design considerations for intervention assessment in sports science and physical therapy. Eur J Appl Physiol, 2025, 125: 2067-2075. doi: 10.1007/s00421-025-05844-9.

DUDLEY C, JOHNSTON R, JONES B, et al. Methods of monitoring internal and external loads and their relationships with physical qualities, injury, or illness in adolescent athletes: a systematic review and best-evidence synthesis. Sports Med, 2023, 53(8): 1559-1593. doi: 10.1007/s40279-023-01844-x.

FU Q, XU T, WANG J J, et al. Effects of exercise prescription on cognitive function recovery in college students with mild to moderate depression. J Sichuan Univ (Med Sci), 2025, 56(4): 1112-1119. doi: 10.12182/ 20250760603.

SON J Y, JUNG J, SON J E, et al. A graded personalized exercise program's effect on muscle and body fat: randomized controlled trial. BMC Public Health, 2025, 25(1): 1258. doi: 10.1186/s12889-025-22453-5.

HUNTER S K, ANGADI S S, BHARGAVA A, et al. The biological basis of sex differences in athletic performance: consensus statement for the american college of sports medicine. Med Sci Sports Exerc, 2023, 55(12): 2328-2360. doi: 10.1249/MSS.0000000000003300.

NOONE J, MUCINSKI J M, DELANY J P, et al. Understanding the variation in exercise responses to guide personalized physical activity prescriptions. Cell Metab, 2024, 36(4): 702-724. doi: 10.1016/j.cmet.2023.12.025.

WACKERHAGE H, SCHOENFELD B J. Personalized, evidence-informed training plans and exercise prescriptions for performance, fitness and health. Sports Med, 2021, 51(9): 1805-1813. doi: 10.1007/s40279-021-01495-w.

General Administration of Sport of China. National physical fitness monitoring bulletin (2020). Beijing: People’s Sports Publishing House, 2022.

GONG M J, TANG Q, TAN S J, et al. Research progress on the effects and mechanisms of exercise interventions on sleep disorders. J Sichuan Univ (Med Sci), 2024, 55(1): 236-242. doi: 10.12182/20240160404.

Expert Panel Of Chinese Expert Consensus On Exercise Prescription. Chinese expert consensus on exercise prescription (2023). Chin J Sports Med, 2023, 42(1): 3-13. doi: 10.3969/j.issn.1000-6710.2023.01.001.

DOU X, KIM Y, CHU H. Prevalence of metabolic syndrome according to physical activity, dietary habits, mental status, social status, health behavior, and obesity phenotypes in Korean adolescents: 2016-2021. Foods, 2023, 12(17): 3304. doi: 10.3390/foods12173304.

CARVALHO T, FREITAS O G A, CHALELA W A, et al. Brazilian Guideline for Exercise Test in the Adult Population - 2024. Arq Bras Cardiol, 2024, 121(3): e20240110. doi: 10.36660/abc.20240110.


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