Evidence map›Paper›PMID 42053805›Full record

ArticleEuropean journal of applied physiology2026

DFAα1 as an intensity-sensitive biomarker for exercise prescription: a prospective cross-sectional study in healthy young adults.

Yuxiao Deng, Chunxue Tang, Xianxiang Zeng, Yanyan Zhang, Lijun Shi

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Article in European journal of applied physiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Yuxiao DengDepartment of Exercise Physiology, Beijing Sport University, Beijing, 100084, P.R. China.
Chunxue TangDepartment of Exercise Physiology, Beijing Sport University, Beijing, 100084, P.R. China.
Xianxiang ZengDepartment of Exercise Physiology, Beijing Sport University, Beijing, 100084, P.R. China.
Yanyan ZhangDepartment of Exercise Physiology, Beijing Sport University, Beijing, 100084, P.R. China.
Lijun ShiDepartment of Exercise Physiology, Beijing Sport University, Beijing, 100084, P.R. China. shilj@bsu.edu.cn.ORCID http://orcid.org/0000-0001-6655-2949

Funding

Fundamental Research Funds for the Central Universities 2024JCYJ001Fundamental Research Funds for the Central Universities 2025KYPT03the National Key Research and Development Program of China 2022YFC3600201
6 · The paper itself

Abstract

backgroundWhile heart rate variability (HRV) offers a non-invasive alternative for ventilatory thresholds (VTs) estimation, its conventional linear parameters (e.g., RMSSD) exhibit a "floor effect" limiting utility. DFAα1 is a promising non-linear HRV parameter, reflecting the complex pattern of autonomic regulation. This study evaluated DFAα1 for threshold estimation, intensity monitoring, and recovery assessment.

methods27 healthy adults underwent an incremental cycle ergometer test. VTs were determined via standard criteria, while HRV thresholds (HRVTs) were determined using multiple parameters. A subset (n = 19) then performed low to severe intensity exercise tests (E1-E4) to validate HRV sensitivity and dynamic responses.

resultsFor HRVT1 vs. VT1: DFAα1-derived HRVT1 exhibited the highest ICC (> 0.60) among all parameters but with a systematic bias; for HRVT2 vs. VT2: DFAα1-derived HRVT2 exhibited moderate-to-high ICC (> 0.60) and RMSSD-derived achieved the highest ICC (0.88-0.95). During E1-E4, DFAα1 and the natural log of RMSSD (LnRMSSD) both decreased during exercise and increased during recovery. During exercise, DFAα1 in E1 and E2 exceeded in E3 and E4, while LnRMSSD was higher in E1 than in E2-E4 (all P < 0.05). During recovery in E2-E4, DFAα1 exceeded baseline, and this rebound was delayed with intensity, while LnRMSSD was lower than baseline with a downward trend.

conclusionsDFAα1 showed potential for estimating both VTs, retained sensitivity across intensity domains, and showed recovery dynamics proportional to prior intensity. Despite individual variability suggesting use for broad zoning rather than precise estimation, DFAα1 serves as an intensity-sensitive biomarker for individualized exercise prescription.

Indexed as

ExerciseHeart RateAdultAnaerobic ThresholdBiomarkersCross-Sectional StudiesExercise TestFemaleHumansMalePost-Exercise RecoveryProspective StudiesYoung AdultBiomarkersAutonomic nervous systemExercise intensityHeart rate variabilityVentilatory thresholds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.