Uncertainty in Exercise Intensity Prescription for Cardiac Rehabilitation: A Methodological Review of Measurement Error, Physiological Variability, and Clinical Decision-Making

Q: What is the clinical evidence from this study?

Study design: Review. Population: Cardiovascular disease requiring cardiac rehabilitation. Intervention: Exercise intensity prescription in cardiac rehabilitation (using HRmax, HRR, VO2R, VT, RPE, and wearable monitoring) vs. Direct cardiopulmonary exercise testing (CPET) and electrocardiography (ECG) reference standards. Primary outcome: Classification and synthesis of exercise prescription uncertainty domains (measurement, estimation, physiological variability, and application/transfer).

Q: What does this research mean for the field?

Fixed target exercise intensity zones in cardiac rehabilitation reflect substantial measurement error and physiological variability, requiring clinical interpretation as evidence-qualified decision ranges rather than rigid physiological boundaries. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Wanyoung Yoon

doi:10.15758/jk.2026.28.4.234

October 31, 2026The Asian Journal of KinesiologyOpen Access

Uncertainty in Exercise Intensity Prescription for Cardiac Rehabilitation: A Methodological Review of Measurement Error, Physiological Variability, and Clinical Decision-Making

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Key result

Cardiac rehabilitation exercise prescription carries substantial uncertainty across 4 clinical domains, notably HRmax estimation.

Why the study?

The pathways through which uncertainties such as measurement errors and physiological variability enter cardiac rehabilitation exercise prescriptions required examination to establish a framework for clinical interpretation and minimum reporting.

Key Points

To examine how measurement errors and physiological variability impact exercise intensity prescriptions in cardiac rehabilitation and propose a clinical framework for decision-making.
Conducted a structured methodological narrative review guided by SANRA transparency standards across PubMed/MEDLINE (2000–2026).
Synthesized 39 core sources assessing prescription error domains, physiological variability, and clinical decision-making.
Maximum heart rate prediction equations showed substantial error margins, including a standard error of estimate of 18 bpm in cardiac patients on beta-blockers and 17.5 bpm (MAPE 11.9%) in heart failure with reduced ejection fraction.
Ventilatory threshold interpretation exhibited inter-observer 95% limits of agreement of 20.2% of the mean threshold, and wrist-worn photoplethysmography exhibited 95% limits of agreement ranging from -21.05 to 18.56 bpm.
Continuous heart rate monitoring demonstrated device-dependent reliability across cardiac cohorts, with electrocardiography yielding an MAE of 3.4 bpm (MAPE 4.9%) versus 8.3 bpm (MAPE 14.3%) for photoplethysmography.

Structured PICO

P

Population

Synthesis of 39 core literature sources evaluating measurement error, physiological variability, and clinical decision-making in exercise intensity prescription for cardiac rehabilitation.

I

Intervention

Exercise intensity prescription methods and monitoring strategies in cardiac rehabilitation (including maximal heart rate [HRmax] predictive equations, heart rate reserve [HRR], oxygen uptake reserve [VO2R], ventilatory threshold [VT], rating of perceived exertion [RPE], and wearable photoplethysmography [PPG]/ECG monitoring), organized into a proposed 5-stage Exercise Prescription Uncertainty Chain and hierarchical decision ranges.

O

Outcome

Classification and quantification of exercise prescription uncertainty across four domains (measurement, estimation, physiological variability, and application/transfer uncertainty) and their impact on clinical decision-making.

This methodological review demonstrates that fixed target heart rate zones in cardiac rehabilitation are subject to cumulative measurement, estimation, physiological, and transfer uncertainties, proposing an Uncertainty Chain framework and hierarchical decision ranges to improve prescription safety and clinical interpretation.

Limitations

Structured methodological narrative review rather than a prospective systematic review; total search hits and PRISMA flow diagrams were not reconstructed.
Dual independent screening, formal risk-of-bias assessment, and meta-analysis were not performed.
The proposed four uncertainty domains, Uncertainty Chain model, and hierarchical decision zones are conceptual frameworks whose clinical validity and predictive value have not yet been prospectively validated.
Heterogeneous errors across different devices, diseases, and exercise modalities were not mathematically pooled into a single quantitative uncertainty interval.
Structured methodological narrative review rather than a prospectively managed systematic review; total search hits, PRISMA flow diagram, dual independent screening, formal risk of bias assessment, and meta-analysis were not performed.
The four uncertainty domains, Uncertainty Chain model, and hierarchical decision zones are conceptual proposals whose clinical validity and predictive value have not yet been prospectively validated.
Reported errors across heterogeneous devices, diseases, and exercise modalities were not mathematically pooled, preventing direct calculation of patient-specific quantitative uncertainty intervals.
Some methodological paradigms relied on indirect evidence from healthy, obese, or general non-cardiac populations where direct cardiac rehabilitation evidence was lacking.

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Implication

Clinicians should interpret heart rate-guided prescriptions cautiously in cardiac rehabilitation; leaves open validation of adjusted frameworks in prospective trials.

Abstract

OBJECTIVES This study examines the pathways through which uncertainties—such as measurement errors and physiological variability—enter cardiac rehabilitation exercise prescriptions, proposing a framework for clinical interpretation and minimum reporting.METHODS We searched PubMed/MEDLINE (2000-2026) and synthesized 39 core sources regarding prescription errors and variability, conducting a structured methodological narrative review guided by SANRA transparency standards.RESULTS Prescription uncertainty was classified into four domains: measurement, estimation, physiological variability, and application/transfer uncertainty, which ultimately converge on clinical decision-making. Specifically, predictive equations for maximum heart rate in patients on beta-blockers, ventilatory threshold interpretations in heart failure, and wrist-worn device measurements exhibited substantial clinical deviations.CONCLUSIONS Fixed target zones must be interpreted as evidence-qualified decision ranges specifying input provenance and potential errors, rather than absolute physiological boundaries. The proposed Uncertainty Chain model contributes to enhancing prescription safety, though future prospective clinical validations are required.

Discussion

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Cite This Study

Wanyoung Yoon (2026) conducted a review in Cardiovascular disease requiring cardiac rehabilitation. Exercise intensity prescription in cardiac rehabilitation (using HRmax, HRR, VO2R, VT, RPE, and wearable monitoring) vs. Direct cardiopulmonary exercise testing (CPET) and electrocardiography (ECG) reference standards was evaluated on Classification and synthesis of exercise prescription uncertainty domains (measurement, estimation, physiological variability, and application/transfer). Exercise intensity prescription in cardiac rehabilitation involves 4 uncertainty domains—including beta-blocker HRmax prediction (SEE 18 bpm) and wrist PPG limits (-21.05 to 18.56 bpm).

synapsesocial.com/papers/6aebc8ba3e63ca1b6c315e23 https://doi.org/10.15758/jk.2026.28.4.234

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Uncertainty in Exercise Intensity Prescription for Cardiac Rehabilitation: A Methodological Review of Measurement Error, Physiological Variability, and Clinical Decision-Making

Key Points

Structured PICO

Limitations

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Implication

Abstract

Discussion

Cite This Study

Uncertainty in Exercise Intensity Prescription for Cardiac Rehabilitation: A Methodological Review of Measurement Error, Physiological Variability, and Clinical Decision-Making

Key Points

Structured PICO

Limitations

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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