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Related Experiment Video

Updated: Feb 14, 2026

The Impact of Motor Task Conditions on Goal-Directed Arm Reaching Kinematics and Trunk Compensation in Chronic Stroke Survivors
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Modifiable and Non-Modifiable Predictors of Exercise Capacity in Stroke Survivors: A Systematic Review.

Klaske van Kammen1, Lotte A J Verkuijlen1,2, Ana B Nasser1,2

  • 1Department of Rehabilitation Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.

Healthcare (Basel, Switzerland)
|February 13, 2026
PubMed
Summary

Modifiable factors like BMI and strength, alongside non-modifiable factors like age and diabetes, significantly predict exercise capacity in stroke survivors. Understanding these predictors aids personalized rehabilitation.

Keywords:
VO2peakbody compositioncardiorespiratory fitnessfatiguelower limb strengthpersonalized carerehabilitation treatmentstrokesystematic reviewtraining intensity

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Area of Science:

  • Rehabilitation Medicine
  • Cardiovascular Physiology
  • Neurology

Background:

  • Stroke survivors often experience reduced exercise capacity, impacting long-term health and recovery.
  • Identifying predictors of exercise capacity is crucial for optimizing rehabilitation strategies.
  • Understanding both modifiable and non-modifiable factors can enhance treatment personalization.

Purpose of the Study:

  • To systematically review and identify modifiable and non-modifiable predictors of exercise capacity (VO2peak) in stroke survivors.
  • To inform the optimization of rehabilitation treatments for improved long-term health outcomes.
  • To guide healthcare professionals in tailoring rehabilitation programs.

Main Methods:

  • Systematic literature search of PubMed, EMBASE, CINAHL, and Web of Science databases.
  • Inclusion of studies measuring VO2peak in adult stroke survivors with analyzed predictors in multivariate regression models.
  • Risk of bias assessment using the McMaster Critical Review Form for Quantitative Studies.

Main Results:

  • Seventeen articles were included, identifying significant modifiable predictors: BMI, fat mass, lower limb strength, baseline VO2peak, training intensity, and perceived fatigue.
  • Significant non-modifiable predictors included age, sex, diabetes, and stroke-specific factors.
  • These factors were shown to significantly predict VO2peak levels or changes.

Conclusions:

  • Both modifiable and non-modifiable predictors play a significant role in optimizing exercise capacity post-stroke.
  • Personalized treatment planning can be achieved by considering these diverse predictors.
  • Further research is recommended to develop a comprehensive prediction model for exercise capacity in stroke survivors.