Evidence Hub

The Acute Effects of Short-Bout High-Intensity Interval Training on Physiological and Perceptual Outcomes: A Systematic Review and Meta-analysis

Thurlow F, Cowley N, Slattery K, Weakley J

Sports medicine (Auckland, N.Z.), 2026

Abstract

Background: Understanding the acute demands of short-bout high-intensity interval training can enhance training outcomes.

Objective: We aimed to examine the acute physiological and perceptual demands of short-bout high-intensity interval training in athletes and identify how they are moderated by programming variables, fitness level and competitive level.

Methods: We searched the databases PubMed, SPORTDiscus and CINAHL on 2 December, 2025 for original research articles investigating running-based, short-bout high-intensity interval training in healthy athletes, aged 16-40 years, of any sex, who were recreationally active or above. Outcomes were analysed using a multi-level mixed-effects meta-analysis. The analysed outcomes were: average heart rate (HRavg), peak heart rate (HRpeak), peak and average oxygen consumption (VO2), time > 90% of maximal oxygen consumption (T > 90% VO2max), time > 95% of VO2max (T > 95% VO2max), T > 90% VO2max/exercise time ratio (T90/ET), T > 95% VO2max/exercise time ratio (T95/ET), blood lactate concentration (B[La]) and session ratings of perceived exertion (sRPE). To examine the influence of programming variables, fitness level, and competitive level, a meta-regression was performed on moderators with ten or more samples. Effects were evaluated based on coverage of their confidence limits against elected thresholds of practical importance.

Results: From 139 data samples within 46 studies, the pooled demands (± 90% confidence limit) of short-bout…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free