Evidence map›Paper›PMID 35817993›Full record

ReviewSports medicine (Auckland, N.Z.)2022

Submaximal Fitness Tests in Team Sports: A Theoretical Framework for Evaluating Physiological State.

Tzlil Shushan, Shaun J McLaren, Martin Buchheit, Tannath J Scott, Steve Barrett, Ric Lovell

Open access · hybridAbstract readReview
In one paragraph

Review in Sports medicine (Auckland, N.Z.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
10.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. The FITP: A Controlled Intermittent Running Test for Futsal Athletes.Journal of functional morphology and kinesiology · 2026
    Article
  4. Article
  5. Measured vs. Estimated V˙OSports (Basel, Switzerland) · 2025
    Article
  6. Article
  7. Article
  8. Key factors to prioritize when preparing for the Olympic Games.Journal of sport and health science · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 3 countries.

Tzlil ShushanSchool of Health Sciences, Western Sydney University, Sydney, NSW, Australia. Tzlil21092@gmail.com.ORCID http://orcid.org/0000-0002-0544-1986
Shaun J McLarenNewcastle Falcons Rugby Club, Newcastle upon Tyne, UK.ORCID http://orcid.org/0000-0003-0480-3209
Martin BuchheitHIIT Science, Revelstoke, BC, Canada.
Tannath J ScottNetball Australia, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0003-4336-2370
Steve BarrettDepartment of Sport Science Innovation, Playermaker, London, UK.ORCID http://orcid.org/0000-0002-6751-9937
Ric LovellSchool of Health Sciences, Western Sydney University, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0001-5859-0267
Western Sydney University · AUDurham University · GBInstitut National du Sport, de l'Expertise et de la Performance · FRLeeds Beckett University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Team-sports staff often administer non-exhaustive exercise assessments with a view to evaluating physiological state, to inform decision making on athlete management (e.g., future training or recovery). Submaximal fitness tests have become prominent in team-sports settings for observing responses to a standardized physical stimulus, likely because of their time-efficient nature, relative ease of administration, and physiological rationale. It is evident, however, that many variations of submaximal fitness test characteristics, response measures, and monitoring purposes exist. The aim of this scoping review is to provide a theoretical framework of submaximal fitness tests and a detailed summary of their use as proxy indicators of training effects in team sports. Using a review of the literature stemming from a systematic search strategy, we identified five distinct submaximal fitness test protocols characterized in their combinations of exercise regimen (continuous or intermittent) and the progression of exercise intensity (fixed, incremental, or variable). Heart rate-derived indices were the most studied outcome measures in submaximal fitness tests and included exercise (exercise heart rate) and recovery (heart rate recovery and vagal-related heart rate variability) responses. Despite the disparity between studies, these measures appear more relevant to detect positive chronic endurance-oriented training effects, whereas their role in detecting negative transient effects associated with variations in autonomic nervous system function is not yet clear. Subjective outcome measures such as ratings of perceived exertion were less common in team sports, but their potential utility when collected alongside objective measures (e.g., exercise heart rate) has been advocated. Mechanical outcome measures either included global positioning system-derived locomotor outputs such as distance covered, primarily during standardized training drills (e.g., small-sided games) to monitor exercise performance, or responses derived from inertial measurement units to make inferences about lower limb neuromuscular function. Whilst there is an emerging interest regarding the utility of these mechanical measures, their measurement properties and underpinning mechanisms are yet to be fully established. Here, we provide a deeper synthesis of the available literature, culminating with evidence-based practical recommendations and directions for future research.

Indexed as

ExerciseTeam SportsAthletesExercise TestHeart RateHumans

Identifiers

PMID35817993
PMCPMC9584880
OpenAlexW4285030210

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.