Evidence map›Paper›PMID 35893188›Full record

ArticleHealthcare (Basel, Switzerland)2022

Quantification of Pre-Season and In-Season Training Intensity across an Entire Competitive Season of Asian Professional Soccer Players.

Hadi Nobari, Akhilesh Kumar Ramachandran, João Paulo Brito, Rafael Oliveira

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

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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

6 citing papers in PubMed.

  1. Observational
  2. Article
  3. Preseason Workload in Collegiate Baseball Pitchers.International journal of sports physical therapy · 2025
    Article
  4. Article
  5. Article
  6. 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

4 authors.

Hadi NobariDepartment of Motor Performance, Faculty of Physical Education and Mountain Sports, Transilvania University of Braşov, 500068 Braşov, Romania.ORCID 0000-0001-7951-8977
Akhilesh Kumar RamachandranSports Dynamix Private Limited, Chennai 600006, India.
João Paulo BritoSports Science School of Rio Maior-Polytechnic Institute of Santarém, 2040-413 Rio Maior, Portugal.ORCID 0000-0003-4357-4269
Rafael OliveiraSports Science School of Rio Maior-Polytechnic Institute of Santarém, 2040-413 Rio Maior, Portugal.ORCID 0000-0001-6671-6229

Funding

Fundação para a Ciência e Tecnologia UIDP/04748/2020
6 · The paper itself

Abstract

The aim of this study was to quantify the training load in two microcycles (Ms) from pre- and another two from in-season and to analyze playing position influences on the load experienced by professional soccer players. Nineteen Asian athletes, including four central defenders, four wide defenders, six central midfielders, three wide midfielders, and two strikers participated in this study. The micro-electromechanical system was used to collect training duration, total distance, and data from Zone 1 (0−3.9 km·h−1), Zone 2 (4−7.1 km·h−1), Zone 3 (7.2−14.3 km·h−1), Zone 4 (14.4−19.7 km·h−1), and Zone 5 (>19.8 km·h−1), heart rate maximum (HRmax), and average (HRavg). The load was reduced on the last day of the Ms, with the exception of Zone 5, in M1, where higher values were found on the last day. Significant differences were observed between central and wide defenders for distance covered in Zone 4 (effect-size: ES = −4.83) in M2 and M4 (ES = 4.96). Throughout all the Ms, a constant HRmax (165−188 bpm) and HRavg (119−145 bpm) were observed. There was a tendency to decrease the load on the last day of the Ms. In general, there were higher external training loads in Ms from the pre-season than in-season. Wide defenders and wide midfielders showed higher distances covered with high-intensity running.

Indexed as

competition phasesheart ratehigh-speed runningload quantificationmonitoringsports technologysprinttraining load

Identifiers

PMID35893188
PMCPMC9330844

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.