Evidence map›Paper›PMID 41048626›Full record

ArticleFrontiers in sports and active living2025

Periodization for success-in-season external training loads relative to competition load in American football.

Quincy R Johnson, Yang Yang, Dimitrije Cabarkapa, Dayton Sealey, Shane Stock, Dalton Gleason, Clay Frels, Madi Rink, Andrew C Fry

Abstract read
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In one paragraph

Article in Frontiers in sports and active living, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Quincy R JohnsonJayhawk Athletic Performance Laboratory, Wu Tsai Human Performance Alliance, Department of Health, Sport and Exercise Sciences, University of Kansas, Lawrence, KS, United States.
Yang YangJayhawk Athletic Performance Laboratory, Wu Tsai Human Performance Alliance, Department of Health, Sport and Exercise Sciences, University of Kansas, Lawrence, KS, United States.
Dimitrije CabarkapaJayhawk Athletic Performance Laboratory, Wu Tsai Human Performance Alliance, Department of Health, Sport and Exercise Sciences, University of Kansas, Lawrence, KS, United States.
Dayton SealeyPhysical Activity and Wellness Laboratory, Department of Kinesiology and Sport Sciences, University of Nebraska-Kearney, Kearney, NE, United States.
Shane StockAthletics Department, University of Nebraska-Kearney Football, University of Nebraska-Kearney, Kearney, NE, United States.
Dalton GleasonAthletics Department, University of Nebraska-Kearney Football, University of Nebraska-Kearney, Kearney, NE, United States.
Clay FrelsPhysical Activity and Wellness Laboratory, Department of Kinesiology and Sport Sciences, University of Nebraska-Kearney, Kearney, NE, United States.
Madi RinkJayhawk Athletic Performance Laboratory, Wu Tsai Human Performance Alliance, Department of Health, Sport and Exercise Sciences, University of Kansas, Lawrence, KS, United States.
Andrew C FryJayhawk Athletic Performance Laboratory, Wu Tsai Human Performance Alliance, Department of Health, Sport and Exercise Sciences, University of Kansas, Lawrence, KS, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Despite an exponential development in performance monitoring technologies, the physical performance demands of sport remain an understudied topic in scientific literature. Thus, the primary purpose of this study was to quantify and compare the training loads (TL) of a collegiate American football team between in-season practices and official games by general position group, event type, and to assess the interaction between the two. Methods: Twenty-seven NCAA Division-II athletes volunteered to participate in this investigation. In-season TL during 32 practices (categorized as days before game day; GD minus) and 11 conference games were recorded using global positioning system technology. Collected data included total duration, total distance, yards traveled per minute, hard running distance, hard running efforts, 2-dimensional (2D) load, and 3-dimensional (3D) load. Results: A factorial analysis of variance revealed significant main effects in TL for event type ( Discussion: These findings can improve the current understanding of practice demands relative to games, which may support more optimal sport-specific periodization approaches within American football.

Indexed as

athlete monitoringGPShealthperformancesport science

Identifiers

PMID41048626
PMCPMC12489946

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.