Evidence map›Paper›PMID 41004099›Full record

ReviewAdvances in neurobiology2025

Acute Exercise Effects on Executive Function: Exploring the Relationship and Moderating Factors Through the 3W+1H Framework.

Feng-Tzu Chen, Chen-Sin Hung, Nai-Chi Chen, Yu-Kai Chang

Abstract readReview
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In one paragraph

Review in Advances in neurobiology, 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

4 authors.

Feng-Tzu ChenDepartment of Kinesiology, National Tsing Hua University, Hsinchu, Taiwan.
Chen-Sin HungDepartment of Physical Education and Sports Sciences, National Taiwan Normal University, Taipei, Taiwan.
Nai-Chi ChenDepartment of Physical Education and Sports Sciences, National Taiwan Normal University, Taipei, Taiwan.
Yu-Kai ChangDepartment of Physical Education and Sports Sciences, National Taiwan Normal University, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This chapter delves into the impact of acute exercise on executive function-a key component of cognitive functions. Despite a robust body of evidence showcasing the substantial benefits of chronic exercise on executive function, a notable gap exists in our understanding of its acute effects. The chapter unfolds in four key segments. Firstly, it provides a succinct definition of executive function. Subsequently, it synthesizes findings from previous systematic reviews and meta-analyses, elucidating the overall impact of acute exercise on executive function. Despite occasional discrepancies in individual studies, a consistent positive association emerges. The third segment employs the 3W+1H framework to explore moderators shaping this relationship, scrutinizing the "Who, What, When, and How" factors. Through this lens, the chapter aims to uncover nuanced conditions under which acute exercise optimally enhances executive function. Lastly, the chapter outlines future research directions, emphasizing the necessity for targeted investigations to refine our understanding of the intricate interplay between acute exercise and executive function. This inquiry contributes to the ongoing discourse on the benefits of exercise for executive function, offering insights with potential applications in both research and practical contexts to promote cognitive well-being.

Indexed as

Executive FunctionExerciseCognitionHumansCognitive functionPhysical activitySingle bout of exerciseWorking memory

Identifiers

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.