Evidence map›Paper›PMID 40470031›Full record

ArticleJournal of exercise science and fitness2025

Effects of high-intensity interval training and moderate-intensity continuous training on the functioning of attentional networks and heart rate variability in healthy young adults.

Tian Yue, Fengya Li, Yan Wang

Abstract read
In one paragraph

Article in Journal of exercise science and fitness, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Tian YueKey Laboratory of Sport Training of General Administration of Sport of China, Beijing Sport University, Beijing, 100084, China.
Fengya LiDepartment of Rehabilitation Medicine and Physical Therapy, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.
Yan WangSchool of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing, 100084, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Human attentional mechanisms comprise three distinct networks: alerting, orienting, and executive control. Studies assessing the acute effects of moderate-intensity continuous training (MICT) on these networks have yielded inconsistent results. Similarly, the acute effects of high-intensity interval training (HIIT) on these networks remain unclear. Therefore, this study investigated the effects of HIIT and MICT on the functioning of attentional networks and explored the relationship between heart rate variability (HRV) and these networks in healthy young adults. Methods: Thirty-six healthy college students completed HIIT, MICT, and a resting (CON) session in a randomized cross-over design. The HIIT protocol comprised 10 × 1-min bouts at 100 % peak power output (Wpeak) with 1 min of active recovery at 20 % Wpeak. The MICT protocol was applied at 40 % Wpeak for 30 min. Functioning of the attentional networks was assessed post-intervention using the Attention Network Test for Interactions (ANT-I). HRV was recorded pre- and post-exercise/rest and during the ANT-I. Results: HIIT significantly reduced the alerting function compared to CON ( Conclusion: A single session of HIIT selectively modulated the functioning of attentional networks, decreasing alerting function while enhancing executive control. These effects were partly mediated by increased arousal resulting from parasympathetic withdrawal.

Indexed as

Attention networksCollege studentsHeart rate variabilityHigh-intensity interval trainingModerate-intensity continuous training

Identifiers

PMID40470031
PMCPMC12135363

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.