Evidence map›Paper›PMID 41262705›Full record

Trial reportFrontiers in public health2025

From blueprint to practice: an innovative dynamic 9-box grid improves exercise participation and aerobic capacity in graduate students.

Lei Chen, Aichun Li, Wenhao Chen, Hongzhuang Wang, Junlai Zhou, Mingyun Sun

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Lei Chen *School of Physical Education, Hainan Normal University, Haikou, Hainan, China.
Aichun Li *School of Physical Education, Hainan Normal University, Haikou, Hainan, China.
Wenhao ChenSchool of Physical Education, Hainan Normal University, Haikou, Hainan, China.
Hongzhuang WangHaikou No. 1 Middle School, Haikou, Hainan, China.
Junlai ZhouSchool of Physical Education, Hainan Normal University, Haikou, Hainan, China.
Mingyun SunSchool of Physical Education, Anqing Normal University, Anqing, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Graduate students face considerable health risks due to sedentary behavior and academic stress, often demonstrating a marked intention-behavior gap in physical activity (PA). This study developed a two-dimensional 9-box grid model based on total exercise volume (TEV) and aerobic capacity (AC) to compare the efficacy of weekly versus monthly feedback in improving AC and PA participation among graduate students. Methods: A quasi-experimental trial was conducted over eight weeks. Thirty-two graduate students, stratified by baseline AC evaluated in a 12-minute run test, were randomized into two arms, weekly feedback ( Results: Significant group × time interactions were observed for 12-min run distance ( Conclusion: The dynamic 9-box grid model effectively enhances aerobic capacity, promotes physical activity, and strengthens psychological outcomes through dual-axis evaluation and closed-loop feedback. Weekly feedback demonstrates superior efficacy in sustaining behavior modification and facilitating tier progression. This model provides a replicable, theory-informed strategy for health behavior management in graduate student populations.

Indexed as

ExerciseStudentsAdultEducation, GraduateFemaleHumansMaleSelf EfficacyYoung Adultaerobic capacitydynamic 9-box gridexercise self-efficacyfeedback frequencygraduate studentsphysical activitytranstheoretical model

Identifiers

PMID41262705
PMCPMC12623398

What OpenQuestion holds

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LicenceCC BY
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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.