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From Blueprint to Practice: An Innovative Dynamic 9-Box Grid Improves Exercise Participation and Aerobic Capacity in Graduate Students | Clinical Trials | Clareo Health

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From Blueprint to Practice: An Innovative Dynamic 9-Box Grid Improves Exercise Participation and Aerobic Capacity in Graduate Students

From Blueprint to Practice: an Innovative Dynamic 9-Box Grid for Enhancing Exercise Adherence and Aerobic Capacity in Graduate Students

NCT07136818•Hainan Normal University

View on ClinicalTrials.gov

Summary

This study aims to develop and validate an innovative dynamic 9-square grid management model to improve aerobic capacity (AC) and physical activity participation among graduate students. The model integrates real-time exercise volume (quantified via smart wearable devices) and aerobic capacity (assessed by 12-minute run tests) into a two-dimensional grid, stratifying participants into five tiers for differentiated interventions. Using a 2 × 3 mixed-design (feedback frequency: weekly vs. monthly; time points: baseline/mid/post-intervention), 32 healthy graduate students are randomized into two groups: Weekly feedback (dynamic position updates + tailored optimization strategies). Monthly feedback (position updates at monthly intervals). Key components include: Multimodal assessment: Objective exercise metrics (Huawei Band 6), AC (12-min run), psychological scales (Exercise Identity Scale, Self-Efficacy for Exercise Scale). Tiered intervention: Customized strategies based on grid positioning (e.g., "Star Talent" optimization vs. "Urgent Attention" support). Primary outcomes: Changes in AC, total exercise volume (TEV), exercise identity, and self-efficacy. The study seeks to determine whether weekly dynamic feedback outperforms monthly feedback in sustaining behavioral change and enhancing physiological adaptation. Ethical approval was obtained from Anqing Normal University (AQNU2024110).

Eligibility

Age

18 - 30 years

Sex

ALL

Healthy Volunteers

Yes

Inclusion Criteria

•Graduate students aged between 18 and 30 years.
•Completion of the Physical Activity Readiness Questionnaire (PAR-Q) to confirm readiness for exercise.
•Completion of a sociodemographic questionnaire (including age, gender, and education level).
•Confirmation of absence of exercise contraindications (e.g., conditions that may prevent safe participation in physical activity).
•Confirmation of absence of cardiovascular disease.
•Confirmation of absence of recent lower-limb injuries (occurring within the past 3 months or less).
•Confirmation of absence of chest pain symptoms.
•Ability to provide written informed consent for voluntary participation.

Exclusion Criteria

•Presence of exercise contraindications identified through the PAR-Q or clinical evaluation.
•History or diagnosis of cardiovascular disease (e.g., heart conditions, stroke, or related disorders).
•Recent lower-limb injuries (e.g., fractures, sprains, or surgeries) within the past 3 months.
•Experience of chest pain symptoms (e.g., angina or discomfort during physical exertion).
•Inability to complete the required questionnaires or assessments due to cognitive or language barriers.
•Presence of any uncontrolled chronic condition that could interfere with exercise participation, as determined by the researchers during screening.

Locations (1)

Hainan Normal University

Haikou, Hainan, China

Key Dates

Start Date

October 14, 2024

Primary Completion Date

December 30, 2024

Completion Date

January 10, 2025

Last Updated

August 22, 2025

Enrollment

ACTUAL participants

Conditions

Improving Low Exercise EngagementAddressing Sedentary BehaviorsEnhancing Aerobic CapacityBridging the Gap Between Exercise Intention and Action

Interventions

Dynamic 9-Square Grid Health Management with Weekly Feedback

BEHAVIORAL

Dynamic 9-Square Grid Health Management with Monthly Feedback

BEHAVIORAL