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).
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
DOUBLE
Enrollment
30
A dual-axis management system categorizing participants into a 3x3 grid based on aerobic capacity (12-min run test) and total exercise volume (smart-device tracked). Includes weekly personalized feedback, tiered exercise prescriptions, and goal recalibration. Arm 1 receives updates every 7 days.
Identical grid framework as Arm 1 (aerobic capacity + exercise volume assessment), but with monthly (30-day) feedback cycles. Participants receive delayed optimization strategies and tier adjustments once per calendar month, simulating conventional health programs."
Hainan Normal University
Haikou, Hainan, China
Change in Aerobic Capacity (12-min run distance)
Description: Distance run in meters during standardized 12-minute field test. Measurement Tool: GPS-tracked outdoor run (Keep App + Huawei Band 6).
Time frame: Baseline, Week 5 (mid-intervention), Week 9 (post-intervention).
Exercise Self-Efficacy (SEE-C Scale)
Description: Confidence in maintaining exercise habits (0-90 scale). Measurement Tool: Chinese Self-Efficacy for Exercise Scale (Cronbach's α=0.75).
Time frame: Timeframe: Baseline and Week 9.
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