fatigue
Conditions
Interventions
AI Exercise Prescription Group:A total of 100 participants received personalized AI-generated exercise prescriptions based on multimodal health data and adaptive AI algorithms. Prescription parameters
General Exercise Group:A total of 100 participants in the conventional exercise group received standardized exercise guidelines. Both groups participated in structured classroom-based exercise interve
Teachers provided regular performance feedback to enhance engagement
All sessions were randomly audited by the research team to verify compliance with movement standards and intervention fidelity.
Sponsors
Guangzhou College of Commerce
Eligibility
Sex/Gender
All
Age
18 Years to 25 Years
Inclusion criteria
Inclusion criteria: 1 Aged 18–25 years; 2 Self-reported fatigue symptoms; 3 Fatigue Severity Scale (FSS) score >= 36 or VAS fatigue score >=1 (0–10 scale) (meeting either qualifies); 4 Sedentary lifestyle (<150 minutes of moderate-intensity exercise/week); 5 Able to complete the 3-month exercise intervention; 6 Capable of providing complete multimodal smart health exam data;
Exclusion criteria
Exclusion criteria: 1 Diagnosis of depression or anxiety disorders during the study period; 2 Use of psychoactive medications (e.g., opioids, antidepressants) that may affect mood; 3 Poor adherence to the exercise intervention; 4 Presence of contraindications to physical activity.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Fatigue Assessment;Lung Capacity; | — |
Secondary
| Measure | Time frame |
|---|---|
| 1000m Run (Men) / 800m Run (Women) Time;50m Run Time;Sit-and-Reach Test;Standing Long Jump;1-Minute Pull-Ups (Male)/Sit-Ups (Female);VO2max Indirect Method;Heart Rate Recovery (HRR) ;6-Minute Walk Test (6MWT);Steps per day (steps/day) ;Moderate-intensity activity (heart rate) and duration;Sedentary time;BMI; International Physical Activity Questionnaire Short Form (IPAQ-SF); | — |
Countries
china
Contacts
Public ContactDongruiqing
Guangzhou College of Commerce
Outcome results
None listed