This study builds upon the previously developed virtual health community platform, aiming to address the group characteristics and psychological traits of prediabetic patients. By employing intervention mapping to construct a group interaction management model, it seeks to develop a mobile platform integrating "gamified knowledge acquisition and motivation", "immersive lifestyle practice experiences", and "sustained community interaction management". The primary focus is on fostering patients' continuous and proactive engagement. Subsequently, a single-arm controlled trial will validate the model's efficacy, aiming to address the health management challenges faced by China's substantial prediabetic population. This initiative seeks to provide theoretical foundations and practical support for primary prevention strategies targeting other chronic diseases and at-risk cohorts.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
PREVENTION
Masking
NONE
Enrollment
60
By collecting general information, physical measurements, glucose and lipid metabolism indicators, dietary habits, and exercise routines from prediabetic patients, these details are input into the virtual community programme for prediabetes. The virtual community evaluates the input data, alerts healthcare professionals to patients requiring immediate intervention, and provides guidance for the forthcoming week regarding diet, exercise, and other health aspects (including dietary and exercise advice for prediabetic patients), alongside risk alerts.
The Third Affiliated Hospital of Sun Yat-sen University
Guangzhou, Guangdong, China
Physical activity
Participants self-reported their daily physical activity levels, with the International Physical Activity Questionnaire (IPAQ) used to assess the frequency, duration, and intensity (i.e., light, moderate, and vigorous activities) of physical activity across different domains (work, transportation, household, and leisure) over the past 7 days.
Time frame: From enrolment to the conclusion of the study, 2 weeks.
Diet
Participants self-reported their daily meal consumption through periodic 24-hour dietary recalls or food diaries. These data were then used to calculate the Planetary Health Diet Score, providing a weekly assessment of diet quality.
Time frame: From enrolment to the conclusion of the study, 2 weeks.
Fasting blood glucose
Time frame: From enrolment to the conclusion of the study, 2 weeks.
Two-hour postprandial blood glucose
Time frame: From enrolment to the conclusion of the study, 2 weeks.
Task Completion Rate
Task Completion Rate is defined as the percentage of target users who successfully met the task criteria within the specified time frame and user scope. It directly reflects the implementation efficiency of the intervention and user adherence (e.g., dietary logging rate, exercise plan execution rate). Formula: Task Completion Rate = (Number of users who successfully completed the task / Total number of target users) × 100%.
Time frame: From enrolment to the conclusion of the study, 2 weeks.
Body Mass Index (BMI)
Time frame: From enrolment to the conclusion of the study, 2 weeks.
Total cholesterol
Time frame: On the first day of enrolment, at the conclusion of the intervention two weeks later.
Triglycerides
Time frame: On the first day of enrolment, at the conclusion of the intervention two weeks later.
High-density lipoprotein cholesterol (HDL-C)
Time frame: On the first day of enrolment, at the conclusion of the intervention two weeks later.
Low-density lipoprotein cholesterol (LDL-C)
Time frame: On the first day of enrolment, at the conclusion of the intervention two weeks later.
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