CClinicalTrials.gg
CompletedNCT07160972Updated Dec 2, 2025

AI-Based Lifestyle Guidance Study

An interventional study of Lifestyle Management in Diabetes, sponsored by Li Huating. Completed at 1 site in China. Open to participants aged 18 Years to 70 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2025-12-02.

Sponsored by Li Huating · Not applicable, Interventional, and Treatment

Phase
Not applicable
Study type
Interventional
Enrollment
20
Allocation
Not applicable
Ages
18 Years to 70 Years
Sex
All
01

Study summary

The X Life model is an innovative AI-based lifestyle guidance system designed to provide tailored health management recommendations for individuals with T2DM or prediabetes, leveraging continuous glucose monitoring (CGM) data, wearable activity and sleep metrics, and baseline clinical information. Despite its potential, a lack of in-depth understanding of real-world user experiences remains a key barrier to clinical adoption.

This exploratory user study aims to systematically assess the usability, acceptability, and user experience of the X Life model in the target population, to identify facilitators and barriers to adoption, and to preliminarily explore the association between X Life use and changes in user-reported outcomes, behavior patterns, and device-monitored health metrics.

02

Conditions studied

  • Diabetes

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03

In context

Diabetes Mellitus

10,925 studies on the registry are indexed under Diabetes Mellitus; 1,319 are open to participants now.

This study's enrollment of 20 is below the median of 80 across 8,367 interventional studies indexed under Diabetes Mellitus.

Browse Diabetes Mellitus studies →

Lead sponsor

Li Huating is the lead sponsor of 3 studies on the registry; none are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 70 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Inclusion criteria

  • Age 18-70 years.
  • Prediabetes or Type 2 diabetes mellitus (diagnosed according to recognized clinical criteria).
  • Owns and is proficient in using a smartphone with compatible applications.
  • Willing and able to wear study devices (CGM, activity tracker).
  • Willing to use the X Life model terminal and comply with study procedures.
  • Able to understand and provide written informed consent (including participation in interviews).

Exclusion criteria

Exclusion Criteria:

  • Severe chronic diabetic complications or recent acute diabetic complications.
  • Early-onset adult T2DM.
  • Recent severe hypoglycemic events.
  • Cognitive impairment.
  • Pregnancy, severe hepatic/renal/thyroid disease, acute infection, psychiatric disorders affecting participation.
  • Planned major surgery or treatment likely to significantly impact glucose or weight during the study period.
  • Allergy to device materials (CGM sensor, activity tracker, AI terminal).
  • Any condition deemed unsuitable by the investigator.
05

Study design

Phase
Not applicable
Primary purpose
Treatment
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
20 participants (actual)

Study arms

  • Experimental
    X Life Intervention

    Participants will use the X Life system via AR glasses or mobile terminal (smartphone/tablet) for 7 days. The system provides personalized dietary and exercise recommendations at dynamic trigger points (before/after meals, before/after exercise, before bedtime) using baseline clinical data, real-time CGM readings, dietary images, activity data, and wearable monitoring (activity, sleep, heart rate). Standard care guidance will also be provided in accordance with national dietary and physical activity guidelines.

    Other: Lifestyle Management

Interventions

  • OtherLifestyle Management

    Participants will use the X Life system via AR glasses or mobile terminal (smartphone/tablet) for 7 days. The system provides personalized dietary and exercise recommendations at dynamic trigger points (before/after meals, before/after exercise, before bedtime) using baseline clinical data, real-time CGM readings, dietary images, activity data, and wearable monitoring (activity, sleep, heart rate). Standard care guidance will also be provided in accordance with national dietary and physical activity guidelines.

06

What researchers measure

Primary outcomes

  1. User Experience Score

    User experience will be assessed using a validated questionnaire covering usability, usefulness, satisfaction, and acceptability. Each item is rated on a 5-point Likert scale. Higher scores indicate better user experience.

    Time frame: 7 days after intervention initiation

Secondary outcomes

  1. Change in self-reported diabetes self-management behaviors

    Diabetes self-care activities will be assessed using the SDSCA scale. Each item is rated on a scale of 0-7 days. Higher scores indicate better self-management behavior.

    Time frame: Baseline and 7 days after intervention initiation

  2. Change in diabetes-related distress

    Diabetes distress will be assessed using the DDS. Each item is rated on a 6-point Likert scale. Higher scores indicate greater distress.

    Time frame: Baseline and 7 days after intervention initiation

  3. Change in self-efficacy

    Self-efficacy will be assessed using the validated Self-Efficacy Scale. Each item is rated on a 10-point Likert scale. Higher scores indicate greater self-efficacy.

    Time frame: Baseline and 7 days after intervention initiation

  4. Composite Wearable Device Metrics

    Physiological and behavioral data will be captured by wearable devices. Each metric will be reported and analyzed separately: Daily activity level: Steps/day; Sleep duration: Hours/night; Sleep architecture: % of light/deep/REM sleep; Resting heart rate: Beats per minute, etc.

    Time frame: Baseline and 7 days after intervention initiation

  5. Correlation between AI-predicted and actual CGM glucose values

    intraclass correlation, mean absolute relative difference, RMSE, Bland-Altman analysis, etc.

    Time frame: From baseline to 7 days after intervention initiation

  6. Change in psychological well-being

    Psychological well-being will be assessed using the WHO-5 Well-Being Index, a validated 5-item questionnaire. Each item is rated on a 6-point Likert scale (0 = at no time, 5 = all of the time). Raw scores range from 0 to 25, which are multiplied by 4 to yield a final score ranging from 0 to 100. Higher scores indicate better well-being.

    Time frame: Baseline and 7 days after intervention initiation

  7. Composite Continuous Glucose Monitoring (CGM) Metrics

    Glycemic control and variability will be evaluated using multiple CGM-derived measures. Each metric will be reported and analyzed separately: Time in Range (TIR): % of glucose values within 3.9-7.8 (for individuals without diabetes) or 10.0 (for individuals with diabetes) mmol/L; Mean glucose: mmol/L; Coefficient of variation (CV): %; Time above range (TAR): % of glucose values \>10.0 mmol/L; Time below range (TBR): % of glucose values \<3.9 mmol/L, etc.

    Time frame: Baseline, 7 days after intervention initiation

  8. Expert Panel Evaluation of AI-Generated Dietary Recommendations

    Independent nutrition experts will score the AI-generated dietary recommendations using two validated diet-quality indices. Each index will be reported and analyzed separately: AHEI-2010: Overall score 0-110, higher = better diet quality. Standard 11 components (each 0-10), summed to total; DQI-I: Overall score 0-100, higher = better diet quality. Standard four domains (variety, adequacy, moderation, overall balance), etc.

    Time frame: 7 days after intervention initiation

  9. Expert Panel Evaluation of AI-Generated Exercise Recommendations

    Exercise recommendations generated by the system will be evaluated by an expert panel using a validated structured rating scale. The scale includes five dimensions (Timing, Glycemic Safety, Individualization, FITT principle and Feasibility \& Clarity), each scored independently, with a total score calculated as the weighted sum of all domains. Each domain scored 0-2 (0 = not met, 1 = partially met, 2 = fully met). Weighted composite score range: 0-10. Higher scores indicate better quality of exercise recommendations.

    Time frame: 7 days after intervention initiation

07

Study locations

1 site
  • Shanghai Sixth People's Hospital
    Shanghai, China
08

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Dec 2, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
09

Registry details

Key details

Study ID
NCT07160972
Lead sponsor
Li Huating
Responsible party
Li Huating (Professor, Shanghai 6th People's Hospital) — Sponsor-investigator
First posted
Sep 8, 2025
Start date
Sep 7, 2025
Primary completion
Sep 21, 2025
Completion
Sep 30, 2025
Last update
Dec 2, 2025

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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This study is completed, as verified in Nov 2025. You cannot join it, but the record below documents what was studied.

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