Engagement with an Artificial Intelligence (AI)- and CGM-Integrated Digital Health Platform Is Associated with Clinically Significant Weight Loss
Authors' conclusion
Greater engagement with the Signos System was associated with greater weight loss in adults with obesity and without diabetes. Weight loss outcomes were similar regardless of whether engagement occurred earlier or later during platform use. These findings suggest that engagement with AI-guided, CGM-informed behavioral interventions may support clinically meaningful weight reduction. Approved by the WCG Institutional Review Board (protocol no. 20212524) and conducted in accordance with the Declaration of Helsinki.
Study context
- Population
- Adults (≥18 years) with BMI ≥ 30 kg/m² without diabetes enrolled in the Signos System (AI- and continuous glucose monitoring (CGM)-integrated platform)longitudinal cohort
- Participants
- 3,007 adults
- Exposure
- Engaged vs nonengaged periods
- Outcome
- Weight loss percentage per week (WLPW%) during engaged vs nonengaged periods
Methodological detailslongitudinal within-participant analysis, cross-sectional analysis, Approved by the WCG Institutional Review Board; conducted in accordance with the Declaration of Helsinki
- Longitudinal within-participant analysis
- Cross-sectional analysis
- Approved by the WCG Institutional Review Board; conducted in accordance with the Declaration of Helsinki
Main finding
As reported in the abstract
P < 0.001
Observational data: associations, not effects.
Further findings
| Outcome | Higher engagement (TMAPD ≥ 1.02) | Lower engagement | P value |
|---|---|---|---|
| TBWL by engagement level, 180-day cohort | 5.90% ± 0.25% | 4.38% ± 0.23% | P < 0.001 |
- Weight loss during engaged periods, early vs late engagers · did not differ significantly
- P > 0.05
Total body weight loss (TBWL), 180-day cohort (n = 1,147)
- Mean TBWL
- 5.14% ± 0.19%
Original publication
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