Autonomous Digital Lifestyle Intervention for Weight problems: A Comparative Examine of Software program-Generated vs. Supplier-Delivered Body Composition Outcomes

Abstract

Background: Many way of life intervention apps for weight administration depend on human teaching, which will increase value and variability, or use calorie-counting approaches that lack structured, individualized steerage. Fully autonomous digital platforms that ship customized vitamin and train plans with physique composition monitoring stay restricted. Objective: To examine an autonomous, protein-focused digital way of life intervention (RightBMI App) with provider-delivered way of life intervention for weight reduction and physique composition outcomes in metabolic and bariatric surgical procedure (MBS) candidates. Materials and Methods: This potential quasi-experimental examine enrolled 160 sufferers at a single middle (April 2024-April 2025). Patients have been sequentially allotted to the RightBMI App (n=80) or provider-delivered care (n=80). Outcomes (% whole physique weight reduction [%TBWL], % fats mass loss [%FML], % visceral fats loss [%VFL], and % muscle mass loss [%MML]) have been assessed over 24 weeks utilizing Generalized Estimating Equations (GEE) with a number of imputation and inverse likelihood weighting, adjusting for age, Body Mass Index (BMI), and intercourse. A time-to-event evaluation (Kaplan-Meier and Cox proportional hazards) was carried out as the first sensitivity evaluation to handle informative censoring as a consequence of MBS clearance at ≥10% TBWL. Results: In GEE fashions, the App group confirmed considerably larger %TBWL at weeks 12 (+2.64%, p<0.001) and 16 (+2.47%, p=0.027), and larger %FML at weeks 12 (+2.94%, p=0.028) and 16 (+4.20%, p=0.003) in contrast with provider-delivered care. By week 24, outcomes have been comparable (%TBWL: 20.01% vs 19.97%; %FML: 36.81% vs 35.74%). Both teams achieved substantial fats mass loss whereas preserving muscle mass. Time-to-event evaluation confirmed no important distinction in time to ≥10% TBWL (log-rank p=0.23; adjusted HR 0.83, p=0.43). The App group had the next MBS clearance price by week 24 (90% vs 71.25%, p=0.0023) with low attrition. User satisfaction was excessive (imply 8.76/10). Conclusion: The autonomous RightBMI App demonstrated larger mid-study weight and fats loss in contrast with provider-delivered care after statistical adjustment, with comparable 24-week outcomes and efficient muscle preservation. Time-to-event evaluation confirmed no important distinction in time to attain ≥10% TBWL. These findings help the potential of absolutely autonomous digital platforms as scalable options to conventional provider-led interventions in MBS candidates. Limitations embody the non-randomized design and use of consumer-grade bioimpedance scales.