Artificial Intelligence-Enabled Mobile Health Intervention (mDiabetes) to Reduce Diabetes Risk Behaviors in Rural India: Quasi-Experimental Pre-Post Study.

ABSTRACT:

Background

India faces a dual burden of diabetes and prediabetes. Although mobile health (mHealth) interventions have shown promise in promoting healthy lifestyle changes, most interventions deploy generic, "one-size-fits-all" messages that do not consider individual behavioral patterns, motivational states, or changing needs over time.

Objective

This formative evaluation study aimed to assess the effectiveness of an artificial intelligence (AI)-enabled, personalized mHealth messaging intervention (mDiabetes) compared to traditional, nonpersonalized mHealth messaging in promoting engagement with diabetes risk reduction behaviors among adults in Gulbarga, Karnataka, South India.

Methods

A quasi-experimental pre-post study was conducted among adults without diabetes (N=

SUBMITTER: Chadwick J 

PROVIDER: S-EPMC12717508 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature