Generative AI-Based Health Education for Older Adults With Sarcopenic Obesity

Sarcopenic obesity is a major public health concern among community‐dwelling older adultpopulations.Encouraging healthy behavior modification through health education emerges asan effective strategy for preventing and treating sarcopenic obesity. GenerativeArtificial Intelligence (AI) offers an innovative opportunity to tailor health educationfor aging populations. This study aims to explore the effectiveness of PersonalizedAI‐generated Multimedia Health Education in community‐dwelling older adults withsarcopenic obesity. The study comprises two phases, with 280 participants in Study 1 and180 in Study 2.Study 1, a cluster randomized controlled trial, explores the feasibility,acceptability, and efficacy of different AI‐generated multimedia, including images,sounds, and videos. Study 2 employs a three‐armed,individually randomized controlledtrial design, creating Personalized AI‐generated Multimedia Health Education based onparticipant preferences. All materials focus on behavioral risk factors, delivered bysocial media‐based AI chatbots. The intervention is conducted once a day, five days aweek for 12 weeks.Structured questionnaires and objective instruments collect data beforeand after the intervention. The study outcome includes behavioral and psychologicalfactors, quality of life, and sarcopenic obesity indicators. Statistical analyses includedescriptive analyses, Chi‐square tests, t‐tests, One‐way analysis of variance, pathmodels, and generalized estimating equations. This study anticipates that PersonalizedAI‐generated Multimedia Health Education will be a feasible, acceptable, and effectiveintervention for older adults. The study results are expected to demonstrate asignificant improvement in study outcomes in the experimental group. PersonalizedAI‐generated multimedia health education could be an easy‐to‐use,enjoyable, and effectivestrategy for health promotion and sarcopenic obesity prevention.