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

2026년 8월 20일 업데이트: Taipei Medical University

An Exploration of Health-Promoting Effects of Personalized AI-Generated Multimedia Health Education in Community-Dwelling Older Adults With Sarcopenic Obesity

Sarcopenic obesity is a major public health concern among community-dwelling older adult populations.Encouraging healthy behavior modification through health education emerges as an effective strategy for preventing and treating sarcopenic obesity. Generative Artificial Intelligence (AI) offers an innovative opportunity to tailor health education for aging populations. This study aims to explore the effectiveness of Personalized AI-generated Multimedia Health Education in community-dwelling older adults with sarcopenic obesity. The study comprises two phases, with 280 participants in Study 1 and 180 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 controlled trial design, creating Personalized AI-generated Multimedia Health Education based on participant preferences. All materials focus on behavioral risk factors, delivered by social media-based AI chatbots. The intervention is conducted once a day, five days a week for 12 weeks.Structured questionnaires and objective instruments collect data before and after the intervention. The study outcome includes behavioral and psychological factors, quality of life, and sarcopenic obesity indicators. Statistical analyses include descriptive analyses, Chi-square tests, t-tests, One-way analysis of variance, path models, and generalized estimating equations. This study anticipates that Personalized AI-generated Multimedia Health Education will be a feasible, acceptable, and effective intervention for older adults. The study results are expected to demonstrate a significant improvement in study outcomes in the experimental group. Personalized AI-generated multimedia health education could be an easy-to-use,enjoyable, and effective strategy for health promotion and sarcopenic obesity prevention.

연구 개요

연구 유형

중재적

등록 (추정된)

500

단계

  • 해당 없음

연락처 및 위치

이 섹션에서는 연구를 수행하는 사람들의 연락처 정보와 이 연구가 수행되는 장소에 대한 정보를 제공합니다.

연구 연락처

  • 이름: Hsin-Yen Yen, PhD
  • 전화번호: 27749 886-2-2736-1661
  • 이메일: kenji@tmu.edu.tw

연구 장소

      • Taipei, 대만, 110
        • Taipei Medical University
        • 연락하다:
          • Hsin-Yen Yen, PhD
          • 전화번호: 27749 886-2-2736-166
          • 이메일: kenji@tmu.edu.tw

참여기준

연구원은 적격성 기준이라는 특정 설명에 맞는 사람을 찾습니다. 이러한 기준의 몇 가지 예는 개인의 일반적인 건강 상태 또는 이전 치료입니다.

자격 기준

공부할 수 있는 나이

  • 성인
  • 고령자

건강한 자원 봉사자를 받아들입니다

예

설명

Inclusion Criteria:

  1. . Age: 60 years or older
  2. . Smartphone ownership with internet connectivity
  3. . Appendicular fat-free mass (AFFM) calculated by the equation: AFFM = 14.529 + (17.989 * height)+ (0.1307 * fat mass). The cut-off value corresponds to a residual ≤ 3.4 in the equation
  4. . Ability to read, listen, and understand health education materials with normal cognitive function (MMSE score ≥ 25) and normal sensory function.

Exclusion Criteria:

  1. . Functional dependency
  2. . Current residence in long-term care facilities or hospitals
  3. . Presence of serious diagnosed diseases, disabilities, or mental health issues requiring medical treatment that might influence the study process.

공부 계획

이 섹션에서는 연구 설계 방법과 연구가 측정하는 내용을 포함하여 연구 계획에 대한 세부 정보를 제공합니다.

연구는 어떻게 설계됩니까?

디자인 세부사항

  • 주 목적: 방지
  • 할당: 무작위
  • 중재 모델: 병렬 할당
  • 마스킹: 없음(오픈 라벨)

무기와 개입

참가자 그룹 / 팔
개입 / 치료
간섭 없음: 간섭 없음
활성 비교기: Generative Artificial Intelligence (AI)-based text materials
Participants receive a text message regarding the health education topic.
실험적: Generative AI-based video materials
Participants receive a video message , accompanied by AI-generated background music at the beginning and end. Male avatars are used for PA and SO education, and female avatars are used for HD education.
실험적: Generative AI-based images materials
Participants receive one Gen-AI-generated image concerning the health education topic, formatted as a health poster.
실험적: Generative AI-based voice materials
Participants receive a podcast-style voice message regarding the health education topic. The recording incorporates AI-generated background voice. Male voices are utilized for physical activity (PA) education, while female voices are used for healthy diet (HD) and sarcopenic obesity (SO) education.
간섭 없음: Comparator Group
실험적: Non-Personalized Gen-AI MHE
Participants receive non-personalized multimodal health education generated by generative AI.
실험적: Personalized Gen-AI MHE
Participants receive personalized multimodal health education tailored through generative AI.

연구는 무엇을 측정합니까?

주요 결과 측정

결과 측정
측정값 설명
기간
The Chinese version of the Physical Activity Scale for the Elderly
기간: Baseline, midpoint (the 6th week), and post-intervention (the 13rd week)
This questionnaire consists of 12 items assessing physical activity (PA) over the past 7 days, including leisure-time, household, and occupational activities. Total, light-, moderate-, and vigorous-intensity PA can be calculated in metabolic equivalents of task-minutes per week (MET-min/week).
Baseline, midpoint (the 6th week), and post-intervention (the 13rd week)
General Dietary Behavior Inventory
기간: Baseline, midpoint (the 6th week), and post-intervention (the 13rd week)
A total of 16 items measure participants' healthy behaviors using a 5-point bipolar scale.The score of each item is summed up to a total score, with a higher score representing healthier dietary behavior.
Baseline, midpoint (the 6th week), and post-intervention (the 13rd week)
The skeletal muscle index (SMI)
기간: Baseline, midpoint (the 6th week), and post-intervention (the 13rd week)
A body composition analyzer using bioelectrical impedance analysis technology is conducted. A higher score (kg/m2) of the skeletal muscle index (SMI) indicates greater muscle mass for sarcopenic indicators.
Baseline, midpoint (the 6th week), and post-intervention (the 13rd week)
Muscle Strength
기간: Baseline, midpoint (the 6th week), and post-intervention (the 13rd week)
Muscle strength is assessed using a handheld grip device (SANKA, Japan). Participants are asked to stand, allow the wrist and arm of the dominant hand to hang straight down, and maintain maximum strength for more than 3 seconds. This measurement is repeated three times, and the maximum value (kg) is used as the muscle strength.
Baseline, midpoint (the 6th week), and post-intervention (the 13rd week)

2차 결과 측정

결과 측정
측정값 설명
기간
The Health-Promoting Lifestyle Profile II
기간: Baseline, midpoint (the 6th week), and post-intervention (the 13rd week)
The Health-Promoting Lifestyle Profile II consists of 29 items measuring participants' engagement in healthy lifestyles. A 4-point Likert scale is used (1 never, 2 sometimes, 3 frequently, and 4 regularly).
Baseline, midpoint (the 6th week), and post-intervention (the 13rd week)
World Health Organization (WHO)- Quality of Life Scale
기간: Baseline, midpoint (the 6th week), and post-intervention (the 13rd week)
A shorter version with 28 questions. The scale evaluates various aspects of life, including physical health, psychological state, social relationships, and environmental factors, scored between 1 and 5.
Baseline, midpoint (the 6th week), and post-intervention (the 13rd week)

공동 작업자 및 조사자

여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.

연구 기록 날짜

이 날짜는 ClinicalTrials.gov에 대한 연구 기록 및 요약 결과 제출의 진행 상황을 추적합니다. 연구 기록 및 보고된 결과는 공개 웹사이트에 게시되기 전에 특정 품질 관리 기준을 충족하는지 확인하기 위해 국립 의학 도서관(NLM)에서 검토합니다.

연구 주요 날짜

연구 시작 (추정된)

2026년 10월 1일

기본 완료 (추정된)

2029년 12월 31일

연구 완료 (추정된)

2029년 12월 31일

연구 등록 날짜

최초 제출

2026년 8월 16일

QC 기준을 충족하는 최초 제출

2026년 8월 20일

처음 게시됨 (실제)

2026년 8월 24일

연구 기록 업데이트

마지막 업데이트 게시됨 (실제)

2026년 8월 24일

QC 기준을 충족하는 마지막 업데이트 제출

2026년 8월 20일

마지막으로 확인됨

2026년 1월 1일

추가 정보

이 연구와 관련된 용어

기타 연구 ID 번호

  • N202404120

약물 및 장치 정보, 연구 문서

미국 FDA 규제 의약품 연구

아니

미국 FDA 규제 기기 제품 연구

아니

이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .

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