Generative AI-Based Health Education for Older Adults With Sarcopenic Obesity
2026年8月20日 更新者：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.
調査の概要
状態
まだ募集していません
条件
研究の種類
介入
入学 (推定)
500
段階
- 適用できない
連絡先と場所
このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。
研究連絡先
- 名前：Hsin-Yen Yen, PhD
- 電話番号：27749 886-2-2736-1661
- メール：kenji@tmu.edu.tw
研究場所
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Taipei、台湾、110
- Taipei Medical University
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コンタクト：
- Hsin-Yen Yen, PhD
- 電話番号：27749 886-2-2736-166
- メール：kenji@tmu.edu.tw
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参加基準
研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。
適格基準
就学可能な年齢
- 大人
- 高齢者
健康ボランティアの受け入れ
はい
説明
Inclusion Criteria:
- . Age: 60 years or older
- . Smartphone ownership with internet connectivity
- . 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
- . Ability to read, listen, and understand health education materials with normal cognitive function (MMSE score ≥ 25) and normal sensory function.
Exclusion Criteria:
- . Functional dependency
- . Current residence in long-term care facilities or hospitals
- . Presence of serious diagnosed diseases, disabilities, or mental health issues requiring medical treatment that might influence the study process.
研究計画
このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。
研究はどのように設計されていますか？
デザインの詳細
- 主な目的：防止
- 割り当て：ランダム化
- 介入モデル：並列代入
- マスキング：なし（オープンラベル）
武器と介入
参加者グループ / アーム |
介入・治療 |
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介入なし：介入なし
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アクティブコンパレータ：Generative Artificial Intelligence (AI)-based text materials
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Participants receive a text message regarding the health education topic.
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実験的：Generative AI-based video materials
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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.
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実験的：Generative AI-based images materials
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Participants receive one Gen-AI-generated image concerning the health education topic, formatted as a health poster.
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実験的：Generative AI-based voice materials
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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.
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介入なし：Comparator Group
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実験的：Non-Personalized Gen-AI MHE
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Participants receive non-personalized multimodal health education generated by generative AI.
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実験的：Personalized Gen-AI MHE
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Participants receive personalized multimodal health education tailored through generative AI.
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この研究は何を測定していますか？
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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The Chinese version of the Physical Activity Scale for the Elderly
時間枠：Baseline, midpoint (the 6th week), and post-intervention (the 13rd week)
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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).
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Baseline, midpoint (the 6th week), and post-intervention (the 13rd week)
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General Dietary Behavior Inventory
時間枠：Baseline, midpoint (the 6th week), and post-intervention (the 13rd week)
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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.
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Baseline, midpoint (the 6th week), and post-intervention (the 13rd week)
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The skeletal muscle index (SMI)
時間枠：Baseline, midpoint (the 6th week), and post-intervention (the 13rd week)
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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.
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Baseline, midpoint (the 6th week), and post-intervention (the 13rd week)
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Muscle Strength
時間枠：Baseline, midpoint (the 6th week), and post-intervention (the 13rd week)
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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.
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Baseline, midpoint (the 6th week), and post-intervention (the 13rd week)
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二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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The Health-Promoting Lifestyle Profile II
時間枠：Baseline, midpoint (the 6th week), and post-intervention (the 13rd week)
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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).
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Baseline, midpoint (the 6th week), and post-intervention (the 13rd week)
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World Health Organization (WHO)- Quality of Life Scale
時間枠：Baseline, midpoint (the 6th week), and post-intervention (the 13rd week)
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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.
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Baseline, midpoint (the 6th week), and post-intervention (the 13rd week)
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協力者と研究者
ここでは、この調査に関係する人々や組織を見つけることができます。
研究記録日
これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。
主要日程の研究
研究開始 (推定)
2026年10月1日
一次修了 (推定)
2029年12月31日
研究の完了 (推定)
2029年12月31日
試験登録日
最初に提出
2026年8月16日
QC基準を満たした最初の提出物
2026年8月20日
最初の投稿 (実際)
2026年8月24日
学習記録の更新
投稿された最後の更新 (実際)
2026年8月24日
QC基準を満たした最後の更新が送信されました
2026年8月20日
最終確認日
2026年1月1日
詳しくは
本研究に関する用語
その他の研究ID番号
- N202404120
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米国FDA規制医薬品の研究
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