课题基金 / 基金详情

Preventing obesity through Biologically and bEhaviorally Tailored inTERventions for you | BETTER4U

Preventing obesity through Biologically and bEhaviorally Tailored inTERventions for you | BETTER4U
通过为您量身定制的生物学和行为干预措施来预防肥胖 |
批准号:
10093560
负责人:
金额:
$33.39万
依托单位国家:
英国
项目类别:
EU-Funded
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

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中文摘要
翻译
BETTER4U 旨在通过同质、全球适应性和经过实际评估的公共卫生举措和关键干预措施,识别和个性化管理所有体重增加决定因素,以应对日益增加的超重/肥胖人数。在之前的重点项目和生物库的基础上,该项目将重点关注迄今为止被忽视的体重增加多基因背景对超重/肥胖人群体重管理生活方式干预措施有效性的影响。 BETTER4U旨在借助现代人工智能技术和世界各地专家的贡献,探讨全球肥胖挑战,研究问题并提供切实可行的解决方案。 BETTER4U 将通过以下目标实现: 1. 通过荟萃分析(BETTER4U 数据来自超过 50 项研究、超过 100 万人)和广泛的文献荟萃审查,全面了解和解读与整个生命过程中体重增加相关的遗传学、代谢组学、微生物群、社会经济、地理、文化和生活方式特征。 2. 基于肥胖决定因素的因果 AI 模型和在 7 个欧洲国家进行的试点研究,开发预防体重增加的 BETTER4U 干预方法。 3.部署技术辅助的实时监测工具来测量详细的行为指标及其与环境背景的关系。 4.根据针对生活方式改变的个性化建议,在对照、随机临床试验中评估新型 BETTER4U 干预方法的功效。 5. 通过识别实施障碍和促进因素,以及评估参与者和利益相关者的实施结果,最大限度地提高 BETTER4U 干预方法的可移植性和适用性。 6. 采用以人为本的可持续护理方法,制定并传播 BETTER4U 肥胖预防干预方法指南。
英文摘要
BETTER4U aims at the identification and personalized management of all weight gain determinants to battle the increasingly rising numbers of overweight/obesity, via homogenous, globally adaptable and practically assessed public health initiatives and key interventions. Building on previous key projects and biobanks, the project will focus on the hitherto neglected impact of the polygenic background of weight gain on the effectiveness of lifestyle interventions for weight management in people with overweight/obesity. BETTER4U aims to probe into the global obesity challenge, study the problem and offer solutions in a tangible realistic way with the assistance of modern AI technologies and the contribution of experts around the world. BETTER4U will be realized through the following objectives: 1. To comprehensively understand and decipher genetics, metabolomics, microbiota,socio-economic, geographical, cultural and lifestyle features linked to weight gain throughout the life course, via meta-analyses (BETTER4U data from >50 studies, >1 million individuals) and extensive literature meta-review. 2.To develop the BETTER4U intervention methodology for weight gain prevention, based on a causal AI model of obesity determinants and a pilot study in 7 European countries. 3.To deploy technologyassisted, real-time monitoring toolsto measure detailed behavioral indicators and their relation to the environmental context. 4.To evaluate the efficacy of the novel BETTER4U intervention methodology in a controlled, randomized clinical trial, based on individually-tailored recommendations for lifestyle change. 5.To maximize transferability and applicability of the BETTER4U intervention methodology by identifying implementation barriers and facilitators, as well as to evaluate implementation outcomes in both participants and stakeholders. 6. To develop and disseminate the BETTER4Uobesity prevention intervention methodology guidelines using a peoplecentred, sustainable care approach.
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