[中国体重管理与中心建设的现状与挑战]。

Q3 Medicine
S Qu
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引用次数: 0

摘要

近年来,肥胖作为一种慢性和复发性疾病,已成为中国主要的公共卫生挑战。政府已经出台了多项政策来促进体重管理中心的建立。本文结合多年体重集中管理中心建设的经验,结合国家政策和医院特点,从学科发展、学术原则、临床干预和未来发展方向等方面阐述了建立体重集中管理中心的必要性、规范化、进度和挑战。《慢性体重管理与抗肥胖药物临床实践指南(2024版)》强调对肥胖进行多维度评估和阶段性目标管理的必要性。他们提出了一种“治疗成功”的模式,提倡早期药物干预结合生活方式的改变来破坏代谢代偿机制。体重管理中心的建设已逐渐从松散的多学科团队协作向集中管理系统转变。它整合了来自内分泌学、营养学、外科和其他相关领域的资源。然而,挑战依然存在,包括不一致的实施理念和不发达的专业人员专业认证制度。人工智能(AI)技术通过数据集成、个性化干预和远程监控为肥胖管理提供了支持,但应注意数据安全和患者能力。新型抗肥胖药物和微创技术的发展为长期体重管理提供了有希望的新方向。展望未来,需要加强政策落实,构建健全的体重集中管理中心平台,推进多靶点药物研发,深度整合人工智能技术,实现全生命周期肥胖防控目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[The current status and challenges of weight management and the construction of centers in China].

In recent years, obesity as a chronic and relapsing disease, has become a major public health challenge in China. The government has issued multiple policies to promote the establishment of weight management centers. Drawing on years of experience in centralized weight management centers development, national policies, and hospital-specific characteristics, this article elaborates on the necessity, standardization, progress, and challenges of building weight management centers, focusing on discipline development, academic principles, clinical interventions, and future directions. Guideline for chronic weight management and clinical practice of anti-obesity medications (2024 version) emphasize the need for multi-dimensional assessment and staged goal management for obesity. They propose a "treat to success" model, advocating for early pharmacological intervention combined with lifestyle modifications to disrupt metabolic compensatory mechanisms. The construction of weight management centers has been gradually shifted from loosely coordinated multidisciplinary teams towards a centralized management system. This integrates resources from endocrinology, nutrition, surgery, and other relevant fields. However, challenges persist, including inconsistent implementation philosophies and an underdeveloped professional certification system for specialized personnel. Artificial intelligence (AI) technology empowers obesity management through data integration, personalized interventions, and remote monitoring, yet attention should be paid to data security and patient capabilities. The development of novel anti-obesity medications and minimally invasive technologies offers promising new directions for long-term weight management. Looking ahead, future efforts need to strengthen policy implementation, build robust centralized weight management centers platforms, advance multi-target drug development, and deeply integrate AI technologies, which are essential to achieve the goal of lifecycle-wide obesity prevention and control.

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来源期刊
Zhonghua yi xue za zhi
Zhonghua yi xue za zhi Medicine-Medicine (all)
CiteScore
0.80
自引率
0.00%
发文量
400
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