Construction of A Weight Management Model Integrating State-Target Adjustment, Energy Restriction, and Nudging for Populations with Metabolic Dysfunction-Associated Fatty Liver Disease

Author：WANG Jingzhi1,2,3, XIAO Mingzhong1,2,3, GAO Xiaolian3,4, TAO Junxiu1,2,3, XIANG Cong4, LUO Yanling4, OUYANG Kani1,2,3, LU Libi1,2,3

Unit：1.Hubei Provincial Hospital of Traditional Chinese Medicine / Institute of Liver Diseases, Hubei Key Laboratory of Traditional Chinese Medicine Theory and Application for Liver and Kidney Research, Wuhan Hubei 430061, China; 2.Affiliated Hospital of Hubei University of Chinese Medicine, Wuhan Hubei 430061, China; 3.Hubei Shizhen Laboratory, Wuhan Hubei 430065, China; 4.School of Nursing, Hubei University of Chinese Medicine, Wuhan Hubei 430070, China

Quote：引用：王景芝，肖明中，高小莲，陶军秀，向聪，罗燕玲，欧阳卡妮，鲁利碧.构建代谢相关脂肪性肝病人群调态打靶、限能和助推综合干预的减重管理模式[J].中医药导报,2025,31(11):101-105,115.

DOI：10.13862/j.cn43-1446/r.2025.11.018

PDF： Download PDF

Abstract：

Obesity is an important risk factor for metabolic dysfunction-associated fatty liver disease (MAFLD). Based on the MAFLD "classification-staging-syndrome differentiation" framework, this study proposes a Traditional Chinese Medicine intervention strategy termed "state-target adjustment", combined with energy restriction (TCM-assisted fasting therapy) and dietary management nudging techniques (decision information, decision support, and decision structure influence), to construct a comprehensive weight loss intervention program. This model demonstrates significant effects in improving the metabolic status of MAFLD patients and can provide theoretical reference and methodological support for TCM-based health management practices.

Key words：metabolic dysfunction-associated fatty liver disease; state-target adjustment; energy restriction; nudging; weight management

摘要：

肥胖是代谢相关脂肪性肝病（MAFLD）的重要危险因素。本研究基于MAFLD“分类-分期-分证”框架，提出“调态打靶”中医干预策略，结合限能（中医辅助禁食疗法）与饮食管理助推技术（决策信息、决策辅助及决策结构影响），构建综合减重干预方案。该模式对改善MAFLD患者代谢状况效果明显，可为中医健康管理实践提供理论参考与方法支持。

关键词：代谢相关脂肪性肝病；调态打靶；限能干预；助推；减重管理

Release time：2025-11-30

click-through rate：89