Abstract
PURPOSE: This systematic evidence synthesis evaluates lifestyle interventions for type 2 diabetes with obesity, providing clinical guidance based on rigorously appraised Chinese and international evidence to support healthcare decision-making. METHODS: Two researchers independently conducted systematic searches across multiple databases including CNKI, Wanfang, PubMed and Cochrane Library. Using standardized protocols, they extracted and synthesized evidence from qualifying publications, with all included studies undergoing dual quality assessment through AGREE II and AMSTAR-2. Discrepancies were resolved through consensus discussion involving a third senior researcher. RESULTS: The analysis incorporated thirteen high-quality evidence sources: six clinical guidelines comprising two Chinese and four international publications, three systematic reviews, three expert consensuses and one clinical decision framework. These yielded thirty-eight distinct evidence statements addressing five essential domains: the necessity of lifestyle intervention, assessment and monitoring approaches, multidisciplinary care coordination, multidimensional lifestyle components including nutrition, physical activity, stress management, sleep optimization and social support, along with long-term follow-up systems. Twenty-nine recommendations represented the highest grade of evidence, with demonstrated outcomes including clinically significant weight loss (5-15% of body weight) associated with improved metabolic control, diabetes remission in patients achieving ≥15kg weight reduction, and reduced reliance on glucose-lowering medications. CONCLUSION: This evidence synthesis provides healthcare systems with thirty-eight clinically validated recommendations for implementing lifestyle interventions. The findings support real-world application by standardizing protocols, training clinicians, and adapting patient education while maintaining fidelity to evidence-based core components and allowing necessary local adaptations to meet diverse patient needs across different healthcare settings.