中国糖尿病流行趋势深度解析：2050年患病率或突破30%大关

Core Insights - The article highlights a concerning trend in diabetes prevalence in China, indicating a significant increase in the number of patients and the urgent need for effective prevention and control strategies [9][15]. Group 1: Diabetes Prevalence and Trends - As of 2023, the total number of diabetes patients in China has reached 233 million, with a prevalence rate of 15.88%, marking a 163% increase from 88.48 million patients in 2005 [9][15]. - The age-standardized prevalence rate (ASR) of diabetes has risen from 7.53% in 2005 to 13.67% in 2023, with an annual growth rate of 3.36% [9][10]. - The years of life lost due to disability (YLDs) related to diabetes reached 32.49 million in 2023, reflecting a significant decline in overall health quality among the population [9][10]. Group 2: Regional Distribution and Characteristics - The eastern region of China has the highest number of diabetes patients at 78.47 million, followed by central and northern regions with 53.98 million and 36.06 million patients, respectively [11][12]. - The northern region has the highest ASR at 17.20%, with major cities like Beijing and Tianjin exceeding a 20% prevalence rate due to dietary habits [11][12]. - The southwestern region is experiencing the fastest growth in diabetes prevalence, increasing from 5.65% in 2005 to 11.77% in 2023, driven by changes in dietary patterns [12][13]. Group 3: Future Projections and Strategies - Projections indicate that if current trends continue, the ASR of diabetes could reach 16.15% by 2030, 21.52% by 2040, and potentially 29.10% by 2050, posing unprecedented challenges to the healthcare system [13][15]. - Implementing systematic obesity intervention strategies could significantly improve these projections, potentially keeping the ASR below 15% by 2050, a reduction of 49.10% from the natural trajectory [13][14]. - The article emphasizes the need for differentiated regional strategies in diabetes prevention, focusing on early screening and lifestyle interventions tailored to local conditions [14][16].