中国全科医学

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非医疗处方对中老年糖尿病共病进展的影响研究

汤皓晴1, 2,李明月1, 2,郑汇娴1, 2,周俣勋2,刘晓云2*   

  1. 1.100191 北京市,北京大学公共卫生学院卫生政策与管理学系 2.100191 北京市,北京大学中国卫生发展研究中心
  • 收稿日期:2025-07-18 修回日期:2025-10-27 接受日期:2025-11-12
  • 通讯作者: 刘晓云,教授;E-mail:xiaoyunliu@pku.edu.cn

Study on the Impact of Non-medical Prescriptions on the Progression of Diabetes Comorbidities among Middle-aged and Older Adults

TANG Haoqing1,2,LI Mingyue1,2,ZHENG Huixian1,2,ZHOU Yuxun2,LIU Xiaoyun2*   

  1. 1. Department of Health Policy and Management, School of Public Health, Peking University, Beijing 100191, China 2. China Center for Health Development Studies, Peking University, Beijing 100191, China
  • Received:2025-07-18 Revised:2025-10-27 Accepted:2025-11-12
  • Contact: LIU Xiaoyun, Professor; E-mail: xiaoyunliu@pku.edu.cn

摘要: 背景 在人口老龄化和糖尿病患病率快速上升背景下,中老年糖尿病患者共病负担沉重,非医疗处方在延缓糖尿病共病进展中的长期作用及机制仍缺乏系统证据。目的 分析中老年糖尿病共病患者非医疗处方开具情况与血糖控制的变化情况,并评估非医疗处方在延缓糖尿病共病进展中的作用及其中介机制。方法 选择2011—2018年中国健康与养老追踪调查(CHARLS)数据中2011、2013、2015和2018年的4轮调查数据中共1 731例≥45岁中老年糖尿病共病患者为研究对象,构建动态队列,分析中老年糖尿病共病患者的共病负担和共病模式、非医疗处方开具情况和血糖控制情况的变化趋势。采用Logistic回归分析医生开具任一非医疗处方对患者下一期共病是否增加的影响。运用广义结构方程模型(GSEM)进行血糖控制的中介效应检验。结果 本研究1 731例患者的平均年龄为(60.4±9.0)岁,其中42.9%(742例)年龄在55~64岁。85.3%(1 476例)的患者受教育水平为初中及以下,农村居民占比46.6%(775例)。随访期间,中老年糖尿病患者共病患病率由基线的87.1%上升至随访结束时的96.7%,平均共病数(含糖尿病)也由3.3(2.0,4.0)个增至4.9(3.0,6.0)个。不同随访轮次中各类非医疗处方的开具比例均≥90.0%,并在随访期间逐步上升,由F0的92.7%增至F3的100.0%。在各类处方中,饮食处方(432例,66.0%)与锻炼处方(376例,57.4%)的开具率最高,足部护理处方的增长幅度明显(由12.3%增至26.7%)。血糖控制率从76.3%(489例)下降至66.0%(479例)。Logistic回归与GSEM结果显示,医生开具非医疗处方可显著降低下一期共病增加的风险[OR总共病=0.666,传统一致性共病(TCC)OR=0.507]。非医疗处方可以通过显著提升血糖控制水平,进而减少总体共病增加的概率(中介效应β=-0.850,95%CI=-1.583~-0.116)和减少TCC模式共病增加的概率(中介效应 β=-2.901,95%CI=-5.262~-0.549)。结论 中老年糖尿病患者的共病负担随病程延长不断加重,共病模式日趋复杂,血糖控制水平整体下降,尤其在多共病人群中表现更为明显。非医疗处方作为糖尿病综合管理的重要干预手段,可通过改善血糖控制,部分抵消共病累积带来的不利影响,从而延缓共病的发生发展。

关键词: 糖尿病, 慢性病共病, 非医疗处方, 血糖控制, 中介效应

Abstract: Background Against the backdrop of rapid population aging and the rising prevalence of diabetes, middle aged and older adults with diabetes face a substantial burden of comorbidities. However, systematic evidence on the long-term effects and mechanisms of non-medical prescriptions in delaying the progression of diabetes-related comorbidities remains limited. Objective To examine changes in the issuance of non-medical prescriptions and glycemic control among middle-aged and older adults with diabetes comorbidities, and to evaluate the role of non-medical prescriptions in delaying comorbidity progression and its mediating mechanism. Methods Data were drawn from four waves of the China Health and Retirement Longitudinal Study (CHARLS) conducted in 2011, 2013, 2015, and 2018. A total of 1, 731 adults aged ≥ 45 years with diabetes comorbidities were included to construct a dynamic cohort. Changes in comorbidity burden and patterns, issuance of non-medical prescriptions, and glycemic control were descriptively analyzed. Logistic regression models were used to assess the effect of physician-issued non medical prescriptions on the increase in comorbidities at the subsequent follow-up. Generalized Structural Equation Modeling (GSEM) was applied to examine the mediating effect of glycemic control. Results Among the 1 731 participants, the mean age was (60.4±9.0) years, with 42.9% aged 55-64 years. Most participants had an education level of junior high school or below (85.3%), and 46.6% were rural residents. During follow-up, the prevalence of comorbidities increased from 87.1% at baseline to 96.7% at the final wave, while the median number of comorbidities (including diabetes) rose from 3.3(2.0,4.0)to 4.9 (3.0,6.0). The issuance rate of non-medical prescriptions remained high ( ≥ 90.0%) across all waves and increased from 92.7% at F0 to 100.0% at F3. Dietary prescriptions (66.0%) and exercise prescriptions (57.4%) were the most frequently issued, while foot care prescriptions showed a marked increase (from 12.3% to 26.7%). Meanwhile, the glycemic control rate declined from 76.3% to 66.0%. Logistic regression and GSEM analyses indicated that physician-issued non-medical prescriptions were significantly associated with a lower risk of increased comorbidities at the subsequent follow-up (overall comorbidities: OR=0.666; traditional concordant comorbidities [TCC]: OR= 0.507). Mediation analyses further showed that non-medical prescriptions reduced the probability of overall comorbidity progression (β=-0.850, 95%CI=-1.583 to -0.116) and TCC progression (β=-2.901, 95%CI=-5.262 to-0.549) partly through improvements in glycemic control. Conclusion The comorbidity burden among middle-aged and older adults with diabetes increases with disease duration, comorbidity patterns become more complex, and glycemic control generally deteriorates, particularly among individuals with multiple comorbidities. As an essential component of comprehensive diabetes management, non-medical prescriptions may partially offset the adverse effects of comorbidity accumulation by improving glycemic control, thereby delaying the development and progression of diabetes-related comorbidities.

Key words: Diabetes mellitus, Multiple chronic conditions, Non-medical prescribing, Glycemic control, Mediation effect

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