中国全科医学 ›› 2025, Vol. 28 ›› Issue (02): 149-158.DOI: 10.12114/j.issn.1007-9572.2023.0928

• 慢性病共病专题研究 • 上一篇    下一篇

老年人群慢性病共病模式与失能状况的关联研究:基于四川省抽样调查

李小凤1, 裴星童1, 杨春晖1, 赵洋2,3,*(), 徐明明1,*()   

  1. 1.518107 广东省深圳市,中山大学公共卫生学院(深圳)
    2.2050澳大利亚悉尼,新南威尔士大学乔治全球健康研究院
    3.3010澳大利亚墨尔本,墨尔本大学人口与全球健康学院
  • 收稿日期:2023-11-16 修回日期:2024-06-09 出版日期:2025-01-15 发布日期:2024-10-28
  • 通讯作者: 赵洋, 徐明明

  • 作者贡献:

    李小凤、徐明明负责文章的构思与设计;李小凤、裴星童、杨春晖负责数据收集和整理,统计学处理;李小凤、赵洋、徐明明负责结果解释和论文撰写;赵洋、徐明明负责论文的修订,文章的质量控制及审校,并对文章整体负责,监督管理。

  • 基金资助:
    广东省基础与应用基础研究基金(2022A1515110721); 广东省医学科学技术研究基金(A2024051); 中山大学"百人计划"启动项目(58000-12230020)

Association between Comorbidity Patterns and Disability for the Older Adults: Based on a Sampling Survey in Sichuan Province

LI Xiaofeng1, PEI Xingtong1, YANG Chunhui1, ZHAO Yang2,3,*(), XU Mingming1,*()   

  1. 1. School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen 518107, China
    2. The George Institute for Global Health, University of New South Wales, Sydney 2050, Australia
    3. School of Population and Global Health, University of Melbourne, Melbourne 3010, Australia
  • Received:2023-11-16 Revised:2024-06-09 Published:2025-01-15 Online:2024-10-28
  • Contact: ZHAO Yang, XU Mingming

摘要: 背景 随着人口老龄化的进展,慢性病共病和失能老年人的数量与日俱增,给社会带来沉重的医疗负担。共病和失能联系紧密,但目前关于共病模式和失能状况的相关性研究较少。 目的 本研究旨在以四川省为例识别我国老年人群中常见的慢性病共病模式,并从个体层面探讨不同共病模式与失能状况之间的相关性。 方法 于2022年8—11月采用定额随机抽样方法在四川省抽取501例60岁及以上的老年人群样本,收集其慢性病患病状况、失能状况及一般人口学等信息。通过自组织映射神经网络和K-Means相结合的二次聚类方法,识别老年人群的常见共病模式。基于2021年国家医疗保障局首个《长期护理失能等级评估标准(试行)》判定样本的失能等级,应用逻辑回归模型探究慢性病共病模式与失能等级之间的关系。 结果 501例样本中,共病患病率为62.3%(312/501),失能率为74.3%(372/501);最终确定6种共病模式:关节炎或风湿病-高血压模式;血脂异常-高血压模式;肾脏疾病-关节炎或风湿病模式;癌症-关节炎或风湿病模式;哮喘-高血压-消化系统疾病模式;情感精神-记忆相关疾病模式。二分类逻辑回归分析结果显示,共病人群的失能风险是无共病人群的6.3倍(OR=6.3,95%CI=3.9~10.3,P<0.05)。多因素多分类逻辑回归分析结果显示,6种共病模式的失能风险均增加(P<0.05);其中情感精神-记忆相关疾病模式的共病人群失能风险最大,是无共病人群的10.7倍(OR=10.7,95%CI=1.7~63.6),其次是癌症-关节炎或风湿病模式(OR=7.8,95%CI=2.4~24.8)。 结论 四川省老年人共病患病率较高,多种共病模式均与失能的发生显著相关,尤其是情感精神-记忆相关疾病模式和癌症-关节炎或风湿病模式。医疗卫生保健系统应重点关注患有共病的老年群体,基于不同共病模式制定精准有效的长期护理政策和策略,预防延缓失能的发生、发展,提高老年人健康福祉,节约社会医疗卫生资源。

关键词: 慢性病共病, 共病模式, 失能状况, 老年人, 自组织映射神经网络, 二次聚类, 四川省

Abstract:

Background

With the population aging, the number of patients with chronic diseases and disability is increasing, which brings a heavy burden on the medical system. While it is well established that comorbidity and disability are closely interconnected, there is a noticeable scarcity of studies addressing the relationship between different patterns of comorbidity and disability.

Objective

To explore the common comorbidity patterns and their associations with disability among the older adults in China taking Sichuan as an example.

Methods

A total of 501 older adults, aged 60 and above, were selected using quota sampling in Sichuan from August to Novermber 2022. Detailed data on chronic diseases, disability, and general demographics were collected. Comorbidity patterns among the older adults were identified using a two-step clustering method that combined self-organizing maps and K-Means. The association between patterns of comorbidity and disability was explored using a logistic regression model, employing the National Disability Assessment Scale for the Long-term Care issued by the National Healthcare Security Administration of China in 2021.

Results

In this survey, The prevalence of comorbidity 62.3% (312/501) and the prevalence of disability was 74.3% (372/501). We identified six comorbidity patterns: Arthritis/Rheumatism and Hypertension diseases, Cardiovascular and Metabolic diseases, Kidney and Arthritis/Rheumatism diseases, Cancer and Arthritis/Rheumatism diseases, Asthma, Hypertension, and Gastrointestinal diseases, Emotional/Mental and Memory-related diseases. The results of binomial logistic regression showed that the risk of disability was 6.3 times higher when people suffering from two or more chronic diseases at the same time (OR=6.3, 95%CI=3.9-10.3, P<0.05). The results of multinomial logistic regression showed that the risk of disability was increased in all six comorbidity patterns (P<0.05). Compared to the population without comorbidities, the comorbid group with the emotional/mental and memory-related diseases pattern has a 10.7 times risk with more severe disability (OR=10.7, 95%CI=1.7-63.6), which had the greatest impact on disability. Next is the Cancer and Arthritis/Rheumatism pattern (OR=7.8, 95%CI=2.4-24.8) .

Conclusion

The incidence of comorbidity among the older adults in Sichuan is high, and there is a significant association between several comorbidity patterns and disability, especially for the Emotional/Mental and Memory-related diseases pattern and Cancer and Arthritis/Rheumatism pattern. The health care system should focus on the older adults with comorbidity, formulate accurate and effective long-term care policies and strategies based on different comorbidity patterns to prevent and reduce the occurrence of disability, improve the well-being of the older adults, and save social medical resources.

Key words: Multiple chronic conditions, Comorbidity patterns, Disability, Aged, Self-organizing map, Two-step clustering method, Sichuan Province

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