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中国中老年人慢性病共病的演变:基于中国健康与养老追踪调查(2015 - 2020)的证据

The evolution of comorbidities in chronic diseases among Chinese middle-aged and elderly people: Evidence from the CHARLS (2015-2020).

作者信息

Zhang Zihui, Hu Chuhui, Cai Yufeng, Liu Fei, Duan Yongheng, Wu Xusheng, Hu Dehua

机构信息

Department of Biomedical Informatics, School of Life Sciences, Central South University, Changsha, Hunan, China.

Shenzhen Health Development Research and Data Management Center, Shenzhen Guangdong, China.

出版信息

PLoS One. 2025 Aug 4;20(8):e0329372. doi: 10.1371/journal.pone.0329372. eCollection 2025.

Abstract

BACKGROUND

The comorbidity of chronic diseases among middle-aged and elderly people is a global public health concern that has attracted great attention in recent years. It is crucial to explore the evolutionary pattern of chronic disease comorbidity in Chinese middle-aged and elderly people and to reveal the developmental trajectory of chronic diseases in this population.

METHODS

Data from the China Health and Retirement Longitudinal Study (CHARLS 2015-2020) were utilized for the fixed cohort analysis. Based on the prevalence information of 14 chronic diseases (including hypertension, dyslipidemia, diabetes, cancer, chronic lung diseases, liver disease, heart disease, stroke, kidney disease, stomach diseases, emotional problems, memory-related diseases, arthritis, and asthma) among 10,089 participants aged ≥45 years, association rules and cluster analysis were used to identify trends and trajectories of comorbidities in the middle-aged and elderly populations in China.

RESULTS

The analysis revealed that the comorbidity rate of the 14 chronic diseases showed a consistent annual increase from 2015-2020. By 2020, over 85% of patients diagnosed with a single chronic condition exhibited concurrent multimorbidity. This epidemiological progression was paralleled by a progressive increase in detected disease associations: binary comorbidities rose from three significant associations in 2015-10 in 2020, whereas higher-order combinations expanded from one ternary association in 2015-35 ternary and 18 quaternary associations by 2020. Notably, hypertension maintained a central position across all identified comorbidity clusters. The comorbidity patterns identified in 2015 included respiratory, liver and kidney, and cardio-cerebral comorbidity patterns and cancer and emotional problems. The comorbidity patterns identified in 2018 included respiratory, liver and kidney, cerebrovascular, and cardiovascular metabolic comorbidity patterns. The comorbidity pattern in 2020 was the same as that in 2018.

CONCLUSION

The issues of comorbidities in chronic diseases among Chinese middle-aged and elderly people is significant, with observed variations in the comorbidity patterns across different time periods. The development of clinical assessment and management guidelines for chronic diseases comorbid with key conditions, such as hypertension and dyslipidemia, is recommended. These guidelines aim to facilitate the co-management, co-treatment, and co-reduction of multiple diseases among middle-aged and elderly people.

摘要

背景

中老年人群慢性病共病是一个全球公共卫生问题,近年来备受关注。探索中国中老年人群慢性病共病的演变模式并揭示该人群慢性病的发展轨迹至关重要。

方法

利用中国健康与养老追踪调查(CHARLS 2015 - 2020)的数据进行固定队列分析。基于10089名年龄≥45岁参与者中14种慢性病(包括高血压、血脂异常、糖尿病、癌症、慢性肺病、肝病、心脏病、中风、肾病、胃病、情绪问题、记忆相关疾病、关节炎和哮喘)的患病率信息,采用关联规则和聚类分析来确定中国中老年人群共病的趋势和轨迹。

结果

分析显示,2015 - 2020年这14种慢性病的共病率呈逐年持续上升。到2020年,超过85%被诊断患有单一慢性病的患者同时患有多种疾病。这种流行病学进展伴随着检测到的疾病关联的逐步增加:二元共病从2015年的3种显著关联增加到2020年的10种,而高阶组合从2015年的1种三元关联扩展到2020年的35种三元关联和18种四元关联。值得注意的是,高血压在所有确定的共病集群中都处于核心地位。2015年确定的共病模式包括呼吸、肝肾和心脑共病模式以及癌症和情绪问题。2018年确定的共病模式包括呼吸、肝肾、脑血管和心血管代谢共病模式。2020年的共病模式与2018年相同。

结论

中国中老年人群慢性病共病问题严重,不同时间段的共病模式存在差异。建议制定针对与高血压和血脂异常等关键病症共病的慢性病的临床评估和管理指南。这些指南旨在促进中老年人群多种疾病的共同管理、共同治疗和共同缓解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9439/12321096/ea686ad20ebb/pone.0329372.g001.jpg

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