Guo Xiaolong, Liu Peiyi, Guo Jing, Zhang Naiwen, Huang Haiyan, Liu Jianjun, Tan Zhen, Dan Guo
School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, China.
Shenzhen Key Laboratory of Modern Toxicology, Shenzhen Medical Key Discipline of Health Toxicology, Shenzhen Center for Disease Control and Prevention, Shenzhen, China.
Front Public Health. 2025 Jun 6;13:1557721. doi: 10.3389/fpubh.2025.1557721. eCollection 2025.
Population aging challenges health care systems due to the high prevalence and impact of multimorbidity in older adults. Studies on multimorbidity in Shenzhen have primarily focused on the quantity of multimorbidity, lacking in-depth exploration of multimorbidity patterns.
Based on baseline data from the Shenzhen aging-related disease cohort, this study analyzed information from 8,911 people aged 60 and above after excluding missing and abnormal values from interview results. Using self-organizing map combined with weighted k-means, the distribution of diseases in the population was visualized, dividing the overall population into four clusters. The study also analyzed comorbidity and association rules for each cluster.
This study found a high prevalence of cardiometabolic comorbidities among the older adult in Shenzhen, reaching 15.83%, and detailed the distribution of specific comorbidity combinations. Hypertension had a high prevalence and was the most common factor in comorbidities among Shenzhen's older adult. Additionally, hyperuricemia was included as a disease to explore its multimorbidity patterns with other chronic conditions.
The study found that multimorbidity is prevalent among the older adult in Shenzhen and explored their patterns, suggesting that Shenzhen should enhance screening and integrated management of high-risk groups and implement public health interventions to alleviate the multimorbidity burden.
由于老年人中多重疾病的高患病率及其影响，人口老龄化给医疗保健系统带来了挑战。深圳关于多重疾病的研究主要集中在多重疾病的数量上，缺乏对多重疾病模式的深入探索。
基于深圳老龄相关疾病队列的基线数据，本研究在排除访谈结果中的缺失值和异常值后，分析了8911名60岁及以上人群的信息。使用自组织映射结合加权k均值法，直观呈现了人群中疾病的分布情况，将总体人群分为四个聚类。该研究还分析了每个聚类的共病情况和关联规则。
本研究发现深圳老年人中心血管代谢共病的患病率很高，达到15.83%，并详细说明了特定共病组合的分布情况。高血压患病率高，是深圳老年人共病中最常见的因素。此外，高尿酸血症被纳入作为一种疾病，以探索其与其他慢性病的共病模式。
该研究发现多重疾病在深圳老年人中普遍存在，并探索了其模式，表明深圳应加强对高危人群的筛查和综合管理，并实施公共卫生干预措施以减轻多重疾病负担。
