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Multimorbidity patterns and influencing factors of chronic diseases in the elderly based on hierarchical clustering and the Apriori algorithm
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Dong-meng MEI, Dan-dan MIAO, Huan SHEN, Jin-bo WEN, Qian ZHAO, Jing LIU, Yu-ting XU, Zhong-ming SUN, En-chun PAN
Modern Preventive Medicine | 2025, 52(19) : 3478 - 3483
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Modern Preventive Medicine | 2025, 52(19): 3478-3483
Epidemiology and Statistical Methods
Multimorbidity patterns and influencing factors of chronic diseases in the elderly based on hierarchical clustering and the Apriori algorithm
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Dong-meng MEI, Dan-dan MIAO, Huan SHEN, Jin-bo WEN, Qian ZHAO, Jing LIU, Yu-ting XU, Zhong-ming SUN, En-chun PAN
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  • Huai’an Center for Disease Control and Prevention, Huai’an, Jiangsu 223001, China
Published: 2025-10-10 doi: 10.20043/j.cnki.MPM.202503186
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Objective To explore the patterns and influencing factors of multimorbidity in the elderly. Methods A total of 7 354 adults aged ≥60 years in Huai’an District, Hongze District and Lianshui County of Huai’an City were investigated for chronic diseases and their risk factors. Hierarchical clustering was used to determine the multimorbidity patterns. Apriori algorithm was used to explore the association rules between chronic diseases. Binary logistic regression analysis was used to explore the influencing factors of major multimorbidity patterns. Results The prevalence of chronic diseases was 81.93%, and the prevalence of multimorbidity was 42.62%.Hierarchical clustering grouped eight chronic diseases into three categories. The two main multimorbidity patterns were: ① hypertension, diabetes, dyslipidemia, stroke, and myocardial infarction; ② asthma and COPD. The Apriori algorithm identified hypertension, diabetes,dyslipidemia, and stroke as the multimorbidity pattern of cardiovascular and cerebrovascular diseases, and COPD and asthma as the multimorbidity pattern of chronic respiratory diseases. In the multimorbidity pattern of cardiovascular and cerebrovascular diseases,compared with those without eight chronic diseases, increasing age, former smoking and current non-smoking, increasing BMI and central obesity increased the risk of cardiovascular and cerebrovascular disease comorbidity by 0.022 (OR=1.022, 95% CI: 1.012-1.033),0.466 (OR=1.466, 95% CI: 1.081-1.987), 0.144 (OR=1.144, 95% CI: 1.117-1.172), 0.505 (OR=1.505, 95% CI: 1.283-1.766). In the multimorbidity pattern of chronic respiratory diseases, compared with those without eight chronic diseases, former smokers and current non-smokers (OR=3.851, 95% CI: 2.132-6.956), central obesity (OR=1.696, 95% CI: 1.064-2.701) were the risk factors, while being female (OR=0.366, 95% CI: 0.229-0.587) and decreased BMI (OR=0.926, 95% CI: 0.869-0.994) were the protective factors. Conclusion Hypertension, stroke, dyslipidemia and diabetes are easy to coexist, and asthma and COPD are easy to coexist. Smoking was an important risk factor for multimorbidity. Central obesity was a risk factor for both multimorbidity patterns, especially for the cardiovascular and cerebrovascular multimorbidity pattern.

Multimorbidity pattern  /  Hierarchical cluster analysis  /  Apriori algorithm  /  Association rules
Dong-meng MEI, Dan-dan MIAO, Huan SHEN, Jin-bo WEN, Qian ZHAO, Jing LIU, Yu-ting XU, Zhong-ming SUN, En-chun PAN. Multimorbidity patterns and influencing factors of chronic diseases in the elderly based on hierarchical clustering and the Apriori algorithm[J]. Modern Preventive Medicine, 2025 , 52 (19) : 3478 -3483 . DOI: 10.20043/j.cnki.MPM.202503186
Year 2025 volume 52 Issue 19
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doi: 10.20043/j.cnki.MPM.202503186
  • Receive Date:2025-03-14
  • Online Date:2026-03-17
  • Published:2025-10-10
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  • Received:2025-03-14
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    Huai’an Center for Disease Control and Prevention, Huai’an, Jiangsu 223001, China
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表12种不同金属材料的力学参数

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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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