[中国心脏代谢多发病模式及影响因素研究]。

Q3 Medicine
Y F Wang, Z W Wang, C Y Zheng, X Wang, Y X Tian, X Cao, R H Feng
{"title":"[中国心脏代谢多发病模式及影响因素研究]。","authors":"Y F Wang, Z W Wang, C Y Zheng, X Wang, Y X Tian, X Cao, R H Feng","doi":"10.3760/cma.j.cn112148-20240509-00247","DOIUrl":null,"url":null,"abstract":"<p><p><b>Objective:</b> To investigate the prevalence, comorbidity patterns, and associated factors of cardiometabolic multimorbidity (CMM) in China. <b>Methods:</b> From 2012 to 2015, a total of 34 994 residents aged ≥35 years were enrolled using a stratified multistage random sampling method across 31 provinces, autonomous regions, and municipalities in China. Data were collected through questionnaires, covering demographic characteristics, behavioral and lifestyle factors, and self-reported history of cardiometabolic diseases. CMM was defined as the coexistence of two or more cardiometabolic diseases in the same individual. Association rule analysis using the Apriori algorithm from the arules package was employed to identify strong CMM patterns. Multivariable logistic regression was employed to explore factors associated with CMM. <b>Results:</b> The mean age of the participants was 55.6 years. Among them, 15 926 were male (45.51%). The prevalence of cardiometabolic multimorbidity (CMM) was 11.25% (3 937/34 994). A total of 35 distinct CMM combinations (each with a frequency ≥10) were identified. The most prevalent dyad, triad, and tetrad comorbidity patterns were hypertension+hyperlipidemia (1 036 cases), hypertension+hyperlipidemia+diabetes (352 cases), and hypertension+stroke+hyperlipidemia+diabetes (54 cases), respectively. Nine strong CMM patterns were identified using the Apriori association rule algorithm. Multivariable logistic regression analysis showed that older age (≥70 years: <i>OR</i>=17.39,95%<i>CI</i> 13.92-21.71,<i>P</i><0.01), junior high school education (<i>OR</i>=1.31, 95%<i>CI</i> 1.17-1.48, <i>P</i><0.01), senior high school or above education (<i>OR</i>=1.45, 95%<i>CI</i> 1.27-1.65, <i>P</i><0.01), retirement (<i>OR</i>=3.09, 95%<i>CI</i> 2.76-3.46, <i>P</i><0.01), unemployment or being laid-off (<i>OR</i>=1.16, 95%<i>CI</i> 1.06-1.28, <i>P</i><0.01), a family history of cardiometabolic disease (<i>OR</i>=4.37, 95%<i>CI</i> 4.04-4.72, <i>P</i><0.01), regular smoking (<i>OR</i>=1.38, 95%<i>CI</i> 1.24-1.53, <i>P</i><0.05), and occasional smoking (<i>OR</i>=1.21, 95%<i>CI</i> 1.00-1.49, <i>P</i><0.01) were significantly associated with an increased risk of CMM. <b>Conclusion:</b> The prevalence of cardiometabolic multimorbidity in China is relatively high, with the most common comorbidity patterns involving combinations of hypertension and hyperlipidemia, often accompanied by diabetes and stroke. Older age, retirement status, smoking, and a family history of cardiovascular disease are associated with an increased risk of both single and multiple cardiometabolic conditions. Greater attention should be paid to individuals with a single cardiometabolic disorder due to their elevated risk of developing multimorbidity.</p>","PeriodicalId":38755,"journal":{"name":"中华心血管病杂志","volume":"53 7","pages":"792-798"},"PeriodicalIF":0.0000,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Research on the pattern and influencing factors of cardiometabolic multimorbidity in China].\",\"authors\":\"Y F Wang, Z W Wang, C Y Zheng, X Wang, Y X Tian, X Cao, R H Feng\",\"doi\":\"10.3760/cma.j.cn112148-20240509-00247\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Objective:</b> To investigate the prevalence, comorbidity patterns, and associated factors of cardiometabolic multimorbidity (CMM) in China. <b>Methods:</b> From 2012 to 2015, a total of 34 994 residents aged ≥35 years were enrolled using a stratified multistage random sampling method across 31 provinces, autonomous regions, and municipalities in China. Data were collected through questionnaires, covering demographic characteristics, behavioral and lifestyle factors, and self-reported history of cardiometabolic diseases. CMM was defined as the coexistence of two or more cardiometabolic diseases in the same individual. Association rule analysis using the Apriori algorithm from the arules package was employed to identify strong CMM patterns. Multivariable logistic regression was employed to explore factors associated with CMM. <b>Results:</b> The mean age of the participants was 55.6 years. Among them, 15 926 were male (45.51%). The prevalence of cardiometabolic multimorbidity (CMM) was 11.25% (3 937/34 994). A total of 35 distinct CMM combinations (each with a frequency ≥10) were identified. The most prevalent dyad, triad, and tetrad comorbidity patterns were hypertension+hyperlipidemia (1 036 cases), hypertension+hyperlipidemia+diabetes (352 cases), and hypertension+stroke+hyperlipidemia+diabetes (54 cases), respectively. Nine strong CMM patterns were identified using the Apriori association rule algorithm. Multivariable logistic regression analysis showed that older age (≥70 years: <i>OR</i>=17.39,95%<i>CI</i> 13.92-21.71,<i>P</i><0.01), junior high school education (<i>OR</i>=1.31, 95%<i>CI</i> 1.17-1.48, <i>P</i><0.01), senior high school or above education (<i>OR</i>=1.45, 95%<i>CI</i> 1.27-1.65, <i>P</i><0.01), retirement (<i>OR</i>=3.09, 95%<i>CI</i> 2.76-3.46, <i>P</i><0.01), unemployment or being laid-off (<i>OR</i>=1.16, 95%<i>CI</i> 1.06-1.28, <i>P</i><0.01), a family history of cardiometabolic disease (<i>OR</i>=4.37, 95%<i>CI</i> 4.04-4.72, <i>P</i><0.01), regular smoking (<i>OR</i>=1.38, 95%<i>CI</i> 1.24-1.53, <i>P</i><0.05), and occasional smoking (<i>OR</i>=1.21, 95%<i>CI</i> 1.00-1.49, <i>P</i><0.01) were significantly associated with an increased risk of CMM. <b>Conclusion:</b> The prevalence of cardiometabolic multimorbidity in China is relatively high, with the most common comorbidity patterns involving combinations of hypertension and hyperlipidemia, often accompanied by diabetes and stroke. Older age, retirement status, smoking, and a family history of cardiovascular disease are associated with an increased risk of both single and multiple cardiometabolic conditions. Greater attention should be paid to individuals with a single cardiometabolic disorder due to their elevated risk of developing multimorbidity.</p>\",\"PeriodicalId\":38755,\"journal\":{\"name\":\"中华心血管病杂志\",\"volume\":\"53 7\",\"pages\":\"792-798\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"中华心血管病杂志\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3760/cma.j.cn112148-20240509-00247\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"中华心血管病杂志","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3760/cma.j.cn112148-20240509-00247","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

摘要

目的:了解中国心脏代谢性多病(CMM)的患病率、合并症类型及相关因素。方法:2012 - 2015年,采用分层多阶段随机抽样方法,在中国31个省、自治区、直辖市共纳入34 994名年龄≥35岁的居民。通过问卷调查收集数据,包括人口统计学特征、行为和生活方式因素以及自我报告的心脏代谢疾病史。CMM被定义为同一个体同时存在两种或两种以上的心脏代谢疾病。利用规则包中的Apriori算法进行关联规则分析,识别强CMM模式。采用多变量logistic回归分析CMM的相关因素。结果:参与者的平均年龄为55.6岁。其中男性15 926人,占45.51%。心血管代谢多病(CMM)患病率为11.25%(3 937/34 994)。共鉴定出35种不同的CMM组合(每种频率≥10)。二、三、四合并症分别为高血压+高脂血症(1 036例)、高血压+高脂血症+糖尿病(352例)、高血压+脑卒中+高脂血症+糖尿病(54例)。利用Apriori关联规则算法识别出9种强CMM模式。多变量logistic回归分析显示,老年人(≥70岁):OR=17.39,95%CI 13.92-21.71,POR=1.31, 95%CI 1.17-1.48, POR=1.45, 95%CI 1.27-1.65, POR=3.09, 95%CI 2.76-3.46, POR=1.16, 95%CI 1.06-1.28, POR=4.37, 95%CI 4.04-4.72, POR=1.38, 95%CI 1.24-1.53, POR=1.21, 95%CI 1.00-1.49, p。在中国,心脏代谢多重疾病的患病率相对较高,最常见的合并症包括高血压和高脂血症的合并,通常伴有糖尿病和中风。年龄较大、退休状态、吸烟和心血管疾病家族史与单一和多种心脏代谢疾病的风险增加有关。应更多地关注个体与单一的心脏代谢紊乱,因为他们的高风险发展为多病。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Research on the pattern and influencing factors of cardiometabolic multimorbidity in China].

Objective: To investigate the prevalence, comorbidity patterns, and associated factors of cardiometabolic multimorbidity (CMM) in China. Methods: From 2012 to 2015, a total of 34 994 residents aged ≥35 years were enrolled using a stratified multistage random sampling method across 31 provinces, autonomous regions, and municipalities in China. Data were collected through questionnaires, covering demographic characteristics, behavioral and lifestyle factors, and self-reported history of cardiometabolic diseases. CMM was defined as the coexistence of two or more cardiometabolic diseases in the same individual. Association rule analysis using the Apriori algorithm from the arules package was employed to identify strong CMM patterns. Multivariable logistic regression was employed to explore factors associated with CMM. Results: The mean age of the participants was 55.6 years. Among them, 15 926 were male (45.51%). The prevalence of cardiometabolic multimorbidity (CMM) was 11.25% (3 937/34 994). A total of 35 distinct CMM combinations (each with a frequency ≥10) were identified. The most prevalent dyad, triad, and tetrad comorbidity patterns were hypertension+hyperlipidemia (1 036 cases), hypertension+hyperlipidemia+diabetes (352 cases), and hypertension+stroke+hyperlipidemia+diabetes (54 cases), respectively. Nine strong CMM patterns were identified using the Apriori association rule algorithm. Multivariable logistic regression analysis showed that older age (≥70 years: OR=17.39,95%CI 13.92-21.71,P<0.01), junior high school education (OR=1.31, 95%CI 1.17-1.48, P<0.01), senior high school or above education (OR=1.45, 95%CI 1.27-1.65, P<0.01), retirement (OR=3.09, 95%CI 2.76-3.46, P<0.01), unemployment or being laid-off (OR=1.16, 95%CI 1.06-1.28, P<0.01), a family history of cardiometabolic disease (OR=4.37, 95%CI 4.04-4.72, P<0.01), regular smoking (OR=1.38, 95%CI 1.24-1.53, P<0.05), and occasional smoking (OR=1.21, 95%CI 1.00-1.49, P<0.01) were significantly associated with an increased risk of CMM. Conclusion: The prevalence of cardiometabolic multimorbidity in China is relatively high, with the most common comorbidity patterns involving combinations of hypertension and hyperlipidemia, often accompanied by diabetes and stroke. Older age, retirement status, smoking, and a family history of cardiovascular disease are associated with an increased risk of both single and multiple cardiometabolic conditions. Greater attention should be paid to individuals with a single cardiometabolic disorder due to their elevated risk of developing multimorbidity.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
中华心血管病杂志
中华心血管病杂志 Medicine-Cardiology and Cardiovascular Medicine
CiteScore
1.40
自引率
0.00%
发文量
10577
期刊介绍: The Chinese Journal of Cardiology , established in February 1973, is one of the major academic medical journals sponsored by the Chinese Medical Association and a leading periodical in the field of cardiology in China. It specializes in cardiology and related disciplines with a readership of more than 25 000. The journal publishes editorials and guidelines as well as important original articles on clinical and experimental investigations, reflecting achievements made in China and promoting academic communication between domestic and foreign cardiologists. The journal includes the following columns: Editorials, Strategies, Comments, Clinical Investigations, Experimental Investigations, Epidemiology and Prevention, Lectures, Comprehensive Reviews, Continuing Medical Education, etc.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信