[Research on the pattern and influencing factors of cardiometabolic multimorbidity in China]
- PMID: 40707384
- DOI: 10.3760/cma.j.cn112148-20240509-00247
[Research on the pattern and influencing factors of cardiometabolic multimorbidity in China]
Abstract
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.
目的: 了解我国心血管代谢性共病的患病情况、共病模式和相关因素。 方法: 2012至2015年在31个省、自治区、直辖市采用分层多阶段随机抽样方法纳入34 994名年龄≥35岁的调查对象,通过调查问卷收集所需的资料,内容包括基本人口学特征、行为生活方式和心血管代谢性疾病史。将同一个体患有2种及以上心血管代谢性疾病称作心血管代谢性共病。采用arules程序包的Apriori算法进行关联规则分析,挖掘强关联性的心血管代谢性共病模式。使用多因素logistic回归分析探索心血管代谢性共病的相关因素。 结果: 调查对象的平均年龄为55.6岁,其中男性15 926名(45.51%)。心血管代谢性共病的患病率为11.25%(3 937/34 994)。共有35种心血管代谢性共病组合(频数≥10),其中出现频次最高的2、3和4元共病模式分别是高血压+高脂血症(1 036例)、高血压+高脂血症+糖尿病(352例)和高血压+卒中+高脂血症+糖尿病(54例)。关联规则分析共筛选出9条较强关联的心血管代谢性共病模式。多因素logistic回归分析结果显示,老年(≥70岁:OR=17.39,95%CI 13.92~21.71,P<0.01)、初中学历(OR=1.31,95%CI 1.17~1.48,P<0.01)、高中及以上学历(OR=1.45,95%CI 1.27~1.65,P<0.01)、离退休(OR=3.09,95%CI 2.76~3.46,P<0.01)、无业或失业(OR=1.16,95%CI 1.06~1.28,P<0.01)、有家族史(OR=4.37,95%CI 4.04~4.72,P<0.01)、经常吸烟(OR=1.38,95%CI 1.24~1.53,P<0.05)、偶尔吸烟(OR=1.21,95%CI 1.00~1.49,P<0.01)与心血管代谢性共病的患病风险增高有关。 结论: 我国心血管代谢性共病患病率较高,最常见的共病模式以高血压和高脂血症组合为主,伴有糖尿病、卒中等疾病。年龄较大、离退休、吸烟和有心血管疾病家族史与发生心血管代谢性共病风险升高有关。同时,需要警惕患有单一心血管代谢性疾病人群的共病风险。.
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