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[Research on the pattern and influencing factors of cardiometabolic multimorbidity in China]
Y F Wang1, Z W Wang2, C Y Zheng2
1Institute of Medical Information/Medical Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100020, China.
Insights
Cardiometabolic multimorbidity (CMM) affects over 11% of Chinese adults, frequently involving hypertension, hyperlipidemia, and diabetes. Older age, smoking, and family history increase CMM risk, highlighting the need for early intervention.
Area of Science:
- Epidemiology
- Public Health
- Cardiology
Context:
- Cardiometabolic multimorbidity (CMM) presents a significant public health challenge in China.
- Understanding CMM prevalence and patterns is crucial for targeted interventions.
Purpose:
- To investigate the prevalence, comorbidity patterns, and associated factors of cardiometabolic multimorbidity (CMM) in a large Chinese population.
- To identify strong CMM patterns using association rule analysis and explore risk factors via logistic regression.
Summary:
- The study found an 11.25% prevalence of CMM among 34,994 Chinese adults aged 35+.
- Common CMM patterns included hypertension with hyperlipidemia, diabetes, and stroke.
- Older age, retirement, smoking, and family history were significant risk factors for CMM.
Impact:
- Findings highlight the high burden of CMM in China and identify key risk factors.
- Results emphasize the need for proactive management of single cardiometabolic conditions to prevent multimorbidity.
- This research provides valuable data for developing public health strategies and clinical guidelines 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.
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