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Risk Factors for Cardiovascular Disease and Their Clustering among Adults in Jilin (China)
Jianxing Yu1, Yonghui Ma2, Sen Yang3
1Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin 130021, China. yjxjlu@163.com.
Insights
Cardiovascular disease risk factor clusters are prevalent in northeast China, particularly among males and the elderly. Targeted interventions are needed for these high-risk groups, focusing on those with lower socioeconomic status.
Area of Science:
- Public Health
- Epidemiology
- Cardiovascular Disease Research
Background:
- Cardiovascular disease (CVD) risk factor clustering presents a significant public health issue.
- Limited data exists on CVD risk factor prevalence and demographic associations in China's Jilin Province.
Purpose of the Study:
- To investigate the prevalence and clustering of cardiovascular disease risk factors in Jilin Province, China.
- To analyze the association between demographic factors and CVD risk factor clusters.
Main Methods:
- A cross-sectional survey of 16,834 adults (18-79 years) in Jilin Province.
- Complex weighted computations for prevalence and clustering analysis.
- Multivariable logistic regression to assess demographic associations.
Main Results:
- Prevalence rates: hypertension (37.3%), diabetes (8.2%), dyslipidemia (36.8%), overweight (47.3%), smoking (31.0%).
- Risk factors significantly associated with gender, education, age, occupation, and income (p < 0.05).
- Males and older adults exhibited higher odds of multiple risk factor clusters compared to females and younger individuals.
Conclusions:
- CVD risk factor clusters are common in northeast China, posing a public health challenge.
- Interventions should prioritize the elderly, low-income individuals, and those with lower education levels.
- Effective public health strategies are crucial for managing CVD risk factors in the region.
Background:
Clustering of cardiovascular disease (CVD) risk factors constitutes a major public health challenge. Although a number of researchers have investigated the CVD risk factor clusters in China, little is known about the related prevalence and clustering associated with demographics in Jilin Province in China; this study aims to reveal that relationship.
Methods:
A cross-sectional survey based on a sample of 16,834 adults aged 18 to 79 years was conducted in Jilin in 2012. The prevalence and clustering of CVD risk factors were analysed through complex weighted computation. Quantitative variables were compared by the t test, and categorical variables were compared by the Rao-Scott-χ² test. Finally, multivariable logistic regression analysis was used to evaluate the CVD risk factor clusters associated with demographics.
Results:
The prevalences of hypertension, diabetes, dyslipidemia, overweight and smoking were 37.3%, 8.2%, 36.8%, 47.3%, and 31.0%, respectively, and these risk factors were associated with gender, education level, age, occupation and family income (p < 0.05). Overall, compared with females, the adjusted ORs of ≥1, ≥2 and ≥3 risk factors clusters in males were 3.70 (95%CI 3.26 to 4.20), 4.66 (95%CI 4.09 to 5.31), and 5.76 (95%CI 5.01 to 6.63), respectively. In particular, the adjusted ORs of ≥1, ≥2 and ≥3 risk factors increased with age.
Conclusions:
CVD risk factor clusters are common among adults in northeast China, and they constitute a major public health challenge. More effective attention and interventions should be directed toward the elderly and toward persons with lower incomes and low levels of education.
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