Epidemiological characteristics and influencing factors for high risk cardiovascular disease population in Jiangsu province.
10.3760/cma.j.cn112338-20210201-00083
- VernacularTitle:江苏省居民心血管病高危人群流行病学特征及其影响因素分析
- Author:
Xun WU
1
;
Yu QIN
2
;
Lan CUI
2
;
Jian SU
1
;
Lu Lu CHEN
2
;
Ran TAO
2
;
Jin Yi ZHOU
2
;
Ming WU
1
Author Information
1. School of Public Health, Nanjing Medical University, Nanjing 211166, China Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
2. Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
- Publication Type:Journal Article
- MeSH:
Cardiovascular Diseases/epidemiology*;
China/epidemiology*;
Humans;
Hypertension/epidemiology*;
Male;
Overweight;
Prevalence;
Risk Factors;
Waist Circumference
- From:
Chinese Journal of Epidemiology
2022;43(1):78-84
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To investigate the detection types and aggregation of high-risk population of cardiovascular disease (CVD) in Jiangsu province and the related influencing factors to provide reference for the prevention and control of cardiovascular disease. Methods: A total of 120 211 participants were included in the investigation. Information was collected by questionnaire based survey, physical examination and biochemical tests. χ2 test and multivariate logistic regression were used for statistical analysis. Results: The detection rate of CVD high risk was 25.03%. The detection rates were 19.01%, 4.85%, 3.18% and 5.31% for hypertension, dyslipidemia, cardiovascular history and WHO assessed risk ≥20% types, respectively. Male, rural, old age, low education level, low family income, drinking, waist circumference exceeding standard, overweight and obesity were risk factors of CVD (all P<0.01). The composition ratios of aggregation of 1, 2 and ≥3 high risk types of CVD were 74.01%, 22.91% and 3.08%, respectively. With the increase of aggregation types, the correlation strength increased with age, rural residents, education level and annual family income. Conclusion: Targeted measures should be carried out according to different influencing factors for the prevention and control of CVD in Jiangsu province in order to achieve the maximum prevention and control effect with the minimum cost.
