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Risk factors for cardiovascular disease and their clustering among middle aged and old people ;in Jilin province / 中华流行病学杂志
Chinese Journal of Epidemiology ; (12): 687-690, 2015.
Article in Chinese | WPRIM | ID: wpr-737439
ABSTRACT
Objective To understand the risk factors for cardiovascular disease(CVD)and their clustering among middle aged and old people in Jilin province and provide evidence for the development of effective intervention measures. Methods A total of 13 914 people aged 35-79 years were selected from 32 counties (district) in 9 prefectures (municipality) of Jilin province through multi-stage stratified cluster sampling to conduct a face to face questionnaire survey and health examination. Complex weighted computation was conducted to analyze the survey results. Results The prevalence of hypertension,diabetes,dyslipidemia,smoking and overweight were 41.3%,11.5%, 42.8%,31.5%and 53.5%,respectively. Only 16.2%of the subjects surveyed were free of the 5 risk factors.≥1 risk factor and≥3 risk factors were found to clustering in 83.8%and 29.9%of the middle aged and old people. Compared with females,the odds ratios of ≥1,≥2 and ≥3 risk factors clustering in males were 3.18,4.28 and 5.58 times higher,respectively. Compared with urban residents,the odds ratios of≥1,≥2 risk factors clustering in rural residents were 1.22 and 1.20 times higher. In addition,the odds ratios of≥1,≥2 and≥3 risk factors clustering increased with age(all P<0.001). Conclusion High prevalence of major cardiovascular disease risk factors and their clustering were found in middle aged and old people in Jilin province. More attention and intervention should be given to the old males in rural areas.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Etiology study / Qualitative research / Risk factors Language: Chinese Journal: Chinese Journal of Epidemiology Year: 2015 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Etiology study / Qualitative research / Risk factors Language: Chinese Journal: Chinese Journal of Epidemiology Year: 2015 Type: Article