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Chinese Journal of Cardiology ; (12): 790-794, 2013.
Article in Chinese | WPRIM | ID: wpr-261467

ABSTRACT

<p><b>OBJECTIVE</b>To observe the risk factors and prevalence status of hypertension at the Guangxi Zhuang-rural region.</p><p><b>METHODS</b>Through cross-sectional survey, Xinlan village (Ethnic-Zhuang tribe village) in Liangqing District of Nanning was chosen as survey site. Select Zhuang-ethnic villagers (age ≥ 18 years, living time ≥ 6 months per year) as survey subjects. Questionnaire survey and examinations including blood pressure measurement, blood tests, and urine test were made by trained medical professionals. Multivariate logistic regression analysis was used to analyze the risk factors of hypertension.</p><p><b>RESULTS</b>Complete data were obtained in 2036 residents. The hypertension prevalence rate was 11.6% (237/2036) [12.5% (110/883) for male, 11.0% (127/1153) for female], adjusted prevalence rate was 10.7% (11.3% for male, 10.4% for female) based on the population of Guangxi in 2010. Hypertension awareness rate was 36.3% (86/237) , therapy rate was 22.8% (54/237) , and control rate was 11.0% (26/237) . Multivariate logistic regression analysis showed that age (OR = 1.06, 95%CI:1.05-1.08, P < 0.01), alcohol drinking habit (OR = 1.92, 95%CI:1.25-2.95, P < 0.01), high salt diet(OR = 1.48, 95%CI:1.04-2.10, P < 0.05), diabetes(OR = 7.03, 95%CI:1.94-25.44, P < 0.01), obesity(OR = 1.20, 95%CI: 1.15-1.25, P < 0.01) and hypertriglyceridemia(OR = 1.12, 95%CI:1.03-1.22, P < 0.01) were risk factors for hypertension in this cohort.</p><p><b>CONCLUSIONS</b>Prevalence rate is slightly lower in adult of the Guangxi Zhuang-rural areas than national or Guangxi Zhuang Autonomous Region levels, but hypertension awareness, therapy and control rates in this cohort are not satisfactory. Targeted strategies are needed to improve the prevention and therapy of hypertension in this region.</p>


Subject(s)
Adult , Aged , Female , Humans , Male , Middle Aged , Blood Pressure Determination , China , Epidemiology , Cross-Sectional Studies , Ethnicity , Hypertension , Ethnology , Life Style , Logistic Models , Multivariate Analysis , Prevalence
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