| Objective:In Chengdu, the study about that the people were all from the high risk group of stroke, aimed to evaluate the prevalence, awareness, treatment and control of dyslipidemia, and its associated risk factors, which can offer evidences to prevent dyslipidemia in the high risk group of stroke, and provide a scientific basis for intervention system of high risk group. Methods:The cross-sectional survey of the high risk participants was conducted by cluster sampling from the communities(Caotang, Renmin and Supo community)between July 2012 and March 2013. About 27,265 people were interviewed and physical examination by medical workers and we selected 3747 people regarded as high risk stroke, according to the principal of high risk of stroke. Statistical analyses were performed using Spss software, version13.0 (SPSS, Inc.). Continuous variables were given as mean±standard deviation and the categorical variables were given as percentages. The multivariate logistic regression model was used to adjust odds ratios(ORs) and 95% confidence intervals(CI) of dyslipidemia prevalence with different characteristics. All P-value were two-side and significant difference was set at P-values< 0.05.Results:1) There were 3747 objects including 1521(40.6%) men and 2226 (59.4%) women.1736 (46.9%) participants were diagnosed in dyslipidemia, and the numbers of dyslipidemia in men and women are 805(52.9%) and 931(41.8%). 2) Through the multiple regression model analysis, the risk of dyslipidemia in male was nearly 1.6 times than women(OR=1.59, 95%CI:1.39-1.51). After adjusting, the risk of 50-59years,60-69 years, 70-79years and>80years of dyslipidemia were higher than 40-49years nearly 1.4times(OR=1.42,95%CI:1.17-1.79),1.7times (OR= 1.68,95% CI:1.50-2.13),2.4times(OR=2.37,95%CI:1.74-3.12) and 2.5 times (OR= 2.49,95%CI:1.87-3.24), respectively. The risk of dyslipidemia between higher education and lower education(OR=1.09,95% CI:0.89-1.31, P= 0.328), or between medical insurance and no medical insurance (OR=1.09,95%CI:0.89-1.31,P=0.328), was no significant differences. Hypertension(OR=1.96,95%CI:1.33-2.47), diabetes(OR=1.82,95% CI: 1.29-2.17)and stroke history (OR=1.64,95%CI:1.25-3.13)were positive correlation with dyslipidemia.3) The rate of awareness of dyslipidemia in high risk group were 61.2%(1062), about 27.2%(472) receiving treatment, and 12.0%(208) having controlled. The rate of awareness was increased by age in both sex(P<0.05). The awareness of lower education in men(20.7%) was lower than higher education(35.9%, P=0.031), meanwhile the awareness of lower education in women (23.3%)was lower than higher education(42.8%, P<0.05). The awareness of people who have medical insurance (male:61.8%; female:66.0%)were higher than in no medical insurance in both sexes (male:48.1%; female:39.3%) (P<0.05). The rate of treatment was increased by age in both sex(P<0.05). The rate of treatment of higher education in female(47.0%) was higher than lower education(43.0%, P<0.05). The treatment of people who have medical insurance (male:46.1%; female:49.1%) is significant higher than no medical insurance (male:10.2%; female:12.3%) (P<0.05). The rate of treatment had no significant difference with age in men(P=0.512)and women(P=0.291). There was no significant difference between higher education people who receive control (43.3%) and lower education (40.7%) in male(P=0.914), and the result was same in female(higher education:45.5% vs. lower education:45.3%, P=0.781). The rate of control of people who have medical insurance(male:43.2%; female: 46.7%) were higher than no medical insurance(male:0%; female:0%) (P<0.05) in both sexes. Conclusion:The main type of dyslipidemia was high LDL-C in high risk group of stroke in Chengdu in Sichuan. The high risk factors were male, increased age, hypertension, diabetes, stroke history and smoke. The awareness of dyslipidemia was high in this district, but the treatment and control were low. The awareness and treatment of dyslipidemia were increased by age, and were associated with education that the awareness of people who have higher education higher than lower education. The rate of treatment in higher education higher than lower education in female, but there was no relation with education in male. The rate of control in high risk group were no relation with age and education, but it related with medical insurance. Therefore, we should take different measures for different people in communities. |
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