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OBJECTIVE: To analyze the status and influencing factors of the health literacy(HL) of college students in a comprehensive university. METHODS: A total of 3 360 students from in a comprehensive university of Xinjiang Production and Construction Corps was selected using multi-stage stratified cluster random sampling method. The HL level of college students was investigated and evaluated with self-edited Xinjiang Construction Corps College Students Health Literacy Questionnaire. RESULTS: The HL level of college students was 17.1%. The HL level of medical students was higher than that of non-medical students(35.4% vs 10.0%, P<0.01). Logistic regression analysis results showed that among the medical students in grade three or four, those with medium and excellent academic achievement, and Han nationality had a positive effect on their HL level(P<0.01). Among the non-medical students, female and medicine related optional courses had a positive effect on their HL level(P<0.05). Students in the sophomore year had a negative effect on their HL level(P<0.05). CONCLUSION: There is a big difference in the level of HL between medical students and non-medical students. Medical college students and non-medical college students have different factors affecting HL, medical education is related to improving HL.
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Objective:To construct and confirm a predictive model for the risks of cardiovascular diseases (CVD) with metabolic syndrome (MS) and its factors in Xinjiang Kazakh population.Methods:A total of 2 286 Kazakh individuals were followed for 5 years from 2010 to 2012 as baseline survey. They were recruited in Xinyuan county, Yili city, Xinjiang. CVD cases were identified via medical records of the local hospitals in 2013, 2016 and 2017, respectively. Factor analysis was performed on 706 MS patients at baseline, and main factors, age, and sex were extracted from 18 medical examination indexs to construct a predictive model of CVD risk. After excluding the subjects with CVD at baseline and incomplete data, 2007 were used as internal validation, and 219 Kazakhs in Halabra Township were used as external validation. Logistic regression discriminations were used for internal validation and external validation, as well as to calculate the probability of CVD for each participant and receiver operating characteristic curves.Results:The prevalence of MS in Kazakh was 30.88%. Seven main factors were extracted from the Kazakh MS population, namely obesity factor, blood lipid and blood glucose factor, liver function factor, blood lipid factor, renal metabolic factor, blood pressure factor, and liver enzyme factor. The area under the curve (AUC) for predicting CVD in the internal validation was 0.773 (95% CI 0.754-0.792). In the external validation, the AUC for predicting CVD was 0.858 (95% CI 0.805-0.901). Conclusions:The CVD risk prediction model constructed by 7 main factors extracted from Kazakh MS patients has high validation efficiency and can be used for risk assessment of CVD in Xinjiang Kazakh population.
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Objective@#To construct and confirm a predictive model for the risks of cardiovascular diseases (CVD) with metabolic syndrome (MS) and its factors in Xinjiang Kazakh population.@*Methods@#A total of 2 286 Kazakh individuals were followed for 5 years from 2010 to 2012 as baseline survey. They were recruited in Xinyuan county, Yili city, Xinjiang. CVD cases were identified via medical records of the local hospitals in 2013, 2016 and 2017, respectively. Factor analysis was performed on 706 MS patients at baseline, and main factors, age, and sex were extracted from 18 medical examination indexs to construct a predictive model of CVD risk. After excluding the subjects with CVD at baseline and incomplete data, 2007 were used as internal validation, and 219 Kazakhs in Halabra Township were used as external validation. Logistic regression discriminations were used for internal validation and external validation, as well as to calculate the probability of CVD for each participant and receiver operating characteristic curves.@*Results@#The prevalence of MS in Kazakh was 30.88%. Seven main factors were extracted from the Kazakh MS population, namely obesity factor, blood lipid and blood glucose factor, liver function factor, blood lipid factor, renal metabolic factor, blood pressure factor, and liver enzyme factor. The area under the curve (AUC) for predicting CVD in the internal validation was 0.773 (95%CI 0.754-0.792). In the external validation, the AUC for predicting CVD was 0.858 (95%CI 0.805-0.901).@*Conclusions@#The CVD risk prediction model constructed by 7 main factors extracted from Kazakh MS patients has high validation efficiency and can be used for risk assessment of CVD in Xinjiang Kazakh population.
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Objective To compare metabolic syndrome(MS)with Framingham risk score as predictors of cardiovascular disease( CVD) among Kazakhs. Methods The participants were the residents who had been followed up for more than 5 years in representative areas of Kazakhs in Xinjiang. We assigned MS a continuous risk score for predicting the development of CVD based on the weights of MS components. MS and Framingham risk score were compared in terms of their ability in predicting years in representative areas of Kazakhs in Xinjiang. We assigned MS a continuous risk score for predicting the development of CVD based on the weights of MS components. MS and Framingham risk score were compared in terms of their ability in predicting development of CVD using Cox regression and receiver operating characteristic curve. Results The incidence of CVD was 13.87％. The incidence of CVD was higher in the MS group than it in the non-MS group(21.59％ vs 11.10％, P<0.001). The area under the receiver operating characteristic(ROC)curve of MS risk score was significantly larger than that of MS classification(0.727 vs 0.585, P<0.001);the area under the curve of MS risk score was close to that of Framingham risk score ( 0. 732 vs 0.727, P=0.673). The association between CVD and each quintile of MS risk score was more significant than that between Framingham risk score and CVD under the same exposed condition(4.61、9.33、14.15、22.29对3.69、6.36、8.47、16.99) . Conclusion MS risk score that included age may be a better predictor of CVD among Kazakhs.
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Objective@#To compare metabolic syndrome(MS)with Framingham risk score as predictors of cardiovascular disease(CVD)among Kazakhs population.@*Methods@#The participants were the residents who had been followed up for more than 5 years in representative areas of Kazakhs in Xinjiang. We assigned MS a continuous risk score for predicting the development of CVD based on the weights of MS components. MS and Framingham risk score were compared in terms of their ability in predicting years in representative areas of Kazakhs in Xinjiang. We assigned MS a continuous risk score for predicting the development of CVD based on the weights of MS components. MS and Framingham risk score were compared in terms of their ability in predicting development of CVD using Cox regression and receiver operating characteristic curve.@*Results@#The incidence of CVD was 13.87%. The incidence of CVD was higher in the MS group than it in the non-MS group(21.59% vs 11.10%, P<0.001). The area under the receiver operating characteristic(ROC)curve of MS risk score was significantly larger than that of MS classification(0.727 vs 0.585, P<0.001); the area under the curve of MS risk score was close to that of Framingham risk score(0.732 vs 0.727, P=0.673). The association between CVD and each quintile of MS risk score was more significant than that between Framingham risk score and CVD under the same exposed condition(4.61, 9.33, 14.15, 22.29 vs 3.69, 6.36, 8.47, 16.99).@*Conclusion@#MS risk score that included age may be a better predictor of CVD among Kazakhs population.
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Objective To investigate the prevalence of metabolic syndrome and appropriate cut-off point of waist circumference of abdominal obesity for components of metabolic syndrome in Uygur population in Xinjiang. Methods A questionnaire-based survey, physical examination, and blood testing were conducted according to cluster random sampling in Uygur residents above 18 years old in Xinjiang.There were 3 542 samples collected,based on the International Diabetes Federation(IDF)standard of metabolic syndrome, the relativities of clustering of metabolic syndrome components and different strata of waist circumference for Uygur were analyzed,and looking for the appropriate cut-off points for identifying two or more components of metabolic syndrome within the shortest distance of receiver operating characteristic(ROC)curve.Results According to IDF standard,the waist circumference(85 cm for men,82 cm for women)corresponded to the shortest distance in ROC curve,at these cut-offs of abdominal obesity for component of metabolic syndrome,the prevalences of metabolic syndrome were 21.3%,19.5%in men, while 23.0%in women,the prevalence of women was higher than that of men(P<0.05).The prevalences of≥1,≥2 components of metabolic syndrome were shown an increasing trend with the increasing size of waist circumference, and the odds ratio of clustering of metabolic syndrome components were also increased significantly.Conclusion The prevalence of metabolic syndrome among Xinjiang Uygur population was higher than that of national level.The cut-off points of waist circumference(85 cm for men,82 cm for women)combining other components definition of IDF standard were recommended for identifying metabolic syndrome of Uygurs.