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1.
Article in Chinese | WPRIM | ID: wpr-869993

ABSTRACT

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.

2.
Article in Chinese | WPRIM | ID: wpr-798596

ABSTRACT

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.

3.
Article in Chinese | WPRIM | ID: wpr-800533

ABSTRACT

Objective@#To estimate the burden attributed to the dietary inorganic arsenic exposure with lung cancer, bladder cancer and skin cancer as end points.@*Methods@#Inorganic arsenic, food or diet were used as Chinese keywords and arsenic, food and China were used as English keywords to search for literatures related to the dietary inorganic arsenic exposure published by China National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform and PubMed Database. Using the data from the China National Nutrition and Health Survey (CNNHS) in 2002 to estimate the dietary inorganic arsenic exposure in Chinese residents. The annual cancer cases attributed to the dietary inorganic arsenic exposure were calculated based on the data from Chinese Cancer Registry Annual Report in 2013. The disability adjusted life year (DALY) was calculated using tools built by WHO.@*Results@#The total DALY of cancer caused by the dietary inorganic arsenic exposure was 419.4 thousand, and the DALY rate was 31.47 per 100 000. The DALY of lung cancer in males and females was 237.7 thousand and 102.5 thousand. The DALY of bladder cancer in males and females was 13.2 thousand and 3.9 thousand. The DALY of skin cancer in males and females was 29.4 thousand and 32.8 thousand.@*Conclusion@#In 2013, the Chinese population had a lower burden of cancer due to the dietary exposure to inorganic arsenic.

4.
Article in Chinese | WPRIM | ID: wpr-799861

ABSTRACT

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.

5.
Article in Chinese | WPRIM | ID: wpr-824710

ABSTRACT

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.

6.
Article in Chinese | WPRIM | ID: wpr-709927

ABSTRACT

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.

7.
Article in Chinese | WPRIM | ID: wpr-488020

ABSTRACT

Objective To investigate the effect of haplotype and linkage disequilibrium of PPARγgene rs3856806, rs12490265, rs1797912, and rs1175543 in patients with metabolic syndrome ( MS) in Kazakhs of Xinjiang.Methods MALDI-TOF-MS was used to detect PPARγgene rs3856806, rs12490265, rs1797912, and rs1175543 genotypes in 489 subjects ( including 245 MS and 244 controls ) .Results ( 1 ) The frequencies of rs3856806T, rs12490265A, rs1797912C and rs1175543G alleles for MS group in Kazakhs were all significantly lower than those for controls [ rs3856806T allele:12.53% vs 17.01%; rs12490265A allele: 31.84% vs 38.52%;rs1797912C allele:35.31%vs 43.24%;rs1175543G allele:40.61%vs 47.54%(all P<0.05)].(2)Significant linkage disequilibrium were observed between PPARγgene rs1797912 and rs1175543, rs12490265, and rs1175543 polymorphisms.(3)AGCC and GAAT were significantly different between MS and control group in Kazakhs(both P<0.05).(4) Carrying rs3856806T, rs12490265A, rs1797912C, rs1175543G was 0.267 times that of carrying rs3856806C, rs12490265G, rs1797912A, rs1175543A.Conclusions The PPARγgene rs3856806, rs12490265, rs1797912 and rs1175543 polymorphisms were associated with metabolic syndrome in Kazakhs.There were very strong linkage disequilibrium between PPARγgene rs1797912 and rs1175543, rs12490265 and rs1175543 polymorphisms, The AGCC haplotype and GAAT haplotype may serve as protective factors of metabolic syndrome.Carrying rs3856806T, rs12490265A, rs1797912C, and rs1175543G may confer lower risk of MS in Kazakhs.

8.
Article in Chinese | WPRIM | ID: wpr-461028

ABSTRACT

Objective To investigate the prevalence and associated risk factors of diabetes mellitus in populations of Hans and Kazaks in Xinjiang. Methods A total of 7 299 Hans and Kazaks adults from Shihezi, Xinyuan County of Yining city, and Shawan town of Tacheng City were surveyed. The data were collected according to questionnaire and physical examination and laboratory test. Results The prevalence rates of diabetes mellitus for male, female and all subjects were 8. 14% , 7. 77% , 7. 93% (Hans), and 7. 41% , 4. 90% , 5. 89% (Kazaks), respectively in Hans and Kazaks, Standardized rates were 6. 40% , 7. 06% , 6. 66% (Hans), and 5. 87% , 4. 60% , 5. 28% ( Kazaks), respectively . The prevalence rates of impaired fasting glucose( IFG) were 9. 54% , 8. 08% , 8. 70% ( Hans), and 12. 18% , 8. 62% , 10. 03% ( Kazaks), respectively. Standardized rates were 7. 04% , 7. 23% , 8. 54% ( Hans), and 10. 12% , 8. 09% , 9. 31% ( Kazaks), respectively. Old age, hypertension, dyslipidemia, overweight and obesity, and central obesity were risk factors for diabetes mellitus. Conclusion The prevalence rates of diabetes mellitus and IFG in Hans and Kazaks are higher than those in ethnic minorities in other region. Primary or secondary prevention should be implemented in time.

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