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  • Chen, Tao  (4)
  • 2015-2019  (4)
  • 1
    Online Resource
    Online Resource
    Cardiovascular Diseases and Risk‐Factor Burden in Urban and Rural Communities in High‐, Middle‐, and Low‐Income Regions of China: A Large Community‐Based Epidemiological Study
    Ovid Technologies (Wolters Kluwer Health) ; 2017
    In:  Journal of the American Heart Association Vol. 6, No. 2 ( 2017-02-02)
    Details
    In: Journal of the American Heart Association, Ovid Technologies (Wolters Kluwer Health), Vol. 6, No. 2 ( 2017-02-02)
    Abstract: Most cardiovascular diseases occur in low‐ and middle‐income regions of the world, but the socioeconomic distribution within China remains unclear. Our study aims to investigate whether the prevalence of cardiovascular diseases differs among high‐, middle‐, and low‐income regions of China and to explore the reasons for the disparities. Methods and Results We enrolled 46 285 individuals from 115 urban and rural communities in 12 provinces across China between 2005 and 2009. We recorded their medical histories of cardiovascular diseases and calculated the INTERHEART Risk Score for the assessment of cardiovascular risk‐factor burden, with higher scores indicating greater burden. The mean INTERHEART Risk Score was higher in high‐ and middle‐income regions than in low‐income regions (9.47, 9.48, and 8.58, respectively, P 〈 0.0001). By contrast, the prevalence of total cardiovascular disease (stroke, ischemic heart disease, and other heart diseases that led to hospitalization) was lower in high‐ and middle‐income regions than in low‐income regions (7.46%, 7.42%, and 8.36%, respectively, P trend =0.0064). In high‐ and middle‐income regions, urban communities have higher INTERHEART Risk Score and higher prevalent rate than rural communities. In low‐income regions, however, the prevalence of total cardiovascular disease was similar between urban and rural areas despite the significantly higher INTERHEART Risk Score for urban settings. Conclusions We detected an inverse trend between risk‐factor burden and cardiovascular disease prevalence in urban and rural communities in high‐, middle‐, and low‐income regions of China. Such asymmetry may be attributed to the interregional differences in residents’ awareness, quality of healthcare, and availability and affordability of medical services.
    Type of Medium: Online Resource
    ISSN: 2047-9980
    URL: Article
    DOI: 10.1161/JAHA.116.004445
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2017
    detail.hit.zdb_id: 2653953-6
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  • 2
    Online Resource
    Online Resource
    Predictive Values of Anthropometric Measurements for Cardiometabolic Risk Factors and Cardiovascular Diseases Among 44 048 Chinese
    Ovid Technologies (Wolters Kluwer Health) ; 2019
    In:  Journal of the American Heart Association Vol. 8, No. 16 ( 2019-08-20)
    Details
    In: Journal of the American Heart Association, Ovid Technologies (Wolters Kluwer Health), Vol. 8, No. 16 ( 2019-08-20)
    Abstract: The predictive value of adiposity indices and the newly developed index for cardiometabolic risk factors and cardiovascular diseases ( CVD s) remains unclear in the Chinese population. This study aimed to compare the predictive value of A Body Shape Index with other 5 conventional obesity‐related anthropometric indices (body mass index, waist circumference, hip circumference, waist‐to‐hip ratio, waist‐to‐height ratio) in Chinese population. Methods and Results A total of 44 048 participants in the study were derived from the baseline data of the PURE ‐China (Prospective Urban and Rural Epidemiology) study in China. All participants’ anthropometric parameters, CVD s, and risk factors (dyslipidemia, abnormal blood pressure, and hyperglycemia) were collected by standard procedures. Multivariable logistic regression models and receiver operator characteristic curve analysis were used to evaluate the predictive values of obesity‐related anthropometric indices to the cardiometabolic risk factors and CVD s. A positive association was observed between each anthropometric index and cardiometabolic risk factors and CVD s in all models ( P 〈 0.001). Compared with other anthropometric indices (body mass index, waist circumference, hip circumference, waist‐to‐hip ratio, and A Body Shape Index), waist‐to‐height ratio had significantly higher areas under the curve ( AUC s) for predicting dyslipidemia ( AUC s: 0.646, sensitivity: 65%, specificity: 44%), hyperglycemia ( AUC s: 0.595, sensitivity: 60%, specificity: 45%), and CVD s ( AUC s: 0.619, sensitivity: 59%, specificity: 41%). Waist circumference showed the best prediction for abnormal blood pressure ( AUC s: 0.671, sensitivity: 66%, specificity: 40%) compared with other anthropometric indices. However, the new body shape index did not show a better prediction to either cardiometabolic risk factors or CVD s than that of any other traditional obesity‐related indices. Conclusions Waist‐to‐height ratio appeared to be the best indicator for dyslipidemia, hyperglycemia, and CVD s, while waist circumference had a better prediction for abnormal blood pressure.
    Type of Medium: Online Resource
    ISSN: 2047-9980
    URL: Article
    DOI: 10.1161/JAHA.118.010870
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2019
    detail.hit.zdb_id: 2653953-6
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  • 3
    Online Resource
    Online Resource
    Clusters of Human Infection and Human-to-Human Transmission of Avian Influenza A(H7N9) Virus, 2013–2017
    Centers for Disease Control and Prevention (CDC) ; 2018
    In:  Emerging Infectious Diseases Vol. 24, No. 2 ( 2018-02), p. 397-400
    Details
    In: Emerging Infectious Diseases, Centers for Disease Control and Prevention (CDC), Vol. 24, No. 2 ( 2018-02), p. 397-400
    Type of Medium: Online Resource
    ISSN: 1080-6040 , 1080-6059
    URL: Article
    DOI: 10.3201/eid2402.171565
    Language: English
    Publisher: Centers for Disease Control and Prevention (CDC)
    Publication Date: 2018
    detail.hit.zdb_id: 2004375-2
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  • 4
    Online Resource
    Online Resource
    Sero‐epidemiologic study of influenza A(H7N9) infection among exposed populations, China 2013‐2014
    Wiley ; 2017
    In:  Influenza and Other Respiratory Viruses Vol. 11, No. 2 ( 2017-03), p. 170-176
    Details
    In: Influenza and Other Respiratory Viruses, Wiley, Vol. 11, No. 2 ( 2017-03), p. 170-176
    Abstract: The first human infections of novel avian influenza A(H7N9) virus were identified in China in March 2013. Sentinel surveillance systems and contact tracing may not identify mild and asymptomatic human infections of influenza A(H7N9) virus. Objectives We assessed the seroprevalence of antibodies to influenza A(H7N9) virus in three populations during the early stages of the epidemic. Patients/Methods From March 2013 to May 2014, we collected sera from the general population, poultry workers, and contacts of confirmed infections in nine Chinese provinces reporting human A(H7N9) infections and, for contacts, second sera 2‐3 weeks later. We screened for A(H7N9) antibodies by advanced hemagglutination inhibition ( HI ) assay and tested sera with HI titers ≥20 by modified microneutralization ( MN ) assay. MN titers ≥20 or fourfold increases in paired sera were considered seropositive. Results Among general population sera (n=1480), none were seropositive. Among poultry worker sera (n=1866), 28 had HI titers ≥20; two (0.11%, 95% CI: 0.02‐0.44) were positive by MN . Among 61 healthcare and 117 non‐healthcare contacts’ sera, five had HI titers ≥20, and all were negative by MN . There was no seroconversion among 131 paired sera. Conclusions There was no evidence of widespread transmission of influenza A(H7N9) virus during March 2013 to May 2014, although A(H7N9) may have caused rare, previously unrecognized infections among poultry workers. Although the findings suggest that there were few undetected cases of influenza A(H7N9) early in the epidemic, it is important to continue monitoring transmission as virus and epidemic evolve.
    Type of Medium: Online Resource
    ISSN: 1750-2640 , 1750-2659
    URL: Issue
    URL: Article
    DOI: 10.1111/irv.2017.11.issue-2
    DOI: 10.1111/irv.12435
    Language: English
    Publisher: Wiley
    Publication Date: 2017
    detail.hit.zdb_id: 2272349-3
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