旧版入口
|
English
科研动态
杜清运、张铭晓的论文在International Journal of Environmental Research and Public Health正式刊出
发布时间:2016-04-20     发布者:yz         审核者:     浏览次数:

标题:Spatial Patterns of Ischemic Heart Disease in Shenzhen, China: A Bayesian Multi-Disease Modelling Approach to Inform Health Planning Policies作者:Qingyun Du , Mingxiao Zhang , Yayan Li , Hui Luan , Shi Liang and Fu Ren

来源出版物:International Journal of Environmental Research and Public Health 卷:13 期:4 页码:436 DOI: 10.3390/ijerph13040436 出版年:2016

摘要:Incorporating the information of hypertension, this paper applies Bayesian multi-disease analysis to model the spatial patterns of Ischemic Heart Disease (IHD) risks. Patterns of harmful alcohol intake (HAI) and overweight/obesity are also modelled as they are common risk factors contributing to both IHD and hypertension. The hospitalization data of IHD and hypertension in 2012 were analyzed with three Bayesian multi-disease models at the sub-district level of Shenzhen. Results revealed that the IHD high-risk cluster shifted slightly north-eastward compared with the IHD Standardized Hospitalization Ratio (SHR). Spatial variations of overweight/obesity and HAI were found to contribute most to the IHD patterns. Identified patterns of IHD risk would benefit IHD integrated prevention. Spatial patterns of overweight/obesity and HAI could supplement the current disease surveillance system by providing information about small-area level risk factors, and thus benefit integrated prevention of related chronic diseases. Middle southern Shenzhen, where high risk of IHD, overweight/obesity, and HAI are present, should be prioritized for interventions, including alcohol control, innovative healthy diet toolkit distribution, insurance system revision, and community-based chronic disease intervention. Related health resource planning is also suggested to focus on these areas first.

文献类型:Article

语种:English

作者关键词:ischemic heart disease (IHD); hypertension;Bayesian hierarchical model;multi-disease analysis;Shenzhen

通讯作者地址:Shi Liang ; Shenzhen Prevention and Treatment Center for Occupational Diseases, Guiyuan Street

Fu Ren; School of Resources and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China

电子邮件地址:carlsl@126.com;renfu@whu.edu.cn

地址:

[Qingyun Du , Mingxiao Zhang , Yayan Li ,Fu Ren]School of Resources and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China

[Qingyun Du , Fu Ren]Key Laboratory of GIS, Ministry of Education, Wuhan University, 129 Luoyu Road, Wuhan 430079, China

[Qingyun Du , Fu Ren]Key Laboratory of Digital Mapping and Land Information Application Engineering, National Administration of Surveying, Mapping and Geoinformation, Wuhan University, 129 Luoyu Road, Wuhan 430079, China

[Qingyun Du]Collaborative Innovation Center of Geospatial Technology, Wuhan University, 129 Luoyu Road, Wuhan 430079, China

[Hui Luan]School of Planning, Faculty of Environment, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada

[Shi Liang]Shenzhen Prevention and Treatment Center for Occupational Diseases, Guiyuan StreetNorth 70, Luohu District, Shenzhen 518001, China

ISSN:1661-7827

eISSN: 1660-4601

影响因子(2014):2.063

全文链接:http://www.mdpi.com/1660-4601/13/4/436