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首页> 外文期刊>International Journal of Environmental Research and Public Health >Spatial Patterns of Ischemic Heart Disease in Shenzhen, China: A Bayesian Multi-Disease Modelling Approach to Inform Health Planning Policies
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Spatial Patterns of Ischemic Heart Disease in Shenzhen, China: A Bayesian Multi-Disease Modelling Approach to Inform Health Planning Policies

机译：中国深圳缺血性心脏病的空间分布：告知健康规划政策的贝叶斯多病建模方法

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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.
机译：结合高血压信息，本文运用贝叶斯多病分析法对缺血性心脏病（IHD）风险的空间格局进行建模。还对有害酒精摄入（HAI）和超重/肥胖的模式进行了建模，因为它们是导致IHD和高血压的常见危险因素。利用深圳市街道一级的三种贝叶斯多病模型分析了2012年IHD和高血压的住院数据。结果显示，与IHD标准化住院率（SHR）相比，IHD高危人群向东北方向略有偏移。发现超重/肥胖和HAI的空间变化对IHD模式贡献最大。确定的IHD风险模式将有益于IHD综合预防。超重/肥胖症和HAI的空间格局可通过提供有关小区域水平风险因素的信息来补充当前的疾病监测系统，从而有利于相关慢性病的综合预防。应优先考虑深圳中南部存在IHD，超重/肥胖和HAI的高风险的干预措施，包括酒精控制，创新的健康饮食工具包分发，保险制度修订以及基于社区的慢性病干预措施。还建议相关的卫生资源规划首先关注这些领域。

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