Ma Li-Guang, Zhao Jun, Ren Zhou-Peng, Wang Yuan-Yuan, Peng Zuo-Qi, Wang Jin-Feng, Ma Xu
National Research Institute for Family Planning, Beijing 100081, People's Republic of China.
BMC Public Health. 2014 Jun 12;14:595. doi: 10.1186/1471-2458-14-595.
Congenital heart disease (CHD) is the most common type of major birth defects in Sichuan, the most populous province in China. The detailed etiology of CHD is unknown but some environmental factors are suspected as the cause of this disease. However, the geographical variations in CHD prevalence would be highly valuable in providing a clue on the role of the environment in CHD etiology. Here, we investigate the spatial patterns and geographic differences in CHD prevalence among 0- to 14-year-old children, discuss the possible environmental risk factors that might be associated with CHD prevalence in Sichuan Basin from 2004 to 2009.
The hierarchical Bayesian model was used to estimate CHD prevalence at the township level. Spatial autocorrelation statistics were performed, and a hot-spot analysis with different distance thresholds was used to identify the spatial pattern of CHD prevalence. Distribution and clustering maps were drawn using geographic information system tools.
CHD prevalence was significantly clustered in Sichuan Basin in different spatial scale. Typical hot/cold clusters were identified, and possible CHD causes were discussed. The association between selected hypothetical environmental factors of maternal exposure and CHD prevalence was evaluated.
The largest hot-spot clustering phenomena and the CHD prevalence clustering trend among 0- to 14-year-old children in the study area showed a plausibly close similarity with those observed in the Tuojiang River Basin. The high ecological risk of heavy metal(Cd, As, and Pb)sediments in the middle and lower streams of the Tuojiang River watershed and ammonia-nitrogen pollution may have contribution to the high prevalence of CHD in this area.
先天性心脏病(CHD)是中国人口最多的省份四川省最常见的主要出生缺陷类型。CHD的确切病因尚不清楚,但一些环境因素被怀疑是该病的病因。然而,CHD患病率的地理差异对于揭示环境因素在CHD病因中的作用具有很高的价值。在此,我们调查了0至14岁儿童中CHD患病率的空间格局和地理差异,探讨了2004年至2009年四川盆地可能与CHD患病率相关的环境风险因素。
采用分层贝叶斯模型估计乡镇水平的CHD患病率。进行空间自相关统计,并使用不同距离阈值的热点分析来识别CHD患病率的空间格局。使用地理信息系统工具绘制分布图和聚类图。
在不同空间尺度上,四川盆地的CHD患病率显著聚类。识别出典型的热/冷聚类,并讨论了可能的CHD病因。评估了选定的母亲暴露假设环境因素与CHD患病率之间的关联。
研究区域内0至14岁儿童中最大的热点聚类现象和CHD患病率聚类趋势与沱江流域观察到的情况显示出可能的密切相似性。沱江流域中下游重金属(镉、砷和铅)沉积物的高生态风险以及氨氮污染可能是该地区CHD高患病率的原因之一。