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Five-year lung cancer mortality risk analysis and topography in Xuan Wei: a spatiotemporal correlation analysis

机译:玄魏五年肺癌死亡率风险分析及地形:时尚相关分析

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In Xuan Wei, China, the lung cancer mortality rate is rising significantly more than that of the nation overall. However, it remains unclear 1) if improved diagnosis can just partially explain this observation and how other local risk factors may be correlated with the lung cancer mortality rate and 2) how the lung cancer mortality rates differ within Xuan Wei and how these spatiotemporal patterns are linked with local risk factors. To increase etiological knowledge, this study evaluated the spatial and temporal distributions of the health effects (the lung cancer mortality rates) from 2011 to 2015. Four steps of spatial analysis were applied, as follows: 1) hotspot analysis to determine the geographical patterns of lung cancer mortality, 2) spatially-weighted sum to identify areas with higher health risks, 3) bivariate statistical analysis to assess the overall correlation between coal mines and lung cancer mortality, and 4) geographically-weighted regression to test for correlations among different towns within Xuan Wei. Women had higher lung cancer mortality rates than those in men, with an increasing trend in both sexes over time. The incidence rates in Laibin Town were the highest in Xuan Wei every year. Over the 5-year study period, the lung cancer mortality was increasingly concentrated in Laibin, Shuanglong, and Longchang, where the smoky coal mines are most concentrated. The population-level health risks from the coal mine in Xuan Wei were mapped and divided into five types of risk areas (Type I - Type IV). Correlation analysis revealed that there was no significant correlation between lung cancer mortality as a whole and coal mine distribution during the 5-year study period. However, the geographically-weighted regression revealed a stronger correlation in medium (Type III) and second-lowest (Type IV) health risks. Xuan Wei lung cancer mortality has increased continuously since the third national retrospective surveys on the causes of death by the Ministry of Health of the People's Republic of China (2004-2005), especially for local women and residents over 35?years of age. Geographically, lung cancer in Xuan Wei showed unique spatiotemporal clustering. The local lung cancer mortality was significantly correlated with the smoky coal mine geographically. Some specific towns (Laibin, Shuanglong, and Longchang) within Xuan Wei manifested high correlations between lung cancer mortality and coal mines. The effects of coal mines on lung cancer mortality rates also spread geographically outward from these areas. Public health concern regarding lung cancer in Xuan Wei should prioritize higher-risk towns surrounded by smoking coal mines. Intervention strategies for particular toxic coal types require further studies on their chemical characteristics and mechanisms of carcinogenesis. Additional studies are also warranted to systematically examine the local environmental health risks related to coal industries and combustion air pollution and eventually to conduct early screening of lung cancer for local people who are more exposed to smoky coal in high-risk areas.
机译:在中国玄伟,肺癌死亡率远远超过全国总体上涨。然而,如果改善的诊断可以部分解释这种观察以及其他局部危险因素可能与肺癌死亡率和2)如何与肺癌的肺癌死亡率有何相关性以及这些时空模式的肺癌死亡率如何以及这些时空模式如何不同。与当地风险因素相关联。为了提高病因识别,本研究评估了2011年至2015年的健康效应(肺癌死亡率)的空间和时间分布。应用了四个空间分析步骤,如下:1)热点分析确定地理图案肺癌死亡率,2)空间加权和识别具有更高健康风险的地区,3)生物统计分析,评估煤矿和肺癌死亡率之间的总相关性,以及4)地理加权回归对不同城镇之间的相关性进行相关性回归在轩威。女性肺癌死亡率高于男性的肺癌死亡率,随着时间的推移,两性的趋势越来越大。 Laibin Town的发病率每年都是轩伟最高的。在5年的学习期间,肺癌死亡率越来越集中在Laibin,双龙和龙城,烟雾煤矿最集中。宣卫煤矿的人口水平健康风险被映射并分为五种风险区域(I型 - IV型)。相关分析显示,在5年研究期间,肺癌死亡率与煤矿分布无显着相关性。然而,地理加权回归揭示了中等(III型)和第二最低(IV型)健康风险的更强相关性。自第三届全国回顾性关于中华人民共和国卫生部(2004-2005)的第三届全国回顾性调查以来,轩伟肺癌死亡率不断增加,特别是对于超过35岁以上的当地妇女和居民。在地理上,轩威的肺癌表现出独特的时空聚类。局部肺癌死亡率与烟雾煤矿的地理位置显着相关。轩威的一些特定城镇(莱恩,双龙和龙城)表现出肺癌死亡率和煤矿之间的高相关性。煤矿对肺癌死亡率的影响也来自这些地区的地理位置。关于宣卫肺癌的公共卫生关注应优先考虑吸烟煤矿包围的高风险城镇。特定有毒煤炭类型的干预策略需要进一步研究其化学特征和致癌机制。还有额外的研究也有助于系统地检查与煤炭产业和燃烧空气污染有关的当地环境健康风险,最终对当地人民进行肺癌的早期筛查,这些人在高风险地区的烟雾煤中更接触。

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