Variation in international cancer mortality: factor and cluster analysis.
Variation in international cancer mortality: factor and cluster analysis.
复制标题
国际癌症死亡率的变化：因子和聚类分析。
DOI：
10.1093/ije/16.4.501
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发表时间：
1987
影响因子：
7.7
通讯作者：
Correa,P
中科院分区：
文献类型：
--
作者：
Groves,FD;Zavala,DE;Correa,P
使用因子分析和聚类分析两种数据简化技术对34个国家13个地点的癌症死亡率进行了分析。因子分析确定了两个独立的潜在因素，它们似乎影响癌症死亡率模式。第一个因素似乎与富裕有关，可能是发达国家常见的高脂肪饮食和吸烟的综合影响。第二个因素可能反映了单宁含量较高的饮料的普遍消费，如茶、红酒和‘Mate’，以及吸烟或咀嚼黑烟草。为每个国家计算了两个因素得分，然后根据每个因素的得分对这些国家进行排名。集群分析使用这些因素得分作为集群标准，将国家聚合为七个不同的组。这样定义的每一组都显示了特定部位癌症死亡率的独特概况。这种方法很有希望成为总结各种癌症(可能还有其他慢性病)在不同人群中的发病率和死亡率的大量数据的一种手段。
Mortality rates for cancers of 13 sites in 34 countries were analysed using two data reduction techniques, factor and cluster analysis. Factor analysis identified two independent underlying factors which appear to influence cancer mortality patterns. The first factor, which appears to be related to affluence, may represent the combined effects of high fat diets and cigarette smoking common in developed countries. The second factor may reflect the common consumption of beverages of a high tannin content such as tea, red wine and ‘mate’ as well as the smoking or chewing of black tobacco. Two factor scores were computed for each country, and the countries were then ranked according to their scores on each factor. Cluster analysis aggregated countries into seven distinct groups using these factor scores as the clustering criteria. Each of the groups thus defined displays a distinctive profile of site-specific cancer mortality rates. This methodology shows promise as a means of summarizing large sets of data on morbidity and mortality from a variety of cancers (and possibly other chronic diseases as well) in diverse populations.