Abstract

BackgroundSpatial analyses and ecological studies are essential for epidemiology and public health. The present study combining these two methods was performed to identify spatial clusters of selected types of cancer in Japan and to determine their societal characteristics focusing on homogeneity among clusters.ResultsSpatial clusters of high mortality rates of male colon and lung cancer and of female breast cancer were identified by the spatial scan statistic using Japanese municipal data (N = 3360) from 1993 to 1998 and also municipalities were divided into four societal clusters based on socioeconomic indicators and population density (urban-rich, suburban, rural-poor, and clutter). Five, seven, and four mortality clusters were identified for lung, colon and breast cancer, respectively. For colon and breast cancer, most municipalities of all except one cluster were included in a single societal cluster (urban-rich). The municipalities associated with mortality clusters for lung cancer belonged to various societal clusters.ConclusionIncreased mortality rates of colon and breast cancer can be explained by homogenous societal characteristics related to urbanisation, although there were exceptional areas with higher mortality rates. The regional variation in lung cancer mortality rate appeared to be due to heterogeneous factors. These findings and the analysis performed in the present study will contribute to both nationwide and region-specific cancer prevention strategies.

Highlights

  • Spatial analyses and ecological studies are essential for epidemiology and public health

  • Ecological studies examining the relationships between regional health levels and various characteristics represent another essential approach in epidemiology and public health

  • SC2 are located surrounding SC1, and SC3 are located in mountain areas

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Summary

Introduction

Spatial analyses and ecological studies are essential for epidemiology and public health. Recent advancements in technologies, such as geographic information systems (GIS), have allowed the application of disease mapping and spatial analyses, such as spatial clustering and cluster detection, in epidemiological research [36]. In this context, clusters are defined as unusual concentrations of health events in both space and time [1]. Ecological studies examining the relationships between regional health levels and various characteristics represent another essential approach in epidemiology and public health Such studies have a number of limitations, especially confounding factors and ecological fallacy, factors that may contribute to regional health variations can be identified and hypotheses can be formulated for further research [7,8]. Recent systematic studies using municipal data regarding all causes and cause-specific mortality along with large numbers of societal indicators showed substantial relationships between a region's mortality rate and societal characteristics [13,14,15]

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