加拿大超重和肥胖的探索性空间分析。
An exploratory spatial analysis of overweight and obesity in Canada.
机构信息
School of Geography and Earth Sciences, McMaster University, 1280 Main Street West, Hamilton, Ontario, Canada.
出版信息
Prev Med. 2009 Apr;48(4):362-7. doi: 10.1016/j.ypmed.2009.01.017. Epub 2009 Feb 7.
OBJECTIVE
The identification of spatial clusters of overweight and obesity can be a key indicator for targeting scarce public health resources. This paper examines sex-specific spatial patterns of overweight/obesity in Canada as well as investigates the presence of spatial clusters.
METHODS
Using data on Body Mass Index (BMI) from the 2005 Canadian Community Health Survey (20 years and older) cycle 3.1, a cross-sectional ecological-level study was conducted. Sex-specific prevalence of overweight and obesity were first mapped to explore spatial patterns. In order to assess the degree of spatial dependence, exploratory spatial data analysis was performed using the Moran's I statistic and the Local Indicator of Spatial Association (LISA).
RESULTS
Results revealed marked geographical variation in overweight/obesity prevalence with higher values in the Northern and Atlantic health-regions and lower values in the Southern and Western health-regions of Canada. Significant positive spatial autocorrelation was found for both males and females, with significant clusters of high values or 'hot spots' of obesity in the Atlantic and Northern health-regions of Alberta, Saskatchewan, Manitoba and Ontario.
CONCLUSIONS
Findings reveal overweight/obesity clusters and underscore the importance of geographically focused prevention strategies informed by population-specific needs.
目的
识别超重和肥胖的空间聚集可以成为针对稀缺公共卫生资源的关键指标。本文研究了加拿大超重/肥胖的性别特异性空间模式,并调查了空间聚集的存在情况。
方法
使用 2005 年加拿大社区健康调查(20 岁及以上)第 3.1 周期的数据,进行了一项横断面生态水平研究。首先绘制了超重和肥胖的性别特异性流行率图,以探索空间模式。为了评估空间依赖性的程度,使用 Moran's I 统计量和局部空间关联指标(LISA)进行了探索性空间数据分析。
结果
结果显示,超重/肥胖的流行率存在明显的地理差异,加拿大北部和大西洋地区的数值较高,南部和西部地区的数值较低。男性和女性都发现了显著的正空间自相关,艾伯塔省、萨斯喀彻温省、曼尼托巴省和安大略省的大西洋和北部地区存在肥胖的高值显著聚集或“热点”。
结论
研究结果揭示了超重/肥胖的聚集现象,并强调了根据特定人群需求制定具有地理针对性的预防策略的重要性。