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首页> 外文期刊>International Journal of Environmental Research and Public Health >Defining Neighbourhoods as a Measure of Exposure to the Food Environment
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Defining Neighbourhoods as a Measure of Exposure to the Food Environment

机译:定义邻里以衡量食物环境的暴露程度

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Neighbourhoods are frequently used as a measure for individuals’ exposure to the food environment. However, the definitions of neighbourhoods fluctuate and have not been applied consistently in previous studies. Neighbourhoods defined from a single fixed location fail to capture people’s complete exposure in multiple locations, but measuring behaviour using traditional methods can be challenging. This study compares the traditional methods of measuring exposure to the food environment to methods that use data from GPS tracking. For each of the 187 participants, 11 different neighbourhoods were created in which the exposure to supermarkets and fast food outlets were measured. ANOVA, Tukey’s Honestly Significant Difference (HSD) test and t-tests were performed to compare the neighbourhoods. Significant differences were found between area sizes and the exposure to supermarkets and fast food outlets for different neighbourhood types. Second, significant differences in exposure to food outlets were found between the urban and rural neighbourhoods. Neighbourhoods are clearly a diffused and blurred concept that varies in meaning depending on each person’s perception and the conducted study. Complexity and heterogeneity of human mobility no longer appear to correspond to the use of residential neighbourhoods but rather emphasise the need for methods, concepts and measures of individual activity and exposure.
机译:邻居经常被用来衡量个人暴露于食物环境的程度。然而,邻里的定义是波动的,在先前的研究中并没有得到一致的应用。从单个固定位置定义的邻域无法捕获人们在多个位置的全部曝光,但是使用传统方法来衡量行为可能具有挑战性。这项研究将测量食物环境暴露的传统方法与使用GPS跟踪数据的方法进行了比较。对于这187名参与者中的每一个,创建了11个不同的社区,在这些社区中测量了超市和快餐店的暴露程度。进行了方差分析,Tukey的诚实显着差异(HSD)测试和t检验,以比较邻居。发现面积大小与不同街区类型的超市和快餐店的暴露程度之间存在显着差异。其次,在城市和农村地区之间,人们接触食品的机会存在显着差异。邻居显然是一个分散且模糊的概念,其含义因每个人的感知和所进行的研究而异。人口流动的复杂性和异质性似乎不再与居住区的使用相对应,而是强调了对个人活动和接触的方法,概念和措施的需求。

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