Department of Nutrition and Carolina Population Center, University of North Carolina at Chapel Hill, University Sq., CB# 8120 123 W. Franklin St., Chapel Hill, NC 27516-3997, USA.
Soc Sci Med. 2010 Oct;71(8):1436-46. doi: 10.1016/j.socscimed.2010.07.027. Epub 2010 Aug 11.
The classification of places as either urban or rural is typically based on an absolute threshold of population and/or population density. However, conceptual definitions of urbanization and urbanicity encompass dimensions beyond solely population size and population density. Multiple important distinguishing urban characteristics beyond population size have been described. The crude classification of places as urban or rural coupled with infrequent updates to this information creates a measure that is prone to misclassification error. An improved measure of urbanicity would draw information from the domains that characterize urban and rural places, would be sensitive to changes over time, and would represent gradations on the continuum from rural to urban environments. The goal of the current study was to develop such a scale from existing data, test whether the scale was reliable and valid, and assess whether it provided information beyond what could be determined from the traditional urban/rural dichotomous variable. We utilized established scaling procedures from the psychometric literature to construct and evaluate a multicomponent scale to measure urban features on a continuum in China. We also provided an example of its potential contribution to health research by examining its relationship with the adult body mass index (BMI). Because the scale was constructed and tested using established scaling procedures and using a wide array of variables, it represents an improvement over previous attempts at such a scale and will provide a reliable and valid measurement tool for researchers in this arena. We demonstrate that the scale predicts the incidence of overweight/obesity populations in China, but it promises to be most useful for other economic, demographic, social welfare, and health outcomes.
地方的城乡分类通常基于人口和/或人口密度的绝对阈值。然而,城市化和城市性的概念定义包含了不仅仅是人口规模和人口密度的维度。已经描述了许多重要的城市特征,这些特征超越了人口规模。将地方粗略地分类为城市或农村,加上对这些信息的更新不频繁,会导致分类错误。一个改进的城市化衡量标准将从表征城市和农村的领域中提取信息,对时间变化敏感,并代表从农村到城市环境的连续体上的渐变。本研究的目的是从现有数据中开发这样一个尺度,检验该尺度是否可靠和有效,并评估它是否提供了超出传统城乡二分变量所能确定的信息。我们利用心理测量学文献中的既定定标程序,构建并评估了一个多成分的尺度,以衡量中国连续体上的城市特征。我们还通过检查其与成人体重指数(BMI)的关系,提供了其对健康研究潜在贡献的一个例子。由于该尺度是使用既定的定标程序和广泛的变量构建和测试的,因此它代表了对以前此类尺度的改进,并且将为该领域的研究人员提供可靠和有效的测量工具。我们证明该尺度可以预测中国超重/肥胖人群的发病率,但它有望在其他经济、人口、社会福利和健康结果方面最有用。