The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Understanding community context and adult health changes in China: Development of an urbanicity scale
Open accessAbstract
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 create 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. The scale was developed to predict the incidence of overweight/obesity populations in China, but it promises to be most useful for other economic, demographic, social welfare, and health outcomes.
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Cites
Sample Selection Bias as a Specification Error
Heckman, J. J. (1979) · Econometrica · doi:10.2307/1912352 · Cited by 28,779
Specification Tests in Econometrics
Hausman, J. A. (1978) · Econometrica · doi:10.2307/1913827 · Cited by 18,820
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The expanding burden of cardiometabolic risk in China: the China Health and Nutrition Survey
Yan, S., Li, J., Li, S., Zhang, B., Du, S., Gordon‐Larsen, P., Adair, L., & Popkin, B. (2012) · Obesity Reviews · doi:10.1111/j.1467-789x.2012.01016.x · Cited by 262
Self-citationThe food retail revolution in China and its association with diet and health
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Self-citationZhang, Y., & Hannum, E. (2015) · Chinese Journal of Sociology · doi:10.1177/2057150x14568769 · Cited by 56
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Stern, D., Smith, L. P., Zhang, B., Gordon-Larsen, P., & Popkin, B. M. (2014) · International Journal of Obesity · doi:10.1038/ijo.2014.74 · Cited by 50
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Metadata
- Authors
- Jones-Smith, J. C., & Popkin, B. M.
- Venue
- Social Science & Medicine
- Publisher
- Elsevier BV
- Published
- 2010-10
- Volume
- 71
- Issue
- 8
- Pages
- 1436-1446
- ISSN
- 0277-9536 (ISSN-L)
- OpenAlex
- W2016471217
- Cited by
- 334
- References
- 2
- FWCI
- 10.19
- Type
- journal article
- Language
- en
- Open access
- green
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