Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/53443
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dc.contributor.authorJing Daien_US
dc.contributor.authorSongsak Sriboonchittaen_US
dc.contributor.authorCheng Zien_US
dc.contributor.authorYunjuan Yangen_US
dc.date.accessioned2018-09-04T09:49:13Z-
dc.date.available2018-09-04T09:49:13Z-
dc.date.issued2014-01-01en_US
dc.identifier.issn21945357en_US
dc.identifier.other2-s2.0-84897861044en_US
dc.identifier.other10.1007/978-3-319-03395-2_19en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84897861044&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/53443-
dc.description.abstractChina's economy has experienced rapid development in the past 20 years. In 2010, China's GDP was valued at $5.87 trillion, surpassing Japan's $5.47 trillion, and the nation became the world's second largest economy after the USA. People's incomes are also rapidly rising in all parts of the country. However, along with the prosperity seems to have come a malady that is the modern world's woe: obesity. In China, the prevalence of obesity has increased dramatically. Obesity and its related diseases lay a heavy burden on medical expenditure and constrain economic development. Therefore, it is urgent and imperative to identify those influencing factors related to obesity, and take some measures andmake corresponding, appropriate policies to control its prevalence. The objective of this study is to identify the impact factors of obesity from different levels, and to evaluate whether the relationship between urbanization and obesity can be explained by individual socio-demographic, socioeconomic factors and lifestyle habits. Three-level logistic models are used in this paper to evaluate the relationship between each indicator and obesity. © Springer International Publishing Switzerland 2014.en_US
dc.subjectComputer Scienceen_US
dc.subjectEngineeringen_US
dc.titleA study on whether economic development and urbanization of areas are associated with prevalence of obesity in Chinese adults: Findings from 2009 China health and nutrition surveysen_US
dc.typeBook Seriesen_US
article.title.sourcetitleAdvances in Intelligent Systems and Computingen_US
article.volume251en_US
article.stream.affiliationsKunming University of Science and Technologyen_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsYunnan Center of Disease Control and Preventionen_US
Appears in Collections:CMUL: Journal Articles

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