학술논문

Ethnicity, socioeconomic status and the nutritional status of Chinese children and adolescents: Findings from three consecutive national surveys between 2005 and 2014.
Document Type
Article
Source
Pediatric Obesity. Nov2020, Vol. 15 Issue 11, p1-10. 10p.
Subject
*ETHNIC groups
*LEANNESS
*MINORITIES
*MINORITY students
*CHILDHOOD obesity
*SURVEYS
*LOGISTIC regression analysis
*SOCIOECONOMIC factors
*DISEASE prevalence
*CROSS-sectional method
*DESCRIPTIVE statistics
*NUTRITIONAL status
*ODDS ratio
Language
ISSN
2047-6302
Abstract
Summary: Background: Economic development has brought rapid shifts in the food environment of Chinese children and adolescents. Objectives: To assess the changes in childhood nutritional status across ethnic groups and economic status from 2005 to 2014. Methods: 664 094 Chinese Han and 224 151 ethnic minority children and adolescents aged 7 to 18 years were assessed in three national cross‐sectional surveys (2005, 2010 and 2014). Gross domestic product (GDP) per capita of each ethnic group was categorized into four strata of socioeconomic status. To assess ethnic disparities at each time point, we used logistic regression to estimate the prevalence odds ratios (OR) for thinness, overweight and obesity in the 24 ethnic minority groups vs Han Chinese. Results: Children in the two upper economic strata (over about US$4000 GDP per capita) had a high prevalence of overweight and obesity, while those in the two lower economic strata (below US$4000 GDP per capita) had a high prevalence of thinness. From 2005 to 2014, the prevalence of thinness decreased from 18.6% to 13.1% in Han children, and from 20.4% to 17.1% in ethnic minority students. At the same time, the prevalence of overweight and obesity increased from 10.4% to 17.7% in Han children, and from 4.3% to 9.2% in ethnic minority students, respectively. Conclusions: A rapid nutritional transition has occurred from 2005 to 2014 with shifts from thinness to overweight and obesity in both Han and ethnic minority children and adolescents, reflecting local GDP per capita. [ABSTRACT FROM AUTHOR]