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Review

Obesity detection rate among primary school students in the People’s Republic of China: a meta-analysis

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Pages 383-390 | Published online: 11 Oct 2013
 

Abstract

Background

Obesity has become a major public health problem worldwide. The prevalence of obesity is rising alarmingly among children and adolescents in the People’s Republic of China, with an estimated 120 million now in the obese range. It is estimated that 8% of children in the People’s Republic of China are obese and 12% are overweight.

Methods

Eligible papers on the prevalence of obesity among primary school students in the People’s Republic of China and published between 2006 and 2011 were retrieved from PubMed and from online Chinese periodicals, ie, the full-text databases of VIP, the Chinese National Knowledge Infrastructure, and Wan Fang. Meta-Analyst software was used to collate and analyze the detection rates cited in the papers retrieved.

Results

After evaluation of the quality of the papers, 25 were finally included, giving a total sample population size for investigation of obesity of 219,763, in which 28,121 cases were detected. Meta-analysis showed that the combined obesity detection rate was 10.4% (95% confidence interval 8.6–12.6) among primary school students in the People’s Republic of China, with a higher detection rate in boys (12.6%) than in girls (7.2%). The prevalence of obesity was higher in the north (11.8%) than in the south (9.5%), east (11.6%), and mid-west (8.0%) regions. Obesity defined according to the World Health Organization weight-for-height standard (14.3%) was higher than that using age-specific and gender-specific cutoff points for body mass index (9.0%).

Conclusion

Our meta-analysis found an obesity prevalence rate of 10.4%, which does not seem as high as previous reports of childhood obesity rates in other countries. However, the prevalence of childhood obesity in the People’s Republic of China is still worrisome, and is likely to rise even further if we fail to take effective and practical measures now.

Acknowledgments

This study was supported by the National High-tech R&D Program of China (2006AA02Z427).

Author contributions

The work presented here was carried out in collaboration between all authors. YJ, LD and YY defined the research theme. YJ and LD designed methods and collected data, analyzed the data and interpreted the results. LH, YC, XS, and HT co-designed the methods and conducted the data analysis, and co-worked on associated data collection and their interpretation. YY co-designed methods, discussed analyses, interpretation, and presentation. All authors were involved in drafting the article or revising it critically for important intellectual content. All authors have approved the manuscript.

Disclosure

The authors report no conflicts of interest in this work.