↓ Skip to main content

The nutrition-based comprehensive intervention study on childhood obesity in China (NISCOC): a randomised cluster controlled trial

Overview of attention for article published in BMC Public Health, May 2010
Altmetric Badge

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
231 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The nutrition-based comprehensive intervention study on childhood obesity in China (NISCOC): a randomised cluster controlled trial
Published in
BMC Public Health, May 2010
DOI 10.1186/1471-2458-10-229
Pubmed ID
Authors

Yanping Li, Xiaoqi Hu, Qian Zhang, Ailing Liu, Hongyun Fang, Linan Hao, Yifan Duan, Haiquan Xu, Xianwen Shang, Jun Ma, Guifa Xu, Lin Du, Ying Li, Hongwei Guo, Tingyu Li, Guansheng Ma

Abstract

Childhood obesity and its related metabolic and psychological abnormalities are becoming serious health problems in China. Effective, feasible and practical interventions should be developed in order to prevent the childhood obesity and its related early onset of clinical cardiovascular diseases. The objective of this paper is to describe the design of a multi-centred random controlled school-based clinical intervention for childhood obesity in China. The secondary objective is to compare the cost-effectiveness of the comprehensive intervention strategy with two other interventions, one only focuses on nutrition education, the other only focuses on physical activity.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 231 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 <1%
United Kingdom 1 <1%
Mexico 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 225 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 46 20%
Student > Bachelor 26 11%
Researcher 25 11%
Student > Ph. D. Student 22 10%
Student > Doctoral Student 17 7%
Other 40 17%
Unknown 55 24%
Readers by discipline Count As %
Medicine and Dentistry 57 25%
Nursing and Health Professions 25 11%
Social Sciences 22 10%
Psychology 15 6%
Agricultural and Biological Sciences 12 5%
Other 36 16%
Unknown 64 28%