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Volume 2012 (2012), Article ID 875163, 5 pages
Research Article

Determinants of Childhood Obesity in Representative Sample of Children in North East of Iran

1Endocrinology and Metabolism Research Center, Tehran University of Medical Sciences, Tehran 1411413137, Iran
2Department of Nutrition and Biochemistry, Tehran University of Medical Sciences, Tehran, Iran
3Pediatrics Department, Faculty of Medicine and Child Growth and Development Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
4Department of Epidemiology and Biostatistics, Tehran University of Medical Sciences, Tehran 1411413137, Iran
5Faculty of Paramedical, Qom University of Medical Sciences, Qom, Iran
6Department of Health Education and Promotion, Tehran University of Medical Sciences, Tehran, Iran
7Department of Health Education and Promotion, Golestan University of Medical Sciences, Gorgan, Iran

Received 12 March 2012; Accepted 22 April 2012

Academic Editor: Khosrow Adeli

Copyright © 2012 Fereshteh Baygi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Childhood obesity has become, a global public health problem, and epidemiological studies are important to identify its determinants in different populations. This study aimed to investigate factors associated with obesity in a representative sample of children in Neishabour, Iran. This study was conducted among 1500 randomly selected 6–12-year-old students from urban areas of Neishabour, northeast of Iran. Then, through a case-control study, 114 obese ( percentile of Iranian reference) children were selected as the case group and were compared with 102 controls ( percentile). Factors suggested to be associated with weight status were investigated, for example, parental obesity, child physical activity levels, socio-economic status (SES), and so forth. The analysis was conducted using univariate and multivariate logistic regression (MLR) in SPSS version 16. In univariate logistic regression model, birth weight, birth order, family extension, TV watching, sleep duration, physical activity, parents’ job, parents’ education, parental obesity history, and SES were significantly associated with children’s obesity. After MLR analysis, physical activity and parental obesity history remained statistically significant in the model. Our findings showed that physical activity and parental obesity history are the most important determinants for childhood obesity in our population. This finding should be considered in implementation of preventive interventions.