Mohsen Hosseini - PhD, Assistant Professor of Biostatistics, Department of Bio-statistics and Epidemiology, Faculty of Health, Isfahan University of Medi-cal Sciences, Isfahan.
Mohammad Amir Amirkhani - MD, Physician, Director, Bureaus of Family, Youths and School Health, Ministry of Health and Medical Education, Tehran.
Marjan Mansourian - PhD, student of Biostatistics, Tarbiat Modares University, Tehran.
Hasan Ziaoddini - MD, Physician, Director, Bureau of Health, Ministry of Education&Training, Tehran.
Gelayol Ardalan - MD, MPH, Pediatrician, Director, Department of Youths and School Health, Ministry of Health and Medical Education, Tehran.
Parinaz Poursafa - MSc, of Environmental Protection Engineering, Science &Research University, Tehran.
Roya Kelishadi - MD, Associate Professor of Pediatrics, Pediatric Preventive Cardiology Department, Isfahan Cardiovascular Research Center, Isfahan University of Medical Sciences, Isfahan.

Abstract    BACKGROUND: Abdominal obesity is a predictor for many cardio-metabolic disorders in different age groups. The use of available information on factors associated with abdominal obesity has been proposed as an effective way of identifying at-risk individuals. To assess the effectiveness of a risk scoring system for abdominal obesity in a large and representative population of youths.    METHODS: Waist-to-height ratio (WHtR) is an effective surrogate measure of abdominal obesity in children. This analysis was performed to find out the normal cut off value for WHtR by calculating the risk score. To develop a risk score to identify high-risk individuals for abdominal obesity, we analyzed data from a national survey, entitled CASPIAN Study, that was conducted on a nationally - representative sample of Iranian students aged ۶-۱۸ years. The risk equation was determined by a multiple logistic regression analysis, and Receiver Operator Characteristics (ROC) analysis was used to determine the cut-off value for the risk equation.    RESULTS: The independent risk factors associated with abdominal obesity were living in rural area, attending public school, positive family history of diabetes and obesity in first and second degree relatives, lower mother’s education level, number of household members; whereas physical activity decreased this risk. The area under curve (AUC) for the ROC was ۶۳% (۹۵% CI: ۰.۶۱۲, ۰.۶۴۳).A CASPIAN study population value>=۳۹ had optimum sensitivity (۶۴%) and specificity (۵۴%) for determining abdominal obesity score.    CONCLUSION: This method can be helpful in screening and prevention of abdominal obesity by identifying those at-risk individuals in a timely manner.      Keywords: Risk Score; abdominal obesity; prediction; children.