Nutrition and health in Arab adolescents (NaHAR) : study protocol for the determination of ethnic-specific body fat and anthropometric cut-offs to identify metabolic syndrome

Nasreddine, Lara and Bakir, Mohamad Adel and Al-Ati, Tareq and Alzaben, Abeer Salman and Barham, Rawhieh and Bawazeer, Nahla and Fares, Elie-Jacques and Hammad, Kholoud and Kaestel, Pernille and Reilly, John J. and Taktouk, Mandy (2024) Nutrition and health in Arab adolescents (NaHAR) : study protocol for the determination of ethnic-specific body fat and anthropometric cut-offs to identify metabolic syndrome. PLOS One, 19 (2). e0298306. ISSN 1932-6203 (https://doi.org/10.1371/journal.pone.0298306)

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Abstract

The prevalence of adolescent obesity in the Middle-East is considered among the highest in the world. Obesity in adolescents is associated with several cardiometabolic abnormalities, the constellation of which is referred to as the metabolic syndrome (MetS). This multi-country cross-sectional study aims to determine the optimal cut-off values for body fat (BF); body mass index (BMI) z-score; waist circumference (WC) percentile, and mid-upper arm circumference (MUAC) for the prediction of MetS among adolescents from Kingdom of Saudi-Arabia (KSA), Kuwait, Jordan, Lebanon and Syria. A secondary objective is to examine the validity of Bioelectrical Impendence Vector Analysis (BIVA) in estimating BF against the deuterium dilution technique (DDL). In each country, a sample of 210 adolescents will be recruited. Data collection will include demographics, socioeconomic, lifestyle and dietary data using a multi-component questionnaire; anthropometric measurements will be obtained and body composition will be assessed using the DDL and BIVA; blood pressure and biochemical assessment will be performed for the identification of the MetS. Receiver operating characteristic analyses will be undertaken to determine optimal cut-off values of BMI, WC, MUAC and BF in identifying those with MetS. Odds ratios (OR) and their respective 95% confidence interval (CI) for the association of the anthropometric measurements with MetS will be computed based on multiple logistic regression analysis models. The Bland and Altman approach will be adopted to compare BIVA against the reference DDL method for the determination of body composition parameters. This study responds to the need for ethnic-specific anthropometric cut-offs for the identification of excess adiposity and associated cardiometabolic risks in the adolescent population. The adoption of the generated cut-offs may assist policy makers, public health professionals and clinical practitioners in providing ethnic-specific preventive and curative strategies tailored to adolescents in the region.

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