Diagnostic Performance and Appropriate Cut-Offs of Different Anthropometric Indicators for Detecting Children with Overweight and Obesity

Author:

Asif Muhammad1ORCID,Aslam Muhammad2,Ullah Kalim3,Qasim Muhammad4,Afzal Khurram5,Abbas Asad5,Ali Manzar6,Younis Muhammad5,Ullah Sami7,Asad Muhammad Hassham Hassan Bin89ORCID,Wyszyńska Justyna10

Affiliation:

1. Department of Statistics, Government Degree College, Qadir Pur Raan, Multan, Punjab, Pakistan

2. Department of Statistics, Bahauddin Zakariya University, Multan, Pakistan

3. Department of Zoology, Kohat University of Science and Technology (KUST), Kohat, Pakistan

4. Department of Economics, Finance and Statistics, Jonkoping University, Sweden

5. Institute of Food Science & Nutrition, Bahauddin Zakariya University, Multan, Pakistan

6. Multan Medical & Dental College, Ibne Siena Hospital & Research Institute, Multan, Pakistan

7. Department of Pharmacy, University of Peshawar, KPK, Pakistan

8. Department of Pharmacy, COMSATS University, Islamabad, Abbotabad Campus, 22060, Pakistan

9. Institute of Fundamental Medicine, Department of Genetics, Kazan Federal University, Kazan, Russia

10. Medical College of Rzeszów University, ul. Kopisto 2a, 35-959 Rzeszów, Poland

Abstract

In the clinical settings, different anthropometric indicators like neck circumference (NC), waist circumference (WC), midupper arm circumference (MUAC), waist-to-height ratio (WHtR), and arm-to-height ratio (AHtR) have been suggested for evaluating overweight and obesity in children. The comparative ability of these indicators in Pakistan is yet unknown. This study is aimed at examining the validity of different anthropometric indicators of overweight and obesity simultaneously and at determining their superlative cut-off values that would correctly detect overweight and obesity in children. For this purpose, the dataset of anthropometric measurements height, weight, WC, MUAC, and NC of 5,964 Pakistani children, aged 5-12 years collected in a cross-sectional multiethnic anthropometric survey (MEAS), was used. Receiver operating characteristic (ROC) curve analysis was performed to assess the validity of different anthropometric indicators. The most sensitive and specific cut-off points, positive and negative predictive values of each indicator were also calculated. The results of the ROC curve indicated that all the studied indicators had a good performance but the indicators AHtR and WHtR had the highest value of the area under the curve (AUC) for the screening of children with overweight and obesity ( AUC > 0.80 ). In the overall sample, AHtR, WHtR, MUAC, WC, and NC cut-off points indicative of overweight, in both boys and girls, were 0.14, 0.46, 18.41 cm, 62.86 cm, and 26.36 cm and 0.14, 0.47, 18.16 cm, 64.39 cm, and 26.54 cm, respectively; the corresponding values for obesity were 0.14, 0.47, 18.67 cm, 62.10 cm, and 26.36 cm and 0.14, 0.48, 20.19 cm, 64.39 cm, and 25.27 cm. We concluded that the sex-specific cut-off points for AHtR, WHtR, MUAC, WC, and NC can be used to diagnose overweight and obesity in Pakistani children.

Publisher

Hindawi Limited

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

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