Isfahan University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! By
Utility of Waist-To-Height Ratio, Waist Circumference and Body Mass Index in Predicting Clustered Cardiometabolic Risk Factors and Subclinical Vascular Phenotypes in Children and Adolescents: A Pooled Analysis of Individual Data From 14 Countries Publisher Pubmed



Zong X1, 2 ; Kelishadi R3 ; Kim HS4 ; Schwandt P5 ; Matsha TE6 ; Mill JG7 ; Whincup PH8 ; Pacifico L9 ; Lopezbermejo A10, 11, 12 ; Caserta CA13 ; Medeiros CCM14 ; Yan WL15 ; Kollias A16 ; Skidmore P17 Show All Authors
Authors
  1. Zong X1, 2
  2. Kelishadi R3
  3. Kim HS4
  4. Schwandt P5
  5. Matsha TE6
  6. Mill JG7
  7. Whincup PH8
  8. Pacifico L9
  9. Lopezbermejo A10, 11, 12
  10. Caserta CA13
  11. Medeiros CCM14
  12. Yan WL15
  13. Kollias A16
  14. Skidmore P17
  15. Correiacosta L18, 19, 20
  16. Khadilkar A21
  17. Jazi FS22
  18. Gong Z23
  19. Zhang C24
  20. Magnussen CG25, 26, 27
  21. Zhao M28
  22. Xi B1

Source: Diabetes and Metabolic Syndrome: Clinical Research and Reviews Published:2024


Abstract

Aims: The clinical utility of waist-to-height ratio (WHtR) in predicting cardiometabolic risk factors (CMRFs) and subclinical markers of cardiovascular disease remains controversial. We aimed to compare the utility of WHtR with waist circumference (WC) and body mass index (BMI) in identifying children and adolescents (youths) at risk for cardiometabolic outcomes, including clustered CMRFs, high carotid intima-media thickness (cIMT), and arterial stiffness (assessed as high pulse wave velocity, PWV). Methods: We analyzed data from 34,224 youths (51.0 % boys, aged 6–18 years) with CMRFs, 5004 (49.5 % boys, aged 6–18 years) with cIMT measurement, and 3100 (56.4 % boys, aged 6–17 years) with PWV measurement from 20 pediatric samples across 14 countries. Results: WHtR, WC, and BMI z-scores had similar performance in discriminating youths with ≥3 CMRFs, with the area under the curve (AUC) (95 % confidence interval, CI)) ranging from 0.77 (0.75–0.78) to 0.78 (0.76–0.80) using the modified National Cholesterol Education Program (NCEP) definition, and from 0.77 (0.74–0.79) to 0.77 (0.74–0.80) using the International Diabetes Federation (IDF) definition. Similarly, all three measures showed similar performance in discriminating youths with subclinical vascular outcomes, with AUC (95 % CI) ranging from 0.67 (0.64–0.71) to 0.70 (0.66–0.73) for high cIMT (≥P95 values) and from 0.60 (0.58–0.66) to 0.62 (0.58–0.66) for high PWV (≥P95 values). Conclusions: Our findings suggest that WHtR, WC, and BMI are equally effective in identifying at-risk youths across diverse pediatric populations worldwide. Given its simplicity and ease of use, WHtR could be a preferable option for quickly screening youths with increased cardiometabolic risk in clinical settings. © 2024
Other Related Docs
19. Obesity and Metabolic Syndrome Among a Representative Sample of Iranian Adolescents, Southeast Asian Journal of Tropical Medicine and Public Health (2012)