Abstract
The present systematic review with meta-analysis sought to estimate the accuracy of different waist-to-height ratio (WHtR) cutoff ranges as risk indicators for cardiometabolic health in different populations of children and adolescents. Systematic searches were undertaken to identify studies in apparently healthy participants aged 3–18 years that conducted receiver operating characteristic curve analysis and reported area under the receiver operating characteristic curves for WHtR with any cardiometabolic biomarker. Forty-one cross-sectional studies were included in the meta-analysis, including 138,561 young individuals (50% girls). Higher area under summary receiver operating characteristic (AUSROC) values were observed in cutoffs between 0.46 and 0.50 (AUSROC = 0.83, 95%CI: 0.80–0.86) and ≥0.51 (AUSROC = 0.87, 95%CI: 0.84–0.90) (p < 0.001 in comparison with cutoffs 0.41 to 0.45), with similar results in both sexes. The AUSROC value increased in the East and Southeast Asian regions using a WHtR cutoff of ≥0.46 (AUSROC = 0.90, 95%CI: 0.87 to 0.92). A cutoff of ≥0.54 was optimal for the Latin American region (AUSROC = 0.96, 95%CI: 0.94–0.97). Our meta-analysis identified optimal cutoff values of WHtR for use in children and adolescents from different regions. Despite the widely accepted WHtR cutoff of 0.50, the present study indicated that a single cutoff value of WHtR may be inappropriate.
| Original language | English |
|---|---|
| Article number | e13375 |
| Journal | Obesity Reviews |
| Volume | 23 |
| Issue number | 2 |
| Number of pages | 10 |
| ISSN | 1467-7881 |
| DOIs | |
| Publication status | Published - Feb 2022 |
Funding
AGH is a Miguel Servet Fellow (Instituto de Salud Carlos III – CP18/0150). RR‐V is funded in part by a Postdoctoral Fellowship Resolution ID 420/2019 of the Universidad Pública de Navarra. Antonio García Hermoso had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Also, Antonio García Hermoso is the responsible for the data analysis.
Keywords
- anthropometric index
- diagnostic test
- metabolic syndrome
- receiver-operating characteristic curve
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