Waist circumference and abdominal volume index are the strongest anthropometric discriminators of metabolic syndrome in Spanish adolescents
Open accessAbstract
Background: Waist circumference has been suggested as predictor for metabolic syndrome (MetS) in adolescents but it has not been compared with newly proposed anthropometric indexes. This study aimed to disclose the capacity of ten classic and novel anthropometric indexes to discriminate by the presence of MetS in this young population. Materials and methods: A cross‐sectional study was performed on 981 adolescents (13.2 ± 1.2 years) randomly recruited from eighteen schools in south‐east Spain. Body fat percentage (BF%), abdominal volume index (AVI), body roundness index (BRI), body mass index (BMI), body adiposity index (BAI), body adiposity index for paediatrics (BAI p), conicity index (C‐Index), waist circumference (WC), waist‐to‐hip ratio (WHR), waist‐to‐height ratio (WH tR) and body shape index (ABSI) were measured and calculated. Receiver‐operator curves (ROC) were created to determine the discriminatory capacity of these anthropometric parameters for MetS. Results: The prevalence of MetS was 7.0% for boys and 6.1% in girls. Participants with MetS had significantly higher levels of blood pressure and plasma levels of lipids, glucose and insulin. All anthropometric indexes were elevated in MetS individuals compared to the non‐MetS group. AVI and WC showed the highest AUC values (0.83 for boys and 0.86 for girls). In contrast, according to ROC analyses, no anthropometric index was capable of discriminating the components of MetS (hypertension, hypertriglyceridemia, hyperglycaemia and low‐HDL levels), except for abdominal obesity. Conclusion: We suggest the use of WC and AVI, with the cut‐off points presented herein, for the discrimination between adolescents with or without MetS.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Various anthropometric measurements such as BMI, waist-to-height ratio, and waist circumference can help identify types or status of abnormal metabolism.
“Various anthropometric measurements, such as body mass index (BMI), waist-to-height ratio (WHtR), and waist circumference (WC), can help identify types or the status of abnormal metabolism (12–14).”
From The waist-to-height ratio is a good predictor for insulin resistance in women with polycystic ovary syndrome (2024) · cites this paper as [14]
Cites
Matthews, D. R., Hosker, J. P., Rudenski, A. S., Naylor, B. A., Treacher, D. F., & Turner, R. C. (1985) · Diabetologia · doi:10.1007/bf00280883 · Cited by 31,502 · see citing works
Berenson, G. S., Srinivasan, S. R., Bao, W., Newman, W. P., Tracy, R. E., & Wattigney, W. A. (1998) · New England Journal of Medicine · doi:10.1056/nejm199806043382302 · Cited by 4,032 · see citing works
The metabolic syndrome in children and adolescents ? an IDF consensus report
Zimmet, P., Alberti, K. G. M., Kaufman, F., Tajima, N., Silink, M., Arslanian, S., Wong, G., Bennett, P., Shaw, J., Caprio, S., et al. (2007) · Pediatric Diabetes · doi:10.1111/j.1399-5448.2007.00271.x · Cited by 2,013 · see citing works
Metabolic Syndrome, Aging and Involvement of Oxidative Stress
Bonomini, F., Rodella, L. F., & Rezzani, R. (2015) · Aging and Disease · doi:10.14336/ad.2014.0305 · Cited by 599 · see citing works
Behboudi-Gandevani, S., Ramezani Tehrani, F., Cheraghi, L., & Azizi, F. (2016) · European Journal of Obstetrics & Gynecology and Reproductive Biology · doi:10.1016/j.ejogrb.2016.08.011 · Cited by 58 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Zhu, M., Wang, K., Feng, J., Liu, Y., Guan, M., Wang, Y., & Wu, X. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1502321 · Cited by 14 · see citing works
- Authors
- Perona, J. S., Schmidt Rio‐Valle, J., Ramírez‐Vélez, R., Correa‐Rodríguez, M., Fernández‐Aparicio, Á., & González‐Jiménez, E.
- Affiliations
- Consejo Superior de Investigaciones Científicas (ES)
- Department of Nursing University of Granada Granada Spain
- Universidad del Rosario (CO)
- Universidad de Granada (ES)
- ORCID
- Venue
- European Journal of Clinical Investigation
- Publisher
- Wiley
- Published
- 2019-01-29
- Volume
- 49
- Issue
- 3
- Pages
- e13060-e13060
- ISSN
- 0014-2972 (ISSN-L)
- 1365-2362
- OpenAlex
- W2904341958
- Cited by
- 90
- References
- 5
- Citations by year
- 2026: 1 · 2025: 12 · 2024: 27 · 2023: 4 · 2022: 12 · 2021: 20 · 2020: 9 · 2019: 5
- FWCI
- 5.84
- Type
- journal article
- Language
- en
- Open access
- Licence
- Locations
- European Journal of Clinical Investigation (publishedVersion)
- PubMed (publishedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, other-oa)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion)
- Funders
- Ministerio de Economía y Competitividad (AGL2011‐23810)
- Topics
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Keywords
- metabolic syndrome, adolescents, waist circumference, abdominal volume index, anthropometric indices, abdominal obesity, body adiposity index, body roundness index, body shape index, waist-to-height ratio, waist-to-hip ratio, conicity index, diagnostic thresholds, hypertension, hypertriglyceridemia, hyperglycemia, low HDL cholesterol
- MeSH terms
- Abdomen, Adolescent, Anthropometry, Cross-Sectional Studies, Female, Humans, Male, Spain, Area Under Curve, Metabolic Syndrome, Early Diagnosis, Adiposity, Waist Circumference
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review