Waist-to-height ratio may be an alternative tool to the body mass index for identifying Colombian adolescents with cardiometabolic risk factors
ABSTRACT: there is limited information about the usefulness of the waist-to-height ratio (WHtR) to identify Colombian adolescents with cardiometabolic risk factors (CRF). Objective: to compare the utility of WHtR, body mass index (BMI), and waist circumference (WC) to identify adolescents with CRF....
- Autores:
-
Aristizábal Rivera, Juan Carlos
Estrada Restrepo, Alejandro
Barona Acevedo, María Jacqueline
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2019
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/12034
- Acceso en línea:
- http://hdl.handle.net/10495/12034
- Palabra clave:
- Youth
Jóvenes
Obesity
Obesidad
Abdominal obesity
Obesidad abdominal
Anthropometric index
Índice antropométrico
Nutritional screening
Tamizaje nutricional
Cardiovascular risk factors
Factores de riesgo cardiovascular
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by-nc-sa/2.5/co/
| Summary: | ABSTRACT: there is limited information about the usefulness of the waist-to-height ratio (WHtR) to identify Colombian adolescents with cardiometabolic risk factors (CRF). Objective: to compare the utility of WHtR, body mass index (BMI), and waist circumference (WC) to identify adolescents with CRF. Methods: a study with 346 youths (aged 14.0 ± 2.3 years) was performed. Anthropometric measurements were collected and BMI, WC and WHtR were calculated. Fasting blood lipids, glucose and insulin were measured; the homeostasis model assessment of insulin resistance (HOMA-IR) was computed. The presence of multiple non-WC metabolic syndrome (MetS) factors (high HOMA-IR, high triglycerides and low high-density lipoprotein cholesterol [HDL-C]) was analyzed. The area under the curve (AUC) and the odds ratios (OR) were calculated. Results: the BMI, WC and WHtR were comparable at identifying adolescents with high HOMA-IR (AUC = 0.686, 0.694 and 0.641, respectively), low HDL-C (AUC = 0.623, 0.652 and 0.572, respectively) and multiple non-WC MetS factors (AUC = 0.694, 0.715 and 0.688, respectively). The OR of having multiple non-WC MetS factors was similar in overweight adolescents (1.65, 95% CI: 0.86-3.14) and those with WHtR ≥ 0.50 (3.76, 95% CI: 1.95-7.3). There were no OR differences of having multiple non-WC MetS factors among adolescent with obesity (9.88, 95% CI: 3.1-31.7), WC ≥ P90 (18.3, 95% CI: 4.0-83.5) and WHtR ≥ 0.55 (11.0, 95% CI: 3.0-4.4). Conclusions: WHtR, BMI and WC have similar capacities to identify Colombian adolescents with CRF. WHtR showed to be an alternative tool to BMI and WC measurements when screening adolescents for cardiometabolic risk. |
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