Resumen de Waist-to-height ratio may be an alternative tool to the body mass index for identifying Colombian adolescents with cardiometabolic risk factors

Juan Carlos Aristizabal, Alejandro Estrada Restrepo, Jacqueline Barona Acevedo

• español

  Introducción: hay información limitada sobre la utilidad de la relación cintura-estatura (rCE) para identificar adolescentes colombianos con factores de riesgo cadiometabólicos (FRC).

  Objetivo: comparar la utilidad de la rCE, el índice de masa corporal (IMC) y la circunferencia de cintura (CC) para identifi car adolescentes con FRC.

  Metodología: se evaluaron 346 jóvenes (14,0 ± 2,3 años). Se obtuvieron medidas antropométricas, IMC, CC, rCE, glucosa, insulina y lípidos sanguíneos en ayunas e índice HOMA-IR. Se analizó la presencia de múltiples factores del síndrome metabólico (MetS) diferentes a la CC (HOMA-IR alto, triglicéridos aumentados, concentración del colesterol de alta densidad [HDL-C] baja). Se calculó el área bajo la curva (AUC) y razón de ventajas (OR).

  Resultados: el IMC, CC y rCE fueron similares para identificar adolescentes con alto HOMA-IR (AUC = 0,686, 0,694 y 0,641, respectivamente), bajo HDL-C (AUC = 0,623, 0,652 y 0,572, respectivamente) y múltiples factores del MetS diferentes a la CC (AUC = 0,694, 0,715 y 0,688, respectivamente). La OR de tener esta última condición fue similar en adolescentes con sobrepeso (1,65, IC 95%: 0,60-3,14) y aquellos con rCE ≥ 0,50 (3,76, IC 95%: 1,95-7,3). La presencia de múltiples factores del MetS diferentes a la CC en adolescentes con obesidad (9,88, IC 95%: 3,1-31,7), CC ≥ P90 (18,3, IC 95%: 4,0-83,5) y rCE ≥ 0,55 (11,0, IC 95%: 3,0 a 4,4) fue similar.

  Conclusión: rCE, IMC y CC tienen capacidades similares para identificar adolescentes colombianos con FRC. El rCE demostró ser una herramienta alternativa al IMC y la CC cuando se tamizan adolescentes para identificar la presencia de FRC.

• English

  Background: 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.