INTRODUCTION: 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.
INTRODUCTION: 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.
Authors: Margot De Spiegeleer; Ellen De Paepe; Lieven Van Meulebroek; Inge Gies; Jean De Schepper; Lynn Vanhaecke Journal: Mol Med Date: 2021-11-06 Impact factor: 6.354
Authors: Alan E Guzmán-León; Ana G Velarde; Milca Vidal-Salas; Lucía G Urquijo-Ruiz; Luz A Caraveo-Gutiérrez; Mauro E Valencia Journal: PLoS One Date: 2019-12-31 Impact factor: 3.240