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BMI metrics and their association with adiposity, cardiometabolic risk factors, and biomarkers in children and adolescents.
Bramante, Carolyn T; Palzer, Elise F; Rudser, Kyle D; Ryder, Justin R; Fox, Claudia K; Bomberg, Eric M; Bensignor, Megan O; Gross, Amy C; Sherwood, Nancy E; Kelly, Aaron S.
Afiliación
  • Bramante CT; Center for Pediatric Obesity Medicine, University of Minnesota Medical School, Minneapolis, MN, USA. bramante@umn.edu.
  • Palzer EF; Division of General Internal Medicine, University of Minnesota Medical School, Minneapolis, MN, USA. bramante@umn.edu.
  • Rudser KD; School of Public Health and Biostatistical Design & Analysis Center, University of Minnesota, Minneapolis, MN, USA.
  • Ryder JR; Center for Pediatric Obesity Medicine, University of Minnesota Medical School, Minneapolis, MN, USA.
  • Fox CK; School of Public Health and Biostatistical Design & Analysis Center, University of Minnesota, Minneapolis, MN, USA.
  • Bomberg EM; Center for Pediatric Obesity Medicine, University of Minnesota Medical School, Minneapolis, MN, USA.
  • Bensignor MO; Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN, USA.
  • Gross AC; Center for Pediatric Obesity Medicine, University of Minnesota Medical School, Minneapolis, MN, USA.
  • Sherwood NE; Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN, USA.
  • Kelly AS; Center for Pediatric Obesity Medicine, University of Minnesota Medical School, Minneapolis, MN, USA.
Int J Obes (Lond) ; 46(2): 359-365, 2022 02.
Article en En | MEDLINE | ID: mdl-34718333
ABSTRACT

BACKGROUND:

There are limited data comparing the relative associations of various BMI metrics with adiposity and cardiometabolic risk factors in youth.

OBJECTIVE:

Examine correlations of 7 different BMI metrics with adiposity, cardiometabolic risk factors, and biomarkers (i.e. blood pressure, waist circumference, cholesterol, leptin, insulin, high molecular weight adiponectin, high-sensitivity c-reactive protein (hsCRP)).

METHODS:

This was a cross-sectional analysis of youth in all BMI categories. BMI metrics BMI z-score (BMIz), extended BMIz (ext.BMIz), BMI percentile (BMIp), percent of the BMI 95th percentile (%BMIp95), percent of the BMI median (%BMIp50), triponderal mass index (TMI), and BMI (BMI). Correlations between these BMI metrics and adiposity, visceral adiposity, cardiometabolic risk factors and biomarkers were summarized using Pearson's correlations.

RESULTS:

Data from 371 children and adolescents ages 8-21 years old were included in our

analysis:

52% were female; 20.2% with Class I obesity, 20.5% with Class II, and 14.3% with Class III obesity. BMIp consistently demonstrated lower correlations with adiposity, risk factors, and biomarkers (r = 0.190-0.768) than other BMI metrics. The %BMIp95 and %BMIp50 were marginally more strongly correlated with measures of adiposity as compared to other BMI metrics. The ext.BMIz did not meaningfully outperform BMIz.

CONCLUSION:

Out of all the BMI metrics evaluated, %BMIp95 and %BMIp50 were the most strongly correlated with measures of adiposity. %BMIp95 has the benefit of being used currently to define obesity and severe obesity in both clinical and research settings. BMIp consistently had the lowest correlations. Future research should evaluate the longitudinal stability of various BMI metrics and their relative associations with medium to long-term changes in adiposity and cardiometabolic outcomes in the context of intervention trials.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Índice de Masa Corporal / Adiposidad / Obesidad Infantil / Factores de Riesgo Cardiometabólico Tipo de estudio: Etiology_studies / Observational_studies / Prevalence_studies / Risk_factors_studies Límite: Adolescent / Adult / Child / Female / Humans / Male País/Región como asunto: America do norte Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Índice de Masa Corporal / Adiposidad / Obesidad Infantil / Factores de Riesgo Cardiometabólico Tipo de estudio: Etiology_studies / Observational_studies / Prevalence_studies / Risk_factors_studies Límite: Adolescent / Adult / Child / Female / Humans / Male País/Región como asunto: America do norte Idioma: En Año: 2022 Tipo del documento: Article