Fat mass and vascular health in overweight/obese children

Nutr Metab Cardiovasc Dis. 2021 Apr 9;31(4):1317-1323. doi: 10.1016/j.numecd.2020.12.017. Epub 2021 Jan 5.

Abstract

Background and aim: Childhood obesity is one of the most serious public health challenges of the 21st century. Body mass index (BMI), the most widely used marker of body fatness, has serious limitations, particularly in children, since it does not accurately discriminate between lean and fat mass. Aim of our study was to investigate if the estimate of fat mass, as derived by a new prediction model, was associated with carotid intima media thickness (IMT) and the cross-sectional area of the intima media complex (CSA-IMC) in overweight or obese children.

Methods and results: As many as 375 overweight/obese Italian children, 54.7% males, aged 5-15 years, admitted to a tertiary care hospital, were consecutively enrolled in a study on cardiovascular markers of atherosclerosis. All children underwent an ultrasound carotid examination. Mean weight was 62.2 ± 20.8 Kg and fat-mass was 26.2 ± 10.7 Kg. Multiple regression analyses showed a significant association of fat mass with carotid IMT (β 0.156, p 0.01) and CSA-IMC (β 0.216, p < 0.001); these associations remained significant after controlling for the main cardiovascular risk factors (age, sex, blood pressure, HOMA-index, triglycerides, LDL-cholesterol, HDL-cholesterol, birth weight and high-sensitivity C-reactive protein).

Conclusion: Fat mass calculated with the new formula is independently associated with subclinical atherosclerosis in overweight/obese children.

Keywords: Atherosclerosis; Carotid IMT; Children; Obesity.

MeSH terms

  • Adiposity*
  • Adolescent
  • Age Factors
  • Carotid Artery Diseases / diagnostic imaging*
  • Carotid Artery Diseases / etiology
  • Carotid Intima-Media Thickness*
  • Child
  • Child, Preschool
  • Female
  • Humans
  • Italy
  • Male
  • Models, Biological*
  • Pediatric Obesity / complications
  • Pediatric Obesity / diagnosis*
  • Pediatric Obesity / physiopathology
  • Predictive Value of Tests
  • Prognosis
  • Risk Assessment
  • Risk Factors