Waist Circumference Is an Anthropometric Parameter That Identifies Women with Metabolically Unhealthy Phenotypes

Nutrients. 2018 Apr 4;10(4):447. doi: 10.3390/nu10040447.

Abstract

Metabolically healthy (MH) and metabolically unhealthy (MUH) phenotypes can be present in any subject independently of their body mass index (BMI). However, factors related to the presence of these phenotypes are poorly understood. Therefore, the aim of this cross-sectional study is to describe the prevalence and characteristics associated with the MH and MUH phenotypes in Mexican subjects with different BMI categories. Anthropometric and biochemical parameters were evaluated after 12 h of fasting. HMW (High Molecular Weight) adiponectin and insulin levels were measured by ELISA (enzyme-linked immunosorbent assay). A total of 345 subjects were included, of which, 73.9% were women. The prevalence of the MH phenotype was 69.9%, 46.7%, and 19% in normal weight, overweight, and obesity, respectively. ROC (receiver operating characteristic) curve analysis showed that the waist circumference demonstrated a statistical significance (p < 0.01) in detecting the MUH phenotype in each BMI group only in women. Furthermore, subjects with lower HMW adiponectin levels showed a 2.1 increased risk of presenting the MUH phenotype. In conclusion, in this Mexican population, waist circumference was an anthropometric parameter that identified women with the MUH phenotype in all BMI categories and hypoadiponectinemia was a risk factor for the presence of this phenotype.

Keywords: adiponectin; anthropometric parameters; metabolically healthy phenotype; prevalence.

Publication types

  • Comparative Study

MeSH terms

  • Adiponectin / blood
  • Adult
  • Biomarkers / blood
  • Body Mass Index
  • Cross-Sectional Studies
  • Female
  • Health Status*
  • Humans
  • Insulin / blood
  • Male
  • Mexico / epidemiology
  • Middle Aged
  • Obesity / blood
  • Obesity / diagnosis*
  • Obesity / epidemiology
  • Obesity / physiopathology
  • Phenotype
  • Prevalence
  • Risk Factors
  • Sex Factors
  • Waist Circumference*
  • Young Adult

Substances

  • ADIPOQ protein, human
  • Adiponectin
  • Biomarkers
  • Insulin