Correlations between markers of abdominal fat obtained by DXA and anthropometric conventional techniques in postmenopausal women with metabolic syndrome


Abstract:

The current study was conducted to identify potential correlations between abdominal fat mass obtained by DXA and several parameters obtained by anthropometric conventional techniques as well as lipid profile in postmenopausal women with MS. This historical cohort study included a total of 1326 postmenopausal women aged > 45 years old who had routinely undergone DXA to measure their bone mineral density between January 2006 and January 2011. The regions of interest envisaged in our study by using DXA were the lumbar regions L1-L4 and L4-L5. At the same time, they underwent a complete medical examination including personal medical history assessment, biochemical blood analysis, blood pressure measurements and anthropometrical evaluation. Metabolic syndrome was diagnosed attending to the criteria established by National Cholesterol Education Program Adult Treatment Panel III (NECP-ATP-III). This protocol was approved by an Institutional Ethics Committee. Several significant correlations were found between DXA and indices of body fat distribution as well as lipid profile. The strongest correlations were found between fat mass L1-L4 and waist circumference (r= 0.77; p= 0.0016) and levels of HDL-cholesterol (r= -0.58; p= 0.0290). It was concluded that waist circumference and HDLcholesterol may be recommended to predict fat mass in regions of interest L1-L4 and L3-L4 in postmenopausal women with MS.

Año de publicación:

2013

Keywords:

  • Absorptiometry
  • Postmenopausal
  • abdominal obesity
  • Metabolic syndrome

Fuente:

scopusscopus

Tipo de documento:

Article

Estado:

Acceso abierto

Áreas de conocimiento:

  • Obesidad

Áreas temáticas de Dewey:

  • Fisiología humana
  • Salud y seguridad personal
  • Enfermedades
Procesado con IAProcesado con IA

Objetivos de Desarrollo Sostenible:

  • ODS 3: Salud y bienestar
  • ODS 17: Alianzas para lograr los objetivos
  • ODS 2: Hambre cero
Procesado con IAProcesado con IA