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Comparison of obesity and metabolic syndrome prevalence using fat mass index, body mass index and percentage body fat.
Wong, Joseph C; O'Neill, Sheila; Beck, Belinda R; Forwood, Mark R; Khoo, Soo Keat.
Afiliación
  • Wong JC; Department of Nuclear Medicine, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia.
  • O'Neill S; School of Clinical Medicine, University of Queensland, Brisbane, Queensland, Australia.
  • Beck BR; Betty Byrne Henderson Women's Health Research Centre, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia.
  • Forwood MR; ANU Medical School, Australian National University, Canberra, Australian Capital Territory, Australia.
  • Khoo SK; School of Allied Health Sciences & Menzies Health Institute Queensland, Griffith University Gold Coast campus, Gold Coast, Queensland, Australia.
PLoS One ; 16(1): e0245436, 2021.
Article en En | MEDLINE | ID: mdl-33444369
ABSTRACT

BACKGROUND:

Accurate obesity classification is important so that appropriate intervention can be instituted to modify metabolic risk factors. Commonly utilized body mass index (BMI) and percentage body fat (PBF) are influenced by lean mass whereas fat mass index (FMI) measures only body fat. This study compares the prevalence of obesity and metabolic risk factors with FMI, BMI and PBF using DXA (dual-energy x-ray absorptiometry).

METHODS:

489 women randomly recruited from the electoral roll were stratified into 4 age groups; 40-49, 50-59, 60-69 and 70-79 years from 2000 to 2001. Clinical data and DXA body composition were obtained. Statistical analyses were performed using Medcalc v15 (Ostend, Belgium) with significance level at p = 0.05 (two-tailed).

RESULTS:

There was higher prevalence of obesity using PBF compared to BMI and FMI (p<0.001). This difference was greater from age 50-59 (p<0.05) which may be explained by age-related lean mass loss. PBF over-classified obesity in over 35% of normal and 95% of overweight categories compared to FMI and BMI. BMI has a sensitivity of 78.9% and specificity of 98.3% for obesity using FMI as the standard. BMI under-classified obesity in the overweight category by 14.9% compared to FMI. There was no difference in diabetes, dyslipidemia, hypertension and metabolic syndrome prevalence within the BMI-obesity and FMI-obesity categories (p>0.05).

CONCLUSION:

PBF classified more obesity than BMI and FMI because of its low pre-determined threshold. The greater difference with PBF compared to BMI and FMI from the 50-59 decade onwards can be attributed to age-related lean mass loss. BMI had the lowest sensitivity for obesity diagnosis. BMI under-classified obesity in the overweight category compared to FMI due to its inability to differentiate lean mass. However, there was no significant difference in the prevalence of metabolic risk factors between BMI and FMI-obesity categories indicating that fat location may influence metabolic dysregulation.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Tejido Adiposo / Síndrome Metabólico / Obesidad Tipo de estudio: Etiology_studies / Observational_studies / Prevalence_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2021 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Tejido Adiposo / Síndrome Metabólico / Obesidad Tipo de estudio: Etiology_studies / Observational_studies / Prevalence_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2021 Tipo del documento: Article País de afiliación: Australia