title: Visceral fat accumulation and metabolic risk factor clustering in older adults.
abstract: OBJECTIVE
  To examine the relationship between visceral fat area (VFA) evaluated using computed tomography (CT) scans and the number of metabolic risk factors in older adults.
  
  
  METHODS
  Cross-sectional study
  
  
  METHODS
  A community clinic in Tokyo, Japan.
  
  
  METHODS
  Two hundred eighteen individuals aged 65 and older without impairments in activities of daily living who underwent geriatric health examination (63 men, mean age 74.5 ± 7.1; 155 women, mean age 75.3 ± 6.7).
  
  
  METHODS
  VFA was obtained from a cross-sectional image at umbilical level in the supine position using CT scanning. Metabolic syndrome components except waist circumference were measured using the criteria of the International Diabetes Federation.
  
  
  RESULTS
  There was a positive correlation between VFA and number of metabolic risk factors in men and women. Multiple regression analysis demonstrated that only VFA was significantly correlated with number of risk factors in men, whereas age and VFA were significantly correlated in women; body mass index was not correlated with number of metabolic risk factors in men or women. Dyslipidemia and high blood glucose were associated with higher VFA, but high blood pressure was not. There was a negative correlation between VFA and serum adiponectin level and a positive correlation between VFA and homeostasis model assessment of insulin resistance.
  
  
  CONCLUSIONS
  Visceral fat accumulation is associated with metabolic risk factor clustering even in the elderly population. These results have clinical implications for the management of obesity in older adults.
authors.affiliation: Department of Geriatric Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
authors.forename: Kazushi
authors.initials: K
authors.lastname: Nomura
authors.forename: Masato
authors.initials: M
authors.lastname: Eto
authors.forename: Taro
authors.initials: T
authors.lastname: Kojima
authors.forename: Sumito
authors.initials: S
authors.lastname: Ogawa
authors.forename: Katsuya
authors.initials: K
authors.lastname: Iijima
authors.forename: Tetsuro
authors.initials: T
authors.lastname: Nakamura
authors.forename: Atsushi
authors.initials: A
authors.lastname: Araki
authors.forename: Masahiro
authors.initials: M
authors.lastname: Akishita
authors.forename: Yasuyoshi
authors.initials: Y
authors.lastname: Ouchi
mesh_terms: D052242:Adiponectin / Q000097:blood; D000368:Aged; D001786:Blood Glucose / Q000378:metabolism; D016000:Cluster Analysis; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D015994:Incidence; D007333:Insulin Resistance; D050152:Intra-Abdominal Fat / Q000000981:diagnostic imaging* / Q000378:metabolism; D007564:Japan / Q000453:epidemiology; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood / Q000453:epidemiology* / Q000209:etiology; D011379:Prognosis; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors; D014057:Tomography, X-Ray Computed
chemical_list: D052242:Adiponectin; D001786:Blood Glucose