title: The relationship between visceral adiposity and cognitive performance in older adults.
abstract: BACKGROUND
  a direct association between visceral adiposity on abdominal computed tomography (CT) and cognitive performance has not been reported.
  
  
  OBJECTIVE
  to investigate the associations between total and regional adiposity measured with abdominal CT, and cognitive performance in elderly persons and to explore their modification by age.
  
  
  METHODS
  cross-sectional study.
  
  
  METHODS
  a health promotion centre of a tertiary university hospital.
  
  
  METHODS
  two-hundred and fifty individuals aged 60 years and above who underwent anthropometric measurements, abdominal CT and cognitive testing.
  
  
  METHODS
  adiposity measures included body mass index (BMI), waist circumference and visceral and subcutaneous adiposity by abdominal CT. Poor cognitive performance was defined as Mini-Mental State Examination score being at or below 1 SD of age, sex and education-normative values.
  
  
  RESULTS
  in multivariate logistic regression analyses obesity [odds ratio (OR) 2.61, 95% confidence interval (CI)=1.21-6.01, P=0.015] and being in the top tertile of the visceral adiposity area (OR: 2.58, 95% CI=1.001-6.62, P=0.045) were associated with poor cognitive performance in subjects younger than 70 years, but not in those 70 years and older.
  
  
  CONCLUSIONS
  high adiposity, particularly visceral adiposity, was associated with poor cognitive functioning in younger elderly persons.
authors.affiliation: Psychiatry,  Seoul National University Hospital Healthcare System Gangnam Center,  Seoul, Korea.
authors.forename: Dae Hyun
authors.initials: DH
authors.lastname: Yoon
authors.forename: Seong Hye
authors.initials: SH
authors.lastname: Choi
authors.forename: Jae Hak
authors.initials: JH
authors.lastname: Yu
authors.forename: Ji Hyun
authors.initials: JH
authors.lastname: Ha
authors.forename: Seung Ho
authors.initials: SH
authors.lastname: Ryu
authors.forename: Doo Heum
authors.initials: DH
authors.lastname: Park
mesh_terms: D050154:Adiposity; D000367:Age Factors; D000368:Aged; D000375:Aging / Q000523:psychology*; D015992:Body Mass Index; D016009:Chi-Square Distribution; D003071:Cognition; D003072:Cognition Disorders / Q000175:diagnosis / Q000209:etiology* / Q000503:physiopathology / Q000523:psychology; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D050152:Intra-Abdominal Fat / Q000000981:diagnostic imaging / Q000503:physiopathology*; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D056128:Obesity, Abdominal / Q000150:complications* / Q000175:diagnosis / Q000503:physiopathology / Q000523:psychology; D016017:Odds Ratio; D011569:Psychiatric Status Rating Scales; D056910:Republic of Korea; D018570:Risk Assessment; D012307:Risk Factors; D050151:Subcutaneous Fat / Q000503:physiopathology; D014057:Tomography, X-Ray Computed; D055105:Waist Circumference