title: Sarcopenia and cognitive impairment in elderly women: results from the EPIDOS cohort.
abstract: BACKGROUND
  common pathophysiological pathways are shared between age-related body composition changes and cognitive impairment.
  
  
  OBJECTIVE
  evaluate whether current operative sarcopenia definitions are associated with cognition in community-dwelling older women.
  
  
  METHODS
  cross-sectional analyses.
  
  
  METHODS
  a total of 3,025 women aged 75 years and older.
  
  
  METHODS
  body composition (assessed by dual energy X-ray absorptiometry) and cognition (measured by short portable mental status questionnaire) were obtained in all participants. Multivariate logistic regression models assessed the association of six operative definitions of sarcopenia with cognitive impairment. Gait speed (GS, measured over a 6-meter track at usual pace) and handgrip strength (HG, measured by a hand-held dynamometer) were considered additional factors of interest.
  
  
  RESULTS
  a total of 492 (16.3%) women were cognitively impaired. The prevalence of sarcopenia ranged from 3.3 to 18.8%. No sarcopenia definition was associated with cognitive impairment after controlling for potential confounders. To proof consistency, the analyses were performed using GS and HG, two well-established predictors of cognitive impairment. Low GS [odds ratio (OR) 2.42, 95% confidence interval (CI) 1.72-3.40] and low HG (OR: 1.81, 95% CI: 1.33-2.46) were associated with cognitive impairment.
  
  
  CONCLUSIONS
  no significant association was evidenced between different operative sarcopenia definitions and cognitive impairment. The study suggests that the association between physical performance and cognitive impairment in not mediated by sarcopenia.
authors.affiliation: Gérontopôle de Toulouse, Department of Geriatric Medicine, Toulouse University Hospital, 170, avenue de Casselardit, Toulouse 31059, France. abellan-van-kan-g@chu-toulouse.fr
authors.forename: Gabor
authors.initials: G
authors.lastname: Abellan van Kan
authors.forename: Matteo
authors.initials: M
authors.lastname: Cesari
authors.forename: Sophie
authors.initials: S
authors.lastname: Gillette-Guyonnet
authors.forename: Charlotte
authors.initials: C
authors.lastname: Dupuy
authors.forename: Fati
authors.initials: F
authors.lastname: Nourhashémi
authors.forename: Anne-Marie
authors.initials: AM
authors.lastname: Schott
authors.forename: Olivier
authors.initials: O
authors.lastname: Beauchet
authors.forename: Cédric
authors.initials: C
authors.lastname: Annweiler
authors.forename: Bruno
authors.initials: B
authors.lastname: Vellas
authors.forename: Yves
authors.initials: Y
authors.lastname: Rolland
mesh_terms: D015502:Absorptiometry, Photon; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000523:psychology*; D001823:Body Composition; D016009:Chi-Square Distribution; D003071:Cognition; D003072:Cognition Disorders / Q000453:epidemiology* / Q000523:psychology; D003430:Cross-Sectional Studies; D005260:Female; D005602:France / Q000453:epidemiology; D005684:Gait; D015577:Geriatric Assessment / Q000379:methods; D018737:Hand Strength; D006801:Humans; D057187:Independent Living; D016015:Logistic Models; D015999:Multivariate Analysis; D053581:Muscle Strength Dynamometer; D009483:Neuropsychological Tests; D016017:Odds Ratio; D015995:Prevalence; D012307:Risk Factors; D055948:Sarcopenia / Q000000981:diagnostic imaging / Q000453:epidemiology* / Q000503:physiopathology; D012737:Sex Factors; D011795:Surveys and Questionnaires