title: Functional measures across neurologic disease states: analysis of factors in common.
abstract: OBJECTIVE
  To describe the underlying dimensions for a range of functional measures across 3 neurologic diseases at different time points.
  
  
  METHODS
  Multiple cohort study.
  
  
  METHODS
  Combination of public hospital wards and community.
  
  
  METHODS
  Patients (N=308) from 3 cohorts: paralytic poliomyelitis (n=38), mean of 25 years previously, assessed once; acute stroke admitted to hospital and followed up for 12 months postdischarge (n=181); and traumatic brain injury (TBI), admitted to hospital and followed up for 12 months postdischarge (n=89).
  
  
  METHODS
  Not applicable.
  
  
  METHODS
  The Barthel Index, FIM instrument, Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36) physical component score (PCS) and mental component score (MCS), Community Integration Questionnaire (CIQ), and the London Handicap Score (LHS). Measures were compared at 2 time points: pre-event status for stroke, TBI and the polio cohort, and 12-month postdischarge status for stroke and TBI.
  
  
  RESULTS
  The different measures generally correlated highly within disease states at each time point. Principal components analysis revealed 2 underlying dimensions, a physical dimension onto which loaded the Barthel Index, FIM, PCS, and LHS and a cognitive/emotional dimension onto which loaded the MCS and, for subjects with polio, the CIQ. These 2 dimensions accounted for 69% of the variance in measures at the pre-event time point and 85% of the variance at the 12-month time point.
  
  
  CONCLUSIONS
  These data suggest 2 basic underlying dimensions across a wide range of measures in 3 different neurologic conditions even at different time points. Most of the variation in the measures can be captured using the 2 component summary scores (PCS, MCS) of the SF-36.
authors.affiliation: Medical Research Institute of New Zealand, Wellington. harry.mcnaughton@mrinz.ac.nz
authors.forename: Harry K
authors.initials: HK
authors.lastname: McNaughton
authors.forename: Mark
authors.initials: M
authors.lastname: Weatherall
authors.forename: Kathryn M
authors.initials: KM
authors.lastname: McPherson
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001930:Brain Injuries / Q000503:physiopathology* / Q000523:psychology*; D015331:Cohort Studies; D005163:Factor Analysis, Statistical; D005260:Female; D006306:Health Surveys; D006801:Humans; D008297:Male; D008875:Middle Aged; D017063:Outcome Assessment, Health Care; D011051:Poliomyelitis / Q000503:physiopathology* / Q000523:psychology*; D025341:Principal Component Analysis; D020521:Stroke / Q000503:physiopathology* / Q000523:psychology*