title: Use of the Short Physical Performance Battery Score to predict loss of ability to walk 400 meters: analysis from the InCHIANTI study.
abstract: BACKGROUND
  Early detection of mobility limitations remains an important goal for preventing mobility disability. The purpose of this study was to examine the association between the Short Physical Performance Battery (SPPB) and the loss of ability to walk 400 m, an objectively assessed mobility outcome increasingly used in clinical trials.
  
  
  METHODS
  The study sample consisted of 542 adults from the InCHIANTI study aged 65 and older, who completed the 400 m walk at baseline and had evaluations on the SPPB and 400 m walk at baseline and 3-year follow-up. Multiple logistic regression models were used to determine whether SPPB scores predict the loss of ability to walk 400 m at follow-up among persons able to walk 400 m at baseline.
  
  
  RESULTS
  The 3-year incidence of failing the 400 m walk was 15.5%. After adjusting for age, sex, education, body mass index, Mini-Mental State Examination, number of medical conditions, and 400 m walk gait speed at baseline, SPPB score was significantly associated with loss of ability to walk 400 m after 3 years. Participants with SPPB scores of 10 or lower at baseline had significantly higher odds of mobility disability at follow-up (odds ratio [OR] = 3.38, 95% confidence interval [CI]: 1.32-8.65) compared with those who scored 12, with a graded response across the range of SPPB scores (OR = 26.93, 95% CI: 7.51-96.50; OR = 7.67, 95% CI: 2.26-26.04; OR = 8.28, 95% CI: 3.32-20.67 for SPPB < or = 7, SPPB 8, and SPPB 9, respectively).
  
  
  CONCLUSIONS
  The SPPB strongly predicts loss of ability to walk 400 m. Thus, using the SPPB to identify older persons at high risk of lower body functional limitations seems a valid means of recognizing individuals who would benefit most from preventive interventions.
authors.affiliation: Davis School of Gerontology, University of Southern California, 3715 McClintock Ave., Los Angeles, CA 90089-0191, USA. vasunila@usc.edu
authors.forename: Sarinnapha
authors.initials: S
authors.lastname: Vasunilashorn
authors.forename: Antonia K
authors.initials: AK
authors.lastname: Coppin
authors.forename: Kushang V
authors.initials: KV
authors.lastname: Patel
authors.forename: Fulvio
authors.initials: F
authors.lastname: Lauretani
authors.forename: Luigi
authors.initials: L
authors.lastname: Ferrucci
authors.forename: Stefania
authors.initials: S
authors.lastname: Bandinelli
authors.forename: Jack M
authors.initials: JM
authors.lastname: Guralnik
mesh_terms: D000203:Activities of Daily Living; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000502:physiology; D016001:Confidence Intervals; D004185:Disability Evaluation; D006233:Persons with Disabilities / Q000706:statistics & numerical data; D017079:Exercise Tolerance / Q000502:physiology; D005260:Female; D015577:Geriatric Assessment; D006801:Humans; D007558:Italy; D016015:Logistic Models; D008137:Longitudinal Studies; D008297:Male; D051346:Mobility Limitation; D015999:Multivariate Analysis; D016017:Odds Ratio; D004856:Postural Balance / Q000502:physiology*; D011237:Predictive Value of Tests; D018570:Risk Assessment; D012494:Sampling Studies; D012680:Sensitivity and Specificity; D012737:Sex Factors; D016138:Walking / Q000502:physiology*