title: Relationship between physical functioning and physical activity in the lifestyle interventions and independence for elders pilot.
abstract: OBJECTIVE
  To determine whether participation in usual moderate-intensity or more-vigorous physical activity (MVPA) is associated with physical function performance and to identify sociodemographic, psychosocial, and disease-related covariates that may also compromise physical function performance.
  
  
  METHODS
  Cross-sectional analysis of baseline variables of a randomized controlled intervention trial.
  
  
  METHODS
  Four academic research centers.
  
  
  METHODS
  Four hundred twenty-four older adults aged 70 to 89 at risk for mobility disability (scoring <10 on the Short Physical Performance Battery (SPPB)) and able to complete the 400-m walk test within 15 minutes.
  
  
  METHODS
  Minutes of MVPA (dichotomized according to above or below 150 min/wk of MVPA) assessed according to the Community Healthy Activities Model Program for Seniors questionnaire, SPPB score, 400-m walk test, sex, body mass index (BMI), depressive symptoms, age, and number of medications.
  
  
  RESULTS
  The SPPB summary score was associated with minutes of MVPA (ρ=0.16, P=.001). In multiple regression analyses, age, minutes of MVPA, number of medications, and depressive symptoms were associated with performance on the composite SPPB (P<.05). There was an association between 400-m walk time and minutes of MVPA (ρ=-0.18; P<.001). In multiple regression analyses, age, sex, minutes of MVPA, BMI, and number of medications were associated with performance on the 400-m walk test (P<.05).
  
  
  CONCLUSIONS
  Minutes of MVPA, sex, BMI, depressive symptoms, age, and number of medications are associated with physical function performance and should all be taken into consideration in the prevention of mobility disability.
authors.affiliation: Nutrition, Exercise Physiology and Sarcopenia Laboratory, Jean Mayer USDA Human Research Center on Aging, Tufts University, Boston, Massachusetts 02111, USA.
authors.forename: Angela
authors.initials: A
authors.lastname: Chalé-Rush
authors.forename: Jack M
authors.initials: JM
authors.lastname: Guralnik
authors.forename: Michael P
authors.initials: MP
authors.lastname: Walkup
authors.forename: Michael E
authors.initials: ME
authors.lastname: Miller
authors.forename: W Jack
authors.initials: WJ
authors.lastname: Rejeski
authors.forename: Jeffrey A
authors.initials: JA
authors.lastname: Katula
authors.forename: Abby C
authors.initials: AC
authors.lastname: King
authors.forename: Nancy W
authors.initials: NW
authors.lastname: Glynn
authors.forename: Todd M
authors.initials: TM
authors.lastname: Manini
authors.forename: Steven N
authors.initials: SN
authors.lastname: Blair
authors.forename: Roger A
authors.initials: RA
authors.lastname: Fielding
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000502:physiology*; D001359:Aviation; D015992:Body Mass Index; D003863:Depression / Q000503:physiopathology / Q000534:rehabilitation*; D004185:Disability Evaluation; D005081:Exercise Therapy / Q000379:methods*; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D008019:Life Style; D008297:Male; D009043:Motor Activity / Q000502:physiology*; D010865:Pilot Projects; D011379:Prognosis; D016138:Walking / Q000502:physiology