title: Physical activity and self-reported cardiovascular comorbidities in persons with multiple sclerosis: evidence from a cross-sectional analysis.
abstract: BACKGROUND
  This study examined the possibility of a linear, inverse association between physical activity and the number of self-reported cardiovascular comorbidities in persons with multiple sclerosis (MS).
  
  
  METHODS
  The sample included 561 persons with MS who completed demographic, cardiovascular comorbidity, disability status, and physical activity self-report assessments, and then wore an accelerometer for 7 days. The data were analyzed using bivariate correlation and multiple linear regression analyses.
  
  
  RESULTS
  Bivariate correlation analysis indicated that there were statistically significant, inverse associations between the number of self-reported cardiovascular comorbidities and objectively measured (r = -0.192, p = 0.0001) and self-reported (r = -0.151, p = 0.0001) physical activity. The first multiple linear regression indicated that objectively measured physical activity was significantly associated with the number of self-reported cardiovascular comorbidities (B = -0.003, SE B = 0.001, β = -0.128), even after controlling for confounding variables. The second multiple linear regression indicated that self-reported physical activity, too, was significantly associated with the number of self-reported cardiovascular comorbidities (B = -0.011, SE B = 0.004, β = -0.114), even after controlling for confounding variables.
  
  
  CONCLUSIONS
  Physical activity was associated with the number of self-reported cardiovascular comorbidities, independent of disability status and other possible confounding variables, in persons with MS.
authors: Department of Kinesiology and Community Health, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA. robmotl@illinois.edu
authors: Robert W
authors: RW
authors: Motl
authors: Bo
authors: B
authors: Fernhall
authors: Edward
authors: E
authors: McAuley
authors: Gary
authors: G
authors: Cutter
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