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Social cognitive correlates of device-measured and self-reported physical activity in Black and White individuals with multiple sclerosis
Affiliation:1. School of Kinesiology, University of Michigan, Ann Arbor, MI, USA;2. Department of Physical Therapy, The University of Alabama at Birmingham, Birmingham, AL, USA;1. Centre for Disability Research and Policy, Faculty of Health Sciences, University of Sydney, Sydney, NSW, 2141, Australia;2. Centre of Research Excellence in Disability and Health, University of Sydney, Sydney, NSW 2141, Australia;3. Centre for Disability Research, Faculty of Health & Medicine, Lancaster University, Lancaster, LA1 4YW, UK;4. College of Nursing and Health Sciences, Flinders University, SA, 5042, Australia;1. Centre for Disability Research and Policy, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia;2. Centre of Research Excellence in Disability and Health, University of Sydney, Sydney, NSW, 2006, Australia;3. Centre for Disability Research, Faculty of Health & Medicine, Lancaster University, Lancaster, LA1 4YW, UK;1. HAVAE UR20217 (Handicap, Aging, Autonomy, Environment), FEDRHA, University of Limoges, 87042, Limoges, France;2. Department of Physical Medicine and Rehabilitation in the University Hospital Center of Limoges, 87042, Limoges, France;1. Center of Innovation for Complex Chronic Healthcare (CINCCH), Department of Veterans Affairs, Edward Hines Jr. VA Hospital, Hines, IL, USA;2. Department of Physical Medicine and Rehabilitation, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA;3. Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA;4. Midwest Regional SCI Care System (MRSCICS), Shirley Ryan AbilityLab (SRAlab), Chicago, IL, USA;5. Marcella Niehoff School of Nursing, Loyola University Chicago, Maywood, IL, USA;1. Johns Hopkins School of Nursing, 525 N. Wolfe Street, Baltimore, MD, 21205, USA;2. Johns Hopkins Disability Health Research Center, Johns Hopkins University, 525 N. Wolfe Street, Baltimore, MD, 21205, USA;3. WebAIM, Institute for Disability Research, Policy, and Practice, Utah State University, 6807 Old Main Hill, Logan, UT, 84322, USA;4. Johns Hopkins Biostatistics Center, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA;1. ZHAW School of Health Professions, Institute of Occupational Therapy, Katharina-Sulzer-Platz 9, 8400, Winterthur, Switzerland;2. Swiss Paraplegic Research, Guido A. Zäch-Strasse 4, 6207 Nottwil, Switzerland;3. Center of Primary and Community Care, University of Lucerne, Frohburgstrasse 3, 6002, Lucerne, Switzerland;4. ZHAW School of Management and Law, Center for Social Law, Gertrudstrasse 15, 8401, Winterthur, Switzerland;5. Stiftung Behindertentransport Kanton Bern, Schwarztorstr. 32, 3007, Bern, Switzerland;6. Department of Rheumatology and Immunology, Inselspital, Bern University Hospital, And University of Bern, Freiburgstrasse 16p, 3010, Bern, Switzerland
Abstract:BackgroundThere is increasing research interest regarding physical activity behavior among persons with multiple sclerosis (MS), yet there is little known about physical activity and its correlates in Black persons with MS.ObjectiveThis cross-sectional study assessed associations among social cognitive theory (SCT) variables and device-measured and self-reported physical activity in samples of Black and White persons with MS.MethodsParticipants included 67 Black and 141 White persons with MS who wore an ActiGraph accelerometer on a belt around the waist measuring moderate-to-vigorous physical activity (MVPA) for seven days and completed a battery of questionnaires. Questionnaires included demographic and clinical characteristics, leisure-time exercise, exercise self-efficacy, overcoming barriers self-efficacy, function, social support, exercise outcome expectations, and goal setting and planning.ResultsBlack participants with MS engaged in significantly less MVPA, but not sedentary behavior or light physical activity, than the White participants with MS. Black participants further had significantly lower levels of exercise self-efficacy and outcome expectations than the White sample. All SCT correlates were significantly correlated with self-reported physical activity, but only exercise and barriers self-efficacy, perceived function, and exercise goal setting were associated with device-measured MVPA. The difference in physical activity between Black and White participants with MS was accounted for by differences in exercise self-efficacy and outcome expectations.ConclusionsResearchers should consider developing behavioral interventions that target exercise self-efficacy and outcome expectations as SCT variables for increasing physical activity in Black persons with MS.
Keywords:Multiple sclerosis  Physical activity  African continental ancestry group  Black  Rehabilitation  GLTEQ"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0040"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  Godin Leisure-Time Exercise Questionnaire  PA"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0050"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  physical activity  MVPA"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0060"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  moderate-to-vigorous physical activity  LPA"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0070"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  light physical activity  EXSE"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0080"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  Exercise Self-Efficacy Scale  BARSE"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0090"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  Barriers Self-Efficacy Scale  MOEES"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0100"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  Multidimensional Outcome Expectations for Exercise Scale  LL-FDI"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0110"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  Late-Life Function and Disability Scale  SPS"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0120"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  Social Provisions Scale  EGS"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0130"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  Exercise Goal-Setting Scale  EPS"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0140"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  Exercise Planning Scale  SCT"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0150"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  Social Cognitive Theory  MS"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0160"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  multiple sclerosis  MTM"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0170"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  multi-theory model
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