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Social Cognitive Correlates of Physical Activity in Black Individuals With Multiple Sclerosis

Published:December 28, 2015DOI:https://doi.org/10.1016/j.apmr.2015.12.011

      Abstract

      Objective

      To examine variables from social cognitive theory as correlates of physical activity in black and white individuals with multiple sclerosis (MS).

      Design

      Cross-sectional.

      Setting

      National survey.

      Participants

      Black (n=151) and white (n=185) individuals with MS were recruited through the North American Research Committee on Multiple Sclerosis Registry.

      Intervention

      Not applicable.

      Main Outcome Measures

      The battery of questionnaires included information on demographic and clinical characteristics, physical activity, exercise self-efficacy, function, social support, exercise outcome expectations, and exercise goal setting and planning.

      Results

      Black individuals with MS reported significantly lower levels of physical activity compared with white individuals with MS. Physical activity levels were significantly correlated with self-efficacy, outcome expectations, functional limitations as impediments, and goal setting in black participants with MS. The pattern and magnitude of correlations were comparable with those observed in white participants based on Fisher z tests.

      Conclusions

      Researchers should consider applying behavioral interventions that target social cognitive theory variables for increasing physical activity levels among black individuals with MS.

      Keywords

      List of abbreviations:

      CI (confidence interval), GLTEQ (Godin Leisure-Time Exercise Questionnaire), IPAQ (International Physical Activity Questionnaire), MOESS (Multidimensional Outcomes Expectations for Exercise Scale), MS (multiple sclerosis), NARCOMS (North American Research Committee on Multiple Sclerosis), SCT (social cognitive theory)
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      References

        • National Multiple Sclerosis Society
        Multiple sclerosis information sourcebook.
        Information Resource Center and Library of the National Multiple Sclerosis Society, New York2005
        • Page W.F.
        • Kurtzke J.F.
        • Murphy F.M.
        • Norman Jr., J.E.
        Epidemiology of multiple sclerosis in U.S. veterans: V. Ancestry and the risk of multiple sclerosis.
        Ann Neurol. 1993; 33: 632-639
        • Langer-Gould A.
        • Brara S.M.
        • Beaber B.E.
        • Zhang J.L.
        Incidence of multiple sclerosis in multiple racial and ethnic groups.
        Neurology. 2013; 80: 1734-1739
        • Klineova S.
        • Nicholas J.
        • Walker A.
        Response to disease modifying therapies in African Americans with multiple sclerosis.
        Ethn Dis. 2012; 22: 221-225
        • Kaufman M.D.
        • Johnson S.K.
        • Moyer D.
        • Bivens J.
        • Norton H.J.
        Multiple sclerosis: severity and progression rate in African Americans compared with whites.
        Am J Phys Med Rehabil. 2003; 82: 582-590
        • Marrie R.
        • Horwitz R.
        • Cutter G.
        • Tyry T.
        • Campagnolo D.
        • Vollmer T.
        Comorbidity, socioeconomic status and multiple sclerosis.
        Mult Scler. 2008; 14: 1091-1098
        • Latimer-Cheung A.E.
        • Martin Ginis K.A.
        • Hicks A.L.
        • et al.
        Development of evidence-informed physical activity guidelines for adults with multiple sclerosis.
        Arch Phys Med Rehabil. 2013; 94: 1829-1836.e7
        • Motl R.W.
        • McAuley E.
        • Snook E.M.
        Physical activity and multiple sclerosis: a meta-analysis.
        Mult Scler. 2005; 11: 459-463
        • Klaren R.E.
        • Motl R.W.
        • Dlugonski D.
        • Sandroff B.M.
        • Pilutti L.A.
        Objectively quantified physical activity in persons with multiple sclerosis.
        Arch Phys Med Rehabil. 2013; 94: 2342-2348
        • Wilson-Frederick S.M.
        • Thorpe Jr., R.J.
        • Bell C.N.
        • Bleich S.N.
        • Ford J.G.
        • LaVeist T.A.
        Examination of race disparities in physical inactivity among adults of similar social context.
        Ethn Dis. 2014; 24: 363-369
        • McAuley E.
        • Blissmer B.
        Self-efficacy determinants and consequences of physical activity.
        Exerc Sport Sci Rev. 2000; 28: 85-88
        • Bandura A.
        The anatomy of stages of change.
        Am J Health Promot. 1997; 12: 8-10
        • Suh Y.
        • Weikert M.
        • Dlugonski D.
        • Balantrapu S.
        • Motl R.W.
        Social cognitive variables as correlates of physical activity in persons with multiple sclerosis: findings from a longitudinal, observational study.
        Behav Med. 2011; 37: 87-94
        • Motl R.W.
        Lifestyle physical activity in persons with multiple sclerosis: the new kid on the MS block.
        Mult Scler. 2014; 20: 1025-1029
        • Godin G.
        • Shephard R.G.
        A simple method to assess exercise behavior in the community.
        Can J Appl Sport Sci. 1985; 10: 141-146
        • Craig C.L.
        • Marchall A.L.
        • Sjostrom M.
        • et al.
        International physical activity questionnaire: 12-country reliability and validity.
        Med Sci Sports Exerc. 2003; 35: 1381-1395
        • Gosney J.L.
        • Scott J.A.
        • Snook E.M.
        • Motl R.W.
        Physical activity and multiple sclerosis: validity of self-report and objective measures.
        Fam Community Health. 2007; 3: 144-150
        • Motl R.W.
        • McAuley E.
        • Snook E.M.
        • Scott J.A.
        Validity of physical activity measures in ambulatory individuals with multiple sclerosis.
        Disabil Rehabil. 2006; 28: 1151-1156
        • McAuley E.
        Self-efficacy and the maintenance of exercise participation in older adults.
        J Behav Med. 1993; 16: 103-113
        • McAuley E.
        • Motl R.W.
        • White S.M.
        • Wojcicki T.R.
        Validation of the Multidimensional Outcome Expectations for Exercise Scale in ambulatory, symptom-free persons with multiple sclerosis.
        Arch Phys Med Rehabil. 2009; 91: 100-105
        • Wojcicki T.R.
        • White S.M.
        • McAuley E.
        Assessing outcome expectations in older adults: the Multidimensional Outcome Expectations for Exercise Scale.
        J Gerontol B Psychol Sci Soc Sci. 2009; 64: 33-40
        • Cutrona C.
        • Russell D.
        The provisions of social relationships and adaptation to stress.
        in: Jones J.H. Perlman D. Advances in personal relationships. JAI Pr, Greenwich1987: 37-67
        • McAuley E.
        • Konopack J.F.
        • Motl R.W.
        • Rosengren K.
        • Morris K.S.
        Measuring disability and function in older women: psychometric properties of the Late Life Function and Disability Instrument.
        J Gerontol A Biol Sci Med Sci. 2005; 60: 901-909
        • Rovniak L.S.
        • Anderson E.S.
        • Winett R.A.
        • Stephens R.S.
        Social cognitive determinants of physical activity in young adults: a prospective structural equation analysis.
        Ann Behav Med. 2002; 24: 149-156
        • Fisher R.A.
        On the “probable error” of a coefficient of correlation deduced from a small sample.
        Metron. 1921; 1: 3-32
        • Lee I.M.
        • Shiroma E.J.
        • Lobelo F.
        • et al.
        Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy.
        Lancet. 2012; 380: 219-229
        • Pilutti L.A.
        • Dlugonski D.
        • Sandroff B.M.
        • Klaren R.
        • Motl R.W.
        Randomized controlled trial of a behavioral intervention targeting symptoms and physical activity in multiple sclerosis.
        Mult Scler. 2014; 20: 594-601