ECTRIMS eLearning

Energy expenditure in inactive adults with multiple sclerosis - social cognitive theory and symptom correlates
Author(s): ,
M.K Uszynski
Affiliations:
Clinical Therapies
,
B Casey
Affiliations:
Clinical Therapies
,
S Hayes
Affiliations:
Clinical Therapies
,
S Gallagher
Affiliations:
Department of Psychology, Centre for Social Issues Research, University of Limerick, Limerick, Ireland
,
R.W Motl
Affiliations:
Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana-Champaign, IL, United States
S Coote
Affiliations:
Clinical Therapies
ECTRIMS Learn. Coote S. 09/14/16; 145681; EP1586
Dr. Susan Coote
Dr. Susan Coote
Contributions Biography
Abstract

Abstract: EP1586

Type: ePoster

Abstract Category: RIMS - Exercise

Background: There is significant evidence that people with Multiple Sclerosis (pwMS) are less physically active than their healthy counterparts. Multiple Sclerosis (MS) symptoms and consequences may influence the low physical activity levels of pwMS. Additionally, Social Cognitive Theory (SCT) variables may also act as modifiable correlates of physical activity (PA) in MS.

Objective: The aim of this study was to examine associations between MS symptoms and consequences, SCT constructs and objectively measured Energy Expenditure (EE) as a proxy of physical activity in an inactive sample of pwMS.

Methods: Cross-sectional analysis of baseline data from an RCT. Participants were community-dwelling inactive adults (n=65) with a diagnosis of MS scoring 0 - 3 on the Patient Determined Disease Steps. They had not experienced a relapse or change in their medications in the last 12 weeks. Variables included: 5 times sit to stand; Symbol Digit Modalities Test; Hospital Anxiety and Depression Scale; Modified Canadian Aerobic fitness test; six minute walk test; Timed up and go test (TUG); Timed up and go cognitive; MS walking scale 12; MS Impact scale 29; Modified Fatigue Impact scale. SCT constructs included: Social Provision Scale, Exercise self-efficacy scale (EXESE), Multidimensional Outcomes Expectations for exercise scale, Exercise Goal setting, Exercise planning, and Exercise barrier and benefits questionnaires. PA was estimated as mean daily EE from the SenseWear Arm band accelerometer.

Results: Spearman"s rho correlations indicated that only EXESE and TUG were significantly associated with EE (rho = 0.361, p = 0.005 and rho = -0.268, p = 0.040). The regression model included EXESE and TUG, and explained 11% of the variance in EE (R2 = 0.116, p = 0.033). In this model, only EXESE was significantly associated with EE (EXESE β = 0.292, p = 0.026: TUG β = -0.160, p = 0.212) explaining 9% of the variance (R2 = 0.091). When we controlled for demographic variables the model was non-significant (p = 0.413).

Conclusion: In this inactive sample of people with MS volunteering for an exercise trial, SCT variables, MS symptoms and consequences explained very little of the variance in EE as a proxy of PA. The only significant variable was EXESE which confirms the importance of enhancing EXESE through PA interventions. Although TUG was significantly associated with EE it does not seem to be an important contributor in explaining variance in EE.

Disclosure:

Dr Marcin Uszynski: nothing to disclose.

Dr Sara Hayes: nothing to disclose.

Dr Stephen Gallagher: nothing to disclose.

Prof Robert W. Motl: nothing to disclose.

Blathin Casey: nothing to disclose.

Prof Susan Coote has received payment from Novartis for consultancy and speaking fees and from Biogen Idec for meeting attendance. She is in receipt of grant funding from MS Ireland, the Health Research Board and the Irish Research Council

Abstract: EP1586

Type: ePoster

Abstract Category: RIMS - Exercise

Background: There is significant evidence that people with Multiple Sclerosis (pwMS) are less physically active than their healthy counterparts. Multiple Sclerosis (MS) symptoms and consequences may influence the low physical activity levels of pwMS. Additionally, Social Cognitive Theory (SCT) variables may also act as modifiable correlates of physical activity (PA) in MS.

Objective: The aim of this study was to examine associations between MS symptoms and consequences, SCT constructs and objectively measured Energy Expenditure (EE) as a proxy of physical activity in an inactive sample of pwMS.

Methods: Cross-sectional analysis of baseline data from an RCT. Participants were community-dwelling inactive adults (n=65) with a diagnosis of MS scoring 0 - 3 on the Patient Determined Disease Steps. They had not experienced a relapse or change in their medications in the last 12 weeks. Variables included: 5 times sit to stand; Symbol Digit Modalities Test; Hospital Anxiety and Depression Scale; Modified Canadian Aerobic fitness test; six minute walk test; Timed up and go test (TUG); Timed up and go cognitive; MS walking scale 12; MS Impact scale 29; Modified Fatigue Impact scale. SCT constructs included: Social Provision Scale, Exercise self-efficacy scale (EXESE), Multidimensional Outcomes Expectations for exercise scale, Exercise Goal setting, Exercise planning, and Exercise barrier and benefits questionnaires. PA was estimated as mean daily EE from the SenseWear Arm band accelerometer.

Results: Spearman"s rho correlations indicated that only EXESE and TUG were significantly associated with EE (rho = 0.361, p = 0.005 and rho = -0.268, p = 0.040). The regression model included EXESE and TUG, and explained 11% of the variance in EE (R2 = 0.116, p = 0.033). In this model, only EXESE was significantly associated with EE (EXESE β = 0.292, p = 0.026: TUG β = -0.160, p = 0.212) explaining 9% of the variance (R2 = 0.091). When we controlled for demographic variables the model was non-significant (p = 0.413).

Conclusion: In this inactive sample of people with MS volunteering for an exercise trial, SCT variables, MS symptoms and consequences explained very little of the variance in EE as a proxy of PA. The only significant variable was EXESE which confirms the importance of enhancing EXESE through PA interventions. Although TUG was significantly associated with EE it does not seem to be an important contributor in explaining variance in EE.

Disclosure:

Dr Marcin Uszynski: nothing to disclose.

Dr Sara Hayes: nothing to disclose.

Dr Stephen Gallagher: nothing to disclose.

Prof Robert W. Motl: nothing to disclose.

Blathin Casey: nothing to disclose.

Prof Susan Coote has received payment from Novartis for consultancy and speaking fees and from Biogen Idec for meeting attendance. She is in receipt of grant funding from MS Ireland, the Health Research Board and the Irish Research Council

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