Dual-Task Performance in Patients With Multiple Sclerosis
Factors Associated With Dual-Task Performance in Patients With Multiple Sclerosis
Multiple sclerosis (MS) is a chronic inflammatory disease affecting the central nervous system. It is reported that 85% of patients with multiple sclerosis have gait disturbance, 88% balance, and 35-90% fatigue (1, 2, 3). In addition, 65% of patients are reported that their cognitive functions have regressed (4).
It is important to increase the independence of the MS patients in activities of daily living (ADL). Almost all of ADL requires many activities at the same time. For example, toothbrushing involves both the standing balance and the motor activity of the upper limb at the same time. It also requires cognitive tasks such as attention and focusing. Many activities that seem to be the only task are actually multitasking (5).
The aim of this study is to investigate the effects of motor and cognitive additional task on balance, mobility and upper limb performances in MS patients and to determine the factors associated with dual-task performance.
Study Overview
Status
Status
Conditions
Conditions
Detailed Description
Patients with MS between 0-5,5 score according to the Extended Disability Status Scale (EDSS) and healthy individuals of similar age and sex to patients will be included in the study. The balance, mobility, upper extremity performance, cognitive function, fatigue, physical activity level, mood, sleep quality, quality of life will be evaluated once.
We will use descriptive statistics and t-tests to compare demographic characteristics between groups and for the categorical variables chi-square. Effect of the group (MS patients or healthy controls), condition (Single task and dual-task conditions), and group × condition interaction will be compared using two-way repeated measures ANOVA. We will examine the correlations between fatigue severity, physical activity level, mood, sleep quality, quality of life using Pearson bivariate correlations. The significance level is set at p<0,05.
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
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Ankara, Turkey
- Gazi University
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Participants who 18-65 years of age
- MS patients who are ambulatory (Expanded Disability Status Scale score ≤ 5,5 ) in a stable phase of the disease, without relapses in the last 3 month.
Exclusion Criteria:
- Participants who have orthopedic, vision, hearing, or perception problems
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
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Patients with Multiple Sclerosis
MS patients (EDSS: 0-5,5)
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Healthy group
Healthy individuals without chronic disease
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Timed Up and Go Test
Time Frame: ten minutes
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Timed up and go test measures the time taken in seconds to arise from a standard chair, walk 3 m, turn through 180 degrees, walk back, and sit down again. Cognitive additional task (arithmetic): Individuals will be asked to perform tasks by counting backward from 3 to 3 from 100. Cognitive additional task (verbal): Individuals will be asked to fulfill their duties by producing a vegetable-fruit name. |
ten minutes
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Modified Sensory Organization Test
Time Frame: Fifteen minutes
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The Modified Sensory Organization Test, which is performed using computerized posturography, measures postural sway in response to 4 different sensory conditions is measured using a force platform.
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Fifteen minutes
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upper extremity function
Time Frame: ten minutes
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9-Hole Peg Test
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ten minutes
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Sleep Quality: PSQI
Time Frame: 5-10 minutes
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The Pittsburgh Sleep Quality Index (PSQI) assess sleep quality.
It is completed in 5-10 minutes.
It consists of seven subscales: subjective sleep efficiency, sleep latency, sleep duration, sleep quality, sleep disturbance, sleep medication use, and daytime dysfunction due to sleepiness.
Subscales yield a score from 0 to 3 and PSQI total score of >5 is indicative of poor sleep.
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5-10 minutes
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Fatigue Severity
Time Frame: Five minutes
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In the Fatigue Severity Scale (FSS), participants are asked to rate their fatigue level between 1 and 7 in the 9 statements (including motivation, exercise, physical functioning, carrying out duties, and interfering with work, family, or social life) during the last week.
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Five minutes
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Balance Confidence
Time Frame: five minutes
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Activities-specific Balance Confidence (ABC) is a scale in which the patient rates his perceived level of confidence while performing 16 daily living activities.
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five minutes
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Mood
Time Frame: one minute
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Beck's Depression Inventory
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one minute
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Visual attention and task switching
Time Frame: Five minutes
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Trail Making Test
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Five minutes
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selective attention
Time Frame: Five minutes
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stroop test
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Five minutes
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cognitive function
Time Frame: thirty minutes
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The Brief Repeatable Battery of Neuropsychological Tests
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thirty minutes
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Collaborators and Investigators
Sponsor
Sponsor
Publications and helpful links
General Publications
- Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989 May;28(2):193-213. doi: 10.1016/0165-1781(89)90047-4.
- Yelnik A, Bonan I. Clinical tools for assessing balance disorders. Neurophysiol Clin. 2008 Dec;38(6):439-45. doi: 10.1016/j.neucli.2008.09.008. Epub 2008 Oct 18.
- Armutlu K, Korkmaz NC, Keser I, Sumbuloglu V, Akbiyik DI, Guney Z, Karabudak R. The validity and reliability of the Fatigue Severity Scale in Turkish multiple sclerosis patients. Int J Rehabil Res. 2007 Mar;30(1):81-5. doi: 10.1097/MRR.0b013e3280146ec4.
- Armutlu K, Keser I, Korkmaz N, Akbiyik DI, Sumbuloglu V, Guney Z, Karabudak R. Psychometric study of Turkish version of Fatigue Impact Scale in multiple sclerosis patients. J Neurol Sci. 2007 Apr 15;255(1-2):64-8. doi: 10.1016/j.jns.2007.01.073. Epub 2007 Mar 6.
- BECK AT, WARD CH, MENDELSON M, MOCK J, ERBAUGH J. An inventory for measuring depression. Arch Gen Psychiatry. 1961 Jun;4:561-71. doi: 10.1001/archpsyc.1961.01710120031004. No abstract available.
- Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, Oja P. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003 Aug;35(8):1381-95. doi: 10.1249/01.MSS.0000078924.61453.FB.
- Chiaravalloti ND, DeLuca J. Cognitive impairment in multiple sclerosis. Lancet Neurol. 2008 Dec;7(12):1139-51. doi: 10.1016/S1474-4422(08)70259-X.
- Hebert JR, Corboy JR. The association between multiple sclerosis-related fatigue and balance as a function of central sensory integration. Gait Posture. 2013 May;38(1):37-42. doi: 10.1016/j.gaitpost.2012.10.015. Epub 2012 Nov 28.
- Mostert S, Kesselring J. Effects of a short-term exercise training program on aerobic fitness, fatigue, health perception and activity level of subjects with multiple sclerosis. Mult Scler. 2002 Apr;8(2):161-8. doi: 10.1191/1352458502ms779oa.
- Kalron A, Dvir Z, Achiron A. Walking while talking--difficulties incurred during the initial stages of multiple sclerosis disease process. Gait Posture. 2010 Jul;32(3):332-5. doi: 10.1016/j.gaitpost.2010.06.002. Epub 2010 Jul 1.
- Hofheinz M, Mibs M. The Prognostic Validity of the Timed Up and Go Test With a Dual Task for Predicting the Risk of Falls in the Elderly. Gerontol Geriatr Med. 2016 Mar 16;2:2333721416637798. doi: 10.1177/2333721416637798. eCollection 2016 Jan-Dec.
- Oxford Grice K, Vogel KA, Le V, Mitchell A, Muniz S, Vollmer MA. Adult norms for a commercially available Nine Hole Peg Test for finger dexterity. Am J Occup Ther. 2003 Sep-Oct;57(5):570-3. doi: 10.5014/ajot.57.5.570.
- Kaya Y, Aki OE, Can UA, Derle E, Kibaroglu S, Barak A. Validation of Montreal Cognitive Assessment and Discriminant Power of Montreal Cognitive Assessment Subtests in Patients With Mild Cognitive Impairment and Alzheimer Dementia in Turkish Population. J Geriatr Psychiatry Neurol. 2014 Jun;27(2):103-9. doi: 10.1177/0891988714522701. Epub 2014 Feb 26.
- Boringa JB, Lazeron RH, Reuling IE, Ader HJ, Pfennings L, Lindeboom J, de Sonneville LM, Kalkers NF, Polman CH. The brief repeatable battery of neuropsychological tests: normative values allow application in multiple sclerosis clinical practice. Mult Scler. 2001 Aug;7(4):263-7. doi: 10.1177/135245850100700409.
- Benedict RH, Munschauer F, Linn R, Miller C, Murphy E, Foley F, Jacobs L. Screening for multiple sclerosis cognitive impairment using a self-administered 15-item questionnaire. Mult Scler. 2003 Feb;9(1):95-101. doi: 10.1191/1352458503ms861oa.
- Idiman E, Uzunel F, Ozakbas S, Yozbatiran N, Oguz M, Callioglu B, Gokce N, Bahar Z. Cross-cultural adaptation and validation of multiple sclerosis quality of life questionnaire (MSQOL-54) in a Turkish multiple sclerosis sample. J Neurol Sci. 2006 Jan 15;240(1-2):77-80. doi: 10.1016/j.jns.2005.09.009. Epub 2005 Nov 8.
Study record dates
Study Major Dates
Study Start (ACTUAL)
Study Start
Primary Completion (ACTUAL)
Primary Completion
Study Completion (ACTUAL)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ACTUAL)
First Posted
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 230
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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