Accepted Manuscript Exergaming with additional postural demands improves balance and gait in patients with multiple sclerosis as much as conventional balance training and leads to high adherence to home-based balance training Andreas Kramer , Dr. Christian Dettmers , Prof. Markus Gruber , Prof. PII:

S0003-9993(14)00340-2

DOI:

10.1016/j.apmr.2014.04.020

Reference:

YAPMR 55825

To appear in:

ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION

Received Date: 18 February 2014 Revised Date:

10 April 2014

Accepted Date: 21 April 2014

Please cite this article as: Kramer A, Dettmers C, Gruber M, Exergaming with additional postural demands improves balance and gait in patients with multiple sclerosis as much as conventional balance training and leads to high adherence to home-based balance training, ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION (2014), doi: 10.1016/j.apmr.2014.04.020. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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Running head: Exergame balance training with MS patients Title: Exergaming with additional postural demands improves balance and gait in patients with multiple sclerosis as much as conventional balance training and leads to high adherence to home-based balance training

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Authors: Dr. Andreas Kramer1, Prof. Christian Dettmers2, Prof. Markus Gruber1 1 Sensorimotor Performance Lab, Department of Sports Sciences, University of Konstanz, Germany 2 Kliniken Schmieder Konstanz, Germany

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Acknowledgements: The authors want to thank Simon Sailer and Anne Ruchay-Plößl for their help with the patient recruitment, Alexandra Narr, Christine Bächle, Sandra Pfadler and Gregor Eichhorn for their help with the data acquisition and training supervision, Nathan Stern for reviewing and offering advice on the draft of the manuscript and Ulrich Kübler and Peter Kern for their contributions to the study design. Ethical standards and Conflict of interest: The experiments conducted in this study comply with the current German laws and were approved by the local ethics committee. This research was partly supported by EADS Astrium (framework cooperation agreement between the University of Konstanz and EADS Astrium Friedrichshafen). The authors declare that they have no conflict of interests.

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Author for correspondence: Dr. Andreas Kramer FG Sportwissenschaft Universität Konstanz 78457 Konstanz Phone: +49 7531 88 4923 Email: [email protected]

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Clinical trial registration number: DRKS00004520

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Title: Exergaming with additional postural demands improves balance and gait in patients

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with multiple sclerosis as much as conventional balance training and leads to high adherence

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to home-based balance training

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4 Abstract

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Objective: To assess the effectiveness of and the adherence to an exergame balance training

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program with additional postural demands in patients with multiple sclerosis (MS)

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Design: Matched controlled trial, assessment of balance before and after different balance

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training programs and adherence to home-based balance exercise in the six months after the

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training

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Setting: Kliniken Schmieder, a neurorehabilitation facility and center for multiple sclerosis in

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Konstanz, Germany

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Participants: 70 MS patients with balance problems, matched into one of the training groups

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according to age as well as balance and gait performance in four tests. Nine patients dropped

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out due to scheduling problems. Mean age of the 61 remaining participants was 47±9 years,

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EDSS 3±1

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Interventions: Three weeks of either i) conventional balance training (control), ii) exergame

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training (playing exergames on an unstable platform, EG), iii) single-task (ST) exercises on

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the unstable platform

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Main outcome measures: Test scores in balance tests and gait analyses under ST and DT.

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Furthermore, in the six months following the rehabilitation training, frequency and type of

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balance training was assessed through questionnaires.

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Results: All three groups showed significantly improved balance and gait scores. Only the EG

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showed significantly higher improvements in the DT condition of the gait test than in the ST

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condition. Adherence to home-based balance training differed significantly between groups

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(highest adherence in EG).

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Conclusions: Playing exergames on an unstable surface seems to be an effective way to

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improve balance and gait in MS patients, especially in dual task situations. The integration of

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exergames seems to have a positive effect on adherence and is thus potentially beneficial for

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the long-term effectiveness of rehabilitation programs.

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Keywords: balance training, dual task, fall prevention, neurological rehabilitation, Nintendo

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Wii

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Abbreviations: conventional training group (CG), dual task (DT), exergame group (EG),

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multiple sclerosis (MS), Posturomed group (PG), single task (ST)

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Persons with Multiple Sclerosis (MS) have an increased fall and fracture risk compared to the

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fall or fracture risk of age-matched control groups1. Most studies examining the falls of

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persons with MS report fall rates of about 50% over the course of a year 2, 3. These high fall

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rates have been mainly attributed to poor postural control 4, as balance and gait impairments

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can be used to distinguish fallers and non-fallers 5.

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One situation that has been identified to have a particularly high fall risk is multitasking while

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walking

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reduce this high fall risk in multitask situations, it would be reasonable to incorporate balance

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exercises with simultaneous motor or cognitive tasks into balance training programs.

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Surprisingly, there are only few studies that investigated the effects of dual-task (DT) balance

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training 10-12 or compared it to conventional single-task (ST) balance training 13, 14. The results

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, i.e., performing one or more cognitive or motor tasks in addition to walking. To

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of these studies suggest that DT balance training improves balance in DT test situations more

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than ST training 13, 15, while ST balance training shows higher effects in ST situations, but no

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or only small improvements in DT test situations 16. However, to our knowledge no study has

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examined the effects of DT balance training in persons with MS yet.

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Another important aspect that has to be taken into consideration when designing a training

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intervention is adherence. Adherence seems to be closely linked to the enjoyment of the

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training: studies monitoring adherence to training programs found that in addition to factors

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such as personal goals, practical barriers or social support for the program, the reaction to the

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program, i.e., whether the participants enjoyed it or not, was a factor discriminating between

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continuing participants and dropouts

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enjoyment might be the use of exergames, i.e., video games that incorporate some kind of

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physical exercise. The efficacy of exergames (particularly those which incorporate the

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Nintendo Balance Board) as an alternative form of balance training has been examined in

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several studies with positive results. Recent studies reported balance improvements in ST

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tests after several weeks of Wii Fit exergames in healthy older adults

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Parkinson’s Disease

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note that these studies trained and tested only under ST conditions, and some had no control

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group. The studies that assessed enjoyment or adherence in addition to balance usually

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reported high enjoyment and good adherence to the training program for Wii Fit training 21, 26.

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However, when compared to other forms of training, Wii Fit training appears to improve

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balance to a lesser extent

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differences between a Wii Fit training and a control group with no training 30. Therefore, Wii

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Fit training alone seems to be a motivating and enjoyable form of ST balance training, but

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should be combined with other forms of balance training in order to achieve results that are

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comparable to the improvements observed after conventional forms of balance training.

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. One way to achieve high levels of training

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and MS

, patients with

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. However, it is worthy of

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, Acquired Brain Injury

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. In persons with MS, one study even found no significant

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78 The aim of our study was to compare a new kind of balance training that combines exergames

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with additional postural demands to two single-task balance training programs with respect to

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efficacy and adherence in persons with MS. We hypothesized that the new exergame training

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would show higher effects than the other two forms of training, especially in the DT tests and

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the adherence to home-based balance training after the training period.

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84 85 Methods

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Patients: Seventy patients with MS volunteered to participate in this study. Participants were

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recruited from the MS inpatients of the Kliniken Schmieder, a neurorehabilitation facility and

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center for multiple sclerosis in Konstanz, Germany. Nine patients dropped out of the study

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due to scheduling problems caused by the clinic or the experimenters. Of the remaining 61

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participants, 44 were female and 17 male, their mean age (±standard deviation) was 47±9

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years, height 171±8 cm, body mass 72±14 kg and expanded disability status scale (EDSS)

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3±1. Before taking part in the study, all participants gave written informed consent to the

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experimental procedure, which was in accordance with the latest revision of the Declaration

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of Helsinki and approved by the ethics committee of the University of Konstanz. The study

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was registered as a clinical trial in the German Register for Clinical Trials (DRKS00004520).

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Inclusion criteria were an EDSS≤6, no relapse in the past three months and the

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recommendation from the physiotherapists that the patient needed balance training (assessed

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with questionnaires and Romberg and one-leg stance tests). To avoid group differences due to

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randomization, the participants were then matched to one of three training groups: exergame

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training group (EG, 21 participants), Posturomed training group (PG, 20 participants), or

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conventional training group (CG, 20 participants). Group-matching was performed according

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to age as well as balance and gait performance in four tests (one-leg stance on the preferred

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leg, Romberg stance with eyes closed, one-leg stance on the Posturomed and DT gait

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velocity).

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107 Study design and tests: In order to test the effects of the three-week training regimen, all

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subjects were tested before and after the training period. Prior to the tests, all participants

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were familiarized with the various tests and practiced performing them correctly. The tests

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consisted of six static balance tests on a force platea, four balance tests on an unstable surface

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(Posturomedb) and two gait analyses (Optogaitc). For the balance tests, the participants were

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instructed to stand as still as possible for 10 seconds. The six force plate tests included: twice

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Romberg stance (once with eyes open, once with eyes closed) and four times one-leg stance

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(preferred leg, non-preferred leg, preferred leg with eyes closed, preferred leg with the

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additional task of typing a given, random number sequence into a mobile phone). On the

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Posturomed, the participants underwent four tests: they had to stand on both legs without an

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additional task, stand on their preferred leg without an additional task, stand on both legs with

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the additional destabilizing task of performing a Wiid golf pitch with a defined amplitude (that

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each participant had to practice about 20-30 times beforehand) and stand one their preferred

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leg with the additional golf pitch task. The gait analysis consisted of normal walking in a ten-

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meter Optogait corridor and walking while having to answer questions (e.g., “How many

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surfaces does a cube have?”).

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Each test was performed twice. The order of the tests was balanced between participants to

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control for confounding effects such as fatigue.

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Training: All the participants trained over a period of three weeks, with a total of nine

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supervised training sessions lasting 30 minutes each. A training session for the EG consisted 5

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of playing Wii Sports/Sports Resort/Fit games that require arm movements (tennis, table

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tennis, boxing, archery and sword fight) or displacements of the whole body to control the

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game avatar (ski slalom, balance bubble, penguin picnic, soccer heading, tilt city and perfect

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ten). The games that were chosen most often were table tennis, tennis and tilt city. While

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playing these games, the patients stood on an unstable surface (the Posturomed) that swings

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when the patient moves his limbs or is not in balance. So in order to keep their balance while

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playing, they constantly had to make postural adjustments, thus increasing the postural

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demands of the exergame task. If a normal stance on the Posturomed was too easy for the

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patient (i.e., little platform movement), he was instructed to use a more challenging type of

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stance, gradually increasing from “Romberg stance” (feet together) to tandem stance (one foot

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in front of the other) to one-leg stance. The purpose of the PG was to assess whether training

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improvements were due to the combination of the exergame task and the added postural

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demands of the Posturomed in the EG or simply due to the Posturomed training. Therefore,

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the PG also trained on the Posturomed, but performed about five ST balance exercises of a

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pool of 15 exercises with increasing difficulty, ranging from standing on the Posturomed on

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both legs as still as possible to standing on your toes or heels to standing on one leg while

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moving one arm quickly as if hitting a tennis ball. The CG served as a reference to assess the

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efficacy of the new combined exergame training in comparison to a standard balance training

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in rehabilitation. The patients assigned to the CG participated in the conventional balance

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training of the Schmieder rehabilitation clinic, which consisted of various exercises on the

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floor: Romberg stance, tandem stance, standing on the toe or the heel, walking forwards and

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backwards on a line, tandem walk and one-leg stance on an aerobic mat.

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In addition to the balance training, the participants of all three groups underwent the

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rehabilitation program of the clinic, consisting of physiotherapy, occupational therapy, speech

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therapy and neuropsychology according to the individual deficits and rehabilitation aims. 6

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156 Adherence: During the six month after their treatment in the rehabilitation clinic, each

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participant was asked to do weekly prospective reports about the amount and type of balance

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training they performed, with possible answers including: Wii on unstable surface; unstable

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surface; conventional training like in the clinic; other (describe); no home-based training only

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general physiotherapy; none. Additionally, they had to report how many falls they had had

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that week. Note that no training prescription was given to any of the participants. If they did

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not return these training and fall reports, they were contacted at the end of the six month and

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asked about their training type and duration as well as the number of falls. Three out of the 61

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participants could not be contacted and were therefore excluded from the adherence analyses.

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Sixteen out of the 58 included participants regularly returned the weekly reports (EG: 6, PG:

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6, CON: 4), the other 42 were contacted at the end of the six months.

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Data processing: The parameters that were exported for analysis were the accumulated sway

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path during the 10s test intervals (force plate and Posturomed), the gait velocity and the step

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length for each step in the 10m walkway (gait analysis). The results were averaged over the

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two trials performed for each test. Failed trials were not repeated and excluded from data

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analysis. From the fall and training reports, the following data were analyzed: cumulative

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number of falls, predominant type of balance training and average weekly training time. The

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person in charge of the data analysis was blinded with respect to participants’ group affiliation.

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Statistics: Group data are presented as means ± standard deviations (SD). The required

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sample size was estimated to be 66 participants (power of 0.8, alpha error probability of 0.05,

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effect size of 0.2). The effect of the training on the recorded balance and gait parameters was

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evaluated using two-factor analyses of variance, group [3 levels: EG, PG, CG] x time [2

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levels: pre and post]. False discovery rate was controlled according to the Benjamini– 7

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Hochberg–Yekutieli method. To reveal differences between ST and DT improvements, the

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post-training values were normalized to the pre-training values and analyzed using an

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ANOVA, group [3 levels: EG, PG, CG] x task [2 levels: DT, ST]. Significant interaction

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effects were followed up with paired t-tests. The training and fall reports were analyzed with

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the Chi-square test, except for the training time, which was analyzed with the Kruskal-Wallis

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test and Mann-Whitney U post-hoc tests. The analyses were performed with SPSS 19.0 (SPSS,

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Inc., Chicago, IL).

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Most of the statistical tests showed significant improvements in the recorded balance and gait

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parameters, as indicated by the significant main effect of time, see tables 1, 2 and 3. None of

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the balance tests showed a significant group x time interaction effect, i.e., all three groups

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showed similar improvements after the training. However, when comparing the step-to-step

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variability improvements during ST to those during DT (see figure 1), a significant group x

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task interaction was evident (F(2,52)=9.3, p

Exergaming with additional postural demands improves balance and gait in patients with multiple sclerosis as much as conventional balance training and leads to high adherence to home-based balance training.

To assess the effectiveness of and adherence to an exergame balance training program with additional postural demands in patients with multiple sclero...
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