- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05846633
Effectiveness of C-Mill Treadmill Training Versus Conventional Treadmill on Balance and Psychological Status in Elderly
Effectiveness of C-Mill Treadmill Training Versus Conventional Treadmill on Balance and Psychological Status in Elderly Population: A Randomized Clinical Trial
Study Overview
Status
Intervention / Treatment
Detailed Description
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- elderly male & female (60-75 years old) subjects will participate in this study. Based on a confirmed written medical report and signed by their physicians. They should be with controlled and stable medical condition, neither Vit-D deficient nor thyroid affected. Participants should have an acceptable level of cognitive function (score 25 or more on Mini-Mental State Examination, score 40 or less on Berg Balance Scale (BBSand score more than 5 on Geriatric Depression Scale (GDS).
All participants should not receive other training to improve their balance and gait other than the protocol of this study.
Exclusion Criteria:
Participants will be excluded if they have one of the following conditions:
- Medically unstable
- Fxed lower limb bony deformities
- Muscle paralysis,
- Cerebellar impairment,
- Visual problems,
- Vestibular problems,
- Cognitive reduction, any condition may lead to problematic exercises
- Using vertigo or anti-seizures medications,
- Score more than 40 on Berg Balance Scale (BBS)
- Score less than 5 on Geriatric Depression Scale (GDS).
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: VR treadmill
The intervention of this study will be C-Mill virtual reality treadmill (Motekforce Link, Amsterdam/Culemborg, The Netherlands). Sixteen participants will be included in the c-mill treadmill program for 50 minutes per session / two sessions per week, over six successive weeks (a total of 12 sessions). Every participant will be trained for (50 minutes) as follows: warming up by walking on the treadmill with a comfortable walking speed upon individual's capability for 5 minutes. The speed should be determined for each one. Then participants continue training on the treadmill for 20 minutes. Visually guided stepping exercises will be applied. Participants should get a (5-min break) and then resume training on the treadmill for 25 minutes. Obstacle avoidance exercises and Walking area practice will be applied. |
C Mell treadmill provides Virtual Reality environment for rehabilitation with obstacles and motivational assistance
|
Active Comparator: Conventional group
Like group I, each participant will be trained on a conventional treadmill for (50 minutes) as follows: warming up by walking on the treadmill belt with a comfortable walking speed suitable for each participant for 5 minutes.
The speed should be determined Then participants continue training on the treadmill for 20 minutes; no VR will be used or applied.
Participants should get a 5-min break and then resume training on the treadmill again for 25 minutes.
|
C Mell treadmill provides Virtual Reality environment for rehabilitation with obstacles and motivational assistance
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Biodex Balance System (BBS; Biodex Inc., Shirley, NY)
Time Frame: 6 Weeks
|
It will be utilized as a reliable and valid device for measuring balance stability during standing in both static and dynamic situations (Cachupe et al.,2001 and Chen et al., 2014).
Two balance tests will be performed: Limit of Stability (LOS) and Fall risk test.
Both tests challenge the ability of participants to control and maintain balance by maintaining their center of gravity within their base of support.
The Biodex system has both a static and dynamic mode with 12 levels of platform tilt (greatest stability level = level 12; least stability level = level 1).
The static mode and dynamic level (11) of platform tilt will be e selected in this study to perform PST and LOS tests.
|
6 Weeks
|
Berg Balance Scale
Time Frame: 6 weeks
|
a 14-item list; each will be scored ranging from (0-4); 0 is the lowest and 4 is the highest function (0 -20 = high fall risk, 21-40 = medium fall risk and 41-56 = low fall risk).
This tool is valid and reliable
|
6 weeks
|
The Timed Up and Go Test (TUG)
Time Frame: 6 weeks
|
It will be used to assess the following parameters in older adults: fall risk, walking ability, balance, and mobility.
Participants while wearing regular footwear will start from sitting position by standing up upon therapist's command; walk forward for 3 meters, turn around, walk back to the chair and sit down when timing should stop.
Any assistive devices should be noted.
It is a reliable, valid, and sensitive test that is a specific measure of the probability for falls among elderly.
|
6 weeks
|
The six-minute walk test (6MWT)
Time Frame: 6 Weeks
|
It will assess the distance that the participant's walking capacity for a total of six minutes on a hard, uneven surface.
The 6MWT was originally developed in frail elderly patients aged 60-90 years referred to a geriatric hospital.
It has been used to determine exercise tolerance changes following interventions for healthy older adults
|
6 Weeks
|
The Beck Depression Inventory (BDI)
Time Frame: 6 Weeks
|
It is a 21-items and self-report form used to assess the presence and severity of symptoms of depression in adults (13-80 years old).
Questions should be answered upon participant's feeling during last 2 weeks.
The BDI takes approximately 10 minutes to complete.
The higher the Beck score the higher the feelings of depression; (1-10) These ups and downs are considered normal, (11-16) mild mood disturbance (17-20) borderline clinical depression (21-30) moderate depression (31-40) severe depression above 40 reflects extreme depression.
This tool is reliable and has been validated and standardized on geriatric population with relatively less somatic-related items
|
6 Weeks
|
Geriatric Depression Scale - 15 (short form) (GDS-15)
Time Frame: 6 Weeks
|
It is a 15-items, and self-report form.
All are YES/NO question, each is worth one point and should be answered based on participant's feeling over last week.
10 items indicate presence of depression if answered positively, while the other 5 indicate depression if answered negatively.
This form can be completed in approximately 5 to 7 minutes.
This tool has been validated and has a high correlation with depressive symptoms and differentiates between depressed from non-depressed patients.
It is valid and reliable scale in geriatrics with a cut-off score of 6 on GDS-15 has 94% sensitivity and 85% specificity in community dwelling older adults, while a cut-off score of 5 has 72% sensitivity and 78% specificity in home care patients
|
6 Weeks
|
Depression in Old Age Scale (DIA-S
Time Frame: 6 Weeks
|
is a self-report instrument consists of ten (Yes/No) short statements that focus on emotional, motivational, and cognitive symptoms of .
It has a higher specificity and internal consistency (Heidenblut & Zank, 2010).
This tool is recommended for research and clinical practice (Heidenblut & Zank, 2020).
Score ranges from (0-10); where (0 = no depressive symptoms) and (10 = maximal depressive symptoms); where 4 is an indicative for a depressive disorder.
|
6 Weeks
|
Depression Anxiety Stress Scale-21 (DASS-21) Arabic version
Time Frame: 6 Weeks
|
is a self-report instrument that consists of three domains; each domain has seven items.
Using a four-point Likert scale (0-3), it assesses the negative emotional symptoms.
3 indicates higher severity of negative symptoms.
The three domains are: Depression scale, Anxiety scale, and Stress scale.
This tool is valid and has excellent reliability.
|
6 Weeks
|
Collaborators and Investigators
Publications and helpful links
General Publications
- Yesavage JA, Brink TL, Rose TL, Lum O, Huang V, Adey M, Leirer VO. Development and validation of a geriatric depression screening scale: a preliminary report. J Psychiatr Res. 1982-1983;17(1):37-49. doi: 10.1016/0022-3956(82)90033-4.
- Berg KO, Wood-Dauphinee SL, Williams JI, Maki B. Measuring balance in the elderly: validation of an instrument. Can J Public Health. 1992 Jul-Aug;83 Suppl 2:S7-11.
- Harada ND, Chiu V, Stewart AL. Mobility-related function in older adults: assessment with a 6-minute walk test. Arch Phys Med Rehabil. 1999 Jul;80(7):837-41. doi: 10.1016/s0003-9993(99)90236-8.
- Blazer DG. Depression in late life: review and commentary. J Gerontol A Biol Sci Med Sci. 2003 Mar;58(3):249-65. doi: 10.1093/gerona/58.3.m249.
- Crosbie JH, Lennon S, Basford JR, McDonough SM. Virtual reality in stroke rehabilitation: still more virtual than real. Disabil Rehabil. 2007 Jul 30;29(14):1139-46; discussion 1147-52. doi: 10.1080/09638280600960909.
- Dockx K, Bekkers EM, Van den Bergh V, Ginis P, Rochester L, Hausdorff JM, Mirelman A, Nieuwboer A. Virtual reality for rehabilitation in Parkinson's disease. Cochrane Database Syst Rev. 2016 Dec 21;12(12):CD010760. doi: 10.1002/14651858.CD010760.pub2.
- Cakit BD, Saracoglu M, Genc H, Erdem HR, Inan L. The effects of incremental speed-dependent treadmill training on postural instability and fear of falling in Parkinson's disease. Clin Rehabil. 2007 Aug;21(8):698-705. doi: 10.1177/0269215507077269.
- Beck, A. T., Steer, R. A., & Carbin, M. G. (1988). Psychometric properties of the Beck Depression Inventory: Twenty-five years of evaluation. Clinical psychology review, 8(1), 77-100.
- Alabdullgader A, Rabbani U. Prevalence and Risk Factors of Falls Among the Elderly in Unaizah City, Saudi Arabia. Sultan Qaboos Univ Med J. 2021 Feb;21(1):e86-e93. doi: 10.18295/squmj.2021.21.01.012. Epub 2021 Mar 15.
- Alghnam S, Alsayyari AS, Towhari JA, Alsayer RM, Almohaimeed MY, Aldebasi MH, Albabtin IT. Epidemiological characteristics of fall injuries and their related outcome in Riyadh, Saudi Arabia: A descriptive study from a Level-I trauma center. J Family Community Med. 2020 May-Aug;27(2):114-119. doi: 10.4103/jfcm.JFCM_245_19. Epub 2020 Jun 3.
- Ali AM, Ahmed A, Sharaf A, Kawakami N, Abdeldayem SM, Green J. The Arabic Version of The Depression Anxiety Stress Scale-21: Cumulative scaling and discriminant-validation testing. Asian J Psychiatr. 2017 Dec;30:56-58. doi: 10.1016/j.ajp.2017.07.018. Epub 2017 Jul 18.
- Almegbel FY, Alotaibi IM, Alhusain FA, Masuadi EM, Al Sulami SL, Aloushan AF, Almuqbil BI. Period prevalence, risk factors and consequent injuries of falling among the Saudi elderly living in Riyadh, Saudi Arabia: a cross-sectional study. BMJ Open. 2018 Jan 10;8(1):e019063. doi: 10.1136/bmjopen-2017-019063.
- Alshammari SA, Alhassan AM, Aldawsari MA, Bazuhair FO, Alotaibi FK, Aldakhil AA, Abdulfattah FW. Falls among elderly and its relation with their health problems and surrounding environmental factors in Riyadh. J Family Community Med. 2018 Jan-Apr;25(1):29-34. doi: 10.4103/jfcm.JFCM_48_17.
- Ashworth NL, Chad KE, Harrison EL, Reeder BA, Marshall SC. Home versus center based physical activity programs in older adults. Cochrane Database Syst Rev. 2005 Jan 25;2005(1):CD004017. doi: 10.1002/14651858.CD004017.pub2.
- Berger-Vachon, C. (2006). Virtual reality and disability. Technology and Disability, 18(4), 163-165.
- Berry, B. D. (2013). Effects of upper body resistance while treadmill walking in older adults (Doctoral dissertation, Wichita State University).
- Britton A, Shipley M, Singh-Manoux A, Marmot MG. Successful aging: the contribution of early-life and midlife risk factors. J Am Geriatr Soc. 2008 Jun;56(6):1098-105. doi: 10.1111/j.1532-5415.2008.01740.x. Epub 2008 May 12.
- Burns ER, Stevens JA, Lee R. The direct costs of fatal and non-fatal falls among older adults - United States. J Safety Res. 2016 Sep;58:99-103. doi: 10.1016/j.jsr.2016.05.001. Epub 2016 May 28.
- Cabeza, R., Nyberg, L., & Park, D. C. (Eds.). (2016). Cognitive neuroscience of aging: Linking cognitive and cerebral aging. Oxford University Press.
- Cachupe, W. J., Shifflett, B., Kahanov, L., & Wughalter, E. H. (2001). Reliability of biodex balance system measures. Measurement in physical education and exercise science, 5(2), 97-108.
- Cesari M, Landi F, Torre S, Onder G, Lattanzio F, Bernabei R. Prevalence and risk factors for falls in an older community-dwelling population. J Gerontol A Biol Sci Med Sci. 2002 Nov;57(11):M722-6. doi: 10.1093/gerona/57.11.m722.
- Chen CH, Lin SF, Yu WH, Lin JH, Chen HL, Hsieh CL. Comparison of the test-retest reliability of the balance computerized adaptive test and a computerized posturography instrument in patients with stroke. Arch Phys Med Rehabil. 2014 Aug;95(8):1477-83. doi: 10.1016/j.apmr.2014.03.005. Epub 2014 Mar 21.
- Cho GH, Hwangbo G, Shin HS. The Effects of Virtual Reality-based Balance Training on Balance of the Elderly. J Phys Ther Sci. 2014 Apr;26(4):615-7. doi: 10.1589/jpts.26.615. Epub 2014 Apr 23.
- Cobb, S., Brooks, T., Sharkey, P. M., & Merrick, J. (2006). Virtual reality and disability [Editorial]. International Journal on Disability and Human Development, 5(2), 95-96. https://doi.org/10.1515/IJDHD.2006.5.2.95
- Cuijpers P, van Straten A, Smit F. Psychological treatment of late-life depression: a meta-analysis of randomized controlled trials. Int J Geriatr Psychiatry. 2006 Dec;21(12):1139-49. doi: 10.1002/gps.1620.
- de Rooij, I. J., van de Port, I. G., & Meijer, J. W. G. (2017). Feasibility and effectiveness of virtual reality training on balance and gait recovery early after stroke: a pilot study. Walking in relation to participation after stroke, 129.
- Deandrea S, Lucenteforte E, Bravi F, Foschi R, La Vecchia C, Negri E. Risk factors for falls in community-dwelling older people: a systematic review and meta-analysis. Epidemiology. 2010 Sep;21(5):658-68. doi: 10.1097/EDE.0b013e3181e89905.
- Deshpande N, Metter EJ, Lauretani F, Bandinelli S, Guralnik J, Ferrucci L. Activity restriction induced by fear of falling and objective and subjective measures of physical function: a prospective cohort study. J Am Geriatr Soc. 2008 Apr;56(4):615-20. doi: 10.1111/j.1532-5415.2007.01639.x. Epub 2008 Feb 26.
- Dusemund F, Steiner M, Vuilliomenet A, Muller C, Bossart R, Regez K, Schild U, Conca A, Huber A, Reutlinger B, Muller B, Albrich WC. Multidisciplinary Assessment to Personalize Length of Stay in Acute Decompensated Heart Failure (OPTIMA II ADHF). J Clin Med Res. 2012 Dec;4(6):402-9. doi: 10.4021/jocmr1154w. Epub 2012 Nov 11.
- Fokkenrood HJ, Bendermacher BL, Lauret GJ, Willigendael EM, Prins MH, Teijink JA. Supervised exercise therapy versus non-supervised exercise therapy for intermittent claudication. Cochrane Database Syst Rev. 2013 Aug 23;(8):CD005263. doi: 10.1002/14651858.CD005263.pub3.
- Galea M, Woodward M. Mini-Mental State Examination (MMSE). Aust J Physiother. 2005;51(3):198. doi: 10.1016/s0004-9514(05)70034-9. No abstract available.
- Gao Z, Lee JE, McDonough DJ, Albers C. Virtual Reality Exercise as a Coping Strategy for Health and Wellness Promotion in Older Adults during the COVID-19 Pandemic. J Clin Med. 2020 Jun 25;9(6):1986. doi: 10.3390/jcm9061986.
- Gaugler JE, Reese M, Mittelman MS. Effects of the Minnesota Adaptation of the NYU Caregiver Intervention on Depressive Symptoms and Quality of Life for Adult Child Caregivers of Persons with Dementia. Am J Geriatr Psychiatry. 2015 Nov;23(11):1179-92. doi: 10.1016/j.jagp.2015.06.007. Epub 2015 Jun 25.
- Goble DJ, Cone BL, Fling BW. Using the Wii Fit as a tool for balance assessment and neurorehabilitation: the first half decade of "Wii-search". J Neuroeng Rehabil. 2014 Feb 8;11:12. doi: 10.1186/1743-0003-11-12.
- Grabiner MD, Kaufman KR. Developing and Establishing Biomechanical Variables as Risk Biomarkers for Preventable Gait-Related Falls and Assessment of Intervention Effectiveness. Front Sports Act Living. 2021 Sep 22;3:722363. doi: 10.3389/fspor.2021.722363. eCollection 2021.
- Groth-Marnat, G. (2009). Handbook of psychological assessment. John Wiley & Sons.
- Haddad M. Depression in adults with a chronic physical health problem: treatment and management. Int J Nurs Stud. 2009 Nov;46(11):1411-4. doi: 10.1016/j.ijnurstu.2009.08.007. No abstract available.
- Heidenblut S, Zank S. Screening for Depression in Old Age With Very Short Instruments: The DIA-S4 Compared to the GDS5 and GDS4. Gerontol Geriatr Med. 2020 Dec 10;6:2333721420981328. doi: 10.1177/2333721420981328. eCollection 2020 Jan-Dec.
- Heinzel, S., Lawrence, J. B., Kallies, G., Rapp, M. A., & Heissel, A. (2015). Using exercise to fight depression in older adults: A systematic review and meta-analysis. GeroPsych: The Journal of Gerontopsychology and Geriatric Psychiatry, 28(4), 149.
- Hu S, Tucker L, Wu C, Yang L. Beneficial Effects of Exercise on Depression and Anxiety During the Covid-19 Pandemic: A Narrative Review. Front Psychiatry. 2020 Nov 4;11:587557. doi: 10.3389/fpsyt.2020.587557. eCollection 2020.
- Iaboni A, Flint AJ. The complex interplay of depression and falls in older adults: a clinical review. Am J Geriatr Psychiatry. 2013 May;21(5):484-92. doi: 10.1016/j.jagp.2013.01.008. Epub 2013 Feb 6.
- Chand SP, Arif H, Kutlenios RM. Depression (Nursing). 2023 Jul 17. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2023 Jan-. Available from http://www.ncbi.nlm.nih.gov/books/NBK568733/
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- IRB-PGS-2023-03-253
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
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
Clinical Trials on Elderly
-
DSM Nutritional Products, Inc.CompletedFrail Elderly | Pre-frail ElderlyNetherlands
-
Maimonides Medical CenterCompletedElderly | Frail Elderly | Hospitalization | Geriatrics
-
University of ThessalyCompletedFunctionality, Falls, Elderly, Fall Prevention, Exercise Elderly, Assessment, Rehabilitation, Community-DwellingGreece
-
Hospital Israelita Albert EinsteinConselho Nacional de Desenvolvimento Científico e Tecnológico; Paulo de Tarso...Recruiting
-
Istanbul Medipol University HospitalCompleted
-
Seoul National University HospitalCompleted
-
Purdue UniversityCompleted
-
American Board of Internal MedicineThe Josiah Macy, Jr. FoundationCompleted
-
Riphah International UniversityNot yet recruiting
-
Aix Marseille UniversitéNot yet recruiting
Clinical Trials on C mell treadmill
-
Fondazione Don Carlo Gnocchi OnlusUnknownStroke | Multiple Sclerosis | Parkinson DiseaseItaly
-
University of FlorenceFondazione Don Carlo Gnocchi OnlusRecruitingParkinson Disease | Gait, Unsteady | Gait, Shuffling | Gait, Festinating | Fall Due to Loss of EquilibriumItaly
-
Kessler FoundationRecruitingTraumatic Brain InjuryUnited States
-
Klinik ValensRecruitingParkinson Disease | FallSwitzerland
-
Reuth Rehabilitation HospitalActive, not recruitingChronic Pain of Left Foot (Finding) | Chronic Pain of Right Foot (Finding)Israel
-
Neuron, SpainRecruitingStroke | Gait Disorders, Neurologic | WalkingSpain
-
Memorial University of NewfoundlandCompletedMultiple Sclerosis | Rehabilitation | Gait Disorders, Neurologic | Neuronal PlasticityCanada
-
Umm Al-Qura UniversityRecruiting
-
Umm Al-Qura UniversityRecruiting
-
Craig HospitalNot yet recruitingTraumatic Brain InjuryUnited States