- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06255145
Assessment of Body Composition, Fatigue, Mobility and Functional Status in Post-Stroke Individuals
The goal of this randomized controlled trial is to evaluate body composition, fatigue, mobility level, functional status in with stroke individuals. The main questions it aims to answer are:
How is body composition affected in individuals with stroke? How is the level of fatigue affected in individuals with stroke? How is the mobility level affected in individuals with stroke? How is functional status affected in individuals with stroke? In this study, we included 21 patients with stroke and 21 healthy controls. The body composition of the participants was evaluated by Bioelectrical Impedance Analysis (BIA), fatigue level by Fatigue Severity Scale (FSS), mobility level by Rivermead Mobility Index (RMI), and functional status by Functional Independence Scale (FIM).
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Denizli, Turkey, 20160
- Pamukkale University
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion criteria for individuals with stroke:
- Being between the ages of 18-65
- Volunteering to participate in the study
- Having a score of 25 or above on the Mini Mental Test
- Getting a score between 0-3 on the Modified Rankin Scale
Exclusion criteria for individuals with stroke:
- Having cardiac insufficiency
- Being morbid obesity
- Having pacemaker
- Being pregnant
Inclusion criteria for healty individuals:
- Being between the ages of 30-65
- Volunteering to participate in the study
- Not having any neurological, orthopedic, rheumatologic and metabolic problems
- Having a score of 25 or above on the Mini Mental Test
Exclusion criteria for healty individuals:
- Participating in any fat burning diet program
- Exercising regularly
- Being pregnant
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: Randomized
- Interventional Model: Factorial Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Experimental group
In all participants, body composition evaluation was carried out with the Beurer BF 1000 Super Precision device using the Bioelectrical Impedance Analysis principle, fatigue evaluation was carried out with the Fatigue Severity Scale, mobility evaluation was carried out with the Rivermead Mobility Index, and functional status evaluation was carried out with the Functional Independence Scale.
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Bioelectrical Impedance Analysis Beurer BF 1000 Super Precision device was used to measure the body composition of the participants. Operating on the principle of BIA, the device allows the body composition to be evaluated by giving an imperceptible electric current to the body. Fatigue Severity Scale (FSS) Fatigue Severity Scale (FSS) was used to measure participants' fatigue levels. Rivermead Mobility Index Rivermead Mobility Index (RMI) was used to assess the mobility levels of the participants. Functional Independence Measure Functional Independence Measure (FIM) was used to evaluate the functional status of the participants.
Other Names:
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Active Comparator: Control Group
In all participants, body composition evaluation was carried out with the Beurer BF 1000 Super Precision device using the Bioelectrical Impedance Analysis principle, fatigue evaluation was carried out with the Fatigue Severity Scale, mobility evaluation was carried out with the Rivermead Mobility Index, and functional status evaluation was carried out with the Functional Independence Scale.
|
Bioelectrical Impedance Analysis Beurer BF 1000 Super Precision device was used to measure the body composition of the participants. Operating on the principle of BIA, the device allows the body composition to be evaluated by giving an imperceptible electric current to the body. Fatigue Severity Scale (FSS) Fatigue Severity Scale (FSS) was used to measure participants' fatigue levels. Rivermead Mobility Index Rivermead Mobility Index (RMI) was used to assess the mobility levels of the participants. Functional Independence Measure Functional Independence Measure (FIM) was used to evaluate the functional status of the participants.
Other Names:
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Bioelectrical Impedance Analysis
Time Frame: 12 week
|
body weight
|
12 week
|
Bioelectrical Impedance Analysis
Time Frame: 12 week
|
body fat percentage
|
12 week
|
Bioelectrical Impedance Analysis
Time Frame: 12 week
|
muscle percentage
|
12 week
|
Bioelectrical Impedance Analysis
Time Frame: 12 week
|
total water percentage
|
12 week
|
Bioelectrical Impedance Analysis
Time Frame: 12 week
|
visceral fat amount
|
12 week
|
Bioelectrical Impedance Analysis
Time Frame: 12 week
|
total bone mass
|
12 week
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Fatigue Severity Scale
Time Frame: 12 week
|
fatique.
Minimum score is 9 and maximum score is 63.
Scores of 36 or more represent severe fatigue.
Scale score is the mean value of the nine items.
When the total score is below 4, it is considered as "not tired" and when it is above 4, it is considered as "tired".
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12 week
|
Rivermead Mobility Index
Time Frame: 12 week
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mobility.Total score is between 0-15.
The score of 15 means that there is no problem in mobility, while a score of 14 and below means that there is a problem in mobility.
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12 week
|
Functional Independence Scale
Time Frame: 12 week
|
functional status.It consists of 18 items under six headings: self-care, sphincter control, transfer, displacement, communication and social perception.
Every item is scored between 1-7 (1 point: fully dependent, 7 points: fully independent).
It is possible to get a minimum score of 18 and a maximum score of 126.
|
12 week
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Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Raziye Çelik, PT., Pamukkale University
- Study Director: Emre Baskan, Assoc Prof., Pamukkale University
- Study Director: Aziz Dengiz, PT Phd, Muş Alparslan University
Publications and helpful links
General Publications
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- Hebert D, Lindsay MP, McIntyre A, Kirton A, Rumney PG, Bagg S, Bayley M, Dowlatshahi D, Dukelow S, Garnhum M, Glasser E, Halabi ML, Kang E, MacKay-Lyons M, Martino R, Rochette A, Rowe S, Salbach N, Semenko B, Stack B, Swinton L, Weber V, Mayer M, Verrilli S, DeVeber G, Andersen J, Barlow K, Cassidy C, Dilenge ME, Fehlings D, Hung R, Iruthayarajah J, Lenz L, Majnemer A, Purtzki J, Rafay M, Sonnenberg LK, Townley A, Janzen S, Foley N, Teasell R. Canadian stroke best practice recommendations: Stroke rehabilitation practice guidelines, update 2015. Int J Stroke. 2016 Jun;11(4):459-84. doi: 10.1177/1747493016643553. Epub 2016 Apr 14.
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- Paciaroni M, Acciarresi M. Poststroke Fatigue. Stroke. 2019 Jul;50(7):1927-1933. doi: 10.1161/STROKEAHA.119.023552. Epub 2019 Jun 14. No abstract available.
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- Purroy F, Montala N. Epidemiology of stroke in the last decade: a systematic review. Rev Neurol. 2021 Nov 1;73(9):321-336. doi: 10.33588/rn.7309.2021138. English, Spanish.
- Scherbakov N, von Haehling S, Anker SD, Dirnagl U, Doehner W. Stroke induced Sarcopenia: muscle wasting and disability after stroke. Int J Cardiol. 2013 Dec 10;170(2):89-94. doi: 10.1016/j.ijcard.2013.10.031. Epub 2013 Oct 14.
- Li S, Gonzalez-Buonomo J, Ghuman J, Huang X, Malik A, Yozbatiran N, Magat E, Francisco GE, Wu H, Frontera WR. Aging after stroke: how to define post-stroke sarcopenia and what are its risk factors? Eur J Phys Rehabil Med. 2022 Oct;58(5):683-692. doi: 10.23736/S1973-9087.22.07514-1. Epub 2022 Sep 5.
- Su Y, Asamoto M, Yuki M, Saito M, Hasebe N, Hirayama K, Otsuki M, Iino C. Predictors and short-term outcomes of post-stroke fatigue in initial phase of transition from hospital to home: A prospective observational study. J Adv Nurs. 2021 Apr;77(4):1825-1838. doi: 10.1111/jan.14731. Epub 2020 Dec 23.
- Tani Y, Otaka Y, Kudo M, Kurayama T, Kondo K. Prevalence of Genu Recurvatum during Walking and Associated Knee Pain in Chronic Hemiplegic Stroke Patients: A Preliminary Survey. J Stroke Cerebrovasc Dis. 2016 May;25(5):1153-1157. doi: 10.1016/j.jstrokecerebrovasdis.2016.01.028. Epub 2016 Feb 19.
- Mally K, Trentmann J, Heller M, Dittmar M. Reliability and accuracy of segmental bioelectrical impedance analysis for assessing muscle and fat mass in older Europeans: a comparison with dual-energy X-ray absorptiometry. Eur J Appl Physiol. 2011 Aug;111(8):1879-87. doi: 10.1007/s00421-010-1795-x. Epub 2011 Jan 14.
- Ozyemisci-Taskiran O, Batur EB, Yuksel S, Cengiz M, Karatas GK. Validity and reliability of fatigue severity scale in stroke. Top Stroke Rehabil. 2019 Mar;26(2):122-127. doi: 10.1080/10749357.2018.1550957. Epub 2018 Nov 26.
- Ottenbacher KJ, Hsu Y, Granger CV, Fiedler RC. The reliability of the functional independence measure: a quantitative review. Arch Phys Med Rehabil. 1996 Dec;77(12):1226-32. doi: 10.1016/s0003-9993(96)90184-7.
- Chang KV, Wu WT, Huang KC, Han DS. Segmental body composition transitions in stroke patients: Trunks are different from extremities and strokes are as important as hemiparesis. Clin Nutr. 2020 Jun;39(6):1968-1973. doi: 10.1016/j.clnu.2019.08.024. Epub 2019 Aug 31.
- Ramsay JW, Barrance PJ, Buchanan TS, Higginson JS. Paretic muscle atrophy and non-contractile tissue content in individual muscles of the post-stroke lower extremity. J Biomech. 2011 Nov 10;44(16):2741-6. doi: 10.1016/j.jbiomech.2011.09.001. Epub 2011 Sep 25.
- Borschmann K, Iuliano S, Ghasem-Zadeh A, Churilov L, Pang MYC, Bernhardt J. Upright activity and higher motor function may preserve bone mineral density within 6 months of stroke: a longitudinal study. Arch Osteoporos. 2018 Jan 8;13(1):5. doi: 10.1007/s11657-017-0414-4.
- Aali G, Drummond A, das Nair R, Shokraneh F. Post-stroke fatigue: a scoping review. F1000Res. 2020 Apr 7;9:242. doi: 10.12688/f1000research.22880.2. eCollection 2020.
- Choi-Kwon S, Choi SH, Suh M, Choi S, Cho KH, Nah HW, Song H, Kim JS. Musculoskeletal and central pain at 1 year post-stroke: associated factors and impact on quality of life. Acta Neurol Scand. 2017 Apr;135(4):419-425. doi: 10.1111/ane.12617. Epub 2016 Jun 6.
- MacIntosh BJ, Edwards JD, Kang M, Cogo-Moreira H, Chen JL, Mochizuki G, Herrmann N, Swardfager W. Post-stroke Fatigue and Depressive Symptoms Are Differentially Related to Mobility and Cognitive Performance. Front Aging Neurosci. 2017 Oct 31;9:343. doi: 10.3389/fnagi.2017.00343. eCollection 2017.
- Bye A, Sjoblom B, Wentzel-Larsen T, Gronberg BH, Baracos VE, Hjermstad MJ, Aass N, Bremnes RM, Flotten O, Jordhoy M. Muscle mass and association to quality of life in non-small cell lung cancer patients. J Cachexia Sarcopenia Muscle. 2017 Oct;8(5):759-767. doi: 10.1002/jcsm.12206. Epub 2017 May 10.
- Wang B, Thapa S, Zhou T, Liu H, Li L, Peng G, Yu S. Cancer-related fatigue and biochemical parameters among cancer patients with different stages of sarcopenia. Support Care Cancer. 2020 Feb;28(2):581-588. doi: 10.1007/s00520-019-04717-0. Epub 2019 May 17.
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- Neefjes ECW, van den Hurk RM, Blauwhoff-Buskermolen S, van der Vorst MJDL, Becker-Commissaris A, de van der Schueren MAE, Buffart LM, Verheul HMW. Muscle mass as a target to reduce fatigue in patients with advanced cancer. J Cachexia Sarcopenia Muscle. 2017 Aug;8(4):623-629. doi: 10.1002/jcsm.12199. Epub 2017 Jun 21.
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- Peters DM, O'Brien ES, Kamrud KE, Roberts SM, Rooney TA, Thibodeau KP, Balakrishnan S, Gell N, Mohapatra S. Utilization of wearable technology to assess gait and mobility post-stroke: a systematic review. J Neuroeng Rehabil. 2021 Apr 21;18(1):67. doi: 10.1186/s12984-021-00863-x.
- Ursin MH, Ihle-Hansen H, Fure B, Tveit A, Bergland A. Effects of premorbid physical activity on stroke severity and post-stroke functioning. J Rehabil Med. 2015 Aug 18;47(7):612-7. doi: 10.2340/16501977-1972.
- Silva CRRD, Pimenta CJL, Viana LRC, Ferreira GRS, Bezerra TA, Costa TFD, Pontes MLF, Costa KNFM. Specific health-related quality of life in Cerebrovascular accident survivors: associated factors. Rev Bras Enferm. 2021 Nov 29;75(3):e20210407. doi: 10.1590/0034-7167-2021-0407. eCollection 2021. English, Portuguese.
Helpful Links
- Türkiye'de inme epidemiyolojisi ve yakın gelecek projeksiyonu: küresel hastalık yükü çalışması türkiye verilerinin analizi
- İnme Hastalarında Nütrisyonel Yaklaşım ve Tedavi, Türkiye için Uzman Görüşü
- Fitness ve EMS (Electromyostimulation) antrenman tekniklerinin vücut kompozisyonu üzerine etkileri
- BF 1000 Super Pricision Kullanım Kılavuzu
- Fazla kilolu ve obez kadınlarda 30 dakika egzersiz kilo kaybı üzerine etkili midir?
- Rivermead mobilite indeksi (RMI) türkçe formunun yaşlılarda geçerlilik ve güvenilirliği
- Türkiye'de nörorehabilitasyon hastalarının değerlendirilmesinde fonksiyonel bağımsızlık ölçeği ve Modifiye Barthel İndeksi'nin yeri
- Bone mineral density and its relationship with body composition indices in stroke patients
- İnme sonrası alt ekstremite, mobilite ve yürüme: alt ekstremite, hareketlilik ve inme sonrası yürüyüş.
- Impact of stroke on quality of life and functional independence:research article.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimated)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- PamukkaleUniversityRC
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
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.
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