Clinical Trials Logo

Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT06255145
Other study ID # PamukkaleUniversityRC
Secondary ID
Status Completed
Phase N/A
First received
Last updated
Start date December 17, 2021
Est. completion date July 5, 2022

Study information

Verified date February 2024
Source Pamukkale University
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

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).


Description:

As defined by the World Health Organization, stroke is "a clinical condition that has no apparent cause other than vascular causes, lasts for 24 hours or longer, or may result in death, and is characterized by sudden focal (or global) disturbances in cerebral function. It is the third leading cause of mortality in the world after cardiovascular diseases and cancer, and ranks first in terms of causing disability.¹ In Turkey, the incidence of stroke was estimated as 125,345 (154 per hundred thousand), the prevalence as 1,080,380 (1.3 percent), the mortality rate due to stroke as 48,947 people and the number of years of life lost due to stroke-related death/disability as 993,082 years.2Approximately 795000 people have a stroke in the United States of America every year and 185000 of them relapse.3 In 2016, stroke was responsible for approximately 5.5 million deaths and 116.4 million years of quality of life loss, with a significant impact on the economy.4 Post-stroke dysphagia, visual-spatial disorientation, gastrointestinal system disorders, depression, and increased catabolic process lead to malnutrition.5 In addition to hormonal changes and immobilization, fat mass increases while lean body mass decreases in individuals with stroke (IVS).6 Besides, following stroke, factors such as inadequate calorie and macronutrient intake, denervation, disuse, spasticity, and inflammation may come together to cause sarcopenia and thereby an increase in fat mass.5,7 Additionally, the study by Li et al. concluded that muscle loss after stroke is also accompanied by an increase in intramuscular fat and bone loss.8 In IVS, loss of muscle mass causes fatigue, general weakness and lack of energy. In one study, it was stated that skeletal muscle mass should be increased to reduce fatigue in IVS.9 Fatigue is a subjectively reported lack of physical and mental energy that negatively affects daily life activities. Among stroke survivors, 40% identified fatigue as one of the worst symptoms.10 IVS have gait and balance disorders due to motor, visual-perceptual, sensory problems, spasticity, paralysis, muscle atrophy, increase in fat mass, fatigue, movement limitations, proprioceptive sensory loss and impairments in cognitive functions. This situation can negatively affect the functional status of individuals by reducing their mobility levels.11,12 In stroke rehabilitation, it is important to identify the fat mass in individuals with stroke, to determine the loss of muscle mass in parallel, to determine in which regions the fat mass level increases more significantly, and to compare the fatigue and functional losses that may occur with this increase with healthy individuals in the same age group. In the literature, we did not find any study that evaluated body composition changes, fatigue, mobility and functional status together in IVS. The present study is significant in terms of examining the body composition of IVS in detail and evaluating the extent to which body composition parameters, fatigue, mobility and functional independence levels differ when compared with healthy controls. The purpose of our study is to compare body composition, fatigue, mobility and functional status in stroke patients with healthy subjects.


Recruitment information / eligibility

Status Completed
Enrollment 42
Est. completion date July 5, 2022
Est. primary completion date June 5, 2022
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 18 Years to 65 Years
Eligibility 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 Design


Related Conditions & MeSH terms


Intervention

Device:
Bioelectrical Impedance Analysis
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.

Locations

Country Name City State
Turkey Pamukkale University Denizli

Sponsors (1)

Lead Sponsor Collaborator
Pamukkale University

Country where clinical trial is conducted

Turkey, 

References & Publications (33)

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. — View Citation

al-Majid S, McCarthy DO. Cancer-induced fatigue and skeletal muscle wasting: the role of exercise. Biol Res Nurs. 2001 Jan;2(3):186-97. doi: 10.1177/109980040100200304. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

Collen FM, Wade DT, Robb GF, Bradshaw CM. The Rivermead Mobility Index: a further development of the Rivermead Motor Assessment. Int Disabil Stud. 1991 Apr-Jun;13(2):50-4. doi: 10.3109/03790799109166684. — View Citation

Cruz-Jentoft AJ, Sayer AA. Sarcopenia. Lancet. 2019 Jun 29;393(10191):2636-2646. doi: 10.1016/S0140-6736(19)31138-9. Epub 2019 Jun 3. Erratum In: Lancet. 2019 Jun 29;393(10191):2590. — View Citation

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. — View Citation

Kleindorfer DO, Towfighi A, Chaturvedi S, Cockroft KM, Gutierrez J, Lombardi-Hill D, Kamel H, Kernan WN, Kittner SJ, Leira EC, Lennon O, Meschia JF, Nguyen TN, Pollak PM, Santangeli P, Sharrief AZ, Smith SC Jr, Turan TN, Williams LS. 2021 Guideline for the Prevention of Stroke in Patients With Stroke and Transient Ischemic Attack: A Guideline From the American Heart Association/American Stroke Association. Stroke. 2021 Jul;52(7):e364-e467. doi: 10.1161/STR.0000000000000375. Epub 2021 May 24. No abstract available. Erratum In: Stroke. 2021 Jul;52(7):e483-e484. — View Citation

Krupp LB, LaRocca NG, Muir-Nash J, Steinberg AD. The fatigue severity scale. Application to patients with multiple sclerosis and systemic lupus erythematosus. Arch Neurol. 1989 Oct;46(10):1121-3. doi: 10.1001/archneur.1989.00520460115022. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

Mayo NE, Wood-Dauphinee S, Cote R, Durcan L, Carlton J. Activity, participation, and quality of life 6 months poststroke. Arch Phys Med Rehabil. 2002 Aug;83(8):1035-42. doi: 10.1053/apmr.2002.33984. — View Citation

Morgado PC, Giorlando A, Castro M, Navigante A. Relationship between weight loss and parameters of skeletal muscle function in patients with advanced cancer and fatigue. Support Care Cancer. 2016 Sep;24(9):3961-6. doi: 10.1007/s00520-016-3236-9. Epub 2016 Apr 28. — View Citation

Neefjes EC, van der Vorst MJ, Blauwhoff-Buskermolen S, Verheul HM. Aiming for a better understanding and management of cancer-related fatigue. Oncologist. 2013;18(10):1135-43. doi: 10.1634/theoncologist.2013-0076. Epub 2013 Sep 13. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

Siotto M, Germanotta M, Guerrini A, Pascali S, Cipollini V, Cortellini L, Ruco E, Khazrai YM, De Gara L, Aprile I. Relationship between Nutritional Status, Food Consumption and Sarcopenia in Post-Stroke Rehabilitation: Preliminary Data. Nutrients. 2022 Nov 15;14(22):4825. doi: 10.3390/nu14224825. — View Citation

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. — View Citation

Sudlow CL, Warlow CP. Comparing stroke incidence worldwide: what makes studies comparable? Stroke. 1996 Mar;27(3):550-8. doi: 10.1161/01.str.27.3.550. — View Citation

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. — View Citation

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. — View Citation

Wagner LI, Cella D. Fatigue and cancer: causes, prevalence and treatment approaches. Br J Cancer. 2004 Aug 31;91(5):822-8. doi: 10.1038/sj.bjc.6602012. — View Citation

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. — View Citation

* Note: There are 33 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Bioelectrical Impedance Analysis body weight 12 week
Primary Bioelectrical Impedance Analysis body fat percentage 12 week
Primary Bioelectrical Impedance Analysis muscle percentage 12 week
Primary Bioelectrical Impedance Analysis total water percentage 12 week
Primary Bioelectrical Impedance Analysis visceral fat amount 12 week
Primary Bioelectrical Impedance Analysis total bone mass 12 week
Secondary Fatigue Severity Scale 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". 12 week
Secondary Rivermead Mobility Index 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. 12 week
Secondary Functional Independence Scale 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
See also
  Status Clinical Trial Phase
Enrolling by invitation NCT05512559 - Body Composition Analysis and Time to Emergence From Remimazolam
Enrolling by invitation NCT05515835 - Relationship Between Effect Duration of Rocuronium and Body Composition Analysis Data.
Completed NCT04136821 - The Long-term Effects of Oceanix™ on Resistance Training Adaptations N/A
Completed NCT03432130 - Injury Occurrence in Hip-hop Dance N/A
Completed NCT04504799 - Validation of the New HAG-B19 Scale for Measuring Lean and Fat Body Masse
Withdrawn NCT04021446 - A Supervised Clinic-to-Community Exercise Intervention to Improve Cardiometabolic Health in Survivors of AYA Cancer N/A
Completed NCT02211612 - Overeating Different Fats and Influence on Muscle Mass and Body Fat Accumulation N/A
Completed NCT03412578 - Effect of Tactile/Kinaesthetic Massage Therapy on DXA Parameter of Preterm Infants N/A
Completed NCT02000492 - Frequent Ballgames Training for 9-11 Year Old Schoolchildren N/A
Completed NCT01209936 - Hydration Factor Study for the Stayhealthy BC3 N/A
Recruiting NCT06061315 - Effect of Collagen Peptides, in Combination With Resistance Training, on Body Composition and Muscle Strength in Untrained Men N/A
Completed NCT05730660 - Quercetin Phytosome® Chronic Fatigue Syndrome N/A
Recruiting NCT04969588 - Kinect Equations for Body Indices and Body Composition
Completed NCT04828655 - Analysis of Bioparametric Measures for Correlating Daily Habits and Reducing Blood Pressure N/A
Completed NCT04404413 - High-Intensity Interval Training and Intermittent Fasting on Body Composition and Physical Performance in Active Women N/A
Completed NCT05052164 - Improvement Of Physical And Physiological Parameters In Menopausal Or Post-Menopausal Celiac Women N/A
Completed NCT03352583 - Effects of Casein Timing on Body Composition and Performance N/A
Enrolling by invitation NCT03587233 - Are Women With Higher Professional Status More Sedentary Compared to Men? N/A
Recruiting NCT05556239 - STAY-STRONG Study of Exercise Training During Chemotherapy N/A
Active, not recruiting NCT04306523 - Early Genetic and Environmental Influences on Eating - The Baylor Infant Twins Study