NCT07013513

Brief Summary

Parkinson's disease (PD) is a condition that affects movement and gets worse over time. It is more common in older adults. People with PD may have symptoms like shaking, stiff muscles, slow movement, and trouble with balance. They may also experience other issues like pain, depression, anxiety, and memory problems, which can make daily life harder. Physiological resilience is the body's ability to recover or stay strong despite challenges like aging or illness. People with low resilience may struggle to cope with illness, become less active, and have a higher risk of weakness or hospitalization. Since both PD and low resilience are more common in older adults, understanding how PD affects resilience can help improve care. This study will look at resilience in people with PD by measuring heart, lung, muscle, coordination, memory, and thinking abilities. It will also compare two types of single-session aerobic exercise-cycling and walking on a treadmill-regarding participants' perspectives. Participants will be randomly chosen to do one of these exercises for 40 minutes at a moderate level. Afterward, they will share their thoughts on how enjoyable and comfortable the exercise was and whether they would continue doing it. Aerobic exercise is often recommended for people with PD, but it is unclear which type is best for people with PD and which type is mostly preferred by participants with PD. The results of this study will help practitioners make better exercise recommendations for people with PD, leading to better symptom management and a higher quality of life.

Trial Health

63
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
16

participants targeted

Target at below P25 for all trials

Timeline
5mo left

Started Jun 2025

Geographic Reach
1 country

1 active site

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress70%
Jun 2025Oct 2026

First Submitted

Initial submission to the registry

June 1, 2025

Completed
Same day until next milestone

Study Start

First participant enrolled

June 1, 2025

Completed
9 days until next milestone

First Posted

Study publicly available on registry

June 10, 2025

Completed
1.3 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 1, 2026

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

October 1, 2026

Last Updated

June 10, 2025

Status Verified

June 1, 2025

Enrollment Period

1.3 years

First QC Date

June 1, 2025

Last Update Submit

June 1, 2025

Conditions

Keywords

Parkinson's Disease, elderly, resilience, characterisation, aerobic exercise, feasibility

Outcome Measures

Primary Outcomes (13)

  • Body mass assessment

    Bioelectrical impedance analysis (BIA) will be used for this. BIA is simple to use, places a minimal burden on individuals, uses lightweight and inexpensive equipment, and, most significantly, provides no radiation risk compared to many other methods. It is also found feasible and reliable for the measurement of muscle mass for adults in clinical settings.

    on the assessment day (a single time point)

  • Muscle mass assessment

    Muscle thickness, pennation angle, and fascicle length of vastus lateralis will be measured on ultrasound. Ultrasonography is also a technology that is portable, safe, and clearly distinguishes between muscle and subcutaneous fat tissues as well as a valid and novel tool for muscle mass assessment.

    on the assessment day (a single time point)

  • Muscle strength with maximum voluntary contraction of knee extension

    Maximum voluntary contraction is a standardised technique for assessing muscle strength. Knee extension strength will be measured with an isometric dynamometer.

    on the assessment day (a single time point)

  • Handgrip strength assessment

    Isometric hand grip strength is closely correlated with the strength of the muscles in the lower extremities, the torque of the knee, and poor mobility is clinically indicated by low handgrip strength. Higher values mean better results. It will be assessed with a dynamometer.

    on the assessment day (a single time point)

  • Surface Electromyography for vastus lateralis, including neuromuscular tracking tasks for knee extension

    Muscle contraction is initiated by motor units, which are made up of a motor neuron and the muscle fibers it innervates. When a motor unit fires, it generates a compound action potential composed of the synchronized action potentials of the muscle fibers within that unit. Surface EMG electrodes are placed on the skin and pick up the electrical activity generated by these action potentials, representing the overall muscle activity. Force accuracy is an important parameter since most daily activities are conducted at submaximal levels, where force fluctuation can be observed and reduce the ability to create an intended movement. Participants will be requested to follow a force trace line on a monitor during knee extension. The tasks will be performed at levels relative to the MVC ranging from 10-70% of maximum

    on the assessment day (a single time point)

  • Cardiorespiratory fitness assessment via 6-minute walking test (6MWT)

    In the 6MWT, participants are encouraged to walk as much as they can for six minutes along a continuous, interior track that is 30 metres long and has a hard surface. It is a simple, cost-effective, and validated tool in several populations, and it has been frequently used to measure cardiorespiratory fitness as a field test. The distance covered on this test is reported. Higher values mean better results.

    on the assessment day (a single time point)

  • Cardiorespiratory fitness assessment via the Ekblom-bak test

    The Ekblom-bak test consists of exercise at one standardized, low work rate followed by a higher, individually set work rate. Both work rates are performed for 4 minutes at a cadence of 60rpm on a cycle ergometer. The individual higher work rate is chosen by the researcher according to the participants' gender, age, and training background. The higher work rate aims to reach the Borg RPE 12-16. Heart rate is measured during the last minute of each work rate (at 3:15, 3:30, 3:45, and 4:00). Then VO2max is estimated with a formula.

    on the assessment day (a single time point)

  • Different balance tasks and balance time on a motion platform (FootScan)

    For the balance tests, using a platform (FootScan) that can assess features such as Centre of Pressure (COP) and sway, participants will be asked to stand on both feet and then on one foot with their eyes open and closed. Time to failure (i.e., need to place the second foot on the floor and/or open eyes) will be recorded. A chair will be located behind participants for this assessment and a researcher will remain within touching distance. Participants will only be requested to complete the aspects of this assessment that they feel comfortable doing.

    on the assessment day (a single time point)

  • Functional ability assessment via short physical performance battery test

    Short physical performance battery test (SPPB) includes the chair rise, balance, walk and gait speed assessments for functional mobility (24). An overall score is determined on a scale from 0 to 12, with lower scores representing a more severe level of disability and higher scores representing more functionally normal levels.

    on the assessment day (a single time point)

  • Functional ability assessment via the Timed up and Go test

    The Timed up and Go test is a tool for assessing lower limb functional ability and its use has been recommended by the literature. The time required to finish the test is commonly utilised as the primary outcome of the evaluation. This test has previously been used in several studies to assess functional ability

    on the assessment day (a single time point)

  • Gait analysis with a walking sensor

    For this analysis participants simply have to walk over a biomechanics platform while wearing a walking sensor using their normal gait so that features such as stride length and stride symmetry can be assessed

    on the assessment day (a single time point)

  • Cognition assessment via Mini-ACE

    The Mini-ACE is a brief cognitive test that evaluates four main cognitive areas (orientation, memory, language and visuospatial function). Higher values mean better results.

    on the assessment day (a single time point)

  • Hand dexterity assessment via 9-hole peg board task

    Manual dexterity is an important ability that affects an individual's independence in activities of daily living and should be measured as a core element. The 9-hole peg test has been shown to be a valid and reliable tool to measure upper extremity dexterity in various groups

    on the assessment day (a single time point)

Secondary Outcomes (4)

  • Enjoyment via the Physical Activity Enjoyment Scale on a single-bout aerobic exercise session (either treadmill or cycling)

    on the assessment day (a single time point)

  • Tolerability via the Visual Analog Scale

    on the assessment day (a single time point)

  • Emotional state assessment via the Feeling Scale

    on the assessment day (a single time point)

  • intention to continue exercising assessment via a 7-point Likert scale

    on the assessment day (a single time point)

Eligibility Criteria

Age40 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

The population will be selected from the community sample at local groups that cater to older persons in general, through our current PPI-E networks, and through nonprofit organisations and charities that assist Parkinson's sufferers. The planned study's benefits, inherent risks, potential adverse events, and anticipated time commitments would all be thoroughly explained to volunteers, along with the methods and protocols that will be used. Interested participants then will be assessed according to the eligibility criteria.

You may qualify if:

  • Participants who are willing and able to give informed consent for participation in the study
  • Participants who can walk 30 meters with or without walking aids
  • Participants who have a confirmed diagnosis of Parkinson's disease by a healthcare professional.

You may not qualify if:

  • Cardio- and/or pulmonary diseases except for well-controlled hypertension and asthma
  • Severe cognitive impairment/dementia
  • Joint disorders preventing exercise participation
  • Current or recent (\<2 years) malignancy (excluding minor cancers such as skin cancer, or not receiving chemotherapy or radiotherapy within the last 3 months)

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

The University of Nottingham/Medical School

Derby, Derbyshire, United Kingdom

Location

Related Publications (23)

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    PMID: 25449717BACKGROUND
  • Singh NB, Arampatzis A, Duda G, Heller MO, Taylor WR. Effect of fatigue on force fluctuations in knee extensors in young adults. Philos Trans A Math Phys Eng Sci. 2010 Jun 13;368(1920):2783-98. doi: 10.1098/rsta.2010.0091.

    PMID: 20439273BACKGROUND
  • Santana MG, de Lira CA, Passos GS, Santos CA, Silva AH, Yoshida CH, Tufik S, de Mello MT. Is the six-minute walk test appropriate for detecting changes in cardiorespiratory fitness in healthy elderly men? J Sci Med Sport. 2012 May;15(3):259-65. doi: 10.1016/j.jsams.2011.11.249. Epub 2011 Dec 11.

    PMID: 22154397BACKGROUND
  • Dourado VZ, Nishiaka RK, Simoes MSMP, Lauria VT, Tanni SE, Godoy I, Gagliardi ART, Romiti M, Arantes RL. Classification of cardiorespiratory fitness using the six-minute walk test in adults: Comparison with cardiopulmonary exercise testing. Pulmonology. 2021 Nov-Dec;27(6):500-508. doi: 10.1016/j.pulmoe.2021.03.006. Epub 2021 May 4.

    PMID: 33958319BACKGROUND
  • Przkora R, Kinsky MP, Fisher SR, Babl C, Heyde CE, Vasilopoulos T, Kaye AD, Volpi E. Functional Improvements Utilizing the Short Physical Performance Battery (SPPB) in the Elderly after Epidural Steroid Injections. Curr Pain Headache Rep. 2019 Feb 22;23(2):14. doi: 10.1007/s11916-019-0748-2.

    PMID: 30796532BACKGROUND
  • Gojanovic M, Holloway-Kew KL, Hyde NK, Mohebbi M, Shivappa N, Hebert JR, O'Neil A, Pasco JA. The Dietary Inflammatory Index Is Associated with Low Muscle Mass and Low Muscle Function in Older Australians. Nutrients. 2021 Apr 1;13(4):1166. doi: 10.3390/nu13041166.

    PMID: 33916033BACKGROUND
  • Cruz-Jentoft AJ, Bahat G, Bauer J, Boirie Y, Bruyere O, Cederholm T, Cooper C, Landi F, Rolland Y, Sayer AA, Schneider SM, Sieber CC, Topinkova E, Vandewoude M, Visser M, Zamboni M; Writing Group for the European Working Group on Sarcopenia in Older People 2 (EWGSOP2), and the Extended Group for EWGSOP2. Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing. 2019 Jan 1;48(1):16-31. doi: 10.1093/ageing/afy169.

    PMID: 30312372BACKGROUND
  • Lauretani F, Russo CR, Bandinelli S, Bartali B, Cavazzini C, Di Iorio A, Corsi AM, Rantanen T, Guralnik JM, Ferrucci L. Age-associated changes in skeletal muscles and their effect on mobility: an operational diagnosis of sarcopenia. J Appl Physiol (1985). 2003 Nov;95(5):1851-60. doi: 10.1152/japplphysiol.00246.2003.

    PMID: 14555665BACKGROUND
  • Meldrum D, Cahalane E, Conroy R, Fitzgerald D, Hardiman O. Maximum voluntary isometric contraction: reference values and clinical application. Amyotroph Lateral Scler. 2007 Feb;8(1):47-55. doi: 10.1080/17482960601012491.

    PMID: 17364436BACKGROUND
  • Scott JM, Martin DS, Ploutz-Snyder R, Matz T, Caine T, Downs M, Hackney K, Buxton R, Ryder JW, Ploutz-Snyder L. Panoramic ultrasound: a novel and valid tool for monitoring change in muscle mass. J Cachexia Sarcopenia Muscle. 2017 Jun;8(3):475-481. doi: 10.1002/jcsm.12172. Epub 2017 Jan 3.

    PMID: 28052593BACKGROUND
  • Mijnarends DM, Meijers JM, Halfens RJ, ter Borg S, Luiking YC, Verlaan S, Schoberer D, Cruz Jentoft AJ, van Loon LJ, Schols JM. Validity and reliability of tools to measure muscle mass, strength, and physical performance in community-dwelling older people: a systematic review. J Am Med Dir Assoc. 2013 Mar;14(3):170-8. doi: 10.1016/j.jamda.2012.10.009. Epub 2012 Dec 29.

    PMID: 23276432BACKGROUND
  • Lee SY, Ahn S, Kim YJ, Ji MJ, Kim KM, Choi SH, Jang HC, Lim S. Comparison between Dual-Energy X-ray Absorptiometry and Bioelectrical Impedance Analyses for Accuracy in Measuring Whole Body Muscle Mass and Appendicular Skeletal Muscle Mass. Nutrients. 2018 Jun 7;10(6):738. doi: 10.3390/nu10060738.

    PMID: 29880741BACKGROUND
  • Bjorkman F, Ekblom-Bak E, Ekblom O, Ekblom B. Validity of the revised Ekblom Bak cycle ergometer test in adults. Eur J Appl Physiol. 2016 Sep;116(9):1627-38. doi: 10.1007/s00421-016-3412-0. Epub 2016 Jun 16.

    PMID: 27311582BACKGROUND
  • Sampedro-Piquero P, Moreno-Fernandez RD. Building Resilience with Aerobic Exercise: Role of FKBP5. Curr Neuropharmacol. 2021;19(8):1156-1160. doi: 10.2174/1570159X19666210408124937.

    PMID: 33829973BACKGROUND
  • Cosco TD, Howse K, Brayne C. Healthy ageing, resilience and wellbeing. Epidemiol Psychiatr Sci. 2017 Dec;26(6):579-583. doi: 10.1017/S2045796017000324. Epub 2017 Jul 6.

    PMID: 28679453BACKGROUND
  • Bloem BR, Okun MS, Klein C. Parkinson's disease. Lancet. 2021 Jun 12;397(10291):2284-2303. doi: 10.1016/S0140-6736(21)00218-X. Epub 2021 Apr 10.

    PMID: 33848468BACKGROUND
  • Berganzo K, Tijero B, Gonzalez-Eizaguirre A, Somme J, Lezcano E, Gabilondo I, Fernandez M, Zarranz JJ, Gomez-Esteban JC. Motor and non-motor symptoms of Parkinson's disease and their impact on quality of life and on different clinical subgroups. Neurologia. 2016 Nov-Dec;31(9):585-591. doi: 10.1016/j.nrl.2014.10.010. Epub 2014 Dec 17. English, Spanish.

    PMID: 25529173BACKGROUND
  • Schapira AHV, Chaudhuri KR, Jenner P. Non-motor features of Parkinson disease. Nat Rev Neurosci. 2017 Jul;18(7):435-450. doi: 10.1038/nrn.2017.62. Epub 2017 Jun 8.

    PMID: 28592904BACKGROUND
  • Pan-Montojo F, Anichtchik O, Dening Y, Knels L, Pursche S, Jung R, Jackson S, Gille G, Spillantini MG, Reichmann H, Funk RH. Progression of Parkinson's disease pathology is reproduced by intragastric administration of rotenone in mice. PLoS One. 2010 Jan 19;5(1):e8762. doi: 10.1371/journal.pone.0008762.

    PMID: 20098733BACKGROUND
  • Jankovic J. Parkinson's disease: clinical features and diagnosis. J Neurol Neurosurg Psychiatry. 2008 Apr;79(4):368-76. doi: 10.1136/jnnp.2007.131045.

    PMID: 18344392BACKGROUND
  • Pringsheim T, Jette N, Frolkis A, Steeves TD. The prevalence of Parkinson's disease: a systematic review and meta-analysis. Mov Disord. 2014 Nov;29(13):1583-90. doi: 10.1002/mds.25945. Epub 2014 Jun 28.

    PMID: 24976103BACKGROUND
  • Alves G, Forsaa EB, Pedersen KF, Dreetz Gjerstad M, Larsen JP. Epidemiology of Parkinson's disease. J Neurol. 2008 Sep;255 Suppl 5:18-32. doi: 10.1007/s00415-008-5004-3.

    PMID: 18787879BACKGROUND
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    PMID: 26782330BACKGROUND

Related Links

Study Officials

  • Mehmet C Yildirim

    The University of Nottingham

    STUDY DIRECTOR

Central Study Contacts

Study Design

Study Type
observational
Observational Model
OTHER
Time Perspective
CROSS SECTIONAL
Target Duration
1 Day
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor of Translational Physiology

Study Record Dates

First Submitted

June 1, 2025

First Posted

June 10, 2025

Study Start

June 1, 2025

Primary Completion (Estimated)

October 1, 2026

Study Completion (Estimated)

October 1, 2026

Last Updated

June 10, 2025

Record last verified: 2025-06

Data Sharing

IPD Sharing
Will not share

Locations