- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05167877
Aging, Mobility and Chronic Low Back Pain
Studying Aging, Mobility and Chronic Low Back Pain in Older Adults Using Remote Monitoring
Chronic low back pain (CLBP) is very common in older adults and is one of the most common reasons for disability and poor quality of life. Lack of physical activity is considered to negatively impact CLBP and show an inverse association with pain symptoms and limitations.
Remote and real-time monitoring can allow ecological momentary assessment which involves repeated sampling of participants' current behaviors and experiences in their natural environments. Recent advances allow monitoring of activity using inertial measurement units (consisting of accelerometers, gyroscopes and magnetometers) that can be worn by an individual at home or during work.
In our study, we plan to test the feasibility and acceptability of the wearable devices in elderly patients with CLBP and to explore the use of data analytics and machine learning on the recorded data, in order to demonstrate the feasibility of a larger cohort study.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Chronic low back pain (CLBP) is a common condition in elderly population. CLBP is associated with disability and poor quality of life worldwide. Studies have found that the lack of physical activity may negatively impact CLBP and show an inverse association with pain symptoms and limitations. For example, a study demonstrates that physically active patients with CLBP experience less pain [- 0.6, 95% confidence interval (CI): - 1.0 to - 0.1; 0-10 numerical pain scale] and disability (- 8.7, 95% CI: - 14.2 to - 3.1; 0-100 disability scale) compared to patients not adequately active. However, most reports are based on younger adults or using cross-sectional studies with no continuous or real-life monitoring.
Functionally, pain with movement is more important than resting pain. This is especially true of CLBP, which increases in severity with movement. Physical activity has health benefits, including for chronic pain conditions. However, many pain patients suffer from kinesiophobia and consider exercise to be unhelpful. There is uncertainty around exercise induced analgesia, as well as the type of activity in musculoskeletal pain. The present approach to pain recording, suffers from limitations including recall, and does not relate to associated physical activity. With this, the primary drivers of pain-sensory, psychological, and motor factors are studied in isolation. Additionally, objective markers of analgesia and neuroplasticity related to physical activity have not been well studied. There is a paradoxical relationship between physical activity to treat pain and participation in physical activity evoking pain. Most studies on movement evoked pain have been using paradigms of experimental movements which are not natural to patients, and do not consider the influence of contextual factors. Remote and real-time monitoring provides us possibility of measuring the subjects' real-time behaviors and experience. The wearable remote devices are developed to monitor activity and provide large data for various analyses.
The investigators will use an inertial measurement unit (IMU)-based device containing accelerometer, gyroscope and magnetometer worn on each ankle (like a watch) in the current study. The device is capable of measuring spatiotemporal gait parameters (such as asymmetry, variability, speed, stride time, stance to swing ratio, minimum foot clearance) along with type and amount of physical activity. The investigators will capture real-time pain intensity, type, and context of activity using an electronic diary in the form of a wristwatch. Data from both devices will be integrated for processing and analysis, including the use of machine learning and data analytics to develop predictive models. In the present proposal (the first phase), the investigators will use these devices on older adults with mobility (>65 years and <80 years) with (active group) or without CLBP (control group). In this phase, the investigators plan to complete the feasibility and acceptability of these devices and obtain pilot data to support the applications for the larger study funding. After the first phase, the investigators plan to conduct a larger cohort study in older adult CLBP patients using the study devices and applications at the participants' home/living settings.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Contact
- Name: Harsha Shanthanna, MD, PhD
- Phone Number: 33853 (+1) 905-522-1155
- Email: shanthh@mcmaster.ca
Study Locations
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Ontario
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Hamilton, Ontario, Canada, L8N 4A6
- St. Joseph's Healthcare Hamilton
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Age >65 and <80 years
- patients with present and known history of non-specific chronic low back pain (CLBP) will be included in the active group
- participants without CLBP will be included in the control group
- ability to comprehend or understand commands in English language
Exclusion Criteria:
- Presence of any unstable cardio-respiratory comorbidity such as congestive heart failure, severe coronary disease, severe chronic obstructive pulmonary disease, or asthma needing daily treatment with puffers
- known history of neurocognitive impairment
- known history of untreated or uncontrolled psychological disorders
- history of previous back surgery
- presence of moderate to severe knee, ankle, or foot pain, and other physical impairments needing walking assistance
- participants expected to receive a new medication treatment or injection for their CLBP during the study week
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
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Control group
Participants without CLBP.
Measurements include: bio-physiological, neurophysiological measurements at baseline.
Remote monitoring of gait, physical activity for 7 days using inertial measurement unit (IMU) with wearable devices.
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This is an observational feasibility study with no intervention.
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Active group
Participants with CLBP.
Measurements include: bio-physiological, neurophysiological measurements at baseline.
Remote monitoring of gait, physical activity for 7 days using inertial measurement unit (IMU) with wearable devices.
Self-reported measures of pain and type of activity for 7 days using electronic dairy.
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This is an observational feasibility study with no intervention.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Total time and patterns of wearing the study devices
Time Frame: 7 days
|
To assess the compliance of the wearable devices (MetaMotionS IMU to be worn on both of a participant's ankles), time and patterns (all the time, part of the time and when) of wearing them during the study period will be measured with consistent data capture by the devices.
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7 days
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System Usability Scale (SUS) (ranges from 0 to 100; a higher score indicates better acceptability)
Time Frame: On Day 7
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At the end of study, the SUS questionnaire will used to assess participants' acceptability of wearing of the study devices.
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On Day 7
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Back Performance Scale (BPS) (range from 0 to 15; a higher score indicates worse performance)
Time Frame: At baseline
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The association between BPS measured at baseline and chronic low back pain will be assessed.
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At baseline
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Self-paced walking test
Time Frame: At baseline
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Distance (unit: metres) completed in the self-paced two-minute walk test will be measured at baseline.
The association between this value and chronic low back pain will be assessed.
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At baseline
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Neurophysiological markers
Time Frame: At baseline
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The association between the neurophysiological markers measured from transcranial magnetic stimulation at baseline and chronic low back pain will be assessed.
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At baseline
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Gait and physical activity
Time Frame: 7 days
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The association between the physical activity measured using remote monitoring during the study period and chronic low back pain will be assessed.
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7 days
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Subgroups of chronic low back pain (CLBP)
Time Frame: 7 days
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All the collected data including the baseline variables and parameters measured with activity monitoring will be used to explore subgroups of CLBP using effective machine learning methods.
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7 days
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Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Harsha Shanthanna, MD, PhD, McMaster University
Publications and helpful links
General Publications
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- Deyo RA, Weinstein JN. Low back pain. N Engl J Med. 2001 Feb 1;344(5):363-70. doi: 10.1056/NEJM200102013440508. No abstract available.
- Deyo RA, Katrina Ramsey, Buckley DI, Michaels L, Kobus A, Eckstrom E, Forro V, Morris C. Performance of a Patient Reported Outcomes Measurement Information System (PROMIS) Short Form in Older Adults with Chronic Musculoskeletal Pain. Pain Med. 2016 Feb;17(2):314-24. doi: 10.1093/pm/pnv046.
- de Souza IMB, Sakaguchi TF, Yuan SLK, Matsutani LA, do Espirito-Santo AS, Pereira CAB, Marques AP. Prevalence of low back pain in the elderly population: a systematic review. Clinics (Sao Paulo). 2019 Oct 28;74:e789. doi: 10.6061/clinics/2019/e789. eCollection 2019.
- Wong AYL, Karppinen J, Samartzis D. Low back pain in older adults: risk factors, management options and future directions. Scoliosis Spinal Disord. 2017 Apr 18;12:14. doi: 10.1186/s13013-017-0121-3. eCollection 2017.
- Alsufiany MB, Lohman EB, Daher NS, Gang GR, Shallan AI, Jaber HM. Non-specific chronic low back pain and physical activity: A comparison of postural control and hip muscle isometric strength: A cross-sectional study. Medicine (Baltimore). 2020 Jan;99(5):e18544. doi: 10.1097/MD.0000000000018544.
- Pinto RZ, Ferreira PH, Kongsted A, Ferreira ML, Maher CG, Kent P. Self-reported moderate-to-vigorous leisure time physical activity predicts less pain and disability over 12 months in chronic and persistent low back pain. Eur J Pain. 2014 Sep;18(8):1190-8. doi: 10.1002/j.1532-2149.2014.00468.x. Epub 2014 Feb 27.
- Amorim AB, Pappas E, Simic M, Ferreira ML, Jennings M, Tiedemann A, Carvalho-E-Silva AP, Caputo E, Kongsted A, Ferreira PH. Integrating Mobile-health, health coaching, and physical activity to reduce the burden of chronic low back pain trial (IMPACT): a pilot randomised controlled trial. BMC Musculoskelet Disord. 2019 Feb 11;20(1):71. doi: 10.1186/s12891-019-2454-y.
- Corbett DB, Simon CB, Manini TM, George SZ, Riley JL 3rd, Fillingim RB. Movement-evoked pain: transforming the way we understand and measure pain. Pain. 2019 Apr;160(4):757-761. doi: 10.1097/j.pain.0000000000001431. No abstract available.
- Hodges PW, Smeets RJ. Interaction between pain, movement, and physical activity: short-term benefits, long-term consequences, and targets for treatment. Clin J Pain. 2015 Feb;31(2):97-107. doi: 10.1097/AJP.0000000000000098.
- Kosek E, Roos EM, Ageberg E, Nilsdotter A. Increased pain sensitivity but normal function of exercise induced analgesia in hip and knee osteoarthritis--treatment effects of neuromuscular exercise and total joint replacement. Osteoarthritis Cartilage. 2013 Sep;21(9):1299-307. doi: 10.1016/j.joca.2013.06.019.
- Thomas KS, Muir KR, Doherty M, Jones AC, O'Reilly SC, Bassey EJ. Home based exercise programme for knee pain and knee osteoarthritis: randomised controlled trial. BMJ. 2002 Oct 5;325(7367):752. doi: 10.1136/bmj.325.7367.752.
- Vincent HK, Seay AN, Montero C, Conrad BP, Hurley RW, Vincent KR. Kinesiophobia and fear-avoidance beliefs in overweight older adults with chronic low-back pain: relationship to walking endurance--part II. Am J Phys Med Rehabil. 2013 May;92(5):439-45. doi: 10.1097/PHM.0b013e318287633c.
- Holden MA, Nicholls EE, Young J, Hay EM, Foster NE. Role of exercise for knee pain: what do older adults in the community think? Arthritis Care Res (Hoboken). 2012 Oct;64(10):1554-64. doi: 10.1002/acr.21700.
- Nijs J, Kosek E, Van Oosterwijck J, Meeus M. Dysfunctional endogenous analgesia during exercise in patients with chronic pain: to exercise or not to exercise? Pain Physician. 2012 Jul;15(3 Suppl):ES205-13.
- Hurwitz EL, Morgenstern H, Chiao C. Effects of recreational physical activity and back exercises on low back pain and psychological distress: findings from the UCLA Low Back Pain Study. Am J Public Health. 2005 Oct;95(10):1817-24. doi: 10.2105/AJPH.2004.052993.
- Hoffman SL, Johnson MB, Zou D, Harris-Hayes M, Van Dillen LR. Effect of classification-specific treatment on lumbopelvic motion during hip rotation in people with low back pain. Man Ther. 2011 Aug;16(4):344-50. doi: 10.1016/j.math.2010.12.007. Epub 2011 Jan 20.
- Butera KA, Fox EJ, George SZ. Toward a Transformed Understanding: From Pain and Movement to Pain With Movement. Phys Ther. 2016 Oct;96(10):1503-1507. doi: 10.2522/ptj.20160211. No abstract available.
- Thibaut A, Zeng D, Caumo W, Liu J, Fregni F. Corticospinal excitability as a biomarker of myofascial pain syndrome. Pain Rep. 2017 Apr 18;2(3):e594. doi: 10.1097/PR9.0000000000000594. eCollection 2017 May.
- Chaves AR, Snow NJ, Alcock LR, Ploughman M. Probing the Brain-Body Connection Using Transcranial Magnetic Stimulation (TMS): Validating a Promising Tool to Provide Biomarkers of Neuroplasticity and Central Nervous System Function. Brain Sci. 2021 Mar 17;11(3):384. doi: 10.3390/brainsci11030384.
- Knell G, Gabriel KP, Businelle MS, Shuval K, Wetter DW, Kendzor DE. Ecological Momentary Assessment of Physical Activity: Validation Study. J Med Internet Res. 2017 Jul 18;19(7):e253. doi: 10.2196/jmir.7602.
- Majumder S, Mondal T, Deen MJ. A Simple, Low-Cost and Efficient Gait Analyzer for Wearable Healthcare Applications. IEEE Sensors Journal. 2019;19(6):2320-2329.
- Jin B, Thu TH, Baek E, Sakong S, Xiao J, Mondal T, Deen MJ. Walking-age analyzer for healthcare applications. IEEE J Biomed Health Inform. 2014 May;18(3):1034-42. doi: 10.1109/JBHI.2013.2296873.
- Bennett MI, Smith BH, Torrance N, Potter J. The S-LANSS score for identifying pain of predominantly neuropathic origin: validation for use in clinical and postal research. J Pain. 2005 Mar;6(3):149-58. doi: 10.1016/j.jpain.2004.11.007.
- Deyo RA, Dworkin SF, Amtmann D, Andersson G, Borenstein D, Carragee E, Carrino J, Chou R, Cook K, Delitto A, Goertz C, Khalsa P, Loeser J, Mackey S, Panagis J, Rainville J, Tosteson T, Turk D, Von Korff M, Weiner DK. Report of the NIH Task Force on research standards for chronic low back pain. Phys Ther. 2015 Feb;95(2):e1-e18. doi: 10.2522/ptj.2015.95.2.e1.
- Huang W, Rose AJ, Bayliss E, Baseman L, Butcher E, Garcia RE, Edelen MO. Adapting summary scores for the PROMIS-29 v2.0 for use among older adults with multiple chronic conditions. Qual Life Res. 2019 Jan;28(1):199-210. doi: 10.1007/s11136-018-1988-z. Epub 2018 Sep 12.
- Nicholas MK. The pain self-efficacy questionnaire: Taking pain into account. Eur J Pain. 2007 Feb;11(2):153-63. doi: 10.1016/j.ejpain.2005.12.008. Epub 2006 Jan 30.
- Davidson M, Keating JL. A comparison of five low back disability questionnaires: reliability and responsiveness. Phys Ther. 2002 Jan;82(1):8-24. doi: 10.1093/ptj/82.1.8.
- Strand LI, Moe-Nilssen R, Ljunggren AE. Back Performance Scale for the assessment of mobility-related activities in people with back pain. Phys Ther. 2002 Dec;82(12):1213-23.
- Kim E, Lovera J, Schaben L, Melara J, Bourdette D, Whitham R. Novel method for measurement of fatigue in multiple sclerosis: Real-Time Digital Fatigue Score. J Rehabil Res Dev. 2010;47(5):477-84. doi: 10.1682/jrrd.2009.09.0151.
- Keogh A, Dorn JF, Walsh L, Calvo F, Caulfield B. Comparing the Usability and Acceptability of Wearable Sensors Among Older Irish Adults in a Real-World Context: Observational Study. JMIR Mhealth Uhealth. 2020 Apr 20;8(4):e15704. doi: 10.2196/15704.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 21-011
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.
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