NCT05167877

Brief Summary

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.

Trial Health

87
On Track

Trial Health Score

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

Enrollment
30

participants targeted

Target at below P25 for all trials

Timeline
Completed

Started Jan 2023

Geographic Reach
1 country

1 active site

Status
completed

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

First Submitted

Initial submission to the registry

November 15, 2021

Completed
1 month until next milestone

First Posted

Study publicly available on registry

December 22, 2021

Completed
1.1 years until next milestone

Study Start

First participant enrolled

January 15, 2023

Completed
1.1 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

February 14, 2024

Completed
10 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 15, 2024

Completed
Last Updated

June 4, 2026

Status Verified

March 1, 2024

Enrollment Period

1.1 years

First QC Date

November 15, 2021

Last Update Submit

June 2, 2026

Conditions

Keywords

Low Back PainChronicOlder AdultsMobilityRemote Monitoring

Outcome Measures

Primary Outcomes (2)

  • Total time and patterns of wearing the study devices

    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.

    7 days

  • System Usability Scale (SUS) (ranges from 0 to 100; a higher score indicates better acceptability)

    At the end of study, the SUS questionnaire will used to assess participants' acceptability of wearing of the study devices.

    On Day 7

Secondary Outcomes (5)

  • Back Performance Scale (BPS) (range from 0 to 15; a higher score indicates worse performance)

    At baseline

  • Self-paced walking test

    At baseline

  • Neurophysiological markers

    At baseline

  • Gait and physical activity

    7 days

  • Subgroups of chronic low back pain (CLBP)

    7 days

Study Arms (2)

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.

Other: No intervention will be given to the participants

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.

Other: No intervention will be given to the participants

Interventions

This is an observational feasibility study with no intervention.

Active groupControl group

Eligibility Criteria

Age65 Years - 80 Years
Sexall
Healthy VolunteersYes
Age GroupsOlder Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Elderly patients without chronic low back pain (CLBP) for control group, and elderly patients with CLBP for active group.

You may qualify if:

  • 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

You may not qualify if:

  • 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

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

St. Joseph's Healthcare Hamilton

Hamilton, Ontario, L8N 4A6, Canada

Location

Related Publications (31)

  • 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.

  • 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.

  • 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.

    RESULT
  • 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.

  • 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.

  • 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.

  • Dworkin RH, Turk DC, Farrar JT, Haythornthwaite JA, Jensen MP, Katz NP, Kerns RD, Stucki G, Allen RR, Bellamy N, Carr DB, Chandler J, Cowan P, Dionne R, Galer BS, Hertz S, Jadad AR, Kramer LD, Manning DC, Martin S, McCormick CG, McDermott MP, McGrath P, Quessy S, Rappaport BA, Robbins W, Robinson JP, Rothman M, Royal MA, Simon L, Stauffer JW, Stein W, Tollett J, Wernicke J, Witter J; IMMPACT. Core outcome measures for chronic pain clinical trials: IMMPACT recommendations. Pain. 2005 Jan;113(1-2):9-19. doi: 10.1016/j.pain.2004.09.012. No abstract available.

  • 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.

MeSH Terms

Conditions

Low Back PainChronic PainBronchiolitis Obliterans Syndrome

Condition Hierarchy (Ancestors)

Back PainPainNeurologic ManifestationsSigns and SymptomsPathological Conditions, Signs and SymptomsOrganizing PneumoniaBronchiolitis ObliteransBronchiolitisBronchitisBronchial DiseasesRespiratory Tract DiseasesLung Diseases, ObstructiveLung DiseasesGraft vs Host DiseaseImmune System Diseases

Study Officials

  • Harsha Shanthanna, MD, PhD

    McMaster University

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

November 15, 2021

First Posted

December 22, 2021

Study Start

January 15, 2023

Primary Completion

February 14, 2024

Study Completion

December 15, 2024

Last Updated

June 4, 2026

Record last verified: 2024-03

Data Sharing

IPD Sharing
Will not share

Locations