Algorithm Validation for Quantifying ActiGraph™ Physical Activity Metrics in Individuals with Chronic Low Back Pain and Healthy Controls
Abstract
:1. Introduction
2. Materials and Methods
2.1. Algorithm Development
2.2. Participants
2.3. Free-Living Validation
2.4. Data Processing and Analysis
3. Results
3.1. Participant Demographics
3.2. Free-Living Validation
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Hartvigsen, J.; Hancock, M.J.; Kongsted, A.; Louw, Q.; Ferreira, M.L.; Genevay, S.; Hoy, D.; Karppinen, J.; Pransky, G.; Sieper, J.; et al. What low back pain is and why we need to pay attention. Lancet 2018, 391, 2356–2367. [Google Scholar] [CrossRef]
- Vos, T.; Allen, C.; Arora, M.; Barber, R.M.; Bhutta, Z.A.; Brown, A.; Carter, A.; Casey, D.C.; Charlson, F.J.; Chen, A.Z.; et al. Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990–2015 2015: A systematic analysis for the Global Burden of Disease Study 2015. Lancet 2016, 388, 1545–1602. [Google Scholar] [CrossRef] [PubMed]
- World Health Organization. Musculoskeletal health. Available online: https://www.who.int/news-room/fact-sheets/detail/musculoskeletal-conditions#:~:text=Low%20back%20pain%20is%20the,7.4%25%20of%20global%20YLDs (accessed on 3 November 2023).
- Rubin, D.I. Epidemiology and Risk Factors for Spine Pain. Neurol. Clin. 2007, 25, 353–371. [Google Scholar] [CrossRef] [PubMed]
- Hurwitz, E.L.; 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, 95, 1817–1824. [Google Scholar] [CrossRef] [PubMed]
- Pinto, R.Z.; Ferreira, P.H.; Kongsted, A.; Ferreira, M.L.; Maher, C.G.; 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, 18, 1190–1198. [Google Scholar] [CrossRef] [PubMed]
- Darlow, B.; Perry, M.; Dean, S.; Mathieson, F.; Baxter, G.D.; Dowell, A. Putting Physical Activity While Experiencing Low Back Pain in Context: Balancing the Risks and Benefits. Arch. Phys. Med. Rehabil. 2016, 97, 245–251.e7. [Google Scholar] [CrossRef] [PubMed]
- Alzahrani, H.; Mackey, M.; Stamatakis, E.; Zadro, J.R.; Shirley, D. The association between physical activity and low back pain: A systematic review and meta-analysis of observational studies. Sci. Rep. 2019, 9, 8244. [Google Scholar] [CrossRef] [PubMed]
- Heneweer, H.; Vanhees, L.; Picavet, H.S.J. Physical activity and low back pain: A U-shaped relation? Pain 2009, 143, 21–25. [Google Scholar] [CrossRef] [PubMed]
- Deyo, R.A.; Dworkin, S.F.; Amtmann, D.; Andersson, G.; Borenstein, D.; Carragee, E.; Carrino, J.; Chou, R.; Cook, K.; DeLitto, A.; et al. Report of the NIH Task Force on Research Standards for Chronic Low Back Pain. J. Pain 2014, 15, 569–585. [Google Scholar] [CrossRef]
- Burton, A.K. How to prevent low back pain. Best Pract. Res. Clin. Rheumatol. 2005, 19, 541–555. [Google Scholar] [CrossRef] [PubMed]
- Gordon, R.; Bloxham, S. A Systematic Review of the Effects of Exercise and Physical Activity on Non-Specific Chronic Low Back Pain. Healthcare 2016, 4, 22. [Google Scholar] [CrossRef]
- Alqhtani, R.S.; Ahmed, H.; Ghulam, H.S.H.; Alyami, A.M.; Al Sharyah, Y.H.H.; Ahmed, R.; Khan, A.; Khan, A.R. Efficacy of Core-Strengthening and Intensive Dynamic Back Exercises on Pain, Core Muscle Endurance, and Functional Disability in Patients with Chronic Non-Specific Low Back Pain: A Randomized Comparative Study. J. Clin. Med. 2024, 13, 475. [Google Scholar] [CrossRef] [PubMed]
- Alkhathami, K.; Alshehre, Y.; Brizzolara, K.; Weber, M.; Wang-Price, S. Effectiveness of Spinal Stabilization Exercises on Movement Performance in Adults with Chronic Low Back Pain. Int. J. Sports Phys. Ther. 2023, 18, 169–172. [Google Scholar] [CrossRef] [PubMed]
- Kremer, E.F.; Block, A.; Gaylor, M.S. Behavioral approaches to treatment of chronic pain: The inaccuracy of patient self-report measures. Arch. Phys. Med. Rehabil. 1981, 62, 188–191. [Google Scholar]
- Kelly, L.A.; McMillan, D.G.E.; Anderson, A.; Fippinger, M.; Fillerup, G.; Rider, J. Validity of actigraphs uniaxial and triaxial accelerometers for assessment of physical activity in adults in laboratory conditions. BMC Med. Phys. 2013, 13, 5. [Google Scholar] [CrossRef]
- Colbert, L.H.; Matthews, C.E.; Havighurst, T.C.; Kim, K.; Schoeller, D.A. Comparative validity of physical activity measures in older adults. Med. Sci. Sports Exerc. 2011, 43, 867–876. [Google Scholar] [CrossRef]
- Neishabouri, A.; Nguyen, J.; Samuelsson, J.; Guthrie, T.; Biggs, M.; Wyatt, J.; Cross, D.; Karas, M.; Migueles, J.H.; Khan, S.; et al. Quantification of acceleration as activity counts in ActiGraph wearable. Sci. Rep. 2022, 12, 11958. [Google Scholar] [CrossRef]
- Freedson, P.S.; Melanson, E.; Sirard, J. Calibration of the Computer Science and Applications, Inc. accelerometer. Med. Sci. Sports Exerc. 1998, 30, 777–781. [Google Scholar] [CrossRef] [PubMed]
- Berger, M.; Bertrand, A.M.; Robert, T.; Cheze, L. Measuring objective physical activity in people with chronic low back pain using accelerometers: A scoping review. Front. Sports Act Living 2023, 5, 1236143. [Google Scholar] [CrossRef]
- Migueles, J.H.; Cadenas-Sanchez, C.; Ekelund, U.; Delisle Nyström, C.; Mora-Gonzalez, J.; Löf, M.; Labayen, I.; Ruiz, J.R.; Ortega, F.B. Accelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Review and Practical Considerations. Sports Med. 2017, 47, 1821–1845. [Google Scholar] [CrossRef] [PubMed]
- Brønd, J.C.; Andersen, L.B.; Arvidsson, D. Generating ActiGraph Counts from Raw Acceleration Recorded by an Alternative Monitor. Med. Sci. Sports Exerc. 2017, 49, 2351–2360. [Google Scholar] [CrossRef] [PubMed]
- Syed, S.; Muschelli, J. ActiGraph-ActiWave-Analysis/Algorithms/Non_Wear_Time/Troiano_2007.py. p Public Domain Repository for Shaheen Syed. Available online: https://github.com/ (accessed on 14 March 2022).
- Troiano, R.P.; Berrigan, D.; Dodd, K.W.; Masse, L.C.; Tilert, T.; McDowell, M. Physical activity in the United States measured by accelerometer. Med. Sci. Sports Exerc. 2008, 40, 181–188. [Google Scholar] [CrossRef] [PubMed]
- Choi, L.; Liu, Z.; Matthews, C.E.; Buchowski, M.S. Validation of accelerometer wear and nonwear time classification algorithm. Med. Sci. Sports Exerc. 2011, 43, 357–364. [Google Scholar] [CrossRef] [PubMed]
- ActiGraph. What is the Difference between the Wear Time Validation Algorithms? Available online: https://actigraphcorp.my.site.com/support/s/article/What-is-the-difference-between-the-Wear-Time-Validation-algorithms (accessed on 3 November 2023).
- Dunson, A.; Hoydick, J. [EXTERNAL] NEW CHATBOT LEAD: [email protected] [00177502]. Hoydick, J., Ed.; 2022.
- Peach, D.; Van Hoomissen, J.; Callender, H.L. Exploring the ActiLife(®) filtration algorithm: Converting raw acceleration data to counts. Physiol. Meas. 2014, 35, 2359–2367. [Google Scholar] [CrossRef] [PubMed]
- Rao, Z.; Albinali, F. From Raw Acceleration Data to Activity Count: 2790 Board #313 June 3, 9: 30 AM-11: 00 AM. Med. Sci. Sports Exerc. 2016, 48, 786. [Google Scholar] [CrossRef]
Condition | Gender | Average Age (Years ± SD) |
---|---|---|
cLBP | Females: N = 10 Males: N = 2 | 41.9 ± 16.8 |
Healthy | Females: N = 8 Males: N = 4 | 42.4 ± 16.5 |
Total | Females: N = 18 Males: N = 6 | 42.2 ± 16.3 |
ActiLife™ | MATLAB | Error (%) | Healthy Error (%) | cLBP Error (%) | |
---|---|---|---|---|---|
Total y-Axis Activity Counts | 1,849,697.0 | 1,849,615.5 | 0.00 | 0.00 | 0.01 |
Total Vector Magnitude Counts | 3,486,535.2 | 3,494,540.1 | 0.23 | 0.31 | 0.15 |
Total Step Counts | 49,850.3 | 49,884.9 | 0.07 | 0.09 | 0.05 |
Total Minutes in Sedentary | 3573.4 | 3616.8 | 1.21 | 1.31 | 1.11 |
Total Minutes in Light | 1629.8 | 1629.8 | 0.00 | 0.01 | 0.01 |
Total Minutes in Moderate | 225.8 | 225.4 | 0.18 | 0.08 | 0.40 |
Total Minutes in Vigorous | 17.0 | 17.0 | 0.24 | 0.56 | 0.00 |
Total Minutes in Very Vigorous | 0.2 | 0.2 | 0.00 | 0.00 | 0.00 |
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Hoydick, J.F.; Johnson, M.E.; Cook, H.A.; Alfikri, Z.F.; Jakicic, J.M.; Piva, S.R.; Chambers, A.J.; Bell, K.M. Algorithm Validation for Quantifying ActiGraph™ Physical Activity Metrics in Individuals with Chronic Low Back Pain and Healthy Controls. Sensors 2024, 24, 5323. https://doi.org/10.3390/s24165323
Hoydick JF, Johnson ME, Cook HA, Alfikri ZF, Jakicic JM, Piva SR, Chambers AJ, Bell KM. Algorithm Validation for Quantifying ActiGraph™ Physical Activity Metrics in Individuals with Chronic Low Back Pain and Healthy Controls. Sensors. 2024; 24(16):5323. https://doi.org/10.3390/s24165323
Chicago/Turabian StyleHoydick, Jordan F., Marit E. Johnson, Harold A. Cook, Zakiy F. Alfikri, John M. Jakicic, Sara R. Piva, April J. Chambers, and Kevin M. Bell. 2024. "Algorithm Validation for Quantifying ActiGraph™ Physical Activity Metrics in Individuals with Chronic Low Back Pain and Healthy Controls" Sensors 24, no. 16: 5323. https://doi.org/10.3390/s24165323