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Journal Details
License
Format
Journal
First Published
06 Apr 2009
Publication timeframe
1 time per year
Languages
English
access type Open Access

A modified digital functional reach test device using an ultrasonic sensor for balance assessment: A test of validity and reliability

Published Online: 05 Oct 2021
Page range: -
Received: 07 Jun 2021
Accepted: 22 Jul 2021
Journal Details
License
Format
Journal
First Published
06 Apr 2009
Publication timeframe
1 time per year
Languages
English
Abstract

Study aim: Evaluation of dynamic balance is inferred to be compulsory for fall prevention in the elderly. Therefore, this study aimed to develop a modified digital functional reach test device using an ultrasonic sensor for balance assessment and to test validity and reliability of the newly developed tool to qualify psychometric properties.

Material and methods: This study was a cross-sectional study of a convenient sample including 50 participants both males and females. Mean age of the participants was 51.20 ± 19.30 years. Reliability of the newly developed device was analysed using the intraclass correlation coefficient (ICC) and standard error of measurement (SEM). The criterion validity was also investigated using a yardstick mounted on the wall at a level of shoulder together with the MaxTraq® 2D motion analysis software. The modified digital functional reach test device using an ultrasonic sensor was correlated with the conventional FRT and the MaxTraq® 2D motion analysis.

Results: The results presented that test-retest reliability of the modified digital functional reach test device was good reliability (ICC = 0.76) and low standard error of measurement (1.41) was found for test-retest reliability. The degree of agreement between the modified device, the conventional FRT, and the MaxTraq® 2D motion analysis was high (r = 0.71 and 0.77 respectively).

Conclusions: The findings suggested that the modified digital functional reach test device using an ultrasonic sensor was a valid and reliable instrument for fall risk screening towards functional reach distance.

Keywords

1. Allen B., Derveloy R., Lowry K., Handley H., Fell N., Gasior W., Yu G., Sartipi M. (2013) Evaluation of fall risk for post-stroke patients using bluetooth low-energy wireless sensor. IEEE Global Communications Conference (GLOBECOM), 2598-2603.Search in Google Scholar

2. Behrman A.L., Light K.E., Flynn S.M., Thigpen M.T. (2002) Is the functional reach test useful for identifying falls risk among individuals with Parkinson’s disease? Arch. Phys. Med. Rehabil., 83(4): 538-542. DOI: 10.1053/apmr.2002.30934.Search in Google Scholar

3. Bohannon R.W., Wolfson L.I., White W.B. (2017) Functional reach of older adults: normative reference values based on new and published data. Physiotherapy, 103(4): 387-391. DOI: 10.1016/j.physio.2017.03.006.Search in Google Scholar

4. Bouaziz W., Lang P.O., Schmitt E., Kaltenbach G., Geny B., Vogel T. (2016) Health benefits of multicomponent training programmes in seniors: a systematic review. Int. J. Clin. Pract., 70(7): 520-536. DOI: 10.1111/ijcp.12822.Search in Google Scholar

5. Cohen J. (1988) Statistical power analysis (2nd ed.). Routledge, New York. DOI: 10.4324/9780203771587.Search in Google Scholar

6. Danielsen A., Olofsen H., Bremdal B.A. (2016) Increasing fall risk awareness using wearables: a fall risk awareness protocol. J. Biomed. Inform., 63: 184-194. DOI: 10.1016/j.jbi.2016.08.016.Search in Google Scholar

7. Deshpande N., Metter E.J., Ferrucci L. (2011) Sensory-motor and psychosocial correlates of adaptive locomotor performance in older adults. Arch. Phys. Med. Rehabil., 92(7): 1074-1079. DOI:10.1016/j.apmr.2011.02.006.Search in Google Scholar

8. Duncan P.W., Weiner D.K., Chandler J., Studenski S. (1990) Functional reach: a new clinical measure of balance. J. Gerontol., 45(6): 192-197. DOI: 10.1093/geronj/45.6.m192.Search in Google Scholar

9. Freeman J., Fox E., Gear M., Hough A. (2012) Pilates based core stability training in ambulant individuals with multiple sclerosis: protocol for a multi-centre ran-domised controlled trial. BMC Neurol., 5: 12-19. DOI: 10.1186/1471-2377-12-19.Search in Google Scholar

10. Guirguis-Blake J.M., Michael Y.L., Perdue L.A., Coppola E.L., Beil T.L. (2018) Interventions to prevent falls in older adults updated evidence report and systematic review for the US preventive services task force. JAMA, 319(16):1705-1716. DOI:10.1001/jama.2017.21962.Search in Google Scholar

11. Hahn M.E., Chou L.S. (2003) Can motion of individual body segments identify dynamic instability in the elderly? Clin. Biomech. (Bristol, Avon), 18(8): 737-744. DOI: 10.1016/s0268-0033(03)00139-6.Search in Google Scholar

12. Han J., Anson J., Waddington G., Adams R., Liu Y. (2015) The role of ankle proprioception for balance control in relation to sports performance and injury. Biomed. Res. Int., 2015: 842804. DOI: 10.1155/2015/842804.Search in Google Scholar

13. Koo T.K., Li M.Y. (2016) A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J. Chiropr. Med., 15(2): 155-163. DOI: 10.1016/j.jcm.2016.02.012.Search in Google Scholar

14. Matheson G.J. (2019) We need to talk about reliability: making better use of test-retest studies for study design and interpretation. PeerJ., 7: e6918. DOI: 10.7717/peerj.6918.Search in Google Scholar

15. Merchán-Baeza J.A., González-Sánchez M., Cuesta-Vargas A.I. (2014) Reliability in the parameterization of the functional reach test in elderly stroke patients: a pilot study. Biomed. Res. Int., 2014, Article ID 637671, 8 pages. DOI: 10.1155/2014/637671.Search in Google Scholar

16. Okonkwo O.C., Griffith H.R., Copeland J.N., Belue K., Lanza S., Zamrini E.Y., Harrell L.E., Brockington J.C., Clark D., Raman R., Marson D.C. (2008) Medical decision-making capacity in mild cognitive impairment: a 3-year longitudinal study. Neurology, 71(19): 1474-1480. DOI: 10.1212/01.wnl.0000334301.32358.48.Search in Google Scholar

17. Panda K.G., Agrawal D., Nshimiyimana A., Hossain A. (2016) Effects of environment on accuracy of ultrasonic sensor operates in millimetre range. Perspect. Sci., 8: 574-576. DOI: 10.1016/j.pisc.2016.06.024.Search in Google Scholar

18. Rosa M.V., Perracini M.R., Ricci N.A. (2019) Usefulness, assessment and normative data of the functional reach test in older adults: a systematic review and meta-analysis. Arch. Gerontol. Geriatr., 81:149-170. DOI: 10.1016/j.archger.2018.11.015.Search in Google Scholar

19. Scena S., Steindler R., Ceci M., Zuccaro S.M., Carmeli E. (2016) Computerized functional reach test to measure balance stability in elderly patients with neurological disorders. J. Clin. Med. Res., 8(10): 715-720. DOI: 10.14740/jocmr2652w.Search in Google Scholar

20. Thomas J.I., Lane J.V. (2005) A pilot study to explore the predictive validity of 4 measures of falls risk in frail elderly patients. Arch. Phys. Med. Rehabil., 86(8): 1636-1640. DOI: 10.1016/j.apmr.2005.03.004.Search in Google Scholar

21. Williams B., Allen B., Hu Z., True H., Cho J., Harris A., Fell N., Sartipi M. (2017) Real-time fall risk assessment using functional reach test. Int. J. Telemed. Appl., 2017: 2042974. DOI: 10.1155/2017/2042974.Search in Google Scholar

22. Wongke T., Awikunprasert P., Awikunprasert C. (2017) Digital height meter using ultrasonic sensor. J. Assoc. Med. Sci., 50(3): 435-441.Search in Google Scholar

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