Fiabilidade e alteração mínima detetável dos acelerómetros de smartphones para a avaliação da estabilidade unipodal em adultos jovens

Autores

DOI:

https://doi.org/10.47197/retos.v78.118215

Palavras-chave:

Baseado em smartphone, acelerometria, estabilidade postural, equilíbrio, fiabilidade, alteração mínima detectável

Resumo

Introdução: Existe pouca investigação sobre acelerometria baseada em smartphones para avaliar a estabilidade em apoio unipodal durante atividades de dupla tarefa. Esta lacuna torna necessário estabelecer a fiabilidade e a menor alteração detetável (MDC).

Objectivo: Este estudo investigou a fiabilidade teste-reteste e a MDC da acelerometria do smartphone durante o apoio unipodal em diferentes posturas do pescoço e condições de superfície.

Metodologia: Trinta adultos jovens saudáveis ​​(18-25 anos) realizaram testes de apoio unipodal enquanto enviavam mensagens de texto. A aceleração do centro de massa (CoM) foi registada utilizando um iPhone 11 ao nível sagrado (S2) em quatro condições. As medições foram repetidas após um intervalo de 7 dias para calcular os coeficientes de correlação intraclasse (ICC3,1) e a MDC com 95% de confiança (MDC95).

Resultados: O dispositivo demonstrou uma fiabilidade de boa a excelente em todas as condições. A maior fiabilidade foi observada na condição de pescoço neutro/superfície rígida (ICC3,1 = 0,91–0,94), com um erro de medição baixo (MDC95 = 1,23–2,70 cm/s²). Por outro lado, a condição de pescoço fletido/superfície mole apresentou uma fiabilidade ligeiramente inferior (ICC3,1 = 0,87–0,90) e uma maior variabilidade, exigindo maiores alterações para significância estatística (MDC95 = 2,94–9,58 cm/s²). Especificamente, o MDC95 para a Aceleração Total aumentou de 2,71 cm/s² em condições estáveis ​​para 9,90 cm/s² em condições instáveis.

Conclusão: A acelerometria por smartphone é uma ferramenta fiável para avaliar a estabilidade postural em adultos jovens. Os valores de MDC estabelecidos fornecem referências importantes, destacando que tarefas desafiantes (por exemplo, superfícies macias) requerem valores de limiar mais elevados para detetar alterações clínicas reais no desempenho do equilíbrio.

Referências

Alqahtani, B. A., Sparto, P. J., Whitney, S. L., Greenspan, S. L., Perera, S., & Brach, J. S. (2020). Psychometric properties of instrumented postural sway measures recorded in community settings in independent living older adults. BMC Geriatr, 20(1), 82. https://doi.org/10.1186/s12877-020-1489-0

Ameer, M., Al Abbad, A., Khan, A., Alanazi, F., Alsakhri, A., Abdullhadi, G., Albilasi, M., Alrashed, M., & Ali, S. (2024). The Impact of Acute Whole-Body Vibration and Anthropometric Data on Single-Leg Standing Balance in Sedentary Females. International Journal of Human Movement and Sports Sciences, 12, 438-447. https://doi.org/10.13189/saj.2024.120218

Angyán, L., Téczely, T., & Angyán, Z. (2007). Factors affecting postural stability of healthy young adults. Acta physiologica Hungarica, 94, 289-299. https://doi.org/10.1556/APhysiol.94.2007.4.1

Beelen, P. E., Okhuijsen, R., Prins, M. R., Huurnink, A., Hordijk, T., Kruiswijk, C., Goedhart, E. A., van der Wurff, P., Nolte, P. A., van Dieën, J. H., & Kingma, I. (2021). Reliability of a novel dynamic test of postural stability in high-level soccer players. Heliyon, 7(4), e06647. https://doi.org/https://doi.org/10.1016/j.heliyon.2021.e06647

Borzì, L., Olmo, G., Artusi, C. A., Fabbri, M., Rizzone, M. G., Romagnolo, A., Zibetti, M., & Lopiano, L. (2020). A new index to assess turning quality and postural stability in patients with Parkinson's disease. Biomedical Signal Processing and Control, 62, 102059. https://doi.org/https://doi.org/10.1016/j.bspc.2020.102059

Boubaker, B., Amara, S., & Mkaouer, B. (2025). Postural balance and mental rotation in U-12 gymnasts: comparison with handball players and video gamers. Retos, 70, 769-787. https://doi.org/10.47197/retos.v70.114116

Ezzat, A., Elsayed, M., Atia, D., Tawfick, A., Shalaby, R., & Morsi, H. (2025). Investigating forward head posture and its influence on postural alignment among desk-based employeesInvestigación de la postura adelantada de la cabeza y su influencia en la alineación postural en empleados que trabajan en oficinasInvestigação da postura adelantada da cabeça e sua influência no alinhamento postural em colaboradores que trabalham em escritórios. Retos, 73, 1529-1545. https://doi.org/10.47197/retos.v73.117904

Frechette, M. L., Abou, L., Rice, L. A., & Sosnoff, J. J. (2020). The Validity, Reliability, and Sensitivity of a Smartphone-Based Seated Postural Control Assessment in Wheelchair Users: A Pilot Study [Original Research]. Frontiers in Sports and Active Living, 2. https://doi.org/10.3389/fspor.2020.540930

Fukaya, T., Mutsuzaki, H., & Mori, K. (2023). Sway and Acceleration Changes of the Center of Mass during Walking Stance Phase before and after Total Knee Arthroplasty. Geriatrics, 8(1), 2. https://www.mdpi.com/2308-3417/8/1/2

Gandawidura, R. G., & Ikeda, Y. (2024). Correlation analysis of balance and postural stability as a risk for falls in individuals with visual impairment. British Journal of Visual Impairment. https://doi.org/10.1177/02646196241226836

Gribble, P. A., Hertel, J., & Plisky, P. (2012). Using the Star Excursion Balance Test to assess dynamic postural-control deficits and outcomes in lower extremity injury: a literature and systematic review. J Athl Train, 47(3), 339-357. https://doi.org/10.4085/1062-6050-47.3.08

Grouios, G., Ziagkas, E., Loukovitis, A., Chatzinikolaou, K., & Koidou, E. (2023). Accelerometers in Our Pocket: Does Smartphone Accelerometer Technology Provide Accurate Data? Sensors, 23(1), 192. https://www.mdpi.com/1424-8220/23/1/192

Hilden, P., Schwartz, J. E., Pascual, C., Diaz, K. M., & Goldsmith, J. (2023). How many days are needed? Measurement reliability of wearable device data to assess physical activity. PloS one, 18(2), e0282162. https://doi.org/10.1371/journal.pone.0282162

Hou, Y. R., Chiu, Y. L., Chiang, S. L., Chen, H. Y., & Sung, W. H. (2018). Feasibility of a smartphone-based balance assessment system for subjects with chronic stroke. Comput Methods Programs Biomed, 161, 191-195. https://doi.org/10.1016/j.cmpb.2018.04.027

Landis, J. R., & Koch, G. G. (1977). The Measurement of Observer Agreement for Categorical Data. Biometrics, 33(1), 159-174. https://doi.org/10.2307/2529310

Lanzarin, M., Parizzoto, P., De, T., Libardoni, C., Sinhorim, L., Morgana, G., Tavares, G., Gilmar, M., & Santos, G. (2015). The influence of dual-tasking on postural control in young adults. 22, 61-68.

Mademli, L., Mavridi, D., Bohm, S., Patikas, D. A., Santuz, A., & Arampatzis, A. (2021). Standing on unstable surface challenges postural control of tracking tasks and modulates neuromuscular adjustments specific to task complexity. Scientific Reports, 11(1), 6122. https://doi.org/10.1038/s41598-021-84899-y

Mohd Safee, M. K., & Abu Osman, N. A. (2023). Relationship between postural stability and fall risk in young adult after lower limb muscle fatigue. Healthcare in Low-resource Settings, 11. https://doi.org/10.4081/hls.2023.11182

Muñoz-Albarrán, P., Castro-Perez, J., S. Mancilla, C., Martinez, D., Quiroz-Sandoval, G., Cheuquel-Jara, O., & Saez Duran, H. (2025). Dual task training in older adults with Parkinson’s Disease: a systematic review. Retos, 70, 546-560. https://doi.org/10.47197/retos.v70.114975

Neville, C., Ludlow, C., & Rieger, B. (2015). Measuring postural stability with an inertial sensor: validity and sensitivity. Med Devices (Auckl), 8, 447-455. https://doi.org/10.2147/mder.S91719

Nurwulan, N., Jiang, B., & Iridiastadi, H. (2015). Posture and Texting: Effect on Balance in Young Adults. PloS one, 10, e0134230. https://doi.org/10.1371/journal.pone.0134230

Olsen, S., Rashid, U., Allerby, C., Brown, E., Leyser, M., McDonnell, G., Alder, G., Barbado, D., Shaikh, N., Lord, S., Niazi, I. K., & Taylor, D. (2023). Smartphone-based gait and balance accelerometry is sensitive to age and correlates with clinical and kinematic data. Gait Posture, 100, 57-64. https://doi.org/10.1016/j.gaitpost.2022.11.014

Onofrei, R. R., & Amaricai, E. (2022). Postural Balance in Relation with Vision and Physical Activity in Healthy Young Adults. International Journal of Environmental Research and Public Health, 19(9), 5021. https://www.mdpi.com/1660-4601/19/9/5021

Onofrei, R. R., Amaricai, E., Suciu, O., David, V. L., Rata, A. L., & Hogea, E. (2020). Smartphone Use and Postural Balance in Healthy Young Adults. Int J Environ Res Public Health, 17(9). https://doi.org/10.3390/ijerph17093307

Onuma, R., Hoshi, F., Tozawa, R., Soutome, Y., Sakai, T., & Jinno, T. (2023). Reliability and validity of quantitative evaluation of anticipatory postural adjustments using smartphones. Journal of Physical Therapy Science, 35(7), 553-558. https://doi.org/10.1589/jpts.35.553

Panjan, A., & Sarabon, N. (2010). Review of Methods for the Evaluation of Human Body Balance. Sport Science Review, XIX. https://doi.org/10.2478/v10237-011-0036-5

Pinho, A. S., Salazar, A. P., Hennig, E. M., Spessato, B. C., Domingo, A., & Pagnussat, A. S. (2019). Can We Rely on Mobile Devices and Other Gadgets to Assess the Postural Balance of Healthy Individuals? A Systematic Review. Sensors, 19(13), 2972. https://www.mdpi.com/1424-8220/19/13/2972

Prat-Luri, A., Moreno-Navarro, P., Carpena, C., Manca, A., Deriu, F., Barbado, D., & Vera-Garcia, F. J. (2023). Smartphone accelerometry for quantifying core stability and developing exercise training progressions in people with multiple sclerosis. Multiple Sclerosis and Related Disorders, 72, 104618. https://doi.org/https://doi.org/10.1016/j.msard.2023.104618

Quijoux, F., Nicolaï, A., Chairi, I., Bargiotas, I., Ricard, D., Yelnik, A., Oudre, L., Bertin-Hugault, F., Vidal, P. P., Vayatis, N., Buffat, S., & Audiffren, J. (2021). A review of center of pressure (COP) variables to quantify standing balance in elderly people: Algorithms and open-access code. Physiol Rep, 9(22), e15067. https://doi.org/10.14814/phy2.15067

Rodrigues, L. A., Santos, E. G. R., Santos, P. S. A., Igarashi, Y., Oliveira, L. K. R., Pinto, G. H. L., Santos Lobato, B. L., Cabral, A. S., Belgamo, A., Costa e Silva, A. A., Callegari, B., & Souza, G. S. (2022). Wearable Devices and Smartphone Inertial Sensors for Static Balance Assessment: A Concurrent Validity Study in Young Adult Population. Journal of Personalized Medicine, 12(7), 1019. https://www.mdpi.com/2075-4426/12/7/1019

Roeing, K. L., Hsieh, K. L., & Sosnoff, J. J. (2017). A systematic review of balance and fall risk assessments with mobile phone technology. Archives of Gerontology and Geriatrics, 73, 222-226. https://doi.org/https://doi.org/10.1016/j.archger.2017.08.002

Sevillano-Castaño, A. I., Peroy-Badal, R., Torres-Castro, R., Cañuelo-Márquez, A. M., Rozalén-Bustín, M., Modrego-Navarro, Á., De Sousa-De Sousa, L., Ramos-Álvarez, J. J., Maté-Muñoz, J. L., & García-Fernández, P. (2023). Test–Retest Reliability and Minimal Detectable Change in Chester Step Test and 1-Minute Sit-to-Stand Test in Long COVID Patients. Applied Sciences, 13(14), 8464. https://www.mdpi.com/2076-3417/13/14/8464

Suresh, K. (2011). An overview of randomization techniques: An unbiased assessment of outcome in clinical research. J Hum Reprod Sci, 4(1), 8-11. https://doi.org/10.4103/0974-1208.82352

Tapanya, W., Maharan, S., Amput, P., Sangkarit, N., & Suwannakul, B. (2023). The Influence of Knee Extensor and Ankle Plantar Flexor Strength on Single-Leg Standing Balance in Older Women. Journal of Functional Morphology and Kinesiology, 8(2), 67. https://www.mdpi.com/2411-5142/8/2/67

Tapanya, W., Puntumetakul, R., Swangnetr Neubert, M., & Boucaut, R. (2021). Influence of neck flexion angle on gravitational moment and neck muscle activity when using a smartphone while standing. Ergonomics, 64(7), 900-911. https://doi.org/10.1080/00140139.2021.1873423

Thelen, M., Mazumder, F., Zhu, L., Tang, C., & Miller, N. S. (2022). Reliability Test of Mobile Embedded Accelerometers in Measuring Postural Stability for People With Parkinson’s Disease. ASME 2022 International Mechanical Engineering Congress and Exposition,

Tivadar, B. K., & Kotnik, P. (2024). Dynamic Single-Leg Balance Tests of Physiotherapy Students: A Comparison of Body-Active Weight Shift Test and Two Sudden Disturbance Tests. Open Access Macedonian Journal of Medical Sciences, 12(2), 322-329. https://doi.org/doi:10.3889/oamjms.2024.11896

Van Humbeeck, N., Kliegl, R., & Krampe, R. T. (2023). Lifespan changes in postural control. Sci Rep, 13(1), 541. https://doi.org/10.1038/s41598-022-26934-0

Wang, W., Xiao, Y., Yue, S., Wei, N., & Li, K. (2019). Analysis of center of mass acceleration and muscle activation in hemiplegic paralysis during quiet standing. PloS one, 14(12), e0226944. https://doi.org/10.1371/journal.pone.0226944

Xie, Y., Szeto, G. P., Dai, J., & Madeleine, P. (2016). A comparison of muscle activity in using touchscreen smartphone among young people with and without chronic neck-shoulder pain. Ergonomics, 59(1), 61-72. https://doi.org/10.1080/00140139.2015.1056237

Yoong, N. K. M., Perring, J., & Mobbs, R. J. (2019). Commercial Postural Devices: A Review. Sensors, 19(23), 5128. https://www.mdpi.com/1424-8220/19/23/5128

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Publicado

01-05-2026

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Artigos de caráter científico: trabalhos de pesquisas básicas e/ou aplicadas.

Como Citar

Sangkarit, N., Tapanya, W., & Konsanit, S. (2026). Fiabilidade e alteração mínima detetável dos acelerómetros de smartphones para a avaliação da estabilidade unipodal em adultos jovens. Retos, 78, 305-318. https://doi.org/10.47197/retos.v78.118215