Motor reaction time in type 2 diabetes: an integrative review of the literature

Authors

DOI:

https://doi.org/10.33448/rsd-v10i10.19243

Keywords:

Reaction time; Diabetes mellitus; Type 2 diabetes mellitus.

Abstract

High blood glucose levels results in deleterious effects to the the peripheral nervous system, causing sensory and motor damage. Neuromotor reaction time (RT) measurements are a sensitive indicator of functional impairment in different populations. The aim of the present study was to identify and analyze national and international literature on the impact of diabetes mellitus 2 (DM2) over RT measurements and the main mechanisms for such correlation. This integrative review was conducted by ressarching the LILACS, BIREME, SCOPUS, Cochrane and Pubmed databases in July 2020 and August 2020. In the end, 14 articles were selected, all in English. The results show that the TR in DM2 cases associated with neuropathy was higher than expected when compared to other populations. Therefore, the RT measurement is a viable alternative in the diagnosis of DM2-associated neurological disorders, due do its sensitivity to changes in the velocity of nerve impulse conduction, slowed down in DM-2 associated neuropathy. RT assessments can be employed as diagnostic and screening measures when dealing with these patients, with emphasis on preventing severe outcomes such as ulcers and amputations. Future studies should investigate possible instrumental and methodological standardization, in addition to the validation of a national product that explores RT in the Brazilian population.                                                                    

References

Almeida-Pititto, B. de, Almada Filho, C. de M., & Cendoroglo, M. S. (2008). Déficit cognitivo: mais uma complicação do diabetes melito? . In Arquivos Brasileiros de Endocrinologia & Metabologia (Vol. 52, pp. 1076–1083). scielo .

American Diabetes Association. (2012). Diagnosis and Classification of Diabetes Mellitus. Diabetes Care, 35(Supplement_1), S64–S71. https://doi.org/10.2337/dc12-s064

Botelho, L. L. R., de Almeida Cunha, C. C., & Macedo, M. (2011). O método da revisão integrativa nos estudos organizacionais. Gestão e sociedade, 5(11), 121-136.

Ceriello, A., Monnier, L., & Owens, D. (2019). Glycaemic variability in diabetes: clinical and therapeutic implications. The Lancet. Diabetes & Endocrinology, 7(3), 221–230. https://doi.org/10.1016/S2213-8587(18)30136-0

Crocetta, T. B., Liz, C. M. de, & Andrade, A. (2014). Características dos softwares de tempo de reação para mensurar respostas motoras: revisão sistemática. Revista Mineira de Educação Física, 22(3 SE-), 20–51. https://periodicos.ufv.br/revminef/article/view/10039

Dobrzański, T., & Rychta, T. (1968). Studies on the time of simple reaction and selective reaction in diabetes and in schizophrenia. Polish Medical Journal, 7(2), 442–448.

Gilchrist, M., Winyard, P. G., Fulford, J., Anning, C., Shore, A. C., & Benjamin, N. (2014). Dietary nitrate supplementation improves reaction time in type 2 diabetes: Development and application of a novel nitrate-depleted beetroot juice placebo. Nitric Oxide - Biology and Chemistry, 40, 67–74. https://doi.org/10.1016/j.niox.2014.05.003

Inceu, G. V., & Veresiu, I. A. (2015). Measurement of current perception thresholds using the Neurometer(®) - applicability in diabetic neuropathy. Clujul Medical (1957), 88(4), 449–452. https://doi.org/10.15386/cjmed-491

Khode, V., Sindhur, J., Ramdurg, S., Ruikar, K., & Nallulwar, S. (2015). Chronoscopic reading in whole body reaction times can be a tool in detecting cognitive dysfunction in type 2 diabetics: A case control study. JMS - Journal of Medical Society, 29(2), 69–73. https://doi.org/10.4103/0972-4958.163188

Kirkman, M. S., Briscoe, V. J., Clark, N., Florez, H., Haas, L. B., Halter, J. B., Huang, E. S., Korytkowski, M. T., Munshi, M. N., Odegard, P. S., Pratley, R. E., & Swift, C. S. (2012). Diabetes in older adults. Diabetes Care, 35(12), 2650–2664. https://doi.org/10.2337/dc12-1801

Kour, H., Kothiwale, V. A., & Goudar, S. S. (2019). Effects of the six months of programmed exercise therapy on cardio-respiratory endurance and neurophysiological variables in asymptomatic young adults diagnosed newly with type 2 diabetes mellitus – a randomized controlled trial. Indian Journal of Physiology and Pharmacology, 63(4), 283–293.

Ma, S., Zhang, J., Zeng, X., Wu, C., Zhao, G., Lv, C., & Sun, X. (2020). Type 2 diabetes can undermine driving performance of middle-aged male drivers through its deterioration of perceptual and cognitive functions. Accident Analysis & Prevention, 134, 105334. https://doi.org/https://doi.org/10.1016/j.aap.2019.105334

Meyr, A. J., & Spiess, K. E. (2017). Diabetic Driving Studies-Part 1: Brake Response Time in Diabetic Drivers With Lower Extremity Neuropathy. The Journal of Foot and Ankle Surgery : Official Publication of the American College of Foot and Ankle Surgeons, 56(3), 568–572. https://doi.org/10.1053/j.jfas.2017.01.042

Ministério da Saúde do Brasil. (2020). Vigitel Brasil 2019: principais resultados. Boletim Epidemiológico, 51(16), 20–26.

Moheet, A., Mangia, S., & Seaquist, E. R. (2015). Impact of diabetes on cognitive function and brain structure. Annals of the New York Academy of Sciences, 1353, 60–71. https://doi.org/10.1111/nyas.12807

Muhil, M. (2014). Study of Auditory, Visual Reaction Time and Glycemic Control ( H BA 1 C ) in Chronic Type I I Diabetes Mellitus. Journal Of Clinical And Diagnostic Research, 134(November 2019), 105334. https://doi.org/10.7860/JCDR/2014/8906.4865

Mungal, S. U., Dube, S., & Kulkarni, M. B. (2015). Comparative study of audiovisual reaction time in patients with type 2 diabetes mellitus and in normal subjects. National Journal of Physiology, Pharmacy and Pharmacology, 5(1), 54–55. https://doi.org/10.5455/njppp.2015.5.300720141

Pageaux, B., & Lepers, R. (2018). The effects of mental fatigue on sport-related performance. Progress in Brain Research, 240, 291–315. https://doi.org/10.1016/bs.pbr.2018.10.004

Redondo, M. T., Beltrán-Brotóns, J. L., Reales, J. M., & Ballesteros, S. (2016). Executive functions in patients with Alzheimer’s disease, type 2 diabetes mellitus patients and cognitively healthy older adults. Experimental Gerontology, 83, 47–55. https://doi.org/10.1016/j.exger.2016.07.013

Richardson, J. K., Eckner, J. T., Allet, L., Kim, H., & Ashton-Miller, J. A. (2017). Complex and Simple Clinical Reaction Times Are Associated with Gait, Balance, and Major Fall Injury in Older Subjects with Diabetic Peripheral Neuropathy. American Journal of Physical Medicine and Rehabilitation, 96(1), 8–16. https://doi.org/10.1097/PHM.0000000000000604

Richerson, S. J., Robinson, C. J., & Shum, J. (2005). A comparative study of reaction times between type II diabetics and non-diabetics. Biomedical Engineering Online, 4, 12. https://doi.org/10.1186/1475-925X-4-12

Ryan, C. M., van Duinkerken, E., & Rosano, C. (2016). Neurocognitive consequences of diabetes. The American Psychologist, 71(7), 563–576. https://doi.org/10.1037/a0040455

Sanchez-Marin, F. J., & Padilla-Medina, J. A. (2010). Simple reaction times and performance in the detection of visual stimuli of patients with diabetes. Computers in Biology and Medicine, 40(6), 591–596. https://doi.org/10.1016/j.compbiomed.2010.04.003

Sansosti, L. E., Spiess, K. E., & Meyr, A. J. (2017). Diabetic Driving Studies-Part 3: A Comparison of Mean Brake Response Time Between Neuropathic Diabetic Drivers With and Without Foot Pathology. The Journal of Foot and Ankle Surgery : Official Publication of the American College of Foot and Ankle Surgeons, 56(3), 577–580. https://doi.org/10.1053/j.jfas.2017.01.044

Sociedade Brasileira de Diabetes, Sociedade Brasileira de Patologia Clínica, & Sociedade Brasileira de Endocrinologia e Metabologia. (2017). Atualização sobre Hemoglobina Glicada (A1C) para Avaliação do Controle Glicêmico e para o Diagnóstico do Diabetes: Aspectos clínicos e Laboratoriais. In Posicionamento Oficial SBD, SBPC-ML, SBEM e FENAD 2017/2018. https://doi.org/10.1590/S1676-24442009000100007

Spiess, K. E., Sansosti, L. E., & Meyr, A. J. (2017). Diabetic Driving Studies-Part 2: A Comparison of Brake Response Time Between Drivers With Diabetes With and Without Lower Extremity Sensorimotor Neuropathy. The Journal of Foot and Ankle Surgery : Official Publication of the American College of Foot and Ankle Surgeons, 56(3), 573–576. https://doi.org/10.1053/j.jfas.2017.01.043

Whitehead, B. P., Dixon, R. A., Hultsch, D. F., & MacDonald, S. W. S. (2011). Are neurocognitive speed and inconsistency similarly affected in type 2 diabetes? Journal of Clinical and Experimental Neuropsychology, 33(6), 647–657. https://doi.org/10.1080/13803395.2010.547845

World Health Organization. (n.d.). HEARTS D: diagnosis and management of type 2 diabetes. World Health Organization. https://apps.who.int/iris/handle/10665/331710

World Health Organization. (2016). Global report on diabetes. World Health Organization. https://apps.who.int/iris/handle/10665/204871

World Health Organization. (2019). Classification of diabetes mellitus. World Health Organization. https://apps.who.int/iris/handle/10665/325182

World Health Organization, & International Diabetes Federal. (n.d.). Definition and diagnosis of diabetes mellitus and intermediate hyperglycaemia : report of a WHO/IDF consultation. World Health Organization. https://apps.who.int/iris/handle/10665/43588

Published

17/08/2021

How to Cite

GERVÁSIO, F. M. .; VELOSO, A. H. N. .; BRITO, L. R. de A. .; FARIAS, A. B. de .; OLIVEIRA, F. B. de . Motor reaction time in type 2 diabetes: an integrative review of the literature. Research, Society and Development, [S. l.], v. 10, n. 10, p. e528101019243, 2021. DOI: 10.33448/rsd-v10i10.19243. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/19243. Acesso em: 18 oct. 2021.

Issue

Section

Health Sciences