The Impact of Age, Sex, and Position on Visual-Motor Processing Speed and Reaction Time as Measured by the Vision Coach^TM

References

• Administration on Aging. (2021). Administration for community living: 2020 profile of older Americans. US Department of Health and Human Services, Administration on Aging.
   Google Scholar
• Aksan, N., Anderson, S. W., Dawson, J., Uc, E., & Rizzo, M. (2015). Cognitive functioning differentially predicts different dimensions of older drivers’ on-road safety. Accident; Analysis and Prevention, 75, 236–244. https://doi.org/10.1016/j.aap.2014.12.007
   PubMed Web of Science ®Google Scholar
• Anderson, S. W., Aksan, N., Dawson, J. D., Uc, E. Y., Johnson, A. M., & Rizzo, M. (2012). Neuropsychological assessment of driving safety risk in older adults with and without neurologic disease. Journal of Clinical and Experimental Neuropsychology, 34(9), 895–905. [doi] https://doi.org/10.1080/13803395.2011.630654
   PubMed Web of Science ®Google Scholar
• Anstey, K. J., Horswill, M. S., Wood, J. M., & Hatherly, C. (2012). The role of cognitive and visual abilities as predictors in the multifactorial model of driving safety. Accident; Analysis and Prevention, 45, 766–774. https://doi.org/10.1016/j.aap.2011.10.006
   PubMed Web of Science ®Google Scholar
• Brooks, J., Seeanner, J., Hennessy, S., Manganelli, J., Crisler, M., Rosopa, P., Jenkins, C., Anderson, M., Drouin, N., Belle, L., Truesdail, C., & Tanner, S. (2017). Interactive tools for measuring visual scanning performance and reaction time. The American Journal of Occupational Therapy, 71(2), 7102350010p1–20102350020p6. https://doi.org/10.5014/ajot.2017.020461
   PubMed Web of Science ®Google Scholar
• Brown, L. A., Sleik, R. J., & Winder, T. R. (2002). Attentional demands for static postural control after stroke. Archives of Physical Medicine and Rehabilitation, 83(12), 1732–1735. https://doi.org/10.1053/apmr.2002.36400
   PubMed Web of Science ®Google Scholar
• Centers of Medicare and Medicaid Services. (2015). IMPACT act of 2014 & cross setting measures. https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/Post-Acute-Care-Quality-Initiatives/IMPACT-Act-of-2014-and-Cross-Setting-Measures.html
   Google Scholar
• Classen, S., Dickerson, A., & Justiss, M. D. (2012). Occupational therapy driving evaluation: Using evidence-based screening and assessment tools. In M. J. McGuire, & E. S. Davis (Eds.), Driving and community mobility: Occupational therapy across the lifespan (pp. 221–277). American Occupational Therapy Association, Inc.
   Google Scholar
• Classen, S., Wang, Y., Crizzle, A. M., Winter, S. M., & Lanford, D. N. (2013). Predicting older driver on-road performance by means of the useful field of view and Trail Making Test Part B. The American Journal of Occupational Therapy, 67(5), 574–582. https://doi.org/10.5014/ajot.2013.008136
   PubMed Web of Science ®Google Scholar
• Classen, S., Monahan, M., Auten, B., & Yarney, A. (2014). Evidence-based review of interventions for medically at-risk older drivers. The American Journal of Occupational Therapy, 68(4), e107–e114. https://doi.org/10.5014/ajot.2014.010975
   PubMedGoogle Scholar
• Crotty, M., & George, S. (2009). Retraining visual processing skills to improve driving ability after stroke. Archives of Physical Medicine and Rehabilitation, 90(12), 2096–2102. https://doi.org/10.1016/j.apmr.2009.08.143
   PubMed Web of Science ®Google Scholar
• D’Ambrosio, L. A., Coughlin, J. F., Pratt, M. R., & Mohyde, M. (2012). The continuing and growing importance of mobility. In J. F. Coughlin & L. A. D’Ambrosio (Eds.), Aging America and transportation: Personal choices and public policy (pp. 1–26). Springer Publishing Co.
   Google Scholar
• Dellinger, A. (2012). Describing the older adult population. In J. F. Coughlin & L. A. D’Ambrosio (Eds.), Aging America and transportation: Personal choices and public policy (pp. 27–38). Springer Publishing Co.
   Google Scholar
• Dickerson, A. E. (2013). Driving assessment tools used by driver rehabilitation specialists: Survey of use and implications for practice. The American Journal of Occupational Therapy, 67(5), 564–573. https://doi.org/10.5014/ajot.2013.007823
   PubMed Web of Science ®Google Scholar
• Dickerson, A. E. (2014). Screening and assessment tools for determining fitness to drive: A review of the literature for the pathways project. Occupational Therapy in Health Care, 28(2), 82–121. https://doi.org/10.3109/07380577.2014.904535
   PubMedGoogle Scholar
• Dickerson, A. E. (2020). Driving and community mobility. In M. E. R. Scaffa, S.M. (Ed.), Occupational therapy in community-based practice settings (3rd ed., pp. 394–418). F. A. Davis.
   Google Scholar
• Dickerson, A. E., & Bédard, M. (2014). Decision tool for clients with medical issues: A framework for identifying driving risk and potential to return to driving. Occupational Therapy in Health Care, 28(2), 194–202. https://doi.org/10.3109/07380577.2014.903357
   PubMedGoogle Scholar
• Dickerson, A. E., Schold Davis, E., & Carr, D. B. (2019). Distinguishing driving evaluation and services for older adults. Geriatrics, 3(2), 25. https://doi.org/10.3390/geriatrics3020025
   Google Scholar
• Dickerson, A. E., Meuel, D. B., Ridenour, C. D., & Cooper, K. (2014). Assessment tools predicting fitness to drive in older adults: A systematic review. The American Journal of Occupational Therapy, 68(6), 670–680. https://doi.org/10.5014/ajot.2014.011833
   PubMed Web of Science ®Google Scholar
• Dickerson, A. E., Molnar, L., Bedard, M., Eby, D. W., Classen, S., & Polgar, J. (2019). Transportation and aging: An updated research agenda for advancing safe mobility. Journal of Applied Gerontology, 38(12), 1643–1660. https://doi.org/10.1177/0733464817739154
   PubMed Web of Science ®Google Scholar
• Dickerson, A. E., Molnar, L. J., Bédard, M., Eby, D. W., Berg-Weger, M., Choi, M., Grigg, J., Horowitz, A., Meuser, T., Myers, A., O’Connor, M., & Silverstein, N. M. (2019). Transportation and aging: An updated research agenda for advancing safe mobility among older adults transitioning from driving to non-driving. The Gerontologist, 59(2), 215–221. https://doi.org/10.1093/geront/gnx120
   PubMed Web of Science ®Google Scholar
• Dickerson, A. E., Reistetter, T. A., Burhans, S., & Apple, K. (2016). Typical brake reaction times across the life span. Occupational Therapy in Health Care, 30(2), 115–123. https://doi.org/10.3109/07380577.2015.1059971
   PubMed Web of Science ®Google Scholar
• Dickerson, A. E., Reistetter, T., & Gaudy, J. (2013). The perception of meaningfulness and performance of instrumental activities of daily living from the perspectives of the medically at-risk older adults and their caregivers. Journal of Applied Gerontology, 32(6), 749–764. https://doi.org/10.1177/0733464811432455
   PubMed Web of Science ®Google Scholar
• Donley, R. (2012). A comparison of the VISION COACH and DynaVision D2. http://www.visioncoachtrainer.com/why-vision-coach.html
   Google Scholar
• Doucet, B. M. (2014). Quantifying function: Status critical. The American Journal of Occupational Therapy, 68(2), 123–126. https://doi.org/10.5014/ajot.2014.010991
   PubMed Web of Science ®Google Scholar
• Doucet, B. M., & Gutman, S. A. (2013). Quantifying function: The rest of the measurement story. The American Journal of Occupational Therapy, 67(1), 7–9. https://doi.org/10.5014/ajot.2013.007096
   PubMed Web of Science ®Google Scholar
• Dynavision™. (2010). A new vision of rehabilitation recovering cognitive abilities with Dynavision ™. https://Dynavision™international.com/wpInt/wp-content/uploads/2014/09/Therapy-Times-6.15.10.pdf
   Google Scholar
• Fazeli, P. L., Ross, L. A., Vance, D. E., & Ball, K. (2013). The relationship between computer experience and computerized cognitive test performance among older adults. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 68(3), 337–346. https://doi.org/10.1093/geronb/gbs071
   PubMed Web of Science ®Google Scholar
• Friedman, C., McGwin, G., Jr., Ball, K. K., & Owsley, C. (2013). Association between higher order visual processing abilities and a history of motor vehicle collision involvement by drivers ages 70 and over. Investigative Opthalmology & Visual Science, 54(1), 778–782. [doi] https://doi.org/10.1167/iovs.12-11249
   PubMed Web of Science ®Google Scholar
• Fuermaier, A. B. M., Piersma, D., Huntjens, R. J. C., de Waard, D., Westermann, C., Bossert, M., Lange, K. W., Weisbrod, M., Bruggeman, R., Aschenbrenner, S., & Tucha, O. (2019). Simulated car driving and its association with cognitive abilities in patients with schizophrenia. Schizophrenia Research, 204, 171–177. https://doi.org/10.1016/j.schres.2018.09.005
   PubMed Web of Science ®Google Scholar
• Gillen, G. (2013). A fork in the road: An occupational hazard? American Journal of Occupational Therapy, 67(6), 641–652. https://doi.org/10.5014/ajot.2013.676002
   PubMed Web of Science ®Google Scholar
• Hegberg, A. (2012). Use of adaptive equipment to compensate for impairments in motor performance skills and client factors. In M. J. McGuire & E. Schold Davis (Eds.), Driving and community mobility: Occupational therapy strategies across the lifespan (pp. 279–319). Bethesda, MD: AOTA Publishing.
   Google Scholar
• Hong, J., Kim, J.-W., Chung, H.-Y., Kim, H.-H., Kwon, Y., Kim, C.-S., Ho, Y.-J., Eom, G.-M., Jun, J.-H., & Park, B. K. (2014). Age–sex differences in the reaction times of ankle muscles. Geriatrics & Gerontology International, 14(1), 94–99. https://doi.org/10.1111/ggi.12063
   PubMed Web of Science ®Google Scholar
• Hotta, R., Makizako, H., Doi, T., Tsutsumimoto, K., Nakakubo, S., Makino, K., & Shimada, H. (2018). Cognitive function and unsafe driving acts during an on-road test among community-dwelling older adults with cognitive impairments. Geriatrics & Gerontology International, 18(6), 847–852. https://doi.org/10.1111/ggi.13260
   PubMed Web of Science ®Google Scholar
• Improving Medicare Post-Acute Care Transformation Act of 2014 (the IMPACT Act), (2014). https://www.gpo.gov/fdsys/pkg/BILLS-113hr4994enr/pdf/BILLS-113hr4994enr.pdf
   Google Scholar
• Jain, A., Bansal, R., Kumar, A., & Singh, K. D. (2015). A comparative study of visual and auditory reaction times on the basis of sex and physical activity levels of medical first year students. International Journal of Applied & Basic Medical Research, 5(2), 124–127. https://doi.org/10.4103/2229-516X.157168/
   PubMedGoogle Scholar
• Klavora, P., Gaskovski, P., & Forsyth, R. (1994). Test-retest reliability of the Dynavision apparatus. Perceptual and Motor Skills, 79(1 Pt 2), 448–450. PMID: 7808882 https://doi.org/10.2466/pms.1994.79.1.448
   PubMed Web of Science ®Google Scholar
• Klavora, P., Gaskovski, P., Martin, K., Forsyth, R. D., Heslegrave, R. J., Young, M., & Quinn, R. P. (1995). The effects of Dynavison rehabilitation on behind-the-wheel driving ability and selected psychomotor abililties of persons after stroke. The American Journal of Occupational Therapy, 49(6), 534–542. https://doi.org/10.5014/ajot.49.6.534
   PubMed Web of Science ®Google Scholar
• Lajoie, Y., Teasdale, N., Bard, C., & Fleury, M. (1996). Upright standing and gait: Are there changes in attentional requirements related to normal aging? Experimental Aging Research, 22(2), 185–198. https://doi.org/10.1080/03610739608254006
   PubMed Web of Science ®Google Scholar
• Matas, N. A., Nettelbeck, T., & Burns, N. R. (2014). Cognitive and visual predictors of UFOV performance in older adults. Accident; Analysis and Prevention, 70, 74–83. https://doi.org/10.1016/j.aap.2014.03.011
   PubMed Web of Science ®Google Scholar
• Morrow, S. A., Classen, S., Monahan, M., Danter, T., Taylor, R., Krasniuk, S., Rosehart, H., & He, W. (2018). On-road assessment of fitness-to-drive in persons with MS with cognitive impairment: A prospective study. Multiple Sclerosis (Houndmills, Basingstoke, England), 24(11), 1499–1506. https://doi.org/10.1177/1352458517723991
   PubMed Web of Science ®Google Scholar
• Pomidor, A. (2019). Clinician’s guide to assessing and counseling older drivers (4th ed.). American Geriatrics Society (AGS).
   Google Scholar
• Roivainen, E. (2011). Sex differences in processing speed: A review of recent research. Learning and Individual Differences, 21(2), 145–149. https://doi.org/10.1016/j.lindif.2010.11.021
   Web of Science ®Google Scholar
• Rosenbloom, S. (2012). The travel and mobility needs of older persons now and in the future. In J. D. A. Coughlin, L. (Ed.), Aging America and transportation (pp. 39–54). Springer Publishing.
   Google Scholar
• Ross, L. A., Edwards, J. D., O’Connor, M. L., Ball, K. K., Wadley, V. G., & Vance, D. E. (2016). The transfer of cognitive speed of processing training to older adults’ driving mobility across 5 years. The Journals of Gerontology Series B, Psychological Sciences and Social Sciences, 71(1), 87–97. https://doi.org/10.1093/geronb/gbv022
   PubMed Web of Science ®Google Scholar
• Schold Davis, E., & Dickerson, A. E. (2017). OT-DRIVE: Integrating the IADL of driving and community mobility into routine practice. OT Practice, 22, 8–14.
   Google Scholar
• Seong-Youl, C., Jae-Shin, L., & A-Young, S. (2014). Cognitive test to forecast unsafe driving in older drivers: Meta-analysis. NeuroRehabilitation, 35(4), 771–778. https://doi.org/10.3233/NRE-141170
   PubMed Web of Science ®Google Scholar
• Shimada, H., Hotta, R., Makizako, H., Doi, T., Tsutsumimoto, K., Nakakubo, S., & Makino, K. (2019). Effects of driving skill training on safe driving in older adults with mild cognitive impairment. Gerontology, 65(1), 90–97. https://doi.org/10.1159/000487759
   PubMed Web of Science ®Google Scholar
• Swick, K. (2014). Four reasons to use green lights as D2 option. http://dynavisioninternational.com/four-reasons-use-green-lights-d2-option/
   Google Scholar
• Thomas, F. D., Dickerson, A. E., Blomberg, R. D., Graham, L. A., Wright, T. J., Finstad, K. A., & Romoser, M. E. (2018). Older drivers and navigation devices (DOT HS xxx xxx). National Highway Traffic Safety Administration.
   Google Scholar
• Tombaugh, T. N. (2004). Trail making test A and B: Normative data stratified by age and education. Archives of Clinical Neuropsychology, 19(2), 203–214. https://doi.org/10.1016/S0887-6177(03)00039-8
   PubMed Web of Science ®Google Scholar
• Vision Coach. (2012). Vision coach interactive light board. Retrieved on 10 Feb 2023 from www.visioncoachtrainer.com
   Google Scholar
• Wadley, V. G., Bull, T. P., Zhang, Y., Barba, C., Bryan, R. N., Crowe, M., Desiderio, L., Deutsch, G., Erus, G., Geldmacher, D. S., Go, R., Lassen-Greene, C. L., Mamaeva, O. A., Marson, D. C., McLaughlin, M., Nasrallah, I. M., Owsley, C., Passler, J., Perry, R. T., … Kennedy, R. E. (2021). Cognitive processing speed is strongly related to driving skills, financial abilities, and other iInstrumental activities of daily living in persons with mild cognitive impairment and mild dementia. The Journals of Gerontology Series A, Biological Sciences and Medical Sciences, 76(10), 1829–1838. https://doi.org/10.1093/gerona/glaa312
   PubMed Web of Science ®Google Scholar
• Wells, A. J., Hoffman, J. R., Beyer, K. S., Jajtner, A. R., Gonzalez, A. M., Townsend, J. R., Mangine, G. T., Robinson, E. H., McCormack, W. P., Fragala, M. S., & Stout, J. R. (2014). Reliability of the Dynavision™ D2 for assessing reaction time performance. Journal of Sports Science & Medicine, 13(1), 145–150. https://pubmed.ncbi.nlm.nih.gov/24570618
   PubMed Web of Science ®Google Scholar
• Xi, Y., Rosopa, P. J., Mossey, M., Crisler, M. C., Drouin, N., Kopera, K., & Brooks, J. O. (2014). The reliability of a vision coach task as a measure of psychomotor skills. Occupational Therapy in Health Care, 28, 1–11. https://doi.org/10.3109/07380577.2014.941051
   PubMedGoogle Scholar