Association of dual task gait performance with cognitive outcomes among older adults: Piloting an inexpensive, portable assessment platform

References

• Bahureksa, L., Najafi, B., Saleh, A., Sabbagh, M., Coon, D., Mohler, M. J., & Schwenk, M. (2017). The impact of mild cognitive impairment on gait and balance: A systematic review and meta-analysis of studies using instrumented assessment. Gerontology, 63(1), 67–83. https://doi.org/10.1159/000445831
   PubMed Web of Science ®Google Scholar
• Beauchet, O., Launay, C. P., Sekhon, H., Barthelemy, J.-C., Roche, F., Chabot, J., Levinoff, E. J., & Allali, G. (2017). Association of increased gait variability while dual tasking and cognitive decline: Results from a prospective longitudinal cohort pilot study. GeroScience, 39(4), 439–445. https://doi.org/10.1007/s11357-017-9992-8
   PubMed Web of Science ®Google Scholar
• Cedervall, Y., Halvorsen, K., & Aberg, A. C. (2014). A longitudinal study of gait function and characteristics of gait disturbance in individuals with Alzheimer’s disease. Gait & Posture, 39(4), 1022–1027. https://doi.org/10.1016/j.gaitpost.2013.12.026
   PubMed Web of Science ®Google Scholar
• Chou, Y. H., That, V. T., & Sundman, M. (2020). A systematic review and meta-analysis of rTMS effects on cognitive enhancement in mild cognitive impairment and Alzheimer’s disease. Neurobiology of Aging, 86, 1–10. https://doi.org/10.1016/j.neurobiolaging.2019.08.020
   PubMed Web of Science ®Google Scholar
• Ciesielska, N., Sokołowski, R., Mazur, E., Podhorecka, M., Polak-Szabela, A., & Kędziora-Kornatowska, K. (2016). Is the Montreal Cognitive Assessment (MoCA) test better suited than the Mini-Mental State Examination (MMSE) in mild cognitive impairment (MCI) detection among people aged over 60? Meta-analysis. Psychiatria Polska, 50(5), 1039–1052. https://doi.org/10.12740/pp/45368
   PubMed Web of Science ®Google Scholar
• Cundiff, J. M., Lin, S. S. H., Faulk, R. D., & McDonough, I. M. (2022). Educational quality may be a closer correlate of cardiometabolic health than educational attainment. Scientific Reports, 12(1), 18105. https://doi.org/10.1038/s41598-022-22666-3
   PubMed Web of Science ®Google Scholar
• Dickerson, B. C., Stoub, T. R., Shah, R. C., Sperling, R. A., Killiany, R. J., Albert, M. S., Hyman, B. T., Blacker, D., & Detoledo-Morrell, L. (2011). Alzheimer-signature MRI biomarker predicts AD dementia in cognitively normal adults. Neurology, 76(16), 1395–1402. https://doi.org/10.1212/WNL.0b013e3182166e96
   PubMed Web of Science ®Google Scholar
• Duff, K., Beglinger, L. J., Theriault, D., Allison, J., & Paulsen, J. S. (2010). Cognitive deficits in Huntington’s disease on the repeatable battery for the assessment of neuropsychological status. Journal of Clinical and Experimental Neuropsychology, 32(3), 231–238. https://doi.org/10.1080/13803390902926184
   PubMed Web of Science ®Google Scholar
• Duff, K., Clark, H. J. D., O’Bryant, S. E., Mold, J. W., Schiffer, R. B., & Sutker, P. B. (2008). Utility of the RBANS in detecting cognitive impairment associated with Alzheimer’s disease: Sensitivity, specificity, and positive and negative predictive powers. Archives of Clinical Neuropsychology: The Official Journal of the National Academy of Neuropsychologists, 23(5), 603–612. https://doi.org/10.1016/j.acn.2008.06.004
   PubMed Web of Science ®Google Scholar
• Guess, T. M., Bliss, R., Hall, J. B., & Kiselica, A. M. (2022). Comparison of Azure Kinect overground gait spatiotemporal parameters to marker based optical motion capture. Gait & Posture, 96, 130–136. https://doi.org/10.1016/j.gaitpost.2022.05.021
   PubMed Web of Science ®Google Scholar
• Hall, J. B., Thomas, J. T., & Guess, T. M. (2023). Multi-dimensional assessment of age-related changes in gait and balance.
   Google Scholar
• Hoogendijk, E. O., Rijnhart, J. J. M., Skoog, J., Robitaille, A., van den Hout, A., Ferrucci, L., Huisman, M., Skoog, I., Piccinin, A. M., Hofer, S. M., & Muniz Terrera, G. (2020). Gait speed as predictor of transition into cognitive impairment: Findings from three longitudinal studies on aging. Experimental Gerontology, 129, 110783. https://doi.org/10.1016/j.exger.2019.110783
   PubMed Web of Science ®Google Scholar
• Huang, X., Zhao, X., Li, B., Cai, Y., Zhang, S., Wan, Q., & Yu, F. (2022). Comparative efficacy of various exercise interventions on cognitive function in patients with mild cognitive impairment or dementia: A systematic review and network meta-analysis. Journal of Sport and Health Science, 11(2), 212–223. https://doi.org/10.1016/j.jshs.2021.05.003
   PubMed Web of Science ®Google Scholar
• Jagust, W. J., Landau, S. M., Shaw, L. M., Trojanowski, J. Q., Koeppe, R. A., Reiman, E. M., Foster, N. L., Petersen, R. C., Weiner, M. W., Price, J. C., & Mathis, C. A, Alzheimer’s Disease Neuroimaging Initiative. (2009). Relationships between biomarkers in aging and dementia. Neurology, 73(15), 1193–1199. https://doi.org/10.1212/WNL.0b013e3181bc010c
   PubMed Web of Science ®Google Scholar
• Kawas, C. H., Corrada, M. M., & Whitmer, R. A. (2021). Diversity and disparities in dementia diagnosis and care: A challenge for all of us. JAMA Neurology, 78(6), 650–652. https://doi.org/10.1001/jamaneurol.2021.0285
   PubMed Web of Science ®Google Scholar
• Letang, S. K., Lin, S. S. H., Parmelee, P. A., & McDonough, I. M. (2021). Ethnoracial disparities in cognition are associated with multiple socioeconomic status-stress pathways. Cognitive Research: Principles and Implications, 6(1), 64. https://doi.org/10.1186/s41235-021-00329-7
   PubMed Web of Science ®Google Scholar
• Lin, S. S. H., Fletcher, E., & Gavett, B. E, Alzheimer’s Disease Neuroimaging Initiative. (2021). Reliable change in neuropsychological test scores is associated with brain atrophy in older adults. Journal of Neuropsychology, 15(2), 274–299. https://doi.org/10.1111/jnp.12226
   PubMed Web of Science ®Google Scholar
• Lin, S. S. H., & McDonough, I. M. (2022). Intra-individual cognitive variability in neuropsychological assessment: A sign of neural network dysfunction. Neuropsychology, Development, and Cognition. Section B, Aging, Neuropsychology and Cognition, 29(3), 375–399. https://doi.org/10.1080/13825585.2021.2021134
   PubMed Web of Science ®Google Scholar
• McDonough, A. L., Batavia, M., Chen, F. C., Kwon, S., & Ziai, J. (2001). The validity and reliability of the GAITRite system’s measurements: A preliminary evaluation. Archives of Physical Medicine and Rehabilitation, 82(3), 419–425. https://doi.org/10.1053/apmr.2001.19778
   PubMed Web of Science ®Google Scholar
• Montero-Odasso, M. M., Sarquis-Adamson, Y., Speechley, M., Borrie, M. J., Hachinski, V. C., Wells, J., Riccio, P. M., Schapira, M., Sejdic, E., Camicioli, R. M., Bartha, R., McIlroy, W. E., & Muir-Hunter, S. (2017). Association of dual-task gait with incident dementia in mild cognitive impairment: Results from the gait and brain study. JAMA Neurology, 74(7), 857–865. https://doi.org/10.1001/jamaneurol.2017.0643
   PubMed Web of Science ®Google Scholar
• Nasreddine, Z. S., Phillips, N. A., Bédirian, V., Charbonneau, S., Whitehead, V., Collin, I., Cummings, J. L., & Chertkow, H. (2005). The Montreal Cognitive Assessment, MoCA: A brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society, 53(4), 695–699. https://doi.org/10.1111/j.1532-5415.2005.53221.x
   PubMed Web of Science ®Google Scholar
• Peel, N. M., Alapatt, L. J., Jones, L. V., & Hubbard, R. E. (2019). The association between gait speed and cognitive status in community-dwelling older people: A systematic review and meta-analysis. Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 74(6), 943–948. https://doi.org/10.1093/gerona/gly140
   PubMed Web of Science ®Google Scholar
• Plummer, P., & Eskes, G. (2015). Measuring treatment effects on dual-task performance: A framework for research and clinical practice. Frontiers in Human Neuroscience, 9, 225. https://doi.org/10.3389/fnhum.2015.00225
   PubMed Web of Science ®Google Scholar
• Randolph, C., Tierney, M. C., Mohr, E., & Chase, T. N. (1998). The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS): Preliminary clinical validity. Journal of Clinical and Experimental Neuropsychology, 20(3), 310–319. https://doi.org/10.1076/jcen.20.3.310.823
   PubMed Web of Science ®Google Scholar
• Tabue-Teguo, M., Perès, K., Simo, N., Le Goff, M., Perez Zepeda, M. U., Féart, C., Dartigues, J.-F., Amieva, H., & Cesari, M. (2020). Gait speed and body mass index: Results from the AMI study. PloS One, 15(3), e0229979. https://doi.org/10.1371/journal.pone.0229979
   PubMed Web of Science ®Google Scholar
• Tan, Z. S. (2022). The dawn of disease modification for Alzheimer’s disease: Hope and peril. Journal of the American Geriatrics Society, 70(6), 1661–1663. https://doi.org/10.1111/jgs.17774
   PubMed Web of Science ®Google Scholar
• Thaler, N. S., Scott, J. G., Duff, K., Mold, J., & Adams, R. L. (2013). RBANS cluster profiles in a geriatric community-dwelling sample. Clinical Neuropsychologist, 27(5), 794–807. https://doi.org/10.1080/13854046.2013.783121
   PubMed Web of Science ®Google Scholar
• Thomas, J., Hall, J. B., Bliss, R., & Guess, T. M. (2022). Comparison of Azure Kinect and optical retroreflective motion capture for kinematic and spatiotemporal evaluation of the sit-to-stand test. Gait & Posture, 94, 153–159. https://doi.org/10.1016/j.gaitpost.2022.03.011
   PubMed Web of Science ®Google Scholar
• Toro, B., Nester, C., & Farren, P. (2003). A review of observational gait assessment in clinical practice. Physiotherapy Theory and Practice, 19(3), 137–149. https://doi.org/10.1080/09593980307964
   Google Scholar
• Woollacott, M., & Shumway-Cook, A. (2002). Attention and the control of posture and gait: A review of an emerging area of research. Gait & Posture, 16(1), 1–14. https://doi.org/10.1016/S0966-6362(01)00156-4
   PubMed Web of Science ®Google Scholar
• Yang, M., Wang, Y., Tian, C., Liu, H., Yang, Q., Hu, X., & Liu, W. (2023). Development and external validation of a gait test based diagnostic model for detecting mild cognitive impairment. Archives of Physical Medicine and Rehabilitation, 105(5), 930–938. https://doi.org/10.1016/j.apmr.2023.12.008
   PubMed Web of Science ®Google Scholar