Adriana Seelye1,2,3,4, Nora Mattek1,2, Nicole Sharma1,2, Phelps Witter1,2, Ariella Brenner1,2, Katherine Wild1,2, Hiroko Dodge1,2,5, Jeffrey Kaye1,2,6. 1. Department of Neurology, Oregon Health and Science University, Portland, OR, USA. 2. Oregon Center for Aging and Technology, Oregon Health and Science University, Portland, OR, USA. 3. Minneapolis Veterans Affairs Medical Center, Minneapolis, MN, USA. 4. Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA. 5. Department of Neurology, University of Michigan, Ann Arbor, MI, USA. 6. Department of Biomedical Engineering, Oregon Health and Science University, Portland, OR, USA.
Abstract
BACKGROUND: Driving is a key functional activity for many older adults, and changes in routine driving may be associated with emerging cognitive decline due to early neurodegenerative disease. Current methods for assessing driving such as self-report are inadequate for identifying and monitoring subtle changes in driving patterns that may be the earliest signals of functional change in developing mild cognitive impairment (MCI). OBJECTIVE: This proof of concept study aimed to establish the feasibility of continuous driving monitoring in a sample of cognitively normal and MCI older adults for an average of 206 days using an unobtrusive driving sensor and demonstrate that derived sensor-based driving metrics could effectively discriminate between MCI and cognitively intact groups. METHODS: Novel objective driving measures derived from 6 months of routine driving monitoring were examined in older adults with intact cognition (n = 21) and MCI (n = 7) who were enrolled in the Oregon Center for Aging and Technology (ORCATECH) longitudinal assessment program. RESULTS: Unobtrusive continuous monitoring of older adults' routine driving using a driving sensor was feasible and well accepted. MCI participants drove fewer miles and spent less time on the highway per day than cognitively intact participants. MCI drivers showed less day-to-day fluctuations in their driving habits than cognitively intact drivers. CONCLUSION: Sensor-based driving measures are objective, unobtrusive, and can be assessed every time a person drives his or her vehicle to identify clinically meaningful changes in daily driving. This novel methodology has the potential to be useful for the early detection and monitoring of changes in daily functioning within individuals.
BACKGROUND: Driving is a key functional activity for many older adults, and changes in routine driving may be associated with emerging cognitive decline due to early neurodegenerative disease. Current methods for assessing driving such as self-report are inadequate for identifying and monitoring subtle changes in driving patterns that may be the earliest signals of functional change in developing mild cognitive impairment (MCI). OBJECTIVE: This proof of concept study aimed to establish the feasibility of continuous driving monitoring in a sample of cognitively normal and MCI older adults for an average of 206 days using an unobtrusive driving sensor and demonstrate that derived sensor-based driving metrics could effectively discriminate between MCI and cognitively intact groups. METHODS: Novel objective driving measures derived from 6 months of routine driving monitoring were examined in older adults with intact cognition (n = 21) and MCI (n = 7) who were enrolled in the Oregon Center for Aging and Technology (ORCATECH) longitudinal assessment program. RESULTS: Unobtrusive continuous monitoring of older adults' routine driving using a driving sensor was feasible and well accepted. MCI participants drove fewer miles and spent less time on the highway per day than cognitively intact participants. MCI drivers showed less day-to-day fluctuations in their driving habits than cognitively intact drivers. CONCLUSION: Sensor-based driving measures are objective, unobtrusive, and can be assessed every time a person drives his or her vehicle to identify clinically meaningful changes in daily driving. This novel methodology has the potential to be useful for the early detection and monitoring of changes in daily functioning within individuals.
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Authors: Shawn C Marshall; Keith G Wilson; Malcolm Man-Son-Hing; Ian Stiell; Andrew Smith; Kelly Weegar; Yara Kadulina; Frank J Molnar Journal: Accid Anal Prev Date: 2013-04-10
Authors: Jeffrey Kaye; Nora Mattek; Hiroko H Dodge; Ian Campbell; Tamara Hayes; Daniel Austin; William Hatt; Katherine Wild; Holly Jimison; Michael Pavel Journal: Alzheimers Dement Date: 2013-05-18 Impact factor: 21.566
Authors: Ganesh M Babulal; Cindy M Traub; Mollie Webb; Sarah H Stout; Aaron Addison; David B Carr; Brian R Ott; John C Morris; Catherine M Roe Journal: F1000Res Date: 2016-09-26
Authors: Ganesh M Babulal; Sarah H Stout; Monique M Williams; Ganesh Rajasekar; Annie Harmon; Jonathon Vivoda; Megan Zuelsdorff; Tammie L S Benzinger; John C Morris; Beau Ances; Catherine M Roe Journal: J Racial Ethn Health Disparities Date: 2019-11-04
Authors: Catherine M Roe; Sarah H Stout; Ganesh Rajasekar; Beau M Ances; Jessica M Jones; Denise Head; Tammie L S Benzinger; Monique M Williams; Jennifer Duncan Davis; Brian R Ott; David K Warren; Ganesh M Babulal Journal: J Alzheimers Dis Date: 2019 Impact factor: 4.472
Authors: Katherine E Dorociak; Nora Mattek; John E Ferguson; Zachary T Beattie; Nicole Sharma; Jeffrey A Kaye; Mira I Leese; Bridget M Doane; Adriana M Hughes Journal: Alzheimer Dis Assoc Disord Date: 2021 Jul-Sep 01 Impact factor: 2.703
Authors: Zachary Beattie; Lyndsey M Miller; Carlos Almirola; Wan-Tai M Au-Yeung; Hannah Bernard; Kevin E Cosgrove; Hiroko H Dodge; Charlene J Gamboa; Ona Golonka; Sarah Gothard; Sam Harbison; Stephanie Irish; Judith Kornfeld; Jonathan Lee; Jennifer Marcoe; Nora C Mattek; Charlie Quinn; Christina Reynolds; Thomas Riley; Nathaniel Rodrigues; Nicole Sharma; Mary Alice Siqueland; Neil W Thomas; Timothy Truty; Rachel Wall; Katherine Wild; Chao-Yi Wu; Jason Karlawish; Nina B Silverberg; Lisa L Barnes; Sara Czaja; Lisa C Silbert; Jeffrey Kaye Journal: Digit Biomark Date: 2020-11-26
Authors: Chao-Yi Wu; Hiroko H Dodge; Sarah Gothard; Nora Mattek; Kirsten Wright; Lisa L Barnes; Lisa C Silbert; Miranda M Lim; Jeffrey A Kaye; Zachary Beattie Journal: J Gerontol A Biol Sci Med Sci Date: 2022-10-06 Impact factor: 6.591
Authors: Katherine Wild; Nicole Sharma; Nora Mattek; Jason Karlawish; Thomas Riley; Jeffrey Kaye Journal: J Med Internet Res Date: 2021-01-13 Impact factor: 5.428