Objectives: Processing speed is essential to functional independence in later life, such as driving a vehicle. Few studies have examined processing speed and driving mobility in the context of racial differences and social determinants of health (SDoH). This study characterized the longitudinal association between processing speed and driving mobility, and how it varied by race and SDoH. Methods: Using data from the control arm of the Advanced Cognitive Training in Vital Elderly study (n = 581, 24.5% Black), multilevel models examined longitudinal associations between processing speed and driving mobility outcomes (driving space, exposure, and difficulty). Race and SDoH moderations were explored. Results: Decline in processing speed measures was associated with increased self-reported driving difficulty, but only for older adults with below-average to average scores for neighborhood and built environments and social community context SDoH domains. Discussion: Findings emphasize the influence of physical and social environmental characteristics on processing speed and driving mobility.
AlvidrezJ.CastilleD.Laude-SharpM.RosarioA.TaborD. (2019). The national institute on minority health and health disparities research framework. American Journal of Public Health, 109(S1), S16–S20. https://doi.org/10.2105/ajph.2018.304883
2.
AnsteyK. J.WoodJ. (2011). Chronological age and age-related cognitive deficits are associated with an increase in multiple types of driving errors in late life. Neuropsychology, 25(5), 613–621. https://doi.org/10.1037/a0023835
3.
AschenbrennerA. J.MurphyS. A.DohertyJ. M.JohnsonA. M.BayatS.WalkerA.PeñaY.HassenstabJ.MorrisJ. C.BabulalG. M. (2022). Neuropsychological correlates of changes in driving behavior among clinically healthy older adults. The Journals of Gerontology: Series B. 77(10), 1769–1778https://doi.org/10.1093/geronb/gbac101
4.
BabulalG. M.StoutS. H.WilliamsM. M.RajasekarG.HarmonA.VivodaJ.ZuelsdorffM.BenzingerT. L. S.MorrisJ. C.AncesB.RoeC. M. (2020). Differences in driving outcomes among cognitively normal African American and caucasian older adults. Journal of Racial and Ethnic Health Disparities, 7(2), 269–280. https://doi.org/10.1007/s40615-019-00655-z
5.
BabulalG. M.WilliamsM. M.StoutS. H.RoeC. M. (2018). Driving outcomes among older adults: A systematic Review on racial and ethnic differences over 20 years. Geriatrics, 3(1), 12. https://doi.org/10.3390/geriatrics3010012
6.
BallK.BerchD. B.HelmersK. F.JobeJ. B.LeveckM. D.MarsiskeM.MorrisJ. N.RebokG. W.SmithD. M.TennstedtS. L.UnverzagtF. W.WillisS. L. (2002). Effects of cognitive training interventions with older adults: A randomized controlled trial. Journal of the American Medical Association, 288(18), 2271–2281. https://doi.org/10.1001/jama.288.18.2271
7.
BallK.EdwardsJ. D.RossL. A.McGwinG.Jr. (2010). Cognitive training decreases motor vehicle collision involvement of older drivers. Journal of the American Geriatrics Society, 58(11), 2107–2113. https://doi.org/10.1111/j.1532-5415.2010.03138.x
8.
BallK.OwsleyC. (1993). The useful field of view test: A new technique for evaluating age-related declines in visual function. Journal of the American Optometric Association, 64(1), 71–79.
9.
BallK. K.ClayO. J.EdwardsJ. D.FaustoB. A.WheelerK. M.FelixC.RossL. A. (2021). Indicators of crash risk in older adults: A longitudinal analysis from the ACTIVE study. Journal of Aging and Health, 89826432110313. https://doi.org/10.1177/08982643211031346
10.
BallK. K.OwsleyC.StalveyB.RoenkerD. L.SloaneM. E.GravesM. (1998). Driving avoidance and functional impairment in older drivers. Accident Analysis and Prevention, 30(3), 313–322. https://doi.org/10.1016/s0001-4575(97)00102-4
11.
BayneA.SiegfriedA.BeckL. F.FreundK. (2021). Barriers and facilitators of older adults’ use of ride share services. Journal of Transport and Health, 21, 101055. https://doi.org/10.1016/j.jth.2021.101055
ChihuriS.MielenzT. J.DiMaggioC. J.BetzM. E.DiGuiseppiC.JonesV. C.LiG. (2016). Driving cessation and health outcomes in older adults. Journal of the American Geriatrics Society, 64(2), 332–341. https://doi.org/10.1111/jgs.13931
14.
ChoiM.LohmanM. C.MezukB. (2014). Trajectories of cognitive decline by driving mobility: Evidence from the health and retirement study. International Journal of Geriatric Psychiatry, 29(5), 447–453. https://doi.org/10.1002/gps.4024
15.
ChoiM.MezukB.LohmanM. C.EdwardsJ. D.RebokG. W. (2013). Gender and racial disparities in driving cessation among older adults. Journal of Aging and Health, 25(8 Suppl), 147s–162s. https://doi.org/10.1177/0898264313519886
16.
ClayO. J.BallK. K.WheelerK. M.CroweM.MarsiskeM.DeanL. T.ThorpeR. J.JonesR.OwensJ. H.RebokG. W.WillisS. L. (2022). Evaluating social determinants of health domains and their predictive validity within black/African American and white older adults from the active trial. Journal of Aging and Health, 89826432211112. https://doi.org/10.1177/08982643221111205
17.
ClayO. J.WadleyV. G.EdwardsJ. D.RothD. L.RoenkerD. L.BallK. K. (2005). Cumulative meta-analysis of the relationship between useful field of view and driving performance in older adults: Current and future implications. Optometry and Vision Science: Official Publication of the American Academy of Optometry, 82(8). 731, https://doi.org/10.1097/01.opx.0000175009.08626.65
18.
DahlgrenG.WhiteheadM. (1991). Policies and strategies to promote social equity in health. Institute for Future Studies.
19.
DahlgrenG.WhiteheadM. (2021). The dahlgren-whitehead model of health determinants: 30 years on and still chasing rainbows. Public Health, 199, 20–24. https://doi.org/10.1016/j.puhe.2021.08.009
20.
DaigneaultG.JolyP.FrigonJ. Y. (2002). Executive functions in the evaluation of accident risk of older drivers. Journal of Clinical and Experimental Neuropsychology, 24(2), 221–238. https://doi.org/10.1076/jcen.24.2.221.993
21.
DanneferD. (1987). Aging as intracohort differentiation: Accentuation, the matthew effect, and the life course. Sociological Forum, 2, 211–236. https://doi.org/10.1007/bf01124164
22.
DanneferD. (1988). Differential gerontology and the stratified life course: Conceptual and methodological issues. Annual Review of Gerontology and Geriatrics, 8, 3–36.
23.
De SilvaN. A.GregoryM. A.VenkateshanS. S.VerschoorC. P.KuspinarA. (2019). Examining the association between life-space mobility and cognitive function in older adults: A systematic Review. Journal of Aging Research, 2019, 2019, 3923574. https://doi.org/10.1155/2019/3923574
24.
DickersonA. E.MolnarL. J.BedardM.EbyD. W.Berg-WegerM.ChoiM.GriggJ.HorowitzA.MeuserT.MyersA.O’ConnorM.SilversteinN. M. (2019). Transportation and aging: An updated research Agenda to advance safe mobility among older adults transitioning from driving to non-driving. The Gerontologist, 59(2), 215–221. https://doi.org/10.1093/geront/gnx120
25.
DuganE.LeeC. M. (2013). Biopsychosocial risk factors for driving cessation: Findings from the health and retirement study. Journal of Aging and Health, 25(8), 1313–1328. https://doi.org/10.1177/0898264313503493
26.
EdwardsJ. D.BartE.O’ConnorM. L.CissellG. (2010). Ten years down the road: Predictors of driving cessation. The Gerontologist, 50(3), 393–399. https://doi.org/10.1093/geront/gnp127
27.
EdwardsJ. D.MyersC.RossL. A.RoenkerD. L.CissellG. M.McLaughlinA. M.BallK. K. (2009). The longitudinal impact of cognitive speed of processing training on driving mobility. The Gerontologist, 49(4), 485–494. https://doi.org/10.1093/geront/gnp042
28.
EdwardsJ. D.PerkinsM.RossL. A.ReynoldsS. L. (2009). Driving status and three-year mortality among community-dwelling older adults. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 64(2), 300–305. https://doi.org/10.1093/gerona/gln019
29.
EdwardsJ. D.RossL. A.AckermanM. L.SmallB. J.BallK. K.BradleyS.DodsonJ. E. (2008). Longitudinal predictors of driving cessation among older adults from the ACTIVE clinical trial. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 63(1), P6–P12. https://doi.org/10.1093/geronb/63.1.P6
30.
EdwardsJ. D.RossL. A.WadleyV. G.ClayO. J.CroweM.RoenkerD. L.BallK. K. (2006). The useful field of view test: Normative data for older adults. Archives of Clinical Neuropsychology: The Official Journal of the National Academy of Neuropsychologists, 21(4), 275–286. https://doi.org/10.1016/j.acn.2006.03.001
FerraroK. F.Kelley-MooreJ. A. (2003). Cumulative disadvantage and health: Long-term consequences of obesity?American Sociological Review, 68(5), 707–729. https://doi.org/10.2307/1519759
33.
FoleyD. J.HeimovitzH. K.GuralnikJ. M.BrockD. B. (2002). Driving life expectancy of persons aged 70 Years and older in the United States. American Journal of Public Health, 92(8), 1284–1289. https://doi.org/10.2105/AJPH.92.8.1284
34.
GreenP.MacLeodC. J. (2016). SIMR: An R package for power analysis of generalized linear mixed models by simulation. Methods in Ecology and Evolution, 7(4), 493–498. https://doi.org/10.1111/2041-210X.12504
35.
GrossA. L.MungasD. M.CraneP. K.GibbonsL. E.MacKay-BrandtA.ManlyJ. J.MukherjeeS.RomeroH.SachsB.ThomasM.PotterG. G.JonesR. N. (2015). Effects of education and race on cognitive decline: An integrative study of generalizability versus study-specific results. Psychology and Aging, 30(4), 863–880. https://doi.org/10.1037/pag0000032
36.
HaysR. D.ShapiroM. F. (1992). An overview of generic health-related quality of life measures for HIV research. Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 1(2), 91–97. https://doi.org/10.1007/bf00439716
HendersonS.WellsR. (2021). Environmental racism and the contamination of Black lives: A literature Review. Journal of African American Studies, 25(1), 134–151. https://doi.org/10.1007/s12111-020-09511-5
39.
HirdesJ. P.FriesB. E.MorrisJ. N.IkegamiN.ZimmermanD.DalbyD. M.AliagaP.HammerS.JonesR. (2004). Home care quality indicators (HCQIs) based on the MDS-HC. The Gerontologist, 44(5), 665–679. https://doi.org/10.1093/geront/44.5.665
40.
IBM Corp. (2021). IBM SPSS Statistics for Windows. IBM Corp. Version 28.0.
41.
JaegerJ. (2018). Digit symbol substitution test: The case for sensitivity over specificity in neuropsychological testing. Journal of Clinical Psychopharmacology, 38(5), 513–519. https://doi.org/10.1097/jcp.0000000000000941
42.
JobeJ. B.SmithD. M.BallK.TennstedtS. L.MarsiskeM.WillisS. L.RebokG. W.MorrisJ. N.HelmersK. F.LeveckM. D.KleinmanK. (2001). ACTIVE: A cognitive intervention trial to promote independence in older adults. Controlled Clinical Trials, 22(4), 453–479. https://doi.org/10.1016/s0197-2456(01)00139-8
KuoH. K.LeveilleS. G.YuY. H.MilbergW. P. (2007). Cognitive function, habitual gait speed, and late-life disability in the National Health and Nutrition Examination Survey (NHANES) 1999-2002. Gerontology, 53(2), 102–110. https://doi.org/10.1159/000096792
45.
LamarM.LernerA. J.JamesB. D.YuL.GloverC. M.WilsonR. S.BarnesL. L. (2020). Relationship of early-life residence and educational experience to level and change in cognitive functioning: Results of the minority aging research study. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 75(7), e81–e92. https://doi.org/10.1093/geronb/gbz031
46.
LandiF.TuaE.OnderG.CarraraB.SgadariA.RinaldiC.GambassiG.LattanzioF.BernabeiR. (2000). Minimum data set for home care: A valid instrument to assess frail older people living in the community. Medical Care, 38(12), 1184–1190. https://doi.org/10.1097/00005650-200012000-00005
47.
LezakM. D.HowiesonD. B.LoringD. W.FischerJ. S. (2004). Neuropsychological assessment. Oxford University Press.
48.
LunsmanM.EdwardsJ. D.AndelR.SmallB. J.BallK. K.RoenkerD. L. (2008). What predicts changes in useful field of view test performance?Psychology and Aging, 23(4), 917–927. https://doi.org/10.1037/a0013466
49.
MäntyläT.KarlssonM. J.MarklundM. (2009). Executive control functions in simulated driving. Applied Neuropsychology, 16(1), 11–18. https://doi.org/10.1080/09084280802644086
50.
MarottoliR. A.de LeonC. F. M.GlassT. A.WilliamsC. S.CooneyL. M.Jr.BerkmanL. F. (2000). Consequences of driving cessation: Decreased out-of-home activity levels. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 55(6), S334–S340. https://doi.org/10.1093/geronb/55.6.s334
51.
MarsiskeM.DzierzewskiJ. M.ThomasK. R.KastenL.JonesR. N.JohnsonK. E.WillisS. L.WhitfieldK. E.BallK. K.RebokG. W. (2013). Race-related disparities in 5-year cognitive level and change in untrained ACTIVE participants. Journal of Aging and Health, 25(8 Suppl), 103S–127S. https://doi.org/10.1177/0898264313497794
52.
McLeroyK. R.BibeauD.StecklerA.GlanzK. (1988). An ecological perspective on health promotion programs. Health Education Quarterly, 15(4), 351–377. https://doi.org/10.1177/109019818801500401
53.
MenesesK.BenzR.BailJ. R.VoJ. B.TriebelK.FazeliP.FrankJ.VanceD. E. (2018). Speed of processing training in middle-aged and older breast cancer survivors (SOAR): Results of a randomized controlled pilot. Breast Cancer Research and Treatment, 168(1), 259–267. https://doi.org/10.1007/s10549-017-4564-2
54.
MeyerO. L.SiscoS. M.HarveyD.ZahodneL. B.GlymourM. M.ManlyJ. J.MarsiskeM. (2017). Neighborhood predictors of cognitive training outcomes and trajectories in ACTIVE. Research on Aging, 39(3), 443–467. https://doi.org/10.1177/0164027515618242
55.
MorrisJ. N.FriesB. E.SteelK.IkegamiN.BernabeiR.CarpenterG. I.GilgenR.HirdesJ. P.TopinkovaE. (1997). Comprehensive clinical assessment in community setting: Applicability of the MDS-HC. Journal of the American Geriatrics Society, 45(8), 1017–1024. https://doi.org/10.1111/j.1532-5415.1997.tb02975.x
56.
O’RandA. M. (1996). The precious and the precocious: Understanding cumulative disadvantage and cumulative advantage over the life course. The Gerontologist, 36(2), 230–238. https://doi.org/10.1093/geront/36.2.230
57.
OwsleyC.StalveyB.WellsJ.SloaneM. E. (1999). Older drivers and cataract: Driving habits and crash risk. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 54(4), M203–M211. https://doi.org/10.1093/gerona/54.4.m203
58.
PopeC. N.RossL. A.StavrinosD. (2016). Association between executive function and problematic Adolescent driving. Journal of Developmental and Behavioral Pediatrics: JDBP, 37(9), 702–711. https://doi.org/10.1097/DBP.0000000000000353
59.
PopeC. N.StavrinosD.FazeliP. L.VanceD. E. (2022). Transportation barriers and health-related quality of life in a sample of middle-aged and older adults living with HIV in the deep south. AIDS and Behavior, 26(7), 2148–2158. https://doi.org/10.1007/s10461-021-03560-x
60.
QinW.XiangX.TaylorH. (2020). Driving cessation and social isolation in older adults. Journal of Aging and Health, 32(9), 962–971. https://doi.org/10.1177/0898264319870400
61.
RaglandD. R.SatarianoW. A.MacLeodK. E. (2005). Driving cessation and increased depressive symptoms. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 60(3), 399–403. https://doi.org/10.1093/gerona/60.3.399
62.
RossL. A.ClayO. J.EdwardsJ. D.BallK. K.WadleyV. G.VanceD. E.CissellG. M.RoenkerD. L.JoyceJ. J. (2009). Do older drivers at-risk for crashes modify their driving over time?The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 64(2), 163–170. https://doi.org/10.1093/geronb/gbn034
63.
RossL. A.EdwardsJ. D.O'ConnorM. L.BallK. K.WadleyV. G.VanceD. 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
64.
RossL. A.FreedS. A.EdwardsJ. D.PhillipsC. B.BallK. (2017). The impact of three cognitive training programs on driving cessation across 10 Years: A randomized controlled trial. The Gerontologist, 57(5), 838–846. https://doi.org/10.1093/geront/gnw143
65.
ShenS.KoechW.FengJ.RiceT. M.ZhuM. (2017). A cross-sectional study of travel patterns of older adults in the USA during 2015: Implications for mobility and traffic safety. BMJ Open, 7(8), Article e015780. https://doi.org/10.1136/bmjopen-2016-015780
66.
SiscoS.GrossA. L.ShihR. A.SachsB. C.GlymourM. M.BangenK. J.BenitezA.SkinnerJ.SchneiderB. C.ManlyJ. J. (2015). The role of early-life educational quality and literacy in explaining racial disparities in cognition in late life. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 70(4), 557–567. https://doi.org/10.1093/geronb/gbt133
67.
SiscoS. M.MarsiskeM. (2012). Neighborhood influences on late life cognition in the ACTIVE study. Journal of Aging Research, 2012(2012), 435826. https://doi.org/10.1155/2012/435826
68.
StewartA. L.SherbourneC. D.HaysR. D.WellsK. B.NelsonE. C.KambergC.RogersW. H.BerryS. H.WareJ. E.Jr. (1992). Summary and discussion of MOS measures. In StewartA. L.WareJ. E. (Eds.), Measuring functioning and well-being: The medical outcomes study approach (pp. 345–371). Duke University Press.
69.
Tucker-DrobE. M. (2011). Global and domain-specific changes in cognition throughout adulthood. Developmental Psychology, 47(2), 331–343. https://doi.org/10.1037/a0021361
70.
VanceD. E. (2009). Speed of processing in older adults: A cognitive overview for nursing. The Journal of Neuroscience Nursing: Journal of the American Association of Neuroscience Nurses, 41(6), 290–297. https://doi.org/10.1097/jnn.0b013e3181b6beda
71.
VanceD. E.FazeliP. L.AzueroA.WadleyV. G.RaperJ. L.BallK. K. (2021). Can individualized-targeted computerized cognitive training benefit adults with HIV-associated neurocognitive disorder? The training on purpose study (TOPS). AIDS and Behavior, 25(12), 3898–3908. https://doi.org/10.1007/s10461-021-03230-y
72.
VivodaJ. M.HeeringaS. G.SchulzA. J.GrengsJ.ConnellC. M. (2017). The influence of the transportation environment on driving reduction and cessation. The Gerontologist, 57(5), 824–832. https://doi.org/10.1093/geront/gnw088
73.
VivodaJ. M.WalkerR. M.CaoJ.KoumoutzisA. (2020). How accumulated wealth affects driving reduction and cessation. The Gerontologist, 60(7), 1273–1281. https://doi.org/10.1093/geront/gnaa039
WeschlerD. (1939). The measurement of adult intelligence. The Williams and Wilkins Company.
76.
WilsonR. S.RajanK. B.BarnesL. L.WeuveJ.EvansD. A. (2016). Factors related to racial differences in late-life level of cognitive function. Neuropsychology, 30(5), 517–524. https://doi.org/10.1037/neu0000290
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