Processing speed predicts SuperAging years later

. 2023 Feb 02 ; 11 (1) : 34. [epub] 20230202

Jazyk angličtina Země Anglie, Velká Británie Médium electronic

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid36732871

Grantová podpora
GA 18-06199S Grantová Agentura České Republiky

Odkazy

PubMed 36732871
PubMed Central PMC9896833
DOI 10.1186/s40359-023-01069-7
PII: 10.1186/s40359-023-01069-7
Knihovny.cz E-zdroje

BACKGROUND: SuperAging is one of the current concepts related to elite, resilient or high-functioning cognitive aging. The main aim of our study was to find possible predictors of SuperAgers (SA). METHODS: Community-dwelling older persons (N = 96) aged 80-101 years in 2018 were repeatedly tested (year 2012 and 2018). SA were defined based on their performance in 2018 as persons of 80+ years of age who recalled ≥ 9 words in the delayed recall of the Philadelphia Verbal Learning Test, and had a normal performance in non-memory tasks [the Boston Naming Test, the Trail Making Test Part B, and Category Fluency ("Animals")], which was defined as a score within or above one standard deviation from the age and education appropriate average. Three composite scores (CS; immediate memory, processing speed, and executive functions) were created from the performance in 2012, and analysed as possible predictors of SA status in 2018. RESULTS: We identified 19 SA (15 females) and 77 nonSA (42 females), groups did not significantly differ in age, years of education, and sex. The logistic regression model (p = 0.028) revealed three predictors of SA from the baseline (year 2012), including processing speed (p = 0.006; CS-speed: the Prague Stroop Test-Dots and the Digit Symbol Substitution Test), sex (p = 0.015), and age (p = 0.045). CONCLUSIONS: Thus, SA may be predicted based on the level of processing speed, which supports the hypothesis of the processing speed theory of healthy aging.

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Diem SJ, Lui LY, Langsetmo L, Taylor B, Cawthon PM, Cauley JA, et al. Effects of mobility and cognition on maintenance of independence and survival among women in late life. J Gerontol Ser A. 2018;73(9):1251–1257. PubMed PMC

Guralnik JM, Alecxih L, Branch LG, Wiener JM. Medical and long-term care costs when older persons become more dependent. Am J Public Health. 2002;92(8):1244–1245. PubMed PMC

Lowry KA, Vallejo AN, Studenski SA. Successful aging as a continuum of functional independence: lessons from physical disability models of aging. Aging Dis. 2012;3(1):5–15. PubMed PMC

Nyberg L, Boraxbekk CJ, Sörman DE, Hansson P, Herlitz A, Kauppi K, et al. Biological and environmental predictors of heterogeneity in neurocognitive ageing. Ageing Res Rev. 2020;64:101184. PubMed

Fjell AM, Westlye LT, Grydeland H, Amlien I, Espeseth T, Reinvang I, et al. Critical ages in the life course of the adult brain: nonlinear subcortical aging. Neurobiol Aging. 2013;34(10):2239–2247. PubMed PMC

Nyberg L, Lövdén M, Riklund K, Lindenberger U, Bäckman L. Memory aging and brain maintenance. Trends Cogn Sci. 2012;16(5):292–305. PubMed

Rogalski EJ. Don’t forget: age is a relevant variable in defining SuperAgers. Alzheimers Dement Diagn Assess Dis Monit. 2019;11(1):560–561. PubMed PMC

Verhaeghen P, Salthouse TA. Meta-analyses of age–cognition relations in adulthood: estimates of linear and nonlinear age effects and structural models. Psychol Bull. 1997;122(3):231–249. PubMed

Harrison TM, Weintraub S, Mesulam MM, Rogalski EJ. Superior memory and higher cortical volumes in unusually successful cognitive aging. J Int Neuropsychol Soc. 2012;18(06):1081–1085. PubMed PMC

Rogalski EJ, Gefen T, Shi J, Samimi M, Bigio E, Weintraub S, et al. Youthful memory capacity in old brains: anatomic and genetic clues from the Northwestern SuperAging Project. J Cogn Neurosci. 2013;25(1):29–36. PubMed PMC

Calandri IL, Crivelli L, Martin ME, Egido N, Guimet NM, Allegri RF. Environmental factors between normal and superagers in an Argentine cohort. Dement Neuropsychol. 2020;14(4):345–349. PubMed PMC

Červenková M, Heissler R, Kopeček M. Stability of memory SuperAgers over 3 years. PsyCh J. 2020;9(1):147–149. PubMed

Saint Martin M, Sforza E, Barthélémy JC, Roche F, Lefèvre P, Liénard G, et al. Long-lasting active lifestyle and successful cognitive aging in a healthy elderly population: the PROOF cohort. Rev Neurol. 2017;173(10):637–644. PubMed

Cook AH, Sridhar J, Ohm D, Rademaker A, Mesulam MM, Weintraub S, et al. Rates of cortical atrophy in adults 80 years and older with superior vs average episodic memory. JAMA. 2017;317(13):1373. PubMed PMC

Gefen T, Peterson M, Papastefan ST, Martersteck A, Whitney K, Rademaker A, et al. Morphometric and histologic substrates of cingulate integrity in elders with exceptional memory capacity. J Neurosci. 2015;35(4):1781–1791. PubMed PMC

Harrison TM, Maass A, Baker SL, Jagust WJ. Brain morphology, cognition, and β-amyloid in older adults with superior memory performance. Neurobiol Aging. 2018;67:162–170. PubMed PMC

Katsumi Y, Andreano JM, Barrett LF, Dickerson BC, Touroutoglou A. Greater neural differentiation in the ventral visual cortex is associated with youthful memory in superaging. Cereb Cortex. 2021;31(11):5275–5287. PubMed PMC

Katsumi Y, Wong B, Cavallari M, Fong TG, Alsop DC, Andreano JM, et al. Structural integrity of the anterior mid-cingulate cortex contributes to resilience to delirium in superaging. Brain Commun. 2022;4(4):fcac163. PubMed PMC

Sun FW, Stepanovic MR, Andreano J, Barrett LF, Touroutoglou A, Dickerson BC. youthful brains in older adults: preserved neuroanatomy in the default mode and salience networks contributes to youthful memory in superaging. J Neurosci. 2016;36(37):9659–9668. PubMed PMC

Salthouse TA. Aging and measures of processing speed. Biol Psychol. 2000;54(1–3):35–54. PubMed

Rast P. Verbal knowledge, working memory, and processing speed as predictors of verbal learning in older adults. Dev Psychol. 2011;47(5):1490–1498. PubMed

Salthouse TA, Ferrer-Caja E. What needs to be explained to account for age-related effects on multiple cognitive variables? Psychol Aging. 2003;18(1):91–110. PubMed

Bott NT, Bettcher BM, Yokoyama JS, Frazier DT, Wynn M, Karydas A, et al. Youthful Processing speed in older adults: genetic, biological, and behavioral predictors of cognitive processing speed trajectories in aging. Front Aging Neurosci. 2017 doi: 10.3389/fnagi.2017.00055/full. PubMed DOI PMC

Salthouse TA. When does age-related cognitive decline begin? Neurobiol Aging. 2009;30(4):507–514. PubMed PMC

Salthouse TA. Trajectories of normal cognitive aging. Psychol Aging. 2019;34(1):17–24. PubMed PMC

Tucker-Drob EM, Johnson KE, Jones RN. The cognitive reserve hypothesis: a longitudinal examination of age-associated declines in reasoning and processing speed. Dev Psychol. 2009;45(2):431–446. PubMed PMC

Bezdicek O, Stepankova H, Martinec Novakova L, Kopecek M. Toward the processing speed theory of activities of daily living in healthy aging: normative data of the functional activities questionnaire. Aging Clin Exp Res. 2016;28(2):239–247. PubMed

Finkel D, Reynolds CA, McArdle JJ, Pedersen NL. Age changes in processing speed as a leading indicator of cognitive aging. Psychol Aging. 2007;22(3):558–568. PubMed

Rosano C, Perera S, Inzitari M, Newman AB, Longstreth WT, Studenski S. Digit symbol substitution test and future clinical and subclinical disorders of cognition, mobility and mood in older adults. Age Ageing. 2016;45(5):687–694. PubMed PMC

Smits CHM, Deeg DJH, Kriegsman DMW, Schmand B. Cognitive functioning and health as determinants of mortality in an older population. Am J Epidemiol. 1999;150(9):978–986. PubMed

Swindell WR, Cummings SR, Sanders JL, Caserotti P, Rosano C, Satterfield S, et al. Data mining identifies digit symbol substitution test score and serum cystatin C as dominant predictors of mortality in older men and women. Rejuvenation Res. 2012;15(4):405–413. PubMed PMC

Kim BR, Kwon H, Chun MY, Park KD, Lim SM, Jeong JH, et al. White matter integrity is associated with the amount of physical activity in older adults with super-aging. Front Aging Neurosci. 2020;12:549983. PubMed PMC

Heissler R, Georgi H, Kopeček M. Leisure activities of SuperAgers. In: Ageing 2021: Proceedings of the 5th Gerontological Interdisciplinary Conference [Internet]. Prague College of Psychosocial Studies; 2021. p. 77–86. Available from: http://www.konferencestarnuti.cz/files/Starnuti_2021_sbornik.pdf.

Dang C, Harrington KD, Lim YY, Ames D, Hassenstab J, Laws SM, et al. Superior memory reduces 8-year risk of mild cognitive impairment and dementia but not amyloid β-associated cognitive decline in older adults. Arch Clin Neuropsychol. 2019;34(5):585–598. PubMed

Dekhtyar M, Papp KV, Buckley R, Jacobs HIL, Schultz AP, Johnson KA, et al. Neuroimaging markers associated with maintenance of optimal memory performance in late-life. Neuropsychologia. 2017;100:164–170. PubMed PMC

Štěpánková H, Bezdíček O, Nikolai T, Horáková K, Lukavský J, Kopeček M. Zpráva o projektu Národní normativní studie kognitivních determinant zdravého stárnutí. E-Psychol. 2015;9(1):43–64.

Jenčová A, Černochová D. WMS–IIIa:Wechslerova zkrácená paměťová škála. Vol. 1. Praha: Hogrefe—Testcentrum; 2011.

Wechsler D. Wechsler memory scale. 3. USA: The Psychological Corporation; 2002. p. 195.

Wechsler D. Wechsler adult intelligence scale. 3. San Antonio: The Psychological Corporation; 1997.

Bezdicek O, Lukavsky J, Stepankova H, Nikolai T, Axelrod BN, Michalec J, et al. The prague stroop test: normative standards in older Czech adults and discriminative validity for mild cognitive impairment in Parkinson’s disease. J Clin Exp Neuropsychol. 2015;37(8):794–807. PubMed

Folstein MF, Folstein SE, McHugh PR. “Mini-mental state”: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12(3):189–198. PubMed

Štěpánková H, Nikolai T, Lukavský J, Bezdíček O, Vrajová M, Kopeček M. Mini-mental state examination: česká normativní studie. Čes Slov Neurol Neurochir. 2015;78/111(1):57–63.

Bezdicek O, Libon DJ, Stepankova H, Panenkova E, Lukavsky J, Garrett KD, et al. Development, validity, and normative data study for the 12-word Philadelphia verbal learning test [czP(r)VLT-12] among older and very old Czech adults. Clin Neuropsychol. 2014;28(7):1162–1181. PubMed

Kaplan E, Goodglass H, Weintraub S. The Boston naming test. 2. Lea & Febiger; 1983.

Nikolai T, Stepankova H, Kopecek M, Sulc Z, Vyhnalek M, Bezdicek O. The uniform data set, Czech Version: normative data in older adults from an international perspective. J Alzheimers Dis. 2018;61(3):1233–1240. PubMed PMC

Bezdicek O, Stepankova H, Axelrod BN, Nikolai T, Sulc Z, Jech R, et al. Clinimetric validity of the trail making test Czech version in parkinson’s disease and normative data for older adults. Clin Neuropsychol. 2017;31(S1):42–60. PubMed

Reitan RM. Validity of the trail making test as an indicator of organic brain damage. Percept Mot Skills. 1958;8(3):271–276.

Nikolai T, Štěpánková H, Michalec J, Bezdíček O, Horáková K, Marková H, et al. Tests of verbal fluency, czech normative study in older patients. Čes Slov Neurol Neurochir. 2015;78/111(3):292–299.

Wetzels R, Wagenmakers EJ. A default Bayesian hypothesis test for correlations and partial correlations. Psychon Bull Rev. 2012;19(6):1057–1064. PubMed PMC

Albinet CT, Boucard G, Bouquet CA, Audiffren M. Processing speed and executive functions in cognitive aging: how to disentangle their mutual relationship? Brain Cogn. 2012;79(1):1–11. PubMed

Baudouin A, Clarys D, Vanneste S, Isingrini M. Executive functioning and processing speed in age-related differences in memory: contribution of a coding task. Brain Cogn. 2009;71(3):240–245. PubMed

Jaeger J. Digit symbol substitution test: the case for sensitivity over specificity in neuropsychological testing. J Clin Psychopharmacol. 2018;38(5):513–519. PubMed PMC

Maccora J, Peters R, Anstey KJ. Gender differences in superior-memory superagers and associated factors in an Australian cohort. J Appl Gerontol. 2021;40(4):433–442. PubMed

Ritchie SJ, Cox SR, Shen X, Lombardo MV, Reus LM, Alloza C, et al. Sex differences in the adult human brain: evidence from 5216 UK biobank participants. Cereb Cortex. 2018;28(8):2959–2975. PubMed PMC

Subotic A, McCreary CR, Saad F, Nguyen A, Alvarez-Veronesi A, Zwiers AM, et al. Cortical thickness and its association with clinical cognitive and neuroimaging markers in cerebral amyloid angiopathy. J Alzheimers Dis. 2021;81(4):1663–1671. PubMed PMC

Pettigrew C, Soldan A. Defining cognitive reserve and implications for cognitive aging. Curr Neurol Neurosci Rep. 2019;19(1):1. PubMed PMC

Delis DC, Kramer JH, Kaplan E, Ober BA. CVLT, California verbal learning test: adult version: manual. San Antonio: Psychological Corporation; 1987.

Libon DJ, Mattson RE, Glosser G, Kaplan E, Malamut BL, Sands LP, et al. A nine—word dementia version of the California verbal learning test. Clin Neuropsychol. 1996;10(3):237–244.

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