Abstract
Background
The Montreal cognitive assessment (MoCA) has become one of the most widely used cognitive screening instruments since its initial publication. To date, only a handful of studies have explored longitudinal characteristics of the MoCA.
Aim
The aim of this study is to characterize the trajectory of MoCA performance across a broad age continuum of older adults.
Methods
Data from 467 cognitively normal participants were used in this analysis. The sample was grouped into four strata based on the participants’ age at baseline (60–69, 70–79, 80–89, and 90–99). Mixed model repeated measures (MMRM) analysis and mixed-effects spline models were used to characterize the trajectory of MoCA scores in each age stratum and in the entire sample. Intrasubject standard deviation (ISD) was used to characterize the natural variability of individual MoCA performance over time.
Results
The ISD values for each of the age strata indicated that year-to-year individual variation on the MoCA ranged from zero to three points. MMRM analysis showed that the 60–69 stratum remained relatively stable over time while the 70–79 and 80–89 strata both showed notable decline relative to baseline performance. The mixed-effects spline model showed that MoCA performance declines linearly across the older adult age span.
Discussion
Among cognitively normal older adults MoCA performance remains relatively stable over time, however across the older adult age-span MoCA performance declines in a linear fashion. These results will help clinicians better understand the normal course of MoCA change in older adults while researchers may use these results to inform sample size estimates for intervention studies.
Conclusion
This study provides an enhanced view of the MoCA’s intraindividual trajectory in normal elderly aged 60 and older.
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References
Nasreddine ZS, Phillips NA, Bédirian V, Charbonneau S, Whitehead V, Collin I, Cummings JL, Chertkow H (2005) The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc 53:695–699
Hsu J-L, Fan Y-C, Huang Y-L, Wang J, Chen WH, Chiu HC, Bai CH (2015) Improved predictive ability of the Montreal Cognitive Assessment for diagnosing dementia in a community-based study. Alzheimer Res Ther 7:69
Damian AM, Jacobson SA, Hentz JG, Belden CM, Shill HA, Sabbagh MN, Caviness JN, Adler CH (2011) The Montreal Cognitive Assessment and the Mini-Mental State Examination as screening instruments for cognitive impairment: item analyses and threshold scores. Dement Geriatr Cog Disord 31:126–131
Freitas S, Simões MR, Alves L, Santana I (2013) Montreal Cognitive Assessment: validation study for mild cognitive impairment and Alzheimer disease. Alzheimer Dis Assoc Disord 27:37–43
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. Psychiatr Pol 50:1039–1052
Malek-Ahmadi M, Powell JJ, Belden CM, O’Connor K, Evans L, Coon DW, Nieri W (2015) Age- and education-adjusted normative data for the Montreal Cognitive Assessment (MoCA) in older adults age 70–99. Neuropsychol Dev Cogn B Aging Neuropsychol Cogn 22:755–761
Rossetti HC, Lacritz LH, Cullum CM, Weiner MF (2011) Normative data for the Montreal Cognitive Assessment (MoCA) in a population-based sample. Neurology 77:1272–1275
Costa AS, Reich A, Fimm B, Ketteler ST, Schulz JB, Reetz K (2014) Evidence of the sensitivity of the MoCA alternate forms in monitoring cognitive change in early Alzheimer’s disease. Dement Geriatr Cogn Disord 37:95–103
Krishnan K, Rossetti H, Hynan LS, Carter K, Falkowski J, Lacritz L, Cullum CM, Weiner M (2017) Changes in Montreal Cognitive Assessment scores over time. Assessment 24:772–777
Suzuki H, Kawai H, Hirano H, Yoshida H, Ihara K, Kim H, Chaves PH, Minami U, Yasunaga M, Obuchi S, Fujiwara Y (2015) One-year change in the Japanese version of the Montreal Cognitive Assessment performance and related predictors in community-dwelling older adults. J Am Geriatr Soc 63:1874–1879
Cooley SA, Heaps JM, Bolzenius JD, Salminen LE, Baker LM, Scott SE, Paul RH (2015) Longitudinal change in performance on the Montreal Cognitive Assessment in older adults. Clin Neuropsychol 29:824–835
Paul R, Lane EM, Tate DF, Heaps J, Romo DM, Akbudak E, Niehoff J, Conturo TE (2011) Neuroimaging signatures and cognitive correlates of the Montreal Cognitive Assessment screen in a nonclinical elderly sample. Arch Clin Neuropsychol 26:454–460
O’Connor K, Coon DW, Malek-Ahmadi M, Dugger BN, Schofield S, Nieri W (2016) Description and cohort characterization of the Longevity Study: learning from our elders. Aging Clin Exp Res 28:863–869
Ortman JM, Velkoff VA, Hogan H (2014) An aging nation: The older population in the United States: Population estimates and projections, current population reports. http://www.census.gov/prod/2014pubs/p25–1140.pdf. Accessed 3 May 2017
Alzheimer’s Association (2016) Alzheimer’s disease facts and Figs. 2016. https://www.alz.org/documents_custom/2016-facts-and-figures.pdf. Accessed 3 May 2017
Sun FW, Stepanovic MR, Andreano J, Barrett LF, Touroutoglou A, Dickerson BC (2016) Youthful brains in older adults: preserved neuroanatomy in the default mode and salience networks contributes to youthful memory in superaging. J Neurosci 36:9659–9668
Rodríguez-Rodero S, Fernández-Morera JL, Menéndez-Torre E, Calvanese V, Fernández AF, Fraga MF (2011) Aging genetics and aging. Aging Dis 2:186–195
Sebastiani P, Solovieff N, DeWan AT, Walsh KM, Puca A, Hartley SW, Melista E, Andersen S, Dworkis DA, Wilk JB, Myers RH, Steinberg MH, Montano M, Baldwin CT, Hoh J, Perls TT (2012) Genetic signatures of exceptional longevity in humans. PLoS One 7:e29848
Van Os Y, de Vugt ME, van Boxtel M (2015) Cognitive interventions in older persons: do they change the functioning of the brain?. Biomed Res Int 2015:438908
Williams K, Kemper S (2010) Exploring interventions to reduce cognitive decline in aging. J Psychosoc Nurs Ment Health Serv 48:42–51
Brookmeyer R, Kawas CH, Abdallah N, Paganini-Hill A, Kim RC, Corrada MM (2016) Impact of interventions to reduce Alzheimer’s disease pathology on the prevalence of dementia in the oldest-old. Alzheimers Dement (NY) 12:225–232
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Malek-Ahmadi, M., O’Connor, K., Schofield, S. et al. Trajectory and variability characterization of the Montreal cognitive assessment in older adults. Aging Clin Exp Res 30, 993–998 (2018). https://doi.org/10.1007/s40520-017-0865-x
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DOI: https://doi.org/10.1007/s40520-017-0865-x