1,383
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Longitudinal measurement properties of the Montreal Cognitive Assessment

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 627-639 | Received 04 May 2022, Accepted 12 Nov 2022, Published online: 30 Nov 2022

References

  • American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders: DSM-5 (5th ed.). https://doi.org/10.1176/appi.books.9780890425596
  • Apóstolo, J. L. A., Cardoso, D. F. B., Rosa, A. I., & Paúl, C. (2014). The effect of cognitive stimulation on nursing home elders: A randomized controlled trial. Journal of Nursing Scholarship, 46(3), 157–166. https://doi.org/10.1111/jnu.12072
  • Balsis, S., Choudhury, T. K., Geraci, L., Benge, J. F., & Patrick, C. J. (2018). Alzheimer’s disease assessment: A review and illustrations focusing on item response theory techniques. Assessment, 25(3), 360–373. https://doi.org/10.1177/1073191117745125
  • Biundo, R., Weis, L., Bostantjopoulou, S., Stefanova, E., Falup-Pecurariu, C., Kramberger, M. G., Geurtsen, G. J., Antonini, A., Weintraub, D., & Aarsland, D. (2016). MMSE and MoCA in Parkinson’s disease and dementia with Lewy bodies: A multicenter 1-year follow-up study. Journal of Neural Transmission, 123(4), 431–438. https://doi.org/10.1007/s00702-016-1517-6
  • Browne, M. W. (1984). Asymptotically distribution-free methods for the analysis of covariance structures. British Journal of Mathematical and Statistical Psychology, 37(1), 62–83. https://doi.org/10.1111/j.2044-8317.1984.tb00789.x
  • Byrne, B. M., Shavelson, R. J., & Muthén, B. (1989). Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. Psychological Bulletin, 105(3), 456–466. https://doi.org/10.1037/0033-2909.105.3.456
  • Chen, S., Honda, T., Narazaki, K., Chen, T., Kishimoto, H., Haeuchi, Y., & Kumagai, S. (2018). Physical frailty is associated with longitudinal decline in global cognitive function in non-demented older adults: A prospective study. The Journal of Nutrition, Health & Aging, 22(1), 82–88. https://doi.org/10.1007/s12603-017-0924-1
  • Chu, L.-W., Ng, K. H., Law, A. C., Lee, A. M., & Kwan, F. (2015). Validity of the Cantonese Chinese Montreal cognitive assessment in Southern Chinese. Geriatrics & Gerontology International, 15(1), 96–103. https://doi.org/10.1111/ggi.12237
  • Costa, A. S., Reich, A., Fimm, B., Ketteler, S. T., Schulz, J. B., & Reetz, K. (2014). Evidence of the sensitivity of the MoCA alternate forms in monitoring cognitive change in early Alzheimer’s disease. Dementia and Geriatric Cognitive Disorders, 37(1–2), 95–103. https://doi.org/10.1159/000351864
  • Fischer, F., Gibbons, C., Coste, J., Valderas, J. M., Rose, M., & Leplège, A. (2018). Measurement invariance and general population reference values of the PROMIS profile 29 in the UK, France, and Germany. Quality of Life Research, 27(4), 999–1014. https://doi.org/10.1007/s11136-018-1785-8
  • Freitas, S., Simões, M. R., Alves, L., & Santana, I. (2013). Montreal cognitive assessment: Validation study for mild cognitive impairment and Alzheimer disease. Alzheimer Disease and Associated Disorders, 27(1), 37–43. https://doi.org/10.1097/WAD.0b013e3182420bfe
  • Hu, L.-T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
  • Jassal, S. V., & Farragher, J. F. (2020). MoCA: Turn your mind to it. Journal of the American Society of Nephrology, 31(4), 672–673. https://doi.org/10.1681/ASN.2020020173
  • Jorgensen, T. D., Pornprasertmanit, S., Schoemann, A. M., & Rosseel, Y. (2021). SemTools: Useful tools for structural equation modeling R package version 0.5-5. https://CRAN.R-project.org/package=semTools
  • Julayanont, P., & Nasreddine, Z. S. (2017). Montreal Cognitive Assessment (MoCA): Concept and clinical review. In L. A.j (Ed.), Cognitive screening instruments (pp. 139–195). Springer. https://doi.org/10.1007/978-3-319-44775-9_7
  • Krishnan, K., Rossetti, H., Hynan, L. S., Carter, K., Falkowski, J., Lacritz, L., Cullum, C. M., & Weiner, M. (2017). Changes in Montreal cognitive assessment scores over time. Assessment, 24(6), 772–777. https://doi.org/10.1177/1073191116654217
  • Lessig, S., Nie, D., Xu, R., & Corey-Bloom, J. (2012). Changes on brief cognitive instruments over time in Parkinson’s disease. Movement Disorders, 27(9), 1125–1128. https://doi.org/10.1002/mds.25070
  • Li, S., Cui, G., Jørgensen, K., Cheng, Z., Li, Z., & Xu, H. (2022). Psychometric properties and measurement invariance of the Chinese version of the brief assessment of impaired cognition questionnaire in community-dwelling older adults. Frontiers in Public Health, 10, 908827. https://doi.org/10.3389/fpubh.2022.908827
  • Liu, Y., Millsap, R. E., West, S. G., Tein, J.-Y., Tanaka, R., & Grimm, K. J. (2017). Testing measurement invariance in longitudinal data with ordered-categorical measures. Psychological Methods, 22(3), 486–506. https://doi.org/10.1037/met0000075
  • Liu, T., Wong, G. H., Luo, H., Tang, J. Y., Xu, J., Choy, J. C., & Lum, T. Y. (2018). Everyday cognitive functioning and global cognitive performance are differentially associated with physical frailty and chronological age in older Chinese men and women. Aging & Mental Health, 22(8), 936–941. https://doi.org/10.1080/13607863.2017.1320700
  • Livingston, G., Huntley, J., Sommerlad, A., Ames, D., Ballard, C., Banerjee, S., Brayne, C., Burns, A., Cohen-Mansfield, J., Cooper, C., Costafreda, S. G., Dias, A., Fox, N., Gitlin, L. N., Howard, R., Kales, H. C., Kivimäki, M., Larson, E. B., Ogunniyi, A., … Mukadam, N. (2020). Dementia prevention, intervention, and care: 2020 report of the Lancet Commission. Lancet (London, England), 396(10248), 413–446. https://doi.org/10.1016/S0140-6736(20)30367-6
  • Lum, T. Y., Lou, V. W., Chen, Y., Wong, G. H., Luo, H., & Tong, T. L. (2016). Neighborhood support and aging-in-place preference among low-income elderly Chinese city-dwellers. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 71(1), 98–105. https://doi.org/10.1093/geronb/gbu154
  • Luo, H., Andersson, B., Tang, J. Y., & Wong, G. H. (2020). Applying item response theory analysis to the Montreal cognitive assessment in a low-education older population. Assessment, 27(7), 1416–1428. https://doi.org/10.1177/1073191118821733
  • Ma, Y., Carlsson, C. M., Wahoske, M. L., Blazel, H. M., Chappell, R. J., Johnson, S. C., Asthana, S., & Gleason, C. E. (2021). Latent factor structure and measurement invariance of the NIH toolbox cognition battery in an Alzheimer’s Disease research sample. Journal of the International Neuropsychological Society, 27(5), 412–425. https://doi.org/10.1017/S1355617720000922
  • 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
  • Olsson, U. (1979). Maximum likelihood estimation of the polychoric correlation coefficient. Psychometrika, 44(4), 443–460. https://doi.org/10.1007/BF02296207
  • Paek, I., Li, Z., & Park, H.-J. (2016). Specifying ability growth models using a multidimensional item response model for repeated measures categorical ordinal item response data. Multivariate Behavioral Research, 51(4), 569–580. https://doi.org/10.1080/00273171.2016.1178567
  • Petersen, R. C., Roberts, R. O., Knopman, D. S., Boeve, B. F., Geda, Y. E., Ivnik, R. J., Smith, G. E., & Jack, C. R., Jr. (2009). Mild cognitive impairment: Ten years later. Archives of Neurology, 66(12), 1447–1455. https://doi.org/10.1001/archneurol.2009.266
  • Prieto, G., Delgado, A. R., Perea, M. V., & Ladera, V. (2011). Differential functioning of mini-mental test items according to disease. Neurología (English Edition), 26(8), 474–480. https://doi.org/10.1016/j.nrleng.2011.01.007
  • Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2), 1–36. https://doi.org/10.18637/jss.v048.i02
  • Samejima, F. (1969). Estimation of latent ability using a response pattern of graded scores. Psychometrika, Monograph Supplement No. 17 https://doi.org/10.1002/j.2333-8504.1968.tb00153.x
  • Sayegh, P., & Knight, B. G. (2014). Functional assessment and neuropsychiatric inventory questionnaires: Measurement invariance across hispanics and non-Hispanic whites. The Gerontologist, 54(3), 375–386. https://doi.org/10.1093/geront/gnt026
  • Shi, D., Maydeu-Olivares, A., & DiStefano, C. (2018). The relationship between the standardized root mean square residual and model misspecification in factor analysis models. Multivariate Behavioral Research, 53(5), 676–694. https://doi.org/10.1080/00273171.2018.1476221
  • Siciliano, M., Chiorri, C., Passaniti, C., Sant’Elia, V., Trojano, L., & Santangelo, G. (2019). Comparison of alternate and original forms of the Montreal Cognitive Assessment (MoCA): An Italian normative study. Neurological Sciences, 40(4), 691–702. https://doi.org/10.1007/s10072-019-3700-7
  • Takane, Y., & de Leeuw, J. (1987). On the relationship between item response theory and factor analysis of discretized variables. Psychometrika, 52(3), 393–408. https://doi.org/10.1007/BF02294363
  • Tang, J. Y. M., Wong, G. H. Y., Luo, H., Liu, T., & Lum, T. Y. S. (2020). Cognitive changes associated with mentally active lifestyle and structured cognitive programs: A 2-year longitudinal study. Aging & Mental Health, 24(11), 1781–1788. https://doi.org/10.1080/13607863.2019.1636204
  • Tsai, C.-F., Lee, W.-J., Wang, S.-J., Shia, B.-C., Nasreddine, Z., & Fuh, J.-L. (2012). Psychometrics of the Montreal Cognitive Assessment (MoCA) and its subscales: Validation of the Taiwanese version of the MoCA and an item response theory analysis. International Psychogeriatrics, 24(4), 651–658. https://doi.org/10.1017/S1041610211002298
  • Wong, A., Law, L. S., Liu, W., Wang, Z., Lo, E. S., Lau, A., Wong, L. K., & Mok, V. C. (2015). Montreal cognitive assessment: One cutoff never fits all. Stroke, 46(12), 3547–3550. https://doi.org/10.1161/STROKEAHA.115.011226
  • Wong, A., Yiu, S., Nasreddine, Z., Leung, K. T., Lau, A., Soo, Y., Wong, L. K., & Mok, V. (2018). Validity and reliability of two alternate versions of the Montreal cognitive assessment (Hong Kong version) for screening of mild neurocognitive disorder. Plos one, 13(5). https://doi.org/10.1371/journal.pone.0196344
  • World Health Organization. (2021). World health organization fact sheet - dementia. https://www.who.int/news-room/fact-sheets/detail/dementia
  • Wu, H., & Estabrook, R. (2016). Identification of confirmatory factor analysis models of different levels of invariance for ordered categorical outcomes. Psychometrika, 81(4), 1014–1045. https://doi.org/10.1007/s11336-016-9506-0