Skip to main content

Advertisement

Log in

Cognitive reserve estimated with a life experience questionnaire outperforms education in predicting performance on MoCA: Italian normative data

  • Published:
Current Psychology Aims and scope Submit manuscript

Abstract

Normative data of neuropsychological tests typically consider the effect of demographic variables like age and education on performance. However, a broad literature has shown that, after the school age, other cognitively stimulating experiences (e.g., occupational attainment and a variety of leisure-time activities) may increase and build up cognitive reserve (CR), which is positively associated with better performance in many neuropsychological tests. With these premises, we investigated the predictive capability of education and a life-experience proxy of CR on a widely used cognitive screening, i.e., the Montreal Cognitive Assessment (MoCA).

Results show that models including the more comprehensive life-experience CR proxy performed better than models including Education. Based on the results of our analyses we provide normative data and cut-offs on 440 Italian individuals aged 50-90 years, by taking into account, for the first time for the Italian population, a CR index, together with demographic variables and Education, in the calculation of regression-based norms.

Accounting for life-experience CR proxies can improve the accuracy of normative data and allow a finer estimation of cognitive performance, which lead to a more tailored approach to patient assessment.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Data Availability

The dataset analysed during the current study is available in the Open Science Framework (OSF) repository https://osf.io/y4jzs/

References

  • Aiello, E. N., Gramegna, C., Esposito, A., Gazzaniga, V., Zago, S., Difonzo, T., Maddaluno, O., Appollonio, I., & Bolognini, N. (2021). The Montreal cognitive assessment (MoCA): Updated norms and psychometric insights into adaptive testing from healthy individuals in northern Italy. Aging Clinical and Experimental Research. https://doi.org/10.1007/s40520-021-01943-7

  • Al-Sharman, A., Khalil, H., El-Salem, K., Alghwiri, A. A., Khazaaleh, S., & Khraim, M. (2019). Motor performance improvement through virtual reality task is related to fatigue and cognition in people with multiple sclerosis. Physiotherapy Research International, 24(4). https://doi.org/10.1002/pri.1782

  • Altieri, M., Siciliano, M., Pappacena, S., Roldán-Tapia, M. D., Trojano, L., & Santangelo, G. (2018). Psychometric properties of the Italian version of the cognitive reserve scale (I-CRS). Neurological Sciences, 39(8), 1383–1390. https://doi.org/10.1007/s10072-018-3432-0

    Article  PubMed  Google Scholar 

  • Anapa, G., Roheger, M., Seven, Ü. S., Liebermann-Jordanidis, H., Onur, O. A., Kessler, J., & Kalbe, E. (2021). Effects of sociodemographic variables and depressive symptoms on Moca test performance in native germans and turkish migrants in Germany. International Journal of Environmental Research and Public Health, 18(12). https://doi.org/10.3390/ijerph18126335

  • Anatürk, M., Kaufmann, T., Cole, J. H., Suri, S., Griffanti, L., Zsoldos, E., Filippini, N., Singh-Manoux, A., Kivimäki, M., Westlye, L. T., Ebmeier, K. P., & de Lange, A. M. G. (2021). Prediction of brain age and cognitive age: Quantifying brain and cognitive maintenance in aging. Human Brain Mapping, 42(6). https://doi.org/10.1002/hbm.25316

  • Arcara, G., & Bambini, V. (2016). A test for the assessment of pragmatic abilities and cognitive substrates (APACS): Normative data and psychometric properties. Frontiers in Psychology, 7(FEB), 1–13. https://doi.org/10.3389/fpsyg.2016.00070

    Article  Google Scholar 

  • Arcara, G., Mondini, S., Bisso, A., Palmer, K., Meneghello, F., & Semenza, C. (2017). The relationship between cognitive reserve and math abilities. Frontiers in Aging Neuroscience, 9(December). https://doi.org/10.3389/fnagi.2017.00429

  • Arcara, G., Burgio, F., Benavides-Varela, S., Toffano, R., Gindri, P., Tonini, E., Meneghello, F., & Semenza, C. (2019). Numerical Activities of Daily Living–Financial (NADL-F): A tool for the assessment of financial capacities‡. Neuropsychological Rehabilitation, 29(7). https://doi.org/10.1080/09602011.2017.1359188

  • Artemiadis, A., Bakirtzis, C., Ifantopoulou, P., Zis, P., Bargiotas, P., Grigoriadis, N., & Hadjigeorgiou, G. (2020). The role of cognitive reserve in multiple sclerosis: A cross-sectional study in 526 patients. Multiple Sclerosis and Related Disorders, 41. https://doi.org/10.1016/j.msard.2020.102047

  • Barulli, D., & Stern, Y. (2013). Emerging concepts in cognitive reserve. Trends Cognitive Sciences, 17(10), 1–17. https://doi.org/10.1016/j.tics.2013.08.012.Efficiency

    Article  Google Scholar 

  • Berggren, R., Nilsson, J., & Lövdén, M. (2018). Education does not affect cognitive decline in aging: A Bayesian assessment of the association between education and change in cognitive performance. Frontiers in Psychology, 9(JUL), 1–9. https://doi.org/10.3389/fpsyg.2018.01138

    Article  Google Scholar 

  • Biundo, R., Weis, L., Facchini, S., Formento-Dojot, P., Vallelunga, A., Pilleri, M., & Antonini, A. (2014). Cognitive profiling of Parkinson disease patients with mild cognitive impairment and dementia. Parkinsonism and Related Disorders, 20(4), 394–399. https://doi.org/10.1016/j.parkreldis.2014.01.009

    Article  PubMed  Google Scholar 

  • Blair, M., Coleman, K., Jesso, S., Desbeaumes Jodoin, V., Smolewska, K., Warriner, E., Finger, E., & Pasternak, S. H. (2016). Depressive symptoms negatively impact Montreal cognitive assessment performance: A memory clinic experience. Canadian Journal of Neurological Sciences, 43(4). https://doi.org/10.1017/cjn.2015.399

  • Borland, E., Nägga, K., Nilsson, P. M., Minthon, L., Nilsson, E. D., & Palmqvist, S. (2017). The Montreal cognitive assessment: Normative data from a large Swedish population-based cohort. Journal of Alzheimer’s Disease, 59(3). https://doi.org/10.3233/JAD-170203

  • Burham KP, Anderson DR (2002) Model selection and multimodel inference: a practical information-theoretic approach. Springer-Verlag, New York

  • Busch, R. M., & Chapin, J. S. (2008). Review of normative data for common screening measures used to evaluate cognitive functioning in elderly individuals. In. The Clinical Neuropsychologist, 22(4). https://doi.org/10.1080/13854040701448793

  • Cabeza, R., Albert, M., Belleville, S., Craik, F. I. M., Duarte, A., Grady, C. L., Lindenberger, U., Nyberg, L., Park, D. C., Reuter-Lorenz, P. A., Rugg, M. D., Steffener, J., & Rajah, M. N. (2018a). Maintenance, reserve and compensation: The cognitive neuroscience of healthy ageing. Nature Reviews Neuroscience, 19(11), 701–710. https://doi.org/10.1038/s41583-018-0068-2

    Article  PubMed  PubMed Central  Google Scholar 

  • Cesar, K. G., Yassuda, M. S., Porto, F. H. G., Brucki, S. M. D., & Nitrini, R. (2019). MoCA test: Normative and diagnostic accuracy data for seniors with heterogeneous educational levels in Brazil. Arquivos de Neuro-Psiquiatria, 77(11). https://doi.org/10.1590/0004-282X20190130

  • Chan, D., Shafto, M., Kievit, R., Matthews, F., Spink, M., Valenzuela, M., & Henson, R. N. (2018). Lifestyle activities in mid-life contribute to cognitive reserve in late-life, independent of education, occupation, and late-life activities. Neurobiology of Aging. https://doi.org/10.1016/j.neurobiolaging.2018.06.012

  • Chen, L. K., Hwang, A. C., Lee, W. J., Peng, L. N., Lin, M. H., Neil, D. L., Shih, S. F., Loh, C. H., & Chiou, S. T. (2020). Efficacy of multidomain interventions to improve physical frailty, depression and cognition: Data from cluster-randomized controlled trials. Journal of Cachexia, Sarcopenia and Muscle, 11(3). https://doi.org/10.1002/jcsm.12534

  • 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. Psychiatria Polska, 50(5). https://doi.org/10.12740/pp/45368

  • Cohen, E. S. (2007). Chapter Eleven. Evolving the history of women in early modern Italy: Subordination and agency. In Spain in Italy (pp. 325-354). Brill. https://doi.org/10.1163/ej.9789004154292.i-606.49

  • Conti, S., Bonazzi, S., Laiacona, M., Masina, M., & Coralli, M. V. (2015). Montreal cognitive assessment (MoCA)-Italian version: Regression based norms and equivalent scores. Neurological Sciences. https://doi.org/10.1007/s10072-014-1921-3

  • Crawford, J. R., & Garthwaite, P. H. (2006). Comparing patients’ predicted test scores from a regression equation with their obtained scores: A significance test and point estimate of abnormality with accompanying confidence limits. Neuropsychology, 20(3), 259–271. https://doi.org/10.1037/0894-4105.20.3.259

    Article  PubMed  Google Scholar 

  • Crawford, J. R., Howell, D. C., & Garthwaite, P. H. (1998). Payne and Jones revisited: Estimating the abnormality of test score differences using a modified paired samples t test. Journal of Clinical and Experimental Neuropsychology, 20(6). https://doi.org/10.1076/jcen.20.6.898.1112

  • Crawford, J. R., Garthwaite, P. H., & Porter, S. (2010). Point and interval estimates of effect sizes for the case-controls design in neuropsychology: Rationale, methods, implementations, and proposed reporting standards. Cognitive Neuropsychology, 27(3), 245–260. https://doi.org/10.1080/02643294.2010.513967

    Article  PubMed  Google Scholar 

  • Dong, Y., Sharma, V. K., Chan, B. P. L., Venketasubramanian, N., Teoh, H. L., Seet, R. C. S., Tanicala, S., Chan, Y. H., & Chen, C. (2010). The Montreal cognitive assessment (MoCA) is superior to the Mini-mental state examination (MMSE) for the detection of vascular cognitive impairment after acute stroke. Journal of the Neurological Sciences, 299(1–2). https://doi.org/10.1016/j.jns.2010.08.051

  • Engedal, K., Gjøra, L., Bredholt, T., Thingstad, P., Tangen, G. G., Ernstsen, L., & Selbæk, G. (2021). Sex differences on Montreal cognitive assessment and Mini-mental state examination scores and the value of self-report of memory problems among community dwelling people 70 years and above: The HUNT study. Dementia and Geriatric Cognitive Disorders. https://doi.org/10.1159/000516341

  • Farrer, L. A., Cupples, L. A., Haines, J. L., Hyman, B., Kukull, W. A., Mayeux, R., Myers, R. H., Pericak-Vance, M. A., Risch, N., & Van Duijn, C. M. (1997). Effects of age, sex, and ethnicity on the association between apolipoprotein E genotype and Alzheimer disease: A meta-analysis. In. Journal of the American Medical Association, 278(16). https://doi.org/10.1001/jama.278.16.1349

  • Fratiglioni, L., Paillard-Borg, S., & Winblad, B. (2004). An active and socially integrated lifestyle in late life might protect against dementia. The Lancet Neurology, 3(6), 343–353. https://doi.org/10.1016/S1474-4422(04)00767-7

    Article  PubMed  Google Scholar 

  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Prentice Hall.

    Google Scholar 

  • Halpern, D. F. (1996). Public policy implications of sex differences in cognitive abilities. Psychology, Public Policy, and Law, 2(3–4). https://doi.org/10.1037/1076-8971.2.3-4.561

  • Hastie, T., & Tibshirani, R. (1986). Generalized additive models. Statistical Science, 1(3). https://doi.org/10.1214/ss/1177013604

  • Hohman, T. J., Tommet, D., Marks, S., Contreras, J., Jones, R., & Mungas, D. (2017). Evaluating Alzheimer’s disease biomarkers as mediators of age-related cognitive decline. Neurobiology of Aging, 58. https://doi.org/10.1016/j.neurobiolaging.2017.06.022

  • Iacobucci, D., Schneider, M. J., Popovich, D. L., & Bakamitsos, G. A. (2016). Mean centering helps alleviate “micro” but not “macro” multicollinearity. Behavior Research Methods, 48(4). https://doi.org/10.3758/s13428-015-0624-x

  • Jefferson, A. L., Gibbons, L. E., Rentz, D. M., Carvalho, J. O., Manly, J., Bennett, D. A., & Jones, R. N. (2011). A life course model of cognitive activities, socioeconomic status, education, reading ability, and cognition. Journal of the American Geriatrics Society. https://doi.org/10.1111/j.1532-5415.2011.03499.x

  • Jockwitz, C., Mérillat, S., Liem, F., Oschwald, J., Amunts, K., Caspers, S., & Jäncke, L. (2019). Generalizing age effects on brain structure and cognition: A two-study comparison approach. Human Brain Mapping, 40(8). https://doi.org/10.1002/hbm.24524

  • Kang, J. M., Cho, Y. S., Park, S., Lee, B. H., Sohn, B. K., Choi, C. H., Choi, J. S., Jeong, H. Y., Cho, S. J., Lee, J. H., & Lee, J. Y. (2018). Montreal cognitive assessment reflects cognitive reserve. BMC Geriatrics, 18(1). https://doi.org/10.1186/s12877-018-0951-8

  • Kartschmit, N., Mikolajczyk, R., Schubert, T., & Lacruz, M. E. (2019). Measuring cognitive reserve (CR) – A systematic review of measurement properties of CR questionnaires for the adult population. PLoS One, 14(8). https://doi.org/10.1371/journal.pone.0219851

  • Katzman, R., Terry, R., DeTeresa, R., Brown, T., Davies, P., Fuld, P., Renbing, X., & Peck, A. (1988). Clinical, pathological, and neurochemical changes in dementia: A subgroup with preserved mental status and numerous neocortical plaques. Annals of Neurology, 23(2), 138–144. https://doi.org/10.1002/ana.410230206

    Article  PubMed  Google Scholar 

  • Katzman, R., Aronson, M., Fuld, P., Kawas, C., Brown, T., Morgenstern, H., Frishman, W., Gidez, L., Eder, H., & Ooi, W. L. (1989). Development of dementing illnesses in an 80-year-old volunteer cohort. Annals of Neurology, 25(4), 317–324. https://doi.org/10.1002/ana.410250402

    Article  PubMed  Google Scholar 

  • Kittner, S. J., White, L. R., Farmer, M. E., Wolz, M., Kaplan, E., Moes, E., Brody, J. A., & Feinleib, M. (1986). Methodological issues in screening for dementia: The problem of education adjustment. Journal of Chronic Diseases, 39(3). https://doi.org/10.1016/0021-9681(86)90019-6

  • Kopecek, M., Stepankova, H., Lukavsky, J., Ripova, D., Nikolai, T., & Bezdicek, O. (2017). Montreal cognitive assessment (MoCA): Normative data for old and very old Czech adults. Applied Neuropsychology:Adult, 24(1). https://doi.org/10.1080/23279095.2015.1065261

  • Kujawski, S., Kujawska, A., Gajos, M., Topka, W., Perkowski, R., Androsiuk-Perkowska, J., Newton, J. L., Zalewski, P., & Kędziora-Kornatowska, K. (2018). Cognitive functioning in older people. Results of the first wave of cognition of older people, education, recreational activities, nutrition, comorbidities, functional capacity studies (COPERNICUS). Frontiers in Aging Neuroscience, 10. https://doi.org/10.3389/fnagi.2018.00421

  • Lavrencic, L. M., Richardson, C., Harrison, S. L., Muniz-Terrera, G., Keage, H. A. D., Brittain, K., Kirkwood, T. B. L., Jagger, C., Robinson, L., & Stephan, B. C. M. (2018). Is there a link between cognitive reserve and cognitive function in the oldest-old? Journals of Gerontology - Series A Biological Sciences and Medical Sciences, 73(4). https://doi.org/10.1093/gerona/glx140

  • Le Carret, N., Lafont, S., Letenneur, L., Dartigues, J. F., Mayo, W., & Fabrigoule, C. (2003). The effect of education on cognitive performances and its implication for the constitution of the cognitive reserve. In Developmental Neuropsychology. https://doi.org/10.1207/S15326942DN2303_1.

  • Le Carret, N., Auriacombe, S., Letenneur, L., Bergua, V., Dartigues, J. F., & Fabrigoule, C. (2005). Influence of education on the pattern of cognitive deterioration in AD patients: The cognitive reserve hypothesis. Brain and Cognition, 57(2), 120–126. https://doi.org/10.1016/j.bandc.2004.08.031

    Article  PubMed  Google Scholar 

  • Lee, D. H., Lee, P., Seo, S. W., Roh, J. H., Oh, M., Oh, J. S., Oh, S. J., Kim, J. S., & Jeong, Y. (2019). Neural substrates of cognitive reserve in Alzheimer’s disease spectrum and normal aging. NeuroImage, 186, 690–702. https://doi.org/10.1016/j.neuroimage.2018.11.053

    Article  PubMed  Google Scholar 

  • Leoń, I., Garciá-García, J., & Roldań-Tapia, L. (2014). Estimating cognitive reserve in healthy adults using the cognitive reserve scale. PLoS One, 9(7). https://doi.org/10.1371/journal.pone.0102632

  • Levine, D. A., Gross, A. L., Briceño, E. M., Tilton, N., Giordani, B. J., Sussman, J. B., Hayward, R. A., Burke, J. F., Hingtgen, S., Elkind, M. S. V., Manly, J. J., Gottesman, R. F., Gaskin, D. J., Sidney, S., Sacco, R. L., Tom, S. E., Wright, C. B., Yaffe, K., & Galecki, A. T. (2021). Sex differences in cognitive decline among US adults. JAMA Network Open, 4(2). https://doi.org/10.1001/jamanetworkopen.2021.0169

  • Livingston, G., Sommerlad, A., Orgeta, V., Costafreda, S. G., Huntley, J., Ames, D., Ballard, C., Banerjee, S., Burns, A., Cohen-Mansfield, J., Cooper, C., Fox, N., Gitlin, L. N., Howard, R., Kales, H. C., Larson, E. B., Ritchie, K., Rockwood, K., Sampson, E. L., … Mukadam, N. (2017). Dementia prevention, intervention, and care. In The lancet (Vol. 390, issue 10113). https://doi.org/10.1016/S0140-6736(17)31363-6.

  • Madden, D. J., Jain, S., Monge, Z. A., Cook, A. D., Lee, A., Huang, H., Howard, C. M., & Cohen, J. R. (2020). Influence of structural and functional brain connectivity on age-related differences in fluid cognition. Neurobiology of Aging, 96. https://doi.org/10.1016/j.neurobiolaging.2020.09.010

  • Maiovis, P., Ioannidis, P., Gerasimou, G., Gotzamani-Psarrakou, A., & Karacostas, D. (2018). Cognitive reserve hypothesis in frontotemporal dementia: Evidence from a brain SPECT study in a series of Greek frontotemporal dementia patients. Neurodegenerative Diseases, 18(2–3). https://doi.org/10.1159/000486621

  • Malek-Ahmadi, M., Powell, J. J., Belden, C. M., Oconnor, K., Evans, L., Coon, D. W., & Nieri, W. (2015). Age-and education-adjusted normative data for the Montreal cognitive assessment (MoCA) in older adults age 70-99. Aging, Neuropsychology, and Cognition, 22(6). https://doi.org/10.1080/13825585.2015.1041449

  • Malek-Ahmadi, M., O’Connor, K., Schofield, S., Coon, D. W., & Zamrini, E. (2018). Trajectory and variability characterization of the Montreal cognitive assessment in older adults. Aging Clinical and Experimental Research, 30(8). https://doi.org/10.1007/s40520-017-0865-x

  • Mann, V. A., Sasanuma, S., Sakuma, N., & Masaki, S. (1990). Sex differences in cognitive abilities: A cross-cultural perspective. Neuropsychologia, 28(10). https://doi.org/10.1016/0028-3932(90)90141-A

  • Mielke, M. M., Vemuri, P., & Rocca, W. A. (2014). Clinical epidemiology of Alzheimer’s disease: Assessing sex and gender differences. Clinical Epidemiology, 6(1). https://doi.org/10.2147/CLEP.S37929

  • Mondini, S., Pucci, V., Montemurro, S., & Rumiati, R. I. (2022). Protective factors for subjective cognitive decline individuals: trajectories and changes in a longitudinal study with Italian elderly. European Journal of Neurology, 29(3), 691–697. https://doi.org/10.1111/ene.15183

    Article  PubMed  Google Scholar 

  • Montemurro, S., Mondini, S., Crovace, C., & Jarema, G. (2019a). Cognitive reserve and its effect in older adults on retrieval of proper names, Logo Names and Common Nouns. Frontiers in Communication. https://doi.org/10.3389/fcomm.2019.00014

    Book  Google Scholar 

  • Montemurro, S., Mondini, S., Signorini, M., Marchetto, A., Bambini, V., & Arcara, G. (2019b). Pragmatic language disorder in Parkinson’s disease and the potential effect of cognitive reserve. Frontiers in Psychology, 10(JUN). https://doi.org/10.3389/fpsyg.2019.01220

  • Montemurro, S., Jarema, G., & Mondini, S. (2021a). Cognitive reserve and language processing demand in healthy older adults. Language, Cognition and Neuroscience, 1–15. https://doi.org/10.1080/23273798.2021.1896012

  • Montemurro, S., Mondini, S., & Arcara, G. (2021b). Heterogeneity of effects of cognitive reserve on performance in probable Alzheimer’s disease and in subjective cognitive decline. Neuropsychology, 35(8). https://doi.org/10.1037/neu0000770

  • Myakotnykh, V. S., Sidenkova, A. P., Ostapchuk, E. S., Kulakova, I. A., Belikh, N. A., & Borovkova, T. A. (2020). Cognitive aging and cognitive reserve: Points of contact. Advances in Gerontology, 10(4). https://doi.org/10.1134/S2079057020040165

  • 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

    Article  PubMed  Google Scholar 

  • Nucci, M., Mapelli, D., & Mondini, S. (2012). Cognitive reserve index questionnaire (CRIq): a new instrument for measuring cognitive reserve. Aging Clinical and Experimental Research, 24(3), 218–226. https://doi.org/10.3275/7800

    Article  PubMed  Google Scholar 

  • O’Driscoll, C., & Shaikh, M. (2017). Cross-cultural applicability of the Montreal cognitive assessment (MoCA): A systematic review. Journal of Alzheimer’s Disease, 58(3). https://doi.org/10.3233/JAD-161042

  • Ozakbas, S., Yigit, P., Akyuz, Z., Sagici, O., Abasiyanik, Z., Ozdogar, A. T., Kahraman, T., Bozan, H. R., & Hosgel, I. (2021). Validity and reliability of “cognitive reserve index questionnaire” for the Turkish population. Multiple Sclerosis and Related Disorders, 50. https://doi.org/10.1016/j.msard.2021.102817

  • Peeters, G., Kenny, R. A., & Lawlor, B. (2020). Late life education and cognitive function in older adults. International Journal of Geriatric Psychiatry, 35(6). https://doi.org/10.1002/gps.5281

  • Pirrotta, F., Timpano, F., Bonanno, L., Nunnari, D., Marino, S., Bramanti, P., & Lanzafame, P. (2015). Italian validation of Montreal cognitive assessment. European Journal of Psychological Assessment, 31(2). https://doi.org/10.1027/1015-5759/a000217

  • Proust-Lima, C., Amieva, H., Dartigues, J. F., & Jacqmin-Gadda, H. (2007). Sensitivity of four psychometric tests to measure cognitive changes in brain aging-population-based studies. American Journal of Epidemiology, 165(3). https://doi.org/10.1093/aje/kwk017

  • R Core Team (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/

  • Reed, B. R., Dowling, M., Tomaszewski Farias, S., Sonnen, J., Strauss, M., Schneider, J. A., Bennett, D. A., & Mungas, D. (2011). Cognitive activities during adulthood are more important than education in building reserve. Journal of the International Neuropsychological Society, 17(4), 615–624. https://doi.org/10.1017/S1355617711000014

    Article  PubMed  PubMed Central  Google Scholar 

  • Reilly, D., Neumann, D. L., & Andrews, G. (2016). Sex and sex-role differences in specific cognitive abilities. Intelligence, 54. https://doi.org/10.1016/j.intell.2015.12.004

  • Reitan, R. M. (1958). Validity of the trail making test as an Indicator of organic brain damage. Perceptual and Motor Skills, 8(3). https://doi.org/10.2466/pms.1958.8.3.271

  • van Rij, J., Wieling, M., Baayen, R., & van Rijn, H. (2020). “itsadug: Interpreting Time Series and Autocorrelated Data Using GAMMs.” R package version 2.4.

  • Roalf, D. R., Moberg, P. J., Xie, S. X., Wolk, D. A., Moelter, S. T., & Arnold, S. E. (2013). Comparative accuracies of two common screening instruments for classification of Alzheimer’s disease, mild cognitive impairment, and healthy aging. Alzheimer’s and Dementia, 9(5). https://doi.org/10.1016/j.jalz.2012.10.001

  • Rosca, E. C., Albarqouni, L., & Simu, M. (2019). Montreal cognitive assessment (MoCA) for HIV-associated neurocognitive disorders. Neuropsychology Review, 29(3). https://doi.org/10.1007/s11065-019-09412-9

  • Sakamoto, Y., Ishiguro, M., & Kitagawa, G. (1986). Akaike information criterion statistics. KTK Scientific Publishers ; D. Reidel ; Sold and distributed in the U.S.A. and Canada by Kluwer Academic Publishers.

  • Salthouse, T. A. (1993). Speed and knowledge as determinants of adult age differences in verbal tasks. Journals of Gerontology, 48(1). https://doi.org/10.1093/geronj/48.1.P29

  • Salthouse, T. A. (1996). The processing-speed theory of adult age differences in cognition. Psychological Review, 103(3). https://doi.org/10.1037/0033-295X.103.3.403

  • Santangelo, G., Siciliano, M., Pedone, R., Vitale, C., Falco, F., Bisogno, R., Siano, P., Barone, P., Grossi, D., Santangelo, F., & Trojano, L. (2015). Normative data for the Montreal cognitive assessment in an Italian population sample. Neurological Sciences, 36(4). https://doi.org/10.1007/s10072-014-1995-y

  • Scarmeas, N., & Stern, Y. (2003). Cognitive reserve and lifestyle. Journal of Clinical and Experimental Neuropsychology. https://doi.org/10.1076/jcen.25.5.625.14576

  • Scarmeas, N., Levy, G., Tang, M. X., Manly, J., & Stern, Y. (2001). Influence of leisure activity on the incidence of Alzheimer’s disease. Neurology, 57(12), 2236–2242. https://doi.org/10.1212/wnl.57.12.2236

    Article  PubMed  Google Scholar 

  • 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). https://doi.org/10.1007/s10072-019-3700-7

  • Snowdon, D. (1997). Aging and Alzheimer’s disease: Lessons from the Nun study. Gerontologist., 37(2), 150–156.

    Article  PubMed  Google Scholar 

  • Snowdon, D. A., Kemper, S. J., Mortimer, J. A., Greiner, L. H., Wekstein, D. R., & Markesbery, W. R. (1996). Linguistic ability in early life and cognitive function and Alzheimer’s disease in late life: Findings from the Nun study. JAMA: The Journal of the American Medical Association, 275(7), 528–532. https://doi.org/10.1001/jama.1996.03530310034029

    Article  PubMed  Google Scholar 

  • Steffener, J., & Stern, Y. (2012). Exploring the neural basis of cognitive reserve in aging. Biochimica et Biophysica Acta - Molecular Basis of Disease, 1822(3). https://doi.org/10.1016/j.bbadis.2011.09.012

  • Stern, Y. (2002). What is cognitive reserve? Theory and research application of the reserve concept. Journal of the International Neuropsychological Society, 8, 448–460.

    Article  PubMed  Google Scholar 

  • Stern, Y., Alexander, G. E., Prohovnik, I., & Mayeux, R. (1992). Inverse relationship between education and parietotemporal perfusion deficit in Alzheimer’s disease. Annals of Neurology. https://doi.org/10.1002/ana.410320311

  • Stern, Y., Alexander, G. E., Prohovnik, I., Stricks, L., Link, B., Lennon, M. C., & Mayeux, R. (1995a). Relationship between lifetime occupation and parietal flow. Neurology, 45(1) 55LP – 60. https://doi.org/10.1212/WNL.45.1.55

  • Stern, Y., Tang, M. X., Denaro, J., & Mayeux, R. (1995b). Increased risk of mortality in alzheimer’s disease patients with more advanced educational and occupational attainment. Annals of Neurology. https://doi.org/10.1002/ana.410370508

  • Stern, Y., Arenaza-Urquijo, E. M., Bartrés-Faz, D., Belleville, S., Cantilon, M., Chetelat, G., Ewers, M., Franzmeier, N., Kempermann, G., Kremen, W. S., Okonkwo, O., Scarmeas, N., Soldan, A., Udeh-Momoh, C., Valenzuela, M., Vemuri, P., Vuoksimaa, E., Arenaza Urquiljo, E. M., Bartrés-Faz, D., et al. (2018a). Whitepaper: Defining and investigating cognitive reserve, brain reserve, and brain maintenance. Alzheimer’s and Dementia. https://doi.org/10.1016/j.jalz.2018.07.219

  • Stern, Y., Gazes, Y., Razlighi, Q., Steffener, J., & Habeck, C. (2018b). A task-invariant cognitive reserve network. NeuroImage, 178. https://doi.org/10.1016/j.neuroimage.2018.05.033

  • Stern, Y., Barnes, C. A., Grady, C., Jones, R. N., & Raz, N. (2019). Brain reserve, cognitive reserve, compensation, and maintenance: Operationalization, validity, and mechanisms of cognitive resilience. Neurobiology of Aging, 83, 124–129. https://doi.org/10.1016/j.neurobiolaging.2019.03.022

    Article  PubMed  PubMed Central  Google Scholar 

  • Strauss, E., Sherman, E. M. S., & Spreen, O. (2006). A compendium of neuropsychological tests: Administration, norms, and commentary (3rd ed.). Oxford University press (April 6, 2006).

    Google Scholar 

  • Subramaniapillai, S., Almey, A., Natasha Rajah, M., & Einstein, G. (2021). Sex and gender differences in cognitive and brain reserve: Implications for Alzheimer’s disease in women. In. Frontiers in Neuroendocrinology, 60. https://doi.org/10.1016/j.yfrne.2020.100879

  • Symonds, M. R. E., & Moussalli, A. (2011). A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike’s information criterion. In. Behavioral Ecology and Sociobiology, 65(1). https://doi.org/10.1007/s00265-010-1037-6

  • Valenzuela, M. J., & Sachdev, P. (2007). Assessment of complex mental activity across the lifespan: Development of the lifetime of experiences questionnaire (LEQ). Psychological Medicine. https://doi.org/10.1017/S003329170600938X

  • Verhaeghen, P. (2003). Aging and vocabulary scores: A meta-analysis. Psychology and Aging, 18(2). https://doi.org/10.1037/0882-7974.18.2.332

  • Verhaeghen, P., & Salthouse, T. A. (1997). Meta-analyses of age-cognition relations in adulthood: Estimates of linear and nonlinear age effects and structural models. Psychological Bulletin, 122(3). https://doi.org/10.1037/0033-2909.122.3.231

  • Ward, D. D., Summers, M. J., Saunders, N. L., Ritchie, K., Summers, J. J., & Vickers, J. C. (2015). The BDNF Val66Met polymorphism moderates the relationship between cognitive reserve and executive function. Translational Psychiatry, 5(6). https://doi.org/10.1038/tp.2015.82

  • White, L., Katzman, R., Losonczy, K., Salive, M., Wallace, R., Berkman, L., Taylor, J., Fillenbaum, G., & Havlik, R. (1994). Association of education with incidence of cognitive impairment in three established populations for epidemiologic studies of the elderly. Journal of Clinical Epidemiology, 47(4), 363–374. https://doi.org/10.1016/0895-4356(94)90157-0

    Article  PubMed  Google Scholar 

  • Wöbbeking-Sánchez, M., Bonete-López, B., Cabaco, A. S., Urchaga-Litago, J. D., & Afonso, R. M. (2020). Relationship between cognitive reserve and cognitive impairment in autonomous and institutionalized older adults. International Journal of Environmental Research and Public Health, 17(16). https://doi.org/10.3390/ijerph17165777

  • Wood, S. N. (2017). Generalized Additive Models: An Introduction with R (2nd Ed). Chapman and Hall/CRC.

  • Yeudall, L. T., Fromm, D., Reddon, J. R., & Stefanyk, W. O. (1986). Normative data stratified by age and sex for 12 neuropsychological tests. Journal of Clinical Psychology, 42(6).

  • Yu, R. L., Lee, W. J., Li, J. Y., Chang, Y. Y., Chen, C. C., Lin, J. J., Sung, Y. F., Lin, T. K., & Fuh, J. L. (2020). Evaluating mild cognitive dysfunction in patients with Parkinson’s disease in clinical practice in Taiwan. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-58042-2

  • Zhang, M., Katzman, R., Salmon, D., Jin, H., Cai, G., Wang, Z., Qu, G., Grant, I., Yu, E., Levy, P., Klauber, M. R., & Liu, W. T. (1990). The prevalence of dementia and Alzheimer’s disease in Shanghai, China: Impact of age, gender, and education. Annals of Neurology, 27(4), 428–437. https://doi.org/10.1002/ana.410270412

    Article  PubMed  Google Scholar 

  • Zhang, J., Zhou, W., Wang, L., & Zhang, X. (2017). Gender differences of neuropsychological profiles in cognitively normal older people without amyloid pathology. Comprehensive Psychiatry, 75. https://doi.org/10.1016/j.comppsych.2017.02.008

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sonia Montemurro.

Ethics declarations

Competing Interests

On behalf of all authors, the corresponding author states that there is no conflict of interest that are directly or indirectly related to the work submitted for publication.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

ESM 1

(DOCX 12631 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Montemurro, S., Daini, R., Tagliabue, C. et al. Cognitive reserve estimated with a life experience questionnaire outperforms education in predicting performance on MoCA: Italian normative data. Curr Psychol 42, 19503–19517 (2023). https://doi.org/10.1007/s12144-022-03062-6

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12144-022-03062-6

Keywords

Navigation