Abstract
Background: The Montreal Cognitive Assessment (MoCA) is widely used for cognitive screening, but its dimensionality
and domain-specific accuracy require validation with methods for ordinal items. The objective was to analyze the internal
structure of the MoCA in a cognitive impairment-free Spanish community sample and examine its relationship with
variables potentially related to the risk of cognitive impairment. Method: A total of 1,767 Spanish adults (aged 18-89
years) were assessed in primary care centers using the MoCA, and sociodemographic and health variables were recorded.
Internal structure and metric properties were analyzed using factor models and item response theory, as well as their
association with external variables and the concordance of the resulting solution. Results: The theoretical models tested
did not demonstrate adequate fit. Cross-validation identified a 12-item solution in two correlated factors (Memory and
Multiple), with excellent fit (CFI = .991; RMSEA = .019) and latent correlation r = .63. The abbreviated version showed
high concordance with the total score (ICC = .96) and substantial agreement in dichotomous classification (k = .84).
Conclusions: The MoCA exhibited a two-factor structure and consistent associations with external variables such as age,
educational level, and vascular risk; a dimensional interpretation is recommended.
References
Acquadro, C., Conway, K., Giroudet, C., & Mear, I. (2012). Linguistic validation manual for health outcome assessments. Mapi Institute.
Aiello, E. N., Solca, F., Torre, S., Carelli, L., Ferrucci, R., Priori, A., Verde, F., Silani, V., Ticozzi, N., & Poletti, B. (2022). Diagnostics and clinical usability of the Montreal Cognitive Assessment (MoCA) in amyotrophic lateral sclerosis. Frontiers in Psychology, 13, Article 1012632. https://doi.org/10.3389/fpsyg.2022.1012632
American Educational Research Association, American Psychological Association, & National Council on Measurement in Education. (2014). Standards for educational and psychological testing. American Educational Research Association.
Aschenbrenner, A. J., Hassenstab, J. J., Schindler, S. E., Janelidze, S., Hansson, O., Morris, J. C., & Grober, E. (2024). Free recall outperforms story recall in associations with plasma biomarkers in preclinical Alzheimer's disease. The Journal of Prevention of Alzheimer Disease, 11(6), 1696–1702. https://doi.org/10.14283/jpad.2024.130
Bäckman, L., Nyberg, L., Lindenberger, U., Li, S. C., & Farde, L. (2006). The correlative triad among aging, dopamine, and cognition: Current status and future prospects. Neuroscience & Biobehavioral Reviews, 30(6), 791–807. https://doi.org/10.1016/j.neubiorev.2006.06.005
Badham, L., Oliveri, M. E., & Sireci, S. G. (2025). Navigating multi-language assessments: Best practices for test development, linking, and evaluation. Psicothema, 37(3), 1–11. https://doi.org/10.70478/psicothema.2025.37.19
Bugallo-Carrera, C., Dosil-Díaz, C., Pereiro, A. X., Anido-Rifón, L., & Gandoy-Crego, M. (2024). Factors that indicate performance on the MoCA 7.3 in healthy adults over 50 years old. BMC Geriatrics, 24(1), Article 482. https://doi.org/10.1186/s12877-024-05102-1
Cabeza, R. (2002). Hemispheric asymmetry reduction in older adults: The HAROLD model. Psychology and Aging, 17(1), 85–100. https://doi.org/10.1037/0882-7974.17.1.85
Cancino, M., Rehbein, L., Gómez-Pérez, D., & Ortiz, M. S. (2020). Evaluación de funcionamiento cognitivo en el adulto mayor: Análisis y contrastación de los tres instrumentos más usados en Chile [Psychometric properties of three instruments to detect dementia]. Revista Médica de Chile, 148(4), 452–458. https://doi.org/10.4067/s0034-98872020000400452
Chalmers, R. P. (2012). mirt: A multidimensional item response theory package for the R environment. Journal of Statistical Software, 48(6), 1–29. https://doi.org/10.18637/jss.v048.i06
Chithiramohan, T., Santhosh, S., Threlfall, G., Hull, L., Mukaetova-Ladinska, E. B., Subramaniam, H., & Beishon, L. (2024). Culture-fair cognitive screening tools for assessment of cognitive impairment: A systematic review. Journal of Alzheimer's Disease Reports, 8(1), 289–306. https://doi.org/10.3233/ADR-230194
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), 1039–1052. https://doi.org/10.12740/PP/45368
Coen, R. F., Robertson, D. A., Kenny, R. A., & King-Kallimanis, B. L. (2016). Strengths and limitations of the MoCA for assessing cognitive functioning: Findings from a large representative sample of Irish older adults. Journal of Geriatric Psychiatry and Neurology, 29(1), 18–24. https://doi.org/10.1177/0891988715598236
Craig, C. L., Marshall, A. L., Sjöström, M., Bauman, A. E., Booth, M. L., Ainsworth, B. E., Pratt, M., Ekelund, U., Yngve, A., Sallis, J. F., & Oja, P. (2003). International physical activity questionnaire: 12-country reliability and validity. Medicine and Science in Sports and Exercise, 35(8), 1381–1395. https://doi.org/10.1249/01.MSS.0000078924.61453.FB
Dragomir, A., & Omurtag, A. (2021). Brain's networks and their functional significance in cognition. In N. V. Thakor (Ed.), Handbook of neuroengineering (pp. 1–30). Springer Singapore. https://doi.org/10.1007/978-981-16-5540-1_76
Duro, D., Simões, M. R., Ponciano, E., & Santana, I. (2010). Validation studies of the Portuguese experimental version of the Montreal Cognitive Assessment (MoCA): Confirmatory factor analysis. Journal of Neurology, 257(5), 728–734. https://doi.org/10.1007/s00415-009-5399-5
Embretson, S. E., & Reise, S. P. (2013). Item response theory for psychologists. Psychology Press. https://doi.org/10.4324/9781410605269
Ferrando, P. J., Morales-Vives, F., Casas, J. M., & Muñiz, J. (2025). Likert scales: A practical guide to design, construction and use. Psicothema, 37(4), 1–15. https://doi.org/10.70478/psicothema.2025.37.24
Freitas, S., Prieto, G., Simões, M. R., & Santana, I. (2015). Scaling cognitive domains of the Montreal Cognitive Assessment: An analysis using the partial credit model. Archives of Clinical Neuropsychology, 30(5), 435–447. https://doi.org/10.1093/arclin/acv027
Freitas, S., Simões, M. R., Marôco, J., Alves, L., & Santana, I. (2012). Construct validity of the Montreal Cognitive Assessment (MoCA). Journal of the International Neuropsychological Society, 18(2), 242–250. https://doi.org/10.1017/S1355617711001573
Gagnon, C., Saillant, K., Olmand, M., Gayda, M., Nigam, A., Bouabdallaoui, N., Rouleau, J. L., Desjardins-Crépeau, L., & Bherer, L. (2022). Performances on the Montreal Cognitive Assessment along the cardiovascular disease continuum. Archives of Clinical Neuropsychology, 37(1), 117–124. https://doi.org/10.1093/arclin/acab029
Geethadevi, G. M., Quinn, T. J., George, J., Anstey, K. J., Bell, J. S., Sarwar, M. R., & Cross, A. J. (2023). Multi-domain prognostic models used in middle-aged adults without known cognitive impairment for predicting subsequent dementia. Cochrane Database of Systematic Reviews, 2023(6), Article CD014885. https://doi.org/10.1002/14651858.CD014885.pub2
Grober, E., Lipton, R. B., Sperling, R. A., Papp, K. V., Johnson, K. A., Rentz, D. M., Veroff, A. E., Aisen, P. S., & Ezzati, A. (2022). Associations of stages of objective memory impairment with amyloid PET and structural MRI. Neurology, 98(13), e1327–e1336. https://doi.org/10.1212/wnl.0000000000200046
Grober, E., Petersen, K. K., Lipton, R. B., Hassenstab, J., Morris, J. C., Gordon, B. A., & Ezzati, A. (2023). Association of stages of objective memory impairment with incident symptomatic cognitive impairment in cognitively normal individuals. Neurology, 100(22), e2279–e2289. https://doi.org/10.1212/wnl.0000000000207276
Guo, Z. X., Liu, F., Wang, F. Y., Ou, Y. N., Huang, L. Y., Hu, H., Wang, Z., Fu, Y., Gao, P., Tan, L., & Yu, J. T. (2024). CAIDE score, Alzheimer's disease pathology, and cognition in cognitively normal adults: The CABLE study. Journal of Alzheimer's Disease, 99(4), 1273–1283. https://doi.org/10.3233/JAD-240005
Hobeika, L., Diard-Detoeuf, C., Garcin, B., Levy, R., & Volle, E. (2016). General and specialized brain correlates for analogical reasoning: A meta-analysis of functional imaging studies. Human Brain Mapping, 37(5), 1953–1969. https://doi.org/10.1002/hbm.23149
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
Imai, A., Matsuoka, T., Kato, Y., & Narumoto, J. (2022). Diagnostic performance and neural basis of the combination of free- and pre-drawn Clock Drawing Test. International Journal of Geriatric Psychiatry, 37(4), 1–9. https://doi.org/10.1002/gps.5699
Instituto Nacional de Estadística. (2011). Clasificación Nacional de Ocupaciones 2011 (CNO-11) [National Classification of Occupations 2011 (NCO-11)]. https://www.ine.es/daco/daco42/clasificaciones/cno11_notas.pdf
Instituto Nacional de Estadística. (2025). Censo anual de población 2021–2025 [Annual Population Census 2021–2025]. https://www.ine.es/uc/dxF29hro
Islam, M. A., Hashem, R., Gad, M., Brown, A., Levis, B., Renoux, C., Thombs, B. D., & McInnes, M. D. (2023). Accuracy of the Montreal Cognitive Assessment tool for detecting mild cognitive impairment: A systematic review and meta-analysis. Alzheimer's & Dementia, 71(8), 2567–2577. https://doi.org/10.1002/alz.13040
Jia, R., Wang, Q., Huang, H., Yang, Y., Chung, Y. F., & Liang, T. (2023). Cardiovascular disease risk models and dementia or cognitive decline: A systematic review. Frontiers in Aging Neuroscience, 15, Article 1257367. https://doi.org/10.3389/fnagi.2023.1257367
Jorgensen, T. D., Pornprasertmanit, S., Schoemann, A. M., Rosseel, Y., Miller, P., Quick, C., Garnier-Villarreal, M., Selig, J., Boulton, A., Preacher, K., Coffman, D., Rhemtulla, M., Robitzsch, A., Enders, C., Arslan, R., Clinton, B., Panko, P., Merkle, E., Chesnut, S., … Rhemtulla, M. (2016). semTools: Useful tools for structural equation modeling (R package version 0.5-7) [Computer software]. Comprehensive R Archive Network (CRAN). https://cran.r-project.org/web/packages/semTools/semTools.pdf
Kivipelto, M., Ngandu, T., Laatikainen, T., Winblad, B., Soininen, H., & Tuomilehto, J. (2006). Risk score for the prediction of dementia risk in 20 years among middle aged people: A longitudinal, population-based study. The Lancet Neurology, 5(9), 735–741. https://doi.org/10.1016/S1474-4422(06)70537-3
Kline, R. B. (2023). Principles and practice of structural equation modeling. Guilford Publications.
Lentoor, A. G., & Myburgh, L. (2022). Correlation between body mass index (BMI) and performance on the Montreal Cognitive Assessment (MoCA) in a cohort of adult women in South Africa. Behavioural Neurology, 2022(1), Article 8994793. https://doi.org/10.1155/2022/8994793
Llamas-Ramos, I., Llamas-Ramos, R., Lugones-Sánchez, C., González-García, S., Tamayo-Morales, O., Alvarado-Omenat, J. J., … & Rodríguez-Sánchez, E. (2024). Effect of a lifestyle-integrated functional exercise (LiFE) group intervention (sLiFE) to falls prevention in non-institutionalized older adults. Protocol of a randomised clinical trial. Frontiers in Public Health, 11, Article 1304982. https://doi.org/10.3389/fpubh.2023.1304982
Lozano Gallego, M., Hernández Ferrándiz, M., Turró Garriga, O., Pericot Nierga, I., López Pousa, S., & Vilalta Franch, J. (2009). Validación del Montreal Cognitive Assessment (MoCA): Test de cribado para el deterioro cognitivo leve. Datos preliminares [Validation of the Montreal Cognitive Assessment (MoCA): Screening test for mild cognitive impairment. Preliminary data]. Alzheimer. Realidades e Investigación en Demencia, 43, 4–11. https://www.researchgate.net/publication/228740373
Lugones-Sánchez, C., Santos-Mínguez, S., Salvado, R., González-Sánchez, S., Tamayo-Morales, O., Hoya-González, A., Ramírez-Manent, J. I., Magallón-Botaya, R., Quesada-Rico, J. A., García-Cubillas, M. D., Rodríguez-Sánchez, E., Gómez-Marcos, M. A., Benito-Sanchez, R., Mira, A., Hernandez-Rivas, J. M., García-Ortiz, L., & MIVAS III Researchers Group. (2023). Lifestyles, arterial aging, and its relationship with the intestinal and oral microbiota (MIVAS III study): A research protocol for a cross-sectional multicenter study. Frontiers in Public Health, 11, Article 1164453. https://doi.org/10.3389/fpubh.2023.1164453
Luo, H., Andersson, B., Tang, J. Y., & Wong, G. H. (2019). 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
Luo, H., Andersson, B., Wong, G. H. Y., & Lum, T. Y. S. (2022). Longitudinal measurement properties of the Montreal Cognitive Assessment. Journal of Clinical and Experimental Neuropsychology, 44(9), 627–639. https://doi.org/10.1080/13803395.2022.2148634
Marsh, H. W., Hau, K. T., & Wen, Z. (2004). In search of golden rules: Comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler's (1999) findings. Structural Equation Modeling: A Multidisciplinary Journal, 11(3), 320–341. https://doi.org/10.1207/s15328007sem1103_2
Martí-Lluch, R., Bolíbar, B., Llobera, J., Maderuelo-Fernández, J. A., Magallón-Botaya, R., Sánchez-Pérez, Á., Fernández-Domínguez, M. J., Motrico, E., Vicens-Pons, E., Notario-Pacheco, B., Alves-Cabratosa, L., Ramos, R., & DESVELA Cohort Investigators. (2023). Role of personal aptitudes as determinants of incident morbidity, lifestyles, quality of life, use of health services, and mortality (DESVELA cohort): Quantitative study protocol for a prospective cohort study in a hybrid analysis. Frontiers in Public Health, 11, Article 1067249. https://doi.org/10.3389/fpubh.2023.1067249
Matías-Guiu, J. A., Valles-Salgado, M., Rognoni, T., Hamre-Gil, F., Moreno-Ramos, T., & Matías-Guiu, J. (2017). Comparative diagnostic accuracy of the ACE-III, MIS, MMSE, MoCA, and RUDAS for screening of Alzheimer disease. Dementia and Geriatric Cognitive Disorders, 43(5–6), 237–246. https://doi.org/10.1159/000469658
Menon, V., & D'Esposito, M. (2021). The role of PFC networks in cognitive control and executive function. Neuropsychopharmacology, 47, 90–103. https://doi.org/10.1038/s41386-021-01152-w
Ministerio de Sanidad. (2020). Límites de consumo de bajo riesgo de alcohol [Low-risk alcohol consumption limits]. https://www.sanidad.gob.es/areas/promocionPrevencion/alcohol/documentosTecnicos/docs/Limites_Consumo_Bajo_Riesgo_Alcohol_Actualizacion.pdf
Mokkink, L. B., Elsman, E. B., & Terwee, C. B. (2024). COSMIN guideline for systematic reviews of patient-reported outcome measures version 2.0. Quality of Life Research, 33, 2929–2939. https://doi.org/10.1007/s11136-024-03761-6
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
Ngandu, T., Lehtisalo, J., Solomon, A., Levälahti, E., Ahtiluoto, S., Antikainen, R., Bäckman, L., Hänninen, T., Jula, A., Laatikainen, T., Lindström, J., Mangialasche, F., Paajanen, T., Pajala, S., Peltonen, M., Rauramaa, R., Stigsdotter-Neely, A., Strandberg, T., Tuomilehto, J., … Kivipelto, M. (2015). A 2 year multidomain intervention of diet, exercise, cognitive training, and vascular risk monitoring versus control to prevent cognitive decline in at-risk elderly people (FINGER): A randomised controlled trial. The Lancet, 385(9984), 2255–2263. https://doi.org/10.1016/S0140-6736(15)60461-5
Nicotra, A., Maestri, G., Salvadori, E., & Pantoni, L. (2024). Brain health assessment. An exploratory review of tools related to its cognitive dimension. Cerebral Circulation-Cognition and Behavior, 6, Article 100188. https://doi.org/10.1016/j.cccb.2023.100188
O'Caoimh, R., Cadoo, S., Daly, B., & Molloy, D. W. (2025). Comparing short cognitive screening instruments in an outreach memory clinic in primary care. International Journal of Environmental Research and Public Health, 22(3), Article 410. https://doi.org/10.3390/ijerph22030410
Ojeda, N., del Pino, R., Ibarretxe-Bilbao, N., Schretlen, D. J., & Peña, J. (2016). Montreal Cognitive Assessment Test: Normalization and standardization for Spanish population. Revista de Neurología, 63(11), 488–496. https://doi.org/10.33588/rn.6311.2016241
Pereiro, A. X., Ramos-Lema, S., Juncos-Rabadán, O., Facal, D., & Lojo-Seoane, C. (2015). Normative scores of the Cambridge Cognitive Examination-Revised in healthy Spanish population. Psicothema, 27(1), 32–39. https://doi.org/10.7334/psicothema2014.169
Pereiro, A. X., Ramos-Lema, S., Lojo-Seoane, C., Guàrdia-Olmos, J., Facal-Mayo, D., & Juncos-Rabadán, O. (2017). Normative data for the Montreal Cognitive Assessment (MOCA) in a Spanish sample of community-dweller adults. European Geriatric Medicine, 8(3), 240–244. https://doi.org/10.1016/j.eurger.2017.04.003
Porto, J. M. (2015). Validez diagnóstica de la evaluación cognitiva Montreal en el deterioro cognitivo posictus [Diagnostic validity of the Montreal Cognitive Assessment in post-stroke cognitive impairment] [Doctoral dissertation, University of Salamanca]. GREDOS USAL Repository. https://hdl.handle.net/10366/128548
Qu, J., Fu, J., Liu, X., Chen, M., Yang, T., & Shen, Z. (2025). Episodic memory neural mechanisms: Patterns, connectivity, and developmental dynamics. Brain and Cognition, 191, Article 106374. https://doi.org/10.1016/j.bandc.2025.106374
R Development Core Team. (2023). R: A language and environment for statistical computing [Computer software]. R Foundation for Statistical Computing. http://www.R-project.org/
Ramírez-Moreno, J. M., Bartolomé Alberca, S., Muñoz Vega, P., & Guerrero Barona, E. J. (2022). Screening for cognitive impairment with the Montreal Cognitive Assessment in Spanish patients with minor stroke or transient ischaemic attack. Neurología, 37(1), 38–44. https://doi.org/10.1016/j.nrleng.2018.11.008
Roalf, D. R., Moore, T. M., Wolk, D. A., Arnold, S. E., Mechanic-Hamilton, D., Rick, J., Kabadi, S., Ruparel, K., Chen-Plotkin, A. S., Chahine, L. M., Dahodwala, N. A., Duda, J. E., Weintraub, D. A., & Moberg, P. J. (2016). Defining and validating a short form Montreal Cognitive Assessment (s-MoCA) for use in neurodegenerative disease. Journal of Neurology, Neurosurgery & Psychiatry, 87(12), 1303–1310. https://doi.org/10.1136/jnnp-2015-312723
Rodríguez, A., Reise, S. P., & Haviland, M. G. (2016). Evaluating bifactor models: Calculating and interpreting statistical indices. Psychological Methods, 21(2), 137–150. https://doi.org/10.1037/met0000045
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
Sachs, B. C., Chelune, G. J., Rapp, S. R., Couto, A. M., Willard, J. J., Williamson, J. D., Sink, K. M., Coker, L. H., Gaussoin, S. A., Gure, T. R., Lerner, A. J., Nichols, L. O., Still, C. H., Wadley, V. G., & Pajewski, N. M. (2022). Robust demographically-adjusted normative data for the Montreal Cognitive Assessment (MoCA): Results from the systolic blood pressure intervention trial. The Clinical Neuropsychologist, 36(8), 2237–2259. https://doi.org/10.1080/13854046.2021.1967450
Sala, G., Inagaki, H., Ishioka, Y., Masui, Y., Nakagawa, T., Ishizaki, T., Arai, Y., Ikebe, K., Kamide, K., & Gondo, Y. (2020). The psychometric properties of the Montreal Cognitive Assessment (MoCA). Swiss Journal of Psychology, 79(3–4), 155–161. https://doi.org/10.1024/1421-0185/a000242
Sergi, M. R., Balsamo, M., D'Ignazio, G., Terrei, M., Palumbo, R., Salvatore, G., & Carlucci, L. (2025). Investigating the factor structure of the Montreal Cognitive Assessment: A qualitative review. Frontiers in Psychology, 16, Article 1727202. https://doi.org/10.3389/fpsyg.2025.1727202
Sindi, S., Calov, E., Fokkens, J., Ngandu, T., Soininen, H., Tuomilehto, J., & Kivipelto, M. (2015). The CAIDE Dementia Risk Score App: The development of an evidence-based mobile application to predict the risk of dementia. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, 1(3), 328–333. https://doi.org/10.1016/j.dadm.2015.06.005
Tallman, C. W., Luo, Z., & Smith, C. N. (2024). Human brain activity and functional connectivity associated with verbal long-term memory consolidation across 1 month. Frontiers in Human Neuroscience, 18, Article 1342552. https://doi.org/10.3389/fnhum.2024.1342552
Teng, S., Chen, X., & Chen, Z. (2025). Dynamic memory engrams: Unveiling the cellular mechanisms of memory encoding, consolidation, generalization, and updating in the brain. Brain Medicine, 1(4), 50–61. https://doi.org/10.61373/bm025i.0044
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
Tsoi, K. K. F., Chan, J. Y. C., Hirai, H. W., Wong, A., Mok, V. C. T., Lam, L. C. W., Kwok, T. C. Y., & Wong, S. Y. S. (2017). Recall tests are effective to detect mild cognitive impairment: A systematic review and meta-analysis of 108 diagnostic studies. Journal of the American Medical Directors Association, 18(9), 807.e17–807.e29. https://doi.org/10.1016/j.jamda.2017.05.016
Vallés-Salgado, M., Matias-Guiu, J. A., Delgado-Álvarez, A., Delgado-Alonso, C., Gil-Moreno, M. J., Valiente-Gordillo, E., López-Carbonero, J. I., Fernández-Romero, L., Peña-DeDiego, L., Oliver-Mas, S., Matías-Guiu, J., & Diez-Cirarda, M. (2024). Comparison of the diagnostic accuracy of five cognitive screening tests for diagnosing mild cognitive impairment in patients consulting for memory loss. Journal of Clinical Medicine, 13(16), Article 4695. https://doi.org/10.3390/jcm13164695
Vicente-Gabriel, S., Lugones-Sánchez, C., Tamayo-Morales, O., Vicente Prieto, A., González-Sánchez, S., Conde, S., Gómez-Sánchez, M., Rodríguez-Sánchez, E., García-Ortiz, L., Gómez-Sánchez, L., Gómez-Marcos, M., & Fernandez-Matas, L. (2024). Relationship between addictions and obesity, physical activity and vascular aging in young adults (EVA-Adic study): A research protocol of a cross-sectional study. Frontiers in Public Health, 12, Article 1322437. https://doi.org/10.3389/fpubh.2024.1322437
Wen, S., Cheng, D., Zhao, N., Chen, X., Lu, X., Li, Y., Liu, H., Gao, J., Hou, C., & Xu, R. (2025). Psychometric properties of screening tools for mild cognitive impairment in older adults based on COSMIN guidelines: A systematic review. BMC Geriatrics, 25(1), Article 401. https://doi.org/10.1186/s12877-025-06030-4
Williams, B., Mancia, G., Spiering, W., Agabiti Rosei, E., Azizi, M., Burnier, M., Clement, D., Coca, A., De Simone, G., Dominiczak, A., Kahan, T., Mahfoud, F., Redon, J., Ruilope, L., Zanchetti, A., Kerins, M., Kjeldsen, S., Kreutz, R., Laurent, S., … Desormais, I. (2018). 2018 practice guidelines for the management of arterial hypertension of the European Society of Cardiology and the European Society of Hypertension. Blood Pressure, 27(6), 314–340. https://doi.org/10.1080/08037051.2018.1527177
Williamson, J. D., Pajewski, N. M., Auchus, A. P., Bryan, R. N., Chelune, G., Cheung, A. K., Cleveland, M. L., Coker, L. H., Crowe, M. G., Cushman, W. C., Cutler, J. A., Davatzikos, C., Desiderio, L., Erus, G., Fine, L. J., Gaussoin, S. A., Harris, D., Hsieh, M., Johnson, K. C., … The SPRINT MIND Investigators for the SPRINT Research Group. (2019). Effect of intensive vs standard blood pressure control on probable dementia: A randomized clinical trial. JAMA, 321(6), 553–561. https://doi.org/10.1001/jama.2018.21442
World Medical Association. (2025). World Medical Association Declaration of Helsinki: Ethical principles for medical research involving human participants. JAMA, 333(1), 71–74. https://doi.org/10.1001/jama.2024.21972
Yin, S., Gao, P. Y., Ou, Y. N., Fu, Y., Liu, Y., Wang, Z. T., Han, B., & Tan, L. (2024). ANU-ADRI scores, tau pathology, and cognition in non-demented adults: The CABLE study. Alzheimer's Research & Therapy, 16(1), Article 65. https://doi.org/10.1186/s13195-024-01427-6