Original Article

Psychometric Properties of a Neuropsychological Assessment Scale for Diagnosing Alzheimer's Disease in the Illiterate and Low-Educated Subjects in Iran

Abstract

Objective: Because of changes in the population structure over time, dementia is one of the main concerns of the health systems worldwide. Screening for dementia in primary care settings, especially among high-risk populations, is essential. The aim of this study was to design, develop, and evaluate the reliability and validity of a diagnostic scale for Alzheimer's disease tailored to low-educated and illiterate populations.

Method: This study, conducted at Roozbeh Psychiatric Hospital and Yaadmaan Institute for Brain Cognition and Memory Studies, utilizes a mixed-methods approach for collecting, analyzing, and interpreting the data. Once the questionnaire was confirmed to be clear, appropriate, and consistently presented, it was administered to a purposive sample of 250 patients selected based on the study's specific inclusion criteria. These patients underwent a comprehensive neuropsychological assessment, which included the Behavioral Pathology in Alzheimer's Disease Rating Scale (BEHAVE-AD), The Katz Activities of Daily Living Scale (Katz ADL) and The Functional Assessment Staging Tool (FAST). The scale construction process was conducted in four phases.

Results: Confirmatory factor analysis showed that all questions significantly loaded on their respective factors, effectively measuring their intended constructs. The root mean square error of approximation (RMSEA) was less than 0.08, indicating a good model fit and supporting the scale's validity. The Adjusted Goodness of Fit Index (AGFI) and Goodness of Fit Index (GFI) were near 0.9, while the Comparative Fit Index (CFI), Normed Fit Index (NFI), Non-Normed Fit Index (NNFI), and Incremental Fit Index (IFI) exceeded 0.9. Correlational analysis with the FAST, Activities of Daily Living (ADL), and BEHAVE-AD scales confirmed significant relationships, validating the scale's convergent and divergent validity. The overall reliability, measured by Cronbach’s alpha coefficient, was 0.96, indicating excellent internal consistency, with subdomain reliability coefficients ranging from 0.7 to 0.88.

Conclusion: The diagnostic scale for Alzheimer's disease demonstrates adequate fit and construct validity for assessing cognitive impairments in low-educated and illiterate patients across the 12 domains of orientation, judgment, abstract thinking, similarity, verbal fluency, repetition, working memory, visual-spatial skills, calculation, executive function, prosopagnosia, and naming. This culturally and linguistically adaptable assessment addresses gaps in diagnostic tools for low-literacy populations, enabling accurate evaluations of dementia and facilitating early diagnosis and treatment. The findings enhance existing knowledge by providing a reliable tool for early Alzheimer's diagnosis among low-literacy groups. However, further research is needed to validate the scale across diverse ethnic backgrounds and geographical locations to ensure its relevance and sensitivity to various contexts.

1. Tan MP. Healthcare for older people in lower and middle income countries. Age Ageing. 2022;51(4): afac016.
2. Iuga IC, Nerişanu RA, Iuga H. The impact of healthcare system quality and economic factors on the older adult population: a health economics perspective. Front Public Health. 2024;12:1454699.
3. Hong C, Sun L, Liu G, Guan B, Li C, Luo Y. Response of Global Health Towards the Challenges Presented by Population Aging. China CDC Wkly. 2023;5(39):884-7.
4. Cygańska M, Kludacz-Alessandri M, Pyke C. Healthcare Costs and Health Status: Insights from the SHARE Survey. Int J Environ Res Public Health. 2023;20(2):1418.
5. Cejalvo E, Martí-Vilar M, Merino-Soto C, Aguirre-Morales MT. Caregiving Role and Psychosocial and Individual Factors: A Systematic Review. Healthcare (Basel). 2021;9(12):1690.
6. Posis AIB, Yarish NM, McEvoy LK, Jain P, Kroenke CH, Saquib N, et al. Association of Social Support with Mild Cognitive Impairment and Dementia Among Older Women: The Women's Health Initiative Memory Study. J Alzheimers Dis. 2023;91(3):1107-19.
7. Reuben DB, Kremen S, Maust DT. Dementia Prevention and Treatment: A Narrative Review. JAMA Intern Med. 2024;184(5):563-72.
8. Grill JD, Gillen D. Effects of intensive lifestyle changes on the progression of mild cognitive impairment or early dementia due to Alzheimer's disease: the need for rigor. Alzheimers Res Ther. 2025;17(1):32.
9. 2023 Alzheimer's disease facts and figures. Alzheimers Dement. 2023;19(4):1598-695.
10. Mitra S. Special Issue 'Advances in Neurodegenerative Diseases Research and Therapy 2.0'. Int J Mol Sci. 2024;25(9):4709.
11. Wang XJ, Xu W, Li JQ, Cao XP, Tan L, Yu JT. Early-Life Risk Factors for Dementia and Cognitive Impairment in Later Life: A Systematic Review and Meta-Analysis. J Alzheimers Dis. 2019;67(1):221-9.
12. Zhang Z, Zhao Y, Bian Y. A Role of Socioeconomic Status in Cognitive Impairment Among Older Adults in Macau: A Decomposition Approach. Front Aging Neurosci. 2022;14:804307.
13. Terracciano A, Sutin AR. Personality and Alzheimer's disease: An integrative review. Personal Disord. 2019;10(1):4-12.
14. Suh SW, Han JW, Park JY, Hong JW, Kim K, Kim T, et al. Impacts of Illiteracy on the Risk of Dementia: A Global Health Perspective. J Alzheimers Dis. 2016;53(2):731-41.
15. Arce Rentería M, Vonk JMJ, Felix G, Avila JF, Zahodne LB, Dalchand E, et al. Illiteracy, dementia risk, and cognitive trajectories among older adults with low education. Neurology. 2019;93(24):e2247-e56.
16. Hay L. Health literacy. Perspect Public Health. 2010;130(3):105.
17. Alzola P, Carnero C, Bermejo-Pareja F, Sánchez-Benavides G, Peña-Casanova J, Puertas-Martín V, et al. Neuropsychological Assessment for Early Detection and Diagnosis of Dementia: Current Knowledge and New Insights. J Clin Med. 2024;13(12):3442.
18. Reiss AB, de Levante Raphael D, Chin NA, Sinha V. The physician's Alzheimer's disease management guide: Early detection and diagnosis of cognitive impairment, Alzheimer's disease and related dementia. AIMS Public Health. 2022;9(4):661-89.
19. 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):189-98.
20. Nielsen TR. Cognitive Assessment in Culturally, Linguistically, and Educationally Diverse Older Populations in Europe. Am J Alzheimers Dis Other Demen. 2022;37:15333175221117006.
21. Spencer RJ, Wendell CR, Giggey PP, Katzel LI, Lefkowitz DM, Siegel EL, et al. Psychometric limitations of the mini-mental state examination among nondemented older adults: an evaluation of neurocognitive and magnetic resonance imaging correlates. Exp Aging Res. 2013;39(4):382-97.
22. Jia X, Wang Z, Huang F, Su C, Du W, Jiang H, et al. A comparison of the Mini-Mental State Examination (MMSE) with the Montreal Cognitive Assessment (MoCA) for mild cognitive impairment screening in Chinese middle-aged and older population: a cross-sectional study. BMC Psychiatry. 2021;21(1):485.
23. Pellicer-Espinosa I, Díaz-Orueta U. Cognitive Screening Instruments for Older Adults with Low Educational and Literacy Levels: A Systematic Review. J Appl Gerontol. 2022;41(4):1222-31.
24. Maestri G, Nicotra A, Pomati S, Canevelli M, Pantoni L, Cova I. Cultural influence on clock drawing test: A systematic review. J Int Neuropsychol Soc. 2023;29(7):704-14.
25. Noroozian M, Shakiba A, Iran-nejad S. The impact of illiteracy on the assessment of cognition and dementia: a critical issue in the developing countries. Int Psychogeriatr. 2014;26(12):2051-60.
26. Petri M, Messinis L, Patrikelis P, Nousia A, Nasios G. Illiteracy, Neuropsychological Assessment, and Cognitive Rehabilitation: A Narrative Review. Adv Exp Med Biol. 2023;1425:477-84.
27. Youn YC, Pyun JM, Ryu N, Baek MJ, Jang JW, Park YH, et al. Use of the Clock Drawing Test and the Rey-Osterrieth Complex Figure Test-copy with convolutional neural networks to predict cognitive impairment. Alzheimers Res Ther. 2021;13(1):85.
28. Zhang X, Lv L, Min G, Wang Q, Zhao Y, Li Y. Overview of the Complex Figure Test and Its Clinical Application in Neuropsychiatric Disorders, Including Copying and Recall. Front Neurol. 2021;12:680474.
29. Tsiakiri A, Christidi F, Tsiptsios D, Vlotinou P, Kitmeridou S, Bebeletsi P, et al. Processing Speed and Attentional Shift/Mental Flexibility in Patients with Stroke: A Comprehensive Review on the Trail Making Test in Stroke Studies. Neurol Int. 2024;16(1):210-25.
30. Hashimoto R, Meguro K, Lee E, Kasai M, Ishii H, Yamaguchi S. Effect of age and education on the Trail Making Test and determination of normative data for Japanese elderly people: the Tajiri Project. Psychiatry Clin Neurosci. 2006;60(4):422-8.
31. Zarrella GV, Kay CD, Gettens K, Sherman JC, Colvin MK. Addenbrooke's Cognitive Examination-Third Edition Predicts Neuropsychological Test Performance. J Neuropsychiatry Clin Neurosci. 2023;35(2):178-83.
32. Takenoshita S, Terada S, Yoshida H, Yamaguchi M, Yabe M, Imai N, et al. Validation of Addenbrooke's cognitive examination III for detecting mild cognitive impairment and dementia in Japan. BMC Geriatr. 2019;19(1):123.
33. Sclan SG, Reisberg B. Functional assessment staging (FAST) in Alzheimer's disease: reliability, validity, and ordinality. Int Psychogeriatr. 1992;4 Suppl 1:55-69.
34. Hindmarch I, Lehfeld H, de Jongh P, Erzigkeit H. The Bayer Activities of Daily Living Scale (B-ADL). Dement Geriatr Cogn Disord. 1998;9 Suppl 2:20-6.
35. Edemekong PF, Bomgaars D, Sukumaran S, Levy SB. Activities of daily living. 2019.
36. Mahoney FI, Barthel DW. FUNCTIONAL EVALUATION: THE BARTHEL INDEX. Md State Med J. 1965;14:61-5.
37. Kaneda T, Takabatake S, Higashi Y, Horishima Y, Somei Y, Nakaoka K, et al. Evaluation of psychometric properties of the activities of daily living scale of motor function used by caregivers using Rasch analysis. J Phys Ther Sci. 2020;32(2):148-55.
38. Lawton MP, Brody EM. Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist. 1969;9(3):179-86.
39. Isik EI, Yilmaz S, Uysal I, Basar S. Adaptation of the Lawton Instrumental Activities of Daily Living Scale to Turkish: Validity and Reliability Study. Ann Geriatr Med Res. 2020;24(1):35-40.
40. Custodio N, Montesinos R, Chambergo-Michilot D, Herrera-Perez E, Pintado-Caipa M, Seminario GW, et al. A Functional Assessment Tool to Distinguish Controls From Alzheimer's Disease in Lima, Peru. Am J Alzheimers Dis Other Demen. 2022;37:15333175221104354.
41. Fernandes B, Goodarzi Z, Holroyd-Leduc J. Optimizing the diagnosis and management of dementia within primary care: a systematic review of systematic reviews. BMC Fam Pract. 2021;22(1):166.
42. Dubbelman MA, Verrijp M, Facal D, Sánchez-Benavides G, Brown LJE, van der Flier WM, et al. The influence of diversity on the measurement of functional impairment: An international validation of the Amsterdam IADL Questionnaire in eight countries. Alzheimers Dement (Amst). 2020;12(1):e12021.
43. Howieson D. Current limitations of neuropsychological tests and assessment procedures. Clin Neuropsychol. 2019;33(2):200-8.
44. 2024 Alzheimer's disease facts and figures. Alzheimers Dement. 2024;20(5):3708-821.
45. Eldholm RS, Barca ML, Persson K, Knapskog AB, Kersten H, Engedal K, et al. Progression of Alzheimer's Disease: A Longitudinal Study in Norwegian Memory Clinics. J Alzheimers Dis. 2018;61(3):1221-32.
46. Campbell J, Lavoie L, Farraia M, Huelin R, Zhang Q, Tahami Monfared AA. Quality of Life in Mild Cognitive Impairment and Mild Dementia Associated with Alzheimer's Disease: A Systematic Review. Neurol Ther. 2025;14(1):7-26.
47. Prince M, Acosta D, Albanese E, Arizaga R, Ferri CP, Guerra M, et al. Ageing and dementia in low and middle income countries-Using research to engage with public and policy makers. Int Rev Psychiatry. 2008;20(4):332-43.
48. Prince M, Acosta D, Ferri CP, Guerra M, Huang Y, Llibre Rodriguez JJ, et al. Dementia incidence and mortality in middle-income countries, and associations with indicators of cognitive reserve: a 10/66 Dementia Research Group population-based cohort study. Lancet. 2012;380(9836):50-8.
49. Mattap SM, Mohan D, McGrattan AM, Allotey P, Stephan BC, Reidpath DD, et al. The economic burden of dementia in low- and middle-income countries (LMICs): a systematic review. BMJ Glob Health. 2022;7(4):e007409.
50. McMaughan DJ, Oloruntoba O, Smith ML. Socioeconomic Status and Access to Healthcare: Interrelated Drivers for Healthy Aging. Front Public Health. 2020 Jun 18;8:231. doi: 10.3389/fpubh.2020.00231. PMID: 32626678; PMCID: PMC7314918.
51. Coombs NC, Campbell DG, Caringi J. A qualitative study of rural healthcare providers' views of social, cultural, and programmatic barriers to healthcare access. BMC Health Serv Res. 2022;22(1):438.
52. Ng KP, Chiew HJ, Lim L, Rosa-Neto P, Kandiah N, Gauthier S. The influence of language and culture on cognitive assessment tools in the diagnosis of early cognitive impairment and dementia. Expert Rev Neurother. 2018;18(11):859-69.
53. Ortega LFV, Aprahamian I, Borges MK, Cação JC, Yassuda MS. Screening for Alzheimer's disease in low-educated or illiterate older adults in Brazil: a systematic review. Arq Neuropsiquiatr. 2019;77(4):279-88.
54. Browne B, Kupeli N, Moore KJ, Sampson EL, Davies N. Defining end of life in dementia: A systematic review. Palliat Med. 2021;35(10):1733-46.
55. Oshnouei S, Safaralizade M, Eslamlou NF, Heidari M. Uncovering the extent of dementia prevalence in Iran: a comprehensive systematic review and meta-analysis. BMC Public Health. 2024;24(1):1168.
56. Tavakoly Sany SB, Doosti H, Mahdizadeh M, Orooji A, Peyman N. The Health Literacy Status and Its Role in Interventions in Iran: A Systematic and Meta-Analysis. Int J Environ Res Public Health. 2021;18(8).
57. Dewalt DA, Berkman ND, Sheridan S, Lohr KN, Pignone MP. Literacy and health outcomes: a systematic review of the literature. J Gen Intern Med. 2004;19(12):1228-39.
58. Trivedi RB, Humphreys K. Participant exclusion criteria in treatment research on neurological disorders: Are unrepresentative study samples problematic? Contemp Clin Trials. 2015;44:20-5.
59. Utoomprurkporn N, Stott J, Costafreda S, Bamiou DE. The Impact of Hearing Loss and Hearing Aid Usage on the Visuospatial Abilities of Older Adults in a Cohort of Combined Hearing and Cognitive Impairment. Front Aging Neurosci. 2022;14:785406.
60. Siddiqui M, Nyahoda T, Traber C, Elliott S, Wang V, Toledo-Franco L, et al. Screening for Cognitive Impairment in Primary Care: Rationale and Tools. Mo Med. 2023;120(6):431-9.
61. Dong Y, Peng CY. Principled missing data methods for researchers. Springerplus. 2013;2(1):222.
62. Jacobs AH, Emmert K, Baron R, Bartsch T, Bauer J, Becker C, et al. Neurogeriatrics-a vision for improved care and research for geriatric patients with predominating neurological disabilities. Z Gerontol Geriatr. 2020;53(4):340-6.
63. Wang M, Smith EE, Forkert ND, Chekouo T, Ismail Z, Ganesh A, et al. Integrating expert knowledge for dementia risk prediction in individuals with mild cognitive impairment (MCI): a study protocol. BMJ Open. 2021;11(11):e051185.
64. Emmady PD, Schoo C, Tadi P. Major neurocognitive disorder (dementia). 2020.
65. Pérez Palmer N, Trejo Ortega B, Joshi P. Cognitive Impairment in Older Adults: Epidemiology, Diagnosis, and Treatment. Psychiatr Clin North Am. 2022;45(4):639-61.
66. Bradfield NI. Mild Cognitive Impairment: Diagnosis and Subtypes. Clin EEG Neurosci. 2023;54(1):4-11.
67. Hurwitz B, Altmiller G. Content Validation for an Emergency Department Fall Risk Assessment Instrument. Clin Nurse Spec. 2021;35(5):233-7.
68. Lawshe C. A Quantitative Approach to Content Validity. Personnel psychology/Berrett-Koehler Publishers. 1975.
69. Pissinati PSC, Évora YDM, Marcon SS, Mathias TAF, Fonseca LF, Haddad M. Content and usability validation of the Retire with Health web software. Rev Bras Enferm. 2021;74(1):e20200133.
70. Cruz Rivera S, Liu X, Chan AW, Denniston AK, Calvert MJ. Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension. Nat Med. 2020;26(9):1351-63.
71. Magnus BE, Chen Y. Does Response Format Matter? The Psychometric Effects of Filter Questions on Self-Reported Symptom Frequencies. Assessment. 2023;30(6):1998-2015.
72. Liang C-H, Wang D-W, Pan M-L. Grouped data with survey revision. BMC Medical Research Methodology. 2023;23(1):15.
73. Fluss R, Faraggi D, Reiser B. Estimation of the Youden Index and its associated cutoff point. Biom J. 2005;47(4):458-72.
74. Schisterman EF, Faraggi D, Reiser B, Hu J. Youden Index and the optimal threshold for markers with mass at zero. Stat Med. 2008;27(2):297-315.
75. Ismail Z, Emeremni CA, Houck PR, Mazumdar S, Rosen J, Rajji TK, et al. A comparison of the E-BEHAVE-AD, NBRS, and NPI in quantifying clinical improvement in the treatment of agitation and psychosis associated with dementia. Am J Geriatr Psychiatry. 2013;21(1):78-87.
76. Noroozian M, Vahabi Z, Hooshyari Z, Etesam F, Tarighatnia H. Validation study of the Persian version of behavioral pathology in Alzheimer's Disease Rating scale (BEHAVE-AD) and the empirical BHAVE-AD (E-BEHAVE-AD). Appl Neuropsychol Adult. 2023:1-11.
77. Katz S, Ford AB, Moskowitz RW, Jackson BA, Jaffe MW. Studies of illness in the aged: the index of ADL: a standardized measure of biological and psychosocial function. jama. 1963;185(12):914-9.
78. Katz S. Assessing self-maintenance: activities of daily living, mobility, and instrumental activities of daily living. J Am Geriatr Soc. 1983;31(12):721-7.
79. Katz S, Downs TD, Cash HR, Grotz RC. Progress in development of the index of ADL. Gerontologist. 1970;10(1):20-30.
80. Azad A, Mohammadinezhad T, Taghizadeh G, Lajevardi L. Clinical assessment of activities of daily living in acute stroke: Validation of the Persian version of Katz Index. Med J Islam Repub Iran. 2017;31:30.
81. Reisberg B. Functional assessment staging (FAST). Psychopharmacol Bull. 1988;24(4):653-9.
82. Noroozian M, Reisberg B, Farhadi A, Sharifi F, Sadeghi Zangeneh A, Mohammadi M. Translation and psychometric evaluation of a Persian version of the functional assessment staging scale (I-FAST) in older patients with mild cognitive impairment and Alzheimer's disease in Iran. Acta Neurol Belg. 2022;122(4):987-96.
83. Almanasreh E, Moles R, Chen TF. Evaluation of methods used for estimating content validity. Res Social Adm Pharm. 2019;15(2):214-21.
84. Zamanzadeh V, Ghahramanian A, Rassouli M, Abbaszadeh A, Alavi-Majd H, Nikanfar AR. Design and Implementation Content Validity Study: Development of an instrument for measuring Patient-Centered Communication. J Caring Sci. 2015;4(2):165-78.
85. Marsh HW, Guo J, Dicke T, Parker PD, Craven RG. Confirmatory Factor Analysis (CFA), Exploratory Structural Equation Modeling (ESEM), and Set-ESEM: Optimal Balance Between Goodness of Fit and Parsimony. Multivariate Behav Res. 2020;55(1):102-19.
86. Tavakol M, Wetzel A. Factor Analysis: a means for theory and instrument development in support of construct validity. Int J Med Educ. 2020;11:245-7.
87. Deng L, Yang M, Marcoulides KM. Structural Equation Modeling With Many Variables: A Systematic Review of Issues and Developments. Front Psychol. 2018;9:580.
88. Enders CK, Mansolf M. Assessing the fit of structural equation models with multiply imputed data. Psychol Methods. 2018;23(1):76-93.
89. Youden WJ. Index for rating diagnostic tests. Cancer. 1950;3(1):32-5.
90. Derbie AY, Dejenie MA, Zegeye TG. Visuospatial representation in patients with mild cognitive impairment: Implication for rehabilitation. Medicine (Baltimore). 2022;101(44):e31462.
91. Van Bueren NER, van der Ven SHG, Roelofs K, Cohen Kadosh R, Kroesbergen EH. Predicting Math Ability Using Working Memory, Number Sense, and Neurophysiology in Children and Adults. Brain Sci. 2022 Apr 26;12(5):550. doi: 10.3390/brainsci12050550. PMID: 35624937; PMCID: PMC9139259.
92. Idowu MI, Szameitat AJ. Executive function abilities in cognitively healthy young and older adults-A cross-sectional study. Front Aging Neurosci. 2023;15:976915.
93. Tragantzopoulou P, Giannouli V. Spatial Orientation Assessment in the Elderly: A Comprehensive Review of Current Tests. Brain Sci. 2024;14(9).
94. Kulenović AD, Mešević ES, Ribić E, Repišti S, Radojičić T, Jovanović N. Factor structure and internal consistency of the Clinical Assessment Interview for Negative Symptoms (CAINS) on a sample of persons with psychotic disorders in Bosnia and Herzegovina. J Neural Transm (Vienna). 2022;129(7):905-11.
95. Park J, Jeong E, Seomun G. The clock drawing test: A systematic review and meta-analysis of diagnostic accuracy. J Adv Nurs. 2018;74(12):2742-54.
96. Modrego PJ, Gazulla J. The predictive value of the memory impairment screen in patients with subjective memory complaints: a prospective study. Prim Care Companion CNS Disord. 2013;15(1).
97. Zegarra-Valdivia JA, Chino B, Paredes Manrique CN. Validation and Normative Data on the Verbal Fluency Test in a Peruvian Population Ranging from Pediatric to Elderly Individuals. Brain Sci. 2022;12(12).
98. Matallana D, de Santacruz C, Cano C, Reyes P, Samper-Ternent R, Markides KS, et al. The relationship between education level and mini-mental state examination domains among older Mexican Americans. J Geriatr Psychiatry Neurol. 2011;24(1):9-18.
99. Trzepacz PT, Hochstetler H, Wang S, Walker B, Saykin AJ. Relationship between the Montreal Cognitive Assessment and Mini-mental State Examination for assessment of mild cognitive impairment in older adults. BMC Geriatr. 2015;15:107.
100. Cecato JF, Fiorese B, Montiel JM, Bartholomeu D, Martinelli JE. Clock drawing test in elderly individuals with different education levels: correlation with clinical dementia rating. Am J Alzheimers Dis Other Demen. 2012;27(8):620-4.
101. Nishiwaki Y, Breeze E, Smeeth L, Bulpitt CJ, Peters R, Fletcher AE. Validity of the Clock-Drawing Test as a screening tool for cognitive impairment in the elderly. Am J Epidemiol. 2004;160(8):797-807.
102. Tsoi KK, Chan JY, Hirai HW, Wong SY, Kwok TC. Cognitive tests to detect dementia: a systematic review and meta-analysis. JAMA internal medicine. 2015;175(9):1450-8.
103. Ding H, Wang B, Hamel AP, Melkonyan M, Ang TFA, Au R, et al. Prediction of Progression from Mild Cognitive Impairment to Alzheimer's disease with Longitudinal and Multimodal Data. Front Dement. 2023;2:1271680.
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Alzheimer Cognitive Impairment Diagnostic Test Elderly Literacy

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Ahmadi A, Noroozian M, Kachooei M, Hooshyari Z, Golsokhan A. Psychometric Properties of a Neuropsychological Assessment Scale for Diagnosing Alzheimer’s Disease in the Illiterate and Low-Educated Subjects in Iran. Iran J Psychiatry. 2025;20(2):157-174.