Preliminary Normative Data of Persian Phonemic and Semantic Verbal Fluency Test
Abstract
Objective: Verbal fluency tests (VFTs) are widely used in clinical practice and research to assess executive functions and are highly sensitive to frontal lobe lesions. However, using VFTs in different cultures and languages needs further considerations. The aim of this study was to provide a Persian (Farsi) version of verbal fluency with preliminary normative data.
Method: In the first phase, 50 healthy native Persian-speaking individuals completed 1-minute VFT for all 32 letters in Persian to find letters with highest frequency. In the second phase, 100 healthy participants (50 females) were recruited into 5 age groups that were matched by gender and education. Participants were instructed to do 1-minute VFT for the 3 selected letters (phonemic VFT) and 3 categories (animal, supermarket, and fruit) (semantic VFT). For data analysis, one-way ANOVA was performed.
Results: In the first phase, 3 letters (Pe standing for /P/, Meem for /M/ and Kaaf for /K/) had the highest frequency in word production (12 in average) and had been chosen for Persian phonemic VFT. Participants were assessed with the 3 selected letters (/P/: 12.28±3.607, /M/: 12.54±3.907, and /K/: 12.48±3.708) and 3 semantic categories (animal: 21.67±5.119, supermarket: 21.19±4.907, and fruit: 19.58±4.439) with 1-minute time limitation for each test. The results showed that education was significantly (p<0.01) associated with the performance in the phonemic but not semantic scores, while age was not correlated with either of the tests. No significant effect of gender was observed.
Conclusion: Based on our results, we recommend Persian letters Pe, Meem, and Kaff that have the highest frequency in word production among others to be used for neuropsychological assessments and future studies in the Persian language. This is the same logic behind selecting F, A, and S in the English version. Although the norms obtained in this study are preliminary, these results can be useful in clinical evaluation with considerations about age and educational levels. Moreover, the findings of this study can be used as an initial step for more comprehensive normative studies.
Lezak MD. Neuropsychological assessment. New York: Oxford university press; 2004.
Kavé G. Phonemic fluency, semantic fluency, and difference scores: Normative data for adult Hebrew speakers. J Clin Exp Neuropsychol 2005; 27: 690–699.
Dadgar H, Khatoonabadi AR, Bakhtiyari J. Verbal Fluency Performance in Patients with Non-demented Parkinson’s Disease. Iran J Psychiatry 2013; 8: 55-58.
Henry JD, Crawford JR, Phillips LH. Verbal fluency performance in dementia of the Alzheimer’s type: a meta-analysis. Neuropsychologia 2004; 42: 1212–1222.
Strauss E, Sherman EM, Spreen O. A compendium of neuropsychological tests: Administration, norms, and commentary. New York: Oxford University Press; 2006.
Henry JD, Crawford JR. A meta-analytic review of verbal fluency performance following focal cortical lesions. Neuropsychology 2004; 18: 284-295.
Tombaugh TN, Kozak J, Rees L. Normative Data Stratified by Age and Education for Two Measures of Verbal Fluency: FAS and Animal Naming. Arch Clin Neuropsychol. 1999; 14: 167–177.
Benton AL, Hamsher KD, Sivan AB. Multilingual aphasia examination: manual of instructions. AJA Assoc; 1994.
Ruff RM, Light RH, Parker SB, Levin HS. Benton controlled oral word association test: Reliability and updated norms. Arch Clin Neuropsychol 1996; 11: 329–338.
Kempler D, Teng EL, Dick M, Taussig I, Davis DS. The effects of age, education, and ethnicity on verbal fluency. J Int Neuropsychol Soc 998; 4: 531–538.
Chan AS, Poon MW. Performance of 7-to 95-year-old individuals in a Chinese version of the category fluency test. J Int Neuropsychol Soc 1999; 5: 525–533.
Khalil MS. Preliminary Arabic normative data of neuropsychological tests: The verbal and design fluency. J Clin Exp Neuropsychol 2010; 32: 1028–1035.
Capitani E, Laiacona M, Barbarotto R. Gender affects word retrieval of certain categories in semantic fluency tasks. Cortex 1999; 35: 273–278.
Benito-Cuadrado MM, Esteba-Castillo S, Böhm P, Cejudo-Bolivar J, Peña-Casanova J. Semantic verbal fluency of animals: a normative and predictive study in a Spanish population. J Clin Exp Neuropsychol 2002; 24: 1117–1122.
Ratcliff G, Ganguli M, Chandra V, Sharma S, Belle S, Seaberg E, et al. Effects of literacy and education on measures of word fluency. Brain Lang 1998; 61: 115–122.
Malek A, Hekmati I, Amiri S, Pirzadeh J, Gholizadeh H. Designing and standardization of Persian version of verbal fluency test among Iranian bilingual (Turkish-Persian) adolescents. J Anal Res Clin Med 2013; 1: 32-42.
Bahrami H, Nejati V, Pooretemad H. A Comparative Study of Phonemic and Semantic Verbal Fluency in Children and Adolescents with Developmental Stuttering. Zahedan J Res Med Sci 2014; 16: 41–44.
Gladsjo JA, Schuman CC, Evans JD, Peavy GM, Miller SW, Heaton RK. Norms for letter and category fluency: Demographic corrections for age, education, and ethnicity. Assessment 1999; 6: 147–178.
Heaton RK. Revised comprehensive norms for an expanded Halstead-Reitan Battery: Demographically adjusted neuropsychological norms for African American and Caucasian adults, professional manual Lutz, FL. Psychological Assessment Resources; 2004.
Loonstra AS, Tarlow AR, Sellers AH. COWAT metanorms across age, education, and gender. Appl Neuropsychol 2001; 8: 161–166.
Mitrushina M. Handbook of normative data for neuropsychological assessment. New York: Oxford University Press; 2005.
Brickman AM, Paul RH, Cohen RA, Williams LM, MacGregor KL, Jefferson AL, et al. Category and letter verbal fluency across the adult lifespan: relationship to EEG theta power. Arch Clin Neuropsychol 2005; 20: 561–573.
Mathuranath PS, George A, Cherian PJ, Alexander A, Sarma SG, Sarma PS. Effects of age, education and gender on verbal fluency. J Clin Exp Neuropsychol. 2003; 25: 1057–1064.
Peña-Casanova J, Quiñones-Úbeda S, Gramunt-Fombuena N, Quintana-Aparicio M, Aguilar M, Badenes D, et al. Spanish Multicenter Normative Studies (NEURONORMA Project): norms for verbal fluency tests. Arch Clin Neuropsychol 2009; 24: 395–411.
Acevedo A, Loewenstein DA, Barker WW, Harwood DG, Luis C, Bravo M, et al. Category fluency test: normative data for English-and Spanish-speaking elderly. J Int Neuropsychol Soc. 2000; 6: 760–769.
Anstey KJ, Matters B, Brown AK, Lord SR. Normative data on neuropsychological tests for very old adults living in retirement villages and hostels. Clin Neuropsychol 2000; 14: 309–317.
Bäckman L, Wahlin AAke, Small BJ, Herlitz A, Winblad B, Fratiglioni L. Cognitive functioning in aging and dementia: The Kungsholmen Project. Aging Neuropsychol Cogn 2004; 11: 212–244.
Gladsjo JA, Schuman CC, Evans JD, Peavy GM, Miller SW, Heaton RK. Norms for letter and category fluency: demographic corrections for age, education, and ethnicity. Assessment 1999; 6: 147–178.
Al-Ghatani AM, Obonsawin MC, Al Moutaery KR. Normative data for the two equivalent forms of the Arabic verbal fluency test. Pan Arab J Neurosurg 2009; 13: 57–65.
Casals-Coll M, Sánchez-Benavides G, Quintana M, Manero RM, Rognoni T, Calvo L, et al. Spanish normative studies in young adults (< i> NEURONORMA young adults project): Norms for verbal fluency tests. Neurologia 2013; 28: 33-40.
Crossley M, D’arcy C, Rawson NS. Letter and category fluency in community-dwelling Canadian seniors: A comparison of normal participants to those with dementia of the Alzheimer or vascular type. J Clin Exp Neuropsychol 1997; 19: 52–62.
Machado TH, Fichman HC, Santos EL, Carvalho VA, Fialho PP, Koenig AM, et al. Normative data for healthy elderly on the phonemic verbal fluency task-FAS. Dement Neuropsychol 2009; 3: 55–60.
KOSMIDIS MH, Vlahou CH, Panagiotaki P, Kiosseoglou G. The verbal fluency task in the Greek population: Normative data, and clustering and switching strategies. J Int Neuropsychol Soc 2004; 10: 164–172.
Laws KR. Gender affects naming latencies for living and nonliving things: Implications for familiarity. Cortex 1999; 35: 729–733.
Tombaugh TN, Kozak J, Rees L. Normative data stratified by age and education for two measures of verbal fluency: FAS and animal naming. Arch Clin Neuropsychol 1999; 14: 167–177.
Anderson P, Northam E, Jacobs R, Catroppa C. Development of executive functions through late childhood and adolescence in an Australian sample. Dev Neuropsychol 2001; 20: 385–406.
Bolla KI, Lindgren KN, Bonaccorsy C, Bleecker ML. Predictors of verbal fluency (FAS) in the healthy elderly. J Clin Psychol 1990; 46: 623–628.
Assefi Shirazi T. [Penn Language Center] (https://plc.sas.upenn.edu/persian)
Files | ||
Issue | Vol 13 No 4 (2018) | |
Section | Original Article(s) | |
Keywords | ||
Farsi Neuropsychological Assessment Normative Data Persian Verbal Fluency |
Rights and permissions | |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |