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The effects of gender, age, schooling, and cultural background on the identification of facial emotions: a transcultural study

Published online by Cambridge University Press:  25 May 2018

Leonardo Cruz de Souza*
Affiliation:
Programa de Pós-Graduação em Neurociências, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil Departamento de Clínica Médica, Faculdade de Medicina da UFMG, Belo Horizonte, MG, Brazil Laboratório Interdisciplinar de Investigação Médica, Faculdade de Medicina da UFMG, Belo Horizonte, MG, Brazil
Maxime Bertoux
Affiliation:
Centre Mémoire de Ressources et de Recherche (CMRR), University Hospital of Lille (France) & Inserm U1171, Lille, France
Ângelo Ribeiro Vaz de Faria
Affiliation:
Laboratório Interdisciplinar de Investigação Médica, Faculdade de Medicina da UFMG, Belo Horizonte, MG, Brazil
Laiane Tábata Souza Corgosinho
Affiliation:
Laboratório Interdisciplinar de Investigação Médica, Faculdade de Medicina da UFMG, Belo Horizonte, MG, Brazil
Ana Carolina de Almeida Prado
Affiliation:
Laboratório Interdisciplinar de Investigação Médica, Faculdade de Medicina da UFMG, Belo Horizonte, MG, Brazil
Izabela Guimarães Barbosa
Affiliation:
Programa de Pós-Graduação em Neurociências, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil Laboratório Interdisciplinar de Investigação Médica, Faculdade de Medicina da UFMG, Belo Horizonte, MG, Brazil Departamento de Saúde Mental, Faculdade de Medicina da UFMG, Belo Horizonte, MG, Brazil
Paulo Caramelli
Affiliation:
Programa de Pós-Graduação em Neurociências, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil Departamento de Clínica Médica, Faculdade de Medicina da UFMG, Belo Horizonte, MG, Brazil
Enrico Colosimo
Affiliation:
Departamento de Estatística, UFMG, Belo Horizonte, MG, Brazil
Antônio Lúcio Teixeira
Affiliation:
Programa de Pós-Graduação em Neurociências, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil Departamento de Clínica Médica, Faculdade de Medicina da UFMG, Belo Horizonte, MG, Brazil Laboratório Interdisciplinar de Investigação Médica, Faculdade de Medicina da UFMG, Belo Horizonte, MG, Brazil
*
Correspondence should be addressed to: Leonardo Cruz de Souza, Faculdade de Medicina, Universidade Federal de Minas Gerais. Avenida Professor Alfredo Balena, no. 190/sl 243, Santa Efigênia, Belo Horizonte, MG CEP 30.130-100, Brazil. Phone number: + 55 31 3409 8073. E-mail: leocruzsouza@hotmail.com.

Abstract

Background:

Social cognition tasks, such as identification of emotions, can contribute to the diagnosis of neuropsychiatric disorders. The wide use of Facial Emotion Recognition Test (FERT) is hampered by the absence of normative dataset and by the limited understanding of how demographic factors such as age, education, gender, and cultural background may influence the performance on the test.

Methods:

We analyzed the influence of these variables in the performance in the FERT from the short version of the Social and Emotional Assessment. This task is composed by 35 pictures with 7 different emotions presented 5 times each. Cognitively healthy Brazilian participants (n = 203; 109 females and 94 males) underwent the FERT. We compared the performance of participants across gender, age, and educational subgroups. We also compared the performance of Brazilians with a group of French subjects (n = 60) matched for gender, age, and educational level.

Results:

There was no gender difference regarding the performance on total score and in each emotion subscore in the Brazilian sample. We found a significant effect of aging and schooling on the performance on the FERT, with younger and more educated subjects having higher scores. Brazilian and French participants did not differ in the FERT and its subscores. Normative data for employing the FERT in Brazilian population is presented.

Conclusions:

Data here provided may contribute to the interpretation of the results of FERT in different cultural contexts and highlight the common bias that should be corrected in the future tasks to be developed.

Type
Original Research Article
Copyright
Copyright © International Psychogeriatric Association 2018 

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References

American Psychiatric Association (2013). Diagnostic and Statistical Manual of Mental Disorders (DSM-V). Washington, DC: American Psychiatric Association.Google Scholar
Bertoux, M., de Souza, L. C., Sarazin, M., Funkiewiez, A., Dubois, B. and Hornberger, M. (2015). How preserved is emotion recognition in Alzheimer disease compared with behavioral variant frontotemporal dementia?. Alzheimer Disease and Associated Disorders, 29, 154–7.Google Scholar
Bertoux, M.., . ., ., . . et al. (2012). Social cognition and emotional assessment differentiates frontotemporal dementia from depression. The Journal of Neurology, Neurosurgery, and Psychiatry 83, 411–6.Google Scholar
Botega, N. J., Bio, M. R., Zomignani, M. A., Garcia, C. Jr. and Pereira, W. A. (1995). Mood disorders among inpatients in ambulatory and validation of the anxiety and depression scale HAD. Revista de Saude Publica, 29, 355–63.Google Scholar
Buhl, C., Stokholm, J. and Gade, A. (2013). Clinical utility of short social cognitive tests in early differentiation of behavioral variant frontotemporal dementia from Alzheimer's disease. Dementia and Geriatric Cognitive Disorders Extra, 3, 376–85.Google Scholar
Cleveland, W. S. (1993). Visualizing Data. Summit, NJ: Hobart Press.Google Scholar
Demenescu, L. R., Mathiak, K. A. and Mathiak, K. (2014). Age- and gender-related variations of emotion recognition in pseudowords and faces. Experimental Aging Research, 40, 187207.Google Scholar
Derntl, B., ., ., ., . . et al. (2010). Multidimensional assessment of empathic abilities: neural correlates and gender differences. Psychoneuroendocrinology, 35, 6782.Google Scholar
Dodich, A., ., ., ., . et al. (2014). Emotion recognition from facial expressions: a normative study of the Ekman 60-Faces test in the Italian population. Neurological Sciences, 35, 1015–21.Google Scholar
Ekman, P. and Friesen, W. V. (1975). Pictures of Facial Affect. Palo Alto, CA: Consulting Psychologists Press.Google Scholar
Ekman, P., . ., ., ., . et al. (1987). Universals and cultural differences in the judgments of facial expressions of emotion. Journal of Personality and Social Psychology, 53, 712–7.Google Scholar
Ekman, P., Sorenson, E. R. and Friesen, W. V. (1969). Pan-cultural elements in facial displays of emotion. Science, 164, 86–8Google Scholar
Engelmann, J. B. and Pogosyan, M. (2013). Emotion perception across cultures: the role of cognitive mechanisms. Frontiers in Psychology, 4, 118.Google Scholar
Grainger, S. A., Henry, J. D., Phillips, L. H., Vanman, E. J. and Allen, R. (2015). Age deficits in facial affect recognition: the influence of dynamic cues. The Journals of Gerontology. Series B, 72, 622–632.Google Scholar
Halberstadt, J., Ruffman, T., Murray, J., Taumoepeau, M. and Ryan, M. (2011). Emotion perception explains age-related differences in the perception of social gaffes. Psychology and Aging, 26, 133–6.Google Scholar
Kalpouzos, G. et al. (2009). Structural and metabolic correlates of episodic memory in relation to the depth of encoding in normal aging. Journal of Cognitive Neuroscience, 21, 372–89.Google Scholar
Khawar, R., Malik, F., Maqsood, S., Yasmin, T. and Habib, S. (2013). Age and gender differences in emotion recognition ability and intellectual functioning. Journal of Behavioural Sciences, 23, 5371.Google Scholar
Kumfor, F. and Piguet, O. (2013). Emotion recognition in the dementias: brain correlates and patient implications. Neurodegenerative Disease Management, 3, 277–88.Google Scholar
Lawrence, K., Campbell, R. and Skuse, D. (2015). Age, gender, and puberty influence the development of facial emotion recognition. Frontiers in Psychology, 6, 761.Google Scholar
Lindquist, K. A., Gendron, M., Barrett, L. F. and Dickerson, B. C. (2014). Emotion perception, but not affect perception, is impaired with semantic memory loss. Emotion, 14, 375–87.Google Scholar
Mill, A., Allik, J., Realo, A. and Valk, R. 2009. Age-related differences in emotion recognition ability: a cross-sectional study. Emotion, 9, 619–30.Google Scholar
Nitrini, R. et al. (2004). Performance of illiterate and literate nondemented elderly subjects in two tests of long-term memory. Journal of the International Neuropsychological Society, 10, 634–8.Google Scholar
Nitrini, R. et al. (2009). Prevalence of dementia in Latin America: a collaborative study of population-based cohorts. International Psychogeriatric, 21, 622–30.Google Scholar
Nitrini, R. and Caramelli, P. (2003). Demências. In Nitrini, R. and Bacheschi, L. (eds.), A Neurologia Que Todo Médico Deve Saber. São Paulo: Atheneu.Google Scholar
Opdebeeck, C., Martyr, A. and Clare, L. (2016). Cognitive reserve and cognitive function in healthy older people: a meta-analysis. Neuropsychology, Development, and Cognition. Section B, Aging, Neuropsychology and Cognition, 23, 4060.Google Scholar
Roca, M. et al. (2013). Intelligence and executive functions in frontotemporal dementia. Neuropsychologia, 51, 725–30.Google Scholar
Ruffman, T., Henry, J. D., Livingstone, V. and Phillips, L. H.. (2008). A meta-analytic review of emotion recognition and aging: implications for neuropsychological models of aging. Neuroscience and Biobehavioral Reviews, 32, 863–81.Google Scholar
Russell, J. A. (1994). Is there universal recognition of emotion from facial expression? A review of the cross-cultural studies. Psychological Bulletin, 115, 102–41.Google Scholar
Torralva, T., Roca, M., Gleichgerrcht, E., Bekinschtein, T. and Manes, F. (2009). A neuropsychological battery to detect specific executive and social cognitive impairments in early frontotemporal dementia. Brain, 132, 1299–309.Google Scholar
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