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27 Aging Affects Cordoba Naming Test Performance

Published online by Cambridge University Press:  21 December 2023

Jasman Sidhu
Affiliation:
California State University, Fresno, Fresno, CA, USA. The Lundquist Institute, Torrance, CA, USA.
Krithika Sivaramakrishnan
Affiliation:
California State University, Fresno, Fresno, CA, USA. The Lundquist Institute, Torrance, CA, USA.
Raymundo Cervantes
Affiliation:
The Lundquist Institute, Torrance, CA, USA. California State University, Dominguez Hills, Dominguez Hills, CA, USA.
Sarah Saravia
Affiliation:
The Lundquist Institute, Torrance, CA, USA.
Luz Estrada
Affiliation:
Tecnológico de Monterrey, Monterrey, Nuevo Leon, Mexico.
Dulce Garcia
Affiliation:
Tecnológico de Monterrey, Monterrey, Nuevo Leon, Mexico.
Alexia Barrio
Affiliation:
Tecnológico de Monterrey, Monterrey, Nuevo Leon, Mexico.
Isabel D. Munoz
Affiliation:
The Lundquist Institute, Torrance, CA, USA. California State University, Northridge, Northridge, CA, USA.
Enrique Lopez
Affiliation:
The Lundquist Institute, Torrance, CA, USA.
Tara L. Victor
Affiliation:
The Lundquist Institute, Torrance, CA, USA. California State University, Dominguez Hills, Dominguez Hills, CA, USA.
Alberto L. Fernandez
Affiliation:
National University of Cordoba, Cordoba, Argentina.
Daniel W. Lopez-Hernandez*
Affiliation:
The Lundquist Institute, Torrance, CA, USA. University of California San Diego Health, San Diego, CA, USA
*
Correspondence: Daniel W. Lopez-Hernandez, University of California San Diego Health, wdlopez31@gmail.com
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Abstract

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Objective:

The Cordoba Naming Test (CNT) is a 30-item confrontation naming test developed in Argentina. A common confrontation naming task used in the United States is the Boston Naming Test (BNT). Research shows that age affects BNT performance in the 60-item long form. In fact, studies show that scores on confrontation naming tasks increase in childhood and continue to improve until approximately 40 years of age. However, after this period, scores start to subsequently decline, and especially so after 70 years of age. On the other hand, some studies have reported that older adults maintain high BNT performance despite advancing age. To our knowledge, no study has investigated the aging effects of the CNT across various age groups. We expected CNT scores to increase significantly from young adulthood to mid-adulthood and then significantly decline with advancing age.

Participants and Methods:

The present study sample consisted of 272 neurologically and psychologically healthy participants with a mean age of 27.06 (SD = 12.21) with 14.29 years of education completed (SD = 2.46). Participants were divided into six different age groups: 18-19-year-old group, 20-29-year-old group, 30-39-year-old group, 40-49-year-old group, 50-59-year-old group, and 60-69-year-old group. All participants consented to voluntary participation and completed the CNT and a comprehensive background questionnaire in English. The CNT consisted of 30 black and white line drawings, ranging from easy to hard difficulty. An ANCOVA, controlling for gender, was used to evaluate CNT performance between the six age groups. We used a threshold of p < .05 for statistical significance.

Results:

Results revealed significant group differences between the six age groups on the CNT, p = .000, ηp2 = .14. A post-hoc test revealed that the 30-39-year-old group outperformed the 18-19-year-old, 20-29-yearold, and 60-69-year-old groups on the CNT. Finally, the 40-49-year-old group outperformed the 18-19-year-old and 60-69-year-old groups on the CNT.

Conclusions:

As we predicted, participants demonstrated steady improvement in the CNT until the age of 40. However, we found that until the age of 60, CNT performance started to decline significantly. Our data suggests that CNT performance declines significantly at the age of 60 compared to previous research using the BNT. Research shows other demographic variables (e.g., gender, linguistic factors) influence BNT performance. Future investigations on the CNT using a healthy sample should use a multivariate statistical analysis method to help explain influencing factors across aging. This research can have the potential to improve public health to better support and understand individuals from diverse backgrounds.

Type
Poster Session 04: Aging | MCI
Copyright
Copyright © INS. Published by Cambridge University Press, 2023