CC BY-NC-ND 4.0 · Journal of Health and Allied Sciences NU 2018; 08(03): 007-011
DOI: 10.1055/s-0040-1708756
Original Article

Executive Functioning in Healthy Aged Population in comparison to Young Adults Using Cognitive Estimation Test

Shrunga M S.
1   Lecturer, Nitte Institute of Speech and Hearing, Mangalore
,
Livingston Sengolraj
2   Audiologist, Branch Manager and Microsuction earwax Specialist, Amplifon, United Kingdom
,
Radish Kumar B.
3   Head, Department of Audiology and Speech Language Pathology, Kasturba Medical College, Mangalore
› Author Affiliations

Abstract

Background and objective: Cognitive estimation is an important task in which people engage themselves in estimating the environment in different aspects of their life, such as; distance, quantity, size, weight etc The study was taken up to evaluate the cognitive estimation skills in Healthy Aged Population in comparison to Young Adults.

Methodology: A total of 40 healthy young and old adults participated in the study. The participants were divided into two groups. Cognitive Estimation Test (CET) was administered for both the groups. The CET, was modified to suit Indian population consisted of 18 questions under the domains of distance, quantity, size, weight, temperature and time. Responses were scored for Under-estimation (UE), Over-estimation (OE), Approximate answer (AA), and No answer (NA). Number of UE, OE, AA, and NA were calculated. Independent t-test was employed to find out the significant differences between the means of both the groups.

Results: Results revealed that young adults were better in estimating the environment when compared to healthy aged population, which was significant .Distance and size dimensions were remarkably affected in comparison to all other dimensions. Instances of No answers (NA) were higher in healthy aged population in comparison to young adults.

Conclusion: The results indicate that, the decline in cognitive estimation abilities is a part of healthy aging rather than a pathological condition. Thus CET can be used as a tool in the assessment and management of cognitive disorders.



Publication History

Received: 22 February 2018

Accepted: 12 June 2018

Article published online:
21 April 2020

© .

Thieme Medical and Scientific Publishers Private Ltd.
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  • References

  • 1 Shallice T, Evans ME. The involvement of the frontal lobes in cognitive estimation. Cortex.1978; 14(2), 294-303.
  • 2 Just MA, Carpenter PA. A capacity theory of comprehension: Individual differences in working memory. Psychological Review. 1992; 99, 122–149.
  • 3 Jonides J, Marshuetz C, Smith EE., Reuter-Lorenz PA., Koeppe RA, Hartley A. Age differences in behavior and PET activation reveal differences in interference resolution in verbal working memory. References Journal of cognitive Neuroscience. 2000; 12(1), 188-196.
  • 4 Levinoff EJ, Phillips NA, Verret L, Babins L, Kelner N, Akerib V, Chertkow H. Cognitive estimation impairment in Alzheimer disease and mild cognitive impairment. Neuropsychology.2006; 20(1), 123-132.
  • 5 Shallice T, Evans ME. The involvement of the frontal lobes in cognitive estimation. Cortex. 1978; 14(2), 294-303.
  • 6 Smith ML, Milner B. Differential effects of frontal-lobe lesions on cognitive estimation and spatial memory. Neuropsychologia. 1984; 22,697–705.
  • 7 Jhonson MJ. That was your life: a biological approach to later life. An ageing population. Milton Keynes: Open University Press. 1985.
  • 8 Bullard ES, Fein D, Gleeson MK, Tischer N, Mapou RL, Kaplan E. The Biber Cognitive Estimation Test. Archives of Clinical Neuropsychology. 2004; 19, 835–846.
  • 9 Brand M, Kalbe E, Kessler J. Qualitative and quantitative differences in cognitive estimation of patients with probable Alzheimer's diseasefrom healthy controls – what are the differences ? In P. Calabrese & A.Neugebauer (Eds.), Memory and emotion . 2002; 425–429.
  • 10 Freeman MR, Ryan JJ, Lopez SJ, Mittenberg W. Cognitive estimation in traumatic brain injury, relationships with measuresof intelligence, memory, and affect. International Journal of Neuroscience. 1995; 83, 269–273.
  • 11 Revkin KS, Piazza M, Izard V, Zamarian L, Karner E, Delazer M. Verbal numerosity estimation deficit in the context of spared semantic representation of numbers: A neuropsychological study of a patient with frontal lesions. Neuropsychologia. 2008; 46, 2463–2475.
  • 12 Nielson KA, Langenecker SA, Ross TJ, Garavan H, Rao SM, Stein EA. Comparability of functional MRI response in young and old during inhibition. Neuroreport. 2004; 15(1), 129-133.
  • 13 Jackson JC, Mitchella N, Hopkins RO. Cognitive Functioning, Mental Health, and Quality of Life in ICU Survivors: An Overview. Critical Care Clinics. 2009; 25(3), 615-628.