|Classification and external resources|
Cognitive deficit or cognitive impairment is an inclusive term to describe any characteristic that acts as a barrier to the cognition process. The term may describe deficits in global intellectual performance, as with intellectual disabilities; it may describe specific deficits in cognitive abilities (learning disorders, dyslexia); or it may describe drug-induced cognitive/memory impairment, such as that seen with alcohol, glucocorticoids, and the benzodiazepines. Cognitive deficits may be congenital or caused by environmental factors such as brain injuries, neurological disorders, or mental illness.
There is evidence to indicate that parallel age trends have been similar over a vast amount of time, as with Schaie’s Seattle Longitudinal Study, which contained fifty years worth of data as well as seventy years in Wechsler tests. Studies such as these have proven the different patterns in age trends have two specific patterns in cognition, a constant decrease in measures of processing abilities such as reasoning, and stability followed by a steady decline for knowledge previously acquired.
A twelve-year study published in 2012 researched the effects of lifestyle activities on cognitive deficit in the hopes that a long study such as this could, to some degree, help older adults to ward off cognitive decline. The study looked at verbal speed, episodic memory, and semantic memory to be influenced by physical, social, and cognitive activities. The results of the study concluded that maintenance of cognitive functions with normal aging can be maintained by keeping an active lifestyle. The results also seemed to conclude that the correlation between lifestyle activities and cognition is not a simple one, as not all cognitive abilities were related to changes in the daily activities. Therefore, further research of longitudinal design observing the matches between activities and cognitive abilities in cognitively impaired adults could be critical.
Longitudinal studies using brain imaging have been done in an attempt to note early signs of cognitive decline on healthy individuals before changes noticed clinically occur. In this way the study attempted to find more biomarkers for early onset of degenerative diseases. The results from the study concluded that there are indeed patterns of brain abnormality that can be associated with brain decline.
In a cross-sectional study, researchers investigated patients with mood disorders in comparison with a control group to see if there was a difference on the effect of aging between the groups. These patients were tested with the Central Nervous System Vital Signs, a neurocognitive battery test. The study examined subjects from ages 18 to 90, noticing a sharp decline in the patients with mood disorder compared to the normal group when subjects were ages 65 and up. These declines were observed in the cognitive areas of attention, executive function, processing speed, and memory.
Although one would expect cognitive decline to have major effects on job performance, it seems that there is little to no correlation of health with job performance. With the exception of cognitive-dependent jobs such as air-traffic controller, professional athlete, or other elite jobs, age does not seem to impact one’s job performance. This obviously conflicts with cognitive tests given, so the matter has been researched further. One possible reason for this conclusion is the rare need for a person to perform at their maximum. There is a difference between typical functioning, that is – the normal level of functioning for daily life, and maximal functioning, that is – what cognitive tests observe as our maximum level of functioning. As the maximum cognitive ability that we are able to achieve decreases, it may not actually affect our daily lives, which only require the normal level.
Some studies have indicated that childhood hunger might have a protective effect on cognitive decline. One possible explanation is that the onset of age-related changes in the body can be delayed by calorie restriction. Another possible explanation is the selective survival effect, as the study participants who had a childhood with hunger tend to be the healthiest of their era.
Prompt environmental effects
In 2015, experimental studies reported the detection of significant episodic (situational) cognitive impairment from impurities in the air breathed by test subjects who were not informed about changes in the air quality. Researchers at the Harvard University and SUNY Upstate Medical University and Syracuse University measured the cognitive performance of 24 participants in three different controlled laboratory atmospheres that simulated those found in "conventional" and "green" buildings, as well as green buildings with enhanced ventilation. Performance was evaluated objectively using the widely used Strategic Management Simulation software simulation tool, which is a well-validated assessment test for executive decision-making in an unconstrained situation allowing initiative and improvisation. Significant deficits were observed in the performance scores achieved in increasing concentrations of either volatile organic compounds (VOCs) or carbon dioxide, while keeping other factors constant. The highest impurity levels reached are not uncommon in some classroom or office environments.
- Coren, Stanley; Lawrence M. Ward; James T. Enns (1999). Sensation and Perception. Harcourt Brace. p. 9. ISBN 0-470-00226-3.
- Belanoff, JK, Gross, K, Yager, A, and Schatzaberg, AF, 2001, Corticosteroids and cognition, J Psychiatr Res, 35(3):127–145
- Kalachnik, JE.; Hanzel, TE.; Sevenich, R.; Harder, SR. (Sep 2002). "Benzodiazepine behavioral side effects: review and implications for individuals with mental retardation". Am J Ment Retard 107 (5): 376–410. doi:10.1352/0895-8017(2002)107<0376:BBSERA>2.0.CO;2. ISSN 0895-8017. PMID 12186578.
- Hockenbury, Don and Sandy (2004). Discovering Psychology. Worth Publishers. ISBN 0-7167-5704-4.[page needed]
- Fried, Yehuda and Joseph Agassi, (1976). Paranoia: A Study in Diagnosis. Boston Studies in the Philosophy of Science, 50. ISBN 90-277-0704-9.[page needed]
- Gualtieri, C. Thomas; Johnson, Lynda G. (May 2008). "Age-related cognitive decline in patients with mood disorders". Progress in Neuro-Psychopharmacology and Biological Psychiatry 32 (4): 962–967. doi:10.1016/j.pnpbp.2007.12.030. PMID 18243461.
- Small, B; Dixon R; McArdle J; Grimm K. (March 2012). "Do changes in lifestyle engagement moderate cognitive decline in normal aging? Evidence from the Victoria Longitudinal Study". Neuropsychology 26 (2): 144–155. doi:10.1037/a0026579. PMC 3761970. PMID 22149165.
- Clark, VH; Resnick SM; Doshi J; Beason-Held LL; Zhou Y; Ferrucci L; Wong DF; Kraut MA; Davatzikos C (December 2012). "Longitudinal imaging pattern analysis (SPARE-CD index) detects early structural and functional changes before cognitive decline in healthy older adults". Neurobiology of Aging 33 (12): 2733–45. doi:10.1016/j.neurobiolaging.2012.01.010. PMC 4023476. PMID 22365049.
- Salthouse, Timothy (10 January 2012). "Consequences of Age-Related Cognitive Declines". Annual Review of Psychology 63 (1): 201–226. doi:10.1146/annurev-psych-120710-100328.
- Barnes, L. L.; Wilson, R. S.; Everson-Rose, S. A.; Hayward, M. D.; Evans, D. A.; Mendes de Leon, C. F. (26 October 2015). "Effects of early-life adversity on cognitive decline in older African Americans and whites". Neurology 79 (24): 2321–7. doi:10.1289/ehp.1510037. PMC 3578376. PMID 23233682.
- "New Study Demonstrates Indoor Building Environment Has Significant, Positive Impact on Cognitive Function". New York Times. 26 October 2015.
- Allen, Joseph G.; MacNaughton, Piers; Satish, Usha; Santanam, Suresh; Vallarino, Jose; Spengler, John D. (2015). "Associations of Cognitive Function Scores with Carbon Dioxide, Ventilation, and Volatile Organic Compound Exposures in Office Workers: A Controlled Exposure Study of Green and Conventional Office Environments". Environmental Health Perspectives. doi:10.1289/ehp.1510037.
- Das, J.P.; Naglieri, J.A.; Kirby, J.R. (1994). Assessment of Cognitive Processes. Needham Heights, MA, USA: Allyn & Bacon. ISBN 0-205-14164-1.
- Das, J.P. (2002). A better look at intelligence. Current Directions in Psychology, 11, 28–32.
- Goldstein, Gerald; Beers, Susan, eds (2004). Comprehensive Handbook of Psychological Assessment: Volume I: Intellectual and Neurological Assessment. Hoboken (NJ): John Wiley & Sons.
- Kaufman, Alan S. (2000). "Chapter 20: Tests of Intelligence". In Sternberg, Robert J. Handbook of Intelligence. Cambridge: Cambridge University Press. pp. 445–476. ISBN 978-0-521-59648-0. Lay summary (22 July 2013).
- Naglieri, Jack A.; Otero, Tulio M. (2012). "Chapter 15: The Cognitive Assessment System: From Theory to Practice". In Flanagan, Dawn P.; Harrison, Patti L. Contemporary Intellectual Assessment: Theories, tests, and issues (Third ed.). New York (NY): Guilford Press. pp. 376–399. ISBN 978-1-60918-995-2. Lay summary (29 March 2014).
- Sattler, Jerome M. (2008). Assessment ofChildren: Cognitive Foundations. La Mesa (CA): Jerome M. Sattler, Publisher.
- Urbina, Susana (2004). Essentials of Psychological Testing. John Wiley & Sons. ISBN 978-0-471-41978-5. Lay summary (10 October 2013).
- Urbina, Susana (2011). "Chapter 2: Tests of Intelligence". In Sternberg, Robert J.; Kaufman, Scott Barry. The Cambridge Handbook of Intelligence. Cambridge: Cambridge University Press. pp. 20–38. ISBN 9780521739115. Lay summary (9 February 2012).