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Smell test predicts performance on delayed recall memory test in elderly with depression
Monica Z Scalco1, David L Streiner, Dmytro Rewilak
1Department of Psychiatry, Baycrest, Toronto, Ontario, Canada. scalcom@wmhc.ca
International Journal of Geriatric Psychiatry
|September 25, 2008
Summary
The Cross-Cultural Smell Identification Test (CC-SIT) shows promise as a screening tool for cognitive impairment in elderly individuals experiencing depression. This olfactory test can help identify those needing further neuropsychological evaluation.
Area of Science:
- Gerontology
- Neuroscience
- Psychiatry
Background:
- Elderly individuals with depression face a higher risk of cognitive dysfunction and dementia.
- Smell tests have demonstrated a correlation with cognitive test performance in older adults.
- Olfactory function may serve as a potential screening indicator for cognitive impairment in depressed elderly populations.
Purpose of the Study:
- To evaluate the diagnostic validity of the Cross-Cultural Smell Identification Test (CC-SIT) for identifying cognitive impairment in elderly patients with depression.
Main Methods:
- The study included 41 patients aged 60 and above diagnosed with Major Depressive Episode (DSM-IV).
- Participants underwent assessment using the CC-SIT and California Verbal Learning Test (CVLT) after 3 months of depression treatment.
- Receiver Operating Characteristics (ROC) analysis was employed to determine the CC-SIT's accuracy in detecting cognitive impairment based on CVLT delayed recall.
Main Results:
- The study assessed 41 participants (33 women, 8 men) with a mean age of 76.8 years.
- Nine patients exhibited impairment in CVLT delayed recall measures.
- The area under the ROC curve for the CC-SIT was 0.776, indicating moderate accuracy.
Conclusions:
- The findings support the utility of the CC-SIT as a screening tool for cognitive impairment in elderly patients with depression.
- The CC-SIT can serve as an indicator for the necessity of comprehensive neuropsychological evaluations.
- Further research with larger sample sizes is recommended to validate these results.

