| Literature DB >> 33202663 |
Sun Mi Kim1, Hye Ri Kim1, Hyun Jin Min2, Kyung Soo Kim2, Hyuk Ga3, Sang Hoon Lee4, Doug Hyun Han1.
Abstract
Among olfactory functions, odor identification is the most studied predictor of dementia. We aimed to verify whether patients with dementia are less aware of specific odors than cognitively normal individuals using an odor identification test, which includes odorants that are culturally familiar to South Koreans. We divided 139 older adults aged 57-79 years into the dementia and normal cognition groups. Odor identification function was assessed in all participants. We conducted hierarchical logistic regression analyses with the diagnosis of dementia as a dependent variable and three demographic characteristics, as well as 12 odor identification items, as independent variables. Impaired odor identification for herbal medicine (odds ratio (OR) = 9.420; p = 0.012) and Korean grilled meat (OR = 5.361; p = 0.019) and older age (OR = 1.176; p = 0.005) were significant predictors of dementia. Impaired odor identification of culturally familiar odorants was associated with dementia risk. This may be explained by the fact that compared with culturally non-specific universal odorants, familiar odorants are more related to episodic memory, which is impaired in the early stages of dementia. Thus, an optimal combination of odor identification items should be used for screening individuals with cognitive decline requiring further neurocognitive function tests.Entities:
Keywords: Alzheimer’s disease; clinical marker; neurocognitive disorders; odor identification; olfaction
Mesh:
Year: 2020 PMID: 33202663 PMCID: PMC7696462 DOI: 10.3390/ijerph17228441
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Demographic characteristics of the study population (n = 139).
| Normal Cognition | Dementia | Statistics | ||
|---|---|---|---|---|
| Age | 68.48 ± 5.07 | 74.15 ± 5.55 | <0.001 | |
| Sex (male/female) | 25/74 (25.3%/74.7%) | 14/26 (35.0%/65.0%) | 0.247 | |
| Education | χ2 = 2.956 | 0.086 | ||
| Below middle school | 51 (51.5%) | 27 (67.5%) | ||
| High school graduate or higher | 48 (48.5%) | 13 (32.5%) | ||
| CERAD-K score | 74.18 ± 10.41 | 26.60 ± 13.58 | <0.001 | |
| YSK Odor identification score | 10.05 ± 2.66 | 5.28 ± 3.37 | <0.001 |
Note. CERAD-K, Korean Version of the Consortium to Establish a Registry for Alzheimer’s Disease Assessment Packet.
Results of linear regression analyses with the CERAD-K score as the dependent variable (n = 139).
| Independent Variables | Model 1 | Model 2 | |||||||
|---|---|---|---|---|---|---|---|---|---|
| B | Beta |
| B | Beta |
| ||||
| Demographic factors | Sex (female) | −1.071 | −0.020 | −0.274 | 0.785 | −5.624 | −0.104 | −1.661 | 0.099 |
| Age, years | −2.164 | −0.514 | −7.180 | <0.001 | −1.164 | −0.276 | −3.996 | <0.001 | |
| Level of education (low) | −11.017 | −0.225 | −3.120 | 0.002 | −6.921 | −0.141 | −2.264 | 0.025 | |
| Odor identification function | YSK Odor identification score | 3.486 | 0.514 | 7.246 | <0.001 | ||||
| Statistics of the model | F = 23.590 ***, R2 = 0.344 | F = 37.567 ***, R2 = 0.529, | |||||||
Note. CERAD-K, Korean version of the Consortium to Establish a Registry for Alzheimer’s Disease Assessment Packet. *** p < 0.001.
Results of hierarchical logistic regression analyses with diagnosis of dementia as a dependent variable for the normal cognition (n = 99) and dementia (n = 40) groups.
| Independent Variables | Model 1 | Model 2 | |||||||
|---|---|---|---|---|---|---|---|---|---|
| B | Wald | OR | B | Wald | OR | ||||
| Demographic factors | Sex (female) | −0.248 | 0.277 | 0.599 | 0.780 | 0.492 | 0.522 | 0.470 | 1.635 |
| Age, years | 0.219 | 20.391 | 0.000 | 1.245 | 0.162 | 7.918 | 0.005 | 1.176 | |
| Level of education (low) | 0.557 | 1.559 | 0.212 | 1.746 | −0.160 | 0.056 | 0.813 | 0.852 | |
| Odor identification (OI) (false for all items) | Item 1: baby powder | 0.029 | 0.002 | 0.966 | 1.029 | ||||
| Item 2: cinnamon | 0.054 | 0.006 | 0.938 | 1.055 | |||||
| Item 3: peaches | 0.610 | 0.732 | 0.392 | 1.840 | |||||
| Item 4: crust of overcooked rice | 0.670 | 0.865 | 0.352 | 1.953 | |||||
| Item 5: spearmint | 0.770 | 1.210 | 0.271 | 2.160 | |||||
| Item 6: chocolate | −1.623 | 3.175 | 0.075 | 0.197 | |||||
| Item 7: herbal medicine | 2.243 | 6.339 | 0.012 | 9.420 | |||||
| Item 8: medicated patch | 0.091 | 0.014 | 0.906 | 1.095 | |||||
| Item 9: red ginseng | 0.561 | 0.462 | 0.497 | 1.753 | |||||
| Item 10: naphthalene | −1.446 | 3.580 | 0.058 | 0.236 | |||||
| Item 11: Korean grilled meat | 1.679 | 5.502 | 0.019 | 5.361 | |||||
| Item 12: ash | 1.171 | 2.225 | 0.136 | 3.226 | |||||
| Statistics of the model | −2LL | 133.378 | 93.663 | ||||||
| Step χ2 | 33.462 *** (df = 3) | 39.717 *** (df = 12) | |||||||
| Model χ2 | 33.462 *** (df = 3) | 73.179 *** (df = 15) | |||||||
| Nagelkerke R2 | 0.306 | 0.586 | |||||||
| Classification accuracy | 77.7% | 88.5% | |||||||
Note. OR, odds ratio. *** p < 0.001.