[Cognitive impairment]

Disparities in Olfactory Dysfunction in African Americans

OBJECTIVES

To examine olfactory performance in African Americans (AA) and Whites by comparing individual scent scores on objective olfactory tests to assess potential racial-ethnic differences of scent detection.

METHODS

Cross-sectional study of healthy participants, age 18+ years, and without sinonasal inflammatory disease from June 2021 to April 2022. Included participants self-identified as AA or White. Patients were recruited from outpatient clinics at University of Kansas Medical Center, and the local community. Two smelling tests were employed: Affordable Rapid Olfactory Measurement Array (AROMA) and Sniffin' Sticks (SST-12). Sino-Nasal Outcome Test (SNOT-22) was used for self-reported olfactory function . Pearson correlation and chi-square tests were used to detect statistical significance.

RESULTS

Our sample included 102 (46 AA and 56 Whites) participants. AROMA and SST-12 scores were significantly correlated in AA (P < .01, Pearson's Rho = .642) and Whites (P < .05, Pearson's Rho = .297). Mean scores on AROMA were significantly lower for AAs: 64.2 and Whites: 75.5 (P < .01). On AROMA, AA less accurately identified the scents of Licorice, Orange, Lavender, Cinnamon, Clove, and Rosemary (P < .05). Similarly, SST-12 mean scores for AAs: 84.2 were also lower than Whites: 89.9 (P < .01). On SST-12, AA less accurately identified the scent of pineapple Based on SST-12 scoring criteria, 60.9% of AA and 30.4% of Whites were classified as hyposmic (P < .05). SNOT-22 Smell scores were equivalent for both groups.

CONCLUSION

On both tests of olfaction, AA performed worse than Whites and a greater proportion of AA were considered hyposmic compared to Whites. This is a discrepancy with self-reported olfaction, which showed no difference between Whites and AA. AA performed significantly worse than their White counterparts on several scents, with possible implications regarding cultural appropriateness of scents used in olfactory testing.

Multitask Versus Multicomponent Training on Cognitive and Motor Functions in Persons With Mild Cognitive Impairment: A Randomized Trial

This study aims to compare the effects of multitask (MTT; multiple tasks performed simultaneously) and multicomponent training (MCT; various types of exercise performed sequentially) on processing speed, cognitive functions, gait speed, and balance functions in persons with mild cognitive impairment. Forty-two persons with mild cognitive impairment were randomly allocated to MTT (n = 21) or MCT (n = 21). Outcome measures included processing speed, cognitive functions (attention and executive functions), single-task gait speed, dual-task gait speed (DTGS-Arithmetic and DTGS-Verbal), and balance functions. Processing speed (except inhibition), cognitive functions, gait speed, and balance functions improved in the MTT and MCT groups following training, with no significant differences between the groups in processing speed or cognitive functions. The MCT group improved more on single-task gait speed (F = 15.097; p = .000; r = .270) and DTGS (DTGS-Arithmetic; F = 10.594; p = .002; r = .214), while the MTT group improved more on balance functions (F = 4.366; p = .043; r = .101). MTT and MCT strategies can be used to improve cognitive and physical outcomes in persons with mild cognitive impairment.

Use of technology and social media in dementia care: Current and future directions

As the population across the globe continues to dramatically increase, the prevalence of cognitive impairment and dementia will inevitably increase as well, placing increasing burden on families and health care systems. Technological advancements over the past decade provide potential benefit in not only relieving caregiver burden of caring for a loved one with dementia, but also enables individuals with dementia to age in place. Technological devices have served to improve functioning, tracking and mobility. Similarly, smartphones, tablets and the ubiquitous world wide web have facilitated the dissemination of health information to previously hard to reach populations largely through use of various social media platforms. In this review, we discuss the current and future uses of technology via devices and social media to promote healthy aging in individuals with dementia, and also limitations and challenges to consider in the future.