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. 2020 Nov 3;17(21):8129.
doi: 10.3390/ijerph17218129.

Dual-Task Tests Predict Conversion to Dementia-A Prospective Memory-Clinic-Based Cohort Study

Affiliations

Dual-Task Tests Predict Conversion to Dementia-A Prospective Memory-Clinic-Based Cohort Study

Hanna B Åhman et al. Int J Environ Res Public Health. .

Abstract

The aim of this study was to investigate whether Timed Up-and-Go (TUG) dual-task (TUGdt) tests predict dementia incidence among patients with subjective or mild cognitive impairment (SCI; MCI). Other study objectives were to determine whether TUGdt improves dementia prediction compared to a) demographic characteristics and standard cognitive tests alone; and b) TUG and Verbal Fluency performed separately. Patients (n = 172, age range 39-91 years, 78 women) with SCI or MCI performed TUGdt tests, including 1) naming animals and 2) reciting months backwards, and clinical cognitive tests at baseline. Diagnoses were identified at follow-up after 2.5 years. Logistic regression was used to predict dementia incidence, receiver operating characteristic (ROC) curves and c-statistics for predictive capacity. Analyses were stratified by age and gender. At follow-up, 51 patients had developed dementia. The TUGdt result "animals/10 s" was associated with dementia incidence (standardized odds ratio (OR) = 4.06, 95% confidence interval (CI) 2.28-7.23, p < 0.001), more so among patients under the median age of 72 years (standardized OR = 19.4, 95% CI 3.53-106.17, p < 0.001). TUGdt "animals/10 s" improved dementia prediction compared to demographic characteristics and standard tests alone (c-statistics 0.88 to 0.94) and single-task tests (c-statistics 0.86 to 0.89), but only in the younger patient group. TUGdt has the potential to become a useful tool for dementia prediction.

Keywords: dementia; dual-task; gait; mild cognitive impairment; subjective cognitive impairment.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Standardized odds ratios for conversion to dementia among participants younger than 72 years. Forest plot presenting standardized odds ratios (A) unadjusted (Model 1), (B) adjusted for age, gender, and educational level (Model 2), and (C) adjusted for age, gender, educational level, Mini Mental State Examination, and Clock Drawing score (Model 3). Standardized odds ratios measure the increase of odds per one standard deviation increase of the predictor. * Standardized odds ratios measure the increase of odds per one standard deviation decrease of the predictor.
Figure 1
Figure 1
Standardized odds ratios for conversion to dementia among participants younger than 72 years. Forest plot presenting standardized odds ratios (A) unadjusted (Model 1), (B) adjusted for age, gender, and educational level (Model 2), and (C) adjusted for age, gender, educational level, Mini Mental State Examination, and Clock Drawing score (Model 3). Standardized odds ratios measure the increase of odds per one standard deviation increase of the predictor. * Standardized odds ratios measure the increase of odds per one standard deviation decrease of the predictor.
Figure 2
Figure 2
Prediction of dementia incidence. Receiver operating characteristic (ROC) curves presenting the predicting capacity (c-statistics) of “animals/10 s” (blue curve) added to a base model of age, gender, educational level, Mini Mental State Examination score, and Clock Drawing score (red curve) in (A) the total sample, (B) participants aged less than 72 years, and (C) participants aged 72 years and older.

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