scholarly journals Reliability and validity of a quick test of cognitive speed (AQT) in screening for mild cognitive impairment and dementia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Pouya Farokhnezhad Afshar ◽  
Elisabeth H. Wiig ◽  
Seyed Kazem Malakouti ◽  
Behnam Shariati ◽  
Sara Nejati

Abstract Background Cognitive disorders are one of the important issues in old age. There are many cognitive tests, but some variables affect their results (e.g., age and education). This study aimed to evaluate the reliability and validity of A Quick Test of Cognitive Speed (AQT) in screening for mild cognitive impairment (MCI) and dementia. Methods This is a psychometric properties study. 115 older adults participated in the study and were divided into three groups (46 with MCI, 24 with dementia, and 45 control) based on the diagnosis of two geriatric psychiatrists. Participants were assessed by AQT and Mini-Mental State Examination (MMSE). Data were analyzed using Pearson correlation, independent t-test, and ROC curve by SPSS v.23. Results There was no significant correlation between AQT subscales and age and no significant difference between the AQT subscales in sex, educational levels. The test-retest correlations ranges were 0.84 from 097. Concurrent validity was significant between MMSE and AQT. Its correlation was with Color − 0.78, Form − 0.71, and Color-Form − 0.72. The cut-off point for Color was 43.50 s, Form 52 s, and Color-Form 89 s were based on sensitivity and specificity for differentiating older patients with MCI with controls. The cut-off point for Color was 62.50 s, for Form 111 s, and Color-Form 197.50 s based on sensitivity and specificity measures for differentiating older patients with dementia and MCI. Conclusion The findings showed that AQT is a suitable tool for screening cognitive function in older adults.

2020 ◽  
Author(s):  
Pouya Farokhnezhad Afshar ◽  
Elisabeth H. Wiig ◽  
Seyed Kazem Malakouti ◽  
Behnam Shariati

Abstract Background: Cognitive disorders are one of the most important issues in old age. They may remain hidden in the early stages. There are many cognitive tests, but some variables affect their results (e.g., age and education.) This study aimed to evaluate the reliability and validity of A Quick Test of Cognitive Speed (AQT) in Iranian older adults.Methods: This study aimed to test the psychometric properties of AQT. 114 older adults participated in the study and were divided into three groups (46 with mild cognitive impairments (MCI), 24 with dementia, and 45 without MCI and dementia) based on the diagnosis of two geriatric psychiatrists. Participants were assessed by AQT and Mini-Mental State Examination (MMSE). Data were analyzed using Pearson correlation, independent t-test, and ROC curve by SPSS v.23.Results: There was no significant correlation between AQT subscales and age and no significant difference between the AQT subscales in male and female, educational levels, and marital status. The test-retest correlations (r) were significant for Color (C) 0.84, Form (F) 0.91 and Color-Form (CF) 0.94. Convergent validity was significant between MMSE and AQT. Its correlation was with Color -0.78, Form -0.71, and Color-Form -0.72. The cut-off point for Color was 43.50 s, Form 52 s, and Color-Form 89 s were based on sensitivity and specificity for differentiating older patients with MCI with controls. The cut-off point for Color was 62.50 s, for Form 111 s, and Color-Form 197.50 s based on sensitivity and specificity measures for differentiating older patients with dementia and MCI.Conclusion: The findings of this study showed that A Quick Test of Cognitive Speed (AQT) is a suitable tool for assessing cognitive function in older adults.


2016 ◽  
Vol 12 ◽  
pp. P426-P427 ◽  
Author(s):  
Elise G. Valdes ◽  
Ross Andel ◽  
Jennifer J. Lister ◽  
Alyssa A. Gamaldo ◽  
Aryn L. Harrison Bush ◽  
...  

2017 ◽  
Vol 31 (4) ◽  
pp. 595-610 ◽  
Author(s):  
Elise G. Valdés ◽  
Ross Andel ◽  
Jennifer J. Lister ◽  
Alyssa Gamaldo ◽  
Jerri D. Edwards

Objective: The aim of these secondary analyses was to examine cognitive speed of processing training (SPT) gains in cognitive and everyday functioning among older adults with psychometrically defined mild cognitive impairment (MCI). Method: A subgroup of participants from the Staying Keen in Later Life (SKILL) study with psychometrically defined MCI ( N = 49) were randomized to either the SPT intervention or an active control group of cognitive stimulation. Outcome measures included the Useful Field of View (UFOV), Road Sign Test, and Timed Instrumental Activities of Daily Living (IADL) Test. A 2 × 2 repeated-measures MANOVA revealed an overall effect of training, indicated by a significant group (SPT vs. control) by time (baseline vs. posttest) interaction. Results: Effect sizes were large for improved UFOV, small for the Road Sign test, and medium for Timed IADL. Discussion: Results indicate that further investigation of cognitive intervention strategies to improve everyday functioning in patients with MCI is warranted.


10.2196/17332 ◽  
2020 ◽  
Vol 22 (12) ◽  
pp. e17332
Author(s):  
Joyce Y C Chan ◽  
Adrian Wong ◽  
Brian Yiu ◽  
Hazel Mok ◽  
Patti Lam ◽  
...  

Background A digital cognitive test can be a useful and quick tool for the screening of cognitive impairment. Previous studies have shown that the diagnostic performance of digital cognitive tests is comparable with that of conventional paper-and-pencil tests. However, the use of commercially available digital cognitive tests is not common in Hong Kong, which may be due to the high cost of the tests and the language barrier. Thus, we developed a brief and user-friendly digital cognitive test called the Electronic Cognitive Screen (EC-Screen) for the detection of mild cognitive impairment (MCI) and dementia of older adults. Objective The aim of this study was to evaluate the performance of the EC-Screen for the detection of MCI and dementia in older adults. Methods The EC-Screen is a brief digital cognitive test that has been adapted from the Rapid Cognitive Screen test. The EC-Screen uses a cloud-based platform and runs on a tablet. Participants with MCI, dementia, and cognitively healthy controls were recruited from research clinics and the community. The outcomes were the performance of the EC-Screen in distinguishing participants with MCI and dementia from controls, and in distinguishing participants with dementia from those with MCI and controls. The cohort was randomly split into derivation and validation cohorts based on the participants’ disease group. In the derivation cohort, the regression-derived score of the EC-Screen was calculated using binomial logistic regression. Two predictive models were produced. The first model was used to distinguish participants with MCI and dementia from controls, and the second model was used to distinguish participants with dementia from those with MCI and controls. Receiver operating characteristic curves were constructed and the areas under the curves (AUCs) were calculated. The performances of the two predictive models were tested using the validation cohorts. The relationship between the EC-Screen and paper-and-pencil Montreal Cognitive Assessment-Hong Kong version (HK-MoCA) was evaluated by the Pearson correlation coefficient. Results A total of 126 controls, 54 participants with MCI, and 63 participants with dementia were included in the study. In differentiating participants with MCI and dementia from controls, the AUC of the EC-Screen in the derivation and validation cohorts was 0.87 and 0.84, respectively. The optimal sensitivity and specificity in the derivation cohorts were 0.81 and 0.80, respectively. In differentiating participants with dementia from those with MCI and controls, the AUC of the derivation and validation cohorts was 0.90 and 0.88, respectively. The optimal sensitivity and specificity in the derivation cohort were 0.83 and 0.83, respectively. There was a significant correlation between the EC-Screen and HK-MoCA (r=–0.67, P<.001). Conclusions The EC-Screen is suggested to be a promising tool for the detection of MCI and dementia. This test can be self-administered or assisted by a nonprofessional staff or family member. Therefore, the EC-Screen can be a useful tool for case finding in primary health care and community settings.


2020 ◽  
Vol 50 (8) ◽  
pp. 1451-1467 ◽  
Author(s):  
Feng-Tzu Chen ◽  
Jennifer L. Etnier ◽  
Kuei-Hui Chan ◽  
Ping-Kun Chiu ◽  
Tsung-Ming Hung ◽  
...  

Abstract Background Chronic exercise training has been shown be to positively associated with executive function (EF) in older adults. However, whether the exercise training effect on EF is affected by moderators including the specific sub-domain of EF, exercise prescription variables, and sample characteristics remains unknown. Objectives This systematic and meta-analytic review of randomized controlled trials (RCTs) investigated the effects of exercise training on EF in older adults and explored potential moderators underlying the effects of exercise training on EF. Methods In accordance with the PRISMA guidelines, the electronic databases MEDLINE (PubMed) and EMBASE (Scopus) were searched from January 2003 to November 2019. All studies identified for inclusion were peer-reviewed and published in English. To be included, studies had to report findings from older (> 55 years old), cognitively normal adults or adults with mild cognitive impairment (MCI) randomized to an exercise training or a control group. The risk of bias in each study was appraised using the Cochrane risk-of-bias tool. Fixed-effects models were used to compare the effects of exercise training and control conditions on EF assessed at baseline and post-intervention. In addition, subgroup analyses were performed for three moderators (i.e., the specific sub-domain of EF, exercise prescription variables, and sample characteristics). Results Thirty-three RCTs were included. Overall, exercise training was associated with a significant small improvement in EF [Q(106) = 260.09, Hedges’ g = 0.21; p < 0.01]. The EF sub-domain moderator was not significant [Q(2) = 4.33, p > 0.05], showing that the EF improvement in response to exercise is evident for measures of inhibition, updating, and shifting. Regarding exercise prescription variables, results were significantly moderated by frequency of exercise training [Q(1) = 10.86, p < 0.05], revealing that effect sizes (ESs) were larger for moderate frequency (g = 0.31) as compared to low frequency exercise (g = 0.15). The results also showed type of exercise training moderated the ESs [Q(4) = 26.18, p < 0.05], revealing that ESs were largest for other forms of exercise (g = 0.44), followed by Tai Chi and yoga (g = 0.38), resistance exercise (g = 0.22), aerobic exercise (g = 0.14), and combined exercise (g = 0.10). In addition, The results showed moderated length of training the ESs [Q(2) = 16.64, p < 0.05], revealing that ESs were largest for short length (g = 0.32), followed by mid length (g = 0.26) and long length (g = 0.09). No significant difference in effects was observed as a function of exercise intensity [Q(1) = 2.87 p > 0.05] and session time [Q(2) = 0.21, p > 0.05]. Regarding sample characteristics, the results were significantly moderated by age [Q(2) = 20.64, p < 0.05], with significant benefits for young-old (55–65 years old) (g = 0.30) and mid-old (66–75 years old) (g = 0.25), but no effect on EF for old-old (more than 75 years old). The results were also significantly moderated by physical fitness levels [Q(1) = 10.80, p < 0.05], revealing that ESs were larger for sedentary participants (g = 0.33) as compared to physically fit participants (g = 0.16). In addition, results were also significantly moderated by cognitive status [Q(1) = 11.44, p < 0.05], revealing that ESs were larger for participants with cognitively normal (g = 0.26) as compared to those with mild cognitive impairment (g = 0.08). No significant differences in effects were observed as a function of sex [Q(2) = 5.38, p > 0.05]. Conclusions Exercise training showed a small beneficial effect on EF in older adults and the magnitude of the effect was different across some moderators.


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