Performance on the Montreal Cognitive Assessment (MoCA) in Older Adults Presenting for Bariatric Surgery

2018 ◽  
Vol 28 (9) ◽  
pp. 2700-2704 ◽  
Author(s):  
Samantha H. Mohun ◽  
Mary B. Spitznagel ◽  
John Gunstad ◽  
Amber Rochette ◽  
Leslie J. Heinberg
2021 ◽  
Vol 15 (9) ◽  
pp. 2272-2275
Author(s):  
Hafsah Arshad ◽  
Kinza Anwar ◽  
Hafsah Gul Khattak ◽  
Imran Amjad ◽  
Yaser Majeed

Aim: To determine effects of Kinect- based games on neurocognitive functions in older adults with mild cognitive impairment. Methodology: A quasi experimental pre-post trail was conducted on 18 mild cognitive impairment (MCI) older adults. The subjects were recruited to access cognitive impairment through purposive sampling technique. The inclusion criteria were elderly aged ≥ 50 years, both genders, able to read and write, whereas older adults with severe cognitive impairments, neurological disorders and un controlled comorbidities were excluded. Brain training was provided for 30 minutes with 5-minute warm-up time and 5-minute cool-down time for 6 weeks. Blind assessor measured readings at baseline and after six weeks. The outcome measures were Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MOCA), Trail making test A & B and verbal fluency test (Semantic &Phonemic). The data was analyzed at baseline and after six weeks of intervention Results: Significant improvements were observed in post-test measurements (p <0.05) in MMSE, MoCA, TMT A & B and verbal fluency (Semantic &Phonemic) tests after 6 weeks of treatment. Conclusion: Kinect-based virtual reality games are beneficial in improving cognitive abilities of older adults with mild cognitive impairment. Keywords: Cognitive training, Mild cognitive impairment, Montreal Cognitive Assessment


2019 ◽  
Vol 39 (10) ◽  
pp. 1115-1123 ◽  
Author(s):  
Ryan J. Walsh ◽  
Jenica Lee ◽  
Ruxandra M. Drasga ◽  
Caniece S. Leggett ◽  
Holly M. Shapnick ◽  
...  

Background: Older adults manage increasing numbers of everyday technologies to participate in home and community activities. Purpose: We investigated how assessing use of everyday technologies enhanced predictions of overall needed assistance among urban older adults. Method: We used a cross-sectional design to analyze responses from 114 participants completing the Everyday Technology Use Questionnaire, the Montreal Cognitive Assessment, and a sociodemographic questionnaire. We estimated overall needed assistance based on definitions in the Assessment of Motor and Process Skills. We created logistic regression models and receiver operator characteristic curves to analyze variables predicting overall needed assistance. Findings: With high specificity and sensitivity, the Everyday Technology Use Questionnaire and the Montreal Cognitive Assessment were the strongest predictors of overall needed assistance. Implications: Assessing everyday technology use enhanced predictions of overall needed assistance among urban older adults.


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