A - 02 Performance and Usage of a Remote App-Based Cognitive Assessment among Older Adults with a Range of Technology Experience
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The mobile cognitive app performance platform (mCAPP), an app-based cognitive assessment, includes memory and executive functioning tasks to remotely detect cognitive changes associated with aging and preclinical Alzheimer's disease. This study examines the relationship between prior experience and comfort with mobile technology and subjective experiences with mCAPP.60 older adults (73% female; age = 74 ± 4.8; education = 17 ± 2.4 years; 48% Black/African American) with normal cognition enrolled in the Penn Alzheimer's Disease Research Center cohort completed one baseline session and two weeks of at-home mCAPP use. This study included measures of prior experience with mobile technology and games, at-home mCAPP performance and usage levels, and feedback on mCAPP usability.62% of participants reported using mobile devices to play games ("game-players"), and they did not differ from non-users in age or global cognitive status. Game-players self-reported significantly higher proficiency with specific mobile technology features (p = 0.028), but not perceived independence or confidence with technology. mCAPP performance differences were present at baseline but not by the 8th at-home session. Usability and enjoyment of mCAPP were high and increased for both groups. Non-players reported lower likelihood to play mCAPP games at baseline (p < 0.05), but in practice increased play frequency throughout at-home use and reported higher likelihood to play mCAPP games afterwards (p ≤ 0.001).Participants with varying mobile game experience-levels were willing and able to use mCAPP at-home. Both groups found mCAPP easy and enjoyable to use, and non-players particularly showed increased adoption of mCAPP. This pilot study shows preliminary feasibility of mobile app-based assessment regardless of prior experience with mobile games.Keywords:
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With the introduction of the World Wide Web, electronic commerce has revolutionized traditional commerce and boosted sales and exchanges of merchandise and information. Recently, the emergence of wireless and mobile networks has made possible the extension of electronic commerce to a new application and research area: mobile commerce (MC), which is defined as the exchange or buying and selling of commodities, services, or information on the Internet through the use of mobile handheld devices. In just a few years, mobile commerce has emerged from nowhere to become the hottest new trend in business transactions. Despite a weak economy, the future of mobile commerce is bright according to the latest predictions (Juniper Research Ltd., 2004). Internet-enabled mobile handheld devices are one of the core components of a mobile commerce system, making it possible for mobile users to directly interact with mobile commerce applications. Much of a mobile user’s first impression of the application will be formed by his or her interaction with the device, therefore the success of mobile commerce applications is greatly dependent on how easy they are to use. This article first explains the role of handheld devices in mobile commerce systems and then discusses the devices in detail. A mobile handheld device includes six major components: (a) a mobile operating system (OS), (b) a mobile central processor unit (CPU), (c) a microbrowser, (d) input and output (I/O) devices, (e) memory, and (f) batteries. Each component is described, and technologies for the components are given.
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With the introduction of the World Wide Web, electronic commerce has revolutionized traditional commerce and boosted sales and exchanges of merchandise and information. Recently, the emergence of wireless and mobile networks has made possible the extension of electronic commerce to a new application and research area: mobile commerce (MC), which is defined as the exchange or buying and selling of commodities, services, or information on the Internet through the use of mobile handheld devices. In just a few years, mobile commerce has emerged from nowhere to become the hottest new trend in business transactions. Despite a weak economy, the future of mobile commerce is bright according to the latest predictions (Juniper Research Ltd., 2004). Internet-enabled mobile handheld devices are one of the core components of a mobile commerce system, making it possible for mobile users to directly interact with mobile commerce applications. Much of a mobile user’s first impression of the application will be formed by his or her interaction with the device, therefore the success of mobile commerce applications is greatly dependent on how easy they are to use. This article first explains the role of handheld devices in mobile commerce systems and then discusses the devices in detail. A mobile handheld device includes six major components: (a) a mobile operating system (OS), (b) a mobile central processor unit (CPU), (c) a microbrowser, (d) input and output (I/O) devices, (e) memory, and (f) batteries. Each component is described, and technologies for the components are given.
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Using Italian data on standardized test scores, we show that the substantial heterogeneity in how performance changes with the position of questions can alter the rank of individuals and classes as the length of the test increases. We examine whether decomposing test scores into initial performance and performance decline allows to separate the influence of cognitive and non-cognitive skills and find that our measure of cognitive skills – the math grade before the test – not only has a dominant influence on initial performance but also affects substantially performance decline.
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Stroop effect
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Abstract Background Previous research has demonstrated a link between affect and cognitive functioning, particularly showing that negative affect is related to lower cognitive performance across several cognitive domains. However, the relationship between positive affect (PA) and cognitive functioning is not as thoroughly characterized, though some previous work suggests that PA may be related to improved memory consolidation and greater cognitive flexibility. There is little research, if any, on the relation between PA and cognition in older adults from diverse racial backgrounds, who are also at greater risk for Alzheimer’s disease. PA may be a modifiable factor and target for intervention to deter cognitive decline. Therefore, we investigated whether PA was related to cognitive functioning in a sample of community‐dwelling, older African American adults. We predicted that greater PA would be associated with greater global cognitive functioning, immediate memory recall, and delayed memory recall while controlling for age. Method Telephone screenings were administered to 194 older African Americans (aged 64‐94 years). Global cognitive functioning, immediate recall, and delayed recall were measured via the Telephone Interview for Cognitive Status‐Modified (TICSm). Immediate and delayed recall scores were excluded from global cognitive functioning scores to reduce conceptual overlap. PA was measured with a questionnaire of emotional functioning. We used hierarchical linear regression to determine whether PA was positively associated with cognitive functioning while controlling for age. Result Higher PA was predictive of greater global cognitive functioning, after accounting for the effect of age ( F (2,191) = 15.70, p <.001; ΔR 2 = .05, b = 0.68, SE = 0.21, p = .002). Similarly, higher PA was predictive of greater immediate recall ( F (2,191) = 14.10, p <.001; ΔR 2 = .03, b = 0.45, SE = 0.19, p = .019) and delayed recall ( F (2,191) = 7.44, p <.001; ΔR 2 = .02, b = 0.48, SE = 0.23, p = .035). Conclusion In support of our hypothesis, we have demonstrated that greater PA is associated with greater global cognitive functioning, immediate memory recall, and delayed memory recall among older African American adults. Past studies report some relationships between PA and cognition, though little, if any, work has been done with aging adults from diverse racial backgrounds. Understanding how PA relates to cognition in late life is crucial because it may be a modifiable protective factor and a target for intervention.
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Abstract Objectives We aimed to explore the relationship between objective cognitive functioning and work performance among Japanese workers. Methods From February to November 2019, this cross-sectional study enrolled workers aged 18–65 years from 10 companies located in a metropolitan area of Japan. We emailed invitations to participate to employees of companies that had agreed to cooperate with the study. We measured work performance with the question, “How would you rate your performance (compared with your optimum performance) over the past 4 weeks?” Responses were made via a visual analog scale (range: 0–100). Cognitive functioning was assessed using the THINC-integrated tool (THINC-it®). THINC-it® is a brief, objective computerized cognitive assessment battery. Associations between work performance and cognitive functioning tests were examined using logistic regression analysis. Results In total, 353 individuals provided e-consent to participate, of whom 276 were included in the analysis (after omitting those with missing values). The median work performance was used to divide participants into high- (scoring ≥ 80%) and low- (scoring < 80%) performing groups. The P-values for trends indicated that association between cognitive domains, such as attention, executive functioning and working memory was significant (P < .05). Work performance was significantly associated with cognitive function for the two tests that assess attention, executive functioning, and working memory in general workers. Conclusions Our results suggest that objective cognitive functioning may be related to work performance. Longitudinal investigations may allow for the establishment of causality.
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Background Cognitive performance has been associated with mental and physical health, but it is unknown whether the strength of these associations changes with ageing and with age-related social transitions, such as retirement. We examined whether cognitive performance predicted mental and physical health from midlife to early old age. Method Participants were 5414 men and 2278 women from the Whitehall II cohort study followed for 15 years between 1991 and 2006. The age range included over the follow-up was from 40 to 75 years. Mental health and physical functioning were measured six times using SF-36 subscales. Cognitive performance was assessed three times using five cognitive tests assessing verbal and numerical reasoning, verbal memory, and phonemic and semantic fluency. Socio-economic status (SES) and retirement were included as covariates. Results High cognitive performance was associated with better mental health and physical functioning. Mental health differences associated with cognitive performance widened with age from 39 to 76 years of age, whereas physical functioning differences widened only between 39 and 60 years and not after 60 years of age. SES explained part of the widening differences in mental health and physical functioning before age 60. Cognitive performance was more strongly associated with mental health in retired than non-retired participants, which contributed to the widening differences after 60 years of age. Conclusions The strength of cognitive performance in predicting mental and physical health may increase from midlife to early old age, and these changes may be related to SES and age-related transitions, such as retirement.
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The aim of this study was to examine the association between physical functioning and cardiovascular burden on the cognitive performance of community-dwelling older adults. Ninety-three adults aged 60 and older completed a medical evaluation by a geriatrician, performance-based physical tests, and neuropsychological assessments. Cognitive composite scores (memory, speed, and executive) as well as a physical functioning score were created by averaging standardized z-scores of selected tests. A cardiovascular burden index was also computed by totalling the number of cardiovascular risk factors and diseases. Multiple hierarchical regression analyses reveal that higher level of physical functioning was significantly associated with greater processing speed and better executive functions but was not associated with memory performance. These relations were independent of age, sex, and level of education. Cardiovascular burden was not significantly associated with any cognitive domain. These results suggest that cognition is related to simple performance-based physical tests and highlight the importance of intervention studies aimed at enhancing cognitive and physical functioning in older adults.
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The emergence of wireless and mobile networks has made possible the introduction of electronic commerce to a new application and research area: mobile commerce. Internet-enabled mobile handheld devices are one of the core components of a mobile commerce system, making it possible for mobile users to directly interact with mobile commerce applications. Much of a mobile user’s first impression of the application will be formed by his or her interaction with the device, therefore the success of mobile commerce applications is greatly dependent on how easy they are to use. This article first explains the role of handheld devices in mobile commerce systems and then discusses the devices in detail. A mobile handheld device includes six major components: i) a mobile operating system, ii) a mobile central processor unit, iii) a microbrowser, iv) input/output devices, v) a memory, and vi) batteries. Each component is described in detail and major products and technologies for the component are given. The technology needed for synchronization with desktop PCs and various mobile commerce applications is also presented.
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With many nutraceutical interventions designed to slow cognitive aging, there is a need for computerised tests that can detect small cognitive changes that may occur in response to these interventions. A battery of 13 computerised cognitive tasks was developed to capture the range of cognitive functions that decline with age. One hundred and twenty adults aged 21 to 86 years, with a MMSE score >27 completed the test battery. Accuracy and response time were measured. Regression analysis revealed age-related decrements in cognitive performance for all tasks. Performance accuracy for the Spatial Working Memory task and speed of response for Spatial Working Memory, Contextual Memory and Immediate Recognition tasks showed the greatest age-related decline. The tasks showed good test-retest reliability and correlated with other commonly used neuropsychological tests in aging research. With the sensitivity of this cognitive test battery to aging, it may be useful in future studies investigating cognitive improvements in response to nutraceutical interventions in older adults.
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