scholarly journals Cognitive Function and Digital Device Use in Older Adults Attending a Memory Clinic

2019 ◽  
Vol 5 ◽  
pp. 233372141984488 ◽  
Author(s):  
Ya-Huei Wu ◽  
Manon Lewis ◽  
Anne-Sophie Rigaud

This study investigated cognitive function in relation to the use of a computer and a touchscreen device among older adults attending a memory clinic. The entire sample ( n = 323) was categorized into four profiles, according to the frequency of digital device use (either daily or non-daily usage). Results showed that on a daily basis, 26% of the sample used both a computer and a touchscreen device, 26.9% used only a computer, 7.1% used only a touchscreen device, and 39.9% used neither type of digital device. There were significant group differences on age, education, and clinical diagnosis ( p < .001). Non-daily users of digital devices had significantly lower performance, compared with daily users of both types of digital device, on measures of global cognitive function, processing speed, short-term memory, and several components of executive function ( p < .001). Falling behind with regard to the use of digital devices might reflect underlying poor cognitive capacities.

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 703-703
Author(s):  
Jessica Finlay ◽  
Philippa Clarke ◽  
Lisa Barnes

Abstract Does the world shrink as we age? The neighborhood captures a spatial area someone inhabits and moves through on a daily basis. It reflects a balance between internal perceptions and abilities, and the external environment which may enable or restrict participation in everyday life. We frequently hear that older adults have shrinking neighborhoods given declining functional mobility. This is associated with declines in physical and cognitive functioning, depression, poorer quality of life, and mortality. Knowledge of the interplay between objective and subjective neighborhood measurement remains limited. This symposium will explore these linked yet distinct constructs based on secondary data analyses of the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study, a racially diverse sample of 30,000+ aging Americans. Finlay investigates how someone’s perceived neighborhood size (in number of blocks) varies by individual and geographic characteristics including age, cognitive function, self-rated health, and urban/rural context. Esposito’s analyses focus on neighborhood size in relation to race and residential segregation. Clarke compares subjective perceptions of neighborhood parks and safety from crime to objective indicators, and examines variations by health and cognitive status. Barnes will critically consider implications for how older adults interpret and engage with their surrounding environments. The symposium questions the validity of neighborhood-based metrics to reflect the perspectives and experiences of older residents, particularly those navigating cognitive decline. It informs policy-making efforts to improve physical neighborhood environments and social community contexts, which are critical to the health and well-being of older adults aging in place.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 598-598
Author(s):  
Ruixue Zhaoyang ◽  
Stacey Scott ◽  
Eric Cerino ◽  
Martin Sliwinski

Abstract Social relationships play an important role in cognitive health and aging. However, it is unclear how older adult’s cognitive function affects their everyday social interactions, especially for those with mild cognitive impairment (MCI). This study examined whether older adults with intact cognition vs. MCI differed in their daily social interactions. Community-dwelling older adults from the Einstein Aging Study (N=244, 70-91 yrs) reported their social interactions five times daily for 14 consecutive days using smartphones. Compared to those with normal cognitive function, older adults with MCI reported less frequent positive social interactions (p=0.012) and in-person social activities (p=0.006) on a daily basis. These two groups, however, did not show significant differences in their social relationships assessed by a conventional global questionnaire. The results support that, relative to global social relationships, daily social interactions are more sensitive, ecologically valid social markers that can facilitate the early detection of MCI.


2022 ◽  
Vol 30 (5) ◽  
pp. 0-0

The focus of most of the existing studies on technostress is with regard to working professionals. In spite of the explosion of digital device use in education, not many studies have identified its effects on students. This study examines the presence of technostress among management students aged 22-29 years. Using a sample of 300+ students of a management college of India, this study validates the technostress instrument. With the pandemic, education has seen a paradigm shift. Sessions including classes, interactions, discussions, team projects, assignments, examinations, have gone online and this has ushered the compulsion of spending more time with technology and digital devices (laptops, mobile phones, desktop etc). It examines the effect of technostress on academic productivity of students. The study further explores the students’ expectations from the college to control their technostress, thereby indicating the need of enhancing e-engagement through persuasive communication.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Lu Lin ◽  
Xiu-Chen Jing ◽  
Shu-Jiao Lv ◽  
Jing-Hong Liang ◽  
Li Tian ◽  
...  

2020 ◽  
Author(s):  
Lu Lin ◽  
Xiuchen Jing ◽  
Shujiao Lv ◽  
Jinghong Liang ◽  
Li Tian ◽  
...  

Abstract Background With the fast-paced aging and increasing digitalization of society, there has been a growing interest in the effect of mobile device use on cognitive function and depression in older adults. However, research examining this issue among older adults in residential care homes (RCHs) is scant. Therefore, this study aimed to examine the impact of mobile device use on the cognitive function and depressive symptoms of older adults living in RCHs. Methods A cross-sectional survey was conducted using a sociodemographic questionnaire, the Montreal Cognitive Assessment (MoCA) and the 15-item Geriatric Depression Scale (GDS-15). Results A total of 235 senior residents (aged 82.58 ± 5.54) in four RCHs were surveyed. Users of mobile devices had a significantly higher total MoCA score (25.02 ± 4.14) and a significantly lower GDS-15 score (3.28±2.74) than non-users (MoCA: 19.34 ± 5.21, GDS-15: 4.69±2.90). Multivariate linear regression indicate that mobile device use is significantly associated with total MoCA score, six of the seven sub-scores (visuospatial abilities and execution functions, attention, language, abstraction, delayed recall, and orientation)(P<0.05). Logistic regression showed that mobile device use was significantly associated with the level of depressive symptoms (OR=0.458, 95%CI=0.249-0.845). Conclusions Use of mobile devices has a significant association with the cognitive function and depressive symptoms of older adults living in RCHs, and thus should be encouraged as a measure to maintain and improve cognition and prevent depression.


2019 ◽  
Author(s):  
Lu Lin ◽  
Xiuchen Jing ◽  
Shujiao Lv ◽  
Jinghong Liang ◽  
Li Tian ◽  
...  

Abstract Background With the fast-paced aging and increasing digitalization of society, there has been a growing interest in the effect of mobile device use on cognitive function and depression in older adults. However, research examining this issue among older adults in residential care homes (RCHs) is scant. Therefore, this study aimed to examine the impact of mobile device use on the cognitive function and depressive symptoms of older adults living in RCHs.Methods A cross-sectional survey was conducted using a sociodemographic questionnaire, the Montreal Cognitive Assessment (MoCA) and the 15-item Geriatric Depression Scale (GDS-15).Results A total of 235 senior residents (aged 82.58 ± 5.54) in four RCHs were surveyed. Users of mobile devices had a significantly higher total MoCA score (25.02 ± 4.14) and a significantly lower GDS-15 score (3.28±2.74) than non-users (MoCA: 19.34 ± 5.21, GDS-15: 4.69±2.90). Multivariate linear regression indicate that mobile device use is significantly associated with total MoCA score, six of the seven sub-scores (visuospatial abilities and execution functions, attention, language, abstraction, delayed recall, and orientation)(P<0.05). Logistic regression showed that mobile device use had a significant effect on the level of depressive symptoms (OR=0.458, 95%CI=0.249-0.845).Conclusions Use of mobile devices has a significant impact on the cognitive function and depressive symptoms of older adults living in RCHs, and thus should be encouraged as a measure to maintain and improve cognition and prevent depression.


2016 ◽  
Vol 8 (2) ◽  
pp. 47-68 ◽  
Author(s):  
Amy Jenkins ◽  
Parisa Eslambolchilar ◽  
Stephen Lindsay ◽  
Monika Hare ◽  
Ian M Thornton ◽  
...  

Errors in interaction with digital devices are typically blamed on human factors such as poor attention. However, the influence of attention upon the quality of human-device interaction is commonly overlooked in product design. Developers rely on feedback through user centred design, but do developers, typically younger adults, understand what an older user means, or experiences, in terms of “attention” and appreciate that fundamental conceptual and experiential differences may exist? The authors examine differences between older and younger adults' concepts of attention in relation to mobile-device use to inform future development. Two participant groups consisted of 11 younger adults (18-30 years) and 12 older adults (65+ years). Qualitative analyses revealed three themes ‘personal understanding of attention', ‘attention is dependent on...', and ‘impact of ageing'.


2020 ◽  
Author(s):  
Lu Lin ◽  
Xiuchen Jing ◽  
Shujiao Lv ◽  
Jinghong Liang ◽  
Li Tian ◽  
...  

Abstract Background With the fast-paced aging and increasing digitalization of society, there has been a growing interest in the effect of mobile device use on cognitive function and depression in older adults. However, research examining this issue among older adults in residential care homes (RCHs) is scant. Therefore, this study aimed to examine the impact of mobile device use on the cognitive function and depressive symptoms of older adults living in RCHs. Methods A cross-sectional survey was conducted using a sociodemographic questionnaire, the Montreal Cognitive Assessment (MoCA) and the 15-item Geriatric Depression Scale (GDS-15). Results A total of 235 senior residents (aged 82.58 ± 5.54) in four RCHs were surveyed. Users of mobile devices had a significantly higher total MoCA score (25.02 ± 4.14) and a significantly lower GDS-15 score (3.28±2.74) than non-users (MoCA: 19.34 ± 5.21, GDS-15: 4.69±2.90). Multivariate linear regression indicate that mobile device use is significantly associated with total MoCA score, six of the seven sub-scores (visuospatial abilities and execution functions, attention, language, abstraction, delayed recall, and orientation)(P<0.05). Logistic regression showed that mobile device use was significantly associated with the level of depressive symptoms (OR=0.458, 95%CI=0.249-0.845). Conclusions Use of mobile devices has a significant association with the cognitive function and depressive symptoms of older adults living in RCHs, and thus should be encouraged as a measure to maintain and improve cognition and prevent depression.


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