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Wang, Kun,
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Information and Communication Technology Use among Older Adults: An Investigation of Underlying Mechanisms of Connections to Cognitive Function /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Information and Communication Technology Use among Older Adults: An Investigation of Underlying Mechanisms of Connections to Cognitive Function // Kun Wang.
Author:
Wang, Kun,
Description:
1 electronic resource (113 pages)
Notes:
Source: Dissertations Abstracts International, Volume: 84-04, Section: B.
Contained By:
Dissertations Abstracts International84-04B.
Subject:
Social work. -
Online resource:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29212695
ISBN:
9798351437927
Information and Communication Technology Use among Older Adults: An Investigation of Underlying Mechanisms of Connections to Cognitive Function /
Wang, Kun,
Information and Communication Technology Use among Older Adults: An Investigation of Underlying Mechanisms of Connections to Cognitive Function /
Kun Wang. - 1 electronic resource (113 pages)
Source: Dissertations Abstracts International, Volume: 84-04, Section: B.
With the fast pace of population aging, an estimated 6.07 million older adults were living with Alzheimer's dementia in the United States in 2020. Older adults with dementia are more likely to have difficulties in activities of daily living and instrumental activities of daily living, higher fall risks, and higher mortality rates, severely impairing their quality of life and wellbeing. Despite no effective treatments so far, information and communication technology (ICT) use has shown potential in reserving older adults' cognitive function. However, the mechanisms regarding the associations are still unclear. Therefore, this study aims to investigate the possible mechanisms and examine whether the mechanisms differ by age and gender. A sample of 1,509 participants aged 65 and older was extracted from the Health and Retirement Study, specifically the biennial surveys in 2012 and 2016 and the 2013 Internet Survey. Sequential path analyses were applied to test the proposed mediation models, and multi-group sequential path analyses were conducted to test the age and gender group differences. Results showed that cognitive benefits of ICT use were mainly through the direct effect among total participants and in age or gender subgroups. Two significant indirect paths were identified among total participants through the increased self-efficacy or decreased depression. The by-age group analyses showed that the path through increased self-efficacy was significant in the older group; in the younger group, the path through reduced depression was significant. The direct effects were not significantly different by age group. The by-gender group analyses revealed no significant indirect paths for men or women, whereas the direct effect of ICT use for women was significantly larger than the effect for men. This study brings in-depth insights into the mechanisms underlying the associations between ICT use and cognitive function among older adults and highlights the age and gender differences in the mechanisms. Future ICT-based cognitive interventions should be focused more on the direct stimulative effect of ICT and be more tailored to participants of different ages and gender. Accordingly, federal- and state-level efforts are needed to reduce financial, Internet service, and knowledge barriers and increase older adults' ICT access/use.
English
ISBN: 9798351437927Subjects--Topical Terms:
644197
Social work.
Subjects--Index Terms:
Connections
Information and Communication Technology Use among Older Adults: An Investigation of Underlying Mechanisms of Connections to Cognitive Function /
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With the fast pace of population aging, an estimated 6.07 million older adults were living with Alzheimer's dementia in the United States in 2020. Older adults with dementia are more likely to have difficulties in activities of daily living and instrumental activities of daily living, higher fall risks, and higher mortality rates, severely impairing their quality of life and wellbeing. Despite no effective treatments so far, information and communication technology (ICT) use has shown potential in reserving older adults' cognitive function. However, the mechanisms regarding the associations are still unclear. Therefore, this study aims to investigate the possible mechanisms and examine whether the mechanisms differ by age and gender. A sample of 1,509 participants aged 65 and older was extracted from the Health and Retirement Study, specifically the biennial surveys in 2012 and 2016 and the 2013 Internet Survey. Sequential path analyses were applied to test the proposed mediation models, and multi-group sequential path analyses were conducted to test the age and gender group differences. Results showed that cognitive benefits of ICT use were mainly through the direct effect among total participants and in age or gender subgroups. Two significant indirect paths were identified among total participants through the increased self-efficacy or decreased depression. The by-age group analyses showed that the path through increased self-efficacy was significant in the older group; in the younger group, the path through reduced depression was significant. The direct effects were not significantly different by age group. The by-gender group analyses revealed no significant indirect paths for men or women, whereas the direct effect of ICT use for women was significantly larger than the effect for men. This study brings in-depth insights into the mechanisms underlying the associations between ICT use and cognitive function among older adults and highlights the age and gender differences in the mechanisms. Future ICT-based cognitive interventions should be focused more on the direct stimulative effect of ICT and be more tailored to participants of different ages and gender. Accordingly, federal- and state-level efforts are needed to reduce financial, Internet service, and knowledge barriers and increase older adults' ICT access/use.
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https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29212695
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