Literature DB >> 31368165

Online engagement and cognitive function among older adults.

Reza Amini1, Kyong Hee Chee2, Maximiliano Mendieta1, Shan Parker1.   

Abstract

AIM: Social engagement is known to serve an important role in cognitive health, but there has been limited information on the role of online engagement. The present study aimed to identify the benefits of different online activities for the cognitive function of older adults.
METHODS: Data came from the National Health and Aging Trend Study, Round I-V (2011-2015), with >8000 respondents from Medicare beneficiaries. Cognitive function was measured by the Clock Drawing Test and immediate 10-word recall. The respondents were also asked if they carried out any of the online activities listed.
RESULTS: Some online activities, such as email, texting and seeking medical information, can reduce the risk of cognitive decline. Whereas contacting a medical provider using online can increase the risk of cognitive decline.
CONCLUSIONS: Given the findings, the development of new technologies for online social engagement needs to be one of the priorities for researchers and policymakers in the field of aging and dementia. Geriatr Gerontol Int 2019; 19: 918-923.
© 2019 Japan Geriatrics Society.

Entities:  

Keywords:  cognitive function; dependency; loneliness; social engagement; social network

Mesh:

Year:  2019        PMID: 31368165     DOI: 10.1111/ggi.13749

Source DB:  PubMed          Journal:  Geriatr Gerontol Int        ISSN: 1447-0594            Impact factor:   2.730


  2 in total

1.  Prospective pragmatic quasi-experimental study to assess the impact and effectiveness of an innovative large-scale public health intervention to foster healthy ageing in place: the SoBeezy program protocol.

Authors:  Karine Pérès; Alfonso Zamudio-Rodriguez; Jean-Francois Dartigues; Hélène Amieva; Stephane Lafitte
Journal:  BMJ Open       Date:  2021-04-29       Impact factor: 2.692

2.  Internet-Based Medical Service Use and Eudaimonic Well-Being of Urban Older Adults: A Peer Support and Technology Acceptance Model.

Authors:  Wenjia Li; Shengwei Shen; Jidong Yang; Qinghe Tang
Journal:  Int J Environ Res Public Health       Date:  2021-11-17       Impact factor: 3.390

  2 in total

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