Associations Between Mobile Health Technology use and Self-rated Quality of Life: A Cross-sectional Study on Older Adults with Cognitive Impairment

Other authors

[Christiansen L, Sanmartin Berglund J] Blekinge Institute of Technology, Karlskrona, Sweden. [Anderberg P] Blekinge Institute of Technology, Karlskrona, Sweden. University of Skövde, Sweden. [Cellek S, Zhang J] Anglia Ruskin University, Bishop Hall Lane, Chelmsford, UK. [Lemmens E] University Colleges Leuven-Limburg, Genk, Belgium. [Garolera M] Servei de Psiquiatria, Hospital de Terrassa, Consorci Sanitari de Terrassa, Terrassa, Spain

Consorci Sanitari de Terrassa

Publication date

2023-09-26T11:31:43Z

2023-09-26T11:31:43Z

2021-05-25



Abstract

Aging; Cognitive dysfunction; Geriatrics


Envejecimiento; Disfunción cognitiva; Geriatría


Envelliment; Disfunció cognitiva; Geriatria


Background: Quality of life (QoL) is affected even at early stages in older adults with cognitive impairment. The use of mobile health (mHealth) technology can offer support in daily life and improve the physical and mental health of older adults. However, a clarification of how mHealth technology can be used to support the QoL of older adults with cognitive impairment is needed. Objective: To investigate factors affecting mHealth technology use in relation to self-rated QoL among older adults with cognitive impairment. Methods: A cross-sectional research design was used to analyse mHealth technology use and QoL in 1,082 older participants. Baseline data were used from a multi-centered randomized controlled trial including QoL, measured by the Quality of Life in Alzheimer's Disease (QoL-AD) Scale, as the outcome variable. Data were analyzed using logistic regression models. Results: Having moderately or high technical skills in using mHealth technology and using the internet via mHealth technology on a daily or weekly basis was associated with good to excellent QoL in older adults with cognitive impairment. Conclusions: The variation in technical skills and internet use among the participants can be interpreted as an obstacle for mHealth technology to support QoL.


The author(s) disclosed receipt of the following financial sup port for the research, authorship, and/or publication of this article: This work was supported by Blekinge Institute of Technology and the Support, Monitoring and Reminder Technology for Mild Dementia (SMART4MD) project, which is financially supported by the European Commission Horizon 2020 Research and Innovation Programme [Grant No. 643399].

Document Type

Article


Published version

Language

English

Publisher

SAGE Publications

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Rights

Attribution 4.0 International

http://creativecommons.org/licenses/by/4.0/

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