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

• Published in: Gerontology and geriatric medicine Vol. 7; p. 23337214211018924
• Main Authors: Christiansen, Line, Sanmartin Berglund, Johan, Anderberg, Peter, Cellek, Selim, Zhang, Jufen, Lemmens, Evi, Garolera, Maite, Mayoral-Cleries, Fermin, Skär, Lisa
• Format: Journal Article
• Language: English
• Published: Los Angeles, CA SAGE Publications 2021; Sage Publications Ltd; SAGE Publishing
• Subjects: aging; Alzheimer's disease; Cognitive ability; cognitive impairment; Cross-sectional studies; gerontechnology; mobile health; Older people; Quality of life; Telemedicine; cognitive impairment; aging; gerontechnology; mobile health; quality of life
• ISSN: 2333-7214; 2333-7214
• DOI: 10.1177/23337214211018924

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.