Abstract
AbstractAn essential objective of preventive healthcare is to assess the lifestyle of citizens and identify those with health risk behaviors long time before they develop a lifestyle-related disease. In spite of lasting attempts to support preventive healthcare services in reaching individuals at risk through information campaigns, systematic health check programs, and more recently, data-driven approaches, citizens remain at a distance to the preventive healthcare services. The purpose of this chapter is to investigate the reasons for this distance between citizens and preventive care offers and the potential of quantified-self technologies for decreasing this. The analysis shows that while data-driven approaches to lifestyle assessment do assist preventive care services in screening a large population, they do not solve the fundamental challenge; that citizens are often challenged in relating to the risk assessment and in the consequences of their current behaviors on a long timescale. Based on these findings, two design implications are elicited to guide design of systems based on quantified-self to support early assessment and improvement of potentially unhealthy lifestyle, potentially improving health and quality of life in the long term.
Publisher
Springer International Publishing
Reference44 articles.
1. Booth FW, Roberts CK, Layne MJ. Lack of exercise is a major cause of chronic diseases. Compr Physiol. 2014;2(2):1143–211.
2. Knight JA. Physical inactivity: associated diseases and disorders. Ann Clin Lab Sci. 2012;42(3):320–37.
3. Glümer C, Hilding-Nørkjær H, Jensen H, et al. Sundhedsprofil for region og kommuner 2008. Glostrup: Region Hovedstaden; 2008.
4. Juel K, Sørensen J, Brønnum-Hansen H. Supplement: risk factors and public health in Denmark. Scand J Public Health. 2008;136(Suppl 1):11–227.
5. WHO Working Group. The World Health Organization quality of life assessment (WHOQOL): development and general psychometric properties. Soc Sci Med. 1998;46(12):1569–85.
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