ArticleInternational journal of environmental research and public health2021
Estimation of Lifetime QALYs Based on Lifestyle Behaviors.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- 'It's a Balancing Act': A Qualitative Analysis of the Experiences of Caffeine Use in Individuals With Bipolar Disorder.Bipolar disorders · 2026Article
- Effects of 12-month combined aerobic and resistance training on physical fitness, cardiometabolic health and quality of life in middle-aged adults with overweight/obesity at high risk of metabolic syndrome in Poland.Preventive medicine reports · 2026Article
- Health-related quality of life in patients with alcohol use disorder: comparing instruments and mapping from clinical measures to preference-based measures.The European journal of health economics : HEPAC : health economics in prevention and care · 2026Article
- Cost-Effectiveness Analysis of Annual vs Biennial Fecal Immunochemical Testing for Colorectal Cancer Screening in Japan: A Microsimulation Analysis.Journal of health economics and outcomes research · 2026Article
- Associations between Lifestyle and Sociodemographic Factors in Medical Students: A Cross Sectional Study.Journal of lifestyle medicine · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
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Abstract
Various lifestyle behaviors have been known to affect health-related quality of life (HRQL) and life expectancy. However, the impact on quality-adjusted life years (QALYs), which can be used for health economics, has not been clarified. The purpose of this study was to estimate the impact of lifestyle behaviors on lifetime QALYs. We first examined the relationship between lifestyle behaviors and HRQL as measured by the EQ-5D-5L among 4000 participants via a web-based survey. The results of multiple regression analysis showed that physical activity and sleep were significantly related to HRQL. Therefore, we used microsimulation to estimate QALYs from physical activity and sleep, which were determined to be significant in the regression analysis. The results showed that there was a difference of 3.6 QALYs between the recommended lifestyle scenario (23.4 QALYs; 95%CI 3.6 to 35.1) and the non-recommended lifestyle scenario (19.8 QALYs; 95%CI 3.1 to 31.6). This difference was greater in the younger age group than in the older age group. The results also indicated a large difference in QALYs between physical activity and sleep. These findings may provide a significant suggestion for future health promotion measures.
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Registered trials
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