Estimation of Lifetime Qalys Based on Lifestyle Behaviors
Bibliographic Data
| ID | 15477358 |
|---|---|
| Authors | Shinichi Noto (0000-0002-6952-7770, Niigata University of Health and Welfare, corresponding author), Shota Saito (0000-0002-4463-6073, Niigata University), Takeru Shiroiwa (0000-0003-3055-9932, National Institute of Public Health), Takashi Fukuda (0000-0002-4601-0955, National Institute of Public Health) |
| Year | 2021 |
| Volume | 18 |
| Issue | 19 |
| Pages | 9970-9970 |
| Publication date | 2021-09-22 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph18199970 |
| PMID | 34639271 |
| OpenAlex | W3199141889 |
| Language | EN |
| References cited | 25 |
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
Cost effectiveness · Environmental health · Life expectancy · Microsimulation · Physical activity · Physical therapy · Population · Quality of life (healthcare · Quality-adjusted life year · Demography · Global Health Care Issues · Health disparities and outcomes · Health Systems, Economic Evaluations, Quality of Life · Medicine · Gerontology
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Association of smoking status and health-related quality of life
Japanese population norms for preference-based measures
Effect of changes in moderate or vigorous physical activity on changes in health-related quality of life of elderly British women over seven years
Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L)
Estimating EQ-5D utility values for major health behavioural risk factors in England
| Highly cited | No |
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