| Title: | Estimates of years of life lost depended on the method used: tutorial and comparative investigation |
| Journal: | Journal of Clinical Epidemiology |
| Published: | 24 Jun 2022 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/35760239/ |
| DOI: | https://doi.org/10.1016/j.jclinepi.2022.06.012 |
| URL: | http://www.jclinepi.com/article/S0895435622001639/pdf |
| Citations: | 10 (10 in last 2 years) as of 8 Aug 2024 |
Publication 12327
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
OBJECTIVES: This review aims to summarize key methods for estimating years of life lost (YLL), highlighting their differences and how they can be implemented in current software, and applies them in a real-world example.</p>
STUDY DESIGN AND SETTING: We investigated the common YLL methods: (1) Years of potential life lost (YPLL); (2) Global Burden of Disease (GBD) approach; (3) Life tables; (4) Poisson regression; and (5) Flexible parametric Royston-Parmar regression. We used data from UK Biobank and multimorbidity as our example.</p>
RESULTS: For the YPLL and GBD method, the analytical procedures allow only to quantify the average YLL within each group (with and without multimorbidity) and, from them, their difference; conversely, for the other methods both the remaining life expectancy within each group and the YLL could be estimated. At 65 years, the YLL in those with vs. without multimorbidity was 1.8, 1.2, and 2.7 years using the life tables approach and the Poisson, and Royston-Parmar regression, respectively; corresponding values were -0.73 and -0.05 years for YPLL and using the GBD approach.</p>
CONCLUSION: While deciding among different methods to estimate YLL, researchers should consider the purpose of the research, the type of available data, and the flexibility of the model.</p>
3 Keywords
- Global Burden of Disease
- Humans
- Life Expectancy
7 Authors
- Yogini V Chudasama
- Kamlesh Khunti
- Clare L Gillies
- Nafeesa N Dhalwani
- Melanie J Davies
- Thomas Yates
- Francesco Zaccardi
Enabling scientific discoveries that improve human health