caa a22 4500 606153039 CHVBK 20210128100551.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s11121-013-0437-z doi (NATIONALLICENCE)springer-10.1007/s11121-013-0437-z Associations Between Health-Related Quality of Life and Mortality in Older Adults [Elektronische Daten] [Derek Brown, William Thompson, Matthew Zack, Sarah Arnold, John Barile] This study measures the use and relative importance of different measures of health-related quality of life (HRQOL) as predictors of mortality in a large sample of older US adults. We used Cox proportional hazards models to analyze the association between general self-reported health and three "healthy days” (HDs) measures of HRQOL and mortality at short-term (90-day) and long-term (2.5years) follow-up. The data were from Cohorts 6 through 8 of the Medicare Health Outcomes Survey, a national sample of older adults who completed baseline surveys in 2003-2005. At the long term, reduced HRQOL in general health and all categories of the HDs were separately and significantly associated with greater mortality (P < 0.001). In multivariate analysis of long-term mortality, at least one HD category remained significant for each measure, but the associations between mental health and mortality were inconsistent. For short-term mortality, the physical health measures had larger hazard ratios, but fewer categories were significant. Hazard ratios decreased over time for all measures of HRQOL except mental health. In conclusion, HRQOL measures were shown to be significant predictors of short- and long-term mortality, further supporting their value in health surveillance and as markers of risk for targeted prevention efforts. Although all four measures of HRQOL significantly predicted mortality, general self-rated health and age were more important predictors than the HDs. Society for Prevention Research (outside the USA), 2013 Mortality nationallicence Survival analysis nationallicence Quality of life nationallicence Medicare nationallicence Brown Derek Brown School, Washington University in St. Louis, One Brookings Drive, Campus Box 1196, 63130, St. Louis, MO, USA aut Thompson William Division of Behavioral Surveillance, Public Health Surveillance Program Office, Centers for Disease Control and Prevention, Atlanta, GA, USA aut Zack Matthew Division of Behavioral Surveillance, Public Health Surveillance Program Office, Centers for Disease Control and Prevention, Atlanta, GA, USA aut Arnold Sarah Public Health Economics Program, RTI International, Research Triangle Park, NC, USA aut Barile John Department of Psychology, University of Hawai‘i at Mānoa, Honolulu, HI, USA aut Prevention Science Springer US; http://www.springer-ny.com 16/1(2015-01-01), 21-30 1389-4986 16:1<21 2015 16 11121 https://doi.org/10.1007/s11121-013-0437-z text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11121-013-0437-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Brown Derek Brown School, Washington University in St. Louis, One Brookings Drive, Campus Box 1196, 63130, St. Louis, MO, USA aut NATIONALLICENCE 700 1- Thompson William Division of Behavioral Surveillance, Public Health Surveillance Program Office, Centers for Disease Control and Prevention, Atlanta, GA, USA aut NATIONALLICENCE 700 1- Zack Matthew Division of Behavioral Surveillance, Public Health Surveillance Program Office, Centers for Disease Control and Prevention, Atlanta, GA, USA aut NATIONALLICENCE 700 1- Arnold Sarah Public Health Economics Program, RTI International, Research Triangle Park, NC, USA aut NATIONALLICENCE 700 1- Barile John Department of Psychology, University of Hawai‘i at Mānoa, Honolulu, HI, USA aut NATIONALLICENCE 773 0- Prevention Science Springer US; http://www.springer-ny.com 16/1(2015-01-01), 21-30 1389-4986 16:1<21 2015 16 11121