Relative importance of selected predictors of health-related quality-of-life (HRQOL) among US adults
被引:0
|
作者:
Jia, Haomiao
论文数: 0引用数: 0
h-index: 0
机构:
Columbia Univ, Mailman Sch Publ Hlth, Dept Biostat, 560 West 168th St, New York, NY 10032 USA
Columbia Univ, Sch Nursing, 560 West 168th St, New York, NY 10032 USAColumbia Univ, Mailman Sch Publ Hlth, Dept Biostat, 560 West 168th St, New York, NY 10032 USA
Jia, Haomiao
[1
,2
]
Lubetkin, Erica I.
论文数: 0引用数: 0
h-index: 0
机构:
CUNY, Sch Med, Dept Community Hlth & Social Med, New York, NY USAColumbia Univ, Mailman Sch Publ Hlth, Dept Biostat, 560 West 168th St, New York, NY 10032 USA
Lubetkin, Erica I.
[3
]
机构:
[1] Columbia Univ, Mailman Sch Publ Hlth, Dept Biostat, 560 West 168th St, New York, NY 10032 USA
[2] Columbia Univ, Sch Nursing, 560 West 168th St, New York, NY 10032 USA
[3] CUNY, Sch Med, Dept Community Hlth & Social Med, New York, NY USA
PurposeMany factors have been associated with health-related quality of life (HRQOL), and researchers often have tried to rank these contributing factors. Variable importance quantifies the net independent contribution of each individual predictor in a set of predictors to the prediction accuracy of the outcome. This study assessed relative importance (RI) of selected contributing factors to respondents' physically unhealthy days (PUD), mentally unhealthy days (MUD), activity limitation days (ALD), and EuroQol EQ-5D index derived from the Healthy Days measures (dEQ-5D). MethodsUsing data from the 2021 Behavioral Risk Factor Surveillance Systems (BRFSS), we estimated the RI of seven socio-demographics and seventeen chronic conditions and risk behaviors. A variable's importance was measured as the average increase in the coefficient of determination after adding the variable to all possible sub-models. ResultsAfter controlling for socio-demographics, arthritis and no physical activity were the most important variables for PUD with a RI of 10.5 and 10.4, respectively, followed by depression (RI = 8.5) and COPD (RI = 8.3). Depression was the most important variable for MUD with RI = 23.0 while all other 16 predictors had a RI < 7.0. Similar results were observed for ALD and dEQ-5D: depression was the most important predictor (RI = 16.3 and 15.2, respectively), followed by no physical activity, arthritis, and COPD (RI ranging from 7.1 to 9.2). ConclusionThis study quantified and ranked selected contributing factors of HRQOL. Results of this analysis also can be used to validate HRQOL measures based on domain knowledge of HRQOL.
机构:
Cognizant Pvt Ltd, Buenos Aires, DF, ArgentinaMaharashtra Univ Hlth Sci, KEM Hosp, Univ Dept Infect Dis, Bombay, Maharashtra, India
Bodke, N. K.
Sanap, D. A.
论文数: 0引用数: 0
h-index: 0
机构:
Sun Pharma Adv Res Co, Bombay 400093, Maharashtra, IndiaMaharashtra Univ Hlth Sci, KEM Hosp, Univ Dept Infect Dis, Bombay, Maharashtra, India
Sanap, D. A.
Gogtay, N. J.
论文数: 0引用数: 0
h-index: 0
机构:
Seth GS Med Coll, Dept Clin Pharmacol, Bombay, Maharashtra, India
King Edward Mem Hosp, Bombay, Maharashtra, IndiaMaharashtra Univ Hlth Sci, KEM Hosp, Univ Dept Infect Dis, Bombay, Maharashtra, India