Predictors of Quality of Life (Qol): Comparing Baby Boomers, Older Adults, and Younger Adults Using Data From the 2010 National Health Interview Survey

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The purpose of this study was to identify factors that predict quality of life (QOL) for aging adults and to examine and compare Baby Boomers', Older Adults' and Younger Adults' responses to the 2010 National Health Interview Survey/QOL Functioning and Disability. Significant findings included several significant values based on the multivariate regression to estimate a model to predict QOL. In particular, being male, four ethnicities other than white, being older than Boomer, age in 10 years, the Functional Difficulty Index, the Functional Limitation Index scores, chronic heart disease, asthma, and arthritis all had significant p values. Adults with chronic heart ... continued below

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Bryce, Helen Roult December 2012.

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  • Bryce, Helen Roult

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Description

The purpose of this study was to identify factors that predict quality of life (QOL) for aging adults and to examine and compare Baby Boomers', Older Adults' and Younger Adults' responses to the 2010 National Health Interview Survey/QOL Functioning and Disability. Significant findings included several significant values based on the multivariate regression to estimate a model to predict QOL. In particular, being male, four ethnicities other than white, being older than Boomer, age in 10 years, the Functional Difficulty Index, the Functional Limitation Index scores, chronic heart disease, asthma, and arthritis all had significant p values. Adults with chronic heart disease, asthma, or arthritis scored lower on the QOL index, but cancer, stroke, or diabetes were not associated with the QOL index. Two hypotheses had strong support. Lower scores on both the Functional Difficulty Index and the Functional Limitation Index yielded lower QOL scores. Further research recommendations include establishing reliability and validity of the QOL index; running additional regressions for demographics (ethnicity, marital status, etc.) to predict possible combinations of variables predicting QOL or barriers to QOL; and investigating the viability of incorporating the QOL index into an electronic medical record (EMR) dashboard parameter to serve as a screening mechanism for those aging adults most at risk for chronicities or co-morbidities that place them at risk for losing their ability to age in place in the home of their choosing.

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  • December 2012

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  • Feb. 1, 2014, 6:14 p.m.

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  • Nov. 16, 2016, 1:38 p.m.

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Bryce, Helen Roult. Predictors of Quality of Life (Qol): Comparing Baby Boomers, Older Adults, and Younger Adults Using Data From the 2010 National Health Interview Survey, dissertation, December 2012; Denton, Texas. (https://digital.library.unt.edu/ark:/67531/metadc271786/: accessed April 22, 2019), University of North Texas Libraries, Digital Library, https://digital.library.unt.edu; .