A quantile regression approach to the analysis of the quality of life determinants in the elderly

Authors

  • Serena Broccoli Alma Mater Studiorum - Università di Bologna
  • Giulia Cavrini Alma Mater Studiorum - Università di Bologna
  • Marco Zoli Alma Mater Studiorum - Università di Bologna

DOI:

https://doi.org/10.6092/issn.1973-2201/100

Abstract

Objective. The aim of this study is to explain the effect of important covariates on the health-related quality of life (HRQol) in elderly subjects. Methods. Data were collected within a longitudinal study that involves 5256 subject, aged +or= 65. The Visual Analogue Scale inclused in the EQ-5D Questionnaire, tha EQ-VAS, was used to obtain a synthetic measure of quality of life. To model EQ-VAS Score a quantile regression analysis was employed. This methodological approach was preferred to an OLS regression becouse of the EQ-VAS Score typical distribution. The main covariates are: amount of weekly physical activity, reported problems in Activity of Daily Living, presence of cardiovascular diseases, diabetes, hypercolesterolemia, hypertension, joints pains, as well as socio-demographic information. Main Results. 1) Even a low level of physical activity significantly influences quality of life in a positive way; 2) ADL problems, at least one cardiovascular disease and joint pain strongly decrease the quality of life.

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How to Cite

Broccoli, S., Cavrini, G., & Zoli, M. (2013). A quantile regression approach to the analysis of the quality of life determinants in the elderly. Statistica, 65(4), 419-436. https://doi.org/10.6092/issn.1973-2201/100

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Articles