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

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  • Serena Broccoli
  • Giulia Cavrini
  • Marco Zoli

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.

Suggested Citation

  • Serena Broccoli & Giulia Cavrini & Marco Zoli, 2005. "A quantile regression approach to the analysis of the quality of life determinants in the elderly," Statistica, Department of Statistics, University of Bologna, vol. 65(4), pages 419-436.
    • Handle: RePEc:bot:rivsta:v:65:y:2005:i:4:p:419-436
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    Cited by:

    1. Borgini, Riccardo & Bianco, Paola Del & Salvati, Nicola & Schmid, Timo & Tzavidis, Nikos, 2015. "Modelling the distribution of health related quality of life of advanced melanoma patients in a longitudinal multi-centre clinical trial using M-quantile random effects regression," Discussion Papers 2015/19, Free University Berlin, School of Business & Economics.

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