Evaluating health-related quality of life impact of chronic conditions among older adults from a rural town in Suzhou, China

Arch Gerontol Geriatr. 2018 May-Jun:76:6-11. doi: 10.1016/j.archger.2018.01.008. Epub 2018 Feb 2.

Abstract

This study aimed to estimate the loss of health-related quality of life (HRQOL) associated with common chronic conditions in older Chinese population.Weitang Geriatric Diseases Study is a community-based health survey on 5557 Chinese aged 60 years or older. The study population was measured with EQ-5D-3L for HRQOL assessment. We also assessed the coexisting chronic conditions of depression, cognitive dysfunction, stroke, heart disease, diabetes, hypertension, obesity, hyperlipidemia and visual impairment based on self-completed questionnaires, biomarkers and medical records. Ordinary Least Square regression was performed to model the relationship between the conditions and the EQ-5D-3L index scores. The robust standard error (RSE) estimator was adopted to calculate 95% confidence interval (CI) for coefficients. The mean EQ-5D-3L representing overall HRQOL was 0.954 (standard deviation: 0.081) with 70% of participants reporting full health. After controlling for socio-demographic characteristics and comorbidities, depression, stroke, heart disease and cognitive dysfunction had significantly adverse impact on the EQ-5D index score. The respective coefficients (95% CI) of each condition were -0.191 (-0.233, -0.150), -0.052 (-0.086, -0.019), -0.019 (-0.029, -0.010), and -0.016 (-0.024, -0.008). Chronic conditions were found to contribute to HRQOL loss in older Chinese population. The utility and utility decrement estimated can be used for quality-adjusted life-year calculation.

Keywords: China; Chronic conditions; EQ-5D-3L; Health utility; Older adults.

Publication types

  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Aged, 80 and over
  • China / epidemiology
  • Chronic Disease / epidemiology*
  • Chronic Disease / psychology
  • Female
  • Health Status*
  • Health Surveys / methods*
  • Humans
  • Male
  • Middle Aged
  • Morbidity / trends
  • Quality of Life / psychology*
  • Rural Population*