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. 2011 Jul 18:9:53.
doi: 10.1186/1477-7525-9-53.

Multimorbidity and health-related quality of life in the older population: results from the German KORA-age study

Matthias Hunger  1 , Barbara Thorand, Michaela Schunk, Angela Döring, Petra Menn, Annette Peters, Rolf Holle
Affiliations

Multimorbidity and health-related quality of life in the older population: results from the German KORA-age study

Matthias Hunger et al. Health Qual Life Outcomes. .

Abstract

Background: Multimorbidity in the older population is well acknowledged to negatively affect health-related quality of life (HRQL). Several studies have examined the independent effects of single diseases; however, little research has focused on interaction between diseases. The purpose of this study was to assess the impact of six self-reported major conditions and their combinations on HRQL measured by the EQ-5D.

Methods: The EQ-5D was administered in the population-based KORA-Age study of 4,565 Germans aged 65 years or older. A generalised additive regression model was used to assess the effects of chronic conditions on HRQL and to account for the nonlinear associations with age and body mass index (BMI). Disease interactions were identified by a forward variable selection method.

Results: The conditions with the greatest negative impact on the EQ-5D index were the history of a stroke (regression coefficient -11.3, p < 0.0001) and chronic bronchitis (regression coefficient -8.1, p < 0.0001). Patients with both diabetes and coronary disorders showed more impaired HRQL than could be expected from their separate effects (coefficient of interaction term -8.1, p < 0.0001). A synergistic effect on HRQL was also found for the combination of coronary disorders and stroke. The effect of BMI on the mean EQ-5D index was inverse U-shaped with a maximum at around 24.8 kg/m².

Conclusions: There are important interactions between coronary problems, diabetes mellitus, and the history of a stroke that negatively affect HRQL in the older German population. Not only high but also low BMI is associated with impairments in health status.

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Figures

Figure 1
Figure 1
Estimated smooth functions formula image and formula image showing the nonlinear effects of age and body mass index (BMI) on the mean EQ-5D index score. The solid curves represent GAM estimates using a thin plate regression spline function with estimated 6.2 and 4.7 effective degrees of freedom for age and BMI, respectively. The shaded areas represent approximate 95% pointwise confidence intervals. The functions are fixed around the mean value of the EQ-5D index score. Due to estimation uncertainty for outliers, values for seven subjects over 90 years and one subject with a BMI >50 are not displayed.
See this image and copyright information in PMC

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