CASP-19 special section: how does chronic disease status affect CASP quality of life at older ages? Examining the WHO ICF disability domains as mediators of this relationship

Abstract

Objectives: The effect of chronic disease status on quality of life (QoL) has been well established. However, less is known about how chronic diseases affect QoL. This article examines impairment in three domains of the WHO International Classification of Functioning, Health and Disability (ICF) – body function, activity and participation, as well as affective well-being, – as potential mediators of the relationship between chronic disease and QoL.

Method: A cross-sectional sample (n = 4961) of the general Irish community-dwelling population aged 50+ years was obtained from the Irish Longitudinal Study of Ageing (TILDA). The CASP measure of QoL was examined as two dimensions – control/autonomy and self-realisation/pleasure. Structural equation modelling was used to test the direct and indirect effects of chronic disease on QoL, via variables capturing body function, activity, participation and positive affect.

Results: A factor analysis showed that indicators of body function and activity loaded onto a single overall physical impairment factor. This physical impairment factor fully mediated the effect of chronic disease on positive affect and QoL. The total effect of chronic disease on control/autonomy (−0.160) was primarily composed of an indirect effect via physical impairment (−0.86), and via physical impairment and positive affect (−0.45). The decomposition of effects on self-realisation/pleasure was similar, although the direct effect of physical impairment was weaker. The model fitted the data well (RMSEA = 0.02, TLI = 0.96, CFI = 0.96).

Conclusion: Chronic disease affects QoL through increased deficits in physical body function and activity. This overall physical impairment affects QoL both directly and indirectly via reduced positive affect.

Keywords:

• quality of life
• older people
• chronic disease
• structural equation modelling
• ICF
• affect

Acknowledgements

TILDA was designed and implemented by the TILDA team, who also gave feedback on the manuscript.

Additional information

Funding

This work was supported by the HRB PhD Scholars Programme in Health Services Research in Ireland [grant no. PHD/2007/16]. TILDA data have been co-funded by the Government of Ireland through the Office of the Minister for Health and Children, by Atlantic Philanthropies, and by Irish Life.