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Comparative Study
. 2013 Mar 14:11:46.
doi: 10.1186/1477-7525-11-46.

Health-related quality of life and life satisfaction in colorectal cancer survivors: trajectories of adjustment

Jeff Dunn, Shu Kay Ng, William Breitbart, Joanne Aitken, Pip Youl, Peter D Baade, Suzanne K Chambers
Comparative Study

Health-related quality of life and life satisfaction in colorectal cancer survivors: trajectories of adjustment

Jeff Dunn et al. Health Qual Life Outcomes. .

Abstract

Background: This longitudinal study describes the five year trajectories of health-related quality of life (HR-QOL) and life satisfaction in long term colorectal cancer survivors.

Patients and methods: A population-based sample of 1966 colorectal cancer survivors were surveyed at six time points from five months to five years post-diagnosis. Predictor variables were: socio-demographic variables, optimism; cancer threat appraisal; perceived social support. Quality of life was assessed with the Functional Assessment of Cancer Therapy-Colorectal (HR-QOL); and the Satisfaction with Life Scale. Growth mixture models were applied to identify trajectory classes and their predictors.

Results: Distinct adjustment trajectories were identified for HR-QOL and life satisfaction. Lower optimism, poorer social support, a more negative cognitive appraisal, and younger age were associated with poorer life satisfaction, while survivors with less than 8 years of education had higher life satisfaction. This pattern was similar for overall HR-QOL except that educational level was not a significant predictor and later stage disease and female gender emerged as related to poorer outcomes. One in five survivors reported poorer constant HR-QOL (19.2%) and a small group had poor life satisfaction (7.2%); 26.2% reported constant high HR-QOL and 48.8% had high constant life satisfaction. Socioeconomic disadvantage and remoteness of residence uniquely predicted poorer outcomes in the colorectal cancer specific HR-QOL sub domain.

Conclusion: Although HR-QOL and subjective cognitive QOL share similar antecedents their trajectory patterns suggested they are distinct adjustment outcomes; with life satisfaction emerging as temporally stable phenomenon. Unique patterns of risk support suggest the need to account for heterogeneity in adjustment in longitudinal QOL studies with cancer survivors.

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Figures

Figure 1
Figure 1
Estimated mean trajectories of SWLS (four-class model with 5 covariates, N = 1615).
Figure 2
Figure 2
Estimated mean trajectories of FACT-C (four-class model with 6 covariates, N = 1618).
See this image and copyright information in PMC

References

    1. GLOBOCAN. v1.2, Cancer Incidence and Mortality Worldwide: IARC CancerBase No 10. 2008. http://globocan.iarc.fr.
    1. Australian Institute of Health and Welfare. Australian Cancer Incidence and Mortality (ACIM) Canberra: Australian Institute of Health and Welfare; 2011.
    1. Cheng L, Eng C, Nieman LZ, Kapadia AS, Du XL. Trends in colorectal cancer incidence by anatomic site and disease stage in the United States from 1976 to 2005. Am J Clin Oncol. 2011;34(6):573–580. doi: 10.1097/COC.0b013e3181fe41ed. - DOI - PubMed
    1. Coleman MP, Forman D, Bryant H, Butler J, Rachet B, Maringe C, Nur U, Tracey E, Coory M, Hatcher J. Cancer survival in Australia, Canada, Denmark, Norway, Sweden, and the UK, 1995–2007 (the International Cancer Benchmarking Partnership): an analysis of population-based cancer registry data. Lancet. 2011;377(9760):127–13. doi: 10.1016/S0140-6736(10)62231-3. - DOI - PMC - PubMed
    1. Baade PD, Youlden DR, Chambers SK. When do I know I am cured? Using conditional estimates to provide better information about cancer survival prospects. Medical Journal of Australia. 2011;194:73. - PubMed

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