The Queensland cancer risk study: general population norms for the Functional Assessment of Cancer Therapy–General (FACT-G)
Article first published online: 22 OCT 2008
Copyright © 2008 John Wiley & Sons, Ltd.
Volume 18, Issue 6, pages 606–614, June 2009
How to Cite
Janda, M., DiSipio, T., Hurst, C., Cella, D. and Newman, B. (2009), The Queensland cancer risk study: general population norms for the Functional Assessment of Cancer Therapy–General (FACT-G). Psycho-Oncology, 18: 606–614. doi: 10.1002/pon.1428
- Issue published online: 27 MAY 2009
- Article first published online: 22 OCT 2008
- Manuscript Accepted: 7 JUL 2008
- Manuscript Revised: 25 JUN 2008
- Manuscript Received: 26 FEB 2008
- reference values;
- normative data;
- quality of life;
Objective: To derive Australian normative scores for the Functional Assessment of Cancer Therapy-General Population (FACT-GP) and to confirm its factor structure.
Methods: Quality of life (QoL) data (as measured by the FACT-GP) were collected within the Queensland Cancer Risk Study (QCRS) in 2004. The QCRS explored cancer screening and cancer risk behaviours among 9419 English-speaking residents of Queensland aged 20–75 years. Information was collected through computer-assisted telephone interviews and augmented by mailed, Self-Administered Questionnaires (SAQ). A total of 2727 participants largely comparable to the general population of Queensland self-completed the FACT-GP; however, participants were somewhat higher educated, more likely to have had cancer and less likely to be of indigenous heritage.
Results: The Queensland population reported a FACT-GP summary score of 85.9 (SD=15.1), with subscale scores (range: 19.2 for social well-being to 25.1 for physical well-being (PWB)). In this study, men and women within different age groups reported similar QoL. QoL was clinically and significantly lower among participants not married, with a body mass index (BMI) deviating from normal weight and with one or more self-reported morbidities. A four-factor solution was confirmed with good goodness-of-fit indices (RSMEA<0.05 for all three age groups).
Conclusions: The reference values from the general population reported here can be used for comparison with the QoL measured in populations of cancer patients, providing a benchmark against which clinicians can evaluate the impact of the disease and/or the treatments on QoL. Copyright © 2008 John Wiley & Sons, Ltd.