OBJECTIVE: Significant numbers of cancer patients suffer distress, reduced quality of life and various other psychological problems. Evidence regarding psychological predictors of these outcomes is inconsistent. This study explored a range of predictors using an established psychological framework to identify the most important predictors of cancer adjustment, and when these are best assessed for optimal outcome prediction. METHODS: One hundred sixty newly diagnosed breast, colorectal, lung and prostate cancer patients completed questionnaires after diagnosis and at 3- and 6-month follow-up. Measures included personality, illness cognitions, emotion, coping and outcome (anxiety, depression and quality of life). RESULTS: Between 47-74% of variance in psychosocial outcome was explained although large proportions were accounted for by clinical factors, demographics and earlier levels of anxiety, depression and quality of life. Of the psychological variables, cognitive appraisals featured more consistently then either emotions or coping. CONCLUSIONS: There are clear and consistent predictors of negative psychosocial outcome that could be used in clinical practice to risk-assess and monitor patients for adjustment difficulties. The finding that appraisals were more predictive of outcome than emotions and coping may inform the development of psychological interventions for cancer patients.
OBJECTIVE: Significant numbers of cancerpatients suffer distress, reduced quality of life and various other psychological problems. Evidence regarding psychological predictors of these outcomes is inconsistent. This study explored a range of predictors using an established psychological framework to identify the most important predictors of cancer adjustment, and when these are best assessed for optimal outcome prediction. METHODS: One hundred sixty newly diagnosed breast, colorectal, lung and prostate cancerpatients completed questionnaires after diagnosis and at 3- and 6-month follow-up. Measures included personality, illness cognitions, emotion, coping and outcome (anxiety, depression and quality of life). RESULTS: Between 47-74% of variance in psychosocial outcome was explained although large proportions were accounted for by clinical factors, demographics and earlier levels of anxiety, depression and quality of life. Of the psychological variables, cognitive appraisals featured more consistently then either emotions or coping. CONCLUSIONS: There are clear and consistent predictors of negative psychosocial outcome that could be used in clinical practice to risk-assess and monitor patients for adjustment difficulties. The finding that appraisals were more predictive of outcome than emotions and coping may inform the development of psychological interventions for cancerpatients.
Authors: Lesley Stafford; Fiona Judd; Penny Gibson; Angela Komiti; G Bruce Mann; Michael Quinn Journal: Support Care Cancer Date: 2015-01-06 Impact factor: 3.603
Authors: Christine L Paul; Emilie Cameron; Christopher Doran; David Hill; Finlay Macrae; Mariko L Carey; Rob W Sanson-Fisher Journal: Support Care Cancer Date: 2016-07-16 Impact factor: 3.603
Authors: Bojoura Schouten; Bert Avau; Geertruida Trudy E Bekkering; Patrick Vankrunkelsven; Jeroen Mebis; Johan Hellings; Ann Van Hecke Journal: Cochrane Database Syst Rev Date: 2019-03-26
Authors: Suzanne A Eccles; Eric O Aboagye; Simak Ali; Annie S Anderson; Jo Armes; Fedor Berditchevski; Jeremy P Blaydes; Keith Brennan; Nicola J Brown; Helen E Bryant; Nigel J Bundred; Joy M Burchell; Anna M Campbell; Jason S Carroll; Robert B Clarke; Charlotte E Coles; Gary J R Cook; Angela Cox; Nicola J Curtin; Lodewijk V Dekker; Isabel dos Santos Silva; Stephen W Duffy; Douglas F Easton; Diana M Eccles; Dylan R Edwards; Joanne Edwards; D Evans; Deborah F Fenlon; James M Flanagan; Claire Foster; William M Gallagher; Montserrat Garcia-Closas; Julia M W Gee; Andy J Gescher; Vicky Goh; Ashley M Groves; Amanda J Harvey; Michelle Harvie; Bryan T Hennessy; Stephen Hiscox; Ingunn Holen; Sacha J Howell; Anthony Howell; Gill Hubbard; Nick Hulbert-Williams; Myra S Hunter; Bharat Jasani; Louise J Jones; Timothy J Key; Cliona C Kirwan; Anthony Kong; Ian H Kunkler; Simon P Langdon; Martin O Leach; David J Mann; John F Marshall; Lesley Martin; Stewart G Martin; Jennifer E Macdougall; David W Miles; William R Miller; Joanna R Morris; Sue M Moss; Paul Mullan; Rachel Natrajan; James P B O'Connor; Rosemary O'Connor; Carlo Palmieri; Paul D P Pharoah; Emad A Rakha; Elizabeth Reed; Simon P Robinson; Erik Sahai; John M Saxton; Peter Schmid; Matthew J Smalley; Valerie Speirs; Robert Stein; John Stingl; Charles H Streuli; Andrew N J Tutt; Galina Velikova; Rosemary A Walker; Christine J Watson; Kaye J Williams; Leonie S Young; Alastair M Thompson Journal: Breast Cancer Res Date: 2013-10-01 Impact factor: 6.466