OBJECTIVES: This study examined the cross-sectional and longitudinal relationships of illness perceptions, coping, and distress in women with breast cancer. Illness perceptions and coping at baseline and changes in these variables over time served as possible predictors of distress at two follow-up points. DESIGN AND METHODS: Fifty-seven women with breast cancer who participated in a psychosocial aftercare programme completed a questionnaire before the start of the intervention, directly after the end of the intervention, and 1 year after the start of the intervention. Study variables were assessed with the Illness Perception Questionnaire-Revised (illness perceptions), the COPE (coping), and the Hopkins Symptom Check List (distress). RESULTS: Results showed that 43% of variance in distress at baseline was explained by participants' illness perceptions. Cyclical timeline perceptions were the strongest predictor of distress at baseline. Longitudinal data revealed that after the end of the intervention, the intensity of general distress and breast cancer-related emotions had decreased significantly. Partial correlations showed that baseline illness perceptions were unrelated to distress at follow-up. However, changes in illness perceptions (perceptions about the cyclical and chronic timeline and symptoms associated with breast cancer) showed significant associations with distress at both follow-up assessments. Associations of follow-up distress with coping styles were less consistent. CONCLUSIONS: Our results suggest that changes in illness perceptions are related to an improvement or worsening of patients' emotional well-being over time. These findings hold promise for the development of interventions that specifically target patients' representations of their illness.
OBJECTIVES: This study examined the cross-sectional and longitudinal relationships of illness perceptions, coping, and distress in women with breast cancer. Illness perceptions and coping at baseline and changes in these variables over time served as possible predictors of distress at two follow-up points. DESIGN AND METHODS: Fifty-seven women with breast cancer who participated in a psychosocial aftercare programme completed a questionnaire before the start of the intervention, directly after the end of the intervention, and 1 year after the start of the intervention. Study variables were assessed with the Illness Perception Questionnaire-Revised (illness perceptions), the COPE (coping), and the Hopkins Symptom Check List (distress). RESULTS: Results showed that 43% of variance in distress at baseline was explained by participants' illness perceptions. Cyclical timeline perceptions were the strongest predictor of distress at baseline. Longitudinal data revealed that after the end of the intervention, the intensity of general distress and breast cancer-related emotions had decreased significantly. Partial correlations showed that baseline illness perceptions were unrelated to distress at follow-up. However, changes in illness perceptions (perceptions about the cyclical and chronic timeline and symptoms associated with breast cancer) showed significant associations with distress at both follow-up assessments. Associations of follow-up distress with coping styles were less consistent. CONCLUSIONS: Our results suggest that changes in illness perceptions are related to an improvement or worsening of patients' emotional well-being over time. These findings hold promise for the development of interventions that specifically target patients' representations of their illness.
Authors: Melissa S Y Thong; Floortje Mols; Adrian A Kaptein; Dorry Boll; Caroline Vos; Johanna M A Pijnenborg; Lonneke V van de Poll-Franse; Nicole P M Ezendam Journal: Support Care Cancer Date: 2018-09-13 Impact factor: 3.603
Authors: Alaina J Brown; Charlotte C Sun; Diana Urbauer; Donna S Zhukovsky; Charles Levenback; Michael Frumovitz; Premal H Thaker; Diane C Bodurka; Lois M Ramondetta Journal: Support Care Cancer Date: 2014-12-18 Impact factor: 3.603
Authors: Ad A Kaptein; Jan W Schoones; Maarten J Fischer; Melissa S Y Thong; Judith R Kroep; Koos J M van der Hoeven Journal: Curr Breast Cancer Rep Date: 2015
Authors: Valentina E Di Mattei; Letizia Carnelli; Martina Mazzetti; Martina Bernardi; Rossella Di Pierro; Alice Bergamini; Giorgia Mangili; Massimo Candiani; Lucio Sarno Journal: PLoS One Date: 2016-04-21 Impact factor: 3.240
Authors: M J Fischer; K Inoue; A Matsuda; J R Kroep; S Nagai; K Tozuka; M Momiyama; N I Weijl; D Langemeijer-Bosman; S R S Ramai; J W R Nortier; H Putter; K Yamaoka; K Kubota; K Kobayashi; A A Kaptein Journal: Breast Cancer Res Treat Date: 2017-07-31 Impact factor: 4.872