Literature DB >> 23109282

Do cancer and treatment type affect distress?

J M Admiraal1, A K L Reyners, J E H M Hoekstra-Weebers.   

Abstract

OBJECTIVE: We examined differences in distress levels and Distress Thermometer (DT) cutoff scores between different cancer types. The effect of socio-demographic and illness-related variables on distress was also examined.
METHODS: One thousand three hundred fifty patients (response = 51%) completed questions on socio-demographic and illness-related variables, the Dutch version of the DT and Problem List, and the Hospital Anxiety and Depression Scale. Receiver operating characteristics analyses were performed to determine cancer specific cutoff scores. Univariate and multivariate effects of socio-demographic and illness-related variables (including cancer type) on distress were examined.
RESULTS: Prostate cancer patients reported significantly lower DT scores (M = 2.5 ± 2.5) and the cutoff score was lower (≥ 4) than in patients with most other cancer types (M varied between 3.4 and 5.1; cutoff ≥ 5). Multivariate analyses (F = 10.86, p < .001, R(2) = 0.08) showed an independent significant effect of four variables on distress: intensive treatment (β = .10, any (combination of) treatment but surgery only and 'wait and see'); a non-prostate cancer type (β = -.17); the interaction between gender and age (β = -.12, highest distress in younger women as compared with older women and younger and older men); and the interaction between cancer type and treatment intensity (β = .08, lowest scores in prostate cancer patients receiving non-intensive treatment as compared with their counterparts).
CONCLUSIONS: Distress and cutoff score in prostate cancer patients were lower than in patients with other cancer types. Additionally, younger women and patients receiving treatment other than surgery only or 'wait and see' are at risk for higher distress. These results can help identify patients possibly in need of referral to professional psychosocial and/or allied health care.
Copyright © 2012 John Wiley & Sons, Ltd.

Entities:  

Keywords:  cancer; cancer type; cutoff; distress thermometer; oncology; screening

Mesh:

Substances:

Year:  2012        PMID: 23109282     DOI: 10.1002/pon.3211

Source DB:  PubMed          Journal:  Psychooncology        ISSN: 1057-9249            Impact factor:   3.894


  18 in total

1.  Presence and predictors of anxiety disorder onset following cancer diagnosis among anxious cancer survivors.

Authors:  Joanna J Arch; Sarah R Genung; Michelle C Ferris; Alex Kirk; Elizabeth T Slivjak; Joel N Fishbein; Rebecca L Schneider; Annette L Stanton
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2.  The diagnostic role of a short screening tool--the distress thermometer: a meta-analysis.

Authors:  Xuelei Ma; Jing Zhang; Wuning Zhong; Chi Shu; Fengtian Wang; Jianing Wen; Min Zhou; Yaxiong Sang; Yu Jiang; Lei Liu
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3.  Psychological distress among Indigenous Australian cancer survivors.

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Journal:  Support Care Cancer       Date:  2017-12-14       Impact factor: 3.603

4.  Family caregivers' distress levels related to quality of life, burden, and preparedness.

Authors:  Rebecca Fujinami; Virginia Sun; Finly Zachariah; Gwen Uman; Marcia Grant; Betty Ferrell
Journal:  Psychooncology       Date:  2014-05-01       Impact factor: 3.894

5.  Transitions in Symptom Cluster Subgroups Among Men Undergoing Prostate Cancer Radiation Therapy.

Authors:  Shannon Ruff Dirksen; Michael J Belyea; William Wong; Dana R Epstein
Journal:  Cancer Nurs       Date:  2016 Jan-Feb       Impact factor: 2.592

6.  Predictors of psychological distress among cancer patients receiving care at a safety-net institution: the role of younger age and psychosocial problems.

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Journal:  Support Care Cancer       Date:  2017-03-02       Impact factor: 3.603

7.  Properties of the Shift and Persist Questionnaire in adolescent and young adult cancer patients and survivors: Validity, consistency, and interpretability.

Authors:  Karly M Murphy; Edith Chen; Edward H Ip; Abby R Rosenberg; Mallory A Snyder; John M Salsman
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8.  Predictors of enduring clinical distress in women with breast cancer.

Authors:  Deborah N N Lo-Fo-Wong; Hanneke C J M de Haes; Neil K Aaronson; Doris L van Abbema; Mathilda D den Boer; Marjan van Hezewijk; Marcelle Immink; Ad A Kaptein; Marian B E Menke-Pluijmers; Anna K L Reyners; Nicola S Russell; Manon Schriek; Sieta Sijtsema; Geertjan van Tienhoven; Mirjam A G Sprangers
Journal:  Breast Cancer Res Treat       Date:  2016-07-14       Impact factor: 4.872

9.  Deaths and major biographical events: a study of all cancer deaths in Germany from 1995 to 2009.

Authors:  Daniel Medenwald; Oliver Kuss
Journal:  BMJ Open       Date:  2014-04-02       Impact factor: 2.692

10.  The effectiveness of a nurse-led intervention with the distress thermometer for patients treated with curative intent for breast cancer: design of a randomized controlled trial.

Authors:  Floortje K Ploos van Amstel; Judith B Prins; Winette T A van der Graaf; Marlies E W J Peters; Petronella B Ottevanger
Journal:  BMC Cancer       Date:  2016-07-25       Impact factor: 4.430

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