%0 Journal Article
%A Adam, Salome
%A Thong, Melissa
%A Martin-Diener, Eva
%A Camey, Bertrand
%A Egger Hayoz, Céline
%A Konzelmann, Isabelle
%A Mousavi, Seyed Mohsen
%A Herrmann, Christian
%A Rohrmann, Sabine
%A Wanner, Miriam
%A Staehelin, Katharina
%A Strebel, Räto T
%A Randazzo, Marco
%A John, Hubert
%A Schmid, Hans-Peter
%A Feller, Anita
%A Arndt, Volker
%T Identifying classes of the pain, fatigue, and depression symptom cluster in long-term prostate cancer survivors-results from the multi-regional Prostate Cancer Survivorship Study in Switzerland (PROCAS).
%J Supportive care in cancer
%V 29
%N 11
%@ 1433-7339
%C New York,NY
%I Springer
%M DKFZ-2021-00858
%P 6259-6269
%D 2021
%Z #LA:C071# / 2021 Nov;29(11):6259-6269
%X Aside from urological and sexual problems, long-term (≥5 years after initial diagnosis) prostate cancer (PC) survivors might suffer from pain, fatigue, and depression. These concurrent symptoms can form a cluster. In this study, we aimed to investigate classes of this symptom cluster in long-term PC survivors, to classify PC survivors accordingly, and to explore associations between classes of this cluster and health-related quality of life (HRQoL).Six hundred fifty-three stage T1-T3N0M0 survivors were identified from the Prostate Cancer Survivorship in Switzerland (PROCAS) study. Fatigue was assessed with the EORTC QLQ-FA12, depressive symptoms with the MHI-5, and pain with the EORTC QLQ-C30 questionnaire. Latent class analysis was used to derive cluster classes. Factors associated with the derived classes were determined using multinomial logistic regression analysis.Three classes were identified: class 1 (61.4
%K Classes (Other)
%K Depression (Other)
%K Fatigue (Other)
%K Pain (Other)
%K Prostate cancer (Other)
%K Symptom cluster (Other)
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:33847829
%R 10.1007/s00520-021-06132-w
%U https://inrepo02.dkfz.de/record/168369