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@ARTICLE{Adam:168369,
      author       = {S. Adam and M. Thong$^*$ and E. Martin-Diener and B. Camey
                      and C. Egger Hayoz and I. Konzelmann and S. M. Mousavi and
                      C. Herrmann and S. Rohrmann and M. Wanner and K. Staehelin
                      and R. T. Strebel and M. Randazzo and H. John and H.-P.
                      Schmid and A. Feller and V. Arndt$^*$},
      title        = {{I}dentifying classes of the pain, fatigue, and depression
                      symptom cluster in long-term prostate cancer
                      survivors-results from the multi-regional {P}rostate
                      {C}ancer {S}urvivorship {S}tudy in {S}witzerland
                      ({PROCAS}).},
      journal      = {Supportive care in cancer},
      volume       = {29},
      number       = {11},
      issn         = {1433-7339},
      address      = {New York,NY},
      publisher    = {Springer},
      reportid     = {DKFZ-2021-00858},
      pages        = {6259-6269},
      year         = {2021},
      note         = {#LA:C071# / 2021 Nov;29(11):6259-6269},
      abstract     = {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 $(61.4\%)$ - 'low pain, low physical and emotional
                      fatigue, moderate depressive symptoms'; class 2 $(15.1\%)$ -
                      'low physical fatigue and pain, moderate emotional fatigue,
                      high depressive symptoms'; class 3 $(23.5\%)$ - high scores
                      for all symptoms. Survivors in classes 2 and 3 were more
                      likely to be physically inactive, report a history of
                      depression or some other specific comorbidity, be treated
                      with radiation therapy, and have worse HRQoL outcomes
                      compared to class 1.Three distinct classes of the pain,
                      fatigue, and depression cluster were identified, which are
                      associated with treatment, comorbidities, lifestyle factors,
                      and HRQoL outcomes. Improving classification of PC survivors
                      according to severity of multiple symptoms could assist in
                      developing interventions tailored to survivors' needs.},
      keywords     = {Classes (Other) / Depression (Other) / Fatigue (Other) /
                      Pain (Other) / Prostate cancer (Other) / Symptom cluster
                      (Other)},
      cin          = {C071},
      ddc          = {610},
      cid          = {I:(DE-He78)C071-20160331},
      pnm          = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
      pid          = {G:(DE-HGF)POF4-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:33847829},
      doi          = {10.1007/s00520-021-06132-w},
      url          = {https://inrepo02.dkfz.de/record/168369},
}