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@ARTICLE{Filser:890467,
      author       = {Filser, Melanie and Baetge, Sharon Jean and Balloff,
                      Carolin and Buchner, Axel and Fink, Gereon Rudolf and
                      Heibel, Markus and Meier, Uwe and Rau, Daniela and Renner,
                      Alina and Schreiber, Herbert and Ullrich, Sebastian and
                      Penner, Iris-Katharina},
      title        = {{M}ental symptoms in {MS} ({M}e{S}y{MS}): {D}evelopment and
                      validation of a new assessment},
      journal      = {Multiple Sclerosis and Related Disorders},
      volume       = {49},
      issn         = {2211-0348},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier},
      reportid     = {FZJ-2021-00980},
      pages        = {102744 -},
      year         = {2021},
      note         = {Kein Post-print verfügbar!},
      abstract     = {BackgroundPatients with Multiple Sclerosis (MS) have an
                      increased risk of suffering from mental and neuropsychiatric
                      symptoms. So far, a fundamental problem in the clinical care
                      of MS patients is that these symptoms are underdiagnosed
                      and, as a consequence, often remain untreated. Present
                      assessment tools have not been developed to be applied in
                      patients with MS. This study aims to develop and validate a
                      new questionnaire to identify disease-related mental
                      symptoms in MS patients.MethodsA questionnaire has been
                      developed by including the following subscales: social and
                      emotional health problems, anxiety, and depression. To
                      evaluate test quality and internal consistency, an item
                      analysis has been conducted. After matching MS patients and
                      control subjects on age and gender, we conducted group
                      comparisons, a Receiver Operating Characteristic (ROC) Curve
                      analysis and a binary logistic regression model.ResultsIn
                      total, 314 MS patients and 100 matched control subjects were
                      analysed. After performed item analysis, the questionnaire
                      revealed an excellent internal consistency. Compared to
                      control subjects, MS patients showed significant mental
                      health problems in all three dimensions. In comparison to
                      the subscales, the dimension of social and emotional health
                      problems revealed the highest accuracy (AUC = 0.75; d =
                      0.948) and turned out to be the only scale that reliably
                      differentiated between the groups.ConclusionsMeSyMS
                      constitutes a valid screening instrument to detect mental
                      symptoms in MS. Social and emotional health problems turned
                      out to be the most important aspect when identifying
                      disease-related mental health symptoms in MS.},
      cin          = {INM-3},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-3-20090406},
      pnm          = {525 - Decoding Brain Organization and Dysfunction
                      (POF4-525)},
      pid          = {G:(DE-HGF)POF4-525},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {33517174},
      UT           = {WOS:000641391200027},
      doi          = {10.1016/j.msard.2021.102744},
      url          = {https://juser.fz-juelich.de/record/890467},
}