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@ARTICLE{Haidl:904380,
      author       = {Haidl, Theresa Katharina and Gruen, Michael and Dizinger,
                      Julian and Rosen, Marlene and Doll, Carolin Martha and
                      Penzel, Nora and Daum, Lukas and Große Hokamp, Nils and
                      Klosterkötter, Joachim and Ruhrmann, Stephan and Vogeley,
                      Kai and Schultze-Lutter, Frauke and Kambeitz, Joseph},
      title        = {{I}s there a diagnosis-specific influence of childhood
                      trauma on later educational attainment? {A} machine learning
                      analysis in a large help-seeking sample},
      journal      = {Journal of psychiatric research},
      volume       = {138},
      issn         = {0022-3956},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2021-05950},
      pages        = {591 - 597},
      year         = {2021},
      abstract     = {AbstractBackground: Childhood adversities and trauma (CAT)
                      are associated with poor functional outcome.However, the
                      influence of the single CAT aspects on the risk of a poor
                      functional outcome withindifferent mental disorders has not
                      been investigated so far. Our aims were (i)to predict
                      individualfunctional outcome based on CAT (ii)to examine
                      whether the prediction power differs within
                      differentdiagnostic groups (clinical high-risk for psychosis
                      (CHR), psychosis, affective disorders, anxiety
                      disorders)(iii)to compare the specific patterns of CAT
                      experiences, influencing functional outcomes in
                      thesegroups.Method: Clinical data of 707 patients (mean
                      age:25.09 years (SD=5.6), $65.5\%$ male) of the Cologne
                      EarlyRecognition and Intervention Center were assessed with
                      the Trauma And Distress Scale. Functionaloutcome was
                      estimated by the Social and Occupational Functioning
                      Assessment Scale and schooleducational attainment. Using
                      machine learning, we generated individualized models to
                      predictfunctional outcome and to identify specific CAT
                      patterns.Results: Across the entire sample, the best
                      prediction for the functional outcome achieved a
                      balancedaccuracy (BAC) of 0.6. After splitting into the
                      single diagnostic groups, an improvement with best resultsin
                      the psychosis group (BAC=0.70) was observed. Considering
                      specific CAT patterns, the most predictiveitems depicted a
                      positive and caring environment – or the absence of these,
                      a positive self-image andexperiences of
                      bullying.Conclusions: Our results indicated that CAT was
                      differentially associated with functional outcome in
                      thevarious mental disorders. Thus, the importance of
                      mediating variables, that might explain theinterindividual
                      differences in the vulnerability to CAT, like resilience
                      factors, appeared to be crucial.},
      cin          = {INM-3},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-3-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5251},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:33992982},
      UT           = {WOS:000658540400015},
      doi          = {10.1016/j.jpsychires.2021.04.040},
      url          = {https://juser.fz-juelich.de/record/904380},
}