Journal Article FZJ-2021-05950

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Is there a diagnosis-specific influence of childhood trauma on later educational attainment? A machine learning analysis in a large help-seeking sample

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2021
Elsevier Science Amsterdam [u.a.]

Journal of psychiatric research 138, 591 - 597 () [10.1016/j.jpsychires.2021.04.040]

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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.

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Contributing Institute(s):
  1. Kognitive Neurowissenschaften (INM-3)
Research Program(s):
  1. 5251 - Multilevel Brain Organization and Variability (POF4-525) (POF4-525)

Appears in the scientific report 2021
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 Record created 2021-12-27, last modified 2022-02-24


Published on 2021-04-30. Available in OpenAccess from 2022-04-30.:
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