Improvements in mentalization predict improvements in interpersonal distress in patients with mental disorders.

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Title: Improvements in mentalization predict improvements in interpersonal distress in patients with mental disorders.
Authors: Hayden, Markus C., Müllauer, Pia K., Gaugeler, Richard, Senft, Birgit, Andreas, Sylke
Source: Journal of Clinical Psychology. Dec2018, Vol. 74 Issue 12, p2276-2286. 11p. 4 Charts.
Subjects: Mental illness treatment, Psychological distress, Pathological psychology, Inpatient care, Hospital admission & discharge
Abstract: Objectives: Associations between interpersonal problems and mentalization have rarely been investigated. In this study, we explored patterns of interpersonal problems, mentalization, symptom severity, and attachment during inpatient treatment and at follow‐up. Additionally, we investigated whether mentalization predicts a decrease in interpersonal distress. Method: We analyzed time‐series data from patients with mental disorders. Data were collected at the beginning and at the end of inpatient treatment, and approximately 6 months after discharge from hospital. Results: Patterns of correlations were stable from admission to the hospital until follow‐up. Treatment significantly increased the levels of mentalization and decreased the levels of interpersonal problems and symptom severity, whereas attachment was only partially targeted. Improvements in mentalization significantly predicted reduction in interpersonal distress at each point in time. Conclusion: Results revealed characteristic patterns of interpersonal problems, mentalization, symptom severity, and attachment. Mentalization was found to play a key role in the reduction of interpersonal distress. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Clinical Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Improvements in mentalization predict improvements in interpersonal distress in patients with mental disorders.
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  Data: <searchLink fieldCode="AR" term="%22Hayden%2C+Markus+C%2E%22">Hayden, Markus C.</searchLink><br /><searchLink fieldCode="AR" term="%22Müllauer%2C+Pia+K%2E%22">Müllauer, Pia K.</searchLink><br /><searchLink fieldCode="AR" term="%22Gaugeler%2C+Richard%22">Gaugeler, Richard</searchLink><br /><searchLink fieldCode="AR" term="%22Senft%2C+Birgit%22">Senft, Birgit</searchLink><br /><searchLink fieldCode="AR" term="%22Andreas%2C+Sylke%22">Andreas, Sylke</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Clinical+Psychology%22">Journal of Clinical Psychology</searchLink>. Dec2018, Vol. 74 Issue 12, p2276-2286. 11p. 4 Charts.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Mental+illness+treatment%22">Mental illness treatment</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+distress%22">Psychological distress</searchLink><br /><searchLink fieldCode="DE" term="%22Pathological+psychology%22">Pathological psychology</searchLink><br /><searchLink fieldCode="DE" term="%22Inpatient+care%22">Inpatient care</searchLink><br /><searchLink fieldCode="DE" term="%22Hospital+admission+%26+discharge%22">Hospital admission & discharge</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Objectives: Associations between interpersonal problems and mentalization have rarely been investigated. In this study, we explored patterns of interpersonal problems, mentalization, symptom severity, and attachment during inpatient treatment and at follow‐up. Additionally, we investigated whether mentalization predicts a decrease in interpersonal distress. Method: We analyzed time‐series data from patients with mental disorders. Data were collected at the beginning and at the end of inpatient treatment, and approximately 6 months after discharge from hospital. Results: Patterns of correlations were stable from admission to the hospital until follow‐up. Treatment significantly increased the levels of mentalization and decreased the levels of interpersonal problems and symptom severity, whereas attachment was only partially targeted. Improvements in mentalization significantly predicted reduction in interpersonal distress at each point in time. Conclusion: Results revealed characteristic patterns of interpersonal problems, mentalization, symptom severity, and attachment. Mentalization was found to play a key role in the reduction of interpersonal distress. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Clinical Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/jclp.22673
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 2276
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      – SubjectFull: Mental illness treatment
        Type: general
      – SubjectFull: Psychological distress
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      – SubjectFull: Pathological psychology
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      – SubjectFull: Inpatient care
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      – SubjectFull: Hospital admission & discharge
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            NameFull: Gaugeler, Richard
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            NameFull: Andreas, Sylke
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            – D: 01
              M: 12
              Text: Dec2018
              Type: published
              Y: 2018
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