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How etiological beliefs contribute to the structure of depression symptom networks.

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Title: How etiological beliefs contribute to the structure of depression symptom networks.
Authors: Gallagher, Michael R., Collins, Amanda C., Goldman, Sonora, Bryant, Jessica S., Winer, E. Samuel
Source: British Journal of Clinical Psychology. Sep2024, Vol. 63 Issue 3, p431-452. 22p.
Subjects: Health attitudes, Social networks, Affect (Psychology), Mental depression, Self-perception, Psychosocial factors
Abstract: Objectives: Each person possesses a unique view surrounding depressive symptomology and etiology that is shaped by idiosyncratic experiences. However, the influence that subjective etiological beliefs regarding a person's depressive symptoms have on actual symptom presentation and organization is seldom considered. Methods: The current study employed network analytic techniques to examine how subjective views surrounding the cause of depressive symptoms altered actual symptom presentation networks. Additionally, the interaction between depressive symptoms and various etiological beliefs was examined. Results: The results revealed that characterological beliefs, representing the idea that depression is caused by an internal sense of self, are strongly connected to a negative view of self, as well as a saddened mood. Additionally, the characterological beliefs node exhibited the greatest node predictability in its respective network, as well as in an omnibus network consisting of all depression symptoms and potential etiological beliefs. Whereas an achievement‐based view of depression has a strong connection with concentration difficulties, a physical view of depression tends to form strong connections with physically based depressive symptoms. Conclusion: Subjective views regarding the cause of depression have the potential to influence symptom presentation and organization within a network, which may influence a person's willingness to engage in treatment or specific treatment preferences. [ABSTRACT FROM AUTHOR]
Copyright of British 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.)
Database: Psychology and Behavioral Sciences Collection
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  Data: How etiological beliefs contribute to the structure of depression symptom networks.
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  Data: <searchLink fieldCode="AR" term="%22Gallagher%2C+Michael+R%2E%22">Gallagher, Michael R.</searchLink><br /><searchLink fieldCode="AR" term="%22Collins%2C+Amanda+C%2E%22">Collins, Amanda C.</searchLink><br /><searchLink fieldCode="AR" term="%22Goldman%2C+Sonora%22">Goldman, Sonora</searchLink><br /><searchLink fieldCode="AR" term="%22Bryant%2C+Jessica+S%2E%22">Bryant, Jessica S.</searchLink><br /><searchLink fieldCode="AR" term="%22Winer%2C+E%2E+Samuel%22">Winer, E. Samuel</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22British+Journal+of+Clinical+Psychology%22">British Journal of Clinical Psychology</searchLink>. Sep2024, Vol. 63 Issue 3, p431-452. 22p.
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  Data: <searchLink fieldCode="DE" term="%22Health+attitudes%22">Health attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Social+networks%22">Social networks</searchLink><br /><searchLink fieldCode="DE" term="%22Affect+%28Psychology%29%22">Affect (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+depression%22">Mental depression</searchLink><br /><searchLink fieldCode="DE" term="%22Self-perception%22">Self-perception</searchLink><br /><searchLink fieldCode="DE" term="%22Psychosocial+factors%22">Psychosocial factors</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Objectives: Each person possesses a unique view surrounding depressive symptomology and etiology that is shaped by idiosyncratic experiences. However, the influence that subjective etiological beliefs regarding a person's depressive symptoms have on actual symptom presentation and organization is seldom considered. Methods: The current study employed network analytic techniques to examine how subjective views surrounding the cause of depressive symptoms altered actual symptom presentation networks. Additionally, the interaction between depressive symptoms and various etiological beliefs was examined. Results: The results revealed that characterological beliefs, representing the idea that depression is caused by an internal sense of self, are strongly connected to a negative view of self, as well as a saddened mood. Additionally, the characterological beliefs node exhibited the greatest node predictability in its respective network, as well as in an omnibus network consisting of all depression symptoms and potential etiological beliefs. Whereas an achievement‐based view of depression has a strong connection with concentration difficulties, a physical view of depression tends to form strong connections with physically based depressive symptoms. Conclusion: Subjective views regarding the cause of depression have the potential to influence symptom presentation and organization within a network, which may influence a person's willingness to engage in treatment or specific treatment preferences. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of British 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: 10.1111/bjc.12476
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        Text: English
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              Text: Sep2024
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