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Longitudinal and personalized networks of eating disorder cognitions and behaviors: Targets for precision intervention a proof of concept study.

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Title: Longitudinal and personalized networks of eating disorder cognitions and behaviors: Targets for precision intervention a proof of concept study.
Authors: Levinson, Cheri A., Vanzhula, Irina, Brosof, Leigh C.
Source: International Journal of Eating Disorders. Nov2018, Vol. 51 Issue 11, p1233-1243. 11p. 2 Diagrams, 3 Charts, 2 Graphs.
Subjects: Anorexia nervosa, Diagnosis of eating disorders, Treatment of eating disorders, Cognition, Eating disorders, Longitudinal method, Pathological psychology, Individualized medicine, Diagnosis
Abstract: Introduction: Despite the high mortality and significant societal and personal costs associated with eating disorders (EDs) there are few evidence‐based treatments. Part of the difficulty developing and implementing evidence‐based treatments in EDs is due to the extremely high heterogeneity (e.g., variability in treatment outcome, symptom presentation etc) present. Methods: To begin to identify specific symptom heterogeneity within persons, the current study used novel within and between group and intra‐individual network analyses to create longitudinal and within‐person networks of ED cognitions and behaviors (N = 66 individuals diagnosed with an ED). This article provides a proof of concept study for how to use between and within‐person network analyses both for the EDs and other forms of psychopathology. Results: We found that cognitions focused on desiring thinness played a likely maintaining role in ED pathology, across network type and across time. Furthermore, we showed that three individuals with the same diagnosis (anorexia nervosa) differed in which symptoms maintained the disorder. We use these participants to exemplify how to use intra‐individual network analysis to personalize treatment focused on the primary maintaining symptoms. Finally, we found that amount of time (e.g., 4 hr vs. simultaneously) impacts how symptoms maintain each other. Conclusions: These findings have implications for the development of novel personalized evidence‐based treatments for EDs, as well as implications for how the field understands how psychopathology maintains itself. These data represent a first‐step towards using intra‐individual network analyses in the ED field, as well as for hypotheses generation in future research. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Eating Disorders 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: Longitudinal and personalized networks of eating disorder cognitions and behaviors: Targets for precision intervention a proof of concept study.
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  Data: <searchLink fieldCode="AR" term="%22Levinson%2C+Cheri+A%2E%22">Levinson, Cheri A.</searchLink><br /><searchLink fieldCode="AR" term="%22Vanzhula%2C+Irina%22">Vanzhula, Irina</searchLink><br /><searchLink fieldCode="AR" term="%22Brosof%2C+Leigh+C%2E%22">Brosof, Leigh C.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Eating+Disorders%22">International Journal of Eating Disorders</searchLink>. Nov2018, Vol. 51 Issue 11, p1233-1243. 11p. 2 Diagrams, 3 Charts, 2 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Anorexia+nervosa%22">Anorexia nervosa</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnosis+of+eating+disorders%22">Diagnosis of eating disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Treatment+of+eating+disorders%22">Treatment of eating disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Cognition%22">Cognition</searchLink><br /><searchLink fieldCode="DE" term="%22Eating+disorders%22">Eating disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink><br /><searchLink fieldCode="DE" term="%22Pathological+psychology%22">Pathological psychology</searchLink><br /><searchLink fieldCode="DE" term="%22Individualized+medicine%22">Individualized medicine</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnosis%22">Diagnosis</searchLink>
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  Data: Introduction: Despite the high mortality and significant societal and personal costs associated with eating disorders (EDs) there are few evidence‐based treatments. Part of the difficulty developing and implementing evidence‐based treatments in EDs is due to the extremely high heterogeneity (e.g., variability in treatment outcome, symptom presentation etc) present. Methods: To begin to identify specific symptom heterogeneity within persons, the current study used novel within and between group and intra‐individual network analyses to create longitudinal and within‐person networks of ED cognitions and behaviors (N = 66 individuals diagnosed with an ED). This article provides a proof of concept study for how to use between and within‐person network analyses both for the EDs and other forms of psychopathology. Results: We found that cognitions focused on desiring thinness played a likely maintaining role in ED pathology, across network type and across time. Furthermore, we showed that three individuals with the same diagnosis (anorexia nervosa) differed in which symptoms maintained the disorder. We use these participants to exemplify how to use intra‐individual network analysis to personalize treatment focused on the primary maintaining symptoms. Finally, we found that amount of time (e.g., 4 hr vs. simultaneously) impacts how symptoms maintain each other. Conclusions: These findings have implications for the development of novel personalized evidence‐based treatments for EDs, as well as implications for how the field understands how psychopathology maintains itself. These data represent a first‐step towards using intra‐individual network analyses in the ED field, as well as for hypotheses generation in future research. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Eating Disorders 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/eat.22952
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      – TitleFull: Longitudinal and personalized networks of eating disorder cognitions and behaviors: Targets for precision intervention a proof of concept study.
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              Text: Nov2018
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