Using individual networks to identify treatment targets for eating disorder treatment: a proof-of-concept study and initial data

Plain English Summary Eating disorders are severe psychiatric illnesses that carry high mortality, morbidity, and societal and personal burden. Treatments for eating disorders only work in 50% of patients, signifying a great need to improve treatments. One reason that treatments may not work, is bec...

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Autores principales:	Cheri A. Levinson, Rowan A. Hunt, Ani C. Keshishian, Mackenzie L. Brown, Irina Vanzhula, Caroline Christian, Leigh C. Brosof, Brenna M. Williams
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Eating disorders Network analysis Personalized treatment Idiographic modeling Precision treatment Psychiatry RC435-571
Acceso en línea:	https://doaj.org/article/97584db422914cbe82d7c5daa8b5fe54
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spelling	oai:doaj.org-article:97584db422914cbe82d7c5daa8b5fe542021-11-07T12:13:41ZUsing individual networks to identify treatment targets for eating disorder treatment: a proof-of-concept study and initial data10.1186/s40337-021-00504-72050-2974https://doaj.org/article/97584db422914cbe82d7c5daa8b5fe542021-11-01T00:00:00Zhttps://doi.org/10.1186/s40337-021-00504-7https://doaj.org/toc/2050-2974Plain English Summary Eating disorders are severe psychiatric illnesses that carry high mortality, morbidity, and societal and personal burden. Treatments for eating disorders only work in 50% of patients, signifying a great need to improve treatments. One reason that treatments may not work, is because eating disorders vary substantially from one individual to the next, which existing treatments do not fully consider. The current study (N = 34 participants with an eating disorder diagnosis) uses a new modeling technique to identify which symptoms should be targeted in treatment in a personalized manner. As expected, we found that, using this modeling technique, symptoms that should be targeted in treatment vary considerably. We discuss how to use this modeling technique to identify individual treatment targets and ways in which the field can use this strategy to improve existing and create new treatments.Cheri A. LevinsonRowan A. HuntAni C. KeshishianMackenzie L. BrownIrina VanzhulaCaroline ChristianLeigh C. BrosofBrenna M. WilliamsBMCarticleEating disordersNetwork analysisPersonalized treatmentIdiographic modelingPrecision treatmentPsychiatryRC435-571ENJournal of Eating Disorders, Vol 9, Iss 1, Pp 1-18 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Eating disorders Network analysis Personalized treatment Idiographic modeling Precision treatment Psychiatry RC435-571
spellingShingle	Eating disorders Network analysis Personalized treatment Idiographic modeling Precision treatment Psychiatry RC435-571 Cheri A. Levinson Rowan A. Hunt Ani C. Keshishian Mackenzie L. Brown Irina Vanzhula Caroline Christian Leigh C. Brosof Brenna M. Williams Using individual networks to identify treatment targets for eating disorder treatment: a proof-of-concept study and initial data
description	Plain English Summary Eating disorders are severe psychiatric illnesses that carry high mortality, morbidity, and societal and personal burden. Treatments for eating disorders only work in 50% of patients, signifying a great need to improve treatments. One reason that treatments may not work, is because eating disorders vary substantially from one individual to the next, which existing treatments do not fully consider. The current study (N = 34 participants with an eating disorder diagnosis) uses a new modeling technique to identify which symptoms should be targeted in treatment in a personalized manner. As expected, we found that, using this modeling technique, symptoms that should be targeted in treatment vary considerably. We discuss how to use this modeling technique to identify individual treatment targets and ways in which the field can use this strategy to improve existing and create new treatments.
format	article
author	Cheri A. Levinson Rowan A. Hunt Ani C. Keshishian Mackenzie L. Brown Irina Vanzhula Caroline Christian Leigh C. Brosof Brenna M. Williams
author_facet	Cheri A. Levinson Rowan A. Hunt Ani C. Keshishian Mackenzie L. Brown Irina Vanzhula Caroline Christian Leigh C. Brosof Brenna M. Williams
author_sort	Cheri A. Levinson
title	Using individual networks to identify treatment targets for eating disorder treatment: a proof-of-concept study and initial data
title_short	Using individual networks to identify treatment targets for eating disorder treatment: a proof-of-concept study and initial data
title_full	Using individual networks to identify treatment targets for eating disorder treatment: a proof-of-concept study and initial data
title_fullStr	Using individual networks to identify treatment targets for eating disorder treatment: a proof-of-concept study and initial data
title_full_unstemmed	Using individual networks to identify treatment targets for eating disorder treatment: a proof-of-concept study and initial data
title_sort	using individual networks to identify treatment targets for eating disorder treatment: a proof-of-concept study and initial data
publisher	BMC
publishDate	2021
url	https://doaj.org/article/97584db422914cbe82d7c5daa8b5fe54
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Using individual networks to identify treatment targets for eating disorder treatment: a proof-of-concept study and initial data

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