Personalized networks of eating disorder symptoms predicting eating disorder outcomes and remission.
eating disorders
longitudinal modeling
network analysis
physiology
remission
Journal
The International journal of eating disorders
ISSN: 1098-108X
Titre abrégé: Int J Eat Disord
Pays: United States
ID NLM: 8111226
Informations de publication
Date de publication:
12 2020
12 2020
Historique:
received:
18
08
2020
revised:
14
10
2020
accepted:
14
10
2020
pubmed:
13
11
2020
medline:
22
5
2021
entrez:
12
11
2020
Statut:
ppublish
Résumé
Enhanced cognitive-behavioral therapy (CBT-E) is one of the primary evidence-based treatments for adults with eating disorders (EDs). However, up to 50% of individuals do not respond to CBT-E, likely because of the high heterogeneity present even within similar diagnoses. This high heterogeneity, especially in regard to presenting pathology, makes it difficult to develop a treatment based "on averages" and for clinicians to accurately pinpoint which symptoms should be targeted in treatment. As such, new models based at both the group, and individual level, are needed to more accurately refine targets for personalized evidence-based treatments that can lead to full remission. The current study (Expected N = 120 anorexia nervosa, atypical anorexia nervosa, and bulimia nervosa) will build both group and individual longitudinal models of ED behaviors, cognitions, affect, and physiology. We will collect data for 30 days utilizing a mobile application to assess behaviors, cognition, and affect and a sensor wristband that assesses physiology (heart rate, acceleration). We will also collect outcome data at 1- and 6-month follow-ups to assess ED outcomes and remission status. These data will allow for identification of "on average" and "individual" targets that maintain ED pathology and test if these targets predict outcomes, including ED remission.
Identifiants
pubmed: 33179347
doi: 10.1002/eat.23398
pmc: PMC7864225
mid: NIHMS1660771
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
2086-2094Subventions
Organisme : NIGMS NIH HHS
ID : P20 GM103436
Pays : United States
Organisme : NIMH NIH HHS
ID : R15 MH121445
Pays : United States
Informations de copyright
© 2020 Wiley Periodicals LLC.
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