Predicting group cognitive-behavioral therapy outcome of binge eating disorder using empirical classification

Carol B. Peterson; Ross D. Crosby; Stephen A. Wonderlich; James E. Mitchell; Scott J. Crow; Scott Engel

doi:10.1016/j.brat.2013.05.001

Predicting group cognitive-behavioral therapy outcome of binge eating disorder using empirical classification

Carol B. Peterson, Ross D. Crosby, Stephen A. Wonderlich, James E. Mitchell, Scott J. Crow, Scott Engel

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

The purpose of this study was to use empirical classification based on Latent Profile Analysis to identify subgroups of binge eating disorder (BED) and to evaluate the extent to which these subgroups werepredictive of treatment outcome in group cognitive-behavioral therapy (CBT). The Eating Disorder Examination (EDE), Structured Clinical Interview for DSM-IV, and Inventory of Depressive Symptomatology-Self-Report were administered to 259 participants at baseline in a 15-session CBT trial (190 of whom received active treatment). The best fitting model included three profiles: dietary restraint only (DRO; n=96; 51%); low dietary restraint (LDR; n=52; 27%); and dietary restraint plus psychopathology (DRP; n=42; 22%). Regression analyses revealed that after controlling for baseline score and treatment condition, EDE Global scores were lower for the DRO compared to the LDR profile at one year follow-up (p=047). Class assignment was not predictive of EDE binge eating frequency or abstinence at end of treatment or follow-up. These results suggest that meaningful empirical classes based on eating disorder symptoms, psychopathology, dietary restraint, and BMI can be identified in BED and that these classes may be useful in predicting long-term group CBT outcome.

Original language	English (US)
Pages (from-to)	526-532
Number of pages	7
Journal	Behaviour Research and Therapy
Volume	51
Issue number	9
DOIs	https://doi.org/10.1016/j.brat.2013.05.001
State	Published - Sep 2013

Bibliographical note

Funding Information:
This study was supported by grants R01DK61912 , R01DK 61973 , and P30 DK 60456 from the National Institute of Diabetes and Digestive and Kidney Diseases , grant K02 MH65919 from the National Institute of Mental Health , and the Neuropsychiatric Research Institute . The investigators wish to express gratitude to the research staff, clinical assessors, and therapists at the University of Minnesota and the University of North Dakota/Neuropsychiatric Research Institute including Drs. Helene Keery, Christianne Lysne, Kathryn Miller, Hal Pickett, Lorraine Swan, Molly Gill Willer, Aimee Arikian, Kelly Berg, and Tricia Myers as well as Li Cao, Christine Dittel, Nora Durkin, M.A., Heather Beach, M P H, Nancy Monson, Heather Simonich, M.A., Melissa Burgard, Kevin Rittenhouse, Macey Furstenau, Lisa Chartier, Erin Venegoni, Andrew Selders, Kathy Lancaster, Shannon Bailey, Joy Johnson-Lind, M.S.W., Jodi Swanson, Traci Kalberer, Jason Hammes, Jennifer Redlin, Maria Frisch, Justin Boseck, and Deborah Roerig.

Keywords

Binge eating
Cognitive-behavioral therapy
Empirical classification
Prognosis

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10.1016/j.brat.2013.05.001

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@article{335f153244d449bfa2f13d324109e018,

title = "Predicting group cognitive-behavioral therapy outcome of binge eating disorder using empirical classification",

abstract = "The purpose of this study was to use empirical classification based on Latent Profile Analysis to identify subgroups of binge eating disorder (BED) and to evaluate the extent to which these subgroups werepredictive of treatment outcome in group cognitive-behavioral therapy (CBT). The Eating Disorder Examination (EDE), Structured Clinical Interview for DSM-IV, and Inventory of Depressive Symptomatology-Self-Report were administered to 259 participants at baseline in a 15-session CBT trial (190 of whom received active treatment). The best fitting model included three profiles: dietary restraint only (DRO; n=96; 51%); low dietary restraint (LDR; n=52; 27%); and dietary restraint plus psychopathology (DRP; n=42; 22%). Regression analyses revealed that after controlling for baseline score and treatment condition, EDE Global scores were lower for the DRO compared to the LDR profile at one year follow-up (p=047). Class assignment was not predictive of EDE binge eating frequency or abstinence at end of treatment or follow-up. These results suggest that meaningful empirical classes based on eating disorder symptoms, psychopathology, dietary restraint, and BMI can be identified in BED and that these classes may be useful in predicting long-term group CBT outcome.",

keywords = "Binge eating, Cognitive-behavioral therapy, Empirical classification, Prognosis",

author = "Peterson, {Carol B.} and Crosby, {Ross D.} and Wonderlich, {Stephen A.} and Mitchell, {James E.} and Crow, {Scott J.} and Scott Engel",

note = "Funding Information: This study was supported by grants R01DK61912 , R01DK 61973 , and P30 DK 60456 from the National Institute of Diabetes and Digestive and Kidney Diseases , grant K02 MH65919 from the National Institute of Mental Health , and the Neuropsychiatric Research Institute . The investigators wish to express gratitude to the research staff, clinical assessors, and therapists at the University of Minnesota and the University of North Dakota/Neuropsychiatric Research Institute including Drs. Helene Keery, Christianne Lysne, Kathryn Miller, Hal Pickett, Lorraine Swan, Molly Gill Willer, Aimee Arikian, Kelly Berg, and Tricia Myers as well as Li Cao, Christine Dittel, Nora Durkin, M.A., Heather Beach, M P H, Nancy Monson, Heather Simonich, M.A., Melissa Burgard, Kevin Rittenhouse, Macey Furstenau, Lisa Chartier, Erin Venegoni, Andrew Selders, Kathy Lancaster, Shannon Bailey, Joy Johnson-Lind, M.S.W., Jodi Swanson, Traci Kalberer, Jason Hammes, Jennifer Redlin, Maria Frisch, Justin Boseck, and Deborah Roerig.",

year = "2013",

month = sep,

doi = "10.1016/j.brat.2013.05.001",

language = "English (US)",

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T1 - Predicting group cognitive-behavioral therapy outcome of binge eating disorder using empirical classification

AU - Peterson, Carol B.

AU - Crosby, Ross D.

AU - Wonderlich, Stephen A.

AU - Mitchell, James E.

AU - Crow, Scott J.

AU - Engel, Scott

N1 - Funding Information: This study was supported by grants R01DK61912 , R01DK 61973 , and P30 DK 60456 from the National Institute of Diabetes and Digestive and Kidney Diseases , grant K02 MH65919 from the National Institute of Mental Health , and the Neuropsychiatric Research Institute . The investigators wish to express gratitude to the research staff, clinical assessors, and therapists at the University of Minnesota and the University of North Dakota/Neuropsychiatric Research Institute including Drs. Helene Keery, Christianne Lysne, Kathryn Miller, Hal Pickett, Lorraine Swan, Molly Gill Willer, Aimee Arikian, Kelly Berg, and Tricia Myers as well as Li Cao, Christine Dittel, Nora Durkin, M.A., Heather Beach, M P H, Nancy Monson, Heather Simonich, M.A., Melissa Burgard, Kevin Rittenhouse, Macey Furstenau, Lisa Chartier, Erin Venegoni, Andrew Selders, Kathy Lancaster, Shannon Bailey, Joy Johnson-Lind, M.S.W., Jodi Swanson, Traci Kalberer, Jason Hammes, Jennifer Redlin, Maria Frisch, Justin Boseck, and Deborah Roerig.

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N2 - The purpose of this study was to use empirical classification based on Latent Profile Analysis to identify subgroups of binge eating disorder (BED) and to evaluate the extent to which these subgroups werepredictive of treatment outcome in group cognitive-behavioral therapy (CBT). The Eating Disorder Examination (EDE), Structured Clinical Interview for DSM-IV, and Inventory of Depressive Symptomatology-Self-Report were administered to 259 participants at baseline in a 15-session CBT trial (190 of whom received active treatment). The best fitting model included three profiles: dietary restraint only (DRO; n=96; 51%); low dietary restraint (LDR; n=52; 27%); and dietary restraint plus psychopathology (DRP; n=42; 22%). Regression analyses revealed that after controlling for baseline score and treatment condition, EDE Global scores were lower for the DRO compared to the LDR profile at one year follow-up (p=047). Class assignment was not predictive of EDE binge eating frequency or abstinence at end of treatment or follow-up. These results suggest that meaningful empirical classes based on eating disorder symptoms, psychopathology, dietary restraint, and BMI can be identified in BED and that these classes may be useful in predicting long-term group CBT outcome.

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KW - Prognosis

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Predicting group cognitive-behavioral therapy outcome of binge eating disorder using empirical classification

Abstract

Bibliographical note

Keywords

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