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Grilo CM. Treatment of Eating Disorders: Current Status, Challenges, and Future Directions. Annu Rev Clin Psychol 2024; 20:97-123. [PMID: 38211625 DOI: 10.1146/annurev-clinpsy-080822-043256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2024]
Abstract
Specific psychological treatments have demonstrated efficacy and represent the first-line approaches recommended for anorexia nervosa, bulimia nervosa, and binge-eating disorder. Unfortunately, many patients, particularly those with anorexia nervosa, do not derive sufficient benefit from existing treatments, and better or alternative treatments for eating disorders are needed. Less progress has been made in developing pharmacologic options for eating disorders. No medications approved for anorexia nervosa exist, and only one each exists for bulimia nervosa and for binge-eating disorder; available data indicate that most patients fail to benefit from available medications. Longer and combined treatments have generally not enhanced outcomes. This review presents emerging findings from more complex and clinically relevant adaptive treatment designs, as they offer some clinical guidance and may serve as models for future enhanced treatment research.
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Affiliation(s)
- Carlos M Grilo
- Department of Psychiatry and Department of Psychology, Yale University, New Haven, Connecticut, USA;
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2
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Jenkins PE, Blalock DV, Duffy A, Mehler PS, Rienecke RD. Empirical Investigation of Different Factor Structures for the Eating Disorder Examination-Questionnaire in Adult Women With Anorexia Nervosa. Assessment 2024; 31:920-932. [PMID: 37706352 DOI: 10.1177/10731911231198207] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/15/2023]
Abstract
The Eating Disorder Examination-Questionnaire (EDE-Q) is a widely used self-report measure of eating pathology. Despite widespread use, investigations of its factor structure have proved inconclusive and rarely supported the "original" interpretation. The current study evaluates several proposed factor solutions of the EDE-Q using latent variable analysis in a sample of adult women with anorexia nervosa (AN). A total of 804 patients from a specialist treatment center in the United States participated in the study. Confirmatory factor analysis was conducted on 22 EDE-Q items assessing attitudinal features of eating pathology. Findings suggested that three full-item versions (none of which was the "original" interpretation) fit the data adequately, with a brief, seven-item version showing excellent fit. The study is one of the first to examine this within a sample of women with AN and provides an empirical foundation for how best to use the EDE-Q among clinical and research participants with AN. Findings suggest that the "original" factor structure lacks structural validity in women with AN. Its use should generally be discouraged, and future work on screening and treatment outcomes might consider the EDE-Q7.
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Affiliation(s)
| | - Dan V Blalock
- Durham Veterans Affairs Medical Center, NC, USA
- Duke University Medical Center, Durham, NC, USA
| | - Alan Duffy
- Eating Recovery Center and Pathlight Mood & Anxiety Center, Denver, CO, USA
| | - Philip S Mehler
- Eating Recovery Center and Pathlight Mood & Anxiety Center, Denver, CO, USA
- ACUTE Center for Eating Disorders at Denver Health, CO, USA
- University of Colorado School of Medicine, Denver, USA
| | - Renee D Rienecke
- Eating Recovery Center and Pathlight Mood & Anxiety Center, Denver, CO, USA
- Northwestern University, Chicago, IL, USA
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Javaras KN, Franco VF, Ren B, Bulik CM, Crow SJ, McElroy SL, Pope HG, Hudson JI. The natural course of binge-eating disorder: findings from a prospective, community-based study of adults. Psychol Med 2024:1-11. [PMID: 38803271 DOI: 10.1017/s0033291724000977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
BACKGROUND Epidemiological data offer conflicting views of the natural course of binge-eating disorder (BED), with large retrospective studies suggesting a protracted course and small prospective studies suggesting a briefer duration. We thus examined changes in BED diagnostic status in a prospective, community-based study that was larger and more representative with respect to sex, age of onset, and body mass index (BMI) than prior multi-year prospective studies. METHODS Probands and relatives with current DSM-IV BED (n = 156) from a family study of BED ('baseline') were selected for follow-up at 2.5 and 5 years. Probands were required to have BMI > 25 (women) or >27 (men). Diagnostic interviews and questionnaires were administered at all timepoints. RESULTS Of participants with follow-up data (n = 137), 78.1% were female, and 11.7% and 88.3% reported identifying as Black and White, respectively. At baseline, their mean age was 47.2 years, and mean BMI was 36.1. At 2.5 (and 5) years, 61.3% (45.7%), 23.4% (32.6%), and 15.3% (21.7%) of assessed participants exhibited full, sub-threshold, and no BED, respectively. No participants displayed anorexia or bulimia nervosa at follow-up timepoints. Median time to remission (i.e. no BED) exceeded 60 months, and median time to relapse (i.e. sub-threshold or full BED) after remission was 30 months. Two classes of machine learning methods did not consistently outperform random guessing at predicting time to remission from baseline demographic and clinical variables. CONCLUSIONS Among community-based adults with higher BMI, BED improves with time, but full remission often takes many years, and relapse is common.
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Affiliation(s)
- Kristin N Javaras
- McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | | | - Boyu Ren
- McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Cynthia M Bulik
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Scott J Crow
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
- Accanto Health, Saint Paul, MN, USA
| | - Susan L McElroy
- Lindner Center of HOPE, Mason, OH, USA
- Department of Psychiatry & Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Harrison G Pope
- McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - James I Hudson
- McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
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Grilo CM, Ivezaj V, Gueorguieva R. Overvaluation of shape/weight at posttreatment predicts relapse at 12-month follow-up after successful behaviorally-based treatment of binge-eating disorder. Int J Eat Disord 2024; 57:1268-1273. [PMID: 38321617 DOI: 10.1002/eat.24141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 12/15/2023] [Accepted: 01/08/2024] [Indexed: 02/08/2024]
Abstract
OBJECTIVE To test whether overvaluation of shape/weight at the end of treatment prospectively predicts relapse at 12-month follow-up in patients with binge-eating disorder (BED). METHOD Participants were 129 patients with BED who achieved abstinence from binge eating after 6 months of behaviorally-based weight-loss treatments in a clinical trial. Independent assessments conducted at posttreatment and at 12-month follow-up included the Eating Disorder Examination interview, the Beck Depression Inventory, and weight measurements. RESULTS Of the 129 participants who attained abstinence from binge-eating at posttreatment, 46 (36%) were categorized with clinical overvaluation and 83 (64%) with subclinical overvaluation; 115 (89%) were re-assessed at 12-month follow-up. Participants with overvaluation at posttreatment were significantly more likely than those without to relapse at 12-months to non-abstinence from binge eating (54% vs. 28%) and to diagnosis-level binge-eating frequency of once weekly or greater (31% vs. 13%). Overvaluation at posttreatment predicted significantly higher eating-disorder psychopathology and depression scores at 12-month follow-up but were unrelated to weight and weight changes. Treatment groups did not have main or interaction effects; posttreatment overvaluation effects were observed regardless of treatment and of covarying for posttreatment value of dependent variables. CONCLUSIONS Our findings suggest that overvaluation of shape/weight at the end of treatment predicts relapse and heightened eating-disorder psychopathology and depression scores 1 year later in patients who achieved abstinence from binge eating with behaviorally-based treatments. Overvaluation of shape/weight has significant clinical implications and warrants consideration as a diagnostic specifier for BED as it provides important prospective prognostic information. PUBLIC SIGNIFICANCE Although effective treatments are available for binge-eating disorder, relapse following successful treatments is not uncommon. Almost nothing is known about what predicts relapse following treatments for binge-eating disorder. Our study found that overvaluation of shape/weight (i.e., body image concerns that overly impact self-worth) at posttreatment prospectively predicted relapse and higher eating-disorder psychopathology and depression 1 year later in patients who achieved binge-eating abstinence with behaviorally based treatments. CLINICALTRIALS gov registration: NCT00829283. (Treatment of obesity and binge eating: Behavioral weight loss vs. stepped care.).
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Affiliation(s)
- Carlos M Grilo
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Valentina Ivezaj
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Ralitza Gueorguieva
- Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA
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Mora-Maltas B, Lucas I, Granero R, Vintró-Alcaraz C, Miranda-Olivos R, Baenas I, Sánchez I, Jiménez-Del Toro J, Sánchez-González J, Krug I, Tapia J, Jiménez-Murcia S, Fernández-Aranda F. Cognitive flexibility and DSM-5 severity criteria for eating disorders: assessing drive for thinness and duration of illness as alternative severity variables. J Eat Disord 2023; 11:155. [PMID: 37697328 PMCID: PMC10496406 DOI: 10.1186/s40337-023-00875-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 08/22/2023] [Indexed: 09/13/2023] Open
Abstract
BACKGROUND The severity criteria for eating disorders (EDs) proposed in the DSM-5 have been established without sufficient empirical support. Drive for thinness (DT) and duration of illness have been proposed as two alternative severity measures, however their empirical evidence is also limited. To date, no research has assessed the validity of current eating disorder (ED) severity criteria regarding cognitive flexibility factors. Cognitive flexibility is often impaired in EDs, becoming a possible severity symptom. The current study assessed for the first time (1) whether the severity indexes for EDs proposed in the DSM-5 were associated with deficits in cognitive flexibility and, (2) whether drive for thinness and illness duration, acted as an alternative, more meaningful severity indices for deficiencies in cognitive flexibility. METHODS Participants were 161 patients diagnosed with an ED, who were categorized according to DSM-5 severity categories, DT and duration of illness. Discriminative capacity of each classification was assessed for cognitive flexibility measured by Wisconsin card sorting test (WCST). RESULTS The findings for the DSM-5 classification comprised: (a) In the anorexia nervosa (AN) group, patients with moderate severity showed better scores in WCST than patients with mild and severe/extreme severity. Also, patients with moderate severity showed lower percentage of cognitive flexibility deficits than the other two severity categories; (b) For the binge spectrum disorders (BSD) group, the patients with mild severity showed a higher percentage of cognitive flexibility deficits than did the moderate and severe/extreme categories. When assessing the alternative severity index of DT, no differences were found in cognitive flexibility in any of the groups. Regarding illness duration, in the AN group the task performance of the patients with longer illness duration was worse than the performance of the short duration group and, in the BSD group, patients with longer duration also showed more deficits in cognitive flexibility than the patients with shorter duration of illness. CONCLUSIONS Our findings point out the limitations of the DSM-5 severity criteria to categorize cognitive flexibility in EDs and support illness duration as an alternative severity approach for EDs.
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Affiliation(s)
- Bernat Mora-Maltas
- Clinical Psychology Unit, University Hospital Bellvitge and CIBERobn, Feixa Llarga s/n 08907 L'Hospitalet del Llobregat, Barcelona, Spain
- Psychoneurobiology of Eating and Addictive Behaviours Group, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
| | - Ignacio Lucas
- Clinical Psychology Unit, University Hospital Bellvitge and CIBERobn, Feixa Llarga s/n 08907 L'Hospitalet del Llobregat, Barcelona, Spain
- Psychoneurobiology of Eating and Addictive Behaviours Group, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Barcelona, Spain
| | - Roser Granero
- Psychoneurobiology of Eating and Addictive Behaviours Group, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Barcelona, Spain
- Departament de Psicobiologia i Metodologia, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Cristina Vintró-Alcaraz
- Clinical Psychology Unit, University Hospital Bellvitge and CIBERobn, Feixa Llarga s/n 08907 L'Hospitalet del Llobregat, Barcelona, Spain
- Psychoneurobiology of Eating and Addictive Behaviours Group, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Barcelona, Spain
| | - Romina Miranda-Olivos
- Clinical Psychology Unit, University Hospital Bellvitge and CIBERobn, Feixa Llarga s/n 08907 L'Hospitalet del Llobregat, Barcelona, Spain
- Psychoneurobiology of Eating and Addictive Behaviours Group, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Barcelona, Spain
| | - Isabel Baenas
- Clinical Psychology Unit, University Hospital Bellvitge and CIBERobn, Feixa Llarga s/n 08907 L'Hospitalet del Llobregat, Barcelona, Spain
- Psychoneurobiology of Eating and Addictive Behaviours Group, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Barcelona, Spain
| | - Isabel Sánchez
- Clinical Psychology Unit, University Hospital Bellvitge and CIBERobn, Feixa Llarga s/n 08907 L'Hospitalet del Llobregat, Barcelona, Spain
- Psychoneurobiology of Eating and Addictive Behaviours Group, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Barcelona, Spain
| | - Jessica Jiménez-Del Toro
- Clinical Psychology Unit, University Hospital Bellvitge and CIBERobn, Feixa Llarga s/n 08907 L'Hospitalet del Llobregat, Barcelona, Spain
- Psychoneurobiology of Eating and Addictive Behaviours Group, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
| | - Jéssica Sánchez-González
- Clinical Psychology Unit, University Hospital Bellvitge and CIBERobn, Feixa Llarga s/n 08907 L'Hospitalet del Llobregat, Barcelona, Spain
- Psychoneurobiology of Eating and Addictive Behaviours Group, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
| | - Isabel Krug
- Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia
| | - Javier Tapia
- Clinical Psychology Unit, University Hospital Bellvitge and CIBERobn, Feixa Llarga s/n 08907 L'Hospitalet del Llobregat, Barcelona, Spain
- Gerencia Territorial Metropolitana Sud. Hospital Universitari de Bellvitge, Barcelona, Spain
| | - Susana Jiménez-Murcia
- Clinical Psychology Unit, University Hospital Bellvitge and CIBERobn, Feixa Llarga s/n 08907 L'Hospitalet del Llobregat, Barcelona, Spain
- Psychoneurobiology of Eating and Addictive Behaviours Group, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Barcelona, Spain
- Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | - Fernando Fernández-Aranda
- Clinical Psychology Unit, University Hospital Bellvitge and CIBERobn, Feixa Llarga s/n 08907 L'Hospitalet del Llobregat, Barcelona, Spain.
- Psychoneurobiology of Eating and Addictive Behaviours Group, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain.
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Barcelona, Spain.
- Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain.
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Abstract
PURPOSE OF REVIEW Public policy efforts for prevention of and intervention upon eating disorders is severely limited in the United States due to the paucity of population-based data. This review article summarizes findings regarding eating disorders based on the National Epidemiological Studies on Alcohol and Related Conditions, Third Wave. The studies reviewed provide the most recent epidemiological indicators of anorexia nervosa, bulimia nervosa, and binge-eating disorder (BED) in the United States and demonstrate the utility of population-based data for validating the generalizability of findings from clinical samples. RECENT FINDINGS Anorexia nervosa, bulimia nervosa, and BED are widely distributed across sociodemographic characteristics, with substantially elevated risks for a variety of serious psychiatric, medical, and functional impairments, including heighted suicidality over the lifespan. Sexual minorities and individuals with adverse childhood experiences may be particularly vulnerable. Yet, many adults with eating disorders do not seek help, particularly professional help. National Epidemiological Studies on Alcohol and Related Conditions, Third Wave studies also validated some important clinical observations (e.g., overvaluation of shape/weight and physical inactivity in BED, more severe anorexia nervosa with onset prior to 14 years old). SUMMARY More rigorous population-based studies are needed to further advocate for appropriate resources and policies for eating disorders in the United States.
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Affiliation(s)
- Tomoko Udo
- Department of Health Policy, Management and Behavior
- Department of Epidemiology and Biostatistics, School of Public Health, University at Albany, Albany, New York
| | - Carlos M Grilo
- Department of Psychiatry, Yale School of Medicine, Yale University, New Haven, Connecticut, USA
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Using shape and weight overvaluation to empirically differentiate severity of other specified feeding or eating disorder. J Affect Disord 2021; 295:446-452. [PMID: 34507225 DOI: 10.1016/j.jad.2021.08.049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 07/18/2021] [Accepted: 08/21/2021] [Indexed: 11/20/2022]
Abstract
BACKGROUND Although no severity specifiers are noted in the Diagnostic and Statistical Manual of Mental Disorders - 5 for other specified feeding or eating disorder (OSFED), shape/weight overvaluation is a proposed eating disorder (ED) severity specifier. We used structural equation modeling (SEM) Trees to empirically determine values of shape/weight overvaluation that differentiate OSFED severity. We additionally tested whether the SEM Tree-defined thresholds or a clinical cutoff for shape/weight overvaluation differentiated severity more meaningfully. METHODS Participants were 690 females with OSFED presenting to residential ED treatment. SEM Tree analyses specified an outcome model of OSFED severity and then recursively partitioning the outcome model into severity groups. The SEM Tree-defined and clinical cutoff severity groups were compared on clinical characteristics. RESULTS SEM Trees identified one split that occurred at value 5.12 on our shape/weight overvaluation items from the Eating Disorder Examination Questionnaire. The subgroup with higher overvaluation had significantly greater intensity of ED and depressive symptoms and longer lengths of stay. The subgroups created from the shape/weight overvaluation clinical-cut off value of 4 differed on the same clinical characteristics as the SEM Tree-derived groups, with the exception of laxative use frequency. Effect sizes were larger for the clinical cutoff as compared to the SEM Tree severity specification scheme. LIMITATIONS These cross-sectional data were used from a predominately white and female residential treatment sample; this likely skewed the subgroups and may limit generalizability. CONCLUSIONS Shape/weight overvaluation can meaningfully differentiate OSFED severity. The clinical cutoff slightly outperformed the empirically determined thresholds for shape/weight overvaluation.
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Murray HB, Dreier MJ, Zickgraf HF, Becker KR, Breithaupt L, Eddy KT, Thomas JJ. Validation of the nine item ARFID screen (NIAS) subscales for distinguishing ARFID presentations and screening for ARFID. Int J Eat Disord 2021; 54:1782-1792. [PMID: 33884646 PMCID: PMC8492485 DOI: 10.1002/eat.23520] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 04/02/2021] [Accepted: 04/03/2021] [Indexed: 12/19/2022]
Abstract
OBJECTIVE The Nine Item Avoidant/Restrictive Food Intake Disorder (ARFID) Screen (NIAS) has three subscales aligned with ARFID presentations but clinically validated cutoff scores have not been identified. We aimed to examine NIAS subscale (picky eating, appetite, fear) validity to: (1) capture clinically-diagnosed ARFID presentations; (2) differentiate ARFID from other eating disorders (other-ED); and (3) capture ARFID symptoms among individuals with ARFID, individuals with other-ED, and nonclinical participants. METHOD Participants included outpatients (ages 10-76 years; 75% female) diagnosed with ARFID (n = 49) or other-ED (n = 77), and nonclinical participants (ages 22-68 years; 38% female, n = 40). We evaluated criterion-related concurrent validity by conducting receiver operating curve (ROC) analyses to identify potential subscale cutoffs and by testing if cutoffs could capture ARFID with and without use of the Eating Disorder Examination-Questionnaire (EDE-Q). RESULTS Each NIAS subscale had high AUC for capturing those who fit versus do not fit each ARFID presentation, resulting in proposed cutoffs of ≥10 (sensitivity = .97, specificity = .63), ≥9 (sensitivity = .86, specificity = .70), and ≥ 10 (sensitivity = .68, specificity = .89) on the NIAS-picky eating, NIAS-appetite, and NIAS-fear subscales, respectively. ARFID versus other-ED had high AUC on the NIAS-picky eating (≥10 proposed cutoff), but not NIAS-appetite or NIAS-fear subscales. NIAS subscale cutoffs had a high association with ARFID diagnosis, but only correctly classified other-ED in combination with EDE-Q Global <2.3. DISCUSSION To screen for ARFID, we recommend using a screening tool for other-ED (e.g., EDE-Q) in combination with a positive score on any NIAS subscale (i.e., ≥10, ≥9, and/or ≥10 on the NIAS-picky eating, NIAS-appetite, and NIAS-fear subscales, respectively).
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Affiliation(s)
- Helen Burton Murray
- Center for Neurointestinal Health, Gastroenterology, Massachusetts General Hospital, Boston, MA
- Eating Disorders Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Melissa J. Dreier
- Eating Disorders Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA
| | - Hana F. Zickgraf
- Department of Psychology, University of South Alabama, Mobile, AL
| | - Kendra R. Becker
- Eating Disorders Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Lauren Breithaupt
- Eating Disorders Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Kamryn T. Eddy
- Eating Disorders Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Jennifer J. Thomas
- Eating Disorders Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
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Grilo CM, Thompson-Brenner H, Shingleton RM, Thompson DR, Franko DL. Clinical moderators and predictors of cognitive-behavioral therapy by guided-self-help versus therapist-led for binge-eating disorder: Analysis of aggregated clinical trials. Int J Eat Disord 2021; 54:1875-1880. [PMID: 34472114 PMCID: PMC8492524 DOI: 10.1002/eat.23601] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 08/06/2021] [Accepted: 08/24/2021] [Indexed: 11/05/2022]
Abstract
OBJECTIVE Cognitive-behavioral therapy (CBT)-therapist-led (CBTth) and guided-self-help (CBTgsh)-has efficacy for binge-eating disorder (BED) but many patients do not benefit sufficiently. We examined predictors and moderators for these two CBT methods. METHOD Data were aggregated from randomized controlled trials (RCTs) testing psychosocial treatments for BED in the U.S. Predictors and moderators of outcomes (treatment completion and binge-eating remission) were examined in N = 457 participants who received either CBTgsh (N = 164) or CBTth (N = 293). RESULTS Analyses, adjusting for demographic/clinical variables, indicated CBTth was significantly superior to CBTgsh for treatment completion (odds ratio [OR] = 20.0) and remission (OR = 14.6). For remission, analyses revealed significant predictors (age, treatment length, Weight Concern), a moderator (weight concern [OR = 5.13]), and a significant interaction between CBT-type and treatment length (OR = 2.66). For CBTgsh, longer treatment was associated with less remission, whereas for CBTth, longer treatment was associated with greater remission. For CBTgsh, 44.1% with low weight concern versus 56.3% with high weight concern achieved remission whereas for CBTth, 43.5% with high weight concern and 61.0% with low weight concern achieved remission. DISCUSSION Analyses of aggregated RCT BED data, adjusting for demographic/clinical characteristics, indicated superiority (large effect-sizes) in treatment outcomes of CBTth over CBTgsh and that Weight Concern moderated outcomes.
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Affiliation(s)
- Carlos M. Grilo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT
| | | | | | | | - Debra L. Franko
- Department of Applied Psychology, Northeastern University, Boston, MA
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Wiss D, Brewerton T. Separating the Signal from the Noise: How Psychiatric Diagnoses Can Help Discern Food Addiction from Dietary Restraint. Nutrients 2020; 12:E2937. [PMID: 32992768 PMCID: PMC7600542 DOI: 10.3390/nu12102937] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Revised: 09/22/2020] [Accepted: 09/23/2020] [Indexed: 02/07/2023] Open
Abstract
Converging evidence from both animal and human studies have implicated hedonic eating as a driver of both binge eating and obesity. The construct of food addiction has been used to capture pathological eating across clinical and non-clinical populations. There is an ongoing debate regarding the value of a food addiction "diagnosis" among those with eating disorders such as anorexia nervosa binge/purge-type, bulimia nervosa, and binge eating disorder. Much of the food addiction research in eating disorder populations has failed to account for dietary restraint, which can increase addiction-like eating behaviors and may even lead to false positives. Some have argued that the concept of food addiction does more harm than good by encouraging restrictive approaches to eating. Others have shown that a better understanding of the food addiction model can reduce stigma associated with obesity. What is lacking in the literature is a description of a more comprehensive approach to the assessment of food addiction. This should include consideration of dietary restraint, and the presence of symptoms of other psychiatric disorders (substance use, posttraumatic stress, depressive, anxiety, attention deficit hyperactivity) to guide treatments including nutrition interventions. The purpose of this review is to help clinicians identify the symptoms of food addiction (true positives, or "the signal") from the more classic eating pathology (true negatives, or "restraint") that can potentially elevate food addiction scores (false positives, or "the noise"). Three clinical vignettes are presented, designed to aid with the assessment process, case conceptualization, and treatment strategies. The review summarizes logical steps that clinicians can take to contextualize elevated food addiction scores, even when the use of validated research instruments is not practical.
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Affiliation(s)
- David Wiss
- Department of Community Health Sciences, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA 90025, USA
| | - Timothy Brewerton
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC 29425, USA;
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