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Presseller EK, Velkoff EA, Riddle DR, Liu J, Zhang F, Juarascio AS. Using Continuous Glucose Monitoring to Passively Classify Naturalistic Binge Eating and Vomiting Among Adults With Binge-Spectrum Eating Disorders: A Preliminary Investigation. Int J Eat Disord 2024. [PMID: 39031922 DOI: 10.1002/eat.24266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 07/02/2024] [Accepted: 07/02/2024] [Indexed: 07/22/2024]
Abstract
OBJECTIVE Binge eating and self-induced vomiting are common, transdiagnostic eating disorder (ED) symptoms. Efforts to understand these behaviors in research and clinical settings have historically relied on self-report measures, which may be biased and have limited ecological validity. It may be possible to passively detect binge eating and vomiting using data collected by continuous glucose monitors (CGMs; minimally invasive sensors that measure blood glucose levels), as these behaviors yield characteristic glucose responses. METHOD This study developed machine learning classification algorithms to classify binge eating and vomiting among 22 adults with binge-spectrum EDs using CGM data. Participants wore Dexcom G6 CGMs and reported eating episodes and disordered eating symptoms using ecological momentary assessment for 2 weeks. Group-level random forest models were generated to distinguish binge eating from typical eating episodes and to classify instances of vomiting. RESULTS The binge eating model had accuracy of 0.88 (95% CI: 0.83, 0.92), sensitivity of 0.56, and specificity of 0.90. The vomiting model demonstrated accuracy of 0.79 (95% CI: 0.62, 0.91), sensitivity of 0.88, and specificity of 0.71. DISCUSSION Results suggest that CGM may be a promising avenue for passively classifying binge eating and vomiting, with implications for innovative research and clinical applications.
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Affiliation(s)
- Emily K Presseller
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, Pennsylvania, USA
- Center for Weight, Eating, and Lifestyle Science, Drexel University, Philadelphia, Pennsylvania, USA
| | - Elizabeth A Velkoff
- Center for Weight, Eating, and Lifestyle Science, Drexel University, Philadelphia, Pennsylvania, USA
| | - Devyn R Riddle
- Center for Weight, Eating, and Lifestyle Science, Drexel University, Philadelphia, Pennsylvania, USA
| | - Jianyi Liu
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, Pennsylvania, USA
- Center for Weight, Eating, and Lifestyle Science, Drexel University, Philadelphia, Pennsylvania, USA
| | - Fengqing Zhang
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, Pennsylvania, USA
| | - Adrienne S Juarascio
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, Pennsylvania, USA
- Center for Weight, Eating, and Lifestyle Science, Drexel University, Philadelphia, Pennsylvania, USA
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2
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Salameh-Dakwar R, Elran-Barak R, Zahra-Zeitoun Y, Soroka G, Froylich D, Assalia A, Latzer Y. Interpersonal Characteristics and Binge Eating among Patients Pursuing Bariatric Surgery. Healthcare (Basel) 2023; 11:2836. [PMID: 37957980 PMCID: PMC10647538 DOI: 10.3390/healthcare11212836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 10/17/2023] [Accepted: 10/20/2023] [Indexed: 11/15/2023] Open
Abstract
BACKGROUND Preoperative binge eating behavior has been associated with difficulties in weight loss maintenance among patients pursuing bariatric surgery. However, limited data exists on the relationship between interpersonal difficulties and binge eating. OBJECTIVES To identify interpersonal factors linked with binge eating among bariatric surgery candidates. SETTING One hundred and seventeen adult bariatric surgery candidates (BMI = 42.2 ± 5.2) from three different hospitals completed questionnaires on the day of their bariatric committee meeting for operation approval. METHODS Binge eating was assessed using the Questionnaire on Eating and Weight Patterns-5 (QEWP-5) as a dichotomous variable. Self-esteem was measured using the Rosenberg Self-Esteem Scale (RSES), and interpersonal characteristics were evaluated using the short version of the Inventory of Interpersonal Problems (IIP-32). Sociodemographic variables (age, gender, income, education) and BMI were considered as confounders. RESULTS Approximately 25% of bariatric surgery candidates reported experiencing binge eating episodes within the previous three months. Participants with binge eating exhibited significantly lower self-esteem and more interpersonal difficulties, particularly in the domains of aggressiveness and dependence, compared to those without binge eating. Logistic regression analysis revealed that aggressiveness was a significant predictor of binge eating in this sample. CONCLUSIONS This study is the first, to the best of our knowledge, to investigate the relationship between interpersonal difficulties and binge eating among bariatric surgery candidates. The findings highlight the significant contribution of aggressiveness to binge eating and emphasize the importance of clinicians assessing patients' interpersonal functioning, particularly with regard to aggressiveness, as a factor that may contribute to the maintenance and occurrence of binge eating behaviors.
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Affiliation(s)
| | - Roni Elran-Barak
- School of Public Health, University of Haifa, Haifa 3498838, Israel
| | | | | | | | | | - Yael Latzer
- School of Public Health, University of Haifa, Haifa 3498838, Israel
- Rambam Medical Center, Haifa 3109601, Israel
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3
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Presseller EK, Karbassi N, Gian C, Juarascio AS. Unequivocally large, but not enormous: An examination of the nutritional content of objective and subjective binge-eating episodes using ecological momentary assessment data. Int J Eat Disord 2023; 56:1991-1997. [PMID: 37345531 PMCID: PMC10592441 DOI: 10.1002/eat.24016] [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: 09/29/2022] [Revised: 06/08/2023] [Accepted: 06/09/2023] [Indexed: 06/23/2023]
Abstract
OBJECTIVE This study compared the macronutrient profiles of subjective binge-eating episodes (SBEs), objective binge-eating episodes (OBEs), and typical eating episodes. METHOD Twenty-one adults with binge eating completed ecological momentary assessment of all eating episodes for 2 weeks, including detailed monitoring of food types and portions. Binge-eating episodes (N = 237) were coded as OBEs (n = 76) or SBEs (n = 161). Calories and macronutrients were computed using manufacturer information and USDA Food and Nutrient Database for Dietary Studies. Multilevel regression models compared the eating episode types on caloric and macronutrient content. RESULTS OBEs contained an average of 121.5 (95.1) g fat, 363.7 (289.1) g carbohydrates, 65.2 (38.2) g protein, 20.9 (16.4) g fiber, and 2856.2 (1869.2) calories. SBEs contained 31.6 (30.5) g fat, 76.5 (54.0) g carbohydrates, 20.5 (21.6) g protein, 5.3 (5.9) g fiber, and 695.1 (505.9) calories. Although OBEs contained significantly more calories and grams of all macronutrients than SBEs (p < .001), the macronutrient proportions of OBEs and SBEs did not differ. The proportions of carbohydrates (p = .005) and protein (p < .001) in SBEs significantly differed from typical eating episodes. DISCUSSION Our findings offer preliminary evidence that OBEs and SBEs are more comparable in macronutrient profile than typical eating episodes. PUBLIC SIGNIFICANCE STATEMENT The present study compared the calories and grams of macronutrients in objectively large binge-eating episodes, subjectively large binge-eating episodes, and typical meals and snacks. Results suggest that objectively and subjectively large binge-eating episodes demonstrate similar profiles of macronutrients, which are different from the macronutrient profile of meals and snacks. These results may help the eating disorder field better study the impact of subjectively large binge-eating episodes.
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Affiliation(s)
- Emily K Presseller
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, Pennsylvania, USA
- Center for Weight, Eating, and Lifestyle Sciences, Drexel University, Philadelphia, Pennsylvania, USA
| | - Nikoo Karbassi
- Center for Weight, Eating, and Lifestyle Sciences, Drexel University, Philadelphia, Pennsylvania, USA
| | - Christina Gian
- Center for Weight, Eating, and Lifestyle Sciences, Drexel University, Philadelphia, Pennsylvania, USA
- Nutrition Sciences Department, Drexel University, Philadelphia, Pennsylvania, USA
| | - Adrienne S Juarascio
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, Pennsylvania, USA
- Center for Weight, Eating, and Lifestyle Sciences, Drexel University, Philadelphia, Pennsylvania, USA
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4
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Burstein D, Griffen TC, Therrien K, Bendl J, Venkatesh S, Dong P, Modabbernia A, Zeng B, Mathur D, Hoffman G, Sysko R, Hildebrandt T, Voloudakis G, Roussos P. Genome-wide analysis of a model-derived binge eating disorder phenotype identifies risk loci and implicates iron metabolism. Nat Genet 2023; 55:1462-1470. [PMID: 37550530 PMCID: PMC10947608 DOI: 10.1038/s41588-023-01464-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 06/29/2023] [Indexed: 08/09/2023]
Abstract
Binge eating disorder (BED) is the most common eating disorder, yet its genetic architecture remains largely unknown. Studying BED is challenging because it is often comorbid with obesity, a common and highly polygenic trait, and it is underdiagnosed in biobank data sets. To address this limitation, we apply a supervised machine-learning approach (using 822 cases of individuals diagnosed with BED) to estimate the probability of each individual having BED based on electronic medical records from the Million Veteran Program. We perform a genome-wide association study of individuals of African (n = 77,574) and European (n = 285,138) ancestry while controlling for body mass index to identify three independent loci near the HFE, MCHR2 and LRP11 genes and suggest APOE as a risk gene for BED. We identify shared heritability between BED and several neuropsychiatric traits, and implicate iron metabolism in the pathophysiology of BED. Overall, our findings provide insights into the genetics underlying BED and suggest directions for future translational research.
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Affiliation(s)
- David Burstein
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, New York, NY, USA
| | - Trevor C Griffen
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center of Excellence in Eating and Weight Disorders, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Karen Therrien
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, New York, NY, USA
| | - Jaroslav Bendl
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sanan Venkatesh
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, New York, NY, USA
| | - Pengfei Dong
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Biao Zeng
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Deepika Mathur
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Gabriel Hoffman
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Robyn Sysko
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center of Excellence in Eating and Weight Disorders, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tom Hildebrandt
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center of Excellence in Eating and Weight Disorders, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Georgios Voloudakis
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, New York, NY, USA.
| | - Panos Roussos
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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Geary N, Asarian L, Graf G, Gobbi S, Tobler PN, Rehfeld JF, Leeners B. Increased Meal Size but Reduced Meal-Stimulated Plasma Cholecystokinin Concentrations in Women With Obesity. Endocrinology 2022; 164:6845692. [PMID: 36423205 DOI: 10.1210/endocr/bqac192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Indexed: 11/26/2022]
Abstract
To better understand the physiological basis of obesity in women, we investigated whether obesity or menstrual cycle phase affects laboratory test-meal size or meal-stimulated plasma cholecystokinin (CCK) concentration. Women with healthy weight (body mass index [BMI] of 18.5-24.9 kg/m2, N = 16) or obesity (BMI 30-39.9 kg/m2, N = 20) were tested once in the late-follicular or peri-ovulatory phase (LF/PO) and once in the mid-luteal phase (ML). Meals of ham sandwiches were offered and blood was sampled. Menstrual cycle phases were verified with participants' reports of menses and measurements of progesterone and luteinizing hormone (LH) concentrations. Women with obesity ate significantly larger meals than women with healthy weight, (mean, 711 [95% CI, 402-1013] kJ, P = 0.001, during the LF/PO and 426 [105-734] kJ, P = 0.027, larger during the ML). Women with healthy weight ate smaller meals during LF/PO than ML (decrease, 510 [192-821 kJ], P = 0.008), but women with obesity did not (decrease, 226 [-87-542] kJ, P = 0.15). CCK concentrations 18 to 30 minutes after meal onset were lower in women with obesity than in women with healthy weight during LF/PO (3.6 [3.1-4.1] vs 6.1 [4.5-7.7] pmol/L; P = 0.004), but not during ML, with a significant interaction effect (1.8 [1.2-2.4] pmol/L, P = 0.048). Women with obesity consumed larger meals than women with healthy weight but displayed reduced meal-stimulated plasma CCK concentrations. These data are consistent with the hypothesis that a defect in CCK secretion compromises satiation in obese women and contributes to the development or maintenance of obesity.
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Affiliation(s)
- Nori Geary
- Department of Psychiatry, Weill Cornell Medical College, New York, NY 10021, USA†
| | - Lori Asarian
- Institute of Veterinary Physiology, University of Zurich, 8057 Zurich, Switzerland
| | - Gwendolyn Graf
- Department of Reproductive Endocrinology, University Hospital of Zurich, 8091 Zurich, Switzerland
| | - Susanna Gobbi
- Zurich Center for Neuroeconomics, University of Zurich, 8006 Zurich, Switzerland
| | - Philippe N Tobler
- Zurich Center for Neuroeconomics, University of Zurich, 8006 Zurich, Switzerland
| | - Jens F Rehfeld
- Department of Clinical Biochemistry, Rigshospitalet, University of Copenhagen, 2100 Copenhagen, Denmark
| | - Brigitte Leeners
- Department of Reproductive Endocrinology, University Hospital of Zurich, 8091 Zurich, Switzerland
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6
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Bjorlie K, Forbush KT, Chapa DAN, Richson BN, Johnson SN, Fazzino TL. Hyper-palatable food consumption during binge-eating episodes: A comparison of intake during binge eating and restricting. Int J Eat Disord 2022; 55:688-696. [PMID: 35194821 DOI: 10.1002/eat.23692] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 02/05/2022] [Accepted: 02/07/2022] [Indexed: 11/11/2022]
Abstract
OBJECTIVE The study aim was to elucidate the degree to which hyper-palatable foods (HPF) are consumed during binge episodes compared to restricting episodes, and to test the association between HPF intake during each episode and respective episode frequency. METHOD This study was a secondary analysis of data from a larger study on eating disorders. The present sample included adults (N = 147, 83% women) diagnosed with sub-threshold (41%) or full-threshold (59%) bulimia nervosa (BN). Foods consumed during binge and restricting episodes were assessed using the Eating Pathology Symptoms Inventory-Clinician Rated Version. A standardized definition of HPF developed previously was applied to foods consumed during binge and restricting episodes. A Wilcoxon matched-pairs signed-rank test was used to test the difference between total caloric intake from HPF (KcalHPF) and percentage of caloric intake from HPF (PercHPF) during binge episodes relative to restricting episodes. Four linear regression models tested HPF intake (KcalHPF and PercHPF) during both episode types (binge and restricting) as predictors of respective episode frequency. RESULTS There was a significant difference between median KcalHPF (1846.6 vs. 279.6; Z = -13.38, p < .001) and PercHPF during binge compared to restricting episodes (95% vs. 61%; Z = -7.35, p < .001). Regression analyses demonstrated that KcalHPF during binge episodes was significantly associated with binge episode frequency (B = 0.002; p < .001), but not PercHPF (p = .287). DISCUSSION Results suggest that HPF may be primarily consumed during binge episodes among individuals with BN, and may be associated with greater binge-eating frequency. PUBLIC SIGNIFICANCE Findings from the current study support an underlying assumption of theoretical models of binge eating, suggesting that highly rewarding, hyper-palatable foods (HPF), may constitute the vast majority of energy intake during binge-eating episodes. Additionally, a substantial amount of energy intake from HPF may occur during restricting episodes among people with bulimia nervosa. Greater HPF intake during binge eating may also be associated with binge-eating severity.
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Affiliation(s)
- Kayla Bjorlie
- Department of Psychology, University of Kansas, Lawrence, Kansas, USA.,Cofrin Logan Center for Addiction Research and Treatment, University of Kansas, Lawrence, Kansas, USA
| | - Kelsie T Forbush
- Department of Psychology, University of Kansas, Lawrence, Kansas, USA
| | | | - Brianne N Richson
- Department of Psychology, University of Kansas, Lawrence, Kansas, USA
| | - Sarah N Johnson
- Department of Psychology, University of Kansas, Lawrence, Kansas, USA
| | - Tera L Fazzino
- Department of Psychology, University of Kansas, Lawrence, Kansas, USA.,Cofrin Logan Center for Addiction Research and Treatment, University of Kansas, Lawrence, Kansas, USA
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7
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Bruzas MB, Tronieri JS, Chao AM, Jones E, McAllister C, Gruber K, McCuen-Wurst C, Berkowitz RI, Wadden TA, Allison KC. Binge size and loss of control as correlates of eating behavior and psychopathology among individuals with binge eating disorder and higher weight. J Behav Med 2022; 45:603-612. [PMID: 35449358 PMCID: PMC9578031 DOI: 10.1007/s10865-022-00312-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 03/23/2022] [Indexed: 10/18/2022]
Abstract
Studies comparing individuals with loss of control (LOC) eating who do and do not have objectively large binge episodes have found that degree of LOC is more important than binge size to psychological and behavioral outcomes. However, the relative importance of these characteristics has not been investigated in a population with binge eating disorder (BED), who by definition all have objectively large binge episodes. Persons with BED and higher weight (N = 34) were enrolled in a BED treatment trial and completed the Loss of Control Over Eating Scale, the Eating Disorder Examination, and measures of eating behavior, mood, and quality of life. Body mass index (BMI) was calculated from measured height and weight. The size of the largest binge episode (measured in kilocalories) and degree of LOC were entered into multiple regression equations to determine their relationships with disordered eating symptoms, depression, quality of life, and BMI in this pilot study. Greater LOC had a stronger independent association than binge size with higher total eating psychopathology, shape dissatisfaction, hunger, food cravings and food addiction symptoms. Larger binge size had a stronger independent association than LOC with higher weight concern and lower general and social quality of life. Both characteristics were associated with higher eating concern and neither were associated with depression or BMI. Both binge size and degree of LOC are associated with important psychosocial treatment targets in patients with BED. Future research should validate the largest binge episode measurement method and replicate the present findings in a larger sample.
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Affiliation(s)
- Maija B Bruzas
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, 3535 Market Street, Suite 3029, Philadelphia, PA, 19104, USA
| | - Jena S Tronieri
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, 3535 Market Street, Suite 3029, Philadelphia, PA, 19104, USA
| | - Ariana M Chao
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, 3535 Market Street, Suite 3029, Philadelphia, PA, 19104, USA.,Department of Biobehavioral Health Sciences, University of Pennsylvania School of Nursing, Philadelphia, PA, USA
| | - Elizabeth Jones
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, 3535 Market Street, Suite 3029, Philadelphia, PA, 19104, USA
| | - Cooper McAllister
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, 3535 Market Street, Suite 3029, Philadelphia, PA, 19104, USA
| | - Kathryn Gruber
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, 3535 Market Street, Suite 3029, Philadelphia, PA, 19104, USA
| | - Courtney McCuen-Wurst
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, 3535 Market Street, Suite 3029, Philadelphia, PA, 19104, USA
| | - Robert I Berkowitz
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, 3535 Market Street, Suite 3029, Philadelphia, PA, 19104, USA.,Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Thomas A Wadden
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, 3535 Market Street, Suite 3029, Philadelphia, PA, 19104, USA
| | - Kelly C Allison
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, 3535 Market Street, Suite 3029, Philadelphia, PA, 19104, USA.
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8
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Nasser JA, Albajri E, Lanza L, Gilman A, Altayyar M, Thomopoulos D, Bruneau M. Interaction of Protein Preloads and Physical Activity on Intake of an Ultra-Processed, High Sugar/High Fat Food/Low Protein Food. Nutrients 2022; 14:nu14040884. [PMID: 35215530 PMCID: PMC8874527 DOI: 10.3390/nu14040884] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 01/31/2022] [Accepted: 02/09/2022] [Indexed: 02/01/2023] Open
Abstract
“Loss of control, LOC” eating is a major contributor to the development of obesity. Dietary protein is known to promote satiety, but little attention has been paid to the ability of protein, consumed in close proximity to snacking (20 min), to reduce the intake of ultra-processed, low-protein snack foods. We hypothesized that a high-protein preload (HP, 8 g of protein) consumed in close proximity to eating an ultra-processed snack food would reduce intake of the snack food as compared to a low-protein preload (LP, 1.2 g of protein). Two laboratory test meals were conducted, and the intake of ice cream (1.99 kcal/gram) after consuming dairy-based liquid preloads was measured. Habitual physical activity, a potential modulator of satiety, was assessed by a self-reporting questionnaire. Thirty (responders) out of 50 participants reduced their intake of ice cream after the HP preload, with a significant difference in intake observed between the responders and non-responders (−30 ± 25 and 18 ± 18 g, F (1, 49) = 54.36, p < 0.001 for responders and non-responders, respectively). Our data demonstrate that protein consumed in close proximity to ultra-processed snack food can reduce caloric intake by ~60 kcal, which could potentially reduce body weight by at least 5 pounds per year.
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Affiliation(s)
- Jennifer A. Nasser
- Department of Nutrition Sciences, Drexel University, Philadelphia, PA 19102, USA; (L.L.); (A.G.); (M.A.); (D.T.)
- Correspondence: ; Tel.: +267-359-5834; Fax: +267-359-5843
| | - Eram Albajri
- Clinical Nutrition Department, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia;
| | - Lisa Lanza
- Department of Nutrition Sciences, Drexel University, Philadelphia, PA 19102, USA; (L.L.); (A.G.); (M.A.); (D.T.)
| | - Abigail Gilman
- Department of Nutrition Sciences, Drexel University, Philadelphia, PA 19102, USA; (L.L.); (A.G.); (M.A.); (D.T.)
| | - Mansour Altayyar
- Department of Nutrition Sciences, Drexel University, Philadelphia, PA 19102, USA; (L.L.); (A.G.); (M.A.); (D.T.)
| | - Dimitra Thomopoulos
- Department of Nutrition Sciences, Drexel University, Philadelphia, PA 19102, USA; (L.L.); (A.G.); (M.A.); (D.T.)
| | - Michael Bruneau
- Department of Health Sciences, Drexel University, Philadelphia, PA 19102, USA;
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9
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Eichin KN, Georgii C, Arend AK, van Dyck Z, Blechert J. (Mouse cursor)-Tracking food decisions in binge eating disorder reveals preference for high-energy foods and a role of BMI. Appetite 2021; 170:105890. [PMID: 34953970 DOI: 10.1016/j.appet.2021.105890] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 12/18/2021] [Accepted: 12/20/2021] [Indexed: 11/02/2022]
Abstract
Binge Eating Disorder (BED) has been associated with deficits in cognitive control and decision-making. Yet, no study has yet investigated the characteristics of food choice and the involved choice conflict in this disorder. In the present study individuals with BED (N = 22) and without BED (N = 61), with a body mass index (BMI) between 21 and 44 completed 153 binary food decisions among foods varying in palatability and energy density. To assess conflict during choice we recorded computer mouse paths and reaction times. Subsequently, participants rated all foods on liking and energy content. Finally, participants completed a bogus taste test with the same foods to measure actual consumption. Predictors were modelled continuously using Bayesian mixed-effects modelling. Individuals with BED liked foods with higher energy content more and chose them more often in the choice task. Yet, actual consumption in the taste test did not differ between groups, neither regarding total consumption, nor of foods with higher energy. Mouse cursor-tracking revealed that control participants with higher BMIs showed more choice conflict than those with lower BMIs. This pattern was reversed in those with BED. The high-energy preference in ratings and food choice represent the first evidence in a controlled laboratory context for disorder-congruent food choice in BED. The fact that this was not reflected in actual consumption might have methodological implications for measuring laboratory eating behaviour. Mouse cursor-tracking gave further insights into choice processes and showed a less conflicted food choice in those with BED with higher BMI compared to those with lower BMI.
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Affiliation(s)
- Katharina Naomi Eichin
- Department of Psychology and Centre for Cognitive Neuroscience, University of Salzburg, Hellbrunner Straße 34, 5020, Salzburg, Austria.
| | - Claudio Georgii
- Department of Psychology and Centre for Cognitive Neuroscience, University of Salzburg, Hellbrunner Straße 34, 5020, Salzburg, Austria.
| | - Ann-Kathrin Arend
- Department of Psychology and Centre for Cognitive Neuroscience, University of Salzburg, Hellbrunner Straße 34, 5020, Salzburg, Austria.
| | - Zoé van Dyck
- Department of Behavioural and Cognitive Sciences, University of Luxembourg, Maison des Sciences Humaines, 11, Porte des Sciences, L-4366 Esch-sur-Alzette, Luxembourg.
| | - Jens Blechert
- Department of Psychology and Centre for Cognitive Neuroscience, University of Salzburg, Hellbrunner Straße 34, 5020, Salzburg, Austria.
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10
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Mourilhe C, Moraes CED, Veiga GD, Q da Luz F, Pompeu A, Nazar BP, Coutinho ESF, Hay P, Appolinario JC. An evaluation of binge eating characteristics in individuals with eating disorders: A systematic review and meta-analysis. Appetite 2021; 162:105176. [PMID: 33639247 DOI: 10.1016/j.appet.2021.105176] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Revised: 12/16/2020] [Accepted: 02/19/2021] [Indexed: 01/29/2023]
Abstract
The objective of this review is to provide an updated synthesis of studies in individuals with eating disorders that examined the following components of binge eating episodes (BEEs): caloric intake, episode duration, and also the association of BEE size with psychopathology. A systematic review and meta-analysis were performed following the PRISMA guidelines. Searches were conducted on PubMed, PsycINFO, Scopus, SciELO, ScienceDirect and ProQuest databases. Meta-analysis was performed using random effects models and meta-regression. Forty-three studies were included. There was a paucity of information regarding BEE in individuals with anorexia nervosa. The pooled caloric intake of participants with bulimia nervosa (BN) during BEE in laboratory studies was significantly greater in comparison to the caloric intake during BEE in clinical studies [(3070 (95%CI 2596, 3544) vs. 1789 (95%CI 1498, 2081)], respectively. In participants with binge eating disorder (BED), the pooled means were 2088 (95%CI 1819, 2358) kcal in laboratory studies and 1903 (95%CI 1622, 2184) kcal in clinical studies, with no statistically significant difference between groups. Overall, BEE had a mean duration of 37.3 min in participants with BN and 41.7 min in those with BED. We found a positive correlation between the average caloric intake and level of depression (β = 55.5; p = 0.019). BEE in individuals with BN or BED were characterized by the consumption of extremely large quantities of calories. This was mainly found in laboratory studies of individuals with BN. BEE had a mean duration of less than 1 h in individuals with BN or BED. BEE size was positively associated with depression severity. Future research should explore the relevance of binge size as a core component of binge eating in clinical samples, in males, and in pediatric populations.
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Affiliation(s)
- Carla Mourilhe
- Federal University of Rio de Janeiro, Institute of Psychiatry, Obesity and Eating Disorders Group - Av. Venceslau Brás, 71, Botafogo, CEP:22290-140, Rio de Janeiro, Brazil; Federal University of Rio de Janeiro, Institute of Nutrition Josue de Castro, Department of Social and Applied Nutrition - Av. Carlos Chagas Filho, 373 - bloco J, 2° andar - Cidade Universitária, CEP:21941-902, Rio de Janeiro, Brazil.
| | - Carlos EduardoFerreira de Moraes
- Federal University of Rio de Janeiro, Institute of Psychiatry, Obesity and Eating Disorders Group - Av. Venceslau Brás, 71, Botafogo, CEP:22290-140, Rio de Janeiro, Brazil.
| | - GloriaValeria da Veiga
- Federal University of Rio de Janeiro, Institute of Nutrition Josue de Castro, Department of Social and Applied Nutrition - Av. Carlos Chagas Filho, 373 - bloco J, 2° andar - Cidade Universitária, CEP:21941-902, Rio de Janeiro, Brazil.
| | - Felipe Q da Luz
- University of São Paulo, Faculty of Medicine, Institute of Psychiatry, Eating Disorders Program (AMBULIM), São Paulo, SP 05403-010, Brazil.
| | - Amanda Pompeu
- Federal University of Rio de Janeiro, Institute of Psychiatry, Obesity and Eating Disorders Group - Av. Venceslau Brás, 71, Botafogo, CEP:22290-140, Rio de Janeiro, Brazil.
| | - Bruno Palazzo Nazar
- Federal University of Rio de Janeiro, Institute of Psychiatry, Obesity and Eating Disorders Group - Av. Venceslau Brás, 71, Botafogo, CEP:22290-140, Rio de Janeiro, Brazil.
| | - Evandro Silva Freire Coutinho
- The State University of Rio de Janeiro, Institute of Social Medicine - R. São Francisco Xavier, 524 - Maracanã, CEP:20550-900, Rio de Janeiro, Brazil.
| | - Phillipa Hay
- Translational Health Research Institute, Western Sydney University, School of Medicine - David Pilgrim Avenue, Campbelltown, NSW 2560, Australia.
| | - Jose Carlos Appolinario
- Federal University of Rio de Janeiro, Institute of Psychiatry, Obesity and Eating Disorders Group - Av. Venceslau Brás, 71, Botafogo, CEP:22290-140, Rio de Janeiro, Brazil.
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11
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Carr MM, Grilo CM. Examining heterogeneity of binge-eating disorder using latent class analysis. J Psychiatr Res 2020; 130:194-200. [PMID: 32828025 PMCID: PMC7554082 DOI: 10.1016/j.jpsychires.2020.07.032] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 07/21/2020] [Accepted: 07/22/2020] [Indexed: 11/15/2022]
Abstract
There is significant variability in the type and severity of symptoms reported by individuals diagnosed with binge-eating disorder (BED). Using latent class analysis (LCA), the current study aimed to investigate potential sources of heterogeneity among individuals with BED. Participants were 775 treatment-seeking adults with DSM-IV-defined BED. Doctoral research clinicians reliably assessed participants for BED and associated eating-disorder psychopathology using the Structured Clinical Interview for DSM-IV Disorders and the Eating Disorder Examination (EDE) interview, measured weight and height, and participants completed a battery of self-report measures. Based on fit statistics and class interpretability, a 2-class model yielded the best overall fit to the data. The two classes were most distinct with respect to differences in body image concerns, distress about binge-eating, and depressive symptomology. Number of binge episodes were significantly different between classes, though the effect was much smaller. Body mass index was not a significant covariate in the majority of models. The results show that many of the features currently used to define BED (e.g., binge-eating frequency) are not helpful in explaining heterogeneity among individuals with BED. Instead, body image disturbances, which are not currently included as a part of the diagnostic classification system, appear to differentiate distinct subgroups of individuals with BED. Future research examining subgroups based on body image could be integral to resolving ongoing conflicting evidence related to the etiology and maintenance of BED.
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Affiliation(s)
- Meagan M. Carr
- Department of Psychiatry, Yale School of Medicine, 300
George Street New Haven CT 06511
| | - Carlos M. Grilo
- Department of Psychiatry, Yale School of Medicine, 300
George Street New Haven CT 06511,Department of Psychology, Yale University, Box 208205 New
Haven CT 06520
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12
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Mushquash AR, McGeown L, Mushquash CJ, McGrath DS. Which came first? Exploring the reciprocal relations between impulsivity and binge eating. PERSONALITY AND INDIVIDUAL DIFFERENCES 2019. [DOI: 10.1016/j.paid.2019.109538] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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13
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Jahrami H, Saif Z, Faris MAI, Levine MP. The relationship between risk of eating disorders, age, gender and body mass index in medical students: a meta-regression. Eat Weight Disord 2019; 24:169-177. [PMID: 30430465 DOI: 10.1007/s40519-018-0618-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2018] [Accepted: 11/07/2018] [Indexed: 12/20/2022] Open
Abstract
PURPOSE Age, gender and body mass index (BMI) are commonly described risk factors for the development of eating disorders. However, the magnitude of these factors (individually and together) is still not well-defined in some populations. METHODS A systematic search was performed for studies that reported the prevalence of eating disorder risk among medical students using the Eating Attitudes Test-26 (EAT-26) and age, gender and BMI as risk factors. We included studies published in English peer-reviewed journals between 1982 and 2017. A total of 14 studies were included in the analyses, and the meta-regression analyses were performed using mean age (years), gender (proportion of female subjects), and mean BMI (kg/m2) as moderators with the risk of eating disorders measured using EAT-26 as an outcome variable. Four interaction terms were created (1) age × gender (2) age × BMI (3) gender × BMI and (4) age × gender × BMI to assess if two or more independent variables simultaneously influence the outcome variable. RESULTS Utilizing the EAT-26, the pooled prevalence of at risk for eating disorders among medical students (k = 14, N = 3520) was 10.5% (95% CI 7.3-13.7%). Meta-regression model of age, gender and BMI alone revealed poor predictive capabilities. Meta-regression model of age × gender × BMI interaction revealed statistically significant results with a covariate coefficient of 0.001 and p value of 0.044. CONCLUSION Results from this sample of medical students provided evidence for the role of interactions between risk factors (e.g., age × gender × BMI) in predicting individuals at risk for eating disorders, whereas these variables individually failed to predict eating disorders. LEVEL OF EVIDENCE Level I, systematic review and meta-analysis.
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Affiliation(s)
- Haitham Jahrami
- Ministry of Health, Manama, Bahrain.,College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Bahrain
| | | | - Mo'ez Al-Islam Faris
- Department of Clinical Nutrition and Dietetics, College of Health Sciences/Sharjah Institute for Medical Research (SIMR), University of Sharjah, Sharjah, United Arab Emirates
| | - Michael P Levine
- Emeritus Professor, Department of Psychology, Kenyon College, Gambier, OH, USA.
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14
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Babbs RK, Kelliher JC, Scotellaro JL, Luttik KP, Mulligan MK, Bryant CD. Genetic differences in the behavioral organization of binge eating, conditioned food reward, and compulsive-like eating in C57BL/6J and DBA/2J strains. Physiol Behav 2018; 197:51-66. [PMID: 30261172 DOI: 10.1016/j.physbeh.2018.09.013] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Revised: 09/20/2018] [Accepted: 09/21/2018] [Indexed: 12/25/2022]
Abstract
Binge eating (BE) is a heritable symptom of eating disorders associated with anxiety, depression, malnutrition, and obesity. Genetic analysis of BE could facilitate therapeutic discovery. We used an intermittent, limited access BE paradigm involving sweetened palatable food (PF) to examine genetic differences in BE, conditioned food reward, and compulsive-like eating between C57BL/6J (B6J) and DBA/2J (D2J) inbred mouse strains. D2J mice showed a robust escalation in intake and conditioned place preference for the PF-paired side. D2J mice also showed a unique style of compulsive-like eating in the light/dark conflict test where they rapidly hoarded and consumed PF in the preferred unlit environment. BE and compulsive-like eating exhibited narrow-sense heritability estimates between 56 and 73%. To gain insight into the genetic basis, we phenotyped and genotyped a small cohort of 133 B6J × D2J-F2 mice at the peak location of three quantitative trait loci (QTL) previously identified in F2 mice for sweet taste (chromosome 4: 156 Mb), bitter taste (chromosome 6: 133 Mb) and behavioral sensitivity to drugs of abuse (chromosome 11: 50 Mb). The D2J allele on chromosome 6 was associated with greater PF intake on training days and greater compulsive-like PF intake, but only in males, suggesting that decreased bitter taste may increase BE in males. The D2J allele on chromosome 11 was associated with an increase in final PF intake and slope of escalation across days. Future studies employing larger crosses and genetic reference panels comprising B6J and D2J alleles will identify causal genes and neurobiological mechanisms.
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Affiliation(s)
- Richard K Babbs
- Laboratory of Addiction Genetics, Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine, Boston, MA 02118, United States
| | - Julia C Kelliher
- Laboratory of Addiction Genetics, Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine, Boston, MA 02118, United States
| | - Julia L Scotellaro
- Laboratory of Addiction Genetics, Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine, Boston, MA 02118, United States; Boston University Undergraduate Research Opportunity Program (UROP), United States
| | - Kimberly P Luttik
- Laboratory of Addiction Genetics, Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine, Boston, MA 02118, United States; Boston University Undergraduate Research Opportunity Program (UROP), United States
| | - Megan K Mulligan
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, United States
| | - Camron D Bryant
- Laboratory of Addiction Genetics, Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine, Boston, MA 02118, United States.
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15
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Sysko R, Steinglass J, Schebendach J, Mayer LES, Walsh BT. Rigor and reproducibility via laboratory studies of eating behavior: A focused update and conceptual review. Int J Eat Disord 2018; 51:608-616. [PMID: 30132949 DOI: 10.1002/eat.22900] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Revised: 05/11/2018] [Accepted: 05/14/2018] [Indexed: 12/25/2022]
Abstract
OBJECTIVE The eating behavior of individuals with eating disorders has been examined in laboratory settings over the last 30 years. In this focused review, we build on prior research and highlight several feeding laboratory paradigms that have successfully demonstrated quantifiable and observable behavioral disturbances, and thereby add rigor and reproducibility to the examination of disturbances of eating behavior. This review describes the measures commonly obtained via these laboratory techniques. Supporting Information Appendices with detailed information about implementation are provided to allow for the reproducible execution of these techniques across labs. METHODS/RESULTS Literature documenting the existence of objective abnormalities in eating behavior among individuals with eating disorders or in comparison to healthy controls (n > 40) is briefly summarized. These protocols, conducted across at least 17 independent labs, are sensitive and reproducible, can be used to assess subjective and physiological parameters associated with eating, and elucidate the impact of treatment. Laboratory studies from patients with eating disorders compared with healthy controls reproducibly demonstrate both that patients with Anorexia Nervosa ingest fewer calories and that individuals with Bulimia Nervosa and Binge-Eating Disorder ingest more calories when asked to binge-eat. DISCUSSION Feeding laboratory studies have the potential for quantifying the characteristic behavioral psychopathology of patients with eating disorders, and may provide a useful tool to explore the potential utility of new treatments for individuals with Anorexia Nervosa, Bulimia Nervosa, and Binge-Eating Disorder.
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Affiliation(s)
- Robyn Sysko
- Eating and Weight Disorders Program, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Joanna Steinglass
- Columbia Center for Eating Disorders, Department of Psychiatry, Columbia University of Physicians and Surgeons, New York, New York.,Eating Disorders Research Unit, New York State Psychiatric Institute, New York, New York
| | - Janet Schebendach
- Columbia Center for Eating Disorders, Department of Psychiatry, Columbia University of Physicians and Surgeons, New York, New York.,Eating Disorders Research Unit, New York State Psychiatric Institute, New York, New York
| | - Laurel E S Mayer
- Columbia Center for Eating Disorders, Department of Psychiatry, Columbia University of Physicians and Surgeons, New York, New York.,Eating Disorders Research Unit, New York State Psychiatric Institute, New York, New York
| | - B Timothy Walsh
- Columbia Center for Eating Disorders, Department of Psychiatry, Columbia University of Physicians and Surgeons, New York, New York.,Eating Disorders Research Unit, New York State Psychiatric Institute, New York, New York
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16
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Goode RW, Kalarchian MA, Craighead L, Conroy MB, Wallace J, Eack SM, Burke LE. The feasibility of a binge eating intervention in Black women with obesity. Eat Behav 2018; 29:83-90. [PMID: 29549863 PMCID: PMC5935580 DOI: 10.1016/j.eatbeh.2018.03.005] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Revised: 02/20/2018] [Accepted: 03/08/2018] [Indexed: 12/21/2022]
Abstract
INTRODUCTION U.S. Black women have the highest rates of obesity and report frequent binge eating behaviors. To our knowledge, no intervention research has aimed to treat binge eating specifically among Black women. The purpose of this study was to investigate the feasibility and preliminary effect of Appetite Awareness Treatment (AAT), an 8-week cognitive-behavioral binge eating intervention, among Black women with obesity, and who report binge eating. METHODS Participants (N = 31), had a mean (±SD) age of 48.8 ± 12.8 years, a body mass index of 33.7 ± 3.9 kg/m2, and reported at least one binge eating episode monthly over the last three months. Using a randomized controlled trial design, Black women were randomized to AAT or a wait-list control group (WAIT) group. We examined recruitment, attendance, retention, and adherence. Linear mixed models explored preliminary differences between the AAT and WAIT on the primary outcome variables of binge eating and eating self-efficacy measured at baseline and 8-weeks. RESULTS Approximately one-third of screened participants were eligible and did enroll. Participants completed 55% of homework assignments, and attended 59% of intervention sessions. Retention to AAT was 87.5%. Compared to participants in the WAIT group, AAT participants had greater decreases in binge eating scores and greater improvements in eating self-efficacy scores at the end of Week 8. CONCLUSION Results suggest that AAT is feasible among Black women with binge eating behaviors, with evidence of preliminary efficacy, providing a rationale for a trial of AAT in a larger sample of Black women.
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Affiliation(s)
- Rachel W. Goode
- Schools of Social Work and Nursing, 2117 Cathedral of Learning, Pittsburgh, PA 15260 University of Pittsburgh,School of Social Work, University of North Carolina at Chapel Hill; 325 Pittsboro Street; CB #3550; Chapel Hill, NC 27599-3550
| | - Melissa A. Kalarchian
- School of Nursing, Duquesne University; Fisher Hall, 600 Forbes Avenue, Pittsburgh, PA 15282
| | - Linda Craighead
- Department of Psychology, Emory University; 201 Dowman Drive; Atlanta, GA 30322
| | - Molly B. Conroy
- Division of General Internal Medicine, University of Utah, 30 N 1900E.; Room 9R218; Salt Lake City, Utah 84132
| | - John Wallace
- Schools of Social Work and Nursing, 2117 Cathedral of Learning, Pittsburgh, PA 15260 University of Pittsburgh
| | - Shaun M. Eack
- Schools of Social Work and Nursing, 2117 Cathedral of Learning, Pittsburgh, PA 15260 University of Pittsburgh
| | - Lora E. Burke
- Schools of Social Work and Nursing, 2117 Cathedral of Learning, Pittsburgh, PA 15260 University of Pittsburgh
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17
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Potential psychological & neural mechanisms in binge eating disorder: Implications for treatment. Clin Psychol Rev 2018; 60:32-44. [DOI: 10.1016/j.cpr.2017.12.004] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2017] [Revised: 12/13/2017] [Accepted: 12/20/2017] [Indexed: 02/08/2023]
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18
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Legenbauer T, Müller A, de Zwaan M, Fischer C, Burgmer R, Herpertz S. The Impact of Self-Reported Impulsivity on the Course of Weight Is Mediated by Disinhibited Eating. EUROPEAN EATING DISORDERS REVIEW 2017; 26:38-45. [PMID: 29067753 DOI: 10.1002/erv.2563] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2017] [Revised: 09/15/2017] [Accepted: 09/22/2017] [Indexed: 11/11/2022]
Abstract
This study investigates the impact of impulsivity and the mediating role of disinhibited eating behaviour (DEB) on weight and weight trajectories in a large data set including obese non-treatment seeking individuals (obese control, n = 138) and obese individuals who were either receiving a conventional treatment program (n = 227) or bariatric surgery (n = 123). Data was assessed one, 4 and 9 years after baseline including self-reports for impulsivity and DEB. Results suggest a significant association between impulsivity and body mass index, which is partially mediated by DEB. Longitudinally, the influence of impulsivity on the course of weight after 9 years was fully mediated by DEB in obese control but not in the treatment groups. The results indicate an interplay between impulsivity and DEB with respect to obesity. Further research is needed to clarify how the mediation works and when it exerts its effect, in order to identify those that might profit from a specific (impulsivity-reducing) training. Copyright © 2017 John Wiley & Sons, Ltd and Eating Disorders Association.
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Affiliation(s)
- Tanja Legenbauer
- LWL University Hospital for Child and Adolescent Psychiatry, Ruhr University Bochum, Hamm, Germany
| | - Astrid Müller
- Department of Psychosomatic Medicine and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Martina de Zwaan
- Department of Psychosomatic Medicine and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Charlotte Fischer
- Department of Psychosomatic Medicine and Psychotherapy, LWL-University Hospital, Ruhr University Bochum, Bochum, Germany
| | - Ramona Burgmer
- Department of Psychosomatic Medicine and Psychotherapy, LWL-University Hospital, Ruhr University Bochum, Bochum, Germany
| | - Stephan Herpertz
- Department of Psychosomatic Medicine and Psychotherapy, LWL-University Hospital, Ruhr University Bochum, Bochum, Germany
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19
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Goldschmidt AB. Are loss of control while eating and overeating valid constructs? A critical review of the literature. Obes Rev 2017; 18:412-449. [PMID: 28165655 PMCID: PMC5502406 DOI: 10.1111/obr.12491] [Citation(s) in RCA: 90] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2016] [Revised: 11/22/2016] [Accepted: 11/22/2016] [Indexed: 01/27/2023]
Abstract
BACKGROUND Binge eating is a marker of weight gain and obesity, and a hallmark feature of eating disorders. Yet its component constructs - overeating and loss of control (LOC) while eating - are poorly understood and difficult to measure. OBJECTIVE The objective of this study is to critically review the human literature concerning the validity of LOC and overeating across the age and weight spectrum. DATA SOURCES English-language articles addressing the face, convergent, discriminant and predictive validity of LOC and overeating were included. RESULTS Loss of control and overeating appear to have adequate face validity. Emerging evidence supports the convergent and predictive validity of the LOC construct, given its unique cross-sectional and prospective associations with numerous anthropometric, psychosocial and eating behaviour-related factors. Overeating may be best conceptualized as a marker of excess weight status. LIMITATIONS Binge eating constructs, particularly in the context of subjectively large episodes, are challenging to measure reliably. Few studies addressed overeating in the absence of LOC, thereby limiting conclusions about the validity of the overeating construct independent of LOC. Additional studies addressing the discriminant validity of both constructs are warranted. DISCUSSION Suggestions for future weight-related research and for appropriately defining binge eating in the eating disorders diagnostic scheme are presented.
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Affiliation(s)
- Andrea B Goldschmidt
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, The Miriam Hospital/Weight Control and Diabetes Research Center, Providence, RI, USA
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Kornstein SG, Kunovac JL, Herman BK, Culpepper L. Recognizing Binge-Eating Disorder in the Clinical Setting: A Review of the Literature. Prim Care Companion CNS Disord 2016; 18:15r01905. [PMID: 27733955 DOI: 10.4088/pcc.15r01905] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2015] [Accepted: 01/29/2016] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE Review the clinical skills needed to recognize, diagnose, and manage binge-eating disorder (BED) in a primary care setting. DATA SOURCES A PubMed search of English-language publications (January 1, 2008-December 11, 2014) was conducted using the term binge-eating disorder. Relevant articles known to the authors were also included. STUDY SELECTION/DATA EXTRACTION Publications focusing on preclinical topics (eg, characterization of receptors and neurotransmitter systems) without discussing clinical relevance were excluded. A total of 101 publications were included in this review. RESULTS Although BED is the most prevalent eating disorder, it is underdiagnosed and undertreated. BED can be associated with medical (eg, type 2 diabetes and metabolic syndrome) and psychiatric (eg, depression and anxiety) comorbidities that, if left untreated, can impair quality of life and functionality. Primary care physicians may find diagnosing and treating BED challenging because of insufficient knowledge of its new diagnostic criteria and available treatment options. Furthermore, individuals with BED may be reluctant to seek treatment because of shame, embarrassment, and a lack of awareness of the disorder. Several short assessment tools are available to screen for BED in primary care settings. Pharmacotherapy and psychotherapy should focus on reducing binge-eating behavior, thereby reducing medical and psychiatric complications. CONCLUSIONS Overcoming primary care physician- and patient-related barriers is critical to accurately diagnose and appropriately treat BED. Primary care physicians should take an active role in the initial recognition and assessment of suspected BED based on case-finding indicators (eg, eating habits and being overweight), the initial treatment selection, and the long-term follow-up of patients who meet DSM-5 BED diagnostic criteria.
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Affiliation(s)
- Susan G Kornstein
- Department of Psychiatry and Institute for Women's Health, Virginia Commonwealth University, Richmond, Virginia
| | | | | | - Larry Culpepper
- Department of Family Medicine, Boston University School of Medicine, Boston, Massachusetts
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Wilfley DE, Citrome L, Herman BK. Characteristics of binge eating disorder in relation to diagnostic criteria. Neuropsychiatr Dis Treat 2016; 12:2213-23. [PMID: 27621631 PMCID: PMC5010172 DOI: 10.2147/ndt.s107777] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
The objective of this review was to examine the evidentiary basis for binge eating disorder (BED) with reference to the Diagnostic and Statistical Manual of Mental Disorders - Fifth Edition (DSM-5) diagnostic criteria for BED. A PubMed search restricted to titles and abstracts of English-language reviews, meta-analyses, clinical trials, randomized controlled trials, journal articles, and letters using human participants was conducted on August 7, 2015, using keywords that included "binge eating disorder," DSM-5, DSM-IV, guilt, shame, embarrassment, quantity, psychological, behavior, and "shape and weight concerns." Of the 257 retrieved publications, 60 publications were considered relevant to discussions related to DSM-5 diagnostic criteria and were included in the current review, and 20 additional references were also included on the basis of the authors' knowledge and/or on a review of the reference lists from relevant articles obtained through the literature search. Evidence supports the duration/frequency criterion for BED and the primary importance of loss of control and marked distress in identifying individuals with BED. Although overvaluation of shape/weight is not a diagnostic criterion, its relationship to the severity of BED psychopathology may identify a unique subset of individuals with BED. Additionally, individuals with BED often exhibit a clinical profile consisting of psychiatric (eg, mood, obsessive-compulsive, and impulsive disorders) and medical (eg, gastrointestinal symptoms, metabolic syndrome, and type 2 diabetes) comorbidities and behavioral profiles (eg, overconsumption of calories outside of a binge eating episode and emotional eating). Future revisions of the BED diagnostic criteria should consider the inclusion of BED subtypes, perhaps based on the overvaluation of shape/weight, and an evidence-based reassessment of severity criteria.
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Affiliation(s)
- Denise E Wilfley
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO
| | - Leslie Citrome
- Department of Psychiatry & Behavioral Sciences, New York Medical College, Valhalla, NY
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Goldschmidt AB, Loth KA, MacLehose RF, Pisetsky EM, Berge JM, Neumark-Sztainer D. Overeating with and without loss of control: Associations with weight status, weight-related characteristics, and psychosocial health. Int J Eat Disord 2015; 48:1150-7. [PMID: 26368333 PMCID: PMC4715663 DOI: 10.1002/eat.22465] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/30/2015] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The relative importance of loss of control and overeating in the relationship between binge eating and eating-related and general psychopathology has been debated in the literature. This study assessed the prevalence and correlates of overeating with and without loss of control within a diverse, population-based sample of adolescents. METHOD A highly diverse (81.1% non-White) sample of adolescents (n = 2,793) from EAT-2010 (Eating and Activity in Teens) completed self-report questionnaires assessing eating-related psychopathology, substance use, nonsuicidal self-injury, depressive symptoms, and self-esteem. RESULTS Overeating without loss of control was reported by 6.9% of girls and 5.0% of boys, while 9.6% of girls and 6.3% of boys reported overeating with loss of control (binge eating). Overall, overeating (with or without loss of control) was positively associated with unhealthy or extreme weight control behaviors, dieting, nonsuicidal self-injury, lower body satisfaction, and self-esteem, and higher depressive symptoms relative to no overeating. Among girls, binge eating was associated with unhealthy or extreme weight control behaviors, lower self-esteem, and higher depressive symptoms relative to overeating without loss of control, while in boys, binge eating was associated with greater cigarette usage, lower body satisfaction, and greater depressive symptoms than overeating without loss of control (although cigarette usage was comparable in boys reporting binge eating and no overeating). DISCUSSION Any overeating, with or without loss of control, was associated with multiple adverse correlates among adolescents. Loss of control was uniquely associated with multiple health indicators, further highlighting its importance as a marker of severity of overeating.
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Affiliation(s)
- Andrea B. Goldschmidt
- Department of Psychiatry and Behavioral Neuroscience, The University of Chicago, Chicago, Illinois
| | - Katie A. Loth
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota,Department of Psychiatry, University of Minnesota, Minneapolis, Minnesota
| | - Richard F. MacLehose
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota
| | - Emily M. Pisetsky
- Department of Psychiatry, University of Minnesota, Minneapolis, Minnesota
| | - Jerica M. Berge
- Department of Family Medicine and Community Health, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Dianne Neumark-Sztainer
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota,Division of Adolescent Health and Medicine, Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota
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Abstract
Binge eating disorder (BED), now recognized as a distinct eating disorder in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, is the most prevalent eating disorder. Although nearly half of individuals with BED are obese, BED also occurs in nonobese individuals. Despite the relatively high percentage of weight loss treatment-seeking individuals meeting BED criteria, primary care physicians may not be familiar with or have ever diagnosed BED. Many providers may also have difficulty distinguishing BED as a contributory factor in obesity. This review differentiates BED from other causes of obesity by describing how obese individuals with BED differ from obese individuals without BED and from nonobese individuals with BED in areas including psychopathology, behavior, genetics, physiology, quality of life and productivity. The ways in which health-care providers can identify individuals who may have BED are also highlighted so the proper course of treatment is pursued. Overall, obese individuals with BED demonstrate a number of key characteristics that differentiate them from obese individuals without eating disorders, including increased impulsivity in response to food stimuli with loss of control over eating, resulting in the consumption of more calories. They also experience significant guilt and other negative emotions following a meal. In addition, individuals with BED patients have more psychiatric comorbidity, display more psychopathology, exhibit longer binge durations, consume more meals as snacks during the day and have less dietary restraint compared with individuals with BED who are not obese. However, the differences between individuals with BED who are obese versus not obese are not as prominent. Taken together, the evidence appears to support the conclusion that BED is a unique and treatable neurobehavioral disorder associated with distinct behavioral and psychological profiles and distinct medical and functional outcomes, and that it is not merely a subtype of obesity.
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Affiliation(s)
- C Brendan Montano
- a Connecticut Clinical Research Center, Private Practice, Internal Medicine , Cromwell , CT , USA
| | - Natalie L Rasgon
- b Department of Psychiatry and Behavioral Sciences , Stanford University School of Medicine , Stanford , CA , USA
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Mama SK, Schembre SM, O'Connor DP, Kaplan CD, Bode S, Lee RE. Effectiveness of lifestyle interventions to reduce binge eating symptoms in African American and Hispanic women. Appetite 2015; 95:269-74. [PMID: 26188275 DOI: 10.1016/j.appet.2015.07.015] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2014] [Revised: 07/09/2015] [Accepted: 07/14/2015] [Indexed: 10/23/2022]
Abstract
OBJECTIVE Lifestyle interventions that promote physical activity and healthy dietary habits may reduce binge eating symptoms and be more feasible and sustainable among ethnic minority women, who are less likely to seek clinical treatment for eating disorders. The purpose of this study was to investigate (1) whether participating in a lifestyle intervention is a feasible way to decrease binge eating symptoms (BES) and (2) whether changes in BES differed by intervention (physical activity vs. dietary habits) and binge eating status at baseline (binger eater vs. non-binge eater) in African American and Hispanic women. METHOD Health Is Power (HIP) was a longitudinal randomized controlled trial to promote physical activity and improve dietary habits. Women (N = 180) who completed anthropometric measures and questionnaires assessing fruit and vegetable and dietary fat intake, BES and demographics at baseline and post-intervention six months later were included in the current study. RESULTS Over one-fourth (27.8%) of participants were categorized as binge-eaters. Repeated measures ANOVA demonstrated significant two- and three-way interactions. Decreases in BES over time were greater in binge eaters than in non-binge eaters (F(1,164) = 33.253, p < .001), and women classified as binge eaters who participated in the physical activity intervention reported greater decreases in BES than non-binge eaters in the dietary habits intervention (F(1,157) = 5.170, p = .024). DISCUSSION Findings suggest behavioral interventions to increase physical activity may lead to reductions in BES among ethnic minority women and ultimately reduce the prevalence of binge eating disorder and health disparities in this population.
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Affiliation(s)
- Scherezade K Mama
- Department of Health Disparities Research, The University of Texas MD Anderson Cancer Center, 1400 Pressler St., Unit 1440, Houston, TX 77030-3906, USA; Texas Obesity Research Center, Department of Health and Human Performance, University of Houston, 3855 Holman St., Garrison Gym Rm 104, Houston, TX 77204-6015, USA.
| | - Susan M Schembre
- Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, 1155 Pressler St., Unit 1330, Houston, TX 77030, USA.
| | - Daniel P O'Connor
- Texas Obesity Research Center, Department of Health and Human Performance, University of Houston, 3855 Holman St., Garrison Gym Rm 104, Houston, TX 77204-6015, USA.
| | - Charles D Kaplan
- Hamovitch Center for Science in the Human Services, School of Social Work, University of Southern California, 669 W. 34th Street, Montgomery Ross Fisher Building, Los Angeles, CA 90089-0411, USA.
| | - Sharon Bode
- Texas Obesity Research Center, Department of Health and Human Performance, University of Houston, 3855 Holman St., Garrison Gym Rm 104, Houston, TX 77204-6015, USA.
| | - Rebecca E Lee
- College of Nursing and Health Innovation, Arizona State University, 550 N. 3rd,St., Phoenix, AZ 85004, USA.
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Fuller-Tyszkiewicz M, Richardson B, Skouteris H, Austin D, Castle D, Busija L, Klein B, Holmes M, Broadbent J. Optimizing prediction of binge eating episodes: a comparison approach to test alternative conceptualizations of the affect regulation model. J Eat Disord 2014; 2:28. [PMID: 25254111 PMCID: PMC4172954 DOI: 10.1186/s40337-014-0028-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2014] [Accepted: 09/09/2014] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Although a wealth of studies have tested the link between negative mood states and likelihood of a subsequent binge eating episode, the assumption that this relationship follows a typical linear dose-response pattern (i.e., that risk of a binge episode increases in proportion to level of negative mood) has not been challenged. The present study demonstrates the applicability of an alternative, non-linear conceptualization of this relationship, in which the strength of association between negative mood and probability of a binge episode increases above a threshold value for the mood variable relative to the slope below this threshold value (threshold dose response model). METHODS A sample of 93 women aged 18 to 40 completed an online survey at random intervals seven times per day for a period of one week. Participants self-reported their current mood state and whether they had recently engaged in an eating episode symptomatic of a binge. RESULTS As hypothesized, the threshold approach was a better predictor than the linear dose-response modeling of likelihood of a binge episode. The superiority of the threshold approach was found even at low levels of negative mood (3 out of 10, with higher scores reflecting more negative mood). Additionally, severity of negative mood beyond this threshold value appears to be useful for predicting time to onset of a binge episode. CONCLUSIONS Present findings suggest that simple dose-response formulations for the association between negative mood and onset of binge episodes miss vital aspects of this relationship. Most notably, the impact of mood on binge eating appears to depend on whether a threshold value of negative mood has been breached, and elevation in mood beyond this point may be useful for clinicians and researchers to identify time to onset.
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Affiliation(s)
| | - Ben Richardson
- />School of Psychology, Deakin University, 221 Burwood Highway, Burwood, VIC 3125 Australia
| | - Helen Skouteris
- />School of Psychology, Deakin University, 221 Burwood Highway, Burwood, VIC 3125 Australia
| | - David Austin
- />School of Psychology, Deakin University, 221 Burwood Highway, Burwood, VIC 3125 Australia
| | - David Castle
- />Psychiatry Department, University of Melbourne, Melbourne, VIC Australia
- />St Vincent’s Hospital, Melbourne, VIC Australia
| | - Lucy Busija
- />Faculty of Health, Deakin University, Burwood, Australia
| | - Britt Klein
- />DVC-Research & Innovation Portfolio; the School of Health Sciences; and the Collaborative Research Network, Federation University, Ballarat, Australia
- />National Institute for Mental Health Research, The Australian National University, Canberra, Australia
| | - Millicent Holmes
- />School of Psychology, Deakin University, 221 Burwood Highway, Burwood, VIC 3125 Australia
| | - Jaclyn Broadbent
- />School of Psychology, Deakin University, 221 Burwood Highway, Burwood, VIC 3125 Australia
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Abstract
OBJECTIVE The context of eating episodes in obesity is poorly understood. This study examined emotional, physiological, and environmental correlates of pathological and nonpathological eating episodes in a heterogeneous sample of obese adults. METHODS Community-based participants (n = 50; 84% female [n = 42]; mean [standard deviation] body mass index = 40.3 [8.5]; mean [standard deviation] age = 43.0 [11.9]) recorded all eating episodes and their emotional, physiological, and environmental correlates via ecological momentary assessment for 2 weeks. Generalized estimating equations examined relations between these variables and eating episodes characterized by both self-identified loss of control (LOC) while eating and overeating (binge eating; BE), LOC only, overeating only (OE), and neither LOC nor OE (nonpathological eating). RESULTS Episodes involving loss of control (BE and LOC) were associated with heightened preepisode and postepisode negative effects (Wald χ range, 15.67-24.39; p values < .001), whereas those involving overeating (BE and OE) were associated with the lowest preepisode and postepisode hunger (Wald χ range, 18.14-39.75; p values <.001). LOC episodes were followed by heightened postepisode cravings (Wald χ = 25.87; p < .001) and were most likely to occur when participants were alone (Wald χ = 13.20; p = .004). CONCLUSION BE and LOC eating were more consistently associated with emotional and physiological cues than OE and nonpathological eating, whereas most environmental variables did not differ among eating episode types. Results support distinctions among the different constructs characterizing aberrant eating and may be used to inform interventions for obesity and related eating pathology.
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27
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A history of the identification of the characteristic eating disturbances of Bulimia Nervosa, Binge Eating Disorder and Anorexia Nervosa. Appetite 2013; 71:445-8. [DOI: 10.1016/j.appet.2013.06.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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28
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Schreiber-Gregory DN, Lavender JM, Engel SG, Wonderlich SA, Crosby RD, Peterson CB, Simonich H, Crow S, Durkin N, Mitchell JE. Examining duration of binge eating episodes in binge eating disorder. Int J Eat Disord 2013; 46:810-4. [PMID: 23881639 PMCID: PMC3889648 DOI: 10.1002/eat.22164] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/13/2013] [Indexed: 11/10/2022]
Abstract
OBJECTIVE The primary goal of this article is to examine and clarify characteristics of binge eating in individuals with binge eating disorder (BED), particularly the duration of binge eating episodes, as well as potential differences between individuals with shorter compared to longer binge eating episodes. METHOD Two studies exploring binge eating characteristics in BED were conducted. Study 1 examined differences in clinical variables among individuals (N = 139) with BED who reported a short (<2 h) versus long (≥ 2 h) average binge duration. Study 2 utilized an ecological momentary assessment design to examine the duration and temporal pattern of binge eating episodes in the natural environment in a separate sample of nine women with BED. RESULTS Participants in Study 1 who were classified as having long duration binge eating episodes displayed greater symptoms of depression and lower self-esteem, but did not differ on other measures of eating disorder symptoms, compared to those with short duration binge eating episodes. In Study 2, the average binge episode duration was approximately 42 min, and binge eating episodes were most common during the early afternoon and evening hours, as well as more common on weekdays versus weekends. DISCUSSION Past research on binge episode characteristics, particularly duration, has been limited to studies of binge eating episodes in bulimia nervosa. This study contributes to the existing literature on characteristics of binge eating in BED.
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Affiliation(s)
- Deanna N. Schreiber-Gregory
- North Dakota State University, Fargo, North Dakota,Correspondence concerning this research article should be sent to:
| | | | - Scott G. Engel
- Neuropsychiatric Research Institute, Fargo, North Dakota,University of North Dakota School of Medicine and Heath Sciences, Department of Clinical Neuroscience, Fargo, North Dakota
| | - Steve A. Wonderlich
- Neuropsychiatric Research Institute, Fargo, North Dakota,University of North Dakota School of Medicine and Heath Sciences, Department of Clinical Neuroscience, Fargo, North Dakota
| | - Ross D. Crosby
- Neuropsychiatric Research Institute, Fargo, North Dakota,University of North Dakota School of Medicine and Heath Sciences, Department of Clinical Neuroscience, Fargo, North Dakota
| | - Carol B. Peterson
- University of Minnesota, Department of Psychiatry, Minneapolis, Minnesota
| | | | - Scott Crow
- University of Minnesota, Department of Psychiatry, Minneapolis, Minnesota
| | - Nora Durkin
- University of Minnesota, Department of Psychiatry, Minneapolis, Minnesota
| | - James E. Mitchell
- Neuropsychiatric Research Institute, Fargo, North Dakota,University of North Dakota School of Medicine and Heath Sciences, Department of Clinical Neuroscience, Fargo, North Dakota
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Bartholome LT, Peterson RE, Raatz SK, Raymond NC. A comparison of the accuracy of self-reported intake with measured intake of a laboratory overeating episode in overweight and obese women with and without binge eating disorder. Eur J Nutr 2013; 52:193-202. [PMID: 22302613 DOI: 10.1007/s00394-012-0302-z] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2011] [Accepted: 01/10/2012] [Indexed: 11/27/2022]
Abstract
PURPOSE Research has demonstrated significant underreporting of food intake in obese individuals with and without binge eating disorder (BED). An improved understanding of the accuracy of self-reported food intake is central to diagnosis of eating disorders and monitoring response to treatment. The purpose was to: (1) confirm those with BED consume significantly more kilocalories (kcal) than overweight/obese controls when instructed to overeat in the laboratory and (2) compare dietary recall data with measured intake. METHODS Fifteen women fulfilling BED criteria and 17 controls participated in an overeating episode and completed a 24-h dietary recall. RESULTS BED participants consumed significantly more kilocalories according to both methodologies. The BED group self-reported 90% of the measured intake compared to 98% for the control group. Mean differences between the methods indicated that on average both groups underreported intake; however, the mean difference between methods was significantly greater in the BED group. CONCLUSIONS Findings confirm that those with BED consume significantly more than controls during a laboratory binge and controls tended to be more accurate in recalling their intake 24 h later.
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Affiliation(s)
- Lindsay T Bartholome
- Department of Psychiatry, University of Minnesota Medical School, F282/2A West, 2450 Riverside Avenue, Minneapolis, MN 55454, USA
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Adamus-Leach HJ, Wilson PL, O'Connor DP, Rhode PC, Mama SK, Lee RE. Depression, stress and body fat are associated with binge eating in a community sample of African American and Hispanic women. Eat Weight Disord 2013; 18:221-7. [PMID: 23760851 PMCID: PMC3786432 DOI: 10.1007/s40519-013-0021-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2012] [Accepted: 10/22/2012] [Indexed: 01/22/2023] Open
Abstract
OBJECTIVE The purpose of this study was to examine the relationships among depressive symptoms, stress and severity of binge eating symptoms in a community sample of African American and Hispanic or Latina women. METHOD Women (African American, n = 127; Hispanic or Latina, n = 44) completed measures of body composition, stress, depression, and binge eating. RESULTS Scores on a depressive symptom scale indicated that 24.0 % of participants exhibited clinically significant levels of depressive symptoms. Mean binge eating scores were below the threshold for clinically diagnosed binge eating (12.99 ± 7.90). Mean stressful event scores were 25.86 ± 14.26 and the average stress impact score was 78.36 ± 55.43. Linear regression models found that body composition, stress impact score, and being classified as having clinically significant levels of depression were associated with severity of binge eating symptoms. CONCLUSION Higher levels of percent body fat, a CES-D score ≥16 and higher WSI-Impact scores were associated with greater severity of binge eating symptoms.
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Affiliation(s)
- Heather J Adamus-Leach
- Department of Health and Human Performance, Texas Obesity Research Center, University of Houston, 3855 Holman Street, Garrison Gymnasium Rm 104, Houston, TX, 77204-6015, USA
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Schag K, Schönleber J, Teufel M, Zipfel S, Giel KE. Food-related impulsivity in obesity and binge eating disorder--a systematic review. Obes Rev 2013; 14:477-95. [PMID: 23331770 DOI: 10.1111/obr.12017] [Citation(s) in RCA: 268] [Impact Index Per Article: 24.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2012] [Revised: 12/06/2012] [Accepted: 12/11/2012] [Indexed: 12/17/2022]
Abstract
Impulsivity towards food has been recognized as a potential factor leading to increased food intake in obesity. Patients suffering from binge eating disorder (BED) form a specific subgroup of obese people that might be characterized by increased impulsivity. These assumptions, although, have yet to be verified. Therefore, this review evaluates evidence for food-related impulsivity in obese people with and without BED and examines possible differences between both populations. More precisely, evidence for the two components of impulsivity is analyzed separately: evidence for reward sensitivity, specifically, the urge for appetitive stimuli and evidence for rash-spontaneous behaviour such as acting disinhibited with no regard for the consequences. Our search resulted in 51 articles demonstrating generally increased food-related impulsivity. We found particular emphasis on increased reward sensitivity in obese people, which appeared to be more pronounced in people with BED. There was little and conflicting evidence, however, concerning increased rash-spontaneous behaviour in obese people without BED, but consistent evidence of an increase in obese people with BED. All in all, the evidence supports the view that BED represents a specific phenotype of obesity with increased food-related impulsivity. Taking these specific deficits into account can enhance the effectiveness of weight reduction programmes and psychotherapy.
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Affiliation(s)
- K Schag
- Department of Psychosomatic Medicine and Psychotherapy, University of Tübingen, Tübingen, Germany.
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Heaner MK, Walsh BT. A history of the identification of the characteristic eating disturbances of Bulimia Nervosa, Binge Eating Disorder and Anorexia Nervosa. Appetite 2013; 65:185-8. [DOI: 10.1016/j.appet.2013.01.005] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2012] [Revised: 12/19/2012] [Accepted: 01/14/2013] [Indexed: 10/27/2022]
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Pollert GA, Engel SG, Schreiber-Gregory DN, Crosby RD, Cao L, Wonderlich SA, Tanofsky-Kraff M, Mitchell JE. The role of eating and emotion in binge eating disorder and loss of control eating. Int J Eat Disord 2013; 46:233-8. [PMID: 23109227 PMCID: PMC3570734 DOI: 10.1002/eat.22061] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/26/2012] [Indexed: 11/07/2022]
Abstract
OBJECTIVE Binge eating, defined as the consumption of large amounts of food during which a sense of loss of control (LOC) is experienced, is associated with negative affect. However, there are no data on the experience of LOC after accounting for the effects of negative affect and caloric intake. METHOD Nine adult patients with binge eating disorder (BED) and 13 obese nonbinge eating disorder (NBED) participants carried a palmtop computer for 7 days, rating momentary mood and sense of LOC multiple times each day. Electronic food logs were collected once daily. RESULTS After removing the effects of caloric intake and negative affect, a significant group difference was observed for ratings of LOC between BED and NBED participants. DISCUSSION These findings suggest the experience of LOC in adults with BED is a salient feature of binge episodes, beyond that explained by caloric intake and momentary affect.
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Lardeux S, Kim JJ, Nicola SM. Intermittent access to sweet high-fat liquid induces increased palatability and motivation to consume in a rat model of binge consumption. Physiol Behav 2013; 114-115:21-31. [PMID: 23499930 DOI: 10.1016/j.physbeh.2013.03.005] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2012] [Revised: 01/16/2013] [Accepted: 03/05/2013] [Indexed: 12/16/2022]
Abstract
Binge eating disorders are characterized by discrete episodes of rapid and excessive food consumption. In rats, giving intermittent access to sweet fat food mimics this aspect of binge eating. These models typically employ solid food; however, the total amount consumed depends on motivation, palatability and satiety, which are difficult to dissociate with solid food. In contrast, lick microstructure analysis can be used to dissociate these parameters when the ingestant is a liquid. Therefore, we developed a binge model using a liquid emulsion composed of corn oil, heavy cream and sugar. We show that rats given intermittent access to this high-fat emulsion develop binge-like behavior comparable to that previously observed with solid high-fat food. One feature of this behavior was a gradual escalation in consumption across 2.5 weeks of intermittent access, which was not apparent in rats given lower-fat liquid on the same access schedule. Lick microstructure analysis suggests that this escalation was due at least in part to increases in both motivation to consume and palatability-driven consumption.
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Affiliation(s)
- Sylvie Lardeux
- Department of Psychiatry and Behavioral Science and Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY 10461, USA
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35
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Meule A. Food addiction and body-mass-index: A non-linear relationship. Med Hypotheses 2012; 79:508-11. [DOI: 10.1016/j.mehy.2012.07.005] [Citation(s) in RCA: 55] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2012] [Accepted: 07/06/2012] [Indexed: 01/12/2023]
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Goldschmidt AB, Engel SG, Wonderlich SA, Crosby RD, Peterson CB, Le Grange D, Tanofsky-Kraff M, Cao L, Mitchell JE. Momentary affect surrounding loss of control and overeating in obese adults with and without binge eating disorder. Obesity (Silver Spring) 2012; 20:1206-11. [PMID: 21938073 PMCID: PMC3816927 DOI: 10.1038/oby.2011.286] [Citation(s) in RCA: 65] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Research suggests that loss of control (LOC) while eating (the sense that one cannot control what or how much one is eating) is a more salient feature of binge eating than the amount of food consumed. This study examined the unique contributions of LOC and episode size to negative affect surrounding eating episodes in binge eating disorder (BED) and obesity. Twenty-two obese adults with (n = 9) and without (n = 13) BED completed daily records of eating patterns and mood using ecological momentary assessment (EMA). Linear mixed modeling revealed that across groups, greater premeal self-reported LOC was associated with higher premeal negative affect independent of episode size. For individuals with BED, greater premeal self-reported LOC was associated with higher postmeal negative affect, regardless of the amount of food eaten, whereas for obese controls, the combination of LOC and consumption of large amounts of food was associated with lower postmeal negative affect. Results indicate that LOC, but not the quantity of food consumed, is associated with momentary distress related to aberrant eating in BED. Findings also highlight the need for further research investigating the emotional context surrounding aberrant eating in obese individuals without BED.
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Affiliation(s)
- Andrea B Goldschmidt
- Department of Psychiatry and Behavioral Neuroscience, The University of Chicago, Chicago, Illinois, USA.
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Stress-induced laboratory eating behavior in obese women with binge eating disorder. Appetite 2012; 58:457-61. [DOI: 10.1016/j.appet.2011.12.007] [Citation(s) in RCA: 57] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2011] [Revised: 12/07/2011] [Accepted: 12/12/2011] [Indexed: 11/19/2022]
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Relationship of fruit, vegetable, and fat consumption to binge eating symptoms in African American and Hispanic or Latina women. Eat Behav 2012; 13:179-82. [PMID: 22365808 PMCID: PMC3304303 DOI: 10.1016/j.eatbeh.2012.01.007] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2011] [Revised: 12/19/2011] [Accepted: 01/17/2012] [Indexed: 11/22/2022]
Abstract
African American (AA) and Hispanic or Latina (HL) women have the highest rates of overweight and obesity of any gender and ethnic groups. Binge eating disorder (BED) is the most common eating disorder in the United States and is linked to overweight and obesity. Traditional treatments for BED may not be appropriate or viable for AA and HL women, because they are less likely than whites to seek treatment for psychological conditions and may have less access to healthcare. Improving dietary habits in those with BED or subthreshold BED may reduce binge eating symptoms. The current study investigated the association of fruit, vegetable, and fat consumption to binge eating symptoms in AA and HL women. AA and HL women in the Health Is Power (HIP) study (N=283) reported fruit and vegetable intake, fat intake, and binge eating symptoms. Women were middle aged (M=45.8 years, SD=9.2) and obese (M BMI=34.5 kg/m(2), SD=7.5). Greater fat consumption was correlated with lower fruit and vegetable consumption (r(s)=-0.159, p<0.01). Higher BMI (r(s)=0.209, p<0.01), and greater fat consumption (r(s)=0.227, p<0.05) were correlated with increased binge eating symptoms. Multiple regression analysis demonstrated that for HL women (β=0.130, p=0.024), higher BMI (β=0.148, p=0.012), and greater fat consumption (β=0.196, p=0.001) were associated with increased binge eating symptoms (R(2)=0.086, F(3,278)=8.715, p<0.001). Findings suggest there may be a relationship between fat consumption and binge eating symptoms, warranting further study to determine whether improving dietary habits may serve as a treatment for BED in AA and HL women.
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Dalle Grave R, Calugi S, Marchesini G. Objective and subjective binge eating in underweight eating disorders: associated features and treatment outcome. Int J Eat Disord 2012; 45:370-6. [PMID: 21656542 DOI: 10.1002/eat.20943] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/17/2011] [Indexed: 11/07/2022]
Abstract
OBJECTIVE To define the utility of the DSM-IV-TR definition of binge eating, as it applies to anorexia nervosa (AN) and underweight eating disorder not otherwise specified (ED-NOS). METHOD We investigated the psychopathological features associated with bulimic episodes in 105 underweight individuals with eating disorders who reported regular objective bulimic episodes with or without subjective bulimic episodes (OBE group, n = 33), regular subjective bulimic episodes only (SBE group, n = 36) and neither objective nor subjective bulimic episodes (n = 36, no-RBE group). The Eating Disorder Examination (EDE), anxiety, depression, and personality tests were administered before and upon completion of inpatient cognitive behavior therapy (CBT) treatment 6 months later. RESULTS Compared with the SBE group, OBE subjects had higher body mass index, and more frequent self-induced vomiting, while both OBE and SBE groups had more severe eating disorder psychopathology and lower self-directness than the no-RBE group. Dropout rates and outcomes in response to inpatient CBT were similar in the three groups. DISCUSSION Despite a few significant differences at baseline, the similar outcome in response to CBT indicates that categorizing patients with underweight eating disorder on the basis of the type or frequency of bulimic episodes is of limited clinical utility.
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Affiliation(s)
- Riccardo Dalle Grave
- Department of Eating Disorder and Obesity, Villa Garda Hospital, Garda (Vr), Italy
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Raymond NC, Peterson RE, Bartholome LT, Raatz SK, Jensen MD, Levine JA. Comparisons of energy intake and energy expenditure in overweight and obese women with and without binge eating disorder. Obesity (Silver Spring) 2012; 20:765-72. [PMID: 22016098 PMCID: PMC3882077 DOI: 10.1038/oby.2011.312] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The purpose of this study was to determine whether there are differences in energy intake or energy expenditure that distinguish overweight/obese women with and without binge eating disorder (BED). Seventeen overweight/obese women with BED and 17 overweight/obese controls completed random 24-h dietary recall interviews, and had total daily energy expenditure (TDEE) assessed by the doubly labeled water (DLW) technique with concurrent food log data collection. Participants received two baseline dual-energy X-ray absorptiometry (DXA) scans and had basal metabolic rate (BMR) and thermic effect of food (TEF) measured using indirect calorimetry. Results indicated no between group differences in TDEE, BMR, and TEF. As in our previous work, according to dietary recall data, the BED group had significantly higher caloric intake on days when they had binge eating episodes than on days when they did not (3,255 vs. 2,343 kcal). There was no difference between BED nonbinge day intake and control group intake (2,233 vs. 2,140 kcal). Similar results were found for food log data. Dietary recall data indicated a trend toward higher average daily intake in the BED group (2,587 vs. 2,140 kcal). Furthermore, when comparing TDEE to dietary recall and food log data, both groups displayed significant under-reporting of caloric intake of similar magnitudes ranging from 20 to 33%. Predicted energy requirements estimated via the Harris-Benedict equation (HBE) underestimated measured TDEE by 23-24%. Our data suggest that increased energy intake reported by BED individuals is due to increased food consumption and not metabolic or under-reporting differences.
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Affiliation(s)
- Nancy C Raymond
- Department of Psychiatry, University of Minnesota Medical School, Minneapolis, Minnesota, USA.
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Peterson RE, Latendresse SJ, Bartholome LT, Warren CS, Raymond NC. Binge Eating Disorder Mediates Links between Symptoms of Depression, Anxiety, and Caloric Intake in Overweight and Obese Women. J Obes 2012; 2012:407103. [PMID: 22778917 PMCID: PMC3385667 DOI: 10.1155/2012/407103] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2011] [Revised: 02/19/2012] [Accepted: 04/14/2012] [Indexed: 11/17/2022] Open
Abstract
Despite considerable comorbidity between mood disorders, binge eating disorder (BED), and obesity, the underlying mechanisms remain unresolved. Therefore, the purpose of this study was to examine models by which internalizing behaviors of depression and anxiety influence food intake in overweight/obese women. Thirty-two women (15 BED, 17 controls) participated in a laboratory eating-episode and completed questionnaires assessing symptoms of anxiety and depression. Path analysis was used to test mediation and moderation models to determine the mechanisms by which internalizing symptoms influenced kilocalorie (kcal) intake. The BED group endorsed significantly more symptoms of depression (10.1 versus 4.8, P = 0.005 ) and anxiety (8.5 versus 2.7, P = 0.003). Linear regression indicated that BED diagnosis and internalizing symptoms accounted for 30% of the variance in kcal intake. Results from path analysis suggested that BED mediates the influence of internalizing symptoms on total kcal intake (empirical P < 0.001 ). The associations between internalizing symptoms and food intake are best described as operating indirectly through a BED diagnosis. This suggests that symptoms of depression and anxiety influence whether one engages in binge eating, which influences kcal intake. Greater understanding of the mechanisms underlying the associations between mood, binge eating, and food intake will facilitate the development of more effective prevention and treatment strategies for both BED and obesity.
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Affiliation(s)
- Roseann E. Peterson
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA 23298, USA
- ,
Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Biotechnology I, Richmond, VA 23298, USA
- *Roseann E. Peterson:
| | - Shawn J. Latendresse
- ,
Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Biotechnology I, Richmond, VA 23298, USA
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA 23298, USA
| | | | - Cortney S. Warren
- Department of Psychology, University of Nevada, Las Vegas, NV 89154, USA
| | - Nancy C. Raymond
- Department of Psychiatry, University of Minnesota, Minneapolis, MN 55455, USA
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Hood MM, Corsica JA, Azarbad L. Do patients seeking laparoscopic adjustable gastric banding surgery differ from those seeking gastric bypass surgery? A comparison of psychological profiles across ethnic groups. Obes Surg 2011; 21:440-7. [PMID: 20582637 DOI: 10.1007/s11695-010-0222-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND Understanding presurgical psychological functioning is important in determining whether patients may benefit from psychological support before or after undergoing bariatric surgery. However, few studies have directly explored whether presurgical psychosocial profiles differ for patients presenting for different bariatric surgeries and what, if any, impact ethnic background might have. The present study compared presurgical depressive symptomatology, binge eating symptoms, and psychopathology in Caucasian and African American laparoscopic adjustable gastric banding (LAGB) and gastric bypass (RYGB) patients. METHODS Patients (n=272) presenting for either LAGB or RYGB surgery completed self-report measures of depressive symptomatology (BDI), binge eating symptoms (BES), and psychopathology/personality (PAI) as part of the presurgical psychological evaluation. RESULTS RYGB patients endorsed more depressive symptomatology, binge eating symptoms, somatic complaints, and antisocial features than LAGB patients, though higher BMI in the RYGB patients accounted for differences in binge eating symptoms. When the sample was examined by ethnic group, LAGB-RYGB differences were found only in African American, and not Caucasian, patients. CONCLUSIONS Psychosocial profiles appear to differ for African American patients presenting for LAGB and RYGB surgeries; however, some of these differences are accounted for by differences in presurgical BMI. Gaining a better understanding of the initial psychological characteristics of bariatric surgery candidates may improve clinicians' abilities to identify and address specific areas of concern for these patients.
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Affiliation(s)
- Megan M Hood
- Department of Behavioral Sciences, Rush University Medical Center, 1653 West Congress Parkway, Chicago, IL 60612, USA.
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White MA, Kalarchian MA, Masheb RM, Marcus MD, Grilo CM. Loss of control over eating predicts outcomes in bariatric surgery patients: a prospective, 24-month follow-up study. J Clin Psychiatry 2010; 71:175-84. [PMID: 19852902 PMCID: PMC2831110 DOI: 10.4088/jcp.08m04328blu] [Citation(s) in RCA: 221] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2008] [Accepted: 11/24/2008] [Indexed: 01/08/2023]
Abstract
OBJECTIVE This study examined the clinical significance of loss of control (LOC) over eating in bariatric surgery patients over 24 months of prospective, multiwave follow-ups. METHOD Three hundred sixty-one gastric bypass surgery patients completed a battery of assessments before surgery and at 6, 12, and 24 months following surgery. In addition to weight loss and LOC over eating, the assessments targeted eating disorder psychopathology, depression levels, and quality of life. The study was conducted between January 2002 and February 2008. RESULTS Prior to surgery, 61% of patients reported general LOC; postsurgery, 31% reported LOC at 6-month follow-up, 36% reported LOC at 12-month follow-up, and 39% reported LOC at 24-month follow-up. Preoperative LOC did not predict postoperative outcomes. In contrast, mixed models analyses revealed that postsurgery LOC was predictive of weight loss outcomes: patients with LOC postsurgery lost significantly less weight at 12-month (34.6% vs 37.2% BMI loss) and 24-month (35.8% vs 39.1% BMI loss) postsurgery follow-ups. Postsurgery LOC also significantly predicted eating disorder psychopathology, depression, and quality of life at 12- and 24-month postsurgery follow-ups. CONCLUSIONS Preoperative LOC does not appear to be a negative prognostic indicator for postsurgical outcomes. Postoperative LOC, however, significantly predicts poorer postsurgical weight loss and psychosocial outcomes at 12 and 24 months following surgery. Since LOC following bariatric surgery significantly predicts attenuated postsurgical improvements, it may signal a need for clinical attention.
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Affiliation(s)
- Marney A. White
- Department of Psychiatry, Yale University School of Medicine, New Haven CT
| | - Melissa A. Kalarchian
- Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, Pittsburgh PA
| | - Robin M. Masheb
- Department of Psychiatry, Yale University School of Medicine, New Haven CT
| | - Marsha D. Marcus
- Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, Pittsburgh PA
| | - Carlos M. Grilo
- Department of Psychiatry, Yale University School of Medicine, New Haven CT,Department of Psychology, Yale University, New Haven CT
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Are dietary restraint scales valid measures of dietary restriction? Additional objective behavioral and biological data suggest not. Appetite 2009; 54:331-9. [PMID: 20006662 DOI: 10.1016/j.appet.2009.12.009] [Citation(s) in RCA: 110] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2009] [Revised: 10/21/2009] [Accepted: 12/09/2009] [Indexed: 11/22/2022]
Abstract
Prospective studies find that individuals with elevated dietary restraint scores are at increased risk for bulimic symptom onset, yet experiments find that assignment to energy-deficit diet interventions reduce bulimic symptoms. One explanation for the conflicting findings is that the dietary restraint scales used in the former studies do not actually identify individuals who are restraining their caloric intake. Thus, we tested whether dietary restraint scales showed inverse relations to objectively measured caloric intake in three studies. Four dietary restraint scales did not correlate with doubly labeled water estimates of caloric intake over a 2-week period (M, r=.01). One scale showed a significant inverse correlation with objectively measured caloric intake during a regular meal ordered from an ecologically valid menu (M, r=-.30), but a significant positive relation that was qualified by a significant quadratic effect, to objectively measured caloric intake during multiple eating episodes in the lab (M, r=.32). In balance, results suggest that dietary restraint scales are not valid measures of dietary restriction, replicating findings from prior studies that examined objective measures of caloric intake.
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Ricca V, Castellini G, Lo Sauro C, Ravaldi C, Lapi F, Mannucci E, Rotella CM, Faravelli C. Correlations between binge eating and emotional eating in a sample of overweight subjects. Appetite 2009; 53:418-21. [DOI: 10.1016/j.appet.2009.07.008] [Citation(s) in RCA: 110] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2008] [Revised: 07/02/2009] [Accepted: 07/10/2009] [Indexed: 11/25/2022]
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Wonderlich SA, Gordon KH, Mitchell JE, Crosby RD, Engel SG. The validity and clinical utility of binge eating disorder. Int J Eat Disord 2009; 42:687-705. [PMID: 19621466 DOI: 10.1002/eat.20719] [Citation(s) in RCA: 155] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
OBJECTIVE This review attempted to examine the validity and clinical utility of the DSM-IV binge eating disorder (BED) diagnosis across a wide range of validating strategies. METHOD Various electronic databases (Pub Med, Psych Info) were searched for terms relevant to the diagnosis of BED (e.g., binge eating disorder, binge eating) in order to identify papers. Additionally, published papers were reviewed in order to locate additional manuscripts and papers that were presented at meetings. RESULTS The validity and utility of BED varied substantially according to the validator chosen. There is reasonable evidence that BED can be differentiated from other existing eating disorders and is associated with significant impairment and clinical levels of eating disorder psychopathology. The relationship of BED to obesity is complex, and in spite of some positive findings, further research examining the predictive power of BED, beyond the simple presence of obesity and associated psychopathology, in relationship to clinically relevant outcomes is needed. DISCUSSION Binge eating disorder is being considered for inclusion in the DSM-V and various options regarding this decision are reviewed based upon the empirical findings in the paper.
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Affiliation(s)
- Stephen A Wonderlich
- Department of Clinical Neuroscience, University of North Dakota School of Medicine and Health Sciences, 120 8th Street South, P.O. Box 1415, Fargo, North Dakota 58107-1415, USA.
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Wolfe BE, Baker CW, Smith AT, Kelly-Weeder S. Validity and utility of the current definition of binge eating. Int J Eat Disord 2009; 42:674-86. [PMID: 19610126 DOI: 10.1002/eat.20728] [Citation(s) in RCA: 153] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
OBJECTIVE Binge eating, a cardinal symptom of bulimia nervosa (BN) and binge eating disorder (BED), continues to pose challenges in terms of its definition and thus construct validity and clinical utility. This article reviews the available empirical data that support or refute the current DSM-IV-TR defined characteristics of a binge episode. METHOD A systematic literature review was conducted using Medline/PubMed electronic database on DSM-IV-TR defined binge characteristics and associated attributes. RESULTS Data support the current DSM guidelines indicating that binge episodes typically occur in less than 2 h. Size of binge episodes has variability across BN and BED diagnostic groups. Loss of control (LOC) continues to be a core feature of binge eating. Negative affect is the most widely reported antecedent. Strikingly, little is known about binge episodes among individuals with anorexia nervosa-binge/purge subtype. DISCUSSION Available empirical evidence supports the current DSM duration and LOC attributes of a binge episode in BN and BED. However, a more controversial issues is the extent to which size is important in the definition of a binge episode (e.g., subjective vs. objective episodes) across diagnostic categories and the extent to which binge size informs prognosis, treatment, and clinical outcomes. Further study of binge eating attributes in AN is needed.
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Affiliation(s)
- Barbara E Wolfe
- Connell School of Nursing, Boston College, 140 Commonwealth Avenue, Chestnut Hill, Massachusetts 02467, USA.
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Laessle RG, Schulz S. Stress-induced laboratory eating behavior in obese women with binge eating disorder. Int J Eat Disord 2009; 42:505-10. [PMID: 19172596 DOI: 10.1002/eat.20648] [Citation(s) in RCA: 53] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
OBJECTIVE To compare the microstructural eating behavior of obese patients with and without binge eating disorder (BED) after stress induction in laboratory. METHOD Forty-eight obese women were investigated. Seventeen were assigned to the group of BED. Group (BED vs. non-BED) by condition (stress vs. no stress) interaction effect on feeding variables, measured by a universal eating monitor, was tested. Stress was induced by the trier social stress test (TSST) and chocolate pudding served as laboratory food. RESULTS From the nonstress to the stress condition, patients with BED, when compared with non-BED had a greater increase in average eating rate (p < .01) and a corresponding greater increase in the frequency of spoonfuls (p < .02). The BED group also showed a different change in acceleration/deceleration from the nonstress to the stress condition compared to the non-BED group (p < .04). DISCUSSION Obese individuals with BED appear to exhibit a different response to stress than obese non-BED individuals and individuals with bulimia nervosa.
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Affiliation(s)
- Reinhold G Laessle
- Department of Clinical and Theoretical Psychobiology, University of Trier, Trier 54286, Germany.
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Samuels F, Zimmerli EJ, Devlin MJ, Kissileff HR, Walsh BT. The development of hunger and fullness during a laboratory meal in patients with binge eating disorder. Int J Eat Disord 2009; 42:125-9. [PMID: 18803172 PMCID: PMC2877141 DOI: 10.1002/eat.20585] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
OBJECTIVE This study aimed to test the hypothesis that, compared to similarly obese participants without BED, individuals with BED have a disturbance in the development of fullness and reduction of hunger during the course of a standard meal of large size. METHOD Thirteen patients with BED and 14 obese control participants consumed 975 g of a milkshake. Participants received no information about how much they had eaten or how much of the meal remained to be consumed. Participants were interrupted after every 75 g consumed to rate hunger and fullness. RESULTS Final fullness ratings were higher in patients with BED, but there were no differences in mean duration or mean rate of eating, or in changes in subjective ratings of hunger and fullness per gram of food. DISCUSSION The current study reports the surprising finding of no difference in reports of hunger and fullness between patients with BED and obese controls.
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Affiliation(s)
- Francine Samuels
- Department of Pediatric Gastroenterology, Hepatology and Nutrition, Morgan Stanley Children’s Hospital of New York-Presbyterian Columbia University Medical Center, New York, NY
| | | | | | - Harry R. Kissileff
- Columbia University Department of Psychiatry, New York, NY, St. Luke’s-Roosevelt Hospital Center, New York, NY
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50
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Latner JD, Rosewall JK, Chisholm AM. Food volume effects on intake and appetite in women with binge-eating disorder and weight-matched controls. Int J Eat Disord 2009; 42:68-75. [PMID: 18636543 DOI: 10.1002/eat.20570] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE Our study examined the effect of food volume on later intake and appetite ratings in 15 women with binge eating disorder (BED) and 15 healthy control women. METHOD On nonconsecutive days, lower-volume (250 ml/171 kcal) and higher-volume milk-based preloads (500 ml/171 kcal) were served in counterbalanced order. Thirty minutes later, appetite ratings and intake at a buffet-style test-lunch were assessed. RESULTS Higher-volume preloads decreased hunger, desire to eat, excitement about eating, desire for dessert, and loss of control over eating at test meals, relative to lower-volume preloads. Test-meal intake was greater among BED participants than controls; intake did not differ by preload volume. BED participants' desire to eat, prospective consumption, excitement about eating, and desire for meals and desserts were higher than controls' ratings. CONCLUSION Higher-volume foods decreased hunger and related appetite ratings. Differences in food intake and appetite between BED and control participants provide further evidence for the validity of test meals to assess binge eating.
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Affiliation(s)
- Janet D Latner
- Department of Psychology, University of Hawaii at Manoa, 2430 Campus Road, Honolulu, Hawaii, USA.
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