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Mellowspring A. Eating Disorders in the Primary Care Setting. Prim Care 2023; 50:103-117. [PMID: 36822720 DOI: 10.1016/j.pop.2022.10.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
Eating disorders are mental health disorders with complicating medical, psychiatric, and nutritional comorbidities. Common eating disorder diagnoses include anorexia nervosa, bulimia nervosa, binge eating disorder, avoidant restrictive food intake disorder, and other specified feeding or eating disorder. Unspecified feeding or eating disorder is most applicable in brief acute care settings. Eating disorders occur across age, gender, racial, ethnic, and socioeconomic variables. Effective assessment, intervention, and collaborative treatment are needed to decrease risk factors and increase opportunities for recovery.
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Papini NM, Jung M, Cook A, Lopez NV, Ptomey LT, Herrmann SD, Kang M. Psychometric properties of the 26-item eating attitudes test (EAT-26): an application of rasch analysis. J Eat Disord 2022; 10:62. [PMID: 35509106 PMCID: PMC9069796 DOI: 10.1186/s40337-022-00580-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 04/15/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND The 26-item Eating Attitudes Test (EAT-26) is a commonly used tool to assess eating disorder risk. The purpose of this study was to examine the psychometric properties of the EAT-26 with a combined sample: (1) of adults with overweight and obesity enrolled in a behavioral weight loss program and (2) general adult sample (n = 469; age = 36.17 ± 17.83 years; female = 72.5%; white = 66.3%; obese BMI category = 58%). METHODS Rasch modeling was used to assess model-data fit, create an item-person map to evaluate relative distribution items and persons, item difficulty, and person's eating disorder (ED) risk level of the EAT-26. Differential item functioning (DIF) and rating scale functioning of the EAT-26 were also evaluated using Rasch analysis. RESULTS A total of 7 misfit items were removed from the final analysis due to unacceptable Infit and Outfit mean square residual values. The item-person map showed that the items were biased toward participants with moderate to high levels of ED risk and did not cover those who had low risk for having an ED (< - 1 logits). The DIF analyses results showed that none of the items functioned differently across sex, but 5 items were flagged based on obesity status. The six-category Likert-type rating scale did not function well indicating a different response format may be needed. CONCLUSION Several concerns were identified with the psychometric evaluation of the EAT-26 that may question its utility in assessing ED risk in individuals at low risk for ED, within samples of people who have overweight and obesity seeking weight loss treatment. The 26-item Eating Attitudes Test is a self-rated measure of eating attitudes that measures symptoms and concerns of eating disorders (ED). Very little is known about how this instrument performs differently based on individual factors like body mass index (BMI) and sex (male/female). We used an advanced measurement theory (i.e., Rasch analysis) to determine if the EAT-26 is an adequate measure to detect disordered eating in men and women of different BMIs. Results indicated that the EAT-26 was biased toward participants with moderate to high levels of disordered eating risk and did not adequately detect individuals at low risk for disordered eating. The EAT-26 did not function differently based on sex (male/female). However, five questions did function differently based on obesity status (those without obesity/ those with obesity). Finally, we observed the six-category rating scale did not function appropriately and that a new response format may be warranted. In sum, there were several issues (e.g., poor rating scale and different item functioning) with the EAT-26 and future work should develop screening tools that detect low risk of disordered eating as well as function well in adults with overweight and obesity.
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Affiliation(s)
- Natalie M Papini
- Department of Health Sciences, Northern Arizona University, 1100 S. Beaver St., Flagstaff, AZ, 86001, USA.
| | - Myungjin Jung
- Department of Health, Exercise Science, and Recreation Management, The University of Mississippi, University, MS, USA
| | - Amanda Cook
- Volunteer Behavioral Health Care System, Murfreesboro, TN, USA
| | - Nanette V Lopez
- Department of Health Sciences, Northern Arizona University, 1100 S. Beaver St., Flagstaff, AZ, 86001, USA
| | - Lauren T Ptomey
- Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, USA
| | | | - Minsoo Kang
- Department of Health, Exercise Science, and Recreation Management, The University of Mississippi, University, MS, USA
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Ralph-Nearman C, Stewart JL, Jones KA. The role of negative urgency in risky alcohol drinking and binge-eating in United Kingdom male and female students. Addict Behav Rep 2020; 11:100274. [PMID: 32322660 PMCID: PMC7171258 DOI: 10.1016/j.abrep.2020.100274] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 04/02/2020] [Accepted: 04/03/2020] [Indexed: 10/26/2022] Open
Abstract
Identifying students at risk of developing binge-eating and alcohol use disorders is a priority in the United Kingdom (UK). Although relationships between negative urgency (impulsive behavior during times of negative emotion), risky drinking, and binge-eating have been established in students from other countries, these links have yet to be replicated in male and female UK students. UK students aged 18-30 (n = 155) completed the: (1) the Urgency, Pre-meditation, Perseverance, Sensation Seeking (UPPS-P) negative urgency subscale; (2) Alcohol Use Disorders Identification Test (AUDIT); and (3) Binge-Eating Scale (BES). For categorical analysis, participants were assigned to one of four groups as a function of AUDIT and BES clinical cut-off scores: (1) no risk (28%); (2) risky drinkers (47%); (3) binge-eaters (6%); and (4) risky drinkers + binge-eaters (19%). For dimensional analysis, across students with non-zero AUDIT and BES scores (n = 141), BES, AUDIT, gender, and their interactions were entered as predictors in the same block of a regression. UPPS-P negative urgency was the dependent variable. Categorical results indicated that binge-eaters with and without risky drinking endorsed significantly higher negative urgency than students with no risk. Dimensional results showed that although higher BES and AUDIT scores were positively linked to higher negative urgency, but only the BES was significantly associated. Furthermore, BES shared substantially more variance with negative urgency than the AUDIT, and the BES-negative urgency relationship was stronger in male students than female students. High risk students may benefit the most from interventions that help regulate negative emotion.
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Affiliation(s)
- Christina Ralph-Nearman
- School of Psychology, University of Nottingham, United Kingdom.,Laureate Institute for Brain Research, Tulsa, OK, United States
| | - Jennifer L Stewart
- Laureate Institute for Brain Research, Tulsa, OK, United States.,Department of Community Medicine, University of Tulsa, United States
| | - Katy A Jones
- Division of Psychiatry and Applied Psychology, Institute of Mental Health, University of Nottingham, Innovation Park, United Kingdom
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Shell AG, Firmin MW. Binge Eating Disorder and Substance Use Disorder: A Case for Food Addiction. PSYCHOLOGICAL STUDIES 2017. [DOI: 10.1007/s12646-017-0431-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
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Abstract
I founded Eating Disorders: The Journal of Treatment & Prevention 25 years ago, and its character, reputation, and success are highly attributable to Arnold Andersen, John Foreyt, and Margo Maine, the three original senior editors, whose perspectives follow in this article. Having made the decision to retire from the journal, I asked the senior editors to transition to the emeritus board along with me, which I explain further in my own Last Word, "Goodbye, Eating Disorders," in this volume (Cohn, 2017). Over our 25 years of collaboration, the senior editors have acquired unique insights into the evolution of the eating disorders field; so, I asked them to contribute retrospective essays in which they also look forward within their primary areas of expertise-presented here in alphabetical order. - Leigh Cohn, Editor-in-Chief.
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Affiliation(s)
- Arnold Andersen
- a Professor Emeritus , University of Iowa, Carver College of Medicine, Iowa City , IA, USA
| | - John Foreyt
- b Director , Behavioral Medicine Research Center at Baylor College of Medicine, Houston , TX, USA
| | - Margo Maine
- c Private Practice , Maine & Weinstein, West Hartford , CT, USA
| | - Leigh Cohn
- d Publisher , Gurze Books , Carlsbad, CA, USA
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Binge Eating among Women Veterans in Primary Care: Comorbidities and Treatment Priorities. Womens Health Issues 2016; 26:420-8. [PMID: 26972486 DOI: 10.1016/j.whi.2016.02.004] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2015] [Revised: 02/08/2016] [Accepted: 02/09/2016] [Indexed: 11/22/2022]
Abstract
BACKGROUND Little is known about the clinical profile and treatment priorities of women with binge eating disorder (BED), a diagnosis new to the fifth edition of Diagnostic and Statistical Manual of Mental Disorders. We identified comorbidities and patients' treatment priorities, because these may inform implementation of clinical services. METHODS Data were collected from women veteran primary care patients. Analyses compared those who screened positive for BED (BED+), and those without any binge eating symptoms (BED-). RESULTS Frequencies of comorbid medical and psychological disorders were high in the BED+ group. The BED+ group's self-identified most common treatment priorities were mood concerns (72.2%), weight loss (66.7%), and body image/food issues (50%). Among those with obesity, a greater proportion of the BED+ group indicated body image/food issues was their top treatment priority (12.9% vs. 2.8%; p < .01), suggesting that these patients may be more apt to seek treatment beyond weight management for their problematic eating patterns. CONCLUSIONS Women primary care patients with BED demonstrate high medical and psychological complexity; their subjective treatment priorities often match objective needs. These findings may inform the development of targeted BED screening practices for women with obesity in primary care settings, and the eventual adoption of patient-centered BED treatment resources.
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Zhang Y, Liu J, Yao J, Ji G, Qian L, Wang J, Zhang G, Tian J, Nie Y, Zhang YE, Gold MS, Liu Y. Obesity: pathophysiology and intervention. Nutrients 2014; 6:5153-83. [PMID: 25412152 PMCID: PMC4245585 DOI: 10.3390/nu6115153] [Citation(s) in RCA: 95] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2014] [Revised: 07/21/2014] [Accepted: 10/29/2014] [Indexed: 01/09/2023] Open
Abstract
Obesity presents a major health hazard of the 21st century. It promotes co-morbid diseases such as heart disease, type 2 diabetes, obstructive sleep apnea, certain types of cancer, and osteoarthritis. Excessive energy intake, physical inactivity, and genetic susceptibility are main causal factors for obesity, while gene mutations, endocrine disorders, medication, or psychiatric illnesses may be underlying causes in some cases. The development and maintenance of obesity may involve central pathophysiological mechanisms such as impaired brain circuit regulation and neuroendocrine hormone dysfunction. Dieting and physical exercise offer the mainstays of obesity treatment, and anti-obesity drugs may be taken in conjunction to reduce appetite or fat absorption. Bariatric surgeries may be performed in overtly obese patients to lessen stomach volume and nutrient absorption, and induce faster satiety. This review provides a summary of literature on the pathophysiological studies of obesity and discusses relevant therapeutic strategies for managing obesity.
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Affiliation(s)
- Yi Zhang
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China.
| | - Ju Liu
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China.
| | - Jianliang Yao
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China.
| | - Gang Ji
- Xijing Gastrointestinal Hospital, the Fourth Military Medical University, Xi'an, Shaanxi 710032, China.
| | - Long Qian
- Department of Biomedical Engineering, Peking University, Beijing 100871, China.
| | - Jing Wang
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China.
| | - Guansheng Zhang
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China.
| | - Jie Tian
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China.
| | - Yongzhan Nie
- Xijing Gastrointestinal Hospital, the Fourth Military Medical University, Xi'an, Shaanxi 710032, China.
| | - Yi Edi Zhang
- Department of Psychiatry & McKnight Brain Institute, University of Florida, 1149 South Newell Drive, Gainesville, FL 32610, USA.
| | - Mark S Gold
- Department of Psychiatry & McKnight Brain Institute, University of Florida, 1149 South Newell Drive, Gainesville, FL 32610, USA.
| | - Yijun Liu
- Department of Psychiatry & McKnight Brain Institute, University of Florida, 1149 South Newell Drive, Gainesville, FL 32610, USA.
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