Psychopathological and clinical features of outpatients with an eating disorder not otherwise specified

2001 ◽  
Vol 6 (3) ◽  
pp. 157-165 ◽  
Author(s):  
Valdo Ricca ◽  
E. Mannucci ◽  
B. Mezzani ◽  
M. Di Bernardo ◽  
T. Zucchi ◽  
...  
Keyword(s):  
Eating Disorder ◽  
Clinical Features ◽  
Not Otherwise Specified

Epidemiology and Course of Eating Disorders

2010 ◽  
pp. 24-32 ◽  
Author(s):  
Pamela Keel
Keyword(s):  
Public Health ◽  
Eating Disorders ◽  
Anorexia Nervosa ◽  
Eating Disorder ◽  
Bulimia Nervosa ◽  
The Public ◽  
Purging Disorder ◽  
Not Otherwise Specified ◽  
Public Health Significance ◽  
Health Significance

The epidemiology of eating disorders holds important clues for understanding factors that may contribute to their etiology. In addition, epidemiological findings speak to the public health significance of these deleterious syndromes. Information on course and outcome are important for clinicians to understand the prognosis associated with different disorders of eating and for treatment planning. This chapter reviews information on the epidemiology and course of anorexia nervosa, bulimia nervosa, and two forms of eating disorder not otherwise specified, binge eating disorder and purging disorder.

The eating disorders

2020 ◽  
pp. 1045-1047
Author(s):  
Chris Fairburn ◽  
Rebecca Murphy
Keyword(s):  
Eating Disorders ◽  
Anorexia Nervosa ◽  
Eating Disorder ◽  
Bulimia Nervosa ◽  
Binge Eating ◽  
Clinical Features ◽  
Binge Eating Disorder ◽  
Over Time

This chapter describes the three main eating disorders (anorexia nervosa, bulimia nervosa, and binge eating disorder), together with other similar related states. It explains how they are classified and describes their clinical features, development, and course. It is noted that the eating disorders have many features in common and that people move between them over time. These two observations support adopting a transdiagnostic perspective on these conditions.

Cognitive behaviour therapy for eating disorders

2012 ◽  
pp. 1298-1304
Author(s):  
Zafra Cooper ◽  
Rebecca Murphy ◽  
Christopher G. Fairburn
Keyword(s):  
Eating Disorders ◽  
Anorexia Nervosa ◽  
Eating Disorder ◽  
Bulimia Nervosa ◽  
Cognitive Behaviour Therapy ◽  
Behaviour Therapy ◽  
General Management ◽  
Not Otherwise Specified ◽  
Cognitive Behavioural ◽  
Cognitive Behaviour

The eating disorders provide one of the strongest indications for cognitive behaviour therapy. This bold claim arises from the demonstrated effectiveness of cognitive behaviour therapy in the treatment of bulimia nervosa and the widespread acceptance that cognitive behaviour therapy is the treatment of choice. Cognitive behaviour therapy is also widely used to treat anorexia nervosa although this application has not been adequately evaluated. Recently its use has been extended to ‘eating disorder not otherwise specified’ (eating disorder NOS), a diagnosis that applies to over 50 per cent of cases, and emerging evidence suggests that it is just as effective with these cases as it is with cases of bulimia nervosa. In this chapter the cognitive behavioural approach to the understanding and treatment of eating disorders will be described. The data on the efficacy and effectiveness of the treatment are considered in the chapters on anorexia nervosa and bulimia nervosa (see Chapters 4.10.1 and 4.10.2 respectively), as is their general management.

scholarly journals Eating Disorder Risk and Severity as a Function of Following Self-Administered Popular Diets

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 565-565
Author(s):  
Mackinsey Shahan ◽  
Katherine Jordan ◽  
Nicole Siegfried ◽  
Crystal Douglas ◽  
Jeannine Lawrence
Keyword(s):  
Eating Disorder ◽  
Information Age ◽  
Adult Women ◽  
Partial Hospitalization ◽  
Gluten Free ◽  
Funding Sources ◽  
Not Otherwise Specified ◽  
Increase Risk ◽  
Diet History ◽  
Composite Scores

Abstract Objectives Adherence to popular diets has increased in recent years. This is concerning as extreme dieting behaviors, which may develop as a result of following certain diets, can increase risk for developing an eating disorder (ED). We assessed whether adherence to popular diets (i.e., gluten free, vegetarian, paleo, and clean eating) is related to ED diagnosis and severity. We hypothesized that adherence to any popular diet would be associated with ED risk, while adherence to an increasing number of diets would be associated with ED severity. Methods Adult women admitted to an intensive outpatient or partial hospitalization program for ED treatment were recruited to participate. Demographic information (age and race), ED diagnosis and severity (identified by a trained clinician and scored by the Eating Disorder Inventory 3 (EDI-3)), and height and weight were collected. A self-administered survey assessed diet history. Results Seventy-seven women aged 26.74 years (SD = 7.71), primarily white (89.6%), with an ED diagnosis (48.1% anorexia nervosa (AN); 20.8% bulimia nervosa (BN), 16.9% binge eating disorder (BED), and 14.3% “eating disorder not otherwise specified” (EDNOS)) participated. The majority (63.6%) reported currently or previously following a minimum of one pre-selected diet and 7.8% indicated following all four diets at some time point. Diet history was related to ED diagnosis (x2 = 15.981, P = 0.014), particularly among participants diagnosed with AN, BN, or EDNOS. Adherence to specific diets, including gluten free or vegetarian, was not associated with ED diagnosis (x2 = 11.422, P = 0.076 and x2 = 7.789, P = 0.254, respectively), although adherence to paleo and clean eating were more commonly followed by participants diagnosed with EDNOS (x2 = 9.419, P = 0.151 and x2 = 12.307, P = 0.055, respectively). Paleo diets were significantly associated with 3 of the 6 EDI-3 composite scores (P < 0.05), whereas vegetarian was associated with 1, and clean eating and gluten free were not associated with ED severity. Conclusions More restrictive diets, or those that require increased effort to learn and follow (i.e., paleo and clean eating), were more strongly associated with an EDNOS diagnosis. Assessment of dieting history may be clinically useful to better identify and diagnose patients with EDs in the future. Funding Sources No funding to report.

scholarly journals LO51: Does my dizzy patient need a computed tomography of the head?

CJEM ◽  
2019 ◽  
Vol 21 (S1) ◽  
pp. S26
Author(s):  
R. LePage ◽  
A. Regis ◽  
O. Bodunde ◽  
Z. Turgeon ◽  
R. Ohle
Keyword(s):  
Computed Tomography ◽  
High Risk ◽  
Clinical Features ◽  
Univariate Analysis ◽  
Tertiary Care ◽  
Clinical Findings ◽  
Neurological Signs ◽  
Not Otherwise Specified ◽  
Data Collection Sheet ◽  
Abnormal Head

Introduction: Dizziness is among the most common presenting complaints in the emergency department (ED). Although the vast majority of these cases are the result of a benign, self-limiting process, many patients undergo computed tomography (CT) of the head. The objective of this study was to define the yield of and diagnostic accuracy of CT in dizziness in addition to defining high-risk clinical features predictive of an abnormal CT. Methods: At a tertiary care ED we performed a medical records review from Jan 2015-2018 including adult patients with a triage complaint of dizziness (vertigo, unsteady, lightheaded), excluding those with symptoms >14days, recent trauma, GCS < 15, hypotensive, or syncope/loss of consciousness. Five trained reviewers used a standardized data collection sheet to extract data. Our outcome was a central cause defined as: cerebrovascular accident (CVA), brain tumor (BT) or intracranial haemorrhage (ICH) diagnosed on CT or magnetic resonance imaging. Univariate analysis/logistic regression were performed and odds ratios reported. A sample size of 796 was calculated based on an expected prevalence of 5% with an 80% power and 95% confidence interval to detect an odds ratio greater than 2. Results: 2310 patients were recruited, 800 (35%) underwent CT head, 471(59%) female and a mean age of 62.8 years (+/−17.5 years). The top three diagnoses for patients undergoing CT were peripheral vertigo/benign positional vertigo (153 – 19%), vertigo not-otherwise-specified (137 – 17%) and dizziness not-otherwise-specified (137 – 17%). The number of CT scans considered abnormal was 30 (3.7%). The top three diagnoses for patients with an abnormal CT were CVA (22 – 75%), BT (9 – 26%) and ICH (6-17%). High risk clinical findings associated (p < 0.001) with an abnormal head CT were dysmetria, objective motor neurological signs, positive Rhomberg, ataxia and inability to walk 3 steps. Objective motor neurological signs (OR 8.4 [95% CI 3.27-21.72]) and ataxia (OR 3.4 [95% CI 1.62-7.41]) were both independently associated with an abnormal CT. Patients without any high risk findings on exam had a 0.7%(3/381 – 2 CVA,1 Tumour) probability of an abnormal CT. Sensitivity of CT for a central cause of dizziness was 71.43%(95%CI 55.4-84.3%), specificity 100%(95%CI 99.5-100%). Conclusion: Current rate of imaging in dizziness is high and inefficient. CT should be the first imaging test in those with high-risk clinical features, but a normal result does not rule out a central cause.

Sign in / Sign up

Export Citation Format

Share Document