The Risk of Substance Use Among Adolescents and Adults With Eating Disorders

Mental health facilities with eating disorder treatment programs and substance use disorder treatment in the United States

Eating disorders (EDs) and substance use disorders (SUDs) often co-occur. However, not all providers that treat persons with an ED provide SUD treatment. Using the National Mental Health Services Survey, this study examined 1,387 ED treatment providers in the U.S. Facilities were categorized according to whether they provided SUD treatment. Differences based on facilities' profit status, available treatment settings, payment options, and treatment services were examined. Most ED facilities in the sample offered SUD treatment services (67.2%). Differences in proportions of the facility type, availability of outpatient treatment, sliding fee scale payment option, whether the facility had a program for individuals with co-occurring mental health and SUD, couples/family therapy, dual disorders treatment, and if the facility provided telemedicine/telehealth were identified. Although most facilities in this sample offered SUD services, more should be done to increase such facilities' capacity to provide treatment for co-occurring ED and SUD nationwide.

Anorexia Nervosa as a Cause of Drug-Induced Thyrotoxicosis

The authors propose a case report analysis with a step-by-step exclusion of possible non-psychiatric medical causes of thyrotoxicosis in a young girl. The prolonged differential diagnosis eventually led to the diagnosis of drug-induced thyrotoxicosis due to anorexia nervosa in the patient. The analysis of the presented case report once again demonstrates the importance of a carefully curated medical history, including the psychiatric history, as well as a holistic and comprehensive analysis of all the clinical manifestations. We analyzed this case report of a patient with thyrotoxicosis due to anorexia nervosa in order to test the algorithm of differential diagnosis. All patient information was anonymized, and the patient gave informed consent to the submission of the case report for publication.

The Bergen Facebook Addiction Scale: its psychometric properties and invariance among women with eating disorders

OBJECTIVE

Facebook addiction is increasing, giving rise to limited real-life social networks, loneliness, poor work and academic performance, psychopathology, and low well-being. Facebook entails numerous factors that increase the risk for disordered eating attitudes and behaviors (e.g., use time and Facebook activities such as social grooming and photo sharing). This study aimed to evaluate the psychometric properties of the Bergen Facebook Addiction Scale (BFAS) among patients with eating disorders (EDs) given lack of validation of Facebook addiction measures in this population.

METHODS

A cross-sectional study involving 123 inpatient and outpatient women with EDs (Mean age = 27.3, SD = 10.6, range = 14-59 years) used confirmatory factor analysis (CFA), multigroup CFA, structural equation modeling (SEM), Spearman's rho Spearman's analysis, McDonald's Omega (ω), Cronbach's alpha (α), and item-total correlations to examine the structure, invariance, criterion validity, reliability, and discriminant validity of the BFAS.

RESULTS

Correlating the residuals of items 2, 3, and 5 resulted in an excellent fit of a one-factor structure of the BFAS (χ2(7) = 8.515, p = .289, CFI = .998, TLI = .996, RMSEA = .042, SRMR = .0099). The BFAS was invariant at the configural, metric, and scalar levels across groups of EDs, age, education, and marital status. High values of ω and α (.96) as well as item-total correlations (.851-.929) indicated excellent reliability and high discrimination index of the BFAS.  Criterion validity is noted by strong positive correlation with the Six-item Internet Addiction Test (S-IAT, r = .88) and SEM using the S-IAT to predict the BFAS (χ2(49) = 103.701, p = .001, CFI = .975, TLI = .966, RMSEA = .096, SRMR = .0317)..

CONCLUSION

The BFAS is a reliable unidimensional measure. Its high discrimination index and invariance across different groups make it useful for detecting Facebook addiction among patients with ED.