BACKGROUND: The aim of this study was to assess barriers and facilitators in the pathways toward specialist care for eating disorders (EDs). METHODS: Eleven ED services located in seven European countries recruited patients with an ED. Clinicians administered an adapted version of the World Health Organization "Encounter Form," a standardized tool to assess the pathways to care. The unadjusted overall time needed to access the ED unit was described using the Kaplan-Meier curve. RESULTS: Four-hundred-nine patients were recruited. The median time between the onset of the current ED episode and the access to a specialized ED care was 2 years. Most of the participants did not directly access the specialist ED unit: primary "points of access" to care were mental health professionals and general practitioners. The involvement of different health professionals in the pathway, seeking help for general psychiatric symptoms, and lack of support from family members were associated with delayed access to ED units. CONCLUSIONS: Educational programs aiming to promote early diagnosis and treatment for EDs should pay particular attention to general practitioners, in addition to mental health professionals, and family members to increase awareness of these illnesses and of their treatment initiation process.

• MeSH
• Humans MeSH
• Feeding and Eating Disorders * diagnosis   therapy   MeSH
• Family MeSH
• Health Personnel MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Multicenter Study MeSH
• Geographicals
• Europe MeSH

Eating disorders and substance use disorders frequently co-occur. Twin studies reveal shared genetic variance between liabilities to eating disorders and substance use, with the strongest associations between symptoms of bulimia nervosa and problem alcohol use (genetic correlation [rg ], twin-based = 0.23-0.53). We estimated the genetic correlation between eating disorder and substance use and disorder phenotypes using data from genome-wide association studies (GWAS). Four eating disorder phenotypes (anorexia nervosa [AN], AN with binge eating, AN without binge eating, and a bulimia nervosa factor score), and eight substance-use-related phenotypes (drinks per week, alcohol use disorder [AUD], smoking initiation, current smoking, cigarettes per day, nicotine dependence, cannabis initiation, and cannabis use disorder) from eight studies were included. Significant genetic correlations were adjusted for variants associated with major depressive disorder and schizophrenia. Total study sample sizes per phenotype ranged from ~2400 to ~537 000 individuals. We used linkage disequilibrium score regression to calculate single nucleotide polymorphism-based genetic correlations between eating disorder- and substance-use-related phenotypes. Significant positive genetic associations emerged between AUD and AN (rg = 0.18; false discovery rate q = 0.0006), cannabis initiation and AN (rg = 0.23; q < 0.0001), and cannabis initiation and AN with binge eating (rg = 0.27; q = 0.0016). Conversely, significant negative genetic correlations were observed between three nondiagnostic smoking phenotypes (smoking initiation, current smoking, and cigarettes per day) and AN without binge eating (rgs = -0.19 to -0.23; qs < 0.04). The genetic correlation between AUD and AN was no longer significant after co-varying for major depressive disorder loci. The patterns of association between eating disorder- and substance-use-related phenotypes highlights the potentially complex and substance-specific relationships among these behaviors.

• MeSH
• Alcoholism genetics   MeSH
• Genome-Wide Association Study MeSH
• Depressive Disorder, Major genetics   MeSH
• Phenotype MeSH
• Polymorphism, Single Nucleotide MeSH
• Humans MeSH
• Feeding and Eating Disorders genetics   MeSH
• Substance-Related Disorders genetics   MeSH
• Tobacco Use Disorder genetics   MeSH
• Risk Factors MeSH
• Schizophrenia genetics   MeSH
• Linkage Disequilibrium MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Research Support, N.I.H., Extramural MeSH

Characterized primarily by a low body-mass index, anorexia nervosa is a complex and serious illness1, affecting 0.9-4% of women and 0.3% of men2-4, with twin-based heritability estimates of 50-60%5. Mortality rates are higher than those in other psychiatric disorders6, and outcomes are unacceptably poor7. Here we combine data from the Anorexia Nervosa Genetics Initiative (ANGI)8,9 and the Eating Disorders Working Group of the Psychiatric Genomics Consortium (PGC-ED) and conduct a genome-wide association study of 16,992 cases of anorexia nervosa and 55,525 controls, identifying eight significant loci. The genetic architecture of anorexia nervosa mirrors its clinical presentation, showing significant genetic correlations with psychiatric disorders, physical activity, and metabolic (including glycemic), lipid and anthropometric traits, independent of the effects of common variants associated with body-mass index. These results further encourage a reconceptualization of anorexia nervosa as a metabo-psychiatric disorder. Elucidating the metabolic component is a critical direction for future research, and paying attention to both psychiatric and metabolic components may be key to improving outcomes.

• MeSH
• Genome-Wide Association Study * MeSH
• Adult MeSH
• Mental Disorders complications   genetics   MeSH
• Phenotype MeSH
• Genetic Predisposition to Disease * MeSH
• Genomics methods   MeSH
• Body Mass Index MeSH
• Humans MeSH
• Quantitative Trait Loci * MeSH
• Anorexia Nervosa etiology   genetics   pathology   MeSH
• Metabolic Diseases complications   genetics   MeSH
• Prognosis MeSH
• Case-Control Studies MeSH
• Check Tag
• Adult MeSH
• Humans MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH