IMPORTANCE Suicide is the second-leading cause of death among adolescents. Sexual minority individuals are at a higher risk of suicide and attempted suicide, but a precise and systematic evaluation of this risk among sexual minority youths has not been documented to our knowledge. OBJECTIVE To examine the risk of attempted suicide among sexual minority adolescents, differentiating for each sexual minority group. DATA SOURCES Electronic databases (PubMed, Embase, and PsycINFO) were searched for articles published through April 30, 2017, with the following search terms: heterosexual, homosexual, bisexual, transgender, adolescents, teens, and attempted suicide. STUDY SELECTION Studies that reported attempted suicide in sexual minority adolescents compared with heterosexual peers were included. Thirty-five studies satisfied criteria for inclusion of 764 records identified. DATA EXTRACTION AND SYNTHESIS Pooled analyses were based on odds ratios (ORs), with relevant 95% CIs, weighting each study with inverse variance models with random effects. Risk of publication bias and analysis of heterogeneity through univariable and multivariable meta-regressions were also rated. MAIN OUTCOMES AND MEASURES The evaluation of increased odds of attempted suicide among sexual minority youths compared with heterosexual peers. RESULTS Thirty-five studies reported in 22 articles that involved a total of 2 378 987 heterosexual and 113 468 sexual minority adolescents (age range, 12-20 years) were included in the analysis. Sexual minority youths were generally at higher risk of attempted suicide (OR, 3.50; 95% CI, 2.98-4.12; c 2 = 3074.01; P < .001; I 2 = 99%). If estimated in each sexual minority group, the OR was 3.71 in the homosexual group (95% CI, 3.15-4.37; c 2 = 825.20; P < .001; I 2 = 97%) and 4.87 in the bisexual group (95% CI, 4.76-4.98; c 2 = 980.02; P < .001; I 2 = 98%); transgender youths were described as an individual group in only 1 study, which reported an OR of 5.87 (95% CI, 3.51-9.82). Meta-regressions weighted for the study weight highlighted that the presence of young participants (12 years old) was associated with heterogeneity in the bisexual group, whereas the year of sampling was associated with heterogeneity in the whole group when combined with other covariates. CONCLUSIONS AND RELEVANCE Our findings suggest that youths with nonheterosexual identity have a significantly higher risk of life-threatening behavior compared with their heterosexual peers. Public awareness is important, and a careful evaluation of supportive strategies (eg, support programs, counseling, and destigmatizing efforts) should be part of education and public health planning.
The 11th revision of the World Health Organization (WHO) International Classification of Diseases (ICD-11) includes a fundamentally new approach to Personality Disorders (PD). ICD-11 is expected to be implemented first in European countries before other WHO member states. The present paper provides an overview of this new ICD-11 model including PD severity classification, trait domain specifiers, and the additional borderline pattern specifier. We discuss the perceived challenges and opportunities of using the ICD-11 approach with particular focus on its continuity and discontinuity with familiar PD categories such as avoidant PD and narcissistic PD. The advent of the ICD-11 PD classification involves major changes for health care workers, researchers, administrators, and service providers as well as patients and families involved. The anticipated challenges and opportunities are put forward in terms of specific unanswered questions. It is our hope that these questions will stimulate further research and discussion among researchers and clinicians in the coming years.
Borderline Personality (BPD) and Bipolar (BP) disorders stimulate an academic debate between their distinction and the inclusion of Borderline in the Bipolar spectrum. Opponents to this inclusion attribute the important differences and possible diagnostic incomprehension to overlapping symptoms. We tested 248 Borderline and 113 Bipolar patients, consecutively admitted to the Psychiatric Unit, through DSM-IV Axis I and II Disorders (SCID-I/II), Hamilton Depression Rating Scale (HAM-D), Hamilton Anxiety Rating Scale (HAM-A), Young Mania Rating Scale (YMRS) and Borderline Personality Disorder Severity Index-IV (BPDSI-IV). All the tests statistically discriminated the disorders (p < 0.0001). Overlapping symptoms resulted significantly different (impulsivity = 5.32 in BPD vs 1.55 in BP, p < 0.0001; emotional instability = 7.11 in BPD vs 0.55 in BP, p < 0.0001) and the range of their scores gives the opportunity for an even more precise discrimination. Distinctive traits (e.g. irritability or sexual arousal) are also discussed in order to try to qualify the core of these disorders to a higher degree. Comorbidity proves to be extremely small (3.6%). However, Borderline patients with manic features offer a privileged point of view for a deeper analysis. This allows for the possibility of a more precise examination of the nature and load of each symptom. Borderline Personality and Bipolar Disorders can be distinguished with high precision using common and time-sparing tests. The importance of discriminating these clinical features may benefit from this evidence.
Background and aims The concept of "Food Addiction" has been based on criteria of Substance Use Disorder. Several studies suggested a relationship between food addiction and eating disorders, but little is known about its extent or role. We aim at exploring if food addiction is coincident with a specific eating disorder (binge eating disorder appears the closest) or it is a separate diagnostic entity that afflicts in comorbidity with eating disorders or other conditions like obesity or even in the general population. Methods This systematic review and meta-analysis analyzed observational studies with a comparative estimation on rates of subjects affected by binge eating disorder and food addiction. Results Binge eating disorder shows higher comorbidity with food addiction compared to other eating disorders (OR = 1.33, 95% CI, 0.64–2.76; c2 = 4.42; p = 0.44;I2 = 0%), or each eating disorder [anorexia nervosa purging type (OR = 1.93, 95% CI, 0.20–18.92; p = 0.57) and restrictive type (OR = 8.75, 95% CI, 1.08–70.70; p = 0.04)], obese patients (OR = 5.72, 95% CI, 3.25–10.09; p = < 0.0001) and individuals from the general population (OR = 55.41, 95% CI, 8.16–376.10; c2 = 18.50; p < 0.0001; I2 = 0%)but has decreased prevalence when compared to bulimia nervosa (OR = 0.85, 95% CI, 0.33–2.22; c2 = 0.35; p = 0.74; I2 = 0%). Discussion and conclusions Our data show that the prevalence of food addiction in binge eating disorder is higher than in other eating disorders except in bulimia nervosa. Moreover, it is a separate diagnostic reality and can be detected in people without mental illness and in the general population. Food addiction might have a prognostic value, since in comorbidity, and should be addressed to boost treatment efficacy and patient’s recovery. Level of evidence I: Evidence obtained systematic reviews and meta-analyses.
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