Aims: Armed conflicts produce a wide series of distressing consequences, including death, all of which impact negatively on the lives of survivors. This paper focuses specifically on the mental health consequences of war on adults and child/adolescent refugees or those living in war zones through a review of all systematic reviews and/or meta-analyses published from 2005 up until the current time. Results: Fifteen systematic reviews and/or meta-analyses conducted in adult populations, and seven relating to children and adolescents, were selected for the purpose of this review. Prevalence rates of anxiety, depression and post-traumatic stress disorder (PTSD) were two- to three-fold higher amongst people exposed to armed conflict compared to those who had not been exposed, with women and children being the most vulnerable to the outcome of armed conflicts. A series of war-related, migratory and post-migratory stressors contribute to short- and long-term mental health issues in the internally displaced, asylum seekers and refugees. Conclusion: It should be a required social responsibility for all psychiatrists and psychiatric associations to commit to raising awareness amongst political decision-makers as to the mental health consequences caused by armed conflicts, as part of their duty of care for people experiencing the consequences of war.

Introduction: Although suicidality is frequently the cause of stigma, it is conversely true that stigma may be the cause of suicidality. The present paper focuses on the complex relationships that exist between suicidal behaviour and stigmatizing attitudes. Methods: a narrative review of the topic will be presented on the basis of the relevant literature collected from an electronic search of PubMed, ISI Web of Knowledge and Scopus databases, sing stigma, public stigma, structural stigma, perceived stigma, self-stigma, suicide, attempted suicide, suicidality as key words. Results: a negative perception is frequently held of suicidal people, labelling them as weak and unable to cope with their problems, or selfish. Individuals who have attempted suicide are subject to similar processes of stigmatisation and "social distancing"; insurance policies include an exclusion clause against death by suicide. Subjects with a direct personal experience of depression or suicide strongly endorse a feeling of self-stigma; those who have attempted suicide are often ashamed and embarrassed by their behavior, and tend to hide the occurrence as much as possible. Similar processes are observed amongst family members of subjects who have committed suicide or made a suicide attempt, with a higher perceived stigma present in those bereaved by suicide. Perceived or internalized stigma produced by mental or physical disorders, or through belonging to a minority group, may represent a significant risk factor for suicide, being severely distressing, reducing self-esteem and acting as a barrier in help-seeking behaviours. Conclusions: With the aim of preventing suicide, greater efforts should be made to combat the persisting stigmatizing attitudes displayed towards mental disorders and suicide itself . Indeed, the role of stigma as a risk factor for suicide should further motivate and spur more concerted efforts to combat public stigma and support those suffering from perceived or internalized stigma. Experts and scientific societies should form an alliance with the media in an effort to promote a marked change in the societal perception of mental health issues and suicide. As stigma may result in severe consequences, specialist care and psychological interventions should be provided to populations submitted to stigma

Background: To evaluate the association between mood and anxiety disorders and thyroid autoimmunity in a community sample. Methods: A community based sample of 222 subjects was examined. Psychiatric diagnoses were formulated using the International Composite Diagnostic Interview Simplified (CIDIS), according to DSM-IV criteria. All subjects underwent a complete thyroid evaluation including physical examination, thyroid echography and measure of serum free T4 (FT4), free T3 (FT3), thyroid-stimulating hormone (TSH) and anti-thyroid peroxidase autoantibodies (anti-TPO). Results: 16.6% of the overall sample had an anti-TPO value above the normal cut-off. Subjects with at least one diagnosis of anxiety disorders (OR = 4.2, C.L. 95% 1.9–38.8) or mood disorders (OR = 2.9, Cl 95% 1.4–6.6, P < 0.011) were positive for serum anti-TPO more frequently than subjects without mood or anxiety disorders. A statistically significant association with anti-TPO+ was found in Anxiety Disorder Not Otherwise Specified (OR = 4.0, CL 95% 1.1–15.5), in Major Depressive Episode (OR = 2.7, CL 95% 1.1–6.7) and Depressive Disorder Not Otherwise Specified (OR = 4.4, S CL 95% 1–19.3). Conclusions: The study seems to suggest that individuals in the community with thyroid autoimmunity may be at high risk for mood and anxiety disorders. The psychiatric disorders and the autoimmune reaction seem to be rooted in a same (and not easy correctable) aberrancy in the immuno-endocrine system. Should our results be confirmed, the findings may be of great interest for future preventive and case finding projects.

Precision medicine is increasingly recognized as a promising approach to improve disease treatment, taking into consideration the individual clinical and biological characteristics shared by specific subgroups of patients. In specific fields such as oncology and hematology, precision medicine has already started to be implemented in the clinical setting and molecular testing is routinely used to select treatments with higher efficacy and reduced adverse effects. The application of precision medicine in psychiatry is still in its early phases. However, there are already examples of predictive models based on clinical data or combinations of clinical, neuroimaging and biological data. While the power of single clinical predictors would remain inadequate if analyzed only with traditional statistical approaches, these predictors are now increasingly used to impute machine learning models that can have adequate accuracy even in the presence of relatively small sample size. These models have started to be applied to disentangle relevant clinical questions that could lead to a more effective management of psychiatric disorders, such as prediction of response to the mood stabilizer lithium, resistance to antidepressants in major depressive disorder or stratification of the risk and outcome prediction in schizophrenia. In this narrative review, we summarized the most important findings in precision medicine in psychiatry based on studies that constructed machine learning models using clinical, neuroimaging and/or biological data. Limitations and barriers to the implementation of precision psychiatry in the clinical setting, as well as possible solutions and future perspectives, will be presented.

154 consecutive subjects attending the Division of Psychiatry of the University of Cagliari (Italy), were screened for bipolar disorders using the Italian translation of the MDQ, and diagnostically interviewed with the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID) by physicians. On the basis of the SCID: 51 (33.1%) received a diagnosis of bipolar or schizoaffective bipolar type disorders, 63 (40.9%) were diagnosed as having at least one psychiatric disorder in Axis I (other than bipolar or schizoaffective bipolar type disorders), whilst 40 (25.9%) were unaffected by any type of psychiatric disorder. MDQ showed a good accuracy for bipolar or schizoaffective bipolar type disorders: the cut-off 4 had sensitivity 0.90 and specificity 0.58; the cut-off 5 had sensitivity 0.84 and specificity 0.70; and the cut-off 6 had sensitivity 0.76 and specificity 0.86. The accuracy for bipolar II disorders was sufficient but not excellent: the cut-off 4 had sensitivity 0.80 and specificity 0.45; the cut-off 5 had sensitivity 0.70 and specificity 0.55; and the cut-off 6 had sensitivity 0.55 and specificity 0.65. Our results seem to indicate a good accuracy of MDQ, and confirm the results of recent surveys conducted in the USA. Moreover the instrument needs to be validated in other settings (e.g. in general practice).

No controlled trials have evaluated the long term efficacy of exercise activity to improve the treatment of patients with Major Depressive Disorders. The aim of the present study was to confirm the efficacy of the adjunctive physical activity in the treatment of major depressive disorders, with a long term follow up (8 months).