Promotion of good mental health, prevention, and early intervention before/at the onset of mental disorders improve outcomes. However, the range and peak ages at onset for mental disorders are not fully established. To provide robust, global epidemiological estimates of age at onset for mental disorders, we conducted a PRISMA/MOOSE-compliant systematic review with meta-analysis of birth cohort/cross-sectional/cohort studies, representative of the general population, reporting age at onset for any ICD/DSM-mental disorders, identified in PubMed/Web of Science (up to 16/05/2020) (PROSPERO:CRD42019143015). Co-primary outcomes were the proportion of individuals with onset of mental disorders before age 14, 18, 25, and peak age at onset, for any mental disorder and across International Classification of Diseases 11 diagnostic blocks. Median age at onset of specific disorders was additionally investigated. Across 192 studies (n = 708,561) included, the proportion of individuals with onset of any mental disorders before the ages of 14, 18, 25 were 34.6%, 48.4%, 62.5%, and peak age was 14.5 years (k = 14, median = 18, interquartile range (IQR) = 11–34). For diagnostic blocks, the proportion of individuals with onset of disorder before the age of 14, 18, 25 and peak age were as follows: neurodevelopmental disorders: 61.5%, 83.2%, 95.8%, 5.5 years (k = 21, median=12, IQR = 7–16), anxiety/fear-related disorders: 38.1%, 51.8%, 73.3%, 5.5 years (k = 73, median = 17, IQR = 9–25), obsessive-compulsive/related disorders: 24.6%, 45.1%, 64.0%, 14.5 years (k = 20, median = 19, IQR = 14–29), feeding/eating disorders/problems: 15.8%, 48.1%, 82.4%, 15.5 years (k = 11, median = 18, IQR = 15–23), conditions specifically associated with stress disorders: 16.9%, 27.6%, 43.1%, 15.5 years (k = 16, median = 30, IQR = 17–48), substance use disorders/addictive behaviours: 2.9%, 15.2%, 48.8%, 19.5 years (k = 58, median = 25, IQR = 20–41), schizophrenia-spectrum disorders/primary psychotic states: 3%, 12.3%, 47.8%, 20.5 years (k = 36, median = 25, IQR = 20–34), personality disorders/related traits: 1.9%, 9.6%, 47.7%, 20.5 years (k = 6, median = 25, IQR = 20–33), and mood disorders: 2.5%, 11.5%, 34.5%, 20.5 years (k = 79, median = 31, IQR = 21–46). No significant difference emerged by sex, or definition of age of onset. Median age at onset for specific mental disorders mapped on a time continuum, from phobias/separation anxiety/autism spectrum disorder/attention deficit hyperactivity disorder/social anxiety (8-13 years) to anorexia nervosa/bulimia nervosa/obsessive-compulsive/binge eating/cannabis use disorders (17-22 years), followed by schizophrenia, personality, panic and alcohol use disorders (25-27 years), and finally post-traumatic/depressive/generalized anxiety/bipolar/acute and transient psychotic disorders (30-35 years), with overlap among groups and no significant clustering. These results inform the timing of good mental health promotion/preventive/early intervention, updating the current mental health system structured around a child/adult service schism at age 18.

Objective People with mood disorders have increased risk of comorbid medical diseases versus the general population. It is paramount to identify interventions to improve physical health in this population. Methods Umbrella review of meta-analyses of randomised controlled trials (RCTs) on pharmacological/non-pharmacological interventions for physical health outcomes/intolerability-related discontinuation in mood disorders (any age). Results Ninety-seven meta-analyses were included. Among youths, against placebo, in depression, antidepressants/antipsychotics had higher discontinuation rates; in bipolar depression, olanzapine+fluoxetine worsened total cholesterol (TC)/triglycerides/weight gain (WG) (large ES). In adults with bipolar disorder, olanzapine worsened HbA1c/TC/WG (moderate/large ES); asenapine increased fasting glucose (small ES); quetiapine/cariprazine/risperidone induced WG (small/moderate ES). In bipolar depression, lurasidone was metabolically neutral. In depression, psychological interventions improved physical health-related quality of life (PHQoL) (small ES), fasting glucose/HbA1c (medium/large ES); SSRIs improved fasting glucose/HbA1c, readmission for coronary disease, pain (small ES); quetiapine/aripiprazole/olanzapine induced WG (small to large ES). Exercise improved cardiorespiratory fitness (moderate ES). In the elderly, fluoxetine yielded more detrimental cardiovascular effects than sertraline/escitalopram (large ES); antidepressants were neutral on exercise tolerance and PHQoL. In mixed age groups, in bipolar disorder aripiprazole was metabolically neutral; in depression, SSRIs lowered blood pressure versus placebo and serotonin-noradrenaline reuptake inhibitors (small ES); brexpiprazole augmentation caused WG and was less tolerated (small ES); exercise improved PHQoL (moderate ES). Conclusions Some interventions (psychological therapies, exercise and SSRIs) improve certain physical health outcomes in mood disorders, few are neutral, but various pharmacological interventions are associated with negative effects. Evidence from this umbrella review has limitations, should consider evidence from other disorders and should be integrated with recent evidence from individual RCTs, and observational evidence. Effective treatments with either beneficial or physically neutral profiles should be prioritized.

PurposeClozapine represents the criterion standard therapy for patients with treatment-resistant schizophrenia. Unfortunately, a significant percentage of such patients are also partial responders to clozapine. Consequently, several augmentation strategies have been proposed with various and sometimes controversial efficacy. Among these add-on treatments, lurasidone has been recently introduced and could represent a potential option, especially for the additional positive effect on cognitive symptoms.MethodsThis case series aims to determine possible advantages of lurasidone augmentation in four patients treated with clozapine, who were diagnosed with treatment-resistant schizophrenia. Positive and Negative Syndrome Scales were used to evaluate psychopathology, the Udvalg for Kliniske Undersøgelser scale for tolerability and safety.FindingAll patients achieved a significant reduction of both positive and negative symptoms, with no significant adverse effects to be reported.ImplicationsOur observation suggests that lurasidone can lead to clinically significant improvements in psychopathology with a good tolerability profile when added to clozapine.

No significant differences are present in terms of severity, showing that PTSD is a disabling disorder regardless the type of event that triggers it; however, a significant difference in terms of duration of the disorder leads to reflec on the importance of an early diagnostic process aimed toward the victims of terrorism, in order to avoid the risk of chronicity and progression to other psychiatric disorders such as depression.

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ObjectivesThe association between post-traumatic stress disorder (PTSD) and medical comorbidities is controversial since most studies focused on specific comorbidity and victim types. In Italy, data on this issue are scarce. A comprehensive evaluation of all the ICD medical categories co-occurring in PTSD may orient assessment and treatment during clinical and forensic practice. This is the first study evaluating all the ICD physical comorbidities and gender-related differences in Italian PTSD patients. Eighty-four PTSD patients (36 females, 48 males) were included. The Clinician-Administered PTSD Scale, Mini International Neuropsychiatric Interview and Davidson Trauma Scale were administered.ResultsMost patients had a PTSD consequent to an accident and half of them presented extreme symptom severity. No gender differences emerged on symptom severity/duration and age at the event. Metabolic (39.29%), circulatory (20.24%) and musculoskeletal systems/connective tissue diseases (17.86%) were the most frequent comorbidities. Metabolic/circulatory diseases were more frequent among males (p = 0.019 and p = 0.027, respectively) while females more frequently showed neoplasms (p = 0.039). Physical comorbidities represent a serious complication in PTSD patients and are more prevalent than in the Italian population. While gender is not associated with symptom presentation, it seems to play a key role in specific comorbidities including metabolic, circulatory and neoplastic diseases.

Background There is extensive evidence for volumetric reductions in the hippocampus in patients with anorexia nervosa (AN), however the impact on function is unclear. Pattern separation and recognition are hippocampus-dependent forms of learning thought to underlie stimulus discrimination. Methods The present study used the Mnemonic Similarity Task to investigate pattern separation and recognition for the first time in patients with AN (N = 46) and healthy controls (N = 56). An Analysis of Covariance examined between-group differences, controlling for age, antidepressant use and method of task delivery (remote vs. in person). Results When controlling for covariates, pattern recognition memory scores were lower in the AN group with a medium effect size (d = 0.51). In contrast, there was a small effect whereby patients with AN had a greater pattern separation score than controls (d = 0.34), albeit this difference was not significant at the p = 0.05 threshold (p = 0.133). Furthermore, pattern separation and recognition memory abilities were not related to age, body mass index, eating disorder psychopathology or trait anxiety levels. Conclusions This preliminary study provides initial evidence for an imbalance in pattern separation and recognition abilities in AN, a hippocampus-dependent cognitive ability. Further studies should endeavour to investigate pattern separation and recognition performance further in AN, as well as investigate other hippocampus-dependent functions.

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