Mood disorders, anxiety, and suicidality in youth are increasing and rapid-acting treatments are urgently needed. One potential is ketamine or its enantiomer esketamine, which was FDA approved in 2019 to treat major depressive disorder with suicidality in adults. This systematic review evaluated the evidence for the clinical use of ketamine to treat mood disorders, anxiety, and suicidality in youth. The PRISMA guidelines were used, and a protocol registered prospectively ( https://osf.io/9ucsg/ ). The literature search included Pubmed/MEDLINE, Ovid/MEDLINE, Scopus, CINAHL, PsychInfo, and Google Scholar. Trial registries and preprint servers were searched, and authors contacted for clarification. Studies reported on the clinical use of ketamine to treat anxiety, depression, bipolar disorder, or suicidality in youth ≤19 years old and assessed symptoms before and after ketamine use. Study screening and data extraction were conducted independently by 2-4 authors. Safety, tolerability, and efficacy data were collected. The Cochrane Risk of Bias guidelines assessed the quality of the evidence. Twenty-two published reports based on 16 studies were identified: 7 case studies, 6 observational studies, 3 randomized trials, and 6 secondary data analyses. Studies reported immediate improvements in depression, anxiety, and suicidality. Improvements were maintained for weeks-months following treatment. Ketamine was well-tolerated with the most common side effects being dizziness, nausea, and mild dissociation. Transient hemodynamic changes were reported, all of which resolved quickly and did not require medical intervention. Initial evidence suggests ketamine is safe and may be effective for mood disorders, anxiety, and suicidality in youth. Further randomized trials are warranted.

The effectiveness of universal preventive approaches in reducing the incidence of affective/psychotic disorders is unclear. We therefore aimed to synthesise the available evidence from randomised controlled trials. For studies reporting change in prevalence, we simulated all possible scenarios for the proportion of individuals with the disorder at baseline and at follow-up to exclude them. We then combined these data with studies directly measuring incidence and conducted random effects meta-analysis with relative risk (RR) to estimate the incidence in the intervention group compared to the control group. Eighteen studies (k=21 samples) were included investigating the universal prevention of depression in 66,625 individuals. No studies were available investigating universal prevention on the incidence of bipolar/psychotic disorders. 63 % of simulated scenarios showed a significant preventive effect on reducing the incidence of depression (k=9 - 19, RR=0.75-0.94, 95 %CIs=0.55-0.87,0.93-1.15, p=0.007-0.246) but did not survive sensitivity analyses. There is some limited evidence for the effectiveness of universal interventions for reducing the incidence of depression but not for bipolar/psychotic disorders.

BACKGROUND: Women with polycystic ovary syndrome (PCO) suffer from psychological difficulties like bipolar disorder. Various studies in the literature report several prevalence rates of bipolar disorder in women with PCO, while there is no systematic review in this field. So, we designed this systematic review and meta-analysis to estimate the pooled prevalence and odds of bipolar disorder in women with PCO disease.
METHODS: PubMed, Scopus, EMBASE, Web of Science, Google Scholar, and references of the references, conference abstracts were comprehensively searched by two independent researchers. The search was done on May 1st, 2023.
RESULTS: A literature search revealed 438 records, 35 full texts were evaluated, and finally, 11 studies remained for systematic review. Totally, 73,102 women with PCO and 340,724 controls were evaluated. Among cases, 1471 had bipolar diagnosis vs. 4321 controls. The prevalence of bipolar disorder in women with PCO ranged between 0 and 27%, and the pooled prevalence was estimated as 4% (95% CI, 2-5%; I2, 99.3%, p < 0.001). The odds of bipolar disorder in women with PCO ranged between 0.98 and 8.78, and the pooled estimate was 2.06 (95% CI, 1.61-2.63) (I2, 85.6%; p < 0.001).
CONCLUSIONS: This systematic review and meta-analysis show that the pooled prevalence of bipolar disorder in women with PCO is 4%, and women with PCO are at a 2-fold higher risk of bipolar disorder.

Evidence reveals that people with mental illnesses have a greater risk of experiencing oral diseases such as dry mouth and dental caries and have greater oral treatment needs. This is related to multifactorial causes such as factors related to the condition itself, symptoms, side effects of polypharmacy, and a lack of accessibility to dental services. This article aims to provide a summary of the reported prevalence of the most common mental illnesses in Saudi Arabia (SA), such as schizophrenia, obsessive-compulsive disorder (OCD), bipolar disorders, and dementia. The article further aims to review the negative impacts of anti-psychotic medications on oral health and the role of dentists toward people with mental illnesses. PubMed, Scopus, and Google Scholar were searched using the following keywords: special care dentistry, schizophrenia, OCD, bipolar disorder, and dementia. The main inclusion criteria were any studies describing \"dental management of patients with mental illnesses\" and \"dental management of patients treated with anti-psychotic medications.\" Thematic analysis was used to summarize the findings of the included studies into main headings. Forty-eight articles/studies discussed dentistry, people with mental illnesses, and/or the negative impacts of psychotic medication on oral health. All studies were published between 1991 and 2021. In SA, the number of people with mental illnesses is increasing. Therefore, it is crucial for the dental team to understand the negative impacts of anti-psychotic medications on oral health, such as dry mouth and the increased risk of dental caries. This necessitates the need for regular dental visits and patient education on how they can mitigate the side effects of anti-psychotic medications on oral and general health.

OBJECTIVE: Dysfunctional attitudes (DA) are higher in depression; however, less is understood about their role in bipolar disorder (BD). This paper aimed to explore the presence of DA in BD in comparison to clinical and non-clinical groups. Also explored were the associations between DA and mood states of depression, mania or euthymia in BD.
METHODS: A systematic review and meta-analysis were conducted. A total of 47 articles were included in the systematic review of which 23 were included in the meta-analysis. The quality of each study was rated.
RESULTS: The meta-analysis showed significantly higher DA in BD than healthy controls (d = .70). However, no difference was observed between BD and unipolar participants (d = -.16). When reviewing mood state within BD, a significant mean difference was found between DA scores for euthymic and depressed participants (d = -.71), with those who were depressed scoring higher. Three studies found that psychological therapies significantly reduce DA in BD (d = -.38).
CONCLUSIONS: These findings imply not only that DA are both a characteristic of BD that is not as prevalent in healthy populations but also that a depressed mood state is associated with increased severity. This implies that DA could possibly go \'offline\' when mood symptoms are not present. Psychological therapies appear to reduce DA in BD. Implications for future research as well as practice-based implications are expanded on in the discussion.

BACKGROUND: Bipolar disorder (BD) is a mental disorder characterized by mood shifts from severe depression to mania. Pregnant women with BD may experience manic or depressive episodes, so they are usually concerned about the effects of BD on their pregnancy. The aim of this systematic review is to determine the effects of BD on maternal health and fetal health, weight, and development. It also addresses how BD affects the probability of incidence of pregnancy complications in women with bipolar compared with healthy controls.
METHODS: Seven electronic databases (Ovid MEDLINE, Embase, MIDRIS, APA PsychINFO, Scopus, Web of Science, and ScienceOpen) were searched, and 1728 eligible studies were identified. After deduplication, screening, and manual search processes, we included only 15 studies. Descriptive analysis, and calculation of the probability of incidence for each pregnancy outcome were used to analyze the results.
RESULTS: The findings of the included studies suggest that BD during pregnancy may affect both fetal growth and maternal health by increasing the risk of giving birth to an infant with some birth defects such as microcephaly, CNS problems, small for gestational age, and other congenital anomalies, in addition to causing some obstetric complications such as gestational hypertension, preterm labor, need for assisted delivery, hospital readmission, and others.
CONCLUSIONS: Bipolar disorder during pregnancy negatively affects mothers and their fetuses and increases the probability of incidence of obstetrics complications.

OBJECTIVE: To examine the risk of anxiety disorders in offspring of parents with mood disorders.
METHODS: We conducted a systematic review and meta-analysis. We searched 4 electronic databases (Medline, Embase, PsycINFO, and Web of Science [core collection]) to identify cross-sectional and cohort studies that examined the association between parental mood disorders (including bipolar disorder and unipolar depression) and risk of anxiety disorders in offspring. Pooled risk ratios (RRs) of overall and specific anxiety disorders were synthesized using a random effects model. Subgroup analyses and meta-regression were performed to identify moderation factors.
RESULTS: A total of 35 studies were included in the final analysis. Our results showed higher risks of all types of anxiety disorders in the offspring of parents with mood disorders (any anxiety disorder, RR = 1.82, 95% CI = 1.47-2.26), except for agoraphobia (RR = 1.08, 95% CI = 0.56-2.08), and with an especially elevated risk of panic disorder (RR = 3.07, 95% CI = 2.19-4.32). Subgroup analysis demonstrated no significant difference between the risks of anxiety disorders across the offspring of parents with bipolar disorder as opposed to unipolar depression. The absence of anxiety disorders in control parents, younger offspring age, and specific parent/offspring sex were associated with higher RRs for some anxiety disorders in offspring of parents with mood disorders.
CONCLUSIONS: Our findings suggest a robust relationship between parental mood disorders and offspring anxiety disorders, and highlight the potential value of prevention and early intervention for anxiety disorders in this context.
UNASSIGNED: We worked to ensure race, ethnic, and/or other types of diversity in the recruitment of human participants. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented racial and/or ethnic groups in science. While citing references scientifically relevant for this work, we also actively worked to promote inclusion of historically underrepresented racial and/or ethnic groups in science in our reference list.
UNASSIGNED: Anxiety Disorders in Offspring of Parents with Mood Disorders: A Systematic Review; https://www.crd.york.ac.uk/prospero/; CRD42021215058.

Growing evidence suggests there is a bidirectional relationship between depression and obesity, which are associated with structural and functional brain abnormalities. However, the underlying neurobiological mechanisms subserving the foregoing associations have yet to be characterized. It is necessary to summarize the neuroplastic brain changes in relation to depression and obesity. We systematically searched articles from 1990 to November 2022 on databases including MEDLINE/PubMed, Web of Science, PsycINFO. Only neuroimaging studies within the scope of potential differences in brain function and structure in individuals with depression and obesity/ BMI changes were included. Twenty-four eligible studies were included in the review herein, consisting of 17 studies reporting changes in brain structure, 4 studies reporting abnormal brain function, and 3 studies reporting both changes in brain structure and function. Results indicated an interaction between depression and obesity on brain functions, and their influence on brain structure is both extensive and specific. Overall, reduced whole brain, intracranial, and gray matter volume (e.g. frontal, temporal gyri, thalamic, and hippocampal) and impaired white matter integrity was observed in persons with depression and obesity comorbidity. Additional evidence on resting state fMRI reveals select brain regions associated with cognitive control, emotion regulation, and reward functions. Due to the diversity of tasks in task fMRI, the distinct neural activation patterns are revealed separately. The bidirectional relationship between depression and obesity reflects different characteristics in brain structure and function. Longitudinal designs should be reinforced in follow-up studies.

Several bipolar depression treatment guidelines have been designed to assist clinicians with medication selection. When ranking medications, none explicitly considered the inclusion/exclusion criteria or baseline severity scores of the reviewed clinical trials. This article aimed to determine if sufficient differences exist in these variables to justify their consideration when designing treatment guidelines.
Using Ovid and PubMed databases in May and September 2022, all published, short-term cross-over or parallel-group design studies comparing second generation antipsychotics (SGAs), mood stabilizers, or antidepressants versus placebo in bipolar depressed patients were identified. Included studies must have enrolled adult bipolar I/II depressed patients, randomized patients into two or more treatment groups, utilized a double-blind, prospective design written in English, and had primary outcome results that were statistically significant in favor of the investigational treatment.
Thirty studies met eligibility criteria, comprising a total of 8791 patients. Among those studies, there were seventeen antipsychotic trials, six lithium trials, one lamotrigine trial, three valproate trials, two carbamazepine trials, and two antidepressant trials. The analysis revealed substantial differences among the studies. Although this was seen among all the different drug classes, these differences are clearest when comparing the lithium trials to those of the SGAs.
Limitations included the selection of severity scores from the treatment arm with the most severe score and the exclusive focus on mood stabilizers, antidepressants, and SGAs.
Severity of the enrolled patient sample and treatment-resistance should be considered in addition to other factors when ranking medications in bipolar depression treatment guidelines.

Psychiatric and metabolic disorders are highly comorbid and the relationship between these disorders is bidirectional. The mechanisms underlying the association between psychiatric and metabolic disorders are presently unclear, which warrants investigation into the dynamics of the interplay between metabolism, substrate utilization, and energy expenditure in psychiatric populations, and how these constructs compare to those in healthy controls. Indirect calorimetry (IC) methods are a reliable, minimally invasive means for assessing metabolic rate and substrate utilization in humans. This review synthesizes the extant literature on the use of IC on resting metabolism in psychiatric populations to investigate the interaction between psychiatric and metabolic functioning. Consistently, resting energy expenditures and/or substrate utilization values were significantly different between psychiatric and healthy populations in the studies contained in this review. Furthermore, resting energy expenditure values were systematically overestimated when derived from predictive equations, compared to when measured by IC, in psychiatric populations. High heterogeneity between study populations (e.g., differing diagnoses and drug regimens) and methodologies (e.g., differing posture, time of day, and fasting status at measurement) impeded the synthesis of results. Standardized IC protocols would benefit this line of research by enabling meta-analyses, revealing trends within and between different psychiatric disorders.