Prevalence of homosexual and bisexual orientation in patients with borderline personality disorder and associated factors - a systematic review and meta-analysis.

Introduction: This meta-analysis aimed to quantitatively evaluate the association between homosexual and bisexual orientation and borderline personality disorder (BPD), including factors contributing to the association and clinical outcomes of homosexual and bisexual patients with BPD.

Methods: We systematically searched PUBMED, PsycINFO, Cochrane Library, MEDLINE, EMBASE and Web of Science for cross-sectional or cohort studies comparing the prevalence of homosexual and bisexual orientation amongst patients with BPD and controls.

Results: Our search identified 7 eligible studies, with a total sample case of 636 subjects with BPD and 535 subjects without BPD.

Post-traumatic stress disorder and symptoms in paediatric cancer survivors and their family nucleus: systematic review, meta-analysis and meta-regression.

Background: Various studies have highlighted the increased incidence and symptoms of depression and anxiety in paediatric cancer survivors (PCS). Yet no meta-analysis has focused on post-traumatic stress disorder (PTSD) or post-traumatic stress symptoms (PTSS) in PCS and their family nucleus.

Aims: To evaluate the overall risk of PTSD and severity of PTSS in PCS and their family nucleus.

Depression and Eye Disease-A Narrative Review of Common Underlying Pathophysiological Mechanisms and their Potential Applications.

Depression has been shown to be associated with eye diseases, including dry eye disease (DED), cataracts, glaucoma, age-related macular degeneration (AMD), and diabetic retinopathy (DR). This narrative review explores potential pathophysiological connections between depression and eye disease, as well as its potential correlations with ocular parameters. : A literature search was conducted in August 2022 in PUBMED, EMBASE, and PsycINFO.

Educational interventions to reduce depression and anxiety in older adults with cancer in the community: a systematic review, meta-analysis and meta-regression of randomised controlled trials.

Background: Older adults make up half of those with cancer and are prone to mood disorders, such as depression and severe anxiety, resulting in negative repercussions on their health-related quality-of-life (HRQOL). Educational interventions have been shown to reduce adverse psychological outcomes. We examined the effect of educational interventions on the severity of psychological outcomes in older adults with cancer (OAC) in the community.

Using an Interpretable Amino Acid-Based Machine Learning Method to Enhance the Diagnosis of Major Depressive Disorder.

Major depressive disorder (MDD) is a leading cause of disability worldwide. At present, however, there are no established biomarkers that have been validated for diagnosing and treating MDD. This study sought to assess the diagnostic and predictive potential of the differences in serum amino acid concentration levels between MDD patients and healthy controls (HCs), integrating them into interpretable machine learning models.

Association of depression with all-cause and cancer-specific mortality in older adults with cancer: Systematic review, meta-analysis, and meta-regression.

Introduction: The incidence and mortality of cancer is increasing worldwide with studies reporting that cumulative risk of cancer rises as age increases. Against the backdrop of the increasing prevalence of cancer amongst older patients, we conducted a systematic review and meta-analysis examining the depression-mortality relationship in older adults with cancer (OAC).

Materials And Methods: This PRISMA-adherent systematic review involved a systematic search of PubMed, Medline, EMBASE, and PsycINFO for prospective and retrospective cohort studies comparing the risk of all-cause and cancer-related mortality among OAC with depression.

Interpretable deep learning model for major depressive disorder assessment based on functional near-infrared spectroscopy.

Background: Major depressive disorder (MDD) affects a substantial number of individuals worldwide. New approaches are required to improve the diagnosis of MDD, which relies heavily on subjective reports of depression-related symptoms.

Aim: Establish an objective measurement and evaluation of MDD.

Psychological and social impacts of frontotemporal dementia on caregivers and family members - A systematic review.

Introduction: Frontotemporal dementia (FTD) may impose substantial psychological and social burdens on caregivers and family members that are unique from other forms of dementia due to its distinctive clinical characteristics. This systematic review investigated these impacts on caregivers and family members.

Methods: A systematic search was conducted in the PubMed, Cochrane Library and Embase databases for relevant articles published from database inception to 23 March 2023.

Case report: Creutzfeldt-Jakob disease presenting with anxiety symptoms in a COVID-19 post-infection patient.

Creutzfeldt-Jakob Disease (CJD) is a rare, rapidly progressive, and fatal neurodegenerative disorder. We describe a man whose initial manifestations of CJD occurred shortly after contracting Coronavirus disease 2019 (COVID-19). He first developed anxiety and short-term memory loss a few weeks after a mild COVID-19 infection.

Severity and Longitudinal Course of Depression, Anxiety and Post-Traumatic Stress in Paediatric and Young Adult Cancer Patients: A Systematic Review and Meta-Analysis.

Background: A diagnosis of cancer and treatment may constitute a highly traumatic period for paediatric cancer patients (PYACPs). However, no review has comprehensively analysed how the mental health of PYACPs is acutely affected and the longitudinal course.

Methods: This systematic review followed PRISMA guidelines.

The Utility of Amino Acid Metabolites in the Diagnosis of Major Depressive Disorder and Correlations with Depression Severity.

Major depressive disorder (MDD) is a highly prevalent and disabling condition with a high disease burden. There are currently no validated biomarkers for the diagnosis and treatment of MDD. This study assessed serum amino acid metabolite changes between MDD patients and healthy controls (HCs) and their association with disease severity and diagnostic utility.

Depression and anxiety in older adults with cancer: Systematic review and meta-summary of risk, protective and exacerbating factors.

Objective: To systematically evaluate the risk factors of depression and anxiety in older adults with cancer.

Method: This PRISMA-adherent systematic review (PROSPERO CRD42022372747) involved a systematic database search for prospective and retrospective cohort studies.

Results: We included 33 cohort studies with 31 evaluating depression and seven evaluating anxiety.

The diagnostic utility of miRNA and elucidation of pathological mechanisms in major depressive disorder.

Aims: Our study aims to explore how miRNAs can elucidate the molecular mechanisms of major depressive disorder (MDD) by comparing the miRNA levels in the blood serum of patients with depression and healthy individuals. It also explores the potential of miRNAs to differentiate between depressed patients and healthy controls.

Methods: 60 healthy controls (n = 45 females) were matched to 60 depressed patients (n = 10 unmedicated) for age (±7), sex, ethnicity, and years of education.

Transcranial alternating current stimulation and its effects on cognition and the treatment of psychiatric disorders: a systematic review and meta-analysis.

Background: Transcranial alternating current stimulation (TACS) is a non-invasive method of brain stimulation that is hypothesised to alter cortical excitability and brain electrical activity, modulating functional connectivity within the brain. Several trials have demonstrated its potential in treating psychiatric disorders such as depression and schizophrenia.

Objectives: To study the efficacy of TACS in ameliorating symptoms of depression and schizophrenia in patients and its effects on cognition in patients and healthy subjects compared to sham stimulation.

Association of Hearing Aids and Cochlear Implants With Cognitive Decline and Dementia: A Systematic Review and Meta-analysis.

Importance: Hearing loss is associated with cognitive decline. However, it is unclear if hearing restorative devices may have a beneficial effect on cognition.

Objective: To evaluate the associations of hearing aids and cochlear implants with cognitive decline and dementia.

Global prevalence of depression and anxiety in patients with hepatocellular carcinoma: Systematic review and meta-analysis.

Background/aims: Depression and anxiety are associated with poorer outcomes in patients with hepatocellular carcinoma (HCC). However, the prevalence of depression and anxiety in HCC are unclear. We aimed to establish the prevalence of depression and anxiety in patients with HCC.

A Review of the Effectiveness, Feasibility, and Acceptability of Art Therapy for Children and Adolescents during the COVID-19 Pandemic.

Art therapy has been widely offered to reduce symptoms of psychological disturbance. Pooled evidence about its effectiveness in epidemic contexts, particularly during the COVID-19 pandemic, has not been yet established. This study reviewed the effectiveness, feasibility, and acceptability of art therapy on children and adolescents during the COVID-19 pandemic and past epidemics.

Medical students' perception towards mental health recovery: a descriptive qualitative study.

The conceptualisation of recovery in mental healthcare, for which two definitions ('clinical' and 'personal') prevail, remains inconclusive. In most curricula of medical education, undergraduates are taught straightforward concepts of clinical recovery, which result in their perfunctory and rudimentary understanding. A qualitative descriptive approach was adopted to explore medical undergraduates' perceptions of recovery for people with mental health conditions.

Machine Learning in Health Promotion and Behavioral Change: Scoping Review.

Background: Despite health behavioral change interventions targeting modifiable lifestyle factors underlying chronic diseases, dropouts and nonadherence of individuals have remained high. The rapid development of machine learning (ML) in recent years, alongside its ability to provide readily available personalized experience for users, holds much potential for success in health promotion and behavioral change interventions.

Objective: The aim of this paper is to provide an overview of the existing research on ML applications and harness their potential in health promotion and behavioral change interventions.