Search Results (155)

Depression is a major global health issue that significantly contributes to the burden of disease. Despite the wealth of existing research on depression, several key aspects remain underexplored, including factors that predict the onset, severity, and recurrence of depressive symptoms. The purpose of the current study was to assess the sociodemographic correlates and risk and protective factors of depression using a representative sample of the Canadian population. The data were drawn from the 2017–2018 Canadian Community Health Survey (CCHS), a cross-sectional survey with a sample size greater than 113,000. Results from regression analyses identified sleep quality, social support, and perceived life satisfaction as protective factors for depression severity, while a current, self-reported diagnosis of an anxiety- or mood-related disorder was identified as a risk factor. Being younger emerged as the only pertinent sociodemographic risk factor for depression. Contrary to expectations, vigorous physical activity and sedentary behaviour did not significantly predict depression severity. Taken together, the results underscore the importance of identifying modifiable risk and protective factors to inform population-level mental health strategies (e.g., campaigns seeking to raise awareness regarding the importance of sleep, social support) to guide the development of targeted, evidence-based interventions. Full article

Psychedelic substances have experienced a resurgence of clinical interest in recent years, particularly for their promising effects in the treatment of psychiatric disorders such as depression and anxiety. While evidence regarding their role in chronic pain management remains limited, emerging studies suggest potential therapeutic benefits. This case report describes a patient with persistent somatoform pain disorder and recurrent depressive disorder who underwent four sessions of psilocybin-assisted psychotherapy. The intervention was associated with a reduction in the negative impact of pain on daily life, increased pain acceptance, improved quality of life, and reduction in depressive symptoms. These findings contribute to the growing body of literature suggesting that psychedelics, when combined with psychotherapy, may offer a novel and holistic approach to the treatment of chronic pain. Further controlled studies are needed to explore the safety, efficacy, and underlying mechanisms. Full article

High rates of depression and anxiety have been reported among patients with inflammatory bowel disease (IBD). The bidirectional relationship between these two conditions, with each affecting the progression of the other, leads to a reduced quality of life. The aim of this study was to identify a miRNA-based pattern that may either be unique to IBD or associated with this complex phenotype. The levels of 179 miRNAs were assessed using qRT-PCR in the plasma of individuals primarily diagnosed with recurrent depressive disorder (SAD), IBD patients (IBD), IBD patients showing symptoms of stress, anxiety, and depression (IBD + SAD), and a control group. Four miRNAs were found to be specifically associated with IBD and more than 20 miRNAs with SAD. Notably, the levels of five miRNAs (miR-223-3p, miR-1260a, miR-320d, miR-423-5p, and miR-486-5p) differed in all the comparisons. miR-342-3p and miR-125a-5p were identified as possible biomarkers able to discriminate between IBD and IBD + SAD. The identification of this pattern of miRNA specific to IBD + SAD could be useful for monitoring disease activity and progression in IBD patients struggling with psychiatric symptoms, which can negatively impact adherence to follow-up care. Full article

Background: This study aims to evaluate the efficacy of a combined transcranial magnetic stimulation (TMS) protocol incorporating intermittent theta burst stimulation (iTBS) and low-frequency TMS in adults diagnosed with first-episode and recurrent depressive disorders. Methods: A prospective, double-blind, parallel-group trial was conducted involving 42 participants (21 with first-episode depressive disorder and 21 with recurrent depressive disorder) recruited from Chengdu, China. All subjects received 10 sessions of TMS over two weeks. The primary outcome measure was suicidal ideation, assessed using the Beck scale for suicide ideation. Secondary outcomes included sleep quality, depressive symptoms, anhedonia, and cognitive function. Event-related potentials (ERPs) were also recorded. Data were analyzed using SPSS V.21.0, with statistical significance defined as p < 0.05. Results: Both patient groups exhibited significant reductions in suicidal ideation following the composite TMS intervention. Secondary outcomes showed significant improvements in sleep quality, overall depressive symptoms, anhedonia, and cognitive function. Notably, a significant association was found between improvements in sleep quality and depressive symptoms in the first-episode group, suggesting differential underlying mechanisms compared to recurrent depression. Limitations: The relatively short intervention and follow-up period limits the ability to assess the long-term sustainability of the observed benefits. Future studies with extended follow-up periods are warranted to evaluate the persistence of TMS effects and the potential need for maintenance sessions. Conclusions: The combined protocol of iTBS and low-frequency TMS effectively reduces suicidal ideation and improves various clinical outcomes in both first-episode and recurrent depressive disorders, indicating the effectiveness of the physical intervention, especially for the first-episode patients. These findings underscore the importance of personalized treatment strategies based on the clinical history of depressive episodes. Further research with longer follow-up periods is warranted to assess the long-term sustainability of TMS effects. Full article

The protozoan parasite Toxoplasma gondii (T. gondii) has been implicated in various neuropsychiatric disorders, including depression. Our aim in this study was to assess the seroprevalence of T. gondii IgG antibodies as well as potential risk factors associated with seropositivity in patients with depression compared to healthy blood donors. This seroepidemiological study included 230 participants from Western Romania, divided equally into two groups: 115 patients diagnosed with depressive disorders which represented the study group and 115 age and gender-matched healthy blood donors, representing the control group. A structured questionnaire was used to assess risk factors potentially linked to T. gondii infection. The T. gondii IgG antibodies overall seroprevalence was significantly higher in the depression group (70.43%) compared to the control group (45.22%) (OR = 2.89; 95% CI: 1.68–4.97; p < 0.001). Higher seropositivity was noted in patients aged 50–59, 60+ years and in females. Patients with lower educational attainment showed significantly increased odds of T. gondii seropositivity (72.29% vs. 44.3%, OR = 3.28; 95% CI: 1.71–6.31; p < 0.001) compared with the control group. Stratification by ICD-10 diagnostic subtypes revealed significantly higher seropositivity in all categories, with the strongest association in patients with recurrent severe depressive episodes without psychotic symptoms (F33.2) (81.25%, OR = 3.5; 95% CI: 1.51–8.13; p = 0.004). These findings suggest a possible link between T. gondii infection and depression, particularly in relation to disease severity and sociodemographic factors. To our knowledge, this is the first study to investigate T. gondii seroprevalence and associated risk factors in Romanian patients with depression, providing a foundation for future longitudinal and preventive research. Full article

Background/Objectives: This study is an investigation of the occurrence, remission and recurrence of major depressive disorders (MDDs) in adults with type 2 diabetes (T2DM). Methods: Interviews were conducted with individuals (N = 176) who met the criteria for MDD using the Structured Clinical Interview for the DSM-IV-TR (SCID). Results: N = 176 T2DM adults, with a mean (SD) age of 55.5 (10.4) years, 74% of whom were female and 62% were white, completed the Structured Clinical Interview for the DSM-IV-TR (SCID). A mean (SD) number of 1.8 (0.9) episodes of major depression (MDD) were recorded from birth to the date of interview, with a mean (SD) onset age of the first episode of 40.4 (15.9) years. Median (IQR) MDD episode duration was 13.9 (5.6–31.9) months and the median (IQR) cumulative lifetime exposure duration to MDD was 33 (12.9–63.1) months. Kaplan–Meier survival analysis along with the frailty model, to account for the correlation among multiple recurrences or remissions within a subject, indicated that the median first episode duration was shorter than the median second episode duration (14 vs. 37.9 months, p < 0.0001). Of those who had at least three episodes, the median second episode duration was shorter than the median third-episode duration (13.0 vs. 28.0 months, p = 0.006). The median recurrence time following first remission was significantly longer than the median recurrence time following second remission (138.0 vs. 80.6 months, p = 0.02). Conclusions: These results document that clinical depression is recurrent in adults with T2DM. Moreover, depressive episodes in individuals with T2DM are persistent well beyond episode durations observed in the general population. Full article

Background/Objectives: Emotional eating has been recognized as the tendency to eat in response to emotions, being recognized as a crucial risk factor for recurrent weight gain. Emotional eating has been interrelated with obesity/overweight, depression, anxiety, stress, and specific dietary habits at any stage of human life, negatively affecting human quality of life. The present study aims to summarize and explore the effects of emotional eating on children and how these effects may, in turn, influence their mental and physical health at the next stages of their lives. Methods: This is a narrative review of the presently existing clinical evidence concerning the impact of emotional eating in children. A comprehensive search of the most reliable online databases, e.g., PubMed, Scopus, Web of Science, and Google Scholar, was performed utilizing relevant keywords. Several inclusion and exclusion criteria were used to collect only cross-sectional, longitudinal, descriptive, and case–control surveys in children’s populations. Results: The current clinical evidence suggests that parental behavior may increase the risk of emotional eating in children. Several pieces of evidence also implied potential associations of emotional eating with overweight/obesity and mental disorders in children. Children’s dietary habits may also affect their risk of developing emotional eating. Conclusions: The prevalence of emotional eating is gradually increasing in the general population, and especially in children. Public strategies should be performed to educate parents to recognize potential emotional eating behaviors in their children and to adopt more healthy dietary habits for their children, even in the first months of their life. Educational programs should be organized in school communities to directly educate children on the benefits of healthy dietary patterns. Full article

Deep learning (DL) approaches to natural language processing (NLP) offer powerful tools for creating digital twins (DTs) of patients in psychiatry and neurological rehabilitation by processing unstructured textual data such as clinical notes, therapy transcripts, and patient-reported outcomes. Techniques such as transformer models (e.g., BERT, GPT) enable the analysis of nuanced language patterns to assess mental health, cognitive impairment, and emotional states. These models can capture subtle linguistic features that correlate with symptoms of degenerative disorders (e.g., aMCI) and mental disorders such as depression or anxiety, providing valuable insights for personalized treatment. In neurological rehabilitation, NLP models help track progress by analyzing a patient’s language during therapy, such as recovery from aphasia or cognitive decline caused by neurological deficits. DL methods integrate multimodal data by combining NLP with speech, gesture, and sensor data to create holistic DTs that simulate patient behavior and health trajectories. Recurrent neural networks (RNNs) and attention mechanisms are commonly used to analyze time-series conversational data, enabling long-term tracking of a patient’s mental health. These approaches support predictive analytics and early diagnosis by predicting potential relapses or adverse events by identifying patterns in patient communication over time. However, it is important to note that ethical considerations such as ensuring data privacy, avoiding bias, and ensuring explainability are crucial when implementing NLP models in clinical settings to ensure patient trust and safety. NLP-based DTs can facilitate collaborative care by summarizing patient insights and providing actionable recommendations to medical staff in real time. By leveraging DL, these DTs offer scalable, data-driven solutions to promote personalized care and improve outcomes in psychiatry and neurological rehabilitation. Full article

Background: Adjustment to stress requires the involvement of coping strategies. Using maladaptive coping strategies may precipitate the onset or recurrence of psychiatric disorders. On the other hand, the illness itself may alter the coping mechanisms of an individual. This study aims to identify the coping strategies in patients with bipolar disorder (BD) and major depressive disorder (MDD) and determine the correlation between coping strategies and clusters of psychiatric symptoms. Material and Methods: Socio-demographic and clinical data were analyzed for 30 inpatients with BD and 30 inpatients with MDD. The SCL-90 questionnaire and COPE inventory were filled in by the participants. Results: Compared to the general population, the patients with BD had lower scores for functional coping strategies and higher scores for one dysfunctional coping strategy. The patients with MDD had lower scores for all active functional and two passive functional coping strategies. By contrast, they presented higher scores on one passive functional and one dysfunctional coping strategy. Positive reinterpretation and growth were negatively correlated with somatization, depression, anxiety, interpersonal sensitivity, hostility, and psychoticism. Behavioral disengagement was positively correlated with depression, anxiety, somatization, interpersonal sensitivity, and psychoticism. Substance use was positively correlated with the number of episodes. Distinct coping mechanisms were associated with certain symptom clusters. Conclusions: Although dysfunctional coping strategies may predispose to psychiatric disorders, in our study, they appear to be state-dependent rather than trait-dependent. Full article

Depression is a mood disorder that is highly prevalent and is characterized by cognitive, emotional, and physical symptoms. This study aimed to describe the physical health status of individuals with depressive symptoms in Qatar and examine the relationships between physical health indicators and depressive symptoms. A cross-sectional correlational design was used, and data were extracted from the Qatar Biobank. Depression was measured using the Patient Health Questionnaire (PHQ-9). The physical health measurements included heart rate, blood pressure, lung capacity, body mass index (BMI), waist-to-hip ratio, and a self-reported questionnaire. The sample included 687 participants with an average age of 35.39 ± 9.82 years old. The comorbidities reported by participants included diabetes, hypertension, and hypercholesterolemia, and their prevalence ranged from 10 to 26.2%. The BMI data revealed that 38.6% of the participants were either overweight or obese. Approximately 29% of females and 22% of males had an abnormally high waist-to-hip ratio. The percentage of individuals who complained of recurrent chest pain, headache/migraine, or body pain ranged between 12.2 and 43.2%. The mean score of the PHQ-9 was 10.07 ± 4.05, and 43.1% of the sample reported having moderate to severe depression. Several factors were significantly related to depression scores: heart rate, waist-to-hip ratio, headache/migraine, chest pain, body pain, and recent weight change. Healthcare professionals should screen individuals for both depressive symptoms and physical symptoms. This may help in the earlier detection of mental illness and/or physical disease, and thus may ensure better recovery or prognosis and may prevent serious complications. Full article

Introduction: Migraine is a prevalent neurological disorder characterized by recurrent headaches with autonomic and neurological symptoms, significantly impacting quality of life globally. Its pathogenesis involves genetic, neurological, inflammatory, and metabolic factors, with insulin resistance and metabolic dysfunction increasingly recognized as important contributors. Historically, it has been known that certain foods can trigger migraine attacks, which led for many years to the recommendation of elimination diets—now understood to primarily target histamine-rich foods. Over the past two decades, attention has shifted toward underlying metabolic disturbances, leading to the development of dietary approaches specifically aimed at addressing these dysfunctions. Methods: A scoping literature review was conducted using PubMed and Embase to evaluate the relationships among migraine, insulin-related mechanisms, neurogenic inflammation, and dietary interventions. Initial searches focused on “MIGRAINE AND (neurogenic inflammation)” (2019–15 April 2025), followed by expanded searches from 1950 onward using terms such as “MIGRAINE AND (insulin, insulin resistance, hyperinsulinism)”, and “MIGRAINE AND (diet, dietary, nutrition, nutritional)”. A specific search also targeted “(INSULIN OR insulin resistance OR hyperinsulinism) AND (neurogenic inflammation)”. Abstracts were screened, full texts were retrieved, and duplicates or irrelevant publications were excluded. No filters were applied by article type or language. Systematic reviews and meta-analyses were prioritized when available. Results: Migraine pathogenesis involves trigeminovascular system activation, neurogenic inflammation mediated by CGRP and PACAP, immune dysregulation, mast cell activation, and cortical spreading depression (CSD). Emerging evidence highlights significant associations between migraine, insulin resistance, and hyperinsulinism. Hyperinsulinism contributes to migraine through TRPV1 sensitization, increased CGRP release, oxidative stress, mitochondrial dysfunction, and systemic inflammation. Metabolic dysfunction, including obesity and insulin resistance, exacerbates migraine severity and frequency. Dietary interventions, particularly anti-inflammatory, Mediterranean, and ketogenic diets, show promise in reducing migraine frequency and severity through mechanisms involving reduced inflammation, oxidative stress, improved mitochondrial function, and glucose metabolism stabilization. Conclusions: The interplay between insulin resistance, metabolic dysfunction, and neuroinflammation is crucial in migraine pathophysiology. Targeted dietary interventions, including ketogenic and Mediterranean diets, demonstrate significant potential in managing migraines, emphasizing the need for personalized nutritional strategies to optimize therapeutic outcomes. Full article

Mental health disorders represent a substantial global health concern, impacting millions and placing a significant burden on public health systems. Natural Language Processing (NLP) has emerged as a promising tool for analyzing large textual datasets to identify and predict mental health challenges. The aim of this scoping review is to identify the Arabic NLP techniques employed in mental health research, the specific mental health conditions addressed, and the effectiveness of these techniques in detecting and predicting such conditions. This scoping review was conducted according to the PRISMA-ScR (Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews) framework. Studies were included if they focused on the application of NLP techniques, addressed mental health issues (e.g., depression, anxiety, suicidal ideation) within Arabic text data, were published in peer-reviewed journals or conference proceedings, and were written in English or Arabic. The relevant literature was identified through a systematic search of four databases: PubMed, ScienceDirect, IEEE Xplore, and Google Scholar. The results of the included studies revealed a variety of NLP techniques used to address specific mental health issues among Arabic-speaking populations. Commonly utilized techniques included Support Vector Machine (SVM), Random Forest (RF), Decision Tree (DT), Recurrent Neural Network (RNN), and advanced transformer-based models such as AraBERT and MARBERT. The studies predominantly focused on detecting and predicting symptoms of depression and suicidality from Arabic social media data. The effectiveness of these techniques varied, with trans-former-based models like AraBERT and MARBERT demonstrating superior performance, achieving accuracy rates of up to 99.3% and 98.3%, respectively. Traditional machine learning models and RNNs also showed promise but generally lagged in accuracy and depth of insight compared to transformer models. This scoping review highlights the significant potential of NLP techniques, particularly advanced transformer-based models, in addressing mental health issues among Arabic-speaking populations. Ongoing research is essential to keep pace with the rapidly evolving field and to validate current findings. Full article

The enzyme 5,10-methylenetetrahydrofolate reductase (MTHFR) catalyzes the conversion of 5,10-methylenetetrahydrofolate to 5-methyltetrahydrofolate, a process essential for the methylation of homocysteine to methionine. Polymorphisms in the MTHFR gene can reduce enzyme activity, disrupting the folate cycle and leading to hyperhomocysteinemia. The two most common polymorphisms associated with this gene are 667C>T (rs1801133) and 1298A>C (rs1801131). Background: This review provides a comprehensive summary of the current knowledge regarding MTHFR polymorphisms, with a particular focus on their potential impact on disease susceptibility. We hope this review will serve as a valuable resource for understanding the significance of MTHFR polymorphisms and their complex relationships with various diseases. Methods: For this review, we prioritized recent evidence, focusing on reviews and meta-analyses published between 2015 and 2025, sourced from PubMed and Google Scholar. Results: We explore the connection between these polymorphisms and a broad spectrum of medical conditions, including cardiovascular diseases and oxidative stress pathology; neurological and psychiatric disorders, such as Autism Spectrum Disorder, Alzheimer’s disease, Schizophrenia, and Major Depressive Disorder; fertility, pregnancy, and neonatal complications, including recurrent pregnancy loss, pre-eclampsia, preterm birth, low birth weight, and neural tube defects; metabolic disorders, such as diabetes mellitus, inflammatory bowel disease, and non-alcoholic fatty liver disease; and oncological conditions, including breast, prostate, and ovarian cancers; as well as leukemia, and autoimmune diseases, particularly rheumatoid arthritis. Conclusions: While some diseases have a well-established association with MTHFR polymorphisms, others require further investigation. Our analysis highlights the crucial role of environmental factors, such as ethnic background and dietary folate intake, in influencing study outcomes. Full article

Recurrent and intense headache is a well appreciated cardinal feature of migraine, a common and incapacitating neurological disorder. Often, there are associated canonical sensory abnormalities, such as light and sound sensitivity, as well as associated nausea. Given this phenotype of disordered sensory processing and, in a third of patients, the phenomenon called aura accompanying migraine attacks, it has been suggested that the pathophysiology of migraine is likely to involve glutamate, the main excitatory neurotransmitter in the central nervous system (CNS). Glutamate plays a role in nociception, central sensitization, and cortical spreading depression (CSD), three processes that are deemed important in migraine biology. With an emphasis on the therapeutic potential of targeting various glutamate receptors in migraine, this review will discuss the currently available literature and emerging findings on the role of targeting glutamatergic pathways for the treatment of migraine. A thorough literature review was carried out on the functions of both metabotropic glutamate receptors (mGluRs), and the ionotropic glutamate receptors (NMDA, AMPA, and kainate) in migraine pathogenesis. The ever-present need for new treatments, the role of glutamate in the migraine aura phenomenon, and the consequences of monogenic migraine mutations on mediating prolonged, complex, or permanent aura are all discussed, culminating in a suggestion that glutamatergic targeting may hold particular promise in the management of migraine aura. There are plausible roles for metabotropic receptors in regulating pain processing in important migraine-related brain structures, like the thalamus and trigeminal nucleus. Similarly, ionotropic receptors contribute to excitatory neurotransmission and neuronal hyperexcitability. Recent studies have shown preclinical and early clinical results for treatments targeting these receptors, but there are still significant issues with treatment response, including drug transport, side effects, and efficacy. With ongoing and emerging discoveries in the field, there is increasing promise of new migraine medications targeting glutamate receptors. For bench to bedside translation in this area, continued study of the molecular basis of migraine, receptor subtypes, and exploration of potential drug delivery methods are needed. Full article

Background/Objectives: Post-traumatic stress disorder (PTSD) can develop after exposure to real or perceived threats to life and is characterized by symptoms including intrusive thoughts, hyperarousal, and emotional numbness. While PTSD is well-studied in populations affected by disasters and combat, the impact of serious medical conditions like cancer and its treatments remain under-researched. Due to the aggressive nature of the disease, fear of recurrence, and disfiguring nature of treatments, patients with head and neck cancer (HNC) may experience a real or perceived risk of death. This systematic review synthesizes current knowledge on PTSD in patients with HNC. Methods: A systematic review was conducted per PRISMA guidelines. Five databases (PubMed, EMBASE, SCOPUS, CINAHL, and COCHRANE) were searched for studies describing PTSD in patients with and survivors of HNC. Studies with PTSD diagnosis and/or symptom data specific to patients with HNC were included. Results: Of 80 studies, 14 met the inclusion criteria. The most commonly used scale was the PTSD Checklist-Civilian Version. The prevalence of PTSD ranged from 8% to 41% across the studies. No significant differences were found with regards to PTSD prevalence by HNC tumor site, disease stage, or treatment modality. Two studies identified significant associations between PTSD after treatment and depression at the time of diagnosis. Patients with PTSD who received cognitive behavioral therapy showed improvement in their PTSD symptoms compared to those who did not. Conclusions: PTSD is common in individuals with HNC; however, the lack of a standardized approach to diagnosing PTSD in patients with and survivors of HNC creates challenges in identifying patients who may benefit from treatment. Given that HNC is the seventh most common cancer worldwide, with increasing incidence, there is a need to better understand the relationship between HNC and PTSD to allow for better PTSD screening, identification, and treatment to improve patients’ health-related quality of life and provide optimal patient care. Full article