Occurrence Of Mental Disorders Research Articles

The Importance of Social Support in the Occurrence of Mental Disorders in Patients Suffering from Psoriasis Vulgaris

Psoriasis represents a global issue affecting approximately 1% of the Caucasian population, contributing not only to aesthetic concerns but also to stigmatization, social isolation, and an overall decline in quality of life. The chronic inflammatory state in the patient's body predisposes them to a higher susceptibility to anxiety and depressive disorders. Novel treatment methods, particularly monoclonal antibodies, may serve as a bridge between physical and psychological benefits. The research addresses the issues of psychological disorders in patients with common psoriasis and explores the impact of various dimensions of social support on the course of the disease. Topics covered include the etiopathogenesis of psoriasis, the connection between this dermatosis and an increased frequency of psychological disorders, as well as the bidirectional relationship between both disease entities. Four studies, encompassing clinical, demographic, and psychosocial variables, underwent analysis. Each study description includes statistical analysis, operationalization of variables, and a section dedicated to drawing conclusions. In the discussion section, a strong correlation between social support and the psychological state of dermatological patients is demonstrated. An integrated approach to the therapeutic process and the benefits of a holistic approach to issues related to chronic inflammatory diseases are also discussed. The theory of bidirectional relations between psoriasis and depression opens new possibilities for clinicians and psychologists. The work emphasizes that utilizing proven stress coping strategies based on various dimensions of social support can be a significant protective factor against psychological disorders associated with psoriasis. These actions have the potential to impact not only the psychological well-being of the patient but also to reduce the severity of skin symptoms. In light of this hypothesis, the study emphasizes the implementation of effective coping strategies in challenging situations, contributing to the improvement of the quality of life for patients with common psoriasis.

Association between air pollutants and four major mental disorders: Evidence from a Mendelian randomization study

BackgroundExisting epidemiological studies have indicated a correlation between air pollutants and the occurrence of mental disorders. However, it is difficult to estimate the causal relationship between the two because of the limitations of traditional epidemiological research. In our study, we aimed to extensively explore the causal relationship between five types of air pollutants and four types of mental disorders. MethodsBased on the IEU OPEN GWAS database, we performed a two-sample MR analysis. The primary analysis method utilized was the inverse variance weighted (IVW) method, supplemented by the MR-Egger method and the weighted median method. Additionally, we conducted sensitivity analyses with the Cochran's Q statistic method, the leave-one-out method, and the MR-Egger intercept. We chose at least 4 GWAS datasets for each of the four psychiatric diseases and conducted a meta-analysis of our results of the MR analysis. ResultsThe meta-analysis's findings demonstrated a causal link between depression and PM2.5 (OR=1.020, 95 %CI: (1.010,1.030), P=0.001). PM10 and schizophrenia are also causally related (OR=1.136, 95 %CI: (1.034,1.248), P=0.008). Nitrogen oxides and bipolar disorder have a causal relationship (OR=1.002, 95 %CI: (1.000,1.003), P=0.022). Nitrogen oxides and schizophrenia have a high causal association (OR=1.439, 95 %CI: (1.183,1.752), P<0.001). ConclusionThis study observed a causal association between increased concentrations of PM2.5, PM10, and nitrogen oxides and the occurrence of depression, schizophrenia, and bipolar disorder. Our research findings have certain guiding implications for treating and preventing mental disorders.

Determinants of anxiety and depression disorders among patients with pulmonary arterial hypertension

Abstract Introduction Pulmonary arterial hypertension (PAH) is a rare chronic disease that, as it progresses, contributes to decreased ability to perform daily activities, deterioration of physical and mental well-being and social functioning. Patients with PAH experience anxiety and depression-like disorders that directly affect their quality of life. In view of the above, it is necessary to determine the determinants that affect the deterioration of mental functioning in this group of patients. Purpose The aim of the study was to determine the prevalence of anxiety and depression and their determinants. Material and methods The study included 89 patients , pulmonary arterial hypertension (PAH), who participated in the Therapeutic Treatment of Pulmonary Arterial Hypertension program by the National Health Service. Patients were asked to complete a standardized questionnaire (HADS) to assess Anxiety and Depression and a self-report questionnaire assessing sociodemographic factors and severity of symptoms. Medical data were taken from the hospital registry. Results In the study group, the mean anxiety score (HADS-A) was M=5.33 (SD=3.31), and the mean depression score (HADS-D) was M=4.4 (SD=3.78), indicating their low level of severity. Significant levels of the studied mood disorders are observed in one in five patients covered by the NHF drug program. Factors significantly (p&amp;lt;0.05) correlating with the severity of anxiety symptoms were chest pain (r=0.343), weakness (r=0.256), fatigue (r=0.327), MWT score 6 (r= -0.266), and arrhythmias (r=0.42). In addition to the above-mentioned factors, significant correlations (p&amp;lt;0.05) were obtained with the severity of depressive symptoms, for such factors as WHO FC Class (r=0.427), eldery age (r=0.263), NT-pro BNP (r=0.239). Conclusions Drug and depressive disorders in the study group of PAH patients are not common and may affect one in five patients (study participants on PAH treatment). The occurrence of anxiety disorders correlates with many PAH symptoms, sociodemographic and clinical factors. Learning about the factors associated with the occurrence of mental disorders can help to better identify them and prevent their occurrence.

Occupational Exposure to Pesticides and the Occurrence of Mental Disorders: A Systematic Review of the Literature

Pesticides use has allowed an increase in food productivity. However, harmful effects on human health have been reported, such as mental illness, especially in the rural population. In this context, the present work systematically reviewed the literature on the occurrence of depressive and anxiogenic disorders in farmers occupationally exposed to pesticides. The guidelines recommended by PRISMA were adopted, using the PICO strategy. The platforms used for the search were PUBMED, SCOPUS, and Google Scholar, with works published since 2002 to 2020. The inclusion criteria adopted considered crosssectional and longitudinal studies, published only in English, whose investigation evaluated human exposure to pesticides and the occurrence of mental illness. After applying the inclusion filters, nine studies were selected. The combined studies reported that 5.681 farmers were occupationally exposed to pesticides. The main illnesses reported were depression and/or anxiety, accompanied by symptoms such as headaches, respiratory diseases, and mental fatigue. Despite the incidence of other factors such as cigarette use, lack of personal protective equipment, and socioeconomic components, occupational exposure to pesticides is directly associated with depression. It was also noted that the intensity, frequency, and duration of exposure if combined with the number of acute intoxications, potentiates the development of depressive conditions

A pilot study on AI-driven approaches for classification of mental health disorders.

The increasing prevalence of mental disorders among youth worldwide is one of society's most pressing issues. The proposed methodology introduces an artificial intelligence-based approach for comprehending and analyzing the prevalence of neurological disorders. This work draws upon the analysis of the Cities Health Initiative dataset. It employs advanced machine learning and deep learning techniques, integrated with data science, statistics, optimization, and mathematical modeling, to correlate various lifestyle and environmental factors with the incidence of these mental disorders. In this work, a variety of machine learning and deep learning models with hyper-parameter tuning are utilized to forecast trends in the occurrence of mental disorders about lifestyle choices such as smoking and alcohol consumption, as well as environmental factors like air and noise pollution. Among these models, the convolutional neural network (CNN) architecture, termed as DNN1 in this paper, accurately predicts mental health occurrences relative to the population mean with a maximum accuracy of 99.79%. Among the machine learning models, the XGBoost technique yields an accuracy of 95.30%, with an area under the ROC curve of 0.9985, indicating robust training. The research also involves extracting feature importance scores for the XGBoost classifier, with Stroop test performance results attaining the highest importance score of 0.135. Attributes related to addiction, namely smoking and alcohol consumption, hold importance scores of 0.0273 and 0.0212, respectively. Statistical tests on the training models reveal that XGBoost performs best on the mean squared error and R-squared tests, achieving scores of 0.013356 and 0.946481, respectively. These statistical evaluations bolster the models' credibility and affirm the best-fit models' accuracy. The proposed research in the domains of mental health, addiction, and pollution stands to aid healthcare professionals in diagnosing and treating neurological disorders in both youth and adults promptly through the use of predictive models. Furthermore, it aims to provide valuable insights for policymakers in formulating new regulations on pollution and addiction.

Genetically predicted processed meat, red meat intake, and risk of mental disorders: A multivariable Mendelian randomization analysis

BackgroundPrevious observational studies have highlighted potential links between the consumption of processed meat and red meat (such as pork, mutton, and beef intake) and the occurrence of mental disorders. However, it is unclear whether a causal association exists. Therefore, we employed the Mendelian randomization (MR) study to investigate the causal effects of genetically predicted processed meat and red meat on mood disorders (MD), anxiety disorders (AD), and major depressive disorder (MDD). MethodsGenetic instruments for processed and red meat were selected from the Genome-Wide Association Study (GWAS) of the UK Biobank Study. Their associations with MD (42,746 cases 254,976), AD (35,385 cases and 254,976 controls), and MDD (38,225 cases and 299,886 controls) were obtained from the FinnGen Consortium. The inverse variance weighted (IVW) method was the primary method for two-sample MR analysis. Additionally, we employed complementary analysis to assess the robustness of our MR findings (eg, MR Egger and weighted median). We also conducted multiple sensitivity analyses to investigate horizontal pleiotropy and heterogeneity. Moreover, we performed a univariate and multivariable MR (MVMR) study to evaluate these associations. ResultsIn our univariate MR analysis, we observed that genetically predicted beef intake was associated with a reduced risk of MD [odds ratio (OR) = 0.403, 95 % confidence interval (CI) = 0.246–0.659; PIVW = 4.428 × 10−5], AD (OR = 0.443, 95 % CI = 0.267–0.734; PIVW = 1.563 × 10−3), and MDD (OR = 0.373, 95 % CI = 0.216–0.643; PIVW = 3.878 × 10−4). After adjusting for processed meat, pork, and mutton intake in the MVMR analysis, the protective association of beef intake against MD and MDD remained. However, there was no substantial evidence indicating a significant causal relationship between processed meat, pork, and mutton intake and the occurrence of mental disorders. Furthermore, our sensitivity analysis revealed no significant evidence of horizontal pleiotropy. ConclusionThese findings support a causal relationship between genetically predicted beef intake and reducing the risk of MD and MDD.

Analysis of the relationship of various pathologies with the degree of multifractality of electrical activity of the brain

The review is devoted to the analysis of the relationship between dynamic changes in patterns of electrical activity of the brain during the occurrence of mental disorders in the form of paranoid schizophrenia and depression and in patterns of brain activity in cardiovascular pathology associated with permanent atrial fibrillation, as well as indicators of multifractality of the studied patterns. To assess these indicators of electroencephalographic patterns, we describe a method of multifractal analysis based on the search for maxima of wavelet coefficient modules, and to isolate the fractal component of the signal in the power spectrum we describe a method of autospectral analysis with irregular resampling. It has been shown that the main differences between the multifractal properties of the electrical activity of the brain in health and in pathology are the different widths of the multifractality spectrum and its location, associated with different types of sequential pattern values. In this regard, the multifractality indicators can serve as informative markers of neuronal disorders and can be included in a set of tests for studying various pathologies.

An In Silico Investigation of the Molecular Interactions between Volatile Anesthetics and Actin.

Volatile anesthetics (VAs) are medicinal chemistry compounds commonly used to enable surgical procedures for patients who undergo painful treatments and can be partially or fully sedated, remaining in an unconscious state during the operation. The specific molecular mechanism of anesthesia is still an open issue, but scientific evidence supports the hypothesis of the involvement of both putative hydrophobic cavities in membrane receptors as binding pockets and interactions between anesthetics and cytoplasmic proteins. Previous studies demonstrated the binding of VAs to tubulin. Since actin is the other major component of the cytoskeleton, this study involves an investigation of its interactions with four major anesthetics: halothane, isoflurane, sevoflurane, and desflurane. Molecular docking was implemented using the Molecular Operating Environment (MOE) software (version 2022.02) and applied to a G-actin monomer, extrapolating the relative binding affinities and root-mean-square deviation (RMSD) values. A comparison with the F-actin was also made to assess if the generally accepted idea about the enhanced F-to-G-actin transformation during anesthesia is warranted. Overall, our results confirm the solvent-like behavior of anesthetics, as evidenced by Van der Waals interactions as well as the relevant hydrogen bonds formed in the case of isoflurane and sevoflurane. Also, a comparison of the interactions of anesthetics with tubulin was made. Finally, the short- and long-term effects of anesthetics are discussed for their possible impact on the occurrence of mental disorders.

Provision of E-Modules on Adolescent Mental Health Understanding

&#x0D; &#x0D; &#x0D; &#x0D; Mental health frequently receives inadequate attention and is often disregarded by individuals who tend to prioritize physical health over mental well-being. The occurrence of mental disorders in adolescents (aged 15-24 years) is associated with a depression rate of 6.2%. Severe depression tends to lead to self-harm and suicide. Approximately 80-90% of suicide cases can be attributed to depression and anxiety.&#x0D; A comprehensive understanding of adolescent mental health is essential for determining appropriate actions to make adolescents aware that mental health is equally essential. Preventing mental health issues in adolescents is crucial for avoiding further mental disorders or psychological problems. Prevention can be effectively achieved through health education for adolescents, enabling them to comprehend the significance of their mental health.&#x0D; E-modules provide an ideal medium for reaching adolescents, as they adapt conventional modules by incorporating information technology, making them more engaging and interactive. This enhances their appeal as an engaging and interactive learning resource. Digital modules (e-modules) enriched with audiovisual technology are expected to apprehend students' interests and create a conducive learning environment.&#x0D; The research objective was to investigate the effect of E-modules on adolescents' understanding of mental health. The study adopted a quantitative approach, using a quasi-experimental research design with a pre-posttest without control, conducted through intervention with a single group. The study was conducted at SMP 8 Surakarta and data were collected before and after the intervention. Data analysis employed the Wilcoxon test was used to obtain a significant result with a p-value of 0.01 (p &lt; 0.05). Based on these findings, E-modules affected adolescents' mental health acquaintances.&#x0D; &#x0D; &#x0D; &#x0D; &#x0D;

Calcification of the Pineal Gland and Psychopathology in Obsessive-Compulsive Disorder in Children and Adolescents: A Clinical Case Study

While it is generally believed that they result from the interaction of genetic and environmental factors, some cases of obsessive-compulsive disorder (OCD) can be attributed to specific neurological etiologies. Hence, the interest of this article, which discusses the case of a 13-year-old child, who has been experiencing sleep disturbances since early childhood and is seeking treatment for an obsessive syndrome with severe symptoms and a poor therapeutic response. An assessment revealed the presence of pineal gland calcification. Despite the patient being placed on a suitable treatment for obsessive-compulsive disorder, their symptoms only improved after the addition of melatonin, resulting in a significant enhancement in both their sleep and obsessive-compulsive symptoms on the Yale-Brown Scale. Thus, this article highlights the role of the pineal gland in melatonin secretion and also discusses the role of this hormone in the occurrence of mental disorders as well as its therapeutic attributes in psychiatry.

Validation of the Iranian version of the Postpartum Specific Anxiety Scale 12-item research short-form for use during global crises (PSAS-IR-RSF-C)

BackgroundDue to its high pervasiveness and adversarial consequences, postpartum anxiety has been one of the most worrying public health concerns in the last decade. According to previous research, the occurrence of mental disorders among women in the postpartum period upsurges significantly in the course of universal disasters. The Postpartum Specific Anxiety Scale – Research Short Form – for use in global Crises [PSAS-IR-RSF-C] has not been used in Iran for postpartum women during a health system shock. Consequently, this study was conducted to determine the validity and reliability of the Persian version (PSAS-IR-RSF-C) during the COVID-19 pandemic.MethodsThis cross-sectional study was performed with 180 women who were between six weeks and six months after delivery, by random sampling method from December 2021 to June 2022. The validity of the PSAS-RSF-C in terms of face, content, was analyzed, and the construct validity was assessed using exploratory and confirmatory factor analyses. Internal consistency and test–retest reliability of the questionnaire were measured using (Cronbach’s alpha, McDonald’s ω) and intraclass correlation coefficient (ICC), respectively.ResultsThe content validity index and content validity ratio of the Persian version of the PSAS-IR-RSF-C were 0.96 and 0.98, respectively. A three-factor structure was extracted during the exploratory factor analysis process, and model validity was confirmed by the values of fit indices. Cronbach's alpha coefficient, McDonald’s ω and intra-cluster correlation coefficient (95% confidence interval) were 0.74, 0.92 (0.78 to 0.93) and 0.97 (0.93 to 0.98), respectively.ConclusionsFor the specific assessment of postpartum anxiety among Iranian women during crises, the Persian version of the PSAS-IR-RSF-C is a valid and reliable tool.

Sleep Deprivation Induces Dopamine System Maladaptation and Escalated Corticotrophin-Releasing Factor Signaling in Adolescent Mice.

Sleep disruption is highly associated with the pathogenesis and progression of a wild range of psychiatric disorders. Furthermore, appreciable evidence shows that experimental sleep deprivation (SD) on humans and rodents evokes anomalies in the dopaminergic (DA) signaling, which are also implicated in the development of psychiatric illnesses such as schizophrenia or substance abuse. Since adolescence is a vital period for the maturation of the DA system as well as the occurrence of mental disorders, the present studies aimed to investigate the impacts of SD on the DA system of adolescent mice. We found that 72h SD elicited a hyperdopaminergic status, with increased sensitivity to the novel environment and amphetamine (Amph) challenge. Also, altered neuronal activity and expression of striatal DA receptors were noticed in the SD mice. Moreover, 72h SD influenced the immune status in the striatum, with reduced microglial phagocytic capacity, primed microglial activation, and neuroinflammation. The abnormal neuronal and microglial activity were putatively provoked by the enhanced corticotrophin-releasing factor (CRF) signaling and sensitivity during the SD period. Together, our findings demonstrated the consequences of SD in adolescents including aberrant neuroendocrine, DA system, and inflammatory status. Sleep insufficiency is a risk factor for the aberration and neuropathology of psychiatric disorders.

Food insecurity and its socioeconomic and health determinants in pregnant women and mothers of children under 2 years of age, during the COVID-19 pandemic: A systematic review and meta-analysis.

The COVID-19 pandemic has reduced access to adequate food in terms of quality and quantity, especially for the most vulnerable population groups. The objective of this study was to evaluate the prevalence of Food Insecurity and its main socioeconomic and health determinants in pregnant women and mothers of children under 2 years of age, during the COVID-19 pandemic. This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) and registered in the International Prospective Register of Systematic Reviews (PROSPERO) (CRD42021278033). The descriptors "Pregnant Woman", "Postpartum Women", "Breastfeeding Women", "COVID-19", "Food Insecurity", "Food Security" were combined in Scopus (Elsevier), Medline/PubMed (via National Library of Medicine), Embase (Elsevier), Web of Science and Science Direct independently by two researchers in September 2022. Original articles about Food Insecurity in households with pregnant women and mothers of children under 2 years of age during the COVID-19 pandemic were included. The meta-analysis of the prevalence of Food Insecurity was conducted using the RStudio software (4.0.4). The initial search resulted in 539 records, and 10 articles met the proposed criteria and were included in this review. The prevalence of Food Insecurity ranged from 11.5 to 80.3% and in the meta-analysis it was 51% (IC: 30-71) (I 2 = 100.0%). The main socioeconomic and health determinants were ethnicity, domain language, low education, low income, informal employment, unemployment, occurrence of mental disorders, domestic violence, in addition to the unavailability of food in markets and lack of transport. The inclusion of studies with data collection by telephone stands out as a limitation, due to the non-inclusion of vulnerable groups without access to this means of communication. It is necessary to implement and strengthen specific public policies for the maternal and child group with the objective of protecting and strengthening the rights of women to maintain the physical and mental integrity of this group and guarantee Food Security.

Comparison of depressive, anxiety, and somatic symptoms in patients with essential thrombocythemia, polycythemia vera, and myelofibrosis treated with interferon alpha

Introduction: The study aims to analyze the occurrence of depression, anxiety, and somatic symptoms in patients with chronic myeloproliferative neoplasms (essential thrombocythemia, polycythemia vera, and myelofibrosis) and to check whether individual side effects of interferon alpha treatment may contribute to the occurrence of depression, anxiety, and somatic symptoms. In addition, it was decided to check whether there were any relationships between age, gender, duration of treatment, and the intensity of anxiety, divided by the occurrence of individual side effects. Material and methods: The study involved 84 patients and was conducted at the Hematology Clinic of the University Hospital in Krakow and the Clinic of Hematology, Blood Cancer and Bone Marrow Transplantation in Wrocław. The following questionnaires were used: created by the author, David Goldberg General Health Questionnaire 28 (GHQ-28), and the Four-Dimensional Questionnaire (4DSQ). Results: The most frequently reported side effects of treatment were abdominal pain, fatigue, and bone and joint pain. Almost 40% of the respondents obtained a moderately and strongly increased result on the depression scale, less than 50% on the anxiety scale, and over 60% on the somatization scale. Somatic symptoms had the greatest impact on the occurrence of mental disorders, with anxiety symptoms being second in significance. There are differences in the severity of depressive, anxiety, and somatic symptoms depending on the side effects of interferon alpha treatment. Conclusions: The finding of the above study indicates the need for further research into the importance of detecting depressive, anxiety, and somatic disorders, and to addressing concomitant physical symptoms, both in patients with myeloproliferative neoplasms receiving interferon alpha and treated with other methods. In patients treated chronically, the occurrence of side effects of high intensity and lasting for a long time should alert medical personnel. The collected data on patients with myeloproliferative neoplasms who have to suffered from mental and physical symptoms of the disease or its treatment justifies the need for caring psychological, psychiatric, and educational care.

A Retrospective Study on Sexual Assault - Abuse Cases

Objective: In this study; it is aimed to analyze the sexual attack-abuse cases that occurred in Bolu province and were judged by the High Criminal Court. &#x0D; Methods: A total of 148 cases of sexual assault - abuse decided by the Bolu High Criminal Court between 2007 and 2016 were analyzed retrospectively.&#x0D; Results: This study included 148 cases: 131 (88.5%) cases were female and 17 (11.5%) were male. The mean age was 18.6 ± 11.6 (min:4, max:83). The highest number of cases was in the 13-15 age group (n=52, 35.2%). Sexual abuse most frequently occurred through vaginal penetration (n=72: 48.6%). The most common psychiatric diagnosis was acute stress disorder (n:12, 10.8%) and post-traumatic stress disorder (n:12, 10.8%). Physical violence was found to be statistically effective (p = 0.008) in the occurrence of mental disorders after the event. The victim recognized 81.8% of the attacker.&#x0D; Conclusion: We think that more effective sexual attack-abuse prevention strategies can be developed at the national level by determining the risk factors of sexual assault-abuse in our country through wider research to be conducted across the country.

Chronic stress-induced depression requires the recruitment of peripheral Th17 cells into the brain

BackgroundDepression is a recurrent and devastating mental disease that is highly prevalent worldwide. Prolonged exposure to stressful events or a stressful environment is detrimental to mental health. In recent years, an inflammatory hypothesis has been implicated in the pathogenesis of stress-induced depression. However, less attention has been given to the initial phases, when a series of stress reactions and immune responses are initiated. Peripheral CD4+ T cells have been reported as the major contributors to the occurrence of mental disorders. Chronic stress exposure-evoked release of cytokines can promote the differentiation of peripheral CD4+ cells into various phenotypes. Among them, Th17 cells have attracted much attention due to their high pathogenic potential in central nervous system (CNS) diseases. Thus, we intended to determine the crucial role of CD4+ Th17 cells in the development of specific subtypes of depression and unravel the underpinnings of their pathogenetic effect.MethodsIn the present research, a daily 6-h restraint stress paradigm was employed in rats for 28 successive days to mimic the repeated mild and predictable, but inevitable environmental stress in our daily lives. Then, depressive-like symptoms, brain–blood barrier (BBB) permeability, neuroinflammation, and the differentiation and functional changes of CD4+ cells were investigated.ResultsWe noticed that restrained rats showed significant depressive-like symptoms, concomitant BBB disruption and neuroinflammation in the dorsal striatum (DS). We further observed a time-dependent increase in thymus- and spleen-derived naïve CD4+ T cells, as well as the aggregation of inflammatory Th17 cells in the DS during the period of chronic restraint stress (CRS) exposure. Moreover, increased Th17-derived cytokines in the brain can further impair the BBB integrity, thus allowing more immune cells and cytokines to gain easy access to the CNS. Our findings suggested that, through a complex cascade of events, peripheral immune responses were propagated to the CNS, and gradually exacerbated depressive-like symptoms. Furthermore, inhibiting the differentiation and function of CD4+ T cells with SR1001 in the early stages of CRS exposure ameliorated CRS-induced depressive-like behaviour and the inflammatory response.ConclusionsOur data demonstrated that inflammatory Th17 cells were pivotal in accelerating the onset and exacerbation of depressive symptoms in CRS-exposed rats. This subtype of CD4+ T cells may be a promising therapeutic target for the early treatment of stress-induced depression.

Association between Psychiatric disorders &amp; Substance use disorder in rehabilitation center of Islamabad: A cross-sectional study

IntroductionThe prevalence of substance use disorder has rapidly increased recently. It is believed that the occurrence of mental disorders is strongly associated with substance use.ObjectivesTo identify prevelance of different psychiatric mobidity &amp; symptomatology as Comorbidity amon the diagnosed patients of Substance Use DisorderMethodsThis study was conducted from June till December 2021. A total of 486 PDUs were recruited for this study. A self-administered questionnaire was distributed among PDUs admitted at the Rehabilitation Centre during the period of the study. The questionnaire inquired about the demographic details of the PDUs, their substance history and the occurrence of any MDs.ResultsThe mean age of the PDUs was 25.9 + 6.0 years. A total of (95%) men and (5%) women reported their gender. There were single (74.7%), married (23.1%), divorced (1.4%) and separated (0.7%) PDUs. A large majority of the PDUs (n = 159, 55.6%) had been using different drugs for more than three years. The various MDs reported among the PDUs were delusion (n = 100, 35.2%); paranoia (n = 51, 17.8%); mania (n = 36, 12.6%); depression (n = 156, 54.5%); (n = 100, 35.2%); auditory hallucinations (n = 73, 25.7%); visual hallucinations (n = 106, 37.3%) and anxiety (n = 46, 16.2%). Among 164 cannabis users, hallucinations (n = 35, 21.3%; p = 0.04) was the only significant MD.ConclusionsDelusion and paranoia were amongst the most highly prevalent MDs reported. The occurrence of auditory hallucinations, mania and paranoia were significantly associated with cannabis, heroin and cocaine use, respectively.DisclosureNo significant relationships.

Pharmacists' mental health during the SARS-CoV-2 pandemic in Italy.

The year 2020 was characterized by the outbreak of a new pandemic caused by a novel coronavirus named SARS-CoV-2. To face the pandemic, many countries worldwide imposed general lockdowns, closing all non-essential businesses. As primary care services, pharmacies had to remain open, thus putting pharmacy staff at significant risk of viral infection and overwork. This study aimed to assess the mental health of Italian Pharmacists, considering demographic and occupational characteristics, lifestyle, and habits, during the SARS-CoV-2 outbreak and the subsequent lockdown period (March-May 2020). A web-based survey was created using Google® Forms to collect data from March 30, 2020, to June 1, 2020. The questionnaire consisted of three sections investigating: (1) demographic and occupational variables, (2) lifestyle and habits variables, (3) psychological distress and perceived well-being. A total of 401 participants completed the questionnaire. Older workers and those with more work experience reported more psychological stress. Older and female workers, who felt lonely at home and reported psychological stress, perceived poor well-being. Our findings demonstrate that the Sars-CoV-2 outbreak and subsequent lockdown rules affected pharmacists' mental health and that it is important to put in place preventive measures against the occurrence of mental disorders among them.

Stressor-Specific Microbiota Intervention.

To date, mental disorders are diagnosed and treated by the subjective judgment of psychiatrists based on diagnostic criteria and treatment guidelines, respectively. Mental disorders are heterogeneous illnesses with a substantial treatment-refractory rate. Thus, there is a great need for novel treatment approaches. This article proposes a treatment approach centered on the concept of the gut–brain axis. There is mounting evidence indicating an association between stressors, microbiota, microglia, and mental disorders. Stressors might facilitate dysbiosis, inflammation, and the occurrence of mental disorders. This novel treatment approach is based on the idea that stressor types instead of the heterogeneous psychiatric diagnosis might be closer to the neurobiological underpinnings of mental disorders. First of all, patients with treatment-resistant mental disorders will be asked to describe their major stressors. Then, clinicians will calculate the total threat score and the total deprivation score. Subsequently, treatment tailored to the major stressor type will be administered to restore a healthy gut microbiome. Presumably, treatment will be aimed at increasing microbiota diversity in those who mainly have deprivation stressors and boosting Actinobacteria in those who have mainly threat stressors. Large-scale clinical trials are warranted to test this hypothetical approach.

Predictors of Mental health in Pregnant Women: Application of the theory of planned behavior

Aim. The purpose of this study was to predictors of mental health in pregnant women based on theory of planned behavior referred to Iran health centers during the COVID-19 in 2021.&#x0D; Materials and methods. This study was cross-sectional study thatwas conducted on 250 pregnant women. Pregnant women completed General Health Questionnaire (GHQ) and theory of planned behavior questionnaire. The data were analyzed with SPSS software version 20 (SPSS Inc., Chicago, IL, USA) through running Pearson Correlation statistical tests, descriptive statistics methods including frequency, percentage, mean, standard deviation scores. The Kruskal-Wallis test was used for normally distributed variable. The significance level of the tests was considered to be 0.05.&#x0D; Results. There was a significant correlation between mental health disorders and some personal and socioeconomic factors. The findings showed that all structures attitude (r=0.69, p0.001), subjective norms (r=0.58, p0.001) and perceived behavioral control (r=0.56, p0.001) and intention (r=0.51, p0.001) had significant correlations with mental health. Among the variables entered into the regression model, attitude, subjective norms and perceived behavioral control were able to predict 65 percent of variance of mental health among the participants (F=60.75, R=0.66, R2=0.65).&#x0D; Conclusion. It is necessary to plan for appropriate care in order to prevent the occurrence of mental disorders among this vulnerable group.