World Journal of Psychiatry最新文献

Background: Cerebral small vessel disease (CSVD) is a prevalent cerebrovascular disease in clinical practice that is often associated with macrovascular disease. A clear understanding of the underlying causes of CSVD remains elusive.

Aim: To explore the association between intercellular adhesion molecule-1 (ICAM-1) and blood-brain barrier (BBB) penetration in CSVD.

Methods: This study included patients admitted to Fuyang People's Hospital and Fuyang Community (Anhui, China) between December 2021 and March 2022. The study population comprised 142 patients, including 80 in the CSVD group and 62 in the control group. Depression was present in 53 out of 80 patients with CSVD. Multisequence magnetic resonance imaging (MRI) and dynamic contrast-enhanced MRI were applied in patients to determine the brain volume, cortical thickness, and cortical area of each brain region. Moreover, neuropsychological tests including the Hamilton depression scale, mini-mental state examination, and Montreal cognitive assessment basic scores were performed.

Results: The multivariable analysis showed that age [P = 0.011; odds ratio (OR) = 0.930, 95% confidence interval (CI): 0.880-0.983] and ICAM-1 levels (P = 0.023; OR = 1.007, 95%CI: 1.001-1.013) were associated with CSVD. Two regions of interest (ROIs; ROI3 and ROI4) in the white matter showed significant (both P < 0.001; 95%CI: 0.419-0.837 and 0.366-0.878) differences between the two groups, whereas only ROI1 in the gray matter showed significant difference (P = 0.046; 95%CI: 0.007-0.680) between the two groups. ICAM-1 was significantly correlated (all P < 0.05) with cortical thickness in multiple brain regions in the CSVD group.

Conclusion: This study revealed that ICAM-1 levels were independently associated with CSVD. ICAM-1 may be associated with cortical thickness in the brain, predominantly in the white matter, and a significant increase in BBB permeability, proposing the involvement of ICAM-1 in BBB destruction.

Background: Research has found that the amygdala plays a significant role in underlying pathology of major depressive disorder (MDD). However, few studies have explored machine learning-assisted diagnostic biomarkers based on amygdala functional connectivity (FC).

Aim: To investigate the analysis of neuroimaging biomarkers as a streamlined approach for the diagnosis of MDD in adolescents.

Methods: Forty-four adolescents diagnosed with MDD and 43 healthy controls were enrolled in the study. Using resting-state functional magnetic resonance imaging, the FC was compared between the adolescents with MDD and the healthy controls, with the bilateral amygdala serving as the seed point, followed by statistical analysis of the results. The support vector machine (SVM) method was then applied to classify functional connections in various brain regions and to evaluate the neurophysiological characteristics associated with MDD.

Results: Compared to the controls and using the bilateral amygdala as the region of interest, patients with MDD showed significantly lower FC values in the left inferior temporal gyrus, bilateral calcarine, right lingual gyrus, and left superior occipital gyrus. However, there was an increase in the FC value in Vermis-10. The SVM analysis revealed that the reduction in the FC value in the right lingual gyrus could effectively differentiate patients with MDD from healthy controls, achieving a diagnostic accuracy of 83.91%, sensitivity of 79.55%, specificity of 88.37%, and an area under the curve of 67.65%.

Conclusion: The results showed that an abnormal FC value in the right lingual gyrus was effective as a neuroimaging biomarker to distinguish patients with MDD from healthy controls.

Background: Tourette syndrome (TS) is recognized as a neurodevelopmental disorder profoundly influenced by familial factors, particularly family functioning. However, the relationship among family functioning, tic severity, and quality of life in individuals with TS during childhood and adolescence remains unclear. We hypothesized that family functioning plays a role in the association between the severity of TS and quality of life in children.

Aim: To determine the role of family functioning in the relationship between TS severity and quality of life.

Methods: This study enrolled 139 children (male/female = 113/26) with TS. We assessed tic severity using the Yale Global Tic Severity Scale, quality of life via the Tourette Syndrome Quality of Life Scale, and family functioning through the Family Assessment Device. Our analysis focused on correlating these measures and exploring the mediating role of family functioning in the relationship between tic severity and quality of life. Additionally, we examined if this mediating effect varied by gender or the presence of comorbidity.

Results: We found that family communication dysfunction had a significant mediating effect between tic severity and both psychological symptoms (indirect effect: Β = 0.0038, 95% confidence interval: 0.0006-0.0082) as well as physical and activities of daily living impairment (indirect effect: Β = 0.0029, 95% confidence interval: 0.0004-0.0065). For vocal tic severity, this mediation was found to be even more pronounced. Additionally, in male participants and those without attention deficit hyperactivity disorder, the mediating effect of family communication dysfunction was still evident.

Conclusion: Our study highlights the impact of family functioning on the tic severity and the quality of life in children. This relationship is influenced by gender and comorbid conditions like attention deficit hyperactivity disorder.

Background: Neurodiverse students frequently encounter distinct challenges that can adversely affect their mental well-being. This research aimed to investigate emotional distress, depression, and anxiety among neurodiverse students, examine the interrelationships among these factors, and assess the impact of participant characteristics.

Aim: To address the problem of lack of data pointed out in the neurodiversity research in Nigeria, this study aims to examine the emotional distress, depression, and anxiety in neurodiverse students.

Methods: A cross-sectional study was carried out involving 200 neurodiverse students in Nigeria. Participants filled out self-report questionnaires that measured emotional distress (Brief Emotional Distress Scale for Youth), depression (Center for Epidemiologic Studies Depression Scale Revised), and anxiety (State-Trait Anxiety Inventory). The data were analyzed using descriptive statistics, correlation analyses, Bayesian Mann-Whitney U tests, two-way ANOVAs, and Kruskal-Wallis tests.

Results: Anxiety was found to have the highest prevalence (mean = 68.8), followed by depression (mean = 34.2) and emotional distress (mean = 26.3). Significant positive correlations were identified among all three mental health factors, with the strongest correlation observed between depression and anxiety (rho = 0.492, P < 0.001). Moderate evidence indicated gender differences in emotional distress (BF₁₀ = 2.448). The interaction between educational environment and diagnosis had a significant effect on emotional distress (F = 3.106, P = 0.017). Kruskal-Wallis tests indicated significant variations in anxiety levels across different educational settings (P = 0.002), although post-hoc comparisons did not reveal significant differences among specific settings.

Conclusion: This research emphasizes the prevalence of mental health challenges among neurodiverse students, particularly concerning anxiety. The intricate relationships among emotional distress, depression, and anxiety highlight the necessity for thorough mental health support. The impact of educational settings and diagnoses on mental health outcomes stresses the importance of customized interventions. These findings are significant for educators, mental health professionals, and policymakers in formulating targeted support strategies for neurodiverse students.

Background: Imipenem is a highly effective carbapenem antibiotic, which is widely used in the treatment of many serious bacterial infections. At the same time, it can also cause some adverse reactions, mental abnormalities are the most concerned central nervous system adverse reactions. Different patients respond differently to imipenem, and the effect of imipenem on psychiatric disorders is unclear. Therefore, meta-analysis summarizing the results of multiple previous studies can provide stronger evidence support for clinical guidelines to guide clinical rational use of imipenem to minimize risks.

Aim: To systematically review the effects of imipenem on mental-health disorders.

Methods: Method in Cochrane Library, Web of science, PubMed, ProQuest, and China's biomedical literature databases Wanfang, Weipu and China HowNet, the related literatures about the controlled trials of imipenem-induced mental disorders from the establishment of the database to May 2024 were searched; the included literatures were analyzed using RevMan 5.4 software; and the heterogeneity among the studies was also discussed.

Results: After reviewing the literature published between 2003 and 2017, seven controlled trials with a total of 550 patients were included, with 273 and 277 patients in the control and experimental groups, respectively. The sample size of the study ranged from a minimum of 30 cases to a maximum of 61 cases. Patients in the experimental group were treated with imipenem while the control group was treated with conventional drugs. Meta-analysis showed that the incidence of mental disorders in the experimental group was higher than that in the control group (odds ratio = 3.66, 95% confidence interval: 1.11-12.11, P = 0.030); however, there was no significant difference in the incidence of adverse reactions between the two groups (odds ratio = 0.05, 95% confidence interval: 0.00 to 0.10, P = 0.060). Funnel diagrams showed that the scattered points of each study were symmetrical and distributed in an inverted funnel shape; therefore, there was no publication bias.

Conclusion: Imipenem can cause mental disorders in patients. However, the low quality of the included literature may have affected the final results. Therefore, it is necessary to conduct a high-quality randomized controlled study with multiple samples to further confirm the mechanism of imipenem-induced mental disorders and provide effective guidance for clinical treatment.

Students are considered one of the groups most affected by psychological problems. Given the highly dangerous nature of mental illnesses and the increasingly serious state of global mental health, it is imperative for us to explore new methods and approaches concerning the prevention and treatment of mental illnesses. Large multimodal models (LMMs), as the most advanced artificial intelligence models (i.e. ChatGPT-4), have brought new hope to the accurate prevention, diagnosis, and treatment of psychiatric disorders. The assistance of these models in the promotion of mental health is critical, as the latter necessitates a strong foundation of medical knowledge and professional skills, emotional support, stigma mitigation, the encouragement of more honest patient self-disclosure, reduced health care costs, improved medical efficiency, and greater mental health service coverage. However, these models must address challenges related to health, safety, hallucinations, and ethics simultaneously. In the future, we should address these challenges by developing relevant usage manuals, accountability rules, and legal regulations; implementing a human-centered approach; and intelligently upgrading LMMs through the deep optimization of such models, their algorithms, and other means. This effort will thus substantially contribute not only to the maintenance of students' health but also to the achievement of global sustainable development goals.

Background: Major depressive disorder is a common mental disorder, characterized by a high rate of suicide and recurrence, which is frequently accompanied by cognitive impairments, particularly in executive function, memory, attention, and information processing speed. As such, improving the cognitive function in patients with depression and enhancing their quality of life are urgent issues.

Aim: To perform a systematic review and meta-analysis of the effects of exercise on cognitive function in patients with depression.

Methods: The PubMed, Web of Science, Cochrane Library, Embase, China National Knowledge Infrastructure, Wanfang Medical, VIP, and Biomedical Databases for randomized controlled trials (RCTs) databases were searched (from inception to October 19, 2023) for studies investigating improvements in cognitive function in patients with depression through exercise. Tools recommended by the Cochrane Handbook for RCT evaluation, and GRADEpro and Stata17 software, were employed for risk of bias assessment, evidence grading, forest plot construction, subgroup and sensitivity analyses, and assessment of publication bias.

Results: Seventeen RCTs (1173 patients with depression) were included. Exercise had a small but significant positive effect on attention, with an effect size of 0.21, 95%CI: 0.07-0.34, P < 0.01. Specifically, aerobic exercise regimens of 30-60 minute/session, thrice a week, at moderate intensity, and sustained over 3-12 weeks, were associated with the most pronounced benefits (P < 0.05), with effect sizes for executive function, memory, and information processing speed of 0.11, 95%CI: -0.11-0.32, P = 0.34; 0.08, 95%CI: 0.00-0.16, P = 0.05; and 0.14, 95%CI: 0.04-0.25, P = 0.01, respectively. The evidence levels for attention, information processing speed, and memory were rated as 'low,' whereas that for executive function was rated as 'very low'.

Conclusion: Exercise could improve attention and information-processing speed in patients with depression, although improvements in executive function and memory are not significant.

Background: The incidence of breast cancer is high, with serious implications in terms of lives and health. Relevant data show that there are approximately 1 million new cases of breast cancer reported annually, with a rising trend. Some patients have poor treatment effects and are prone to anxiety and other negative emotions, which affect their quality of life (QoL).

Aim: To explore the correlation between mental resilience, QoL, and anxiety in patients with breast cancer.

Methods: Using convenience sampling, 200 patients with breast cancer were selected from the First Affiliated Hospital of Hebei North University. These patients were investigated using the Conner-Davidson Resilience Scale, Self-Rating Anxiety Scale, and European Organization for Research and Treatment of Cancer Quality of Life Questionnaire to analyze the impact of resilience in patients with breast cancer on their QoL and anxiety.

Results: The mean (SD) mental resilience score of the patients with breast cancer was 59.68 (± 9.84) points, the anxiety score was 49.87 (± 8.26) points, and the QoL score was 59.73 (± 8.29) points. Overall, they showed low mental resilience, mild anxiety, and medium QoL. Anxiety was negatively correlated with mental resilience and QoL (r = -0.275, r = -0.289, P < 0.05). QoL was positively correlated with mental resilience (r = 0.513, P < 0.05). Anxiety was a mediating variable between mental resilience and QoL, accounting for 8.58% of the mediating effect.

Conclusion: Regarding psychological elasticity, anxiety plays an intermediary role in QoL among patients with breast cancer. Medical staff can improve patients' mental resilience by reducing their anxiety and improving their QoL.

Background: As the incidence of diabetes continues to increase, the number of patients with diabetic retinopathy (DR) also increases each year. After undergoing vitrectomy for DR, patients often experience negative emotional problems that negatively affect their recovery.

Aim: To investigate negative feelings in patients with DR after vitrectomy and to explore related influencing factors.

Methods: A total of 146 individuals with DR who were accepted for treatment at The Third People's Hospital of Changzhou from May 2021 to April 2023 were recruited to participate in this study. All patients underwent vitrectomy. The self-rating anxiety scale (SAS) and self-rating depression scale (SDS) were used to assess the degree of anxiety and depression 2-3 days after the operation. The participants were divided into a healthy control group and a negative emotion group. The patients' general demographic characteristics and blood glucose levels were collected. Logistic regression analysis was used to analyze the factors influencing negative feelings post-operation. Pearson's correlation coefficient was used to analyze the association between SAS scores, SDS scores, and blood glucose levels.

Results: The control group included 85 participants. The negative emotion group comprised 40 participants with anxiety, 13 with depression, and eight with both. Logistic regression showed that being female (OR = 3.090, 95%CI: 1.217-7.847), a family per capita monthly income of < 5000 yuan (OR = 0.337, 95%CI: 0.165-0.668), and a longer duration of diabetes (OR = 2.068, 95%CI: 1.817-3.744) were risk factors for negative emotions in patients with DR after vitrectomy (P < 0.05). The concentrations of fasting plasma glucose (FPG), 2-hour postprandial glucose (2hPG), and glycated hemoglobin (HbA1c) in the negative emotion group exceeded those in the control group (P < 0.05). SAS scores were positively associated with FPG (r = 0.422), 2hPG (r = 0.334), and HbA1c (r = 0.362; P < 0.05). SDS scores were positively correlated with FPG (r = 0.218) and 2hPG (r = 0.218; P < 0.05).

Conclusion: Sex, income level, and duration of diabetes were factors that influenced negative emotions post-vitrectomy. Negative emotions were positively correlated with blood glucose levels, which can be used to develop intervention strategies.