The relationship between mental health problems and risk of infectious diseases: A Mendelian randomization analysis.

The causal effects of mental health problems on the risk of infectious diseases remain vague. Investigating them via observational study is challenging as it presents possible confounding factors. Therefore, the objective of this study was to utilize Mendelian randomization (MR) techniques to evaluate the causal relationship between mental health problems and the risk of infectious diseases. Multivariable MR analyses were performed using genome-wide association data for sleep disorders (N = 216,700), depression (N = 500,199), anxiety (N = 290,361), nervous feelings (N = 450,700), unspecified mental disorder (N = 218,792), pneumonia (N = 486,484), skin and subcutaneous tissue infection (SSTI; N = 218,792), intestinal infectious diseases (IIDs; N = 218,792), urinary tract infection (N = 463,010), and central nervous system (CNS) infections (N = 218,792) among individuals of European ancestry. Independent genetic variants significantly (P < 10-8) associated with each exposure were considered instruments. The primary analysis used an inverse variance-weighted method, followed by a series of sensitivity analyses. Genetically predicted sleep disorders were associated with an increased risk of SSTI (odds ratio [OR], 1.29 [95% confidence interval (CI), 1.05-1.59]; P = .017). Genetically predicted depression was linked with an increased risk of CNS infections (OR, 1.59 [95% CI, 1.00-2.53]; P = .049) and SSTI (1.24 [95% CI, 1.03-1.49]; P = .024). Genetically predicted anxiety was associated with IIDs (OR, 1.19 [95% CI, 1.03-1.37]; P = .017) and SSTI (OR, 1.21 [95% CI, 1.02-1.43]; P = .029). There was no significant causal evidence for genetic prediction of nervous feelings and unspecified mental disorders in IIDs, CNS infections, SSTI, pneumonia, or urinary tract infection. Sensitivity analyses showed that the above causal association estimates were robust. In this MR study, we demonstrated a causal relationship between sleep disorders, depression, anxiety, and the risk of infectious diseases. However, no evidence was found to support causality between nervous feelings, unspecified mental disorders, and the risk of infectious diseases.

The impact of Individual Placement and Support on employment, health and social outcomes: quasi-experimental evidence from Aotearoa New Zealand.

AIM: To examine the impact of integrated employment support and mental health treatment (Individual Placement and Support, or "IPS") on Aotearoa New Zealand participants' employment, income, health, education and justice outcomes. METHOD: De-identified linked data from the Stats NZ Integrated Data Infrastructure and propensity score matching were used to estimate effects. RESULTS: In total, 1,659 IPS participants were matched to 1,503 non-participants. Compared with matched non-participants, matched participants were 1.6 times more likely to be in employment at 12 months. Over 3 years, matched IPS participants had more earnings, more time in employment, greater total income and were more likely to gain qualifications. They also had more face-to-face contacts with mental health teams, mental health-related inpatient stays and mental health service crisis contacts than matched non-participants. Effects for Maori were similar in direction and scale to the overall results. CONCLUSION: Our results show that people with mental health conditions or problematic substance use who receive employment support made available together with mental health and addiction treatment have more employment, gains in qualifications and more independent income when compared to similar people who do not receive this support. More research is needed to understand differences in engagement with mental health services and effects on participants' health and wellbeing.

Mental health in individual versus team sports.

Across all sports, there has been increasing realization that mental health symptoms and disorders in athletes are common. More specifically, there has been increasing study of differences in mental health between individual and team sport athletes. However, this topic is still under-developed, and no comprehensive review on the topic has been undertaken. This manuscript aims to provide a narrative review of mental health symptoms and disorders, spanning depression, anxiety, eating disorders, and substance use and other addictive disorders, in individual versus team sports. Findings revealed that individual sports may be associated with relatively more negative mental health than team sports. This includes depression, anxiety, eating disorders, and concepts related to exercise addiction. Substance misuse and use disorders may be an exception to this pattern, with team sport athletes exhibiting higher rates of problematic alcohol use, use of certain forms of nicotine, and possibly use of illicit substances such as marijuana. Reasons for the greater overall mental health risk in individual versus team sports may include relatively more negative self-attribution after failure and less social cohesion/support. Steps can be taken to improve the sporting environment for all athletes-across individual and team sports-in order to optimize mental health outcomes.

Mental disorders in adults from Ribeirão Preto, Brazil: a cross-sectional analysis of two birth cohorts.

BACKGROUND: In Brazil, the prevalence of mental disorders is heterogeneous, with most studies conducted in large cities with high population density. This study aimed to assess the prevalence of mental disorders and psychiatric comorbidities among young adults (22-23 years old) and adults (37-38 years old) from Ribeirão Preto, a city located in the Northeast of the São Paulo state, with approximately 700,000 inhabitants, and to explore associations with sociodemographic variables, suicide risk, and health service usage. Second, we aimed to evaluate the performance of the Self-Report Questionnaire (SRQ-20) as a screening tool for mental disorders to be applied to the local population. METHODS: Participants from the 1978/1979 and 1994 Ribeirão Preto birth cohorts were evaluated using the Mini International Neuropsychiatric Interview (MINI) and the SRQ-20 at mean ages of 22-23, and 37-38 years, respectively. RESULTS: Our sample comprised 1,769 individuals from the 1978/1979 cohort and 1,037 from the 1994 cohort. The prevalence of mental disorders ranged from 28.6% (1978/79) to 31% (1994), with frequent comorbid diagnoses (42.7% and 43.3%, respectively). Men and women had a similar prevalence of mental disorders in the younger cohort, while women had a higher prevalence in the older cohort. Low educational attainment was associated with higher rates of diagnosis. In both cohorts, alcohol and other psychoactive substance use was higher among those with a psychiatric diagnosis. Although those with a psychiatric diagnosis were less satisfied with their own health, only one-fifth had seen a mental health professional in the previous year. A psychiatric diagnosis increased the suicide risk by 5.6 to 9.1 times. Regarding the SRQ-20, the best cutoff points were 5/6 for men and 7/8 for women, with satisfactory performance. CONCLUSIONS: The prevalence and comorbidity of mental disorders were high in both cohorts and comparable to those in larger Brazilian cities. However, few individuals with a diagnosis had sought specialized care. These data suggest that the mental health gap is still significant in Brazil.

Earth observation data uncover green spaces' role in mental health.

The prevalence of mental health disorders, a key disability cause, is linked to demographic and socioeconomic factors. However, limited data exists on mental health and the urban environment. Urbanization exposes populations to environmental stressors, particularly affecting low-middle-income countries with complex urban arrangements. We used remote sensing and census data to investigate potential connections between environmental factors and mental health disorders. Land cover variables were assessed using the European Space Agency (ESA) global WorldCover product at 10 m resolution together with the database of mental health diagnosed cases (n = 5769) from the Brazilian Unified Health System's Department of Informatics (DATASUS) from every health facility of the city of Porto Alegre. The association of mental health data with land cover was established with machine learning algorithms and polynomial regression models. The results suggest that higher trees cover at neighborhood level was associated with better mental health index. A lower mental health index was also found to be associated with an higher Human Development Index. Our results highlight the potential of greenness in the city environment to achieve substantially better mental health outcomes.

Mental health conditions of Colombian adolescent population: An approach to risk.

OBJECTIVE: To determine the mental health conditions of adolescents in the city of Manizales, Colombia, and explore risk regarding gender-based differences. MATERIALS AND METHODS: Quantitative, nonexperimental, descriptive research with associative scope. A total of 316 adolescents were assessed using five scales to evaluate mental health conditions: the Perceived Stress Scale, Patient Health Questionnaire-9, Generalized Anxiety Disorder Scale, Penn Alcohol Craving Scale and The Substance Dependence Severity Scale. Univariate and bivariate analysis was performed, Chi square and Odds Ratio were tested. RESULTS: The findings indicated that being female is a risk factor for high levels of perceived stress, depressive episodes and anxiety. Additionally, adolescents who are not attending school are at higher risk for dependence and abuse of psychoactive substances. Conversely, being female acts as a protective factor against dependence on psychoactive substances. CONCLUSIONS: The findings suggest a higher tendency among the participants towards experiencing depressive episodes. Regarding perceived stress, 71.5% of the participants fell into the low category, while 70.6% experienced a current episode of generalized anxiety.

Causal relationships of mental diseases and thyroid diseases based on a Mendelian randomization study.

Evidence from observational researches have suggested that mental diseases are able to affect thyroid diseases. However, the causal relationship between mental diseases and the risk of thyroid diseases still remains unclear. Herein, we conducted a two-sample Mendelian randomization (MR) statistical analysis method to assess the causality between mental diseases and thyroid diseases. Initially, publicly available genome-wide association studies summary data were leveraged to obtain single-nucleotide polymorphisms based on set parameters. Subsequently, a two-sample MR was utilized to analyze causal relationships between mental diseases (Alzheimer disease, bipolar disorder, major depressive disorder, Parkinson disease, schizophrenia) and thyroid diseases (hyperthyroidism/thyrotoxicosis, hypothyroidism) with removing outliers based on MR-PRESSO method. Finally, 8 regression MR methods (inverse variance weighted [IVW], IVW fixed effects, c, MR Egger, weighted median, penalized weighted median, simple mode, weighted mode) were performed to evaluate bias and effectiveness, of which IVW was considered as the primary method. Our results demonstrated that most of mental diseases have no causal relationships with thyroid diseases except bipolar disorder and hyperthyroidism/thyrotoxicosis based on IVW method [odds ratio: 0.999, 95% confidence interval: 0.998-1.000, P = .028], and bipolar disorder and hypothyroidism based on IVW method [odds ratio: 0.997, 95% confidence interval: 0.995-0.999, P = .002]. Then we subsequently conducted a consistent robustness analysis to assess heterogeneity and horizontal pleiotropy. Our method reports causal relationships exist mental diseases and the risk of thyroid diseases. Subsequent researches are still warranted to determine how mental diseases influence the development of thyroid diseases.

Mental health of primary health care physicians and nurses following prolonged infection control rules: a national survey in China.

Introduction: This study examined the prevalence and correlates of probable mental health disorders, including psychological distress, somatization, depression, anxiety, phobic anxiety (PHO), obsessive-compulsive disorder (OCD), post-traumatic stress disorder (PTSD), and insomnia among Chinese primary health care (PHC) physicians and nurses amid the post-pandemic period in 2022. Method: Region-stratified sampling was conducted to recruit a national sample of 4,246 respondents from 31 July 2022 to 12 August 2022. A total of 692 primary healthcare institutions were identified in 30 provincial-level administrative regions of China. An online questionnaire was used for assessing probable mental health disorders using Symptoms Checklist-90-Revised (SCL-90-R) and PTSD Checklist for DSM-5 (PCL-5), and sleeping problems using Insomnia Severity Index (ISI). Data on demographics and work were also collected. Bivariate analysis and multiple logistic regression were conducted to identify significant correlates of probable mental health disorders. Results: A total of 4,246 valid questionnaires were identified. Results showed that relative to the prevalence of probable mental health disorders among health care workers at the early stage of the pandemic in China, there was an overall decreased prevalence except for somatization, PHO, and OCD among the current PHC physicians and nurses. Multiple logistic regressions showed that significant risk factors of common probable mental health disorders, namely psychological distress, SOM, DEP, ANX, PHO, OCD, PTSD, and insomnia, were female gender, multimorbidity, history of psychiatric disorders, quarantine experience, never asking anyone for help, and overtime work. Conclusion: Attention should be given to preexisting psychiatric and multimorbid conditions, social support, and work-related stressors. Regular assessment and psychological interventions are needed to enhance the mental health of PHC professionals even after public health crisis.

Assessing Stigma Toward Mental, Neurological, and Substance Use Disorders in Liberia: A Population Representative Study.

Mental health stigma remains a major global problem associated with low self-esteem, social withdrawal, and poor health-seeking behavior in individuals. However, limited published evidence details these challenges in Liberia. Knowledge of public perceptions toward mental illness and key trends in the associations between knowledge of mental, neurological, and substance use disorders (MNSs) and stigma is crucial to designing evidence-based mental health policies and supporting service delivery. This population-representative survey explored and quantified stigma related to MNSs in four health regions in Liberia, using a multistage stratified random sampling of 1,148 residents. Four internationally validated scales were used to assess knowledge, attitudes, and perceptions toward schizophrenia, bipolar disorder, epilepsy, and substance use disorder including the 1) Mental Health Attribution Questionnaire; 2) Five Question Stigma Indicator Questionnaire to assess Community Stigma; 3) Reported Intended Behavioral Scale; and 4) Personal Acceptance Level of Conditions. Data from interviews with 1,140 participants (96% response rate) were analyzed using central tendencies, hypothesis testing with simple logistic regression, and bivariate analysis for association between dependent and independent variables. Low mental health knowledge was found to be a strong predictor of discriminatory behaviors and stigma. Results revealed that exposure to movies or television significantly predicted increased discriminatory tendencies and that a lesser degree of acceptance was shown toward substance use disorder than any of the other conditions. These findings underscore the need for increased awareness and education about mental health to eliminate stigma and promote better care and inclusion for people living with MNSs.

Association of Suicidal Ideation With Physical Health Conditions, Mental Health Conditions, and Multimorbidity and the Modifying Role of Emotional Social Support: A Cross-Sectional Study in Japan.

INTRODUCTION: It is unclear whether the risk of suicide differs among individuals with only physical health condition, those with only mental health conditions, and those with both types of conditions (multimorbidity) and how emotional social support modifies these associations. This study aimed to examine differences in the association of suicidal ideation with the presence of only physical health conditions, only mental health conditions, and multimorbidity and the modifying role of emotional social support in these associations. METHODS: A cross-sectional survey was conducted between August and September 2023 in a Japanese rural town to collect data. The exposure variable was the health condition, and it was classified into 4 groups: disease-free, only physical health conditions, only mental health conditions, and multimorbidity. The outcome variable was suicidal ideation. The data collected were analyzed using multivariate logistic regression analysis and stratified analysis. RESULTS: Suicidal ideation was found to have a significant positive association with the presence of only mental health conditions and multimorbidity. These associations remained unchanged in the absence of emotional social support. However, the odds ratio for the only mental health conditions group decreased in the presence of emotional social support, while the odds ratio for the multimorbidity group remained significantly higher. CONCLUSIONS: Suicidal ideation is positively associated with the presence of only mental health conditions and multimorbidity, but emotional social support modifies only the association between suicidal ideation and the presence of only mental health conditions. These results suggest that it may be important to identify the type of social support one needs based on one's health condition to prevent suicide.

Psychiatric disorders and comorbidity in women with Turner Syndrome: a retrospective national cohort study.

Turner syndrome (TS) is a genetic condition characterized by partial or complete monosomy X. A reduced life expectancy has been shown in TS, depending on an increased risk of aortic dissection, and ischemic heart disease. Studies covering the occurrence of psychiatric conditions are sparse within TS. Several case reports describe concomitant TS and neuropsychiatric abnormalities that may represent a pathogenetic link to genetics, as well as feature correlates of TS. The aim of this study was to determine the presence, and the frequency of psychiatric diagnosis in women with TS in a Swedish cohort followed during 25 years' time. Statistics from the entire female population in Sweden of corresponding age was used as reference. Data were retrieved from clinical examinations and validated from the National Board of Health and Welfare registries for women with TS (n = 487), aged 16 to 84 years, with respect to mental health disorders. The most common diagnoses in TS were mood and anxiety disorders. There was no increase in psychiatric diagnosis within the group with time, nor correlation to specific karyotype or somatic comorbidity as congenital heart disease and hypothyroidism, hormonal treatment, or childbirth. In addition, the frequency of psychiatric diagnosis in TS was lower than in the population-based data. Further investigations are needed in the view of the fact that women with Turner syndrome should not be burdened with more severe diagnoses.

Causal relationships between neuropsychiatric disorders and nonalcoholic fatty liver disease: A bidirectional Mendelian randomization study.

BACKGROUND: Increasing evidences suggest that nonalcoholic fatty liver disease (NAFLD) is associated with neuropsychiatric disorders. Nevertheless, whether there were causal associations between them remained vague. A causal association between neuropsychiatric disorders and NAFLD was investigated in this study. METHODS: We assessed the published genome-wide association study summary statistics for NAFLD, seven mental disorder-related diseases and six central nervous system dysfunction-related diseases. The causal relationships were first assessed using two-sample and multivariable Mendelian randomization (MR). Then, sensitivity analyses were performed, followed by a reverse MR analysis to determine whether reverse causality is possible. Finally, we performed replication analyses and combined the findings from the above studies. RESULTS: Our meta-analysis results showed NAFLD significantly increased the risk of anxiety disorders (OR = 1.016, 95% CI = 1.010-1.021, P value < 0.0001). In addition, major depressive disorder was the potential risk factor for NAFLD (OR = 1.233, 95% CI = 1.063-1.430, P value = 0.006). Multivariable MR analysis showed that the causal effect of major depressive disorder on NAFLD remained significant after considering body mass index, but the association disappeared after adjusting for the effect of waist circumference. Furthermore, other neuropsychiatric disorders and NAFLD were not found to be causally related. CONCLUSIONS: These results implied causal relationships of NAFLD with anxiety disorders and Major Depressive Disorder. This study highlighted the need to recognize and understand the connection between neuropsychiatric disorders and NAFLD to prevent the development of related diseases.

Prevalence of mental disorders among young people living with HIV: a systematic review and meta-analysis.

Objective: This meta-analysis aims to evaluate the global prevalence of mental disorders among young people living with HIV. Methods: A comprehensive search was conducted of the PubMed, Embase, and Cochrane Library databases for articles relevant to the study, published between January 2013 and June 2023. To identify sources of heterogeneity and compare prevalence estimates among various groups, subgroup analyses were conducted. Study heterogeneity was assessed using Cochran's Q and the I 2 tests. The robustness of the findings was ascertained through sensitivity analyses, while publication bias was evaluated with funnel plots and Egger's test. Results: Sixty studies were included in this meta-analysis. It revealed that approximately one-quarter of YLWH experience depression, with a prevalence of 24.6% (95% CI: 21.1-28.2%). The prevalence of anxiety was found to be 17.0% (95% CI: 11.4-22.6%). Regarding suicidality, the prevalence of suicidal ideation and lifetime suicidal ideation in YLWH was 16.8% (95% CI: 11.3-22.4%) and 29.7% (95% CI: 23.7-35.7%), respectively. Additionally, the prevalence rates for suicidal attempts and lifetime suicidal attempts were 9.7% (95% CI: 4.0-15.4%) and 12.9% (95% CI: 2.8-23.1%), respectively. The prevalence of Post-Traumatic Stress Disorder and Attention Deficit Hyperactivity Disorder was identified as 10.5% (95% CI: 5.8-15.2%) and 5.0% (95% CI: 3.1-7.0%), respectively. Conclusion: The findings indicate a heightened risk of mental disorders among YLWH, underscoring the necessity for targeted intervention strategies to mitigate their suffering and potentially diminish the adverse impacts. Systematic Review Registration: PROSPERO, identifier CRD42023470050, https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023470050.

Patients with cancer and pre-existing severe mental disorder.

Patients with cancer and pre-existing severe mental disorder, which include moderate to severe depression, bipolar disorder and schizophrenia, are known to have reduced life expectancy and are less likely to get recommended cancer treatment. Barriers at patient-, provider- and system level have been identified, e.g. lack of identification of psychiatric comorbidity, shortage of stabilising psychiatric symptoms and fragmentation of the healthcare system. Patient-centered, interdisciplinary and cross-sectorial healthcare interventions have shown a high potential to improve the cancer care, as argued in this review.

[Cannabis use and cannabis use disorders]. / Cannabiskonsum und Cannabiskonsumstörungen.

Cannabis use and cannabis use disorders have taken on a new social significance as a result of partial legalization. In 2021 a total of 4.5 million adults (8.8%) in Germany used the drug. The number of users as well as problematic use have risen in the last decade. Cannabis products with a high delta-9-tetrahydrocannabinol (THC) content and their regular use lead to changes in cannabinoid receptor distribution in the brain and to modifications in the structure and functionality of relevant neuronal networks. The consequences of cannabinoid use are particularly in the psychological functioning and can include intoxication, harmful use, dependence with withdrawal symptoms and cannabis-induced mental disorders. Changes in the diagnostics between ICD-10 and ICD-11 are presented. Interdisciplinary S3 guidelines on cannabis-related disorders are currently being developed and will be finalized shortly.

Spatial and Socioeconomic Patterns of Mental Health and Healthcare Utilization in Cologne, Germany. / Räumliche und sozioökonomische Muster der psychischen Gesundheit und der Leistungsinanspruchnahme in Köln, Deutschland.

BACKGROUND: Children and adolescents are significantly tied to their family's socioeconomic position and living environment. Neighbourhood and the living environment have been identified as potential risk factors for mental disorders in this age group. AIM OF THE STUDY: The aim of the study was to investigate the distribution of mental and behavioural disorders (prevalence) and the provision of mental health services for children and adolescents aged 0-19 years in the city of Cologne. In particular, the study aimed to examine the association of these factors with area deprivation and the availability of mental health services covered by statutory health insurance. Finally, possible spatial variations in these aspects were analysed. METHOD: Claims data of children and adolescents aged 0 to 19 years included in four statutory health insurance of the year 2021 were analysed. A deprivation index using data on the level of the ZIP code area was calculated. Analyses were carried out descriptively, using ordinary least squares (OLS) and geographically weighted regression (GWR). RESULTS: The prevalence of mental and behavioural disorders in children and adolescents varied across ZIP code areas, with higher rates in the northern, southern, and eastern parts of the city. The results indicated that the use of services by male children and adolescents with a prevalent diagnosis of mental and behavioural disorders was higher in areas with a higher density of healthcare providers. However, prevalence was on the whole lower in areas with a higher density of healthcare providers. In addition, the density of health care providers was higher in the city centre with comparatively lower deprivation. CONCLUSION: These results indicate inadequate access to care for children and young people outside the city centre. However, due to the heterogeneity of the population in these areas, this study provides only preliminary insights. Data with a finer geographic resolution are needed for further research in order to analyse the association further.

Analyzing the relationship between individual and cumulative score of adverse childhood experiences (ACEs) with self-reported mental health disorders in Chile.

BACKGROUND: Adverse Childhood Experiences (ACEs) are widely recognized as significant predictors of poor mental health in adulthood. Latin America presents several unique challenges regarding ACEs, such as higher prevalence of violence and income and political inequality. However, little is known about this issue from nationally representative samples in the region, particularly in Chile. OBJECTIVE: This investigation examines the association between individual and cumulative ACE scores and seven self-reported mental health conditions (substance abuse, depression, PTSD, generalized anxiety, suicide ideation, non-suicidal self-harm, and learning disorders) in a representative Chilean urban sample. METHODS: A representative urban sample of 2101 adult Chileans completed the International Adverse Childhood Experiences Questionnaire (ACE-IQ) and disclosed any prior mental health diagnoses. RESULTS: Around 40 % of the sample had experienced four or more ACEs in their lifetime. For these individuals, the risk of reporting a mental health disorder was significantly higher. Several logistic regression analyses were conducted to address the associations between ACEs and the seven mental health conditions. Notably, sexual abuse, bullying, and exposure to collective violence were the ACEs most strongly associated with self-reported mental health issues. Additionally, a cumulative ACE score was found to be a significant predictor of having a previous mental health diagnosis. CONCLUSIONS: We found a significant predictive association between exposure to collective violence and six out of the seven self-reported mental health disorders. Similarly, sexual abuse demonstrated an association with all mental health conditions. Finally, individuals who experienced four or more ACEs had a notably higher chance of reporting a previous mental health diagnosis. We recommend conducting further ACE research in Latin America due to its cultural and contextual singularities.

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

BACKGROUND: Existing 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. METHODS: Based 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. RESULTS: The 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). CONCLUSION: This 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.