Mental Health and Environmental Exposures: An Editorial

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.

Climate anxiety, environmental attitude, and job engagement among nursing university colleagues: a multicenter descriptive study

BACKGROUND

Climate change, a pervasive global phenomenon, exerts discernible impacts on the physical, social, and psychological dimensions of well-being. The apprehension surrounding this complex environmental issue has reached a critical juncture, with over 76,000 individuals across more than thirty nations expressing profound levels of concern, characterizing their anxiety as either "very" or "extremely" pronounced. This surge in awareness regarding the potential consequences of climate change has given rise to an emergent and escalating challenge known as climate anxiety. This distinctive form of anxiety manifests through profound feelings of fear, helplessness, and despair elicited by the impending repercussions of climate change. Notably, the intersection of climate anxiety with occupational domains, particularly within the context of Nursing University Colleagues, suggests a nuanced relationship with job engagement, wherein the psychological responses to climate change may influence professional commitment and involvement.

AIM OF THE STUDY

To examine the correlation among Climate Anxiety, Environmental Attitude, and Job Engagement among Nursing University Colleagues comprising eight distinct nursing faculties.

DESIGN

A multicenter descriptive, cross-sectional research design study followed.

SUBJECT

Three hundred fifty-nine participants from the Centre, Delta, West, Suez Canal, and Upper regions of Egypt using a stratified random cluster sampling technique.

MEASUREMENTS

Social and health related to climate data structured questionnaire, climate anxiety scale, environmental attitude inventory, and job engagement scale.

RESULTS

The influence of demographics on climate anxiety, environmental attitude, and job involvement was not observed. Nevertheless, geographical variations emerged as a noteworthy factor. A statistically significant inverse correlation was identified between climate anxiety, job engagement dimensions, and the overall score of environmental attitudes.

CONCLUSION

Climate anxiety was strongly associated with environmental attitudes and job engagement among nursing university colleagues. Higher climate anxiety is associated with a lower attitude towards the environment and decreased job engagement. Additionally, a higher attitude towards the environment is associated with decreased overall engagement in participants' jobs.

IMPLICATIONS

The study's patterns make it clear how important it is to provide targeted psycho-educational interventions to help reduce climate anxiety among the group of nursing university colleagues. The imperative lies not only in alleviating the immediate psychological distress associated with heightened climate anxiety but also in fostering adaptive coping mechanisms. By doing so, these interventions serve as instrumental tools in nurturing resilience, thereby fortifying the mental well-being of nursing professionals amidst the evolving landscape of climate-related concerns.

The environment a young person grows up in is associated with their mental health: A nationwide geospatial study using the integrated data infrastructure, New Zealand

BACKGROUND

Mental health conditions often arise during adolescence, are multifaceted in aetiology, and may be related to the type of environment in which young people reside. This study used nationwide population-level data to investigate whether the environment a young person grows up in is associated with their mental health.

METHOD

Data were extracted from the Integrated Data Infrastructure (IDI), a large nationwide research repository, for 917,211 young people (aged 10-24 years) including sociodemographic and mental health data (i.e. emotional, behavioural, substance problems, and self-harm). Environmental data were sourced from the nationwide area-based Healthy Location Index (HLI), which has comprehensive data on the location of several health-constraining (i.e. fast-food outlets) and health-promoting features (i.e. physical activity facilities). Environments were classified as: i) health-promoting, ii) health-constraining, or iii) neither. Associations between the HLI and mental health were investigated using multi-level mixed effects logistic regression modelling.

RESULTS

Overall, there was evidence of an association between the environment a young person resided in and their mental health. Young people residing in health-constraining environments had higher odds of any mental health condition (Adjusted Odds Ratio (AOR) = 1.020 [1.001, 1.040]) and any emotional condition (AOR = 1.037 [1.012, 1.062]). Young people residing in health-promoting environments had lower odds of substance problems (AOR = 0.950 [0.905, 0.997]). There were no significant effects of the environment on behavioural conditions.

CONCLUSION

Our study utilises a large national sample of almost one million young people to confirm the importance of environmental determinants for mental health. It is possible that leverage points for improving the mental health of young people, and reducing the burden to the health system of mental health, can be sought in upstream environmental based interventions.

Key Predictive Factors in the Mental Health of Chinese University Students at Home and Abroad

The prevalence of reported mental health problems among university students has increased at alarming rates in recent years. While various negative life events (from personal events such as relationship breakdowns to more global events such as COVID-19 [SARS-CoV-2] pandemic) have been found to be important predictors of poor mental health in this population, some individuals have been found robustly to fare better than others in confronting such events. Identifying factors that predict these individuals' mental health, along with the specific coping strategies they utilize may have significant practical implications when confronted by adverse events such as COVID-19. This study investigated relationships between the impact of the COVID-19 pandemic on 828 (453 females, 374 males, and one "Other") Chinese university students' mental health, and their internal strengths, personality characteristics, and demographic profiles. We also investigated whether students' use of specific coping strategies mediated these relationships. Stepwise multiple regression analyses (MRAs) and a path analysis revealed that students who resided in their home country, had higher levels of internal strengths, a lower level of neuroticism and a higher level of agreeableness and reported fewer negative mental health changes than did other respondents during COVID-19 in the second half of 2020. Self-regulation and withdrawal coping strategies were both important mediators of these relationships. These findings have important implications for universities in identifying and assisting students in the face of adverse events such as COVID-19.

Enriched Environment Attenuates Enhanced Trait Anxiety in Association with Normalization of Aberrant Neuro-Inflammatory Events

Neuroinflammation is discussed to play a role in specific subgroups of different psychiatric disorders, including anxiety disorders. We have previously shown that a mouse model of trait anxiety (HAB) displays enhanced microglial density and phagocytic activity in key regions of anxiety circuits compared to normal-anxiety controls (NAB). Using minocycline, we provided causal evidence that reducing microglial activation within the dentate gyrus (DG) attenuated enhanced anxiety in HABs. Besides pharmacological intervention, "positive environmental stimuli", which have the advantage of exerting no side-effects, have been shown to modulate inflammation-related markers in human beings. Therefore, we now investigated whether environmental enrichment (EE) would be sufficient to modulate upregulated neuroinflammation in high-anxiety HABs. We show for the first time that EE can indeed attenuate enhanced trait anxiety, even when presented as late as adulthood. We further found that EE-induced anxiolysis was associated with the attenuation of enhanced microglial density (using Iba-1 as the marker) in the DG and medial prefrontal cortex. Additionally, EE reduced Iba1 + CD68+ microglia density within the anterior DG. Hence, the successful attenuation of trait anxiety by EE was associated in part with the normalization of neuro-inflammatory imbalances. These results suggest that pharmacological and/or positive behavioral therapies triggering microglia-targeted anti-inflammatory effects could be promising as novel alternatives or complimentary anxiolytic therapeutic approaches in specific subgroups of individuals predisposed to trait anxiety.

Attitudes of mental healthcare professionals and media professionals towards each other in reducing social stigma due to mental illness in Bangladesh

Mental illness is a neglected issue all over the world. The development of negligence towards mental illness could be due to the stigmatized attitudes. Also, social stigma due to mental illness is prevalent in many south Asian countries. In Bangladesh, the condition is even worse than regional data in Asia. The general people consider media as a primary source of information about mental health. However, mental health professionals (MHP) have direct contact with psychiatric patients and their family members. Therefore, both MHP and media professionals (MP) have a role in reducing social stigma due to mental illness. The present study aimed to identify attitudes of MHP and MP towards each other in reducing social stigma due to mental illness. We conducted a cross-sectional online survey among 174 participants (80 MHP and 94 MP). We used two sets of self-reporting questionnaires to assess the attitudes of MHP and MP towards one another. Also, we collected and analyzed sociodemographic profiles of study participants. We observed significant differences in terms of their profession-related statements between MHP and MP. Also, we have seen significant gaps between MHP and MP in terms of their complete agreement on attitude-related aspects. However, most respondents agreed that stigma due to mental illness is a vital problem in Bangladesh. Moreover, maximum participants accepted that the current public images about psychiatry and media role in reducing social stigma need to be improved. We observed gap between MHP and MP in their roles and beliefs in reducing social stigma due to mental illness in Bangladesh. Reciprocal training and awareness programs would help them in reducing social stigma due to mental illness. The findings of the present study would help to sort out the possible areas for interventions. However, the present study has few limitations; therefore, we recommend further studies with more homogeneous and large samples to make better conclusion.

Identifying insomnia-related chemicals through integrative analysis of genome-wide association studies and chemical-genes interaction information

STUDY OBJECTIVES

Insomnia is a common sleep disorder and constitutes a major issue in modern society. We provide new clues for revealing the association between environmental chemicals and insomnia.

METHODS

Three genome-wide association studies (GWAS) summary datasets of insomnia (n = 113,006, n = 1,331,010, and n = 453,379, respectively) were driven from the UK Biobank, 23andMe, and deCODE. The chemical-gene interaction dataset was downloaded from the Comparative Toxicogenomics Database. First, we conducted a meta-analysis of the three datasets of insomnia using the METAL software. Using the result of meta-analysis, transcriptome-wide association studies were performed to calculate the expression association testing statistics of insomnia. Then chemical-related gene set enrichment analysis (GSEA) was used to explore the association between chemicals and insomnia.

RESULTS

For GWAS meta-analysis dataset of insomnia, we identified 42 chemicals associated with insomnia in brain tissue (p < 0.05) by GSEA. We detected five important chemicals such as pinosylvin (p = 0.0128), bromobenzene (p = 0.0134), clonidine (p = 0.0372), gabapentin (p = 0.0372), and melatonin (p = 0.0404) which are directly associated with insomnia.

CONCLUSION

Our study results provide new clues for revealing the roles of environmental chemicals in the development of insomnia.

Unhealthy environments are associated with adverse mental health and psychological distress: Cross-sectional evidence from nationally representative data in New Zealand

This study combines data on the location of health-constraining 'bads' (i: fast-food outlets, ii: takeaway outlets, iii: dairy outlets and convenience stores, iv: alcohol outlets, and v: gaming venues) and health-promoting 'goods' (i: green spaces, ii: blue spaces, iii: physical activity facilities, and iv: fruit and vegetable outlets) into a nationwide Healthy Living Index. This was applied to pooled (2015/16-2017/18) nationally representative New Zealand Health Survey data, with mental health conditions (depression, bipolar, and anxiety) and psychological distress as population-level outcomes. Mental health was associated with proximity to environmental 'goods' and 'bads'. Compared to those individuals who reside within the unhealthiest environments, there was a steady reduction in the odds of adverse mental health outcomes and psychological distress as the environment became more health-promoting.

Discovery of the Environmental Factors Affecting Urban Dwellers' Mental Health: A Data-Driven Approach

Mental health is the foundation of health and happiness as well as the basis for an individual's meaningful life. The environmental and social health of a city can measure the mental state of people living in a certain areas, and exploring urban dwellers' mental states is an important factor in understanding and better managing cities. New dynamic and granular urban data provide us with a way to determine the environmental factors that affect the mental states of urban dwellers. The characteristics of the maximal information coefficient can identify the linear and nonlinear relationships so that we can fully identify the physical and social environmental factors that affect urban dwellers' mental states and further test these relationships through linear and nonlinear modeling. Taking the Greater London as an example, we used data from the London Datastore to discover the environmental factors that had the highest correlation with urban mental health from 2015 to 2017 and to prove that they had a high nonlinear correlation through neural network modeling. This paper aimed to use a data-driven approach to find environmental factors that had not yet received enough attention and to provide a starting point for research by establishing hypotheses for further exploration of the impact of environmental factors on mental health.

Law and mental health: A bridge between individual neurobiology and the collective organization of behaviors

Mental disorders (MD) or mental symptoms (MS) have multifactorial causes. Today we know much more about the variables that cause individual MD\MS, but in our opinion these characterizations, although essential, are not sufficient to account for the complexity in which we live. For example, they do not explain in a coherent and empirically verifiable way how the biological individual relates to the social architecture in which he lives. This article presents a hypothesis that connects social and organizational structures to the emergence of symptoms and mental disorders in the population. It is our belief that some of these structures fundamentally impact the distribution of MD/MS in a population and the medical and psychological communities must consider this impact seriously. Laws aim at directing the behavior of groups of people, whose behavior is strictly interdependent with their neurobiology. Given the ability of laws to direct the behaviors that regulate social interactions, traumatic factors may be considered capable of linking a non-material object (e.g., a law) to a real effect (e.g., MS/MD). We discuss, as a paradigmatic example, the laws that regulate the use of psychotropic substances.