Are There Heterogeneous Impacts of Air Pollution on Mental Health?

Mental health impacts of particulate matter exposure and non-optimal temperature among rural and urban children in eastern China

Over 100 million children worldwide suffer from mental distress, with incidence rates steadily increasing. However, the combined impacts of air pollution and non-optimal temperature on schoolchildren's mental health, as well as the disparities across urban and rural schools and between genders, remain insufficiently explored. Utilizing 95,658 mental distress records from school children in eastern China, we developed nine composite exposure scenarios to evaluate the mental health impacts of short-term (0-14 days) exposure to particulate matter (PM) air pollution (i.e., PM1, PM2.5, PM10), average temperature, and temperature variability (including both intra-day and inter-day temperature fluctuations). We found that children's mental distress was significantly associated with PM pollution, particularly in urban schools, with rising risk trends and intensified hazards for finer particles (PM10 < PM2.5 < PM1). For each 10 μg/m³ increase, the relative risks of mental distress absenteeism for PM1, PM2.5, and PM10 were 1.017, 1.011, and 1.008, respectively. Polluted days coupled with warming temperature >10 °C and large intra-day (>10 °C) and inter-day fluctuations (<-2.5 or >0 °C) consistently exhibited higher and increasing risks, with relative risks ranging from 1.031 to 1.534 (p < 0.05). Girls, constituting 61.4% of the cases examined, exhibited greater vulnerability than boys, with higher threats and rising trends across all scenarios. Among the affected children, 77.9% didn't receive medical assistance. Given the global warming trend, it's crucial to address the combined impacts of extreme weather and PM pollution on schoolchildren's mental health, particularly for girls and in rapidly urbanizing areas.

Analysis of mental health of healthcare workers and its influencing factors in three consecutive years

Background: Healthcare workers are an indispensable part of society, and a healthy mind and body are important to them, but today's exacerbation of psychological problems in healthcare, has attracted the attention of society. Objective: This study spans two particular phases: the COVID-19 pandemic phase and the full liberalization of epidemic control. To explore trends in the mental health status of healthcare workers, particularly anxiety, depression and sleep quality, and to analyze the influencing factors and inform the development of interventions through data collection over three consecutive years. Methods: A general information questionnaire, SAS, SDS, and PSQI were used to survey in-service healthcare workers in a regional tertiary care hospital for three consecutive years, and data were collected to cover multiple time points to observe trends in mental health and to synthesize and analyze potential influencing factors such as demographic characteristics. Results: The SAS, SDS, and PSQI scores of the healthcare workers were significantly higher than the national norm. With psychological interventions, the incidence of depression and sleep problems decreased year by year, and the incidence of anxiety problems fluctuated little. Anxiety, depression and sleep problems are affected by a variety of factors, and healthcare workers whose gender is female, whose occupation is nurseing whose age is younger, whose job title is lower, and whose position is on the front line of epidemic prevention are more likely to have mental health problems. Conclusions: This study identifies the severity and complexity of mental health problems among healthcare workers, analyzes their mental health needs and factors affecting mental health, and provides a scientific basis for providing psychological interventions.

Do higher educated people feel happier?-Evidence of Han and minority nationalities from China

Based on the data of China General Social Survey (CGSS), this study adopts empirical analysis method to explore the impact of education on residents' subjective well-being and its differentiated mechanism in different ethnic groups. The results show that, first of all, education significantly improves residents' subjective well-being, and the conclusion is still robust after controlling for endogenous problems. Secondly, compared with Han nationality, education has a more significant effect on the subjective well-being of ethnic minority residents. Finally, by comparing the internal mechanism of education on the subjective well-being of Han and ethnic minority residents, the research finds that education mainly improves subjective well-being by improving residents' relative income level and enhancing their social class identification, in which the intermediary effect of income is particularly prominent. However, in the Han population, education may weaken the sense of fairness, and thus reduce happiness to some extent; This phenomenon has not been verified in ethnic minority groups. This study not only expands the literature on the relationship between education and subjective well-being, but also has important policy implications, providing a strong empirical basis for formulating more accurate education policies, improving the happiness of ethnic minority residents, and enhancing national cohesion.

Does environmental pollution reduce residents' income? Evidence from CFPS in China

Understanding the relationship between environmental pollution and residents' income is extremely important for promoting sustained progress and high-quality economic growth. This research examines the impact, mechanism, and heterogeneity of environmental contamination on residents' earnings by fusing the micro data from China Family Panel Survey with the macro data of government statistics. The results reveal that environmental degradation has a significantly negative impact on residents' individual income. Further research on the intermediary mechanism finds that environmental pollution plays a harmful role in residents' income by reducing residents' subjective well-being and labor employment. Besides, the income effect of environmental pollution is significantly heterogeneous among different regions and differentiated groups. The deteriorating environmental quality widens urban-rural income gap and increases wage inequality of inhabitants in eastern, central, and western regions of China. The gender income gap and the income disparity between different income brackets also expand with environmental deterioration. These findings not only prove that long-term development at the cost of the ecological environment is undesirable, but also demonstrate the important role of the improvement of ecological environmental quality in promoting human well-being.

The Climate Crisis and Breastfeeding: Opportunities for Resilience

The climate crisis is an emerging global challenge that poses potential risks to breastfeeding practices and outcomes. There are multifaceted effects of climate change affecting the breastfeeding dyad across environmental, societal, and human health dimensions. Breastfeeding support in the face of climate change will require solutions at the structural level-healthcare, community, and workplace settings-and at the mother-infant dyad level. Breastfeeding can additionally be an adaptive response to crisis situations and can mitigate some of the environmental challenges associated with climate change. Despite the undeniable significance of climate change on breastfeeding (and vice versa), our perspective as experts in the field is that this topic has not been systematically addressed. Although we highlight some of the challenges, potential solutions, and co-benefits of breastfeeding in the context of climate change, there are numerous issues that could be further explored and necessitate additional preparedness planning.

The Relationship between Ambient Fine Particulate Matter (PM2.5) Pollution and Depression: An Analysis of Data from 185 Countries

Several studies have identified a relationship between air pollution and depression, particularly in relation to fine particulate matter (PM2.5) exposure. However, the strength of this association appears to be moderated by variables such as age, gender, genetic vulnerability, physical activity, and climatic conditions, and has not been assessed at a cross-national level to date. Moreover, certain studies in this field have yielded negative results, and there are discrepancies between the results obtained in high-income countries and those from low- and middle-income countries. The current study examines cross-sectional and longitudinal associations between the incidence of depression in each country, based on Global Burden of Disease Study data, and the average national level of PM2.5 based on the World Health Organization’s database, over the past decade (2010–2019). The observed associations were adjusted for age, gender, level of physical activity, income, education, population density, climate, and type of depression. It was observed that while PM2.5 levels showed significant cross-sectional associations with the incidence of depression, longitudinal analyses were not suggestive of a direct causal relationship. These findings are discussed in the light of recent contradictory results in this field, and the need to consider the intermediate roles of a number of individual and environmental factors.

Heterogeneity Influence of Financial Digitalization and Inclusion on Employees’ Psychological States

Digital inclusive finance (DIF) has the power to spawn a new system of Internet finance and realize financial inclusion. However, the role of DIF in improving the health status of individuals is largely unknown. This study aims to demonstrate whether and how the development of DIF impacts the mental health of Chinese employees. This paper performs an empirical study based on the city-level data of the digital inclusive financial index with the China family panel studies. Ordinary least squares (OLS), probit models and mediation techniques are employed with appropriate instruments to alleviate endogeneity concerns. The results show that DIF can help employees improve their mental health. The results were robust to a variety of checks. Moreover, increasing income is the main pathway in which DIF improves individual mental health. Finally, it also reveals the heterogeneous effects of DIF on individual mental health. That is, the use depth of DIF has a significant positive effect on mental health status, but not on other sub-indicators, such as coverage breadth and degree of digital service provision; on those vulnerable groups containing females and employees with low education, its decisive role is larger than their counterparts who are males and have high levels of education. These results highlight the vital role of DIF in improving the mental health status of individuals. Consequently, there is a need to strengthen the construction of financial infrastructure and achieve a deeper integration of the financial system with digital technologies.

Research on the heterogeneous effects of residents' income on mental health

The influence of residents' income on mental health is complex, and there are heterogeneous effects of residents' income on different types of mental health. Based on the annual panel data of 55 countries from 2007 to 2019, this paper divides residents' income into three dimensions: absolute income, relative income and income gap. Mental health is divided into three aspects: subjective well-being, prevalence of depression and prevalence of anxiety. Panel Tobit model is used to study the heterogeneous impact of residents' income on mental health. The results show that, on the one hand, different dimensions of residents' income have a heterogeneous impact on mental health, specifically, absolute income has a positive impact on mental health, while relative income and income gap have no significant impact on mental health. On the other hand, the impact of different dimensions of residents' income on different types of mental health is heterogeneous. Specifically, absolute income and income gap have heterogeneous effects on different types of mental health, while relative income has no significant impact on different types of mental health.

Ambient ozone exposure and hospitalization for substance abuse: A time-stratified case-crossover study in Taipei

A number of studies investigating the possibility that air pollutant exposures increases the risk of adverse effects on mental health including frequency of suicide and depression, is a major growing public health concern. Human data demonstrated that exposure to various ambient air contaminants including ozone (O₃) adversely affected nervous system functions. It is also well-established that substance abuse produces central nervous system dysfunctions with resultant increase in suicide rates. However, the role of substance abuse in combination with O₃ exposure on mental health remained to be determined. The aim of this investigation was to conduct a time-stratified case-crossover study to examine the possible correlation between short-term ambient O₃ exposure and daily hospital admissions for substance abuse, including alcohol dependence syndrome and non-dependent abuse of drugs, in Taipei from 2009 to 2013. In our single pollutant model, a 35% rise in interquartile (IQR) O₃ levels on cool days and a 12% elevation on warm days was associated with increase in mental health hospitalizations. In our two-pollutant models, O₃ remained significantly associated with elevated number of hospitalizations after adding any one of possible air pollutants, PM₁₀, PM_2.5, SO₂, NO₂, and CO, to our model on cool and warm days. Data suggested that temperature may affect the association between outdoor ambient air O₃ exposure and enhanced risk of hospitalization for substance abuse. Further study is needed to better understand these findings.