Search Results (138)

School refusal behavior, defined as a child’s prolonged voluntary absence from school for reasons unrelated to illness and/or economic hardship, is a growing concern in Japan. The COVID-19 pandemic has worsened this issue by disrupting children’s lives. This review summarizes the prevalence, contributing factors, and health implications of school refusal, particularly in the context of COVID-19. A literature review of government reports and PubMed-indexed studies indicates that school refusal in Japan has been rising for eleven years, reaching a record 340,000 cases in 2023. Middle school students (6.7%) were the most affected, followed by elementary school students (2.1%). The pandemic intensified school-related, family-related, and child-related risk factors. School closures disrupted routines, reduced peer interactions, and increased social isolation, contributing to higher rates of anxiety and depression. Reports of suicides and mental health disorders among children have also surged. Family stressors, including economic hardship and parental mental health struggles, further exacerbate school refusal. Additionally, remote learning has widened socioeconomic disparities in access to education, leaving vulnerable children at greater risk. Addressing school refusal requires a multifaceted approach involving schools, families, healthcare providers, and policymakers. School-based interventions, mental health approach, and flexible educational programs would be essential. The Japanese government’s “COCOLO Plan” represents progress toward a more inclusive education system, and a comprehensive, interdisciplinary strategy is needed. Ensuring all children receive the necessary support to reengage with education is critical to overcoming the long-term challenges posed by school refusal. Full article

The increasing frequency and intensity of extreme weather events pose significant challenges to mountain communities, particularly in terms of flash flood risks. This study presents a framework for stress testing and evaluating flood resilience in mountain communities through the integration of high-resolution InfoWorks ICM two-dimensional hydrodynamic modeling and systematic resilience assessment. The framework makes three key innovations: (1) multi-scale temporal stress scenarios combining short-duration extreme events (1–2 h) with long-duration persistent events (24 h) and historical extremes; (2) integrated infrastructure–drainage stress analysis that explicitly models roads’ dual role as critical infrastructure and emergency drainage channels; and (3) dynamic resilience quantification under multiple stressors across 15 systematically designed stress conditions. Using Western Beijing as a case study, the model is validated, achieving Nash–Sutcliffe efficiency values exceeding 0.9, demonstrating its robust capability in simulating complex mountainous terrain flood processes. Through systematic analysis of fifteen rainfall scenarios designed based on Chicago rainfall patterns and historical events (including the July 2023 Haihe River basin flood), encompassing various intensities (30–200 mm/h), durations (1 h, 2 h, 24 h), and return periods (10, 50, 100 years), the key findings include the following: (1) A rainfall intensity of 60 mm/h represents a crucial threshold for system performance, beyond which significant impacts on community infrastructure emerge, with built-up areas experiencing inundation depths of 0.27–0.4 m that exceed safe passage limits. (2) Road networks become primary drainage channels during intense precipitation, with velocities exceeding 5 m/s in village roads and exceeding 5 m/s in country road sections, creating significant hazard potential. (3) Four major risk spots were identified with distinct waterlogging patterns, characterized by maximum depths ranging from 0.8 to 2.0 m and recovery periods varying from 2 to 12 hours depending on the topographic confluence effects and drainage efficiency. (4) The system demonstrates strong recovery capability, achieving >90% recovery within 3–6 hours for short-duration events, while showing vulnerability to extreme scenarios, with performance declining to 0.75–0.80, highlighting the coupling effects between water depth and flow velocity in steep terrain. This research provides quantitative insights for flood risk management and for enhancing community resilience in mountainous regions, offering valuable guidance for infrastructure improvement, emergency response optimization, and sustainable community development. This study primarily focuses on physical resilience aspects, with socioeconomic and institutional dimensions representing important directions for future research. Full article

The race paradox in mental health refers to the phenomenon in which African Americans often demonstrate mental health outcomes that are comparable to or more favorable than those of non-Hispanic Whites, despite systemic socioeconomic disadvantage and disproportionate exposure to chronic stressors. Few studies have examined the mechanisms underlying this race paradox among older adults, and even fewer have explored the role of social participation. This study aims to examine whether social participation mediates the relationship between race and mental health. Longitudinal data were drawn from the National Social Life, Health, and Aging study Waves 1–3 (N = 1292). Race was dichotomized as African American and non-Hispanic White. Three types of social participation were assessed: volunteering, participating in organized groups, and attending religious services. Depressive symptoms were assessed as the mental health outcome. Path analyses were conducted to examine the aim. Results indicate that being African Americans predicted increased levels of religious attendance, which in turn, decreased the levels of depressive symptoms. Religious attendance is an underlying mechanism partially explaining the race paradox in mental health, and a modifiable factor that mitigates depressive symptoms. Culturally sensitive interventions promoting social participation are warranted. Full article

Energy poverty, resulting from poor energy efficiency and economic and social barriers to accessing appropriate, modern, and sustainable energy services, remains a critical issue in Jordan, a country facing growing climate pressures, particularly given its history of rapid urbanization. This study examines energy poverty through a multidimensional lens, considering its spatial and socio-demographic variations across Jordan. Drawing on data from 19,475 households, we apply a novel energy poverty index and binary logistic regression to analyze key determinants of energy poverty and discuss their intersection with climate vulnerability. The energy poverty index (EPI) is structured around four pillars: housing, fuel, cooling, and wealth. The results show that 51% of households in Jordan are affected by energy poverty. Contributing factors include geographic location, gender, age, education level, dwelling type, ownership of cooling appliances, and financial stability. The results indicate that energy poverty is both a socio-economic and infrastructural issue, with the highest concentrations in the northern and southern regions of the country, areas also vulnerable to climate risks such as drought and extreme heat. Our findings emphasize the need for integrated policy approaches that simultaneously address income inequality, infrastructure deficits, and environmental stressors. Targeted strategies are needed to align social and climate policies for effective energy poverty mitigation and climate resilience planning in Jordan. Full article

Amidst the health and socioeconomic burdens COVID-19 placed on families, communities of color also grappled with heightened xenophobia and racism. Yet, adolescents also found silver linings in the form of spending time with family and engaging in activities promoting relaxation and leisure. The present study examined parent-adolescent relationship quality (RQ) as a moderator of the relations of Latinx youth’s environment (i.e., racial-ethnic discrimination, COVID-19 stress, and COVID-19 silver linings) on their anxiety and depressive symptoms, both concurrently and six months later. Participants included 135 Latinx adolescents (M_age = 16.00, SD = 1.27; 59.3% female; 85.2% U.S.-born). Path analytic models revealed that youth discrimination experiences were positively associated with youth symptomatology, whereas COVID-19 silver linings and positive RQ were negatively associated with youth symptomatology. We also found that at mean and higher levels of negative RQ, discrimination experiences were positively associated with concurrent anxiety symptoms, suggesting that negative relationship features (e.g., conflict, pressure) exacerbated the effects of discrimination on youth anxiety. Therefore, stressors may predict youth symptomatology concurrently, but cultivating a positive parent-adolescent relationship and encouraging finding silver linings may bolster resilience in Latinx youth across time amidst adversity. Full article

Background: Social determinants of health—including both adversity and socioeconomic position—are known to shape physical health, health-related behaviors, and overall well-being. However, the psychological mechanisms that link these determinants to diverse outcomes remain insufficiently explored across international contexts. Objective: The objective of this study is to test whether sense of mastery and control over one’s life mediates the associations between key stressors (childhood abuse, financial insecurity) and socioeconomic resources (education, employment, and marital status) with a wide range of outcomes spanning health, behaviors, and well-being. Methods: Using cross-sectional data from Wave 1 of the Global Flourishing Study (GFS), we analyzed responses from more than 200,000 adults in 23 countries. Predictors included exposure to childhood abuse, perceived financial insecurity, and indicators of socioeconomic position (education, employment, and marital status). Outcomes included self-rated physical and mental health, depression, anxiety, smoking, drinking, physical activity, life satisfaction, and happiness. Structural equation modeling (SEM) was used to evaluate both direct and indirect (mediated) effects through sense of mastery and control over life. Results: Stressors were associated with poorer health, higher engagement in risk behaviors, and lower well-being. In contrast, higher levels of education, employment, and being married were linked to more favorable outcomes. In all tested models, sense of mastery and control over life significantly mediated the effects of both stressors and socioeconomic resources on health, behaviors, and well-being outcomes. Conclusions: Sense of mastery and control over life may represent key psychological pathways linking both adversity and social advantage to diverse health-related outcomes. Interventions that enhance individuals’ perceived control may offer cross-cutting benefits to improve health, promote well-being, and reduce behavioral risk factors globally. Full article

The rapid shift to online education during the COVID-19 pandemic exacerbated mental health risks for students, particularly those experiencing multidimensional poverty—a potential contributor to psychological distress in digital learning environments. This study examines how poverty-driven techno-distress (technology-related stress) impacts university students’ mental health, focusing on 202 Chilean learners engaged in remote classes. Using partial least squares structural equation modeling (PLS-SEM), we analyzed multidimensional poverty and its association with techno-distress, measured through validated scales. The results suggest that poverty conditions are associated with 32.5% of technostress variance (R² = 0.325), while techno-distress may indirectly relate to 18.7% of students’ dissatisfaction with academic life—a proxy for emerging mental health risks. Importance–performance map analysis (IPMA) identified housing habitability (e.g., overcrowding, inadequate study spaces) and healthcare access as priority intervention targets, surpassing purely digital factors. These findings indicate that techno-distress in online education may function as a systemic stressor, potentially amplifying pre-existing inequities linked to poverty. For educators and policymakers, this highlights the urgency of early interventions addressing students’ physical environments alongside pedagogical strategies. By framing techno-distress as a public health challenge rooted in socioeconomic disparities, this work advances preventive approaches to safeguard student well-being in increasingly hybrid educational landscapes. Full article

Changes in the structure and composition of mangroves may be influenced by anthropogenic and natural causes. Mangrove coverage in Marismas Nacionales Nayarit –a Biosphere Reserve in northwestern Mexico—has declined in the last decades, mostly related to human activities (e.g., opening of the Cuautla inlet) and climate variability (e.g., El Niño Southern Oscillation and hurricanes), leading to diverse ecological and socioeconomic consequences. This contribution reports the impact of Cissus verticillata—a climbing plant species—in the structure of mangroves distributed in this Natural Protected Area during 2019 and 2022. Forest structure analysis was compared in four plots of 20 m × 20 m each, all of them influenced by San Pedro Mezquital river. Two plots (Unión de Corrientes) showed the presence of Cissus verticillata, while two nearby plots (Boca de Camichín) recorded no presence of this species. A poor mangrove structure, no natural seedling recruitment and high mortality was observed in those sites with the presence of C. verticillata. These results highlight the vulnerability of mangroves to C. verticillata in Marismas Nacionales Nayarit Biosphere Reserve, which in addition to other human and climate stressors may compromise its ecological integrity in the future. Full article

The behavioral immune system (BIS) refers to a set of evolved psychological mechanisms designed to detect cues of potential pathogen threat and trigger self-protective, avoidant behaviors. However, like all adaptations, the BIS carries potential costs alongside its benefits. This study aimed to examine the impact of BIS-related processes on mental health outcomes—including depression, anxiety, stress, and obsessive–compulsive symptomatology—during the COVID-19 pandemic. Data were collected online at two time points: the onset of the pandemic (May 2020; n = 990; 86% women) and at the end of its first year (November/December 2020; a subsample of the original participants, n = 182). Hierarchical regression analyses were conducted, entering socioeconomic variables and general quality of life in the first block, followed by BIS-related variables (germ aversion and perceived infectability) in the second block. Results showed that socioeconomic status and general quality of life were significant predictors of mental health difficulties at both time points, consistent with prior findings on the harmful effects of environmental and social stressors. Importantly, BIS variables also emerged as significant and independent predictors of mental health outcomes—including the development of obsessive–compulsive symptoms—highlighting the potential psychological costs of pathogen-avoidant motivations governed by the BIS. Full article

Background/Objectives: According to a diathesis–stress model for the development of mental illness, it is assumed that, in addition to pre-existing individual vulnerability, the occurrence of acute strains is an etiological factor. The SARS-CoV-2 pandemic was a collective massive stressor, which could predispose to a first manifestation of a mental disorder or the exacerbation of a pre-existing mental disorder. The aim of this study was to investigate the effects of the pandemic on the cohort of patients admitted to hospital during the first year of the pandemic. Methods: Patients admitted to inpatient treatment in a university psychiatric hospital in an urban region from April 2020 to March 2021 were interviewed using a systematic questionnaire assessing individual stress factors in the context of the pandemic. On the basis of the interview, clinical practitioners rated the influence of the pandemic on the admission. Results: Six hundred and forty-five patients were interviewed. Only 6.4% showed a strong influence of the pandemic on inpatient admission. This group was characterized by a comparatively high level of socioeconomic functioning. Additionally, the majority of this group had a pre-existing mental disorder. Conclusions: For the majority of patients, the pandemic had only a minor influence on their hospitalization; only for 6.4% was a high impact of the pandemic reported. We hypothesize that this group’s higher socioeconomic functioning in addition to a pre-existing mental disorder made them vulnerable to pandemic-associated limitations. These data confirm a complex diathesis–stress model for the development of mental illness in the context of an acute collective stressor. Full article

Antimicrobial resistance (AMR) has emerged as a critical global public health threat, exacerbating healthcare burdens and imposing substantial economic costs. Currently, AMR contributes to nearly five million deaths annually worldwide, surpassing mortality rates of any single infectious disease. The economic burden associated with AMR-related disease management is estimated at approximately $730 billion per year. This review synthesizes current research on the mechanisms and multifaceted drivers of AMR development and dissemination through the lens of the One Health framework, which integrates human, animal, and environmental health perspectives. Intrinsic factors, including antimicrobial resistance genes (ARGs) and mobile genetic elements (MGEs), enable bacteria to evolve adaptive resistance mechanisms such as enzymatic inactivation, efflux pumps, and biofilm formation. Extrinsic drivers span environmental stressors (e.g., antimicrobials, heavy metals, disinfectants), socioeconomic practices, healthcare policies, and climate change, collectively accelerating AMR proliferation. Horizontal gene transfer and ecological pressures further facilitate the spread of antimicrobial-resistant bacteria across ecosystems. The cascading impacts of AMR threaten human health and agricultural productivity, elevate foodborne infection risks, and impose substantial economic burdens, particularly in low- and middle-income countries. To address this complex issue, the review advocates for interdisciplinary collaboration, robust policy implementation (e.g., antimicrobial stewardship), and innovative technologies (e.g., genomic surveillance, predictive modeling) under the One Health paradigm. Such integrated strategies are essential to mitigate AMR transmission, safeguard global health, and ensure sustainable development. Full article

A robust body of research examines the association between socioeconomic status (SES), particularly its economic dimension, income poverty, and child maltreatment rates. However, several key questions regarding this relationship remain underexplored. Utilizing a critical literature review, this article finds that some forms of child maltreatment (i.e., sexual abuse) do not correlate with income poverty. Moreover, evidence about the effects of other dimensions of SES, including employment and education is not monolithic. The complexity of this relationship is further influenced by the data source and unit of analysis. Studies using administrative data and analyzing SES at the family or household level frequently report a strong correlation between SES and child maltreatment. However, this relationship weakens (or in some cases disappears) when examined at the neighborhood or regional level using self-report data. Our findings also suggest that the overrepresentation of minority groups in child maltreatment statistics can be, at least in part, attributed to economic disadvantages. Furthermore, social cohesion appears to buffer the effects of income poverty and material hardship, highlighting the role of inequality in weakening social networks and exacerbating socioeconomic stressors. A developing body of literature demonstrates the link between income inequality and child maltreatment rates and indicates that policies aimed at addressing the impact of SES on child maltreatment should not only focus on alleviating poverty-related factors, such as material hardship, unemployment, and housing instability, but also target broader class disparities as the common root of many social problems. Full article

Climate change significantly impacts agricultural infrastructure, particularly in communal land farming systems, where socio-economic vulnerabilities intersect with environmental stressors. This study examined the effects of extreme weather events (floods, droughts, strong winds, frost, and hail) on various agricultural infrastructures—including bridges, arable land, soil erosion control structures, dipping tanks, roads, and fences—using an ordered probit model. A survey was conducted using structured questionnaires between August and September 2023, collecting data from communal farmers (n = 60) in oKhahlamba Municipality, Bergville. Key results from respondents showed that roads (87%), bridges (85%), and both arable land and erosion structures were reported as highly affected by extreme weather events, especially flooding and frost. Gender, the type of farmer, access to climate information, and exposure to extreme weather significantly influenced perceived impact severity. The ordered probit regression model results reveal that drought (p = 0.05), floods (p = 0.1), strong winds (p = 0.05), and frost (p = 0.1) significantly influence the perceived impacts on infrastructure. Extreme weather events, including flooding (p = 0.012) and frost (p = 0.018), are critical drivers of infrastructure damage, particularly for smallholder farmers. Cumulative impacts—such as repeated infrastructure failure, access disruptions, and increased repair burdens—compound over time, further weakening resilience. The results underscore the urgent need for investments in flood-resilient roads and bridges, improved erosion control systems, and livestock water infrastructure. Support should also include gender-sensitive adaptation strategies, education on climate risk, and dedicated financial mechanisms for smallholder farmers. These findings contribute to global policy discourses on climate adaptation, aligning with SDGs 2 (Zero Hunger), 9 (Industry, Innovation, and Infrastructure), and 13 (Climate Action), and offer actionable insights for building infrastructure resilience in vulnerable rural contexts. Full article

Genetic predisposition accounts for less than 20% of the global disease burden, highlighting the substantial role of environmental factors in health outcomes. In chronic kidney disease (CKD), a growing global prevalence, understanding the interplay between genes and the environment is crucial. Emerging research in the exposome and genome underscores how environmental exposures interact with genetic variants to influence the development and progression of CKD. The term “exposome” encompasses a variety of factors, including personal behaviors like smoking, a sedentary lifestyle, and making specific dietary choices (such as consuming ultra-processed foods, sugar, or fat). It also includes broader determinants such as pesticides, air, water, and soil pollution, nanoplastics, global warming, stressful life events, and socioeconomic status. Research on the exposome significantly increases our understanding of toxicological processes and individual variations in susceptibility to environmental stressors. This narrative review aims to explore the exposome associated with CKD, highlight key environmental exposures in its development, and discuss potential preventive and therapeutic strategies informed by these exposure-related factors. Full article

The growing burden of mental health disorders necessitates a comprehensive understanding of their environmental and socioeconomic determinants. This study employs machine learning to analyze the relationship between mental health mortality and key socioeconomic and climatic factors across Southeast Asia. Using a Random Forest model (R² = 0.95), we identify the population size and the Physical Quality of Life Index (PQLI) as the strongest predictors of mental health mortality, while climate indices—the proportion of warm nights (TN90p) and hot days (TX90p)—exhibit weaker direct effects (importance < 0.1), but significant indirect effects through socioeconomic pathways. The regional disparities highlight Indonesia as the most climate-sensitive country, whereas the Philippines shows weaker climate–mortality correlations, suggesting that its socioeconomic resilience and healthcare infrastructure can mitigate climate impacts. These findings underscore the need for integrated climate–mental health strategies, particularly for vulnerable regions experiencing extreme temperatures and socioeconomic stressors. Full article