BACKGROUND AND OBJECTIVES

Climate anxiety is an emerging concept defined as increased anxiety about climate change and has been linked to negative mental health outcomes. As a relatively new concept, only a few have characterized it and its relationship with mental health, especially in the Global South populations. This study aimed to investigate the relationship between climate anxiety and depressive symptoms among undergraduate students from a college in a higher education institution in Manila, Philippines. Specifically, it aimed to (1) determine the proportion of undergraduate students who reported high levels of climate anxiety and depressive symptoms; and (2) determine the association between climate anxiety and depressive symptoms.

Using a cross-sectional design and a convenience sampling method, the investigators collected data through an online survey to assess levels of climate anxiety and depressive symptoms using the Climate Change Anxiety Scale (CCAS) and the Patient Health Questionnaire 9 (PHQ-9), respectively. Data was analyzed using multiple logistic regression.

Among the 148 respondents (N=325), 14.86% had high climate anxiety (i.e., CCAS score >= 3) and 62.84% had high depressive symptoms (i.e., PHQ-9 score >= 10). Regression analysis showed that the odds of those having high climate anxiety reporting high depressive symptoms are higher than those with low climate anxiety, though this is not significant (OR = 2.53, p=0.144).

The study verifies the existence of climate anxiety among undergraduate students and reflects an alarming mental health situation in the selected college. It is recommended that wide-scope investigations on the current state of climate anxiety and mental health among the youth be done to verify their impacts, along with inter-sectoral efforts such as increasing awareness through health education interventions to improve the youths’ mental health literacy and resilience to the effects of climate change, and promoting climate change-responsive mental health services to address these as pressing threats to youth health.

BACKGROUND

The relationship between pandemics and climate change has emerged as a critical area of study, particularly underscored by the COVID-19 pandemic, which exposed vulnerabilities in global health systems and environmental governance. Although direct evidence linking climate change to the spread of COVID-19 remains limited, rising global temperatures and ecosystem disruptions have intensified human–wildlife interactions, increasing the risk of zoonotic disease emergence.

This study aims to synthesize existing research on the interconnections between climate change and emerging infectious diseases, identify key knowledge gaps, and provide insights to guide integrated health and environmental policy development.

A systematic literature review was conducted using peer-reviewed articles published within the past two decades. Relevant studies were identified through scientific databases, focusing on evidence linking climate variability, ecosystem shifts, and zoonotic transmission dynamics.

Findings indicate that climate-induced changes—such as rising temperatures, altered precipitation patterns, and habitat disruption—affect vector ecology and wildlife migration, facilitating conditions for pathogen spillover. However, existing research remains fragmented, with limited longitudinal analyses and region-specific data to quantify these associations.

The interconnectedness of human health, environmental health, and biodiversity underscores the need for a holistic One Health approach. Strengthening interdisciplinary collaboration and integrating climate resilience into public health strategies are vital to addressing the multifaceted challenges posed by climate change and emerging pandemics.

Climate change is increasingly affecting public health and safety, disproportionately affecting vulnerable populations and aggravating existing health inequities. Recognizing the urgency of this challenge, the Department of Environmental and Occupational Health (EOH), College of Public Health, University of the Philippines Manila, convened the Seventh EOH Forum on November 21–22, 2024, with the theme Resilient Futures: Enhancing Health and Safety in Communities and Workplaces Amid Climate Challenges. This commentary highlights key points raised during the forum, with a focus on community-and workplace-level initiatives that address climate-related health risks. These efforts include the improvement of heat-health early warning systems, integration of climate resilience in occupational health and safety programs, and hospital-based interventions for environmental footprint reduction. The presentations also emphasized the need for multi-stakeholder collaboration, localized mitigation and adaptation strategies, and climate-informed health promotion activities. The forum highlighted that building resilient communities and workplaces requires not only policy alignment and institutional support but also interventions on the ground that are inclusive and equitable.

BACKGROUND AND OBJECTIVES

Climate anxiety is an emerging concept defined as increased anxiety about climate change and has been linked to negative mental health outcomes. As a relatively new concept, only a few have characterized it and its relationship with mental health, especially in the Global South populations. This study aimed to investigate the relationship between climate anxiety and depressive symptoms among undergraduate students from a college in a higher education institution in Manila, Philippines. Specifically, it aimed to (1) determine the proportion of undergraduate students who reported high levels of climate anxiety and depressive symptoms; and (2) determine the association between climate anxiety and depressive symptoms.

Using a cross-sectional design and a convenience sampling method, the investigators collected data through an online survey to assess levels of climate anxiety and depressive symptoms using the Climate Change Anxiety Scale (CCAS) and the Patient Health Questionnaire 9 (PHQ-9), respectively. Data was analyzed using multiple logistic regression.

Among the 148 respondents (N=325), 14.86% had high climate anxiety (i.e., CCAS score >= 3) and 62.84% had high depressive symptoms (i.e., PHQ-9 score >= 10). Regression analysis showed that the odds of those having high climate anxiety reporting high depressive symptoms are higher than those with low climate anxiety, though this is not significant (OR = 2.53, p=0.144).

The study verifies the existence of climate anxiety among undergraduate students and reflects an alarming mental health situation in the selected college. It is recommended that wide-scope investigations on the current state of climate anxiety and mental health among the youth be done to verify their impacts, along with inter-sectoral efforts such as increasing awareness through health education interventions to improve the youths’ mental health literacy and resilience to the effects of climate change, and promoting climate change-responsive mental health services to address these as pressing threats to youth health.

Environmental damage affects many aspects of healthcare, from extreme weather events to evolving population disease. Singapore's healthcare sector has the world's second highest healthcare emissions per capita, hampering the nation's pledge to reduce emissions by 2030 and achieve net zero emissions by 2050. In this review, we provide an overview of the impact environmental damage has on healthcare, including facilities, supply chain and human health, and examine measures to address healthcare's impact on the environment. Utilising the 'R's of sustainability - rethinking, reducing/refusing, reusing/repurposing/reprocessing, repairing, recycling and research - we have summarised the opportunities and challenges across medical disciplines. Awareness and advocacy to adopt strategies at institutional and individual levels is needed to revolutionise our environmental footprint and improve healthcare sustainability. By leveraging evidence from ongoing trials and integrating sustainable practices, our healthcare system can remain resilient against environment-driven challenges and evolving healthcare demands while minimising further impacts of environmental destruction.
Humans ; Climate Change ; Delivery of Health Care ; Singapore ; Conservation of Natural Resources ; Sustainable Development ; Environment

OBJECTIVES: To study the epidemiological characteristics of respiratory syncytial virus (RSV) infection in hospitalized children with community-acquired pneumonia (CAP) in Hebei Province. METHODS: Hospitalized children with CAP who tested positive for RSV and were admitted to Hebei Children's Hospital from various cities and counties across Hebei Province between January 2019 and December 2023 were included in the study. Clinical data were collected and analyzed to assess epidemiological characteristics. RESULTS: The clinical data of 43 978 children with CAP were collected, with an overall RSV detection rate of 25.98%. The detection rate was higher during the implementation of non-pharmaceutical interventions (NPIs) (30.60%) than in the non-NPIs period. Winter and spring were the primary epidemic seasons for RSV each year except in 2022. The detection rate in males (26.62%) was higher than in females (25.06%) (P<0.001). The highest detection rate (59.18%) was found in infants aged 29 days to <1 year. Single RSV infection was more common, with rhinovirus being the most frequent co-infection. CONCLUSIONS The overall RSV detection rate in Hebei Province is influenced by NPIs, being higher during their implementation. RSV predominantly circulates in winter and spring. The detection rate of RSV is higher in males and infants. RSV infection is primarily single, most often co-occurring with rhinovirus.
Humans ; Respiratory Syncytial Virus Infections/epidemiology* ; Female ; Male ; Infant ; Child, Preschool ; Seasons ; China/epidemiology* ; Infant, Newborn ; Community-Acquired Infections/epidemiology* ; Child

OBJECTIVES: To investigate the epidemiological characteristics of human metapneumovirus (hMPV) and the risk factors for severe pneumonia in hospitalized children. METHODS: The epidemiological characteristics of hMPV in hospitalized children at Hebei Children's Hospital from January 2019 to December 2023 were retrospectively analyzed. The clinical data of hospitalized children with hMPV infection from April to December 2023 were included, and independent risk factors for severe pneumonia were identified through logistic regression. RESULTS: A total of 44 092 children were tested, with an hMPV positive rate of 7.30% (3 220/44 092). Children aged 3-6 years constituted the largest proportion (40.93%, 1 318/3 220) among hMPV-positive cases. The detection rate varied significantly by year (P<0.001), peaking in 2022 (12.35%, 978/7 919). The peak season of the epidemic was winter and spring from 2019 to 2021, but shifted to spring and summer from 2022 to 2023. The proportion of co-infection was 38.70% (1 246/3 220), primarily with rhinovirus (600/1 246, 48.15%), Mycoplasma pneumoniae (217/1 246, 17.42%), and respiratory syncytial virus (182/1 246, 14.61%). The main manifestations of hMPV pneumonia were cough, expectoration, and fever. Children with severe pneumonia were significantly younger (P<0.05). Wheezing, underlying diseases, co-infection, and younger age were identified as independent risk factors for severe pneumonia (P<0.05). CONCLUSIONS There are significant annual and seasonal differences in the epidemiological characteristics of hMPV in hospitalized children. Young age, underlying diseases, wheezing, and co-infection are independent risk factors for severe pneumonia.
Humans ; Risk Factors ; Metapneumovirus ; Child, Preschool ; Child ; Male ; Female ; Paramyxoviridae Infections/complications* ; Pneumonia/epidemiology* ; Retrospective Studies ; Child, Hospitalized ; Infant ; Logistic Models ; Seasons ; Hospitalization

Under the background of climate change, the escalating air pollution and extreme weather events have been identified as risk factors for chronic respiratory diseases (CRD), causing serious public health burden worldwide. This review aims to summarize the effects of changed atmospheric environment caused by climate change on CRD. Results indicated an increased risk of CRD (mainly COPD, asthma) associated with environmental factors, such as air pollutants, adverse meteorological conditions, extreme temperatures, sandstorms, wildfire, and atmospheric allergens. Furthermore, this association can be modified by factors such as socioeconomic status, adaptability, individual behavior, medical services. Potential pathophysiological mechanisms linking climate change and increased risk of CRD involved pulmonary inflammation, immune disorders, oxidative stress. Notably, the elderly, children, impoverished groups and people in regions with limited adaptability are more sensitive to respiratory health risks caused by climate change. This review provides a reference for understanding risk factors of CRD in the context of climate change, and calls for the necessity of adaptive strategies. Further interdisciplinary research and global collaboration are needed in the future to enhance adaptability and address climate health inequality.
Climate Change ; Humans ; Air Pollution/adverse effects* ; Risk Factors ; Respiratory Tract Diseases/etiology* ; Chronic Disease ; Air Pollutants/adverse effects* ; Environmental Exposure/adverse effects*

BACKGROUND: Globally, Japan has the highest drowning mortality among older adults, largely because of bathing customs. Although this mortality rate peaks in winter, the nationwide impact of outdoor temperature has not been quantified, and whether specific days carry greater risks for bathtub drowning deaths remains unclear. Therefore, we aimed to address these gaps using nationwide data from Japan. METHODS: We collected daily data on outdoor temperatures and bathtub drowning deaths (from death certificates), along with population data, across 47 prefectures from 1995-2020. A time series regression model incorporating a cyclic spline for day-of-year and a cross-basis function for outdoor temperature was used to estimate seasonality and temperature attributable fractions (AFs). Prefecture-specific estimates were pooled using meta-analysis. National holidays were defined by the Act on National Holidays. RESULTS: During the study period, 99,930 home bathtub drowning deaths were recorded. The AF for seasonality modelled with a cyclic spline for day-of-year was 77.8% (empirical confidence interval [eCI]: 76.7-78.8%), which decreased to 15.3% (eCI: 13.1-18.0%) after adjusting for outdoor temperature, indicating that outdoor temperature accounted for 80.3% of the seasonal effect. Elevated risks were observed on Sundays (relative risk = 1.16, 95% CI: 1.12-1.20), holidays (1.12, 95% CI: 1.08-1.16), New Year's Day (1.72, 95% CI: 1.61-1.84), and New Year's Eve (1.63, 95% CI: 1.52-1.74) in the adjusted model, which included a cyclic spline for day-of-year and a cross-basis function for outdoor temperature. CONCLUSION Our findings highlight the importance of mitigating the impact of outdoor temperature on bath-related death risk. Identifying high-risk days can be used to help develop targeted preventive strategies.
Seasons ; Humans ; Drowning/epidemiology* ; Japan/epidemiology* ; Temperature ; Aged ; Male ; Adult ; Female ; Middle Aged ; Child ; Young Adult ; Adolescent ; Aged, 80 and over ; Child, Preschool

Climate and land use changes may significantly impact the habitat distribution of Gastrodia elata, an endangered traditional medicinal plant. Accurately predicting its future potential suitable habitats is crucial for its conservation and sustainable development. This study integrates current distribution data of G. elata with 56 environmental variables and uses the MaxEnt model to predict changes in its suitable habitats under current climate conditions and four future climate scenarios(SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). The results show that October precipitation and December minimum temperature are key environmental factors influencing its distribution. Under the current climate, optimal habitats for G. elata are concentrated in montane forest areas in Sichuan, Yunnan, Guizhou, and Hubei, which meet the species' requirements for understory growth. Across all future scenarios, the suitable habitat of G. elata consistently shows a stable northward shift, with a steady increase in suitable areas, extending to the middle and lower reaches of the Yangtze River and the Huang-Huai region, and even expanding into Liaoning, Jilin, and southern Heilongjiang. Land use analysis, taking into account the protection of arable land and the utilization of forest resources, indicates that by 2100, under future climate conditions, arable land in medium-to high-suitability areas is expected to increase by 30%-124%. While the conversion of non-suitable forest land into suitable habitats is projected to increase by 5%-52%, the growth of medium-to high-suitability areas within forests is relatively modest, ranging from 1% to 24%. These findings highlight the need to balance agricultural expansion with forest resource conservation to ensure the long-term sustainability of G. elata and provide scientific guidance for future suitable habitat management.
Ecosystem ; China ; Climate Change ; Gastrodia/growth & development* ; Conservation of Natural Resources ; Plants, Medicinal/growth & development*