Impact Of Changes Research Articles

Impact of Climate Change and Extreme Temperature on the Incidence of Infectious Disease Among Children and Adolescents in China: A Nationwide Case-crossover Study with over 8.7 million cases between 2008 and 2019.

Impact of Climate Change and Extreme Temperature on the Incidence of Infectious Disease Among Children and Adolescents in China: A Nationwide Case-crossover Study with over 8.7 million cases between 2008 and 2019.

"Feeling your emotions is an act of rebellion:" How climate cafés across Canada support youth wellbeing during the climate crisis.

"Feeling your emotions is an act of rebellion:" How climate cafés across Canada support youth wellbeing during the climate crisis.

Impacts of climate change on hydrological patterns and implications for hydroelectric power generation in Khimti River Basin, Nepal

Climate change has considerable influence on mountain environments and the related hydrological processes, in turn affecting hydropower. Climatic unpredictability and rising temperatures cause soil water depletion, leading to unpredictable downstream runoff. This study examines the consequences of climate change on hydrological regimes and their effect on hydropower production in Khimti River basin of Nepal. This study used the soil and water assessment tool (SWAT) in the shared socioeconomic pathway (SSP2 4.5 and SSP5 8.5) emission scenarios of three climate models (CanESM5, MIROC6, and MRI-ESM2-0) from the Coupled Model Intercomparison Project Phase 6 (CMIP6). The study encompassed recorded temperature and rainfall data to correct errors. River discharge data were utilized for calibration and validation the SWAT model, leveraging 21 hydrological parameters. The result revealed that the projected stream flow is higher than the observed flow in all seasons except CanESM5 for the monsoon season from 2023 to 2074. Results showed the average annual flow increased by 0.2–54% in all time intervals for both scenarios. The excess energy power generation and economic benefits increase extensively in the future, with the greatest contribution during the spring season followed by the winter season. The information obtained from this study can be useful for policymakers, planners, and investors for hydropower generation in Nepal.

The Impact of Climate Change on Flood Resilience Strategies in Communities of Ringim, Jigawa State, Nigeria

The increasing frequency and intensity of climate change-related events, such as floods, present pressing challenges to community resilience worldwide. This qualitative study investigates flood resilience strategies for community resilience in combating climate change at Ringim, Jigawa State, Nigeria. Against the backdrop of global climate change trends, this research explores how residents perceive, believe, and practice flood resilience in the face of evolving climate patterns. Through in-depth interviews, a Focus Group Discussion (FGD) and document analysis, this study examines the complex interactions between changing climatic conditions and community resilience efforts in Ringim. Findings point to the critical need for adaptive measures to enhance flood resilience in light of growing climate risks. By emphasising community participation in crafting sustainable resilience strategies, the research sheds light on the lived experiences and perspectives of Ringim residents. This study proposes areas for further research, including examining the long-term efficacy of adaptive measures, evaluating the impact of community engagement on resilience outcomes, and assessing the influence of governmental policies on building climate-resilient communities.

Assessing the impact of land use changes on urban heat risk under different development scenarios: A case study of Guangzhou in China

Assessing the impact of land use changes on urban heat risk under different development scenarios: A case study of Guangzhou in China

Sustainable embankment contribute to a sustainable economy: The impact of climate change on the economic disaster in coastal area

Sustainable embankment contribute to a sustainable economy: The impact of climate change on the economic disaster in coastal area

The impact of regulatory design change on financial reporting outcomes: Evidence from a Quasi-natural experiment

The impact of regulatory design change on financial reporting outcomes: Evidence from a Quasi-natural experiment

Modeling the impact of climate change on suitable areas for the underutilized crop Cyperus esculentus (tiger nut) and implications for production expansion and conservation in Togo, West Africa

Cyperus esculentus L., an important food and medicinal plant, is increasingly threatened by climate change in Togo. This study aims to model its current and future distribution using the MaxEnt and Bioclim algorithms, incorporating environmental variables and occurrence data from the field and the GBIF database. Projections were made using three climate scenarios (SSP1-2.6, SSP2-4.5, SSP5-8.5) for the time horizon 2041–2060. The results show that soil, altitude, minimum temperature of the coldest month, annual precipitation and agricultural production strongly influence the distribution of the species. Both models perform well (AUC, TSS, SEDI), but MaxEnt is superior. Currently, 40% of the country is suitable for tiger nut cultivation, with optimal habitats concentrated in the south. Future scenarios predict a strong decrease of suitable areas in the north and a slight expansion towards the center and south. Bioclim expects more significant losses, especially under SSP5-8.5. The overlap of current producer villages with future habitats shows that they would all be located in unsuitable areas by 2050. Priority conservation areas covering 35 to 66% of the territory have been identified but remain poorly represented in protected areas. These results highlight the need to rethink tiger nut management policies in Togo, focusing actions on introducing the crop in newly suitable areas, supporting affected producers, and integrating the identified priority areas into national climate change adaptation strategies.

Climate Change Anxiety Among Individuals with and Without Chronic Illnesses: The Roles of Exposure, Awareness, and Coping Strategies

Climate change poses a significant threat to individuals with chronic illnesses, yet research on the psychological effects of climate change among this population remains scarce. This study’s aim was to compare levels of climate change anxiety among individuals without chronic illnesses, with cardiovascular disease, and with respiratory disease, and to examine the roles of exposure, awareness, and coping strategies in predicting anxiety. A cross-sectional survey was conducted among 522 Israeli adults recruited from a national online panel, including groups with and without chronic illnesses. Participants completed self-report questionnaires assessing climate change exposure, awareness, coping strategies, and anxiety. Analyses revealed that individuals with cardiovascular disease reported higher levels of climate change anxiety than those without a chronic illness or with respiratory disease. Across groups, greater climate change exposure and greater use of problem-focused coping were associated with higher climate change anxiety, whereas meaning-focused coping and awareness were not significant predictors. Additionally, climate change exposure predicted anxiety only among participants with respiratory disease. These findings underscore the differential psychological impact of climate change based on health status, highlighting the need for targeted interventions to address climate change anxiety among vulnerable populations.

The role of IRBs in the Climate Change Response in the Field of Health and Climate Research

Many discussions have been held on the impact of climate change, infrastructure development, and minimizing the displacement and resilience in developing countries, including Bangladesh. Climate change is one of the risk factors for vulnerability. Nonetheless, the role of the IRB (Institutional Review Board) regarding climate change issues during protocol review is lacking. Currently, the Bangladesh Bioethics Society (BBS) has organized workshops on the IRB on climate change in health research. This initiatives represent a new episode in Bangladesh. This article highlights information about the current awareness programme that may be of interest to readers and policy guidelines. The perceptions and expectations of IRB members regarding workshops were captured through qualitative assessment to improve future workshops on climate change.

Impact of stress during family transitions on risk of alcohol use among American Indian, Asian, and White emerging adults

ABSTRACT This study examined how stress from stepfamily transitions predicted alcohol use among emerging adults (18–30 years old) in three racial groups: American Indian, Asian, and White. While previous research highlights the impact of family structure changes on drinking behavior, the specific role of stress resulting from stepfamily transitions across diverse populations remains underexplored. Using data from the Stepfamily Experiences Project (STEP), which surveyed adults about their perceptions of stepfamilies, this study used linear regression analysis to explore the relationship between stepfamily stress and alcohol use within each racial group. The sample consisted of 1,481 emerging adults. Contrary to the hypothesis, stress during stepfamily transitions did not significantly predict alcohol use for any of the racial groups. However, gender emerged as a significant predictor for both American Indian and White participants, with males linked to higher alcohol use. Age was also found to be a predictor of alcohol use among the White sample. Findings suggest that factors beyond stepfamily stress, such as socioeconomic opportunities and cultural influences, may play a crucial role in shaping alcohol use patterns among these groups in our sample. Further research exploring the long-term effects of stepfamily transitions on alcohol use across diverse populations and investigating the potential moderating role of cultural factors is crucial for advancing our understanding of this complex issue.

Impact of climate change on hygrothermal durability of exterior, non-load-bearing mass timber wall

Impact of climate change on hygrothermal durability of exterior, non-load-bearing mass timber wall

The impact of green spaces, urban settings, seasonal changes, and pollutants on dissemination of antimicrobial genes in air

The dissemination of antimicrobial resistance genes (ARGs) in the air poses a significant public health challenge. Little is known about the role of vegetation in reducing the dissemination of aerosolised ARGs. DNA extracts obtained directly from the air sample were used to detect nine antimicrobial-resistant genes using qPCR and 16S rRNA sequencing. The average relative abundance of nine aerosolised ARGs (blaTEM, mecA, sul3, ermB, ermC, aac(6’)-Ib, tetM, tetW, and sul1) detected in urban spaces with high vegetation coverage (0.0083 (ARGs/16S rRNA), was slightly lower than in those with low or no vegetation (0.0135 (ARGs/16S rRNA)) (P > 0.05). The relative abundance of aerosolised ARGs around urban heat islands (UHI) significantly decreased (t = 2.06, P = 0.04) after central heating was switched off. To our knowledge, this is the first study to report the relative abundance of the mecA gene in urban air. UHIs may be a reservoir of ARGs in urban air, hence, planting non-allergenic trees and bushes or hedgerows could be an effective way to decrease the dissemination of aerosolised ARGs. We also detected ARG reduction in high-vegetation-covered areas. Further study is required to explore the vegetation-mediated reduction of ARGs in the air.

Coupled impact of climate change and human activities on farmland loss on the Tibetan Plateau

Coupled impact of climate change and human activities on farmland loss on the Tibetan Plateau

Trend analysis and future predictions of global burden of alzheimer’s disease and other dementias: a study based on the global burden of disease database from 1990 to 2021

BackgroundAs the global aging issue grows, dementia, particularly Alzheimer’s disease (AD), has become a major public health challenge for everyone. This study utilizes the Global Burden of Disease (GBD) database to analyze trends in the epidemiology of AD and other dementias from 1990 to 2021 and to predict future burdens to 2040.MethodsWe examined global, regional, and national data on AD and other dementias, focusing on incidence, prevalence, and Disability-Adjusted Life Years (DALYs). Joinpoint regression analysis was employed to identify significant changes in trends over time. The effects of age, period, and birth cohort on the risk of AD and other dementias were analyzed. Additionally, the impact of aging, population growth, and epidemiological changes on DALYs was assessed across different Socio-demographic Index (SDI) quintiles.ResultsThe global burden of AD and other dementias has significantly increased, with the highest incidence, prevalence, and DALYs observed in East Asia. A notable increase in prevalence was observed in females over 65 years compared to males. Joinpoint regression analysis revealed substantial changes in trends in 1995, 2005, 2011, and 2019, with a noticeable acceleration post-2011, especially after 2019. Age was a significant risk factor, with a sharp increase in risk after 60 years of age. Epidemiological changes had a minor impact globally but varied by region and gender. Bayesian age-period-cohort modeling predicts sustained growth through 2040, with age-standardized incidence and prevalence rates projected to reach 144.85 and 821.80 per 100,000 respectively, driven predominantly by aging populations in high SDI regions and demographic expansion in low SDI regions.ConclusionsThe global burden of AD and other dementias is escalating, with a pronounced increase expected by 2040. This study highlights the need for targeted interventions, particularly in regions with higher burdens and among older populations. The findings underscore the importance of considering SDI, age, and gender when planning public health strategies to address the growing challenge of AD and other dementias.

Exploring the nexus between climate change, political stability, and income inequality in Somalia

Abstract Income inequality remains a critical challenge globally, with developing nations experiencing the most severe disparities. In fragile states like Somalia, climate change and political instability exacerbate economic inequality, limiting opportunities and deepening structural inequities. This study empirically examines the impact of climate change, political stability, and macroeconomic variables—including GDP per capita, inflation, population growth, and urbanization—on income inequality in Somalia from 1980 to 2022. Using the Autoregressive Distributed Lag (ARDL) model and Fully Modified Ordinary Least Squares (FMOLS), the study explores both short-run and long-run dynamics. The findings reveal that in the long run, rising temperatures significantly increase income inequality, while GDP per capita growth reduces disparities. Political stability, though beneficial for economic growth, is associated with widening inequality, suggesting that economic gains during stable periods are not evenly distributed. Population growth exacerbates income inequality, while inflation and urbanization show no significant long-run effects. In the short run, rainfall increases inequality, while short-term temperature fluctuations temporarily reduce disparities due to seasonal labor demand. The error correction term confirms a stable long-run relationship, with approximately 36.8% of disequilibrium corrected annually. FMOLS results reinforce the robustness of these findings, emphasizing climate factors and economic growth as key determinants of inequality. These findings highlight the need for policies that mitigate climate-induced inequality, promote equitable wealth distribution, and ensure inclusive economic growth. Strengthening climate adaptation, expanding financial inclusion, stabilizing inflation, and supporting rural development are essential to fostering long-term economic equity in Somalia.

Increased Prevalence of Stroke After Heart Transplant in the New Allocation System Era.

Increased Prevalence of Stroke After Heart Transplant in the New Allocation System Era.

Spatial regression analysis of land use impact on land surface temperature in four East Asian metropolises

The escalating impact of global climate change on the urban heat island effect presents a significant challenge for sustainable urban planning and the preservation of thermal comfort in metropolitan areas. The impact of land use composition on land surface temperature varies across different locations and climate zones. This study employed spatial regression, including Spatial Lag Model (SLM) and Spatial Error Model (SEM), to investigate the correlation between land use types and temperature in four East Asian metropolises: Beijing, Seoul, Tokyo, and Taipei. Moderate Resolution Imaging Spectroradiometer (MODIS) datasets are applied to generate the summer land surface temperature. At the same time, Sentinel-2 imageries and Visible Infrared Imaging Radiometer Suite (VIIRS) are integrated to derive the land use and cover, effectively distinguishing high- and low-development areas. The results indicate that Tokyo experienced the most severe heat among the four metropolises during the summer of 2020. Both spatial lag and spatial error models can effectively improve the OLS model, making its coefficients more representative. Additionally, we observe that low-density building areas have a higher impact on temperature than high-density building areas. The outcome of this study can be utilized to develop effective large-scale strategies for mitigating the urban heat island effect.

Impact of climate change on the toxicity of bisphenol A in Mytilus galloprovincialis and assessment of phycoremediation using Nannochloropsis salina via a multi-biomarker strategy and modeling.

Impact of climate change on the toxicity of bisphenol A in Mytilus galloprovincialis and assessment of phycoremediation using Nannochloropsis salina via a multi-biomarker strategy and modeling.

Uncertainty in climate change impacts in Danish straw and digestate pyrolysis systems.

Uncertainty in climate change impacts in Danish straw and digestate pyrolysis systems.