Search Results (772)

In the current context of urbanization, urban agglomerations face complex challenges in maintaining an ecological balance. This study uses remote sensing images of the Central Yunnan urban agglomeration from 2000 to 2020, along with socioeconomic data, to analyze the spatiotemporal characteristics of the green space evolution. Utilizing dynamic geographically weighted regression analysis based on principal components (PCA-GWR), we identify the key socioeconomic factors influencing these changes and quantitatively analyze the driving forces in each stage. Our findings reveal a continuing trend of decreasing total green space alongside increasing individual forest types and pronounced regional disparities in green space dynamics. The results indicate that socioeconomic factors exert both positive facilitative effects and negative pressures, with evident spatial and temporal variability. Urbanization and economic development promote forest expansion in certain areas, while contributing to the reduction in farmland and shrub–grass lands. Significant variations are influenced by factors such as the urbanization rate, the agricultural population, the industrial composition, and fiscal revenue. This study enhances the in-depth understanding of the relationship between the spatiotemporal dynamics of green spaces and socially driven mechanisms, offering significant insights for sustainable urban planning and landscape management and harmonizing urban agglomeration development. Full article

This cross-sectional study assessed the magnitude of inequalities in self-rated oral health (SROH) among different socioeconomic groups in Brazil. Secondary data from interviews with a sample of adults (≥18 years) from the national health survey 2013 (n = 64,308) and 2019 (n = 88,531) were analyzed. Positive SROH was considered when participants selected the good or very good options. Socioeconomic indicators were monthly household income and years of education. The magnitude of inequalities among socioeconomic groups was estimated using the Slope (SII) and Relative Index of Inequality (RII). Interaction term assessed changes in SII/RII over time. Estimates were adjusted for sex and age. The prevalence of SROH was 67.50% in 2013 and 69.68% in 2019. Individuals with lower socioeconomic indicators had a lower prevalence of positive SROH. Significant reductions in the magnitude of the education-based RII between 2013 (1.58) and 2019 (1.48) in Brazil, as well as in north (1.70; 1.45) and northeast (1.50; 1.41) regions and reduction in the income-based RII in the north (1.71; 1.51) were observed. Socioeconomic inequalities in SROH persist across different Brazilian regions, although there was a reduction in disparities among education groups in 2019 compared with 2013. The findings of this study suggest that equitable Brazilian oral health policies may have contributed to reducing SROH inequality over time. Full article

This pioneering study explores the geospatial and temporal patterns of natural and human-induced disasters from 1900 to 2024, providing essential insights into their global distribution and impacts. Significant trends and disparities in disaster occurrences and their widespread consequences are revealed through the utilization of the comprehensive international EM-DAT database. The results showed a dramatic escalation in both natural and man-made (technological) disasters over the decades, with notable surges in the 1991–2000 and 2001–2010 periods. A total of 25,836 disasters were recorded worldwide, of which 69.41% were natural disasters (16,567) and 30.59% were man-made (technological) disasters (9269). The most significant increase in natural disasters occurred from 1961–1970, while man-made (technological) disasters surged substantially from 1981–1990. Seasonal trends reveal that floods peak in January and July, while storms are most frequent in June and October. Droughts and floods are the most devastating in terms of human lives, while storms and earthquakes cause the highest economic losses. The most substantial economic losses were reported during the 2001–2010 period, driven by catastrophic natural disasters in Asia and North America. Also, Asia was highlighted by our research as the most disaster-prone continent, accounting for 41.75% of global events, with 61.89% of these events being natural disasters. Oceania, despite experiencing fewer total disasters, shows a remarkable 91.51% of these as natural disasters. Africa is notable for its high incidence of man-made (technological) disasters, which constitute 43.79% of the continent’s disaster events. Europe, representing 11.96% of total disasters, exhibits a balanced distribution but tends towards natural disasters at 64.54%. Examining specific countries, China, India, and the United States emerged as the countries most frequently affected by both types of disasters. The impact of these disasters has been immense, with economic losses reaching their highest during the decade of 2010–2020, largely due to natural disasters. The human toll has been equally significant, with Asia recording the most fatalities and Africa the most injuries. Pearson’s correlation analysis identified statistically significant links between socioeconomic factors and the effects of disasters. It shows that nations with higher GDP per capita and better governance quality tend to experience fewer disasters and less severe negative consequences. These insights highlight the urgent need for tailored disaster risk management strategies that address the distinct challenges and impacts in various regions. By understanding historical disaster patterns, policymakers and stakeholders can better anticipate and manage future risks, ultimately safeguarding lives and economies. Full article

Despite the acknowledged impact of early science achievement on future success, there is a noticeable gap in research focused on understanding the dynamic longitudinal patterns of children attaining science learning milestones in their early years, as well as few investigations of potential factors that may mitigate gender, racial/ethnic, and socio-economic disparities. This study analyzed nationally representative data from the Early Childhood Longitudinal Study of Kindergarten Cohort 2011 (ECLS-K: 2011), involving 18,174 children from 1328 schools across the United States, selected through a multistage probability sampling process and spanning kindergarten through 5th grade. Using survival analysis with the dependent variable as the time required to attain a specific milestone, the study revealed that boys, non-Black, non-Hispanic, and high-income children reached the science learning threshold earlier than their counterparts—girls, Black, Hispanic, and low-income children. Furthermore, the study underscored the crucial role of language and literacy skills in mitigating these disparities. The study’s implications stress the importance of targeted interventions to address early science education disparities, emphasizing professional development and integrating language and literacy with science learning. The research also enriches the global discourse on educational standards by introducing innovative methodologies to assess both the frequency and duration of science learning milestones. Full article

This study explores the environmental behavior disparities between urban and rural residents in China due to socioeconomic status differences amidst social governance and institutional reform. Using OLS regression models on the 2021 China General Social Survey (CGSS) data, it analyzes the impact of socioeconomic status on environmental behaviors. This study reveals that urban residents generally exhibit better environmental behaviors than rural residents. Education and income are identified as critical drivers, with education raising environmental awareness and income driving participation in environmental activities. Urban residents benefit more from these factors. The policy recommendations are for the government to enhance rural education resources and improve education quality, ensuring that education poverty alleviation policies are effectively implemented to support rural development. Simultaneously, promoting rural economic growth and narrowing the urban–rural economic gap is crucial for improving rural environmental behavior and achieving urban–rural environmental harmony. Furthermore, the results call on the international community to focus on environmental governance systems, aiming to provide references for other developing countries in formulating environmental policies, thereby promoting the creation of a more just, eco-friendly, and sustainable global development framework. Full article

Understanding the interrelationships between land use, climate change, and regional water yield is critical for effective water resource management and ecosystem protection. However, comprehensive insights into how water yield evolves under different land use scenarios and climate change remain elusive. This study employs the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) models, Patch-generating Land Use Simulation (PLUS) model, and Geodetector within a unified framework to evaluate the dynamics of land use, water yield, and their relationships with various factors (meteorological, social, economic, etc.). To forecast the land use/cover change (LUCC) pattern of the Yellow River Basin by 2030, three scenarios were considered: economic development priority (Scenario 1), ecological development priority (Scenario 2), and cropland development priority (Scenario 3). Climate change scenarios were constructed using CMIP6 data, representing low-stress (SSP119), medium-stress (SSP245), and high-stress (SSP585) conditions. The results show the following: (1) from 2000 to 2020, cropland was predominant in the Yellow River Basin, Henan Province, with significant land conversion to impervious land (construction land) and forest land; (2) water yield changes during this period were primarily influenced by meteorological factors, with land use changes having negligible impact; (3) by 2030, the water yield of Scenario 1 is highest among different land use scenarios, marginally surpassing Scenario 2 by 1.60 × 10⁸ m³; (4) climate scenarios reveal significant disparities, with SSP126 yielding 54.95 × 10⁸ m³ higher water yield than SSP245, driven predominantly by precipitation; (5) Geodetector analysis identifies precipitation as the most influential single factor, with significant interactions among meteorological and socio-economic factors. These findings offer valuable insights for policymakers and researchers in formulating land use and water resource management strategies. Full article

The present study investigates territorial disparities in selected socioeconomic forces and environmental factors underlying soil degradation that may lead to early desertification processes in a dry Mediterranean region exposed to increasing human pressure. To verify if spatial disparities in land resources have increased over time, a standard approach based on the Environmentally Sensitive Area Index (ESAI) was adopted to evaluate sixty years of territorial transformations in Latium, Central Italy, a region prone to intense processes of land resource depletion. The ESAI provides a standard, holistic assessment of soil degradation based on the estimation of four different ‘resource qualities’ (climate, soil, vegetation, and land use) and their change over sufficiently long time windows; in this study, the procedure was run at three reference years (1960, 1990, and 2020). The observed divergence in soil degradation levels between coastal and inland districts arose during the study period, with a consequent reduction in the local-scale variability of the ESAI. Such differential processes observed along the elevation gradient in Central Italy are likely due to anthropogenic factors affecting land use and leveraging crop intensification in flat districts and farmland abandonment in steep areas. New findings to be achieved in the context of human impacts on land resource depletion are regarded as an original contribution to the study of early desertification processes in advanced economies. Full article

Research has highlighted racial and socioeconomic disparities for families in child welfare, with calls to address inequities through trainings and structural change. However, few measures have been developed to assess the recognition of racial and class biases among child welfare practitioners, one key step in addressing implicit biases and reducing racial disparities. While the Families First Prevention Services Act has prioritized evidence-based practices, it is crucial to ensure that practitioners are culturally responsive. This study developed and piloted the Race and Class Bias in Child Welfare Scale to measure the awareness of implicit and structural biases among child welfare practitioners. The development and validation of the Race and Class Bias in Child Welfare Scale included three parts: (1) scale development; (2) scale piloting using exploratory factor analysis; and (3) scale validation using confirmatory factor analysis. Two main factors were identified that explained 68.05% of the total variance; eight of the nine items loaded onto the two factors. Items on the first factor reflected implicit bias recognition, and items on the second factor reflected structural bias. Preliminary findings suggest that a two-factor scale presents good internal reliability and validity. As the Family First Preservation Services Act continues to prioritize evidence-based practices, it is important to consider the cultural sensitivity and responsiveness of providers administering them. Full article

This study explores the relationship between the entrepreneurship ecosystem and decent work in digital entrepreneurship, raising essential questions about the roles of economic growth and socioeconomic status. By examining this relationship, the research aims to clarify how these factors influence opportunities, inclusivity, and sustainable development in the digital entrepreneurship landscape. It investigates both the direct impacts of the entrepreneurship ecosystem and decent work and the moderating effects of economic growth and socioeconomic disparities on digital entrepreneurship. These moderating factors are crucial for understanding how broader economic conditions can enhance or limit the entrepreneurship ecosystem’s effectiveness. Data were collected from 624 entrepreneurs in the Kingdom of Saudi Arabia (KSA) to empirically test this model, providing a solid foundation for the proposed hypotheses. The findings significantly affect knowledge advancement and policymaking, particularly concerning KSA Vision 2030. The results confirm the vital roles of a well-developed entrepreneurship ecosystem and the promotion of decent work in supporting digital entrepreneurship. Moreover, the moderating effects of economic growth and socioeconomic status indicate that policy interventions should consider these broader contextual factors to be effective. For policymakers, this study emphasizes the need to foster an environment that strengthens the entrepreneurship ecosystem while addressing economic inequalities and promoting sustained growth. Aligning these initiatives with KSA Vision 2030 could advance digital entrepreneurship as a pivotal element of the country’s economic diversification and development strategies. Ultimately, the study aims to inform policies that enhance inclusivity and sustainability in the digital entrepreneurship sector, ensuring that the advantages of digital innovation are widely accessible across society. Full article

Background and Objectives: Cardiovascular disease (CVD) remains a major public health issue worldwide, disproportionately affecting socioeconomically disadvantaged populations due to the social determinants of health (SDOHs). In Western Romania, these populations are particularly vulnerable to CVD. This study aims to investigate the prevalence and impact of cardiovascular risk factors (CVRFs) among socioeconomically disadvantaged individuals in Western Romania and identify the primary CVRFs contributing to the high incidence of CVD within this population. Materials and Methods: A retrospective observational design was employed, utilizing data from the medical records of 1433 eligible individuals. The inclusion criteria were based on Eurostat’s EU-SILC benchmarks, focusing on severe material deprivation, at-risk-of-poverty rates, and low work intensity. Data on demographics, familial and personal medical history, smoking status, blood pressure, glucose, cholesterol, triglycerides, and HbA1c levels were collected. Results: Of the 1433 subjects, 34.75% were male, with a median age of 52 years. Significant conditions included diabetes (7.39%), coronary disease (3.83%), arterial hypertension (35.58%), and dyslipidemia (21.28%). Median ages were higher for those with diabetes (65 vs. 51 years, p < 0.0001), coronary disease (64 vs. 51 years, p < 0.0001), arterial hypertension (65 vs. 43 years, p < 0.0001), and dyslipidemia (66 vs. 47 years, p < 0.0001). BMI (Body Mass Index) classifications showed 33.77% were overweight, 21.21% obese, and 15.07% morbidly obese. Smokers were younger than non-smokers (48 vs. 54 years, p < 0.0001). Conclusions: The findings highlight the significant prevalence of CVRFs among socioeconomically disadvantaged populations in Western Romania. Socioeconomically disadvantaged populations exhibit a significantly higher prevalence of cardiovascular risk factors such as diabetes, impaired glucose regulation, hypertension, and dyslipidemia compared to their before known status. Full article

The objective of this study was to determine the correlation between adherence to cancer screening programs and earlier diagnosis of the 14 most common types of cancers in the adult population, before and during the COVID-19 pandemic. National data concerning number of admissions and operations in Italy for adult patients admitted with oncologic problems during the COVID-19 pandemic (2020 to 2022) and in the pre-pandemic period (2015 to 2019) were analyzed. We selected 14 types of cancer that present the most common indications for surgery in Italy. This study included 1,365,000 adult patients who had surgery for the 14 most common types of cancer in the period 2015–2022, and interviews concerning adherence rates to screening for breast, colorectal, and cervical cancer were conducted for 133,455 individuals. A higher decrease in the number of operations for the 14 types of cancer (−45%) was registered during the first three acute phases of the pandemic, and it was more evident for screenable cancers like breast, colorectal, and cervical cancer (p < 0.001). During the first year of the COVID-19 pandemic, the number of screened individuals for breast, colorectal, and cervical cancer decreased by 33.8% (from 7,507,893 to 4,969,000) and the number of diagnoses and operations for these three types of cancer decreased by 10.5% (from 107,656 to 96,405). The increase and return to normality of the number of screened individuals in the last year of the pandemic (2022) and in the first post-pandemic year (2023) was associated with a return to the pre-pandemic levels of diagnoses and operations. The adherence rates were lower for individuals living in rural areas, with low socio-economic status, and unmarried persons; however, the most statistically significant factor for reduced adherence was a lower level of educational attainment. Free screening through nationally organized programs reduced social disparities. There were no significant differences between the pre-pandemic and pandemic periods for several types of cancers (stomach, esophagus, pancreas, liver) that are diagnosed for the occurrence of symptoms and for which nationally organized programs might increase the possibility of earlier diagnosis and improved clinical outcomes. Education, information, and appropriate expenditure for preventive care have the potential to reduce cancer mortality. Nationally organized screening programs for several types of cancers, which are often detected for the occurrence of symptoms, may increase the possibility of diagnosis at earlier stages. Full article

Long-term exposure to PM_2.5 pollution increases the risk of cardiovascular diseases, particularly ischemic heart disease (IHD). Current assessments of the health effects related to PM_2.5 exposure are limited by sparse ground monitoring stations and applicable disease research cohorts, making accurate health effect evaluations challenging. Using satellite-observed aerosol optical depth (AOD) data and the XGBoost-PM25 model, we obtained 1 km scale PM_2.5 exposure levels across China. We quantified the premature mortality caused by PM_2.5-exposure-induced IHD using the Global Exposure Mortality Model (GEMM) and baseline mortality data. Furthermore, we employed the Gini coefficient, a measure from economics to quantify inequality, to evaluate the distribution differences in health impacts due to PM_2.5 exposure under varying socioeconomic conditions. The results indicate that PM_2.5 concentrations in China are higher in the central and eastern regions. From 2007 to 2022, the national overall level showed a decreasing trend, dropping from 47.41 μg/m³ to 25.16 μg/m³. The number of premature deaths attributable to PM_2.5 exposure increased from 819 thousand in 2007 to 870 thousand in 2022, with fluctuations in certain regions. This increase is linked to population growth and aging because PM_2.5 levels have decreased. The results also indicate disparities in premature mortality from IHD among different economic groups in China from 2007 to 2022, with middle-income groups having a higher cumulative proportion of IHD-related premature deaths compared with high- and low-income groups. Despite narrowing GDP gaps across regions from 2007 to 2022, IHD consistently “favored” the middle-income groups. The highest Gini coefficient was observed in the Northwest (0.035), and the lowest was in the South (0.019). Targeted policy interventions are essential to establish a more equitable atmospheric environment. Full article

The impact of racial healthcare disparities has been well documented. Adverse social determinants of health, such as poverty, inadequate housing, and limited access to healthcare, are intricately linked to these disparities and negative health outcomes, highlighting the profound impact that social and economic factors have on individuals’ overall well-being. Recent evidence underscores the role of residential location on individual health outcomes. Despite the importance of a healthy lifestyle, regular physical activity, balanced nutrition, and stress management for favorable health outcomes, individuals living in socioeconomically disadvantaged areas may face obstacles in achieving these practices. Adverse living conditions, environmental factors, and systemic biases against Black Americans perpetuate allostatic load. This, compounded by decreased physical activity and limited healthy food options, may contribute to increased oxidative stress and inflammation, fundamental drivers of morbidities such as cardiovascular disease and cancer. Herein, we perform a narrative review of associations between healthcare disparities, chronic stress, allostatic load, inflammation, and cancer in Black Americans, and we discuss potential mechanisms and solutions. Additional research is warranted in the very important area of cancer disparities. Full article

This study examines the link between food deserts and cardiovascular health in older adults in Santiago’s Metropolitan Region, Chile. As the population ages and chronic diseases rise, understanding the impact of food accessibility on health is essential. Using multiscale geographically weighted regression, we analyzed data from the Cardiovascular Health Program, socioeconomic indicators, and food desert maps, sourced from the Chilean Ministry of Health and other databases. Spatial analysis, including Voronoi diagrams, assessed the influence of food deserts on health outcomes. Findings show a significant correlation between limited access to healthy foods and higher cardiovascular disease rates, especially in economically disadvantaged areas. The regression model is significant to contribute to the explanation of disease prevalence, emphasizing the impact of food availability on health. This study highlights the importance of considering spatial factors in urban planning and public health policies. By showcasing the role of food environments in health disparities, it advocates for integrated health interventions. Targeted urban planning to address food deserts can enhance access to healthy foods, improving cardiovascular health and well-being among Santiago’s elderly. The findings provide insights for policymakers to create healthier urban environments and stress the need for sustainable food systems to support public health. Full article

Background/Objectives: This study aimed to assess the nutritional status of children and adolescents with celiac disease (CD) in Kuwait and investigate the nutritional deficiencies and sociodemographic factors associated with growth stunting in this population. Methods: This case–control study included 77 CD patients aged 3–18 years diagnosed with CD using IgA anti-tissue transglutaminase and duodenal biopsy and 33 healthy controls. Nutritional status was evaluated based on demographic and clinical characteristics, anthropometric measurements, and biochemical parameters. Univariate and multivariate logistic regression models were used to determine the association between CD and growth stunting. Results: Approximately one-third (31%) of children with CD had stunted growth, 20.8% had a low body mass index for their age, and 5.2% had both growth stunting and wasting. Children with CD had higher odds of iron-deficiency anemia, vitamin D deficiency, anemia, and lower socioeconomic status. They were also younger and had decreased serum levels of vitamin D compared to the controls. These factors were all significantly associated with an increased risk of CD, collectively explaining over 50% of the risk. For growth stunting, lower education status among mothers, family income, and serum ferritin were identified as risk factors. Conclusions: A significant proportion of children and adolescents with CD had malnutrition, overt deficiencies, and impaired growth despite coherence with a gluten-free diet. Recommendation: Routine monitoring and targeted nutritional interventions are recommended for children and adolescents with CD to address malnutrition and growth stunting. Addressing socioeconomic disparities and enhancing maternal education may also help mitigate the risk factors. Full article