Influence Of Socioeconomic Factors Research Articles

Understanding Micronutrient Access through the Lens of the Social Ecological Model: Exploring the Influence of Socioeconomic Factors-A Qualitative Exploration.

Micronutrient deficiencies disproportionately affect various populations, influenced by a complex interplay of socioeconomic factors. This study delves into the intricate relationship between socioeconomic status and micronutrient access, emphasizing the perceptions of affordability, availability, and the impact of social support networks. A qualitative research design was employed, using purposive sampling to enlist a diverse cohort of participants from varied socioeconomic backgrounds. The methodology comprised semi-structured interviews and focus groups to gather detailed insights into the participants' experiences and views on micronutrient access. The analysis framework was based on the Social Ecological Model (SEM), enabling an in-depth examination of individual, interpersonal, community, and societal influences. With 30 participants, aged 20-70, representing a range of unique characteristics such as differing health conditions, cultural backgrounds, and economic statuses, the study uncovered five key themes: Individual-Level Factors, Interpersonal Relationships, Community Environment, Societal Factors, and Intersectionality. These themes illustrate how personal dietary habits, social networks, community resources, and broader socioeconomic policies converge to shape micronutrient access, emphasizing the complex interplay of overlapping social identities and structural barriers. The findings highlight the need for holistic nutrition interventions that account for the extensive spectrum of socioeconomic determinants. This study not only enriches the theoretical underpinnings of the SEM but also provides actionable insights for crafting targeted strategies to enhance micronutrient access and ameliorate dietary inequities. It advocates for comprehensive public health initiatives attuned to the nuanced needs and hurdles faced by diverse demographic sectors.

Spatial and temporal divergence and driving mechanisms of carbon sinks in terrestrial ecosystems in the middle reaches of the Yangtze River urban agglomerations during 2008–2020

Urban cluster carbon sinks are key parts of the terrestrial carbon cycle, and play an important role in global climate change. Based on the inversion results of net ecosystem productivity (NEP) in Middle Reaches of the Yangtze River Urban Agglomeration (MRYRUA), this study considered the influence of both natural environmental and socioeconomic factors on NEP, and investigated the driving mechanism of carbon sink emphasizing spatial and temporal heterogeneity by the geographically and temporally weighted regression model (GTWR). Results demonstrated that (1) During 2008–2020, the annual average NEP was positive in MRYRUA, and the carbon sink effect of terrestrial ecosystem increased. (2) In MRYRUA, Precipitation and DEM were positively correlated with carbon sinks, opposite for temperature, percentage of water areas and population density. (3) During the study period, the influence of natural environmental factors, such as temperature and precipitation on NEP grew gradually weaker, whereas that of socioeconomic factors increased. The influence of urbanization rate, night lights index and factors of industrial structure changed from negative to positive, while percentage of built-up area had an increasing negative effect on NEP. Based on the conclusions above, this study proposed differentiated policy implications, including improving vegetation hydrothermal environment, controlling urban expansion and accelerating industrial transformation. It would provide empirical inspiration for attaining peak carbon, carbon neutrality, and sustainable development goals.

Mineral resource management for a sustainable future: Unraveling the role of energy tax in driving green technologies and environmental quality

Effective mineral resource management balances economic growth with environmental sustainability and ensures long-term resource availability. The effectiveness of energy taxes in achieving carbon reduction has been a subject of considerable debate in sustainable development. Environmental taxation (ERT) is expected to promote decreasing carbon emissions by incentivizing the development of green technical advancements, which are crucial for achieving environmental sustainability. This research expands the current discourse on sustainable theory, specifically examining the influence of green energy, energy taxes, and socioeconomic factors on Chile's greenhouse gas (GHG) emissions. This analysis is based on quarterly data from 1994 to 2021. The nonlinearity test findings were supported using nonlinear approaches, such as quantile-on-quantile regression (QQR), nonparametric quantile causality analysis, and time-varying nonparametric causality evaluation. The QQR study findings indicate that the combination of green technology, green energy, energy taxes, and socioeconomic factors leads to decreased greenhouse gas (GHG) emissions in Chile, as shown across most quantiles. Furthermore, the dynamic nonparametric causality analysis results revealed substantial causative connections between green technology, green energy, energy taxes, and socioeconomic situations at different time intervals and levels of measurement. These findings serve as the basis for initiating policies.

Socioeconomic Disparities in Pediatric Traumatic Brain Injury Transfer Patterns: An Analysis of Area Deprivation Index and Clinical Outcomes

Traumatic brain injury (TBI) poses a significant health burden, particularly among pediatric populations, leading to long-term cognitive, physical, and psychosocial impairments. Timely transfer to specialized trauma centers is crucial for optimal management, yet the influence of socioeconomic factors, such as the Area Deprivation Index (ADI), on transfer patterns remains understudied. A retrospective study was conducted on pediatric TBI patients presenting to a Level I Pediatric Trauma Center between January 2012 and July 2023. Transfer status, distance, mode of transport, and clinical outcomes were analyzed in relation to ADI. Statistical analyses were performed using Student t-test and analysis of variance. Of 359 patients, 53.5% were transferred from outside hospitals, with higher ADI scores observed in transfer patients (P<0.01). Air transport was associated with greater distances traveled and higher ADI compared to ground ambulance (P<0.01). Despite similarities in injury severity, intensive care unit admission rates differed between transfer modes, with no significant impact on mortality. High ADI patients were more likely to be transferred, suggesting disparities in access to specialized care. Differences in transfer modes highlight the influence of socioeconomic factors on logistical aspects. While transfer did not independently impact outcomes, disparities in intensive care unit admission rates were observed, possibly influenced by injury severity. Integrating socioeconomic data into clinical decision-making processes can inform targeted interventions to optimize care delivery and improve outcomes for all pediatric TBI patients. Prospective, multicenter studies are warranted to further elucidate these relationships.

Demographics and socioeconomic factors of adenocarcinoma with apocrine metaplasia.

e12588 Background: Adenocarcinoma with apocrine metaplasia (AAM) is an invasive form of carcinoma distinguishable by the conversion of malignant glandular cells to apocrine sweat cells with abundant granular eosinophilia. Although AAM has a favorable prognosis, early treatment, including surgical intervention or radiation therapy, is still required to decrease metastasis or resurgence. Due to the rarity of this disease, the impact of demographic factors has not yet been explored and could be essential to understand its epidemiology. Demographic trends of patients were analyzed within the National Cancer Database (NCDB). Methods: Within this retrospective cohort analysis, 155 patients were identified from the 2004–2020 NCDB with a confirmed AAM diagnosis using code 8573 from the International Classification of Diseases for Oncology (ICD-8573-3). Their demographic factors including sex, age, race, Hispanic status, Charleson-Deyo score, distance to facility, educational attainment, and household income were analyzed using incidence trends and descriptive statistics via regression analysis. Results: The average age at diagnosis was 62.7 years (SD = 14.3, range = 18 - 90 years) with a 58% ten-year survival rate. The incidence steadily decreased from 2004–2020 (R2 = 0.3051). The majority of patients (85%) had no comorbidities (Charleson-Deyo = 0). Surgical treatment (73%) as a primary procedure was common and was combined with chemotherapy (57%) or radiation therapy (38%). The primary sites included the upper-outer quadrant (28%) and overlapping lesions of the breast (25%). The average tumor size at surgery was 30.7 mm (SD = 17.9 mm, range = 1.00–64.0 mm). The majority of patients were female (96%), White (72%), and non-Hispanic (88%). Patients tended to have household income greater than $57,857 (55%) and hailed from a metropolitan area with a population greater than 1 million (55%). The Western Central (53%) and Atlantic (24%) regions of the USA comprised most diagnoses. Patients traveled an average of 81.5 mi (SD = 184, range = 0.20–1110 mi) to receive care from an academic or research program (61%) or a comprehensive community cancer program (23%). Conclusions: The findings of this research support previous studies demonstrating that most patients tend to be over 60 years old and White. We reported an average tumor size of 30.7 mm, usually found in the upper-outer quadrant or overlapping regions in the breast. Patients typically underwent chemotherapy after surgical treatment at an academic hospital. Most patients lived in densely populated areas within the Western Central and Atlantic regions, which may suggest an ease of access to treatment. This is the first NCDB analysis of AAM, and thus fills an important gap in cancer research. Future work should identify the influence of demographic and socioeconomic factors on the diagnostic factors, cancer prognosis, treatment regimen, and overall survival rates of patients.

Periosteal osteosarcoma: A study of demographic and socioeconomic factors.

e23506 Background: Periosteal Osteosarcoma (PO) is a rare primary malignant bone cancer that typically affects the tibia or femur of young adults in their second and third decades of life. This soft-tissue mass causes extrinsic erosion of thickened underlying diaphyseal cortex and perpendicular periosteal reaction extending into soft-tissue components. Despite the rarity of PO, 29% of diagnosed patients do not survive past 10 years following treatment. Further investigation into the diagnostic trends of PO may produce valuable information about its epidemiology. The National Cancer Database (NCDB) was analyzed to identify the demographic factors of patients diagnosed with PO. Methods: A retrospective cohort analysis that utilized data from the 2004–2020 NCDB included 138 patients with a histologically-confirmed diagnosis of PO (ICD-9193-3). Demographic factors (age, sex, race, Hispanic status, educational attainment, insurance status, facility type, distance from facility, and Charlson/Deyo score were analyzed by descriptive statistics, and incidence trends were interpreted via regression analysis. Results: A total of 138 individuals had a confirmed diagnosis of PO between the years 2004-2020 with a relatively constant rate of diagnosis each year (R2 = 0.1749). The average age of diagnosis was 29.7 (SD = 17.5, range = 6-86 years). Males and females were affected at rates of 58% and 42%, respectively. The majority of patients diagnosed with PO identified as White (73%) and non-Spanish/non-Hispanic (86%). The primary sites of diagnosis were the long bones of the lower limb (77%), with an average tumor size of 94.4 mm (SD = 54.2). Most patients (73%) utilized surgical treatment options such as radical excision or resection of the lesion with limb salvage. A higher percentage of patients were privately insured (62%), lived in a metropolitan area (75%), and were treated at an academic/research program (59%). Many individuals (91%) had no concurrent comorbidities (Charlson-Deyo comorbidity score = 0). Following treatment, the survival rates of patients were 91% at 2 years, 78% at 5 years, and 71% at 10 years. Conclusions: To our knowledge, this is the first NCDB analysis concentrating on PO, addressing a substantial gap in our understanding. In congruence with earlier descriptions of PO in case reports, a majority of patients are White and of non-Spanish/non-Hispanic origin and the primary site of diagnosis presents on the lower limbs. This is the first instance in the literature where the socioeconomic factors of PO patients have been clarified: PO patients are more likely to live in densely populated metropolitan areas, receive treatment in academic programs, and have private insurance. Further research is needed to elucidate the influence of demographic and socioeconomic factors on the diagnosis, treatment approaches, and survival outcomes of individuals with PO.

Epidemiological trends and socioeconomic factors in malignant peripheral nerve sheath tumors with rhabdomyoblastic differentiation: A National Cancer Database study.

e23562 Background: Malignant peripheral nerve sheath tumor with rhabdomyoblastic differentiation, also called a malignant triton tumor (MTT) is both a rare and aggressive form of cancer with both the features of peripheral nerve sheath tumors as well as rhabdomyoblasts with high recurrence rates. There is a higher risk of patients with neurofibromatosis type 1 (NF1) developing MTT. Radiation can be used to excise higher grade large MTT, however, chemotherapy still has no consensus on efficacy. Despite the rarity of MTT with rhabdomyoblastic differentiation, increased efforts to understand epidemiological trends could increase overall understanding of the malignancy. Methods: We extracted data from 50 patients diagnosed with MTT(ICD-9561-3) using the 2004-2020 National Cancer Database (NCDB) to perform a retrospective cohort analysis. We focused on various demographic factors including age, sex, race, Hispanic status, income status, educational status, insurance status, facility type and location, distance from facility, and Charleson-Deyo score using descriptive statistics. Regression analysis was used to identify incidence trends. Results: In our study of 50 patients diagnosed with MTT, a majority of the patients were male (62%), identified as White, and were of non-Spanish/non-Hispanic (90%) ethnicity. The average age at diagnosis was 49 years (SD = 20, range = 3-90) most and patients were treated in academic/research facilities (32%) or integrated network cancer programs (18%). Most patients (48%) had private insurance, with a significant number relying on government-funded programs (44%). The majority of patients (88%) underwent surgery as their primary treatment, with 30% having no residual tumor post-surgery. Additional treatments included radiation therapy (38%), chemotherapy (34%) and the most frequent primary site was the retroperitoneum (30%).The average survival time post-treatment was 35 months, with a survival rate of 43% at 2 years, 23% at 5 years, and a 15% at 10 years. Patients qualified for the top quartile of median housing income( $74,063 ≈). Conclusions: This study is the first analysis of patients with MTT, using the NCDB. It fills a gap in our understanding of this rare and aggressive disease. The majority of MTT patients were male, Caucasian, with an average age at diagnosis of 49 years, which supports previous case report descriptions. In addition, this study reveals the socio-economic factors associated with these patients who mostly earned a median income of $74,063 or more, were insured primarily by private insurance or managed programs (48%), and were treated predominantly in academic or research institutions (32%). It is necessary to continue research to further understand the influence of demographic and socio-economic factors on the diagnosis, treatments, and overall survival of patients with MTT.

An Examination of Property Crime in Light of Left Realism's Theoretical Capacity

This article reviews property crime through the concept of left realism by focusing on the basic principles of left realists. This paper explores the influence of socio-economic and demographic factors on property crime within the framework of left realist theory, highlighting the complex dynamics between these elements and crime rates in England and Wales. It critiques the reliability of crime statistics, suggesting that they might exaggerate or fail to capture the true state of property crime and its relationship with unemployment. The analysis also considers unemployment as a source of relative deprivation, potentially exacerbating property crime and victimization in the absence of adequate opportunities and support systems. However, the paper acknowledges that other factors, such as effective policing, criminal justice measures, and social provisions, may also play significant roles. It further examines how demographic factors, particularly in socially marginalized and economically deprived areas, can contribute to higher rates of property crime and increase the number of victims. Left realism provides valuable insights into the underlying causes of property crime and its victimization, advocating for a comprehensive understanding that goes beyond conventional analyses to address the root conditions of environmental deprivation and their impact on vulnerable communities even though left realism has weaknesses. Keywords: Left realism, property crime, unemployment

Impact of Health and Non-health Inputs on Health Outcomes: A Comparative Study of South Asia, Southeast Asia, BRICS and ASEAN Regions

This study assessed the impact of health and non-health factors on crude death rate, infant mortality rate and life expectancy at birth across 21 developing and emerging countries. Utilising panel regression and Z-score methods, it identified two country clusters based on the relationship between health input augmenting factors and health outcomes. Findings revealed variations in health outcomes among emerging countries like the Russian Federation, Brazil, China, and India compared to some developing countries. The study emphasised the significant role of health input augmenting factors and noted varied influences of socio-economic, environmental and health factors on health outcomes. Additionally, a notably stronger elasticity of health outcomes was observed concerning non-health determinants. JEL: I12; I13; I15

Investigating the spatial distribution mechanisms of traditional villages from the human geography region: A case study of Jiangnan, China

Investigating the spatial distribution and adaptation mechanisms of traditional villages is crucial for their development and human well-being. However, relatively few studies have focused on the interaction and comprehensive influence of historical-cultural, natural-geographic and socio-economic factors on traditional villages in Jiangnan region. Employing geographically weighted regression (GWR) and Geodetector methods, we developed an integrated framework. We found that (1) Traditional villages exhibit a “one-core, multiple-periphery” clustering pattern (nearest neighbor index <1), with significant high-high and low-low local spatial clustering characteristics and preferring gentle and relatively Complex terrains to adapt to the need to avoid warfare. (2) Urbanization negatively affects traditional village density patterns, while natural-geographic complexity has a positive impact. Their interaction nonlinearly amplifies this effect, with the urbanization-GDP interplay being particularly significant (q = 0.765). (3) Factors exhibit significant spatial heterogeneity in their impact on traditional village density, with the explanatory power increasing by 20% (GWR/R2 = 0.65). The urbanization rate and slope are the most critical socio-economic and natural-geographic factors, respectively (local regression coefficient: 23.31 and 11.58). Our study transcends administrative boundaries, revealing how historical-cultural, natural-geographical, and socio-economic factors collectively influence the distribution of traditional villages. This not only provides a new theoretical foundation for the conservation and development of traditional villages but also provides a new methodology basis for research on traditional villages.

Understanding the evolution of cities through urban stocks: A comparative analysis of Andean and coastal urban areas in Peru

AbstractThe evolution of cities follows distinct patterns that connect to the cultural and socioeconomic aspects of their populations and can be understood by studying their urban stocks. This paper examines the evolution of construction materials stocks (MS) in the building sector in five urban areas in Peru. The study employed a bottom‐up methodology and focused on the city of Abancay in the Peruvian Andes, comparing it to the coastal cities of Chiclayo, Tacna, and San Isidro, as well as Lince. Additionally, regression models were employed to examine the influence of socioeconomic factors associated with urban stock. The research highlights a transition from residential building stock to distinct patterns of socioeconomic development, with urban population and economic growth emerging as pivotal drivers of material stock variation. Notably, large coastal cities like Chiclayo, Tacna, San Isidro, and Lince exhibit significantly higher concrete MS per capita, albeit with varying growth rates. In contrast, Abancay, with lower income levels, displays a higher per capita level of adobe MS, reflecting its historical connection to Peru's heartland. The correlation of urban stock components with the human development index (HDI) emphasizes the latter's significance in understanding the trends of the stocks of the different construction materials that constitute a city. By examining MS in various locations, unique Peruvian traits are unveiled, offering insights for urban development in the Global South. These findings provide valuable guidance for aligning urban stock growth and related environmental burdens with socioeconomic development, fostering sustainability, and promoting rational planning for economic growth.

Factors Associated with Public Water Supply Unreliability

Public water supply unreliability is a problem that causes human hardships and remains common in the United States. In this paper, we attempt to examine the factors associated with public water supply unreliability. We measure public water service unreliability by the issuance of boil water notices (BWNs). By using a Negative Binomial regression model and data from West Virginia community water systems in 2020, we find that water systems that purchase their water from other water systems, have more educated and experienced operators, and serve high-income areas and a higher percentage of Native residents are expected to issue more BWNs. On the other hand, water systems that are small and serve a higher percentage of rural, educated, employed residents are expected to issue fewer BWNs. The findings emphasize the need to move beyond simplistic assumptions about water system reliability and consider the combined influence of technical, socio-economic, and demographic factors.

Assessment of Living Room Furniture Arrangement on Wellbeing Case Study Jeddah Residents, Saudi Arabia

This review explores the impact of living room furniture arrangement on the wellbeing of residents in Jeddah, integrating cultural, environmental, and psychological perspectives. It synthesizes findings from various qualitative studies, highlighting the significant role of cultural and traditional elements in living space design. The review emphasizes the importance of biophilic design, adaptability, and flexibility in modern living spaces, particularly in the context of post-COVID-19 lifestyle changes. It also examines the influence of urban planning and socio-economic factors on residential space design and its impact on resident wellbeing. Key conclusions suggest that living room arrangements in Jeddah should resonate with cultural values, incorporate biophilic elements, and be adaptable to multifunctional use. Future research directions include further exploration of cultural aspects in living space design, innovations in biophilic integration, adaptive design solutions, and the establishment of wellbeing metrics for evidence-based design. The review acknowledges limitations in scope, potential biases, and the dynamic nature of urban living, underscoring the need for ongoing research.

Influence of medical-social and socio-economic factors on infant mortality rate in the Republic of Ingushetia

BACKGROUND: The infant mortality rate, as one of the indicators of the health and quality of life of the population, is an important factor that determines the country’s healthcare priorities. Despite the steadily decreasing infant mortality rates in the Russian Federation, the value of this indicator varies by region; thus, studying the factors influencing its value is relevant. If the leading medical, social, and socioeconomic factors that influence the level of infant mortality could be determined using data from a representative region (Republic of Ingushetia), the main directions for organizing measures aimed at reducing mortality among children in the first year of life will be identified. AIM: To determine the main medical, social and socio-economic factors that influence the infant mortality rate in the Republic of Ingushetia. MATERIALS AND METHODS: An observational single-center retrospective study was performed to examine the influence of medical, social, and socioeconomic factors on the mortality rate of children aged 1 year in the Republic of Ingushetia. The obtained data were compared with similar indicators for the Russian Federation as a whole and the North Caucasus Federal District. RESULTS: During the study period (2011–2019), significant changes were observed in infant mortality rates in the Republic of Ingushetia: infant mortality has decreased because of the age components, leading to the normal ratio of neonatal and post neonatal mortality. Rates of infant mortality from certain conditions arising in the perinatal period, congenital anomalies, and nervous system and circulatory system diseases have significantly decreased. The proportion of women admitted under the supervision of antenatal clinics in the early pregnancy (up to 12 weeks) has increased, the incidence of morbidity among pregnant women has decreased, and the proportion of normal births has been increasing. Although many medical organizations have employed a sufficient number of medical personnel, the coverage for biochemical screening has decreased, detection of malformations and biochemical abnormalities during prenatal diagnostics was low, medical personnel have low qualifications, and the shortage of obstetric and pediatric beds and pathology beds for newborns and premature infants was significant. A statistically significant dependence of the frequency of deaths of children aged 1 year on socioeconomic indicators−unemployment level, monetary income of the population, and housing conditions−was revealed. CONCLUSION: The main medical, social, and socioeconomic factors that influence infant mortality were analyzed using data from the Republic of Ingushetia. Positive and negative trends in the current state of the healthcare system of this republic have been identified.

Relationship between Maternal Socioeconomic Factors and Preterm Birth in Latvia.

Background and Objectives: Worldwide, preterm birth (PTB) stands as the primary cause of mortality among children under 5 years old. Socioeconomic factors significantly impact pregnancy outcomes, influencing both maternal well-being and newborn health. Understanding and addressing these socioeconomic factors is essential for developing effective public health interventions and policies aimed at improving pregnancy outcomes. This study aims to analyse the relationship between socioeconomic factors (education level, marital status, place of residence and nationality) and PTB in Latvia, considering mother's health habits, health status, and pregnancy process. Materials and Methods: A cross-sectional study was conducted using data from the Medical Birth Register (MBR) of Latvia about women with singleton pregnancies in 2022 (n = 15,431). Data analysis, involving crosstabs, chi-square tests, and multivariable binary logistic regression, was performed. Adjusted Odds ratios (aOR) with 95% confidence intervals (CI) were estimated. Results: Lower maternal education was statistically significantly associated with increased odds of PTB. Mothers with education levels below secondary education had over two times higher odds of PTB (aOR = 2.07, p < 0.001, CI 1.58-2.70) and those with secondary or vocational secondary education had one and a half times higher odds (aOR = 1.58, p < 0.001, CI 1.33-1.87) after adjusting for other risk factors. Study results also showed the cumulative effect of socioeconomic risk factors on PTB. Additionally, mothers facing two or three socioeconomic risk factors in Latvia exhibited one and a half times higher odds of PTB (aOR = 1.59, p = 0.021). Conclusions: The study highlights the cumulative impact of socioeconomic risk factors on PTB, with higher maternal education demonstrating the highest protective effect against it. This underscores the importance of education in promoting optimal foetal development. Since the influence of socioeconomic factors on PTB is not a widely studied issue in Latvia, further research is needed to improve understanding of this complex topic.

SOCIOECONOMIC FACTORS AND HEALTHCARE ACCESS: THEIR ROLE IN THE MANAGEMENT AND OUTCOMES OF DIABETIC FOOT ULCERS

Objective: Diabetic foot ulcers (DFUs) are a significant complication of diabetes mellitus, affecting millions globally and presenting considerable challenges to healthcare systems. While clinical aspects of DFUs are well-documented, socioeconomic factors and healthcare access play crucial roles in their management and outcomes. This study investigates how socioeconomic status (SES), healthcare accessibility, and patient education influence DFU prevention, treatment, and prognosis. Methods: A prospective, cross-sectional observational study was conducted over 13 mo at the Department of General Surgery, Command Hospital (Western Command), Chandimandir. Fifty patients with DFUs were enrolled based on specific inclusion and exclusion criteria. Data were collected on demographic details, lifestyle habits, comorbidities, and specifics of diabetes and DFU. Ulcer characteristics, wound cultures, and outcomes were analyzed using SPSS version 21.0. Results: The study population had a mean age of 60.10 y, with a predominance of males (78%). Smoking and obesity emerged as significant risk factors, with smoking more prevalent among males and obesity more common in females. The distribution of ulcer locations and the microbial profile, dominated by Staphylococcus aureus, underline the complexity of DFU management. These findings highlight the influence of socioeconomic factors and healthcare access on DFU outcomes. Conclusion: Effective DFU management requires a holistic approach that extends beyond clinical treatment to address socioeconomic factors and healthcare access. Tailored interventions that consider these broader determinants of health are essential for improving DFU outcomes and patient quality of life. Addressing healthcare disparities can significantly reduce the burden of DFUs, creating a more equitable and effective framework for diabetes care.

Artificial intelligence and socioeconomic forces: transforming the landscape of religion

This research examines the influences of artificial intelligence and socioeconomic factors on religious freedom across 20 countries from 2000 to 2022. Employing a detailed model that integrates both specific effects related to individual countries and annual changes, our study offers an extensive empirical analysis of how artificial intelligence relates to religious freedom. The results indicate a notable negative impact of artificial intelligence on religious freedom. Furthermore, the study sheds light on key factors that affect religious freedom, uncovering a positive correlation with elements such as economic growth, political stability, and education levels. However, it was also observed that increased digitalization correlates negatively with religious freedom. These conclusions are reinforced by findings from the system-generalized method of moment estimation, which strongly support our initial results. Consequently, this study establishes that the relationship between artificial intelligence and religious freedom is intricate and shaped by a variety of socioeconomic factors. Our findings emphasize the necessity for thoughtful consideration of the broader societal impacts of artificial intelligence, especially regarding essential human rights like religious freedom.

Evaluating public sentiment towards transport policies: A causal analysis of the motorbike ban in Hanoi

Controversial transport policies, such as the proposed ban on non-electric motorbikes in Hanoi, Vietnam, often challenge the status quo and spur resistance among road users. This paper aims to unpack the causal implications of the motorbike ban, with an emphasis on elucidating potential transformations in urban mobility patterns and public sentiment in Hanoi. The research methodology is rooted in an mixed-methods approach. It begins by applying Spatial Propensity Score Matching (SPSM) to a bespoke transport survey to mitigate geographical confounding in the identification of the ban’s causal effects on societal attitudes and behaviours. Subsequently, it applies Ordinal Logistic Regression to quantify the causal influences of diverse socio-economic and demographic factors on public opinion towards the motorbike ban. Together, these methods yield a robust analysis of the policy’s prospective impacts.Through this framework, the study provides insights into the key factors influencing individual’s opinion on controversial transport policies, such as the motorbike ban in Hanoi. Specifically, the approach reveals 4 key geographical insights into socioeconomic status, public transport perception, motorbike dependency, and automobile affinity among people in Hanoi.

Influence of Socioeconomic Factors on Access to Digital Resources for Education

Digital resources in education encompass a wide array of technological tools, online platforms, and digital content utilized to facilitate and enhance the learning process. They serve as invaluable supplements to traditional teaching methods, offering dynamic and diverse ways to impart knowledge, encourage engagement, and foster skill development among learners. This systematic review critically examines the influence of socioeconomic factors on access to digital resources for education by analyzing studies published between 2017 and 2024. The inclusion criteria prioritized empirical studies in English-language peer-reviewed journals or reputable conference proceedings, utilizing various research designs. The review involved a thorough search across databases like JSTOR, APA PsycNet, Wiley Online Library, ERIC, and Google Scholar. The study's analysis identified key themes, highlighting the profound influence of socioeconomic factors on technology access, engagement, and academic outcomes. The recurring theme of the digital divide emphasized disparities in device ownership, internet connectivity, and effective technology utilization. The nuanced exploration of parenting approaches, gender dynamics, and educational contexts added depth to understanding these influences. This study found the necessity for a holistic approach in educational planning, considering socioeconomic, cultural, and educational factors to effectively address challenges and disparities, ultimately fostering equitable access to digital resources in education.

Changes in Body Weight and Risk Factors for Overweight and Obesity in 5-6-Year-Old Children Attending School in Geneva.

Background: The prevalence of obesity and overweight in children is increasing in industrialized countries. Monitoring the evolution of these phenomena is essential for understanding prevention and health promotion programs. This study aims to present the analysis of anthropometric data collected by school nurses from the School Health Service of Geneva (Service de santé de l'enfance et de la jeunesse) for children aged 5 to 6 years during the 2021-2022 school year, as well as describe the trends in overweight and obesity from 2003-2004 to 2021-2022. Risk factors were also assessed in the 2021-2022 sample. Methods: This study included a random sample of 958 (479 girls and 479 boys) primary school pupils aged 5 to 6 years in Geneva. Data on weight, height and socioeconomic status were collected. BMI was analyzed using the Cole standard. A multivariate analysis was conducted to assess the influence of socioeconomic factors on overweight and obesity. We compared these results with BMI trends in students of the same age since 2003. Results: In 2021-2022, overall prevalence of overweight was 12.73%, and obesity was 5.64%. Girls had higher rates of overweight (14.20%) and obesity (6.68%) compared to boys (11.27% and 4.59%, respectively) (p < 0.0001). Overweight in boys significantly increased since the 2013-2014 and 2019-2020 measurements (p = 0.003). The trend for girls was similar but not statistically significant. Obesity rates have not significantly increased since 2019-2020 in both genders, but there is a significantly increasing trend for girls since 2013-2014 p = 0.045). Socioeconomic factors, particularly the socioeconomic class of parents, played a predictive role in overweight and obesity. Conclusions: The School Health Service of Geneva and the Directorate General of Health have a crucial role in monitoring and preventing childhood obesity. The prevalence of overweight and obesity has remained high since 2010, justifying continuous efforts for prevention. A significant increase in prevalence has been observed since 2020, particularly among overweight boys, and could be related to COVID-19 confinement measures.