Socioeconomic Indicators Research Articles

Economic Development of the Major Cities in the Context of Demographic Challenges

In recent years, Russia has faced serious global challenges. Particular attention is required for demographic challenges, which are caused by natural population decline, ambiguous migration processes, and their exacerbation due to the spread of the coronavirus infection and subsequently the aggravation of the foreign policy situation. The largest Russian cities are centers of economic growth with significant potential for solving regional livelihood problems. An important indicator of the state and development of a city as a socio-economic system is the change in population size. The dynamics of demographic and other socio-economic indicators deserve detailed analysis and study. The results obtained must be considered when making strategic decisions and developing adaptation mechanisms. In the past five years, a natural population decline has prevailed in the studied largest municipalities, which is only partially offset by migration growth. In most cities with a population of over one million, there is a correlation between the dynamics of population growth (both natural and migration), the average wage level, and the quality of the urban environment. In cities with migration outflow, measures are needed to improve these parameters. Since all cities have developed industries, including due to natural and historical factors, systematic monitoring of the relevant indicators and a detailed analysis of the reasons for negative trends, including demographic ones, are important for ensuring balanced economic development. To ensure the balance of supply and demand in the labor market in terms of qualification and professional requirements and expectations, the implementation of regional programs and projects with the participation of government and business is proposed. In the context of the economic development of the largest cities and adaptation to global challenges, it is proposed that government authorities, local governments, the scientific community, and businesses identify new promising specializations for cities, including the need to enhance import substitution and implement high-tech, science-intensive industries.

Revealing the burden of chronic kidney disease in Mexican women, 1990–2021

BackgroundChronic kidney disease (CKD) has become a concerning public health issue, affecting people regardless of their sex, age, or socioeconomic status. We aimed to analyze the burden of female CKD in Mexico between 1990 and 2021, expressed in terms of years lived with disability (YLDs), mortality, years of life lost (YLLs), and disability-adjusted life-years (DALYs). Additionally, we evaluated the relationship between DALYs and the Socio-Demographic Index (SDI) and the Healthcare Access and Quality Index (HAQI).MethodsSecondary data analysis from the Global Burden of Disease, Injuries, and Risk Factors Study (GBD) 2021. We used mortality, years of life lost due to premature mortality (YLLs), years lived with disability (YLDs), and disability-adjusted life years (DALYs to analyze CKD in women between 1990 and 2021. We used a log-linear segmented regression model to analyze trends in female CKD DALY rates over time. The information was disaggregated by age groups and sub-causes nationally and across the 32 states. Age-standardized rates (ASR) were used.ResultsBetween 1990 and 2021, the ASR mortality and ASR-DALYs due to CKD increased significantly at the national level. The DALYs are almost entirely explained by YLLs, indicating that a large proportion of women with CKD in Mexico die prematurely. Disparities in the burden of this disease were observed across different states and age groups within the country. In 2021, the highest ASR-DALY rate was recorded in Tabasco (1,972.0), while the lowest was in Sinaloa (865.1). The SDI and HAQI were associated with the CKD DALYs in most states.ConclusionsMexican women experience a significant burden due to CKD, reflected in premature deaths and years lived with disability, while disparities between states need to be addressed to reduce inequities. Over the past 32 years, improvements in socioeconomic indicators and the quality and access to healthcare have not contributed to reducing the DALYs rate due to CKD, indicating a need to redirect policies to impact women’s well-being and health positively.

Multi-scale analysis of urban forests and socioeconomic patterns in a desert city, Phoenix, Arizona

Understanding the relationship between various socioeconomic factors and urban forest structure is essential for directing resources to ensure equitable distribution of green space. Through a case study of a desert city, i.e., Phoenix, AZ, this study provides a novel application of Multiscale Geographically Weighted Regression (MGWR) in which we explore the spatially variable relationships between a wide array of socioeconomic indicators and urban forest attributes. Through the computation of various scales of influence for different explanatory variables, MGWR enhances our analysis’s precision and stresses the association between socioeconomic status and urban forest structure at local and regional scales. Our results indicate that although there has been a pattern of green inequality where minority and low-income communities have less access to urban forests, education levels were mostly insignificant based on the MGWR results. In some instances, higher incomes are negatively correlated with tree canopy coverage. Additionally, the stem density model outperformed the canopy coverage model in terms of prediction accuracy. This research adds a new dimension to urban forestry literature and emphasizes the value of customized urban planning strategies and the environmental justice implications of urban forestry, particularly in arid environments.

Trends in suicide mortality rates in the Republic of Cyprus between 2004 and 2020: changes in age, gender and suicide method.

The Republic of Cyprus has recorded the greatest increase in suicide mortality among Eastern Mediterranean countries, with an average annual increase of 5.1% in 2000-2019. To investigate trends in suicide mortality rates between 2004 and 2020 in the Republic of Cyprus, with a focus on age, gender and suicide methods. Suicide deaths (ICD-10 taxonomy, including 'undetermined' code) and population denominators were obtained from the National Mortality Registry and Statistical Office, respectively. Directly standardised (European Standard) mortality rates were calculated for four gender and age groups. Annual change was estimated using Poisson regression models with interaction terms to assess differential trends over different time periods. There were 560 suicide deaths; these were four times more frequent in men, and approximately 80% were classified as 'violent' for both genders. The male suicide rate doubled from 4-5 to 9-10 per 100 000, mostly before 2012, representing a 9% annual change (rate ratio = 1.09, 95% CI 1.03, 1.15; P = 0.002). From 2013, the trend reversed (effect modification P < 0.001) with a 4% annual decrease (95% CI -9%, 1%). Declines were not uniform across all age groups; rates in males aged 45-64 years continued to rise, surpassing the previously high rate in males aged 25-44 years. Rates in females declined from 4-5 per 100 000 to 2-3 over the study period. Overall, the male-to-female suicide rate ratio was 5.33 (95% CI 3.46, 8.19) in 2017-2020, compared with 2.73 (1.88, 3.95) in 2004-2008. Although suicide rates remain relatively low, the gender differential has widened in the Republic of Cyprus. Further analysis of trends in relation to unemployment and other socioeconomic indicators is warranted.

Global Trends and Inequalities of Liver Complications Related to Metabolic Dysfunction-Associated Steatotic Liver Disease: An Analysis From 1990 to 2021.

Metabolic dysfunction-associated steatotic liver disease is a significant driver of the increasing global burden of chronic liver disease. This study aimed to describe the temporal trends and inequalities of liver complications related to metabolic dysfunction-associated steatotic liver disease (LC-MASLD) by geographical region, age and sex during 1990-2021. Global Burden of Diseases Study 2021 data were analysed to assess LC-MASLD incidence, prevalence, mortality and disability-adjusted life years (DALYs). Temporal trends during 1990-2021 were measured by 'estimated annual percentage change' (EAPC). Inequalities of LC-MASLD burden across countries were evaluated by the slope index of inequality (SII) and the relative concentration index (RCI). During 1990-2021, LC-MASLD rose annually by 0.73% in incidence and prevalence, 0.19% in mortality and 0.16% in DALYs. In 2021, the Middle East and North Africa had the highest incidence and prevalence and Andean and Central Latin America had the highest mortality and DALY rates. While LC-MASLD incidence was earliest in the 15-19 age group, both prevalence and DALY rates peaked at 75-79 years for both sexes. Inequalities in mortality and DALYs by countries' socioeconomic development index increased during 1990-2021, demonstrated by a decline in SII from -0.09 to -0.56 per 100 000 for mortality and from 1.41 to -7.74 per 100 000 for DALYs. RCI demonstrated similar findings. The LC-MASLD burden is increasing globally, especially in economically disadvantaged countries, with widening disease inequalities during 1990-2021. Effective prevention and subregional interventions are crucial, with a specific focus on resource optimisation for disadvantaged populations.

A GIS-MCDA approach to map environmental suitability of Posidonia oceanica meadows as blue nature-based solutions in the Mediterranean eco-region

The growing environmental risks induced by interacting climate and human-induced pressures threaten the survival and growth of marine coastal ecosystems (MCEs) and the ecosystem services they provide. Nature-based solutions (NBS), consisting of ecosystem-based approaches, have emerged as vital tools for climate adaptation and mitigation facing biodiversity loss and societal challenges. Identifying suitable environmental conditions for implementing Blue-NBS in marine coastal areas is a key priority to drive robust and cost-effective nature-based adaptation pathways. This study developed a suitability model for Blue-NBS, with a specific focus on Posidonia oceanica meadows in the Mediterranean Sea under a baseline scenario. GIS-based Multiple Criteria Decision Analysis (MCDA) was applied for data integration and prioritization of different environmental variables in geomorphological (e.g., depth), water quality (WQ) (e.g., salinity), and climatic (e.g., thermal stress) sub-groups. Suitability classes and scores for each variable were determined using statistical distributions, ensuring a data-driven approach to defining environmental suitability. Variables' weights were derived from the Analytic Hierarchy Process (AHP) based on expert judgment and then combined with scores to generate suitability maps for managing Blue-NBS on seagrasses. Depth was found to be the most dominant environmental variable, with shallow areas (e.g., Northern Adriatic, Gulf of Gabés) showing higher suitability. The southern part of the Mediterranean (e.g., Egypt) reported relatively low scores for both climate and WQ, while the Northern Adriatic had the lowest WQ scores. This study represents the first attempt to evaluate Blue-NBS suitability for seagrass meadows at the eco-regional scale with geomorphologic, WQ, and climatic variables, providing decision support for the selection and allocation of Blue-NBS in different environmental settings. The resulting environmental suitability maps represent a basis for the integration of socio-economic and governance-related indicators into a more complex, multi-tier approach to support NBS mainstreaming.

One Health Index applied to countries in South America.

The One Health concept has proposed an integrated and unified approach aiming for health balance and enhancement by recognizing the interdependence of human, animal, and environmental health. The COVID-19 pandemic has pushed global One Health initiatives and policy improvement toward preventive measures for future pandemics, particularly of zoonotic origin. Such a scenario may be particularly relevant for South America, which is considered highly vulnerable due to its natural biodiversity superposed to socioeconomic and environmental issues, demanding effective methods and indicators for proper One Health strategies and goals that are aligned with macroregional contexts. Accordingly, the present study aimed to assess the One Health Index (OHI) in South American countries, along with potential interactions with socioeconomic indicators. The results obtained using clustering analysis and permutational multivariate analysis of variance (PERMANOVA) have revealed a positive association between the OHI and the Human Development Index (HDI) but not with gross domestic product (GDP). Although South American countries with political stability, robust investment in health, and progressive policies have shown a higher OHI, better environmental health is not associated with better human and animal health. In addition, although the Amazon biome- spanning 9 of the 12 South American countries-has positively impacted environmental health, this benefit contrasts with the rudimentary local human health systems, highlighting the complexity of One Health within the South American context. The lack of stronger indicators for animal health was also considered an important weak point for a true OHI assessment. Nonetheless, countries with more developed livestock have presented better animal health, which may not reflect an overall animal health indicator, as companion and wildlife animal health indicators were not available. Although lower (within-country) scale analysis such as states and metropolitan areas may better shape internal differences, the study herein has clearly shown One Health inequalities and challenges among South American countries. Equally important, forests and other natural areas in developing countries, particularly the Amazon, should receive incentives to promote sustainable economic growth. This approach would help prevent sacrificing environmental health for the benefit of human and livestock animal health.

Analyzing the Lange–Lerner Hypothesis: is a monopolized banking sector a threat to democracy?

Is a monopolized banking sector a threat to democracy? Increasing bank monopolization and its growing share of the economy have brought renewed interest to this historical concern. Oskar Lange and Abba Lerner held that banking monopolization would undermine democracy through the concentration of political power among banking elites. This led them to exclude the banking sector from their more general support for private ownership of the means of production. We examine whether banking monopolization is associated with concentrated political power and the undermining of democracy using the Lerner Index (based on Lerner’s measure of banking concentration), Polity scores, Varieties of Democracy’s (V-Dem’s) Political Civil Liberty Index, and V-Dem’s Power Distributed by Socioeconomic Position Index, comprising data for 101 countries from 1996 to 2014 in our full specification. We find no relationship between civil liberties and the banking sector in Organisation for Economic Co-operation and Development (OECD) countries but a negative and statistically significant relationship in non-OECD countries. We find no relationship between the Lerner Index and the concentration of power by socioeconomic status. Our results support only one variant of the Lange–Lerner Hypothesis and only among non-OECD countries. We argue that, most likely, this is because long-established democracies are more resilient.

Educational and income inequalities across diseases in Denmark: a register-based cohort study

Educational attainment and income are often, but not always, associated with disease incidence. Existing research typically examines single diseases, resulting in disparate analyses with little comparability. In this study, we aimed to assess educational and income inequalities across diseases in Denmark. This register-based study included all Danish residents aged at least 30 years between Jan 1, 2013, and Dec 31, 2022, who were born after 1920, and with known educational attainment and income. We used a disease-wide approach to assess associations between education and income and the incidence of 751 diagnostic codes determined upon hospital admission. We estimated age-standardised incidence rates and incidence rate ratios (IRRs) using Poisson regression, adjusted for birth cohort and stratified by sex. Participants were followed up until time of diagnosis, death, emigration, or until Dec 31, 2022. 4 541 309 individuals aged 30 years and older were registered as living in Denmark between Jan 1, 2013, and Dec 31, 2022. 121 083 were excluded due to limited or missing information about educational attainment. 4 420 226 individuals were included in the analysis of educational inequalities (2 232 200 [50%] were female and 2 188 026 [50%] were male). 23 708 were excluded due to absence of income information, and 4 396 518 were included in the analysis of income inequalities (2 223 217 (51%) were female and 2 173 301 (49%) were male). Socioeconomic differences in incidence rates were observed across all disease groups; incidence rates of most diseases decreased with higher educational attainment and income. The magnitude of the socioeconomic inequalities varied substantially. Among non-communicable diseases, the strongest positive association with regard to education was observed in chronic obstructive pulmonary disease for female individuals (low education vs high education, IRR 2·7 [95% CI 2·4-3·0]) and schizophrenia for male inividuals (low education vs high education, IRR 4·4 [2·2-8·8]), and the strongest negative association was in melanoma and other skin cancers for females (low education vs high education, IRR 0·7 [0·7-0·8]) and melanoma and skin cancers for males (low education vs high education, 0·7 [0·6-0·8]). With regard to income, for females, the strongest positive association was observed in schizophrenia (quartile 1 [Q1] vs quartile 4 [Q4], IRR 10·1 [6·1-17·2]), whereas the strongest negative association was in melanoma and other skin cancers (Q1 vs Q4, IRR 0·5 [0·5-0·6]). For males, the strongest positive assocation was schizophrenia (Q1 vs Q4, IRR 18·4 [95% CI 8·5-39·9]) and the strongest negative association was also melanoma and other skin cancers (Q1 vs Q4, IRR 0·5 [0·5-0·6]). The most prevalent disease category, other digestive diseases, was also strongly positively associated with education (low education vs high education, IRR 1·6 [95% CI 1·6-1·6] for females; IRR 1·5 [1·4-1·5] for males) and income (Q1 vs Q4, IRR 1·5 [1·5-1·5] for females; IRR 1·3 [1·3-1·4] for males). Our study provides a detailed representation of the association between two socioeconomic indicators and disease incidence. A broad spectrum of diseases, and not only the most prevalent, show socioeconomic disparities. This finding highlights the need for not only policies that address specific diseases, but also universal policies addressing the root causes of socioeconomic disparities and their health consequences. The Novo Nordisk Foundation.

Developing a combined mapping representation of air and noise pollutions

Airparif and Bruitparif, observatories for air and noise pollutions in the Ile-de-France region, have worked together to develop a combined mapping representation of air and noise pollutions. On the one hand, Bruitparif has tested different approaches to propose a noise indicator taking into account the various exposures to road, air and traffic noise, according to the strategic noise maps. On the other hand, Airparif has developed an air quality indicator taking into account the main regulated air pollutants. They have finally put together an original method of mapping representation of the double exposure to noise and air pollutions. Mapping combining air and noise pollutions is an efficient diagnostic tool for municipalities. This makes it possible to identify the areas at stake: those that are preserved from these pollutions and should be protected, and those that are highly exposed and where action must be taken. It offers a wide range of uses, like cross-referencing of air-noise data with the location of establishments receiving vulnerable groups, or making comparison with socio-economic data and health indicators.

Exploring cervical cancer mortality in Brazil: an ecological study on socioeconomic and healthcare factors

ObjectiveTo evaluate the correlation between socioeconomic and healthcare factors and cervical cancer mortality rates, as well as the accessibility to prevention and treatment across Brazilian states and macroregions. The aim...

Different impacts of similar crises? The financial and COVID-19 crisis in border and non-border regions

ABSTRACT The last two decades have seen an increase in the number and intensity of shocks and crises. The financial crisis of 2008/2009 and the COVID-19 crisis of 2020/2021 have led to economic recessions. During the COVID-19 crisis, national borders and the impact of crises in border regions were often the subject of political debate and media coverage. Border-regional resilience has only been discussed in the academic discourse for the last few years. This article uses a diverse set of socio-economic indicators to examine the (border)–regional resilience of German regions in the wake of the financial crisis and the COVID-19 crisis. A distinction is made between border and non-border regions, urban and rural regions, and regions in the old and new German federal states. The results show, first, that the COVID-19 crisis had a stronger socio-economic impact than the financial crisis. Second, border regions tended to be more affected by the financial crisis than non-border regions. Surprisingly, this was not the case for the border-specific COVID-19 crisis. Moreover, the study shows that it is not so much the border location that determines regional resilience, but rather the socio-economic level, the degree of urbanization and the associated embeddedness in global networks.

Environmental, climatic, socio-economic factors and non-pharmacological interventions: A comprehensive four-domain risk assessment of COVID-19 hospitalization and death in Northern Italy

IntroductionUp to now, studies on environmental, climatic, socio-economic factors, and non-pharmacological interventions (NPI) show diverse associations, often contrasting, with COVID-19 spread or severity. Most studies used large-scale, aggregated data, with limited adjustment for individual factors, most of them focused on viral spread than severe outcomes. Moreover, evidence simultaneously evaluating variables belonging to different exposure domains is scarce, and none analysing their collective impact on an individual level. MethodsOur population-based retrospective cohort study aimed to assess the comprehensive role played by exposure variables belonging to four different domains, environmental, climatic, socio-economic, and non-pharmacological interventions (NPI), on individual COVID-19-related risk of hospitalization and death, analysing data from all patients (no. 68472) tested positive to a SARS-CoV-2 swab in Modena Province (Northern Italy) between February 2020 and August 2021.Using adjusted Cox proportional hazard models, we estimated the risk of severe COVID-19 outcomes, investigating dose-response relationships through restricted cubic spline modelling for hazard ratios. ResultsSeveral significant associations emerged: long-term exposure to air pollutants (NO2, PM10, PM2.5) was linked to hospitalization risk in a complex way and showed an increased risk for death; while humidity was inversely associated; temperature showed a U-shaped risk; wind speed showed a linear association with both outcomes. Precipitation increased hospitalization risk but decreased mortality. Socio-economic and NPI indices showed clear linear associations, respectively negative and positive, with both outcomes. ConclusionsOur findings offer insights for evidence-based policy decisions, improving precision healthcare practices, and safeguarding public health in future pandemics. Refinement of pandemic response plans by healthcare authorities could benefit significantly.

The influence of urban green and recreational areas on the price of housing in Zagreb

Urban green and recreational spaces are important for residents and one of the foundations for the functioningof cities. They offer numerous benefits, including the influence on the price of real estate as an economic benefit.In this paper, the influence of green and recreational areas in Zagreb on the price of apartments in residential buildings is analysed using the hedonic pricing model. The data for the study was processed and analysed using a geographic information system. A local hedonic price model was developed. The results show that some of the observed green and recreational areas increase the price of housing due to their proximity, while others decrease it. Some areas have no influence on the price of housing. The influence of the observed areas on housing prices was heterogeneous. Spatial differences were also found in the influence of the observed areas on housing prices. The most attractive factors when choosing a place to live are Jarun and the parks in the city centre. The price of apartments that near the Jarun increases by 41 EUR/m2 if the apartment is 100 m closer to the Jarun. The price of the apartment increases by 91 EUR/m2 the closer the apartment is to the parks in the city centre (per 100 m). Apartments near Jarun and the parks in the city centre are not available for residents with lower socio-economic status. The forest areas, Maksimir Park and the banks of the Sava river are not favoured when choosing a place to live. Neighbourhoods near these areas are available to the lower socioeconomic status population. Bundek raises the price of one part of the apartments and lowers the price of the other. The results of this study can contribute to the study of green gentrification in Zagreb, but further research is needed on socio-economic indicators and other changes in the region.

Integrated coastal vulnerability index for coastal flooding: A case study of the Croatian coast

The combination of accelerated urbanization and tourism-related activities, along with frequent coastal flooding, has generated pressure on the coastline of the Republic of Croatia (RH). In this paper, an integrated coastal vulnerability model (ICVI) for coastal flooding was developed. The ICVI was generated using a GIS multicriteria approach and derived from two sub-indices: the physical vulnerability index (CVIN) and the socio-economic vulnerability index (CVIS). In total, 30 criteria were used in the derivation of the ICVI, with twelve contributing to CVIS and eighteen to CVIN. The ICVI model is represented as a line divided into smaller segments, each segment indicating ICVI vulnerability levels ranging from 1 (very low) to 5 (very high). The accuracy of CVIN was evaluated using 159 geocoded coastal flood locations obtained from various websites and the official register of Hrvatske Vode flood events from 2008 to 2023. More than 80% of geocoded flood locations are situated in areas with very high (5) or high (4) CVIN. Furthermore, out of 32 settlements with officially registered flood events, 90.6% of them are located in areas with very high or high ICVI. Since all data used in the ICVI derivation were acquired from open-source databases and a user-friendly GIS-MCDA toolbox was utilized, this paper presents a cost-effective approach to modeling integrated coastal vulnerability. This model can guide decision-makers and provide them with new insights for implementing an effective integrated coastal zone management strategy.

Is federal housing assistance associated with earlier-stage cancer diagnosis? Evidence from the new SEER-Medicare and US Department of Housing and Urban Development data linkage.

85 Background: Despite growing awareness that stable and affordable housing is a key social determinant of health, little research has examined the role of federal housing assistance in cancer outcomes. This study uses a novel data linkage to examine the association of federal housing assistance (i.e. various rent subsidy programs) on stage at diagnosis for the 4 most common cancers in the US. Methods: Individuals aged 66-95 years newly diagnosed with breast, colorectal, non-small cell lung (NSCLC) or prostate cancer in 2006-2019 with fee-for-service coverage were selected from SEER-Medicare Housing and Urban Development (HUD) administrative data. After identifying individuals with housing assistance at diagnosis, controls without housing assistance at diagnosis were propensity score matched in a 3:1 ratio by cancer site, age, sex, race/ethnicity, marital status, registry, year of diagnosis, area-level Yost socioeconomic status index, dual Medicaid eligibility, rural/urban residence, reason for Medicare entitlement, and pre-diagnosis comorbidity. Associations of housing assistance and diagnosis stage (SEER summary stage: localized vs. regional/distant) were examined with separate logistic regression models by cancer type. Results: A total of 7335 individuals with breast, 5660 with colorectal, 7399 with NSCL and 4309 with prostate cancer received housing assistance at diagnosis (Table). Compared to matched controls, a smaller percentage of individuals with housing assistance were diagnosed with regional/distant breast (36% vs. 33%), colorectal (59% vs. 57%), and NSCL (71% vs. 69%) cancers. Individuals receiving housing assistance were less likely to be diagnosed with later-stage breast (OR: 0.87; 95% CI: 0.83, 0.92) and NSCL (OR: 0.93; 95% CI: 0.88, 0.99) cancers. Housing assistance was not significantly associated with stage for individuals with colorectal or prostate cancers. Conclusions: Federal housing assistance is associated with earlier-stage breast and NSCL cancer diagnosis, highlighting its potential role in mitigating the adverse effects of housing insecurity on cancer outcomes. Housing assistance and cancer diagnosis stage. No Housing Assistance at Dx,N (%) Housing Assistance at Dx,N (%) OR [95% CI], P Breast Localized 14291 (64) 4890 (67) 1.0 (ref) Regional/Distant 8179 (36) 2445 (33) 0.87 [0.83, 0.92] P&lt;0.001 Colorectal Localized 7046 (42) 2422 (43) 1.0 (ref) Regional/Distant 9934 (59) 3238 (57) 0.95 [0.89, 1.01] P=0.09 NSCLC Localized 6572 (30) 2298 (31) 1.0 (ref) Regional/Distant 15625 (71) 5101 (69) 0.93 [0.88, 0.99] P=0.02 Prostate Localized 10293 (80) 3401 (79) 1.0 (ref) Regional/Distant 2634 (20) 908 (21) 1.04 [0.96, 1.14] P=0.33 Dx=Diagnosis; OR=Odds Ratio; CI=Confidence Interval.

Evaluating Aquifer Management Objectives against Socioeconomic Indicators to Understand Differential Impacts on Communities across Multiple Scales

Evaluating Aquifer Management Objectives against Socioeconomic Indicators to Understand Differential Impacts on Communities across Multiple Scales

Low Socioeconomic Indicators Correlate with Critical Pre-Operative Glenoid Bone Loss and Care Delays

BackgroundChronic and recurrent shoulder dislocations prior to stabilization can increase the risk of glenoid bone loss. Glenoid bone loss exceeding critical levels can lead to further instability and decreased outcomes following arthroscopic labral repair. Indicators of low socioeconomic status (SES), such as high Area Deprivation Index (ADI) and non-commercial insurance, are related to generalized delays to orthopedic care, which can cause recurrent instability and increase glenoid bone loss. Hypothesis/PurposeHigher national ADI and non-commercial insurance would be associated with greater levels of radiographic glenoid bone loss after glenoid instability. MethodsA retrospective study was performed with patients who underwent anterior labral repair. Chart review included demographics, course of care data, preoperative instability data, national ADI, and insurance status. The Neighborhood Atlas Website and patients’ home addresses were used to obtain national ADI. Glenoid bone loss was measured using the Best-fit circle Pico method on three-dimensionally aligned magnetic resonance images (MRIs). Researchers were blinded to SES indicators during radiographic analysis. Glenoid bone loss was compared between SES indicators using one-way ANOVAs. Results146 patients met inclusion criteria and had complete datasets (23.3% female; 22.4±7.0-years-old; national ADI=16.1±15.3). Patients experienced on average 9.12±6.63% glenoid bone loss. A curve fitting tool determined a quadratic non-linear regression best characterized the association of glenoid bone loss and ADI (R2 = 0.392, p < 0.001). Individuals with commercial insurance experienced 8.58%±6.69% glenoid bone loss as compared to 11.78%±6.30% in individuals with Medicaid insurance (p=0.03). Critical bone loss at a threshold of 13.5% was more likely with higher national ADI (p<0.001) and Medicaid insurance (OR=2.49, CI=1.02-6.09). However, only national ADI was predictive of subcritical bone loss at a threshold of 10% (p<0.001). ConclusionPatients with greater national ADI and Medicaid insurance status had greater rates of critical preoperative glenoid bone loss at a threshold of 13.5%. Greater national ADI is also predictive of subcritical glenoid bone loss at a threshold of 10% and overall glenoid bone loss. Further study is needed to assess the postoperative implications of these findings in this population.

Forecasting the climate-conflict risk in Africa along climate-related scenarios and multiple socio-economic drivers

This study investigates how climate change might impact economic development in the future through its effects on violence, addressing the gap in research on long-term conflict risk assessment. Using geocoded data (1°resolution) on climate and socio-economic indicators covering 1990-2050, we employ a forecasting recursive model to examine the probability and intensity of different types of conflict, under various socio-economic and climate scenarios. Our analysis reveals that climate change has both direct and indirect effects on violence, highlighting the key role of the agricultural channel, the spillover across neighbouring areas and the socio-economic context. These findings offer new insights into adaptation strategy and provide implications for the need to jointly account for the complex interactions between climate conditions, socio-economic factors, and conflict dynamics.

Maternal mortality in Brazil: an analysis of temporal trends and spatial clustering.

This article aims to analyze spatial and temporal patterns of maternal mortality in Brazil during the period 2010-2020 and identify related socioeconomic indicators. We conducted an ecological study of the maternal mortality ratio (MMR) in Brazil's municipalities using secondary data. Temporal analysis was performed using the joinpoint method. Bayesian statistics, spatial autocorrelation, the Getis Ord Gi* technique and the scan statistic were used to identify spatial clusters, and multiple non-spatial and spatial regression models were used to assess the association between factors and the MMR. There was an increase in the MMR in 2020 and an increase in deaths in the North and Southeast. Clusters were found in Amazonas, Tocantins, Piauí, Maranhão, Bahia and Mato Grosso do Sul. The following indicators were negatively associated with the MMR: cesarean section rate, Municipal Human Development Index, and per capita household income of people who are vulnerable to poverty. The MMR was stable up to 2019, followed by a sharp rise in 2020 coinciding with the onset of the Covid-19 pandemic in the country. It is essential that efforts to reduce maternal mortality in Brazil extend beyond the promotion of improvements in antenatal, childbirth and postpartum care to address the social determinants of the problem.