Socioeconomic Ranking Research Articles

Unintentional childhood mortality during emergencies in Israel: a comparative study

BackgroundArmed conflicts are likely to have implications for the welfare and safety of children, potentially leading to increased rates of unintentional childhood injuries.MethodsWe examine data from Israel concerning the relationship...

ГЕОГРАФИЯ ПРИРОДНЫХ ОПАСНОСТЕЙ КЫРГЫЗСКОЙ РЕСПУБЛИКИ

The analysis of spatial patterns of exposure of various regions of the Kyrgyz Republic to natural hazards made it possible to identify the most significant hazards according to the severity of socio-economic and geo-ecological consequences and rank the regions of the republic, dividing them into 4 categories according to exposure to various natural hazards: insignificant, weak, noticeable, significant. Most of the territory of the republic belongs to territories with significant and noticeable exposure to natural hazards, the development of which depends mainly on the nature of the terrain.

Assessing and Clustering Countries Based on COVID-19 and Related Indicators: Clustering and MULTIMOORA Approaches

The COVID-19 pandemic has been one of humanity's most difficult times. The pandemic spread and impact were not at the same level for all countries. Investigation of the variation of the countries is crucial for policymakers. Therefore, the study proposed to cluster countries according to the number of COVID-19 cases, deaths, vaccinations and related socioeconomic, disease, and health risk factors and rank them by using MULTIMOORA (MOORA plus the full multiplicative form) in an integrated way. The data set consists of 148 countries and 13 indicators. K-Means algorithm was used to cluster countries. Optimal cluster was found as six according to Silhouette Index. The cluster consisted of mostly developed countries ranked as best perform cluster. It had the highest number of COVID-19 vaccinations, GDP per capita, share health expenditure in GDP, life expectancy, elderly population portion, and environmental performance index values, and the least mortality of chronic diseases. Moreover, Norway, Iceland, and Denmark were the best-performing countries in this cluster. In addition to this, Turkey was located in the second-ranked cluster. It was also determined that COVID-19 indicators (cases, deaths, and vaccinations) were related to GDP per capita, environmental index, and life expectancy. As a result, policymakers can develop pandemic policies for country groups separately, and assistance can be provided in this regard according to the priority order of the countries.

Academic rank, socioeconomic rank, and educational outcomes: longitudinal evidence from Chile

ABSTRACT Whilst a growing literature has documented the link between academic rank and educational progression, the effect of socioeconomic rank on these outcomes has been largely neglected. Using longitudinal data and exploiting the idiosyncratic variation in test score distributions across secondary school classes, I analyze the impact of within-class academic and socioeconomic rank on educational outcomes in Chile. I show that being relatively advantaged (socioeconomically or academically) compared to one’s classmates leads to a greater likelihood of positive educational progression outcomes. Results suggest socioeconomic rank is not simply proxying the influence of within-class academic rank on young people’s educational progression.

A Comparative Analysis of the Demographics and Zip Codes of Patients Seen at the Indiana University Student Outreach Clinic.

Within a small geographic area, Marion County contains a stark spectrum of health outcomes and socioeconomic statuses. The Indiana University Student Outreach Clinic (IUSOC) serves as a safety net provider, offering free health and social services in the Near Eastside neighborhood of Indianapolis. The aim of this study was to characterize the demographics and geographic distribution of the IUSOC's patient population. From January to September 2023, 612 patients visited the IUSOC, and 460 self-identified as Marion County residents. 63.9% of patients were between 45 and 64 years old. 66.8% were Non-Hispanic (NH) Black, and 23.3% were Hispanic. 18.9% spoke Spanish and had limited English proficiency. Based on the Distressed Communities Index (DCI), 58.7% lived in "Distressed" zip codes, indicating economic vulnerability and disparities. The zip code with the greatest number of IUSOC patients had the highest rate of uninsured adults in Marion County. IUSOC patients are primarily middle-aged minorities who live in zip codes with low socioeconomic rankings by DCI. This information can be used to improve community resource referral pathways in the clinic.

Is a municipal socio-economic ranking more influential than vaccination on daily growth in COVID-19 infection rate?

Is a municipal socio-economic ranking more influential than vaccination on daily growth in COVID-19 infection rate?

The income-happiness nexus: uncovering the importance of social comparison processes in subjective wellbeing

IntroductionPrevious research has established a positive correlation between income and subjective wellbeing (SWB). This correlation is attributed to income’s ability to provide material circumstances and influence one’s perceived socioeconomic rank in society, known as subjective socioeconomic status (SES).ObjectiveThis study sought to examine whether social comparison processes could mediate the relationship between income and SWB. Specifically, we aimed to explore the impact of comparing one’s current socioeconomic situation to individuals from a similar socioeconomic background (referred to as Comsim) on SWB, based on the similarity hypothesis of social comparison theory.MethodsData stem from two separate two-wave surveys. Study 1 comprised 588 participants, with 294 men and 294 women; age range 25–60 years; mean age 41.5 years). Study 2 comprised 614 participants, with 312 men and 302 women; age range 25–60 years; mean age 43.5 years. In both studies, data on predictors and SWB were collected 3 months apart.ResultsIn both study 1 and study 2, bivariate analysis demonstrated a positive correlation between income and SWB. However, multivariate regression models revealed that income did not have a direct effect on SWB. Instead, in both studies, subjective SES and Comsim emerged as significant predictors of SWB, with Comsim being the most influential. Furthermore, our formal mediation analysis indicated that subjective SES and Comsim fully mediated the relationship between income and SWB, when combined. Additionally, in study 2, we found that cognitive factors such as personal control, as well as affective factors like self-esteem, played a mediating role between the social comparison processes and SWB.ConclusionThis study contributes to existing research by emphasizing the importance of two distinct social comparison mechanisms in mediating the relationship between income and SWB.ImplicationsTherapeutic interventions to improve SWB should also consider social comparison processes. From a political standpoint, policies addressing income inequality can mitigate the negative effects of social comparisons on wellbeing. Providing support to those in lower socioeconomic positions can also enhance SWB.

How Should Diverse Stakeholder Interests Shape Evaluations of Complex Water Resources Systems Robustness When Confronting Deeply Uncertain Changes?

AbstractRobustness analysis can support the design and operation of large‐scale water infrastructure projects confronting deeply uncertain futures. However, diverse actors, contextual specificities, sectoral interests, and risk attitudes make it difficult to identify an appropriate robustness metric to rank decision alternatives under deep uncertainty. Here, we clarify how methodological choices affect robustness evaluation using the multi‐actor, multi‐sector Inchampalli‐Nagarjuna Sagar water transfer megaproject in Southern India. We compare a suite of water transfer strategies discovered using evolutionary multi‐objective direct policy search (EMODPS), a strategy proposed by regional authorities and the status quo of no water transfer. We stress‐test these strategies across scenarios that capture climatic and socioeconomic uncertainties and rank them using robustness metrics representing sectoral perspectives and priorities of different actors with varying risk attitudes. Results show a considerable impact of metric choices on robustness rankings of strategies, with compromise solution discovered via EMODPS as robust. The no‐transfer strategy results in the worst water supply robustness with an average volumetric deficit of 17% of total historical demands but emerges as a robust alternative for 6 out of 12 combinations of actor‐sectors with high risk aversion. Also, changes in the amplitude of the Indian Summer Monsoon is identified as the most important uncertain factor determining the failure of strategies. Our findings highlight that the selection of robust solutions should be guided by an understanding of how assumed risk attitudes shape stakeholders' perceptions of vulnerabilities. These findings are generalizable to large infrastructure projects with diverse stakeholders and multisectoral impacts.

Exploring the relationship between multiple dimensions of subjective socioeconomic status and self-reported physical and mental health: the mediating role of affect.

This study aimed to investigate the predictive effects of two types of subjective socioeconomic status on self-reported physical and mental health. Specifically, we examined the MacArthur Scale (MacArthur) which measures perceived socioeconomic rank in the society and a novel scale called ComSim, which assessed how participants compared themselves socioeconomically to others coming from a similar socioeconomic background. We also considered the influence of income, education, and personal relative deprivation (PRD) in these analyses. Additionally, we explored whether these effects were mediated through negative and positive affect. The data were collected through a cross-sectional, two-wave survey of 294 women and 294 men, with a mean age 41.6 years. Participants were recruited via an online platform. The results from multivariate regression models revealed that socioeconomic status measured with both the MacArthur Scale and ComSim significantly predicted both self-reported health measures, whereas income and education did not predict any of these measures in the full multivariate models. PRD only predicted self-reported mental health. Mediation analyses showed that negative and positive affect mediated the relationships between socioeconomic status measured by ComSim and self-reported health measures. These findings are discussed in the context of the similarity hypothesis of social comparison theory. The results underscore the importance of considering multiple dimensions when examining socioeconomic health disparities.

Features associated with travel distance for radical cystectomy in Florida: Implications for access to care

IntroductionCharacteristics associated with travel distance for radical cystectomy (RC) remain incompletely defined but are needed to inform efforts to bridge gaps in care. Therefore, we assessed features associated with travel distance for RC in a statewide dataset. MethodsWe identified RC patients in the Florida Inpatient Discharge dataset from 2013 to 2019. Travel distance was estimated using zip code centroids. The primary outcome was travel >50 miles for RC. Secondary outcomes included inpatient mortality, nonhome discharge, and inpatient complications. U.S. County Health Rankings were included as model covariates. Mixed effects logistic regression models accounting for clustering within hospitals were utilized. ResultsWe identified 4,209 patients, of whom 2,284 (54%) traveled <25 miles, 654 (16%) traveled 25 to 50 miles, and 1271 (30%) traveled >50 miles. Patients who traveled >50 miles primarily lived in central and southwest Florida. Following multivariable adjustment, patients traveling >50 miles were less likely to be Hispanic/Latino (odds ratio [OR] 0.35, 95% CI: 0.23–0.51), and more likely to reside in a county with the lowest health behavior (OR 6.48, 95% CI: 3.81–11.2) and lowest socioeconomic (OR 7.63, 95% CI: 5.30–11.1) rankings compared to those traveling <25 miles (all P < 0.01). Travel distance >50 miles was associated with treatment at a high-volume center and significantly lower risks of inpatient mortality, nonhome discharge, and postoperative complications (all P < 0.02). ConclusionThese data identify characteristics of patients and communities in the state of Florida with potentially impaired access to RC care and can be used to guide outreach efforts designed to improve access to care.

EPH213 Understanding the Relationship between Socioeconomic Disadvantage Ranking and Access to Aortic Valve Procedures

EPH213 Understanding the Relationship between Socioeconomic Disadvantage Ranking and Access to Aortic Valve Procedures

The impact of Covid-19 on the Korean and US labour markets

ABSTRACT This study compares labour market experiences in South Korea and the US at the outbreak of the pandemic and then again in November 2020. We found that the pandemic had the most considerable effect on the not-at-work rate in South Korea and the unemployment rate in the US. We computed concentration indices to measure inequality in the labour markets using education as a socioeconomic ranking variable. Applying a Recentered Influence Function (RIF) regression, we found that unemployment was more concentrated among less-educated workers in South Korea. Still, the not-at-work rate was more concentrated among highly educated workers. While the ability to work from home played an important role in explaining these inequalities, by November 2020, the Korean labour market showed minimal disparities. In general, US workers with lower education levels experienced higher unemployment and not-at-work rates. The capability to work remotely considerably reduced inequality in April, but it did not in November.

Impact of High Neighborhood Socioeconomic Deprivation on Access to Accredited Breast Imaging Screening and Diagnostic Facilities

PurposeThe aim of this study was to evaluate the presence or absence of accredited breast imaging facilities in ZIP codes with high or low neighborhood socioeconomic deprivation. MethodsA retrospective ecological study design was used. Neighborhood socioeconomic disadvantage rankings at the ZIP code level were defined by the University of Wisconsin Neighborhood Atlas Area Deprivation Index. Outcomes included the presence or absence of FDA- or ACR-accredited mammographic facilities, accredited stereotactic biopsy or breast ultrasound facilities, and ACR Breast Imaging Centers of Excellence. US Department of Agriculture rural-urban commuting area codes were used to define urban and rural status. Access to breast imaging facilities in high-disadvantage (≥97th percentile) and low-disadvantage (≤3rd percentile) ZIP codes was compared using χ2 tests, stratified by urban or rural status. ResultsAmong 41,683 ZIP codes, 2,796 were classified as high disadvantage (1,160 rural, 1,636 urban) and 1,028 as low disadvantage (39 rural, 989 urban). High-disadvantage ZIP codes were more likely rural (P < .001) and less likely to have FDA-certified mammographic facilities (28% versus 35%, P < .001), ACR-accredited stereotactic biopsy (7% versus 15%, P < .001), breast ultrasound (9% versus 23%, P < .001), or Breast Imaging Centers of Excellence (7% versus 16%, P < .001). Among urban areas, high-disadvantage ZIP codes were less likely to have FDA-certified mammographic facilities (30% versus 36%, P = .002), ACR-accredited stereotactic biopsy (10% versus 16%, P < .001), breast ultrasound (13% versus 23%, P < .001), and Breast Imaging Centers of Excellence (10% versus 16%, P < .001). ConclusionsPeople living in ZIP codes with high socioeconomic disadvantage are less likely to have accredited breast imaging facilities within their ZIP codes, which may contribute to disparities in access to breast cancer care experienced by underserved groups living in these areas.

Socioeconomic Status and Meta-Perceptions: How Markers of Culture and Rank Predict Beliefs About How Others See Us.

How does a person's socioeconomic status (SES) relate to how she thinks others see her? Seventeen studies (eight pre-registered; three reported in-text and 14 replications in supplemental online material [SOM], total N = 6,124) found that people with low SES believe others see them as colder and less competent than those with high SES. The SES difference in meta-perceptions was explained by people's self-regard and self-presentation expectations. Moreover, lower SES people's more negative meta-perceptions were not warranted: Those with lower SES were not seen more negatively, and were less accurate in guessing how others saw them. They also had important consequences: People with lower SES blamed themselves more for negative feedback about their warmth and competence. Internal meta-analyses suggested this effect was larger and more consistent for current socioeconomic rank than cultural background.

County-level Factors and Treatment Access Among Insured Women With Opioid Use Disorder.

An over 40% increase in overdose deaths within the past 2 years and low levels of engagement in treatment call for a better understanding of factors that influence access to medication for opioid use disorder (OUD). To examine whether county-level characteristics influence a caller's ability to secure an appointment with an OUD treatment practitioner, either a buprenorphine-waivered prescriber or an opioid treatment program (OTP). We leveraged data from a randomized field experiment comprised of simulated pregnant and nonpregnant women of reproductive age seeking treatment for OUD among 10 states in the US. We employed a mixed-effects logistic regression model with random intercepts for counties to examine the relationship between appointments received and salient county-level factors related to OUD. Our primary outcome was the caller's ability to secure an appointment with an OUD treatment practitioner. County-level predictor variables included socioeconomic disadvantage rankings, rurality, and OUD treatment/practitioner density. Our sample comprised 3956 reproductive-aged callers; 86% reached a buprenorphine-waivered prescriber and 14% an OTP. We found that 1 additional OTP per 100,000 population was associated with an increase (OR=1.36, 95% CI: 1.08 to 1.71) in the likelihood that a nonpregnant caller receives an OUD treatment appointment from any practitioner. When OTPs are highly concentrated within a county, women of reproductive age with OUD have an easier time securing an appointment with any practitioner. This finding may suggest greater practitioners' comfort in prescribing when there are robust OUD specialty safety nets in the county.

Budgeting poverty alleviation: justifying in-kind conditionality in Israeli municipal authorities

PurposeWelfare reforms introduced conditionality into cash transfers often by diverse welfare-to-work programs achieving its vast legitimization. Meanwhile in-kind poverty alleviation policies maintained their universal character in the forms of national budgeting of municipal services. Utilizing justification work, the authors aim at showing how conditionality of in-kind support is replacing universalism. The authors ask which justification work assist administrators in shaping the relationship between in-kind and cash transfer and the changing meanings of poverty alleviation practices.Design/methodology/approachThe authors conducted 20 semi-structured interviews with senior administrators in Israeli local governments analysing them along principles of critical discourse analysis (Fairclough, 2010). Further, seeking to elicit the justification work, the authors added some guidelines from the discourse interaction approach.FindingsThe findings identified administrators' justification work as taking two major shapes. The first is an emphasis on conditionality in their in-kind support projects, which is limited in time, contingent upon co-operation and sometimes even enhancing choice for those in need. The second is the manifestation of pride anchored in the skilful budget management enabling the achievement of conditional in-kind support projects based on the effort involved.Research limitations/implicationsThe authors did not prompt the interviewees for the proportions of specific categories, such as whether they are attending and benefitting of the in-kind support programs. This is a limitation of this study that prevented the authors from contrasting perceived achievements against the actual coverage of their projects.Practical implicationsIt is important that government funding is increased for municipal anti-poverty policies engaging municipal administrator in the struggle for full and better coverage so that capability deprivation is combatted by a combination of cash transfer and quality social services that are universal and at the same time secure mentoring and supervision to all households in need.Social implicationsFuture research should present the analysis that associates different budgets of each city with its anti-poverty polices and its different socio-economic ranking. Critical social-policy scholars may apply this study’s findings in future analyses of municipal administrators' power position as reinforced by national level policy makers, particularly when introducing controversial policies.Originality/valueAnti-poverty policy and the specific combination between conditional cash transfers and in-kind support have been explained at the level of political–economic decision making. The authors conceptualize the need to explain anti-poverty policy by focussing on municipal administrators’ embedded agency, particularly around controversial issues. By building the professional self of municipal welfare administrators, inter alia by ignoring past meanings of in-kind support as depriving recipients of autonomy, conditionality is extended into in-kind services.

The role of community–private sector partnerships in the diffusion of environmental innovation: renewable energy in Southern Israel

AbstractLocal communities have been identified as crucial actors in the diffusion of renewable energy, considered one of the most important eco-innovations of our time. Anecdotal evidence has indicated that local communities tend to play different roles in promoting eco-innovation, particularly renewable energy. However, what this heterogeneity looks like has not yet been quantitatively examined. Our study addresses this gap by systematically exploring the involvement of communities in the promotion of eco-innovation at the local level. We focus on their participation in renewable energy partnerships with the private sector in rural areas in Israel's southern periphery. Our study indicates that local communities play diverse roles in promoting renewable energy through varying involvement in finance, ownership, knowledge contribution, employment, energy consumption, and, most common according to our findings, the leasing of natural resources. The study further tracks the factors that shape this diverse involvement, including the community’s land size, population size, socio-economic ranking, and experience. Finally, the study unpacks the levels of risks and gains that local communities face when promoting renewable energy through their partnerships with the private sector. By confronting theory with quantitative research, this study sheds light on the diverse roles local communities play in the diffusion of eco-innovation, a prerequisite for renewable energy.

Estimated Infection and Vaccine Induced SARS-CoV-2 Seroprevalence in Israel among Adults, January 2020-July 2021.

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) emerged in Israel in February 2020 and spread from then. In December 2020, the FDA approved an emergency use authorization of the Pfizer-BioNTech vaccine, and on 20 December, an immunization campaign began among adults in Israel. We characterized seropositivity for IgG anti-spike antibodies against SARS-CoV-2 between January 2020 and July 2021, before and after the introduction of the vaccine in Israel among adults. We tested 9520 serum samples, collected between January 2020 and July 2021. Between January and August 2020, seropositivity rates were lower than 5.0%; this rate increased from September 2020 (6.3%) to April 2021 (84.9%) and reached 79.1% in July 2021. Between January and December 2020, low socio-economic rank was an independent, significant correlate for seropositivity. Between January and July 2021, the 40.00–64.99-year-old age group, Jews and others, and residents of the Northern district were significantly more likely to be seropositive. Our findings indicate a slow, non-significant increase in the seropositivity rate to SARS-CoV-2 between January and December 2020. Following the introduction of the Pfizer-BioNTech vaccine in Israel, a significant increase in seropositivity was observed from January until April 2021, with stable rates thereafter, up to July 2021.

The socio-economic rank of parents and students’ academic and cognitive outcomes: Examining the physical, psychological and social mediators

This study examined how the socioeconomic rank of parents correlates with students’ academic and cognitive outcomes of science students in senior secondary school. Its objective was to examine the bedrock of physical and psychosocial mediators that influence students’ learning and cognitive attitude. The sample comprised 548 science students drawn from 11 secondary schools in Calabar Municipality of Cross River State, Nigeria. A simple random sampling technique was used to select the sample from a population of 938 students. A cross-sectional observational type of survey design was used in this study. A self-reporting questionnaire labeled Socioeconomic Rank and Students Outcome Questionnaire (SERSOQ) was used for the study after validation and reliability. The results for reliability coefficients for SERSOQ range from 0.66 to 0.89 for Cronbach’s alpha and 0.72–0.81 for Kuder Richardson’s formula-20. Section “A” of SERSOQ was administered to the students in their schools by the research assistants, and students took section “B” home to their parents. Analysis of data collected was done using regression analysis, percentage, and mean. Results showed a great correlation between family income and academic achievement, cognitive attitude, and study habits. The study did not find a significant relationship between assignments with the variables under investigation. Importantly, the findings of this study found that parental control exhibited the greatest mediating function in providing family income impact on students’ cognitive attitude. Other mediators like students’ and peers’ educational ambitions and mother-child verbal relationships were discovered as potent mediators. Findings also showed a slight impact of family income on parent-child and mother-father relationships. Parental control consists of an influential setting that is outside the school environment yet mounting a very powerful effect on determining school outcomes in teenagers. In conclusion, a positive social environment is necessary for enhancing science students’ cognitive ability, academic achievement, and study habits as money is not everything. Some of the recommendations made were that there should be an educative environment at home. Educators should encourage parents to provide the necessary means of academic success, such as a source of light, stationery, books, separate study rooms, and homework facilities in their respective homes.

The effect of Socioeconomic ranks on the rate of Infections and Complications in the Treatment of Children’s Acute Lymphoblastic Leukemia

Socioeconomic differences in survival among children with acute lymphoblastic leukemia (ALL) have been reported widely.