Major World Regions Research Articles

#341 Dialysis modality patterns across six continents in Apollo Dial DB

Abstract Background and Aims Data is often collected during kidney dialysis treatments, providing data on a large scale and at a constant flow. As multinational datasets are scarce, Apollo Dial DB was created by a global provider that contains longitudinal observational data across six continents. This database is fully anonymised and can be used to better understand modality practice of global patients from a variety of healthcare systems for quality improvement and research efforts. Our aim was to detail patterns of dialysis modalities used among patients treated in 40 countries across six continents represented in the first version of the global database. Method Apollo Dial DB, a global anonymised dialysis database, contains demographics, diagnoses, laboratories, medications, treatments, quality of life, and outcomes from six continents and 40 countries. Data was harmonised from different electronic systems and anonymised based on logic established in a re-identification risk assessment. Data is consolidated and stored in a central cloud environment. The initial version of the dataset contains data on more than 360 variables from January 2018 to March 2021 and will be updated periodically. Results The first version of the Apollo Dial DB includes data on 543,169 patients, with 4.6% from Asia-Pacific (AP), 13.9% from Europe, Middle East, and Africa (EMEA), 7.0% from Latin America (LA), and 74.5% from North America (NA) countries. Most of the patients included in the database are between 45-64 years old at the initiation of dialysis. Overall, Apollo Dial DB contains information on 140,016,249 dialysis treatment observations. Depending on the region, different treatment patterns could be observed (Table 1 and Fig. 1). In EMEA a higher proportion of patients received hemodiafiltration with post-dilution, especially in Northern and Southern Europe as well as in South Africa. Peritoneal dialysis was more frequently used in LA and NA than in other regions. CCPD was mainly used in NA, whereas CAPD was common in LA and EMEA. For a more detailed look across the six continents Fig. 1 illustrates incentre hemodialysis modality patterns on a minor world region level. For incentre hemodialysis treatments, the majority of treatments from the minor regions in AP, LA, and NA had HD treatments. However, the majority treatments from EMEA minor regions are receiving incentre HDF treatments. Conclusion In a descriptive analysis, we defined modality treatment patterns in major world regions. These findings act as benchmarks for the nephrology community and expand upon scarce point prevalent information on modality practice patterns used throughout the world [1]. Apollo Dial DB offers opportunities for investigators to conduct global analytics and advance the state of the art.

Improving Women’s Representation in Politics through Gender Quotas

Gender quotas for women in local government bodies can improve women’s representation in politics, increase provision of public services, and improve perceptions of women as leaders. Gender quotas are one policy tool designed to increase women’s representation in politics. Women hold fewer than 25 percent of parliamentary seats worldwide, and just 12 percent of the world’s heads of state and government are women. In many countries this imbalance extends to local governments. Countries are taking action In 2013, 118 countries were implementing a form of gender quotas for an elected office. Women's empowerment and their full participation on the basis of equality in all spheres of society, including participation in the decision making process and access to power ,are fund a mental for the achievement to fequality , development and peace. One way to implement gender quotas is by reserving a certain number of leadership positions for women. A review of eleven randomized evaluations in India, Lesotho, and across 28 states in India found that reservation quotas influenced women’s political participation and policy outcomes and increased the provision of public goods aligned with female voters’ preferences. Further, quotas improved men’s perceptions of women as leaders, increased the aspirations of girls, and helped women get elected even after quotas were removed. Most of the rigorous research drawn on in this insight comes from India comparative conclusions should be drawn cautiously. This evidence largely suggests that governments seeking to improve women’s representation in politics should consider reservation quotas for local leadership positions. overview of the three main types of quota policies reserved seats, party quotas, and legislative quotas. These are found in all major world regions in countries with a broad range of institutional, social, economic, and cultural characteristics. At the same time, the mere advent of gender quotas has not resulted in uniform increases in the percentage of women in parliament worldwide some countries have witnessed dramatic increases, while others have seen more modest changes or even setbacks in the number of women elected to national assemblies. Despite the rapid international diffusion of these measures, most research has focused on single countries or, at most, the presence of quotas within one world region. Consequently, explanations for the adoption and impact of gender quotas derived from one study often contradict .

A global analysis of bank profitability factors

We analyze the factors that explain banks’ profitability globally and by region. With increasing globalization, knowing the different aspects of bank profitability is essential for countries’ financial stability and economic growth. This study used a sample of 2,091 commercial banks operating in 110 countries grouped into major world regions. With random effect regression models, the global results show that the internal factors that explain the bank´s profitability are listed entities, impaired loans, efficiency, gross interest margin, and capitalization. For its part, the most significant external factors are related to the position of the countries in the ranking by assets, inflation, unemployment, interest rates, and economic growth. From a regional perspective, the results allow us to deduce with high robustness the existence of variable sets that determine bank profitability in each region and that regional models outperform global models in most cases.

Behavioral Interventions for Climate Mitigation in Developing Countries: Overview and Prospects

Behavioral interventions are increasingly being considered as useful complements of traditional climate-policy instruments. These interventions are so far mostly being studied and applied in high-income countries. Here, we examine their application to achieve carbon emissions reduction in low- and middle-income countries. This involves synthesizing evidence from meta-analyses and systematic reviews from developed countries and deriving general insights for developing countries. We also review evidence from primary studies in developing countries, organizing insights by major world regions. We discuss context dependence of findings, as well to what extent behavioral interventions are complementary to, and create synergies with, other policy instruments. We hope that the present overview serves as starting point to expand the currently small evidence base on climate-relevant behavioral interventions in developing countries. Suggestions are made how to move this research forward.

Who pays the bill? Climate change, taxes, and transfers in a multi-region growth model

This paper presents a quantitative study of a dynamic climate-economy model with multiple regions to evaluate how implementing an optimal climate tax affects production, emissions, and welfare in each region. We develop a numerical algorithm which is generally applicable to compute equilibria in the presence of arbitrarily many regions and under alternative climate policies. Our simulation model distinguishes six major world regions and incorporates a wide array of regional heterogeneities including a detailed description of the energy production process in each region. We also quantify the full range of Pareto-improving transfers under which each region has an incentive to join the global climate agreement. Our results show that optimal taxation reduces coal consumption in each region substantially by about 70% and leads to higher GDP within the next 100 years in most regions. The only exception is China which suffers losses in GDP for the next 130 years due to its strong dependence on coal and must be incentivized via transfer payments to implement the optimal tax. We also show that the increase in global temperature under optimal taxation is compatible with the two-degree target.

Exciting, boring, and nonexistent skylines: Vertical building gaps in global perspective

AbstractDespite the widespread prevalence and economic importance of tall buildings, little is known about how their patterns vary across space and time. We aim to quantify differences across major world regions over time (1950–2020). To do so, we exploit novel data on the location, height (above 55 m), and year of construction of nearly all tall buildings in the world. We propose a new methodology to estimate the extent to which some world regions build up more than others given similar economic and geographic conditions, city size distributions, and other features. Our analyses reveal that many skylines may visually appear more prominent than they really are once one includes all tall buildings and core controls, which alters how regions are ranked in terms of tall building stocks. Using results by city size, centrality, height of buildings, and building function, we classify world regions into different groups, finding that tall building stocks are likely driven by boring skylines of residential high‐rises, and to a lesser extent exciting skylines of skyscrapers and office towers. Finally, land‐use regulations and preferences, not historical preservation nor dispersed ownership, may account for most observed differences.

The Missing Millions in Maps: Exploring Causes of Uncertainties in Global Gridded Population Datasets

Gridded population datasets model the population at a relatively high spatial and temporal granularity by reallocating official population data from irregular administrative units to regular grids (e.g., 1 km grid cells). Such population data are vital for understanding human–environmental relationships and responding to many socioeconomic and environmental problems. We analyzed one very broadly used gridded population layer (GHS-POP) to assess its capacity to capture the distribution of population counts in several urban areas, spread across the major world regions. This analysis was performed to assess its suitability for global population modelling. We acquired the most detailed local population data available for several cities and compared this with the GHS-POP layer. Results showed diverse error rates and degrees depending on the geographic context. In general, cities in High-Income (HIC) and Upper-Middle-Income Countries (UMIC) had fewer model errors as compared to cities in Low- and Middle-Income Countries (LMIC). On a global average, 75% of all urban spaces were wrongly estimated. Generally, in central mixed or non-residential areas, the population was overestimated, while in high-density residential areas (e.g., informal areas and high-rise areas), the population was underestimated. Moreover, high model uncertainties were found in low-density or sparsely populated outskirts of cities. These geographic patterns of errors should be well understood when using population models as an input for urban growth models, as they introduce geographic biases.

Allocation of carbon emission quotas based on global equality perspective.

In a context of global climate change and issues relating to national carbon neutrality, carbon emissions (CE), which are linked with sustainable national development, have become the focus of worldwide competition. We performed geographic information system (GIS) spatial analysis using historical CE data for major countries and world regions for the period 1970-2018 to identify their cumulative and per capita CE. The analysis revealed the characteristics of large cumulative CE in countries that underwent early industrialization, notably the USA, Russia, and Germany and of low per capita emissions in developing countries, notably China and India. We identified 10 mainstream international emission reduction scenarios and compared and analyzed the advantages and disadvantages of different models for measuring CE allowances. We further summarized the characteristics of IPCC scenarios, shared socioeconomic pathway scenarios, and temperature-controlled threshold scenarios along with the CE allowances of China and other major countries under different scenarios. The intended nationally determined contributions (INDCs) commitment mechanism may have an impact on promoting the construction of a new global climate governance order. Considering multiple scenarios and the uncertainty of carbon emissions, choosing a certain carbon budget plan is an important future research direction. Last, we reviewed the current methods of allocating CE rights globally and among major countries and the development trend of CE to provide scientific evidence for the formulation and implementation of future international climate change agreements. In conclusion, we offer solutions for enhancing participation in the global governance of climate change.

Mitogenomics and the Global Dispersion of Vespula germanica: A Case Study from South Africa Shows Evidence for Two Separate Invasion Events

Vespula germanica is currently present in all major world regions outside its native Northern Hemisphere range and poses a biological threat to the invaded ecosystems. The genetic diversity of the species is poorly described in both the native and invaded ranges, thus hampering insights into possible mechanisms of invasion. In South Africa, V. germanica was first detected in 1972, and a recent study concluded that one large or several independent invasion events had occurred. However, the high number of low-frequency haplotypes reported therein raised doubts about the quality of the data. In this study, we reassessed the haplotype diversity of V. germanica in South Africa under improved methodological conditions. New mitochondrial markers were developed using complete mitochondrial genomes of V. germanica that allowed the identification of polymorphic regions and the design of robust species-specific primers. Contrary to two previous studies, only two mitochondrial haplotypes were found in South Africa despite almost doubling the number of sampled nests. It is likely that that the number of haplotypes previously reported was overestimated due to the miscalling of nucleotide positions in the electropherograms. Furthermore, the two haplotypes found have contrasting geographic distributions, which supports the known invasion history for this species. Availability of complete mitochondrial genomes for selection of polymorphic regions and design of robust species-specific primers improved the accuracy of the assessment of V. germanica diversity in South Africa. This approach will also be valuable for studying invasive wasp populations of this and other species globally.

Understanding the evolving context for lifelong education: global trends, 1950 – 2020

ABSTRACT Lifelong education is comprised of four broad categories of activity: early childhood education, primary and secondary schooling, tertiary studies, and adult education. Patterns of people’s engagement with each category of lifelong education differ substantially between countries and are influenced by widely varying public policies and institutional settings. While recognising the tremendous diversity of lifelong education around the world, this article describes a dramatic global expansion of formal schooling in recent decades, links that expansion to demographic, social, and economic changes, and highlights persistent inequalities between and within countries. The goal of this article is to provide a context for understanding the evolution of lifelong education by carefully documenting the history of key global trends over the past seventy years. Data are national-level quantitative indicators, compiled by United Nations organisations such as the World Bank, UNESCO, and the ILO, and organised to enable the comparison of trends between major world regions. The analysis and presentation of this data focus on enabling scholars and practitioners of lifelong education to understand how their field has evolved in concert with global patterns of social change. The article’s conclusions challenge such scholars and practitioners to contest the reproduction of inequality through education.

Air quality changed disproportionally across the world urban agglomerations, countries, and regions due to COVID-19 lockdown measures

BACKGROUND AND AIM: The COVID-19 response policies had a major impact on air quality (AQ) worldwide. However, limited data availability, diverse political responses, and multiple-factor interactions made the analysis challenging. We aimed to quantify the effect of various COVID-19 response policies on concentration of ambient nitrogen dioxide (NO2) in major world urban agglomerations (UAs), countries, and regions. METHODS: Daily mean NO2 concentrations from January 01, 2019 to July 31, 2020 were collected from 1) 1,267 publicly available ground monitoring sites at 496 UAs across 29 countries, and 2) Sentinel-5P satellite at 1,851 UAs across 143 countries. Eight daily national COVID-19 response actions were retrieved from Oxford’s COVID-19 Government Response Tracker for countries of the world. COVID-19 response action implementations were clustered into three groups: stringent, moderate, and mild policy. Using UA-specific linear regression models, we assessed the association between different policy implementations and NO2 concentrations, adjusting for meteorological variables and time trends. Finally, meta-regression models were applied to aggregate global, regional, and country-specific results. In addition, we examined the effect modification of the association by UA population size. RESULTS:Ground-monitored data suggested that NO2 concentrations decreased by 32% in countries with a stringent policy and by 26% in countries with a moderate policy. No substantial changes occurred in countries with a mild policy. Satellite observations of NO2 were highly correlated with ground-monitored data, and demonstrated that the greatest AQ improvements occurred in the Eastern Mediterranean and Western Pacific regions, but not in Europe or North America. The greatest AQ improvements were observed in more populated areas, especially in UAs with ≥5 million population. CONCLUSIONS:Our study suggests that COVID-19 response policies taken in 2020 led to global reductions in NO2 concentrations. These AQ improvements were most pronounced in countries with more stringent COVID-19 containment policies and in more populated areas. KEYWORDS: COVID-19, Air pollution, Policy, Exposures, Oxides of Nitrogen

Where, When, and Who: Corporate Social Responsibility and Brand Value—A Global Panel Study

According to surveys of companies, branding is one of the main objectives of their corporate social responsibility (CSR). With advantageous data from Brand Finance, we address three contextual factors that may condition the relationship between CSR and brand value. First, we hypothesize that the relationship between CSR and brand value obtains across major world regions and industrial sectors (“the convergence thesis”). Second, we hypothesize that the relationship has weakened with time, as companies have had increasing difficulty using CSR to differentiate their brands in a sea of CSR-espousing competitors (“the crowding out thesis”). Third, we hypothesize that the relationship between CSR and brand value is weaker where a brand’s identity is different from that of its corporate owner, which may make it difficult for observers to readily link (corporate-level) CSR with its potential (lower level) brand beneficiaries (“the identity-match thesis”). We support these hypotheses with random-effects, fixed-effects, and instrumental-variable regressions before ending with contributions, limitations, implications, and potential next steps.

An integrative approach to estimating productivity in past societies usingSeshat: Global History Databank

This article reports the results of a collaborative effort to estimate agricultural productivities in past societies using Seshat: Global History Databank. We focus on 30 Natural Geographic Areas (NGAs) distributed over 10 major world regions (Europe, Africa, Southwest Asia, South Asia, Southeast Asia, East Asia, Central Eurasia, North America, South America, and Oceania). The conceptual framework that we use to obtain these estimates combines the influences of the production technologies (and how they change with time), climate change, and effects of artificial selection into a Relative Yield Coefficient, indicating how agricultural productivity changed over time in each NGA between the Neolithic and the 20th century. We then use estimates of historical yield in each NGA to translate the Relative Yield Coefficient into an Estimated Yield (tonnes per hectare per year) trajectory. We tested the proposed methodology in two ways. For eight NGAs, in which we had more than one historical yield estimate, we used the earliest estimate to anchor the trajectory and compared the ensuing trajectory to the remaining estimates. We also compared the end points of the estimated NGA trajectories to the earliest (the 1960s decade) FAO data on crop productivities in the modern countries encompassing Seshat NGAs. We discuss the benefits of this methodology over previous efforts to estimate agricultural productivities in world history.

Global trade in the Anthropocene: A review of trends and direction of environmental factor flows during the Great Acceleration

Global trade is a neglected topic in debates on the Anthropocene, but plays an implicit role in several suggested definitions of it. Trade’s role in shifting environmental burdens around the globe differed substantially between the Columbian Exchange (1492−1800), the Industrial Revolution (~1800−1950) and the Great Acceleration (post-1950). However, this systematic state-of-the-art review shows that the more than 350 global studies of trade-embedded environmental factors all centre on the Great Acceleration. An underlying concern here is whether environmental factor flows are to the economic and/or environmental benefit of all, a case of the rich exploiting the poor, or merely the inadvertent consequence of differences in environmental efficiency. We point out similarities in the trends and direction of flows between major world regions and between developed and developing countries. Factors such as land, virtual water, HANPP and eutrophying pollutants that are related to the organic economy (or direct biomass flows), primarily flow from regions where population density is low to where it is high, and are only secondarily affected by affluence. Indicators such as energy, airborne pollutant emissions and greenhouse gasses that are related to the mineral economy (fossil fuel, metal and mineral use) tend to flow from developing to developed countries, and are explained either by higher consumption rates or greater environmental efficiency in affluent countries, which has similar consequences for net flows. We weave the shifting trends and directions of flows during the Great Acceleration into a coherent story. Finally, returning to the period before the Great Acceleration, we argue the need for global studies of trade-embedded factor flows before 1950 to test ideas on the character and origins of the Anthropocene, and to accomplish this suggest either geographically extending quantitative long-term national and/or commodity studies, or environmentally extending recently compiled global monetary bilateral trade data for the pre-1950 period.

Worldwide Diagnostic Reference Levels for Single-Photon Emission Computed Tomography Myocardial Perfusion Imaging: Findings From INCAPS

ObjectivesThis study sought to establish worldwide and regional diagnostic reference levels (DRLs) and achievable administered activities (AAAs) for single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI). BackgroundReference levels serve as radiation dose benchmarks to compare individual laboratories against aggregated data, helping to identify sites in greatest need of dose reduction interventions. DRLs for SPECT MPI have previously been derived from national or regional registries. To date there have been no multiregional reports of DRLs for SPECT MPI from a single standardized dataset. MethodsData were submitted voluntarily to the INCAPS (International Atomic Energy Agency Nuclear Cardiology Protocols Study), a cross-sectional, multinational registry of MPI protocols. A total of 7,103 studies were included. DRLs and AAAs were calculated by protocol for each world region and for aggregated worldwide data. ResultsThe aggregated worldwide DRLs for rest-stress or stress-rest studies employing technetium Tc 99m–labeled radiopharmaceuticals were 11.2 mCi (first dose) and 32.0 mCi (second dose) for 1-day protocols, and 23.0 mCi (first dose) and 24.0 mCi (second dose) for multiday protocols. Corresponding AAAs were 10.1 mCi (first dose) and 28.0 mCi (second dose) for 1-day protocols, and 17.8 mCi (first dose) and 18.7 mCi (second dose) for multiday protocols. For stress-only technetium Tc 99m studies, the worldwide DRL and AAA were 18.0 mCi and 12.5 mCi, respectively. Stress-first imaging was used in 26% to 92% of regional studies except in North America where it was used in just 7% of cases. Significant differences in DRLs and AAAs were observed between regions. ConclusionsThis study reports reference levels for SPECT MPI for each major world region from one of the largest international registries of clinical MPI studies. Regional DRLs may be useful in establishing or revising guidelines or simply comparing individual laboratory protocols to regional trends. Organizations should continue to focus on establishing standardized reporting methods to improve the validity and comparability of regional DRLs.

Analysis of Attained Height and Diabetes Among 554,122 Adults Across 25 Low- and Middle-Income Countries.

The prevalence of type 2 diabetes is rising rapidly in low-income and middle-income countries (LMICs), but the factors driving this rapid increase are not well understood. Adult height, in particular shorter height, has been suggested to contribute to the pathophysiology and epidemiology of diabetes and may inform how adverse environmental conditions in early life affect diabetes risk. We therefore systematically analyzed the association of adult height and diabetes across LMICs, where such conditions are prominent. We pooled individual-level data from nationally representative surveys in LMICs that included anthropometric measurements and diabetes biomarkers. We calculated odds ratios (ORs) for the relationship between attained adult height and diabetes using multilevel mixed-effects logistic regression models. We estimated ORs for the pooled sample, major world regions, and individual countries, in addition to stratifying all analyses by sex. We examined heterogeneity by individual-level characteristics. Our sample included 554,122 individuals across 25 population-based surveys. Average height was 161.7 cm (95% CI 161.2-162.3), and the crude prevalence of diabetes was 7.5% (95% CI 6.9-8.2). We found no relationship between adult height and diabetes across LMICs globally or in most world regions. When stratifying our sample by country and sex, we found an inverse association between adult height and diabetes in 5% of analyses (2 out of 50). Results were robust to alternative model specifications. Adult height is not associated with diabetes across LMICs. Environmental factors in early life reflected in attained adult height likely differ from those predisposing individuals for diabetes.

Projecting global and regional outlooks for planted forests under the shared socio-economic pathways

There is rising global interest in growing more trees in order to meet growing population, climate change, and wood energy needs. Using recently published data on planted forests by country, we estimated relationships between per capita income and planted forest area that are useful for understanding prospective planted forest area futures through 2100 under various United Nations Intergovernmental Panel on Climate Change-inspired Shared Socio-economic Pathways (SSPs). Under all SSPs, projections indicate increasing global planted forest area trends for the next three to four decades and declining trends thereafter, commensurate with the quadratic functions employed. Our projections indicate somewhat less total future planted forest area than prior linear forecasts. Compared to 293 million ha (Mha) of planted forests globally in 2015, SSP5 (a vision of a wealthier world) projects the largest increase (to 334 Mha, a 14% gain) by 2055, followed by SSP2 (a continuation of historical socio-economic trends, to 327 Mha, or an 11% gain), and SSP3 (a vision of a poorer world, to 319 Mha, a 9% gain). The projected trends for major world regions differ from global trends, consistent with differing socio-economic development trajectories in those regions. Our projections based on empirical FAO data for the past 25 years, as well as those by other researchers, suggest that achieving the much more ambitious global planted forest targets proposed recently will require exceptional forest land and investment supply shifts.

Women's employment and fertility in a global perspective (1960-2015).

BACKGROUNDScant research explores the association between women’s employment and fertility on a truly global scale due to limited cross-national comparative standardized information across contexts.METHODSThis paper compiles a unique dataset that combines nationally representative country-level data on women’s wage employment from the International Labor Organization with fertility and reproductive health measures from the United Nations and additional information from UNESCO, OECD, and the World Bank. This dataset is used to explore the linear association between women’s employment and fertility/reproductive health around the world between 1960 and 2015.RESULTSWomen’s wage employment is negatively correlated with total fertility rates and unmet need for family planning and positively correlated with modern contraceptive use in every major world region. Nonetheless, evidence suggests that these findings hold for nonagricultural employment only.CONTRIBUTIONOur analysis documents the linear association between women’s employment and fertility on a global scale and widens the discussion to include reproductive health outcomes as well. Better understanding of these empirical associations on a global scale is important for understanding the mechanisms behind global fertility change.

Gender inclusivity and equity in academic libraries: Insights from around the globe

In order to draw attention to and learn about gender inclusivity and equity in the academic library workplace in a fluid non-binary gendered society, academic librarians and researchers from major world regions were invited to respond to the question: What are the three most significant issues that are impeding and the three most significant issues that are enhancing gender inclusivity/equity in your region? The regions included are Africa, Asia and Oceania, Europe, Latin American and the Caribbean, the Middle East, and North America.We chose to focus on gender as the understanding of the concept is evolving and gender has classified people in such a way to limit or deny opportunities and equal treatment. Gender has been used to reference three dimensions that include the physical (characteristics of the human body), identity (the internal sense of self, which has traditionally been categorized as binary [e.g., feminine, masculine] and now as nonbinary or ungendered), and sociocultural (how one presents oneself socially or culturally, conformity to gendered roles and expectations).

School anxiety and depression among immigrant youth in America: Differences by region of birth and language proficiency

AbstractThis study sought to examine school anxiety and depression by parents’ immigrant status and identify differences by region of birth and language proficiency. Data were used from the Early Childhood Longitudinal Study‐Kindergarten Cohort, a nationally representative and longitudinal study of students in the United States. The analytic sample included 6,156 youth. Linear regression models predicted school anxiety and depression of American eighth grade students from English proficiency and parents’ region of birth. Controlling for demographic covariates, there was no significant difference in school anxiety or depression between youth with American‐born parents and those with parents born in any major world region. With the inclusion of an interaction between language proficiency and region of birth, children with limited English proficiency from Europe (B = 2.86, 95% CI = 2.16, 3.55), Central America (B = 1.52, 95% CI = 0.73, 2.31), Asia (B = 1.48, 95% CI = 0.55, 2.40), and South America (B = 0.85, 95% CI = 0.08, 1.61) had significantly heightened school anxiety compared to native‐English speakers with native‐born parents. When considering sources of school anxiety, it was revealed that over 60% of these youth worried about doing well in school. Future research should explore interventions to increase English proficiency and ease school‐related stress among children of immigrants.