Socioeconomic development and life expectancy relationship: evidence from the EU accession candidate countries

A systematic review and meta-analysis of the prevalence of Parkinson's disease in lower to upper-middle-income countries

Parkinson's disease (PD) is a common neurodegenerative disease that is a growing public health challenge. Estimates of the burden of PD have focused on data from high-income countries, with lower-income countries poorly described. We reviewed and examined the prevalence of PD reported by studies in low- to upper-middle-income countries. A systematic literature search was performed in the Medline/PubMed, Embase, LILACS, and Web of Science databases. Age group, sex, and geographic region were considered when analyzing the data. Of the 4327 assessed articles, 57 met the inclusion criteria for qualitative review, and 36 were included in the meta-analysis. Heterogeneity measures were high both as a whole and in each geographic region. Data analysis by geographic region showed that reported prevalence differed across regions, ranging from 49 per 100,000 (Sub-Saharan Africa) to 1081 per 100,000 (Latin America and the Caribbean). There was an increasing prevalence of PD with advancing age (per 100,000): 7 in 40-49 years, 158 in 50-59 years, 603 in 60-69 years, 1251 in 70-79 years, and 2181 in over the age of 80. The prevalence of PD in men and women was similar. There was a greater PD prevalence in populations with a higher 5-year GDP per capita and a higher life expectancy. Our findings suggest a higher prevalence of PD in lower and upper-middle-income countries than previously reported. Comparisons between regions are difficult, as the sociocultural differences and lack of methodological standardization hinder understanding key epidemiological data in varied populations.

Impact of education and income inequalities on life expectancy: insights from the new EU members

Life expectancy is one of the primary population health indicators and in turn increases in life expectancy indicate improvements in population health and human welfare. Therefore, one of the ultimate goals of the countries is to increase the life expectancy. This article studies the effect of education and income inequalities, ICT indicators, CO2 emissions, and real GDP per capita on life expectancy in the new EU members for the period of 2010-2022 by employing fixed effects regression. The coefficients of panel regression uncover that education and income inequalities and CO2 emissions negatively impact life expectancy, but ICT indicators of internet usage and mobile cellular subscriptions and real GDP per capita positively affects the life expectancy. The findings of the panel regression analysis indicate that public policies to decrease the inequalities in education and income will make a contribution to life expectancy.

Examining the dynamics between economic development, tourism, renewable energy and life expectancy in the Nordic economies

As the world struggles with pressing issues like climate change and sustainable development, affecting health outcomes and environmental quality, the Nordic regionsare at the forefront of major global challenges. This paper investigates the role of human capital, renewable energy use, tourism, natural resources, and economic growth in shaping life in the Nordic region i.e., Denmark, Norway, Sweden, Finland, and Iceland).Utilizing panel data spanning from 1990 to 2020, the Driscoll and Kraay standard error (DSK) technique is employed to analyze this intricate interplay. The study reveals that in the Nordic context, sustainable economic growth, bolstered by investments in human capital and the widespread acceptance of renewable energy sources, has been positively associated with increased life expectancies. Furthermore, prudent management of natural resources has helped mitigate adverse health effects related to depletion, maintaining environmental and public health standards. The thriving tourism industry has also been shown to influence lifespan in this region positively. On the contrary, the empirical finding contended that an adverse correlation exists between carbon emissions and LEX. This research underscores the importance of a comprehensive and balanced approach that considers economic development, sustainable development, and public health in pursuing longer and healthier lives, providing valuable insights for policymakers and regions seeking to replicate these positive outcomes.The findings of this study are both conceptually reliable and empirically robust, providing important insights for the formulation of environmental and health policy.

Social and Economic Determinants of Life Expectancy at Birth in Eastern Europe

Life expectancy at birth is considered a parameter of the social development, health system, or economic development of a country. We aimed to investigate the effects of GDP per capita (as the economic factor), health care expenditure, the number of medical doctors (as social factors), and CO2 emissions (as the environmental factor) on life expectancy. We used panel data analysis for 13 Eastern European countries over the 2000-2020 period. After performing the analysis, we used a cross-country fixed-effects panel (GLS with SUR weights). According to our model, a one percent increase in health expenditure (as % of GDP) increases life expectancy at birth by 0.376 years, whereas each additional medical doctor per 10,000 inhabitants increases life expectancy at birth by 0.088 years on average. At the same time, each additional 10,000 USD per capita each year would increase life expectancy at birth by 1.8 years on average. If CO2 emissions increase by 1 metric ton per capita, life expectancy at birth would decrease by 0.24 years, suggesting that higher carbon emissions are capable of reducing longevity. Every European country has to make special efforts to increase the life expectancy of its inhabitants by applying economic and health policies focused on the well-being of the population.

Unveiling the health consequences of air pollution in the world's most polluted nations

Air pollution poses a persuasive threat to global health, demonstrating widespread detrimental effects on populations worldwide. Exposure to pollutants, notably particulate matter with a diameter of 2.5 µm (PM2.5), has been unequivocally linked to a spectrum of adverse health outcomes. A nuanced understanding of the relationship between them is crucial for implementing effective policies. This study employs a comprehensive investigation, utilizing the extended health production function framework alongside the system generalized method of moments (SGMM) technique, to scrutinize the interplay between air pollution and health outcomes. Focusing on a panel of the top twenty polluted nations from 2000 to 2021, the findings yield substantial insights. Notably, PM2.5 concentration emerges as a significant factor, correlating with a reduction in life expectancy by 3.69 years and an increase in infant mortality rates by 0.294%. Urbanization is found to increase life expectancy by 0.083 years while concurrently decreasing infant mortality rates by 0.00022%. An increase in real per capita gross domestic product corresponds with an improvement in life expectancy by 0.21 years and a decrease in infant mortality rates by 0.00065%. Similarly, an elevated school enrollment rate is associated with a rise in life expectancy by 0.17 years and a decline in infant mortality rates by 0.00032%. However, a higher population growth rate is found to modestly decrease life expectancy by 0.019 years and slightly elevate infant mortality rates by 0.000016%. The analysis reveals that per capita greenhouse gas emissions exert a negative impact, diminishing life expectancy by 0.486 years and elevating infant mortality rates by 0.00061%, while per capita energy consumption marginally reduces life expectancy by 0.026 years and increases infant mortality rates by 0.00004%. Additionally, economic volatility shock presents a notable decrement in life expectancy by 0.041 years and an increase in infant mortality rates by 0.000045%, with inflationary shock further exacerbating adverse health outcomes by lowering life expectancy by 0.70 years and elevating infant mortality rates by 0.00025%. Moreover, the study scrutinizes the role of institutional quality, revealing a constructive impact on health outcomes. Specifically, the institutional quality index is associated with an increase in life expectancy by 0.66% and a decrease in infant mortality rates by 0.0006%. Extending the analysis to examine the nuanced dimensions of institutional quality, the findings discern that economic institutions wield a notably stronger positive influence on health outcomes compared to political and institutional governance indices. Finally, the results underscore the pivotal moderating role of institutional quality in mitigating the deleterious impact of PM2.5 concentration on health outcomes, counterbalancing the influence of external shocks, and improving the relationships between explanatory variables and health outcome indicators. These findings offer critical insights for guiding evidence-based policy implications, with a focus on fostering resilient, sustainable, and health-conscious societies.

Patient-physician communication on herbal medicine use during pregnancy: a systematic review and meta-analysis

INTRODUCTION

Lack of transparent communication between patients and physicians regarding the use of herbal medicine (HM) presents a major public health challenge, as inappropriate HM use poses health risks. Considering the widespread use of HM and the risk of adverse events, it is crucial for pregnant women to openly discuss their HM use with healthcare providers. Therefore, this systematic review and meta-analysis aims to estimate the pooled prevalence of pregnant women's HM use and disclosure to healthcare providers and to examine the relationship between HM disclosure and various maternal and child health (MCH) measures.

METHODS

A systematic search of five databases was conducted for cross-sectional studies on HM use during pregnancy published from 2000 to 2023. Data extraction followed a standardised approach, and Stata V.16.0 was used for data analysis. Also, Spearman's correlation coefficient was calculated to examine the association between use and disclosure of HM and various MCH indicators.

RESULTS

This review included 111 studies across 51 countries on the use of HM among pregnant women. Our findings showed that 34.4% of women used HM during pregnancy, driven by the perception that HM is presumably safer and more natural than conventional medical therapies. However, only 27.9% of the HM users disclosed their use to healthcare providers because they considered HM as harmless and were not prompted by the healthcare providers to discuss their self-care practices. Furthermore, a significant correlation was observed between HM disclosure and improved MCH outcomes.

CONCLUSION

Inadequate communication between pregnant women and physicians on HM use highlights a deficiency in the quality of care that may be associated with unfavourable maternal outcomes. Thus, physician engagement in effective and unbiased communication about HM during antenatal care, along with evidence-based guidance on HM use, can help mitigate the potential risks associated with inappropriate HM use.

A better integration of health and economic impact assessments of climate change

Climate change could lead to high economic burden for individuals (i.e. low income and high prices). While economic conditions are important determinants of climate change vulnerability, environmental epidemiological studies focus primarily on the direct impact of temperature on morbidity and mortality without accounting for climate-induced impacts on the economy. More integrated approaches are needed to provide comprehensive assessments of climate-induced direct and indirect impacts on health. This paper provides some perspectives on how epidemiological and economic impact assessments could be better integrated. We argue that accounting for the economic repercussions of climate change on people's health and, vice versa, the consequences of health effects on the economy could provide more realistic scenario projections and could be more useful for adaptation policy.

Nitrogen Removal from Landfill Leachate Using Biochar Derived from Wheat Straw

Landfill leachate (LLCH) disposal poses challenges due to high pollutant concentrations. This study investigates the use of biochar (BC) derived from wheat straw for nitrogen content reduction. Laboratory experiments evaluated BC's adsorption capacity (qm) for nitrogen removal from ammonium chloride solution (NH4Cl) and LLCH, along with testing isotherm models. The results demonstrated that BC was more efficient (95.08%) than commercial activated carbon AC (93.11%), the blank, in adsorbing nitrogen from NH4Cl. This superior performance of BC may be attributed to its higher carbon content (57.74%) observed through elemental analysis. Lower results for BC/LLCH may be due to LLCH's complex chemical matrix. The Langmuir isotherm model best described BC/NH4Cl adsorption (qm = 0.5738 mg/g). The AC/NH4Cl data also fitted into the Langmuir (R2 ˃ 0.9) with a qm of 0.9469 mg/g, and 26.667 mg/g (R2 ˂ 0.9) was obtained for BC/LLCH; the BC/LLCH also gave higher qm (R2 ˃ 0.9) using the Jovanovich model (which also follows Langmuir's assumptions). The mean energy of the adsorption values estimated for the AC/NH4Cl, BC/NH4Cl, and BC/LLCH processes were 353.55, 353.55, and 223.61 kJ/mol, respectively, suggesting that they are all chemisorption processes and ion exchange influenced their adsorption processes. The Freundlich constant (1/n) value suggests average adsorption for BC/LLCH. The BC/LLCH data followed the Harkins-Jura model (R2: 0.9992), suggesting multilayered adsorption (or mesopore filling). In conclusion, biochar derived from wheat straw shows promising potential for landfill leachate remediation, offering efficient nitrogen removal capabilities and demonstrating compatibility with various adsorption models. This research also lays the groundwork for further exploration of other biochar-based materials in addressing environmental challenges associated with landfill leachate contamination.

The influence of the Great Recession on perinatal health-an ecological study on the trend changes and regional differences in Portugal

Background

Few studies examine the relationship between socioeconomic factors and trends in mortality in high-income European countries. Due to the lack of regional-level data, most recent studies on social inequality in Portugal do not investigate regional differences. This study analyses time trends and regional disparities in the evolution of perinatal mortality (PMR) and infant mortality (IMR) associated with demographic and socioeconomic indicators following Portugal's 2008 economic and financial crisis.

Methods

Associations were assessed using generalised linear models. A Poisson joinpoint regression model was applied to identify relevant PMR and IMR changes between 2000 and 2018. Country regional disparities were analysed using Mixed Effect Multilevel models.

Findings

IMR and PMR significantly decreased in the pre-crisis period but not in the post-crisis period. The significant differences between regions in IMR and PMR in 2000 were followed by a different evolution of regional IMR after 2008. PMR and IMR were not significantly associated with socioeconomic indicators. A significant positive association with maternal age at first birth was identified.

Interpretation

Results confirm the influence of the crisis on PMR and IMR trends in Portugal, taking into account recurring associations between macroeconomic cycles, variations in mortality trends, macroeconomic volatility, and stagnation of IMR and PMR. Regional inequalities confirm the internal variability of the crisis influence and persistent spatial inequalities affecting IMR patterns.

Funding

FCT, under the Institute of Public Health of the University of Porto (ISPUP)-EPIUnit (UIDB/04750/2020) and ITR (LA/P/0064/2020), Maastricht University's external PhD programme under the Care and Public Health Research Institute (CAPHRI), and the RECAP preterm project (grant agreement no 733280).

The impact of financial development, health expenditure, CO2 emissions, institutional quality, and energy Mix on life expectancy in Eastern Europe: CS-ARDL and quantile regression Approaches

In recent years, the interrelationships between the environment, energy, and health have received a growing amount of attention due to their substantial impact on the health of humans. By examining what influences Eastern Europeans' longevity between 1990 and 2021, this study hopes to contribute to this field of study. Energy consumption, health expenditure, pollution, institutional quality index (IQI), financial development, and other attributes profoundly impact human health. Because of the extensive network of commerce, tourism, education, religion, and treaties connecting East European countries, tests for cross-sectional dependence (CSD) and slope heterogeneity (SH) are utilized. After verifying the CSD and SH issues, the study uses the second generation's unit root and cointegration tests. As the previous test indicates, a new panel method, the cross-sectional autoregressive distributive lag (CS-ARDL) model, is required, as conventional estimations are inappropriate. The Quantile Regression (QR) method is also applied to check robustness. This study indicated that increased health expenditure, renewable energy consumption, and IQI improves health outcomes in Eastern European nations. There was a good connection between renewable energy consumption and health benefits, the study concluded. Though financial development positively impacts life expectancy, the impact is insignificant. On the other hand, the study also shows that CO2 emissions and fossil fuel consumption decrease life expectancy. These results are consistent with those obtained using the QR method. To enhance health outcomes, it is necessary to take measures to raise health spending, increase the use of renewable energy, and foster financial development over the long term. On the other hand, Eastern European nations need to shift their attention from fossil fuels to renewable energy.

Renewable energy, technological innovation, carbon emission, and life expectancy nexus: experience from the NAFTA economies

One essential component that reflects the development of society and the economy of most countries is life expectancy (LEXP). Nevertheless, LEXP can be influenced by varying factors, including socioeconomic and medical factors. Therefore, this analysis's focal point and motivation is to explore how socioeconomic factors such as economic growth, technological innovation, carbon emission, human capital, and renewable energy affect LEXP. The study utilized panel data from 1990 to 2020 from the North American Free Trade Agreement (NAFTA), which consists of the USA, Mexico, and Canada. The initial test confirmed that the research series were stationary and cointegrated. Therefore, the research applied the cross-sectional autoregressive distributed lag (CS-ARDL) model to predict the paper's short- and long-term estimates. The empirical estimated model concluded that human capital, renewable energy, technological innovation, and economic growth boost life expectancy. Contrarily, the outcome espoused that carbon emission has an inverse association with LEXP. The causality test confirmed a unidirectional interaction between human capital, economic growth, technological innovation, and life expectancy. On the other hand, there is a bidirectional connection between carbon emission, renewable energy, and life expectancy. The research suggests that stakeholders and policy-makers strengthen and enforce air quality standards to reduce pollution from industrial emissions and vehicle exhaust and encourage using cleaner technologies to promote LEXP. The research outcome is empirically and theoretically consistent, providing an essential breakthrough for environment-health-energy and economic development policies.

Identifying regional disparities of infant mortality rates in Bangladesh: insights from nationwide cross-sectional studies and a statistical modelling approach using linear mixed effects model with temporal variability

OBJECTIVE

The major objective of this project is to find the best suitable model for district-wise infant mortality rate (IMR) data of Bangladesh over the period 2014-2020 that captures the regional variability and overtime variability of the data.

DESIGN, SETTING AND PARTICIPANTS

Data from seven consecutive cross-sectional surveys that were conducted in Bangladesh between 2014 and 2020 as a part of the Sample Vital Registration System (SVRS) were used in this study. The study included a total of 13 173 (with 390 infant deaths), 17 675 (with 512 infant deaths), 17 965 (with 501 infant deaths), 23 205 (with 556 infant deaths), 23 094 (with 498 infant deaths), 23 090 (with 497 infant deaths) and 23 297 (with 495 infant deaths) complete cases from SVRS datasets for each respective year.

METHOD

A linear mixed effects model (LMM) with a quadratic trend over time in the fixed effects part and a nested random intercept, as well as a nested random slope for a linear trend over time in the part of the random effect, was implemented to describe the situation. This model was selected based on two popular selection criteria: Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC).

RESULTS

The LMMs analysis results demonstrated statistically significant variations in IMR across different districts and over time. Examining the district-specific area under the logarithm of the IMR curves yielded valuable insights into the disparities in IMR among different districts and regions. Furthermore, a significant inverse relationship was observed between IMR and life expectancy at birth, underscoring the significance of mitigating IMR as a means to enhance population health outcomes.

CONCLUSION

This study accentuates district-wise and temporal variability when modelling IMR data and highlights regional heterogeneity in infant mortality rates in Bangladesh. Area-based programmes should be created for mothers residing in locations with a higher risk of IMR. Further research can examine socioeconomic elements generating these discrepancies.

Comparing Life Expectancy Determinants between Saudi Arabia and United Arab Emirates from 1980-2020

Despite marked advancements, life expectancy (LE) growth in Saudi Arabia and the United Arab Emirates (UAE) has remained stagnant compared to other developed nations. This study aims to investigate the significant correlation between macroeconomic (ME), sociodemographic (SD), and health status and resources (HSR) factors and LE to formulate an explanatory model for Saudi Arabia and the UAE-a previously unexplored area. Utilizing an ecological, retrospective, time-series study design, we delved into secondary data on SD, ME, and HSR factors and LE of the populations of the UAE and Saudi Arabia spanning three decades (1980-2020). We employed partial least squares-structural equation modeling for statistical analysis. Our analysis revealed significant direct impacts of HSR factors on LE for Saudi Arabia (β = 0.958, p < 0.001) and the UAE (β = 0.716, p < 0.001). Furthermore, we discerned a notable indirect influence of ME factors on LE, mediated through SD and HSR factors for Saudi Arabia (β = 0.507, p < 0.001) and the UAE (β = 0.509, p < 0.001), along with a considerable indirect effect of SD factors on LE through HSR (Saudi: β = 0.529, p < 0.001; UAE: β = 0.711, p < 0.001). This study underscores the mediating role of a nexus of ME-SD-HSR factors on LE in Saudi Arabia and the UAE. Consequently, these findings signal an imperative need for holistic policy interventions addressing ME, SD, and HSR factors, aiming to alter health behaviors and improve LE projections for Saudi Arabia and the UAE in the long run.

Ecological Footprint and Population Health Outcomes: Evidence from E7 Countries

This study investigates the relationship between ecological footprint and health outcomes in E7 countries from 1990 to 2017. This study makes use of panel fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS) models to assess the relationship between the ecological footprint and health outcomes. Although the findings show that ecological footprint has a positive effect on life expectancy, implying that the current levels of ecological footprints support life expectancy, failure to strictly observe the level of ecological footprint, in the long run, may result in a negative impact on life expectancy. Therefore, more serious efforts and strategies are needed to keep the size of ecological footprints to be favorable to human life.

Social Reactions and Trauma Symptoms Among Gender and Sexual Minority Students Disclosing Sexual Violence

Addressing the higher rates of sexual violence experienced by gender and sexual minority students in university contexts requires an understanding of responses to disclosures of sexual violence. Using data from a large-scale study of sexual violence in university contexts, the current study examined (1) whether gender and sexual minority status was associated with responses to sexual violence disclosure and (2) how disclosure responses were associated with trauma symptoms among these students. Linear regression indicated that university students' (n = 1,464) reports of responses to disclosures of sexual violence did not differ across gender or sexual minority status. Focusing on gender and sexual minority participants (n = 327), linear regression linked turning against the victim and positive responses to higher levels of trauma symptoms.

Evaluating the Influences of Health Expenditure, Energy Consumption, and Environmental Pollution on Life Expectancy in Asia

This study examines the effects of health expenditure, energy consumption, CO₂ emissions, population size, and income on health outcomes in 46 Asian nations between 1997 and 2019. Cross-sectional dependence (CSD) and slope heterogeneity (SH) tests are utilized due to the close linkages between Asian nations as a result of commerce, tourism, religion, and international agreements. The research uses unit root and cointegration tests of the second generation after validating CSD and SH issues. Due to the results of the CSD and SH tests, it is clear that conventional methods of estimation are inappropriate, so a new panel method, the inter autoregressive distributive lag (CS-ARDL) model, is used instead. In addition to CS-ARDL, the study's results were checked with a common correlated effects mean group (CCEMG) method and an augmented mean group (AMG) method. According to the CS-ARDL study, higher rates of energy use and healthcare spending lead to better health outcomes for Asian countries over the long run. CO₂ emissions are shown to be harmful to human health, according to the study. The influence of a population's size on health outcomes is shown to be negative in the CS-ARDL and CCEMG, but favorable in the AMG. Only the AMG coefficient is significant. In most instances, the results of the AMG and CCEMG corroborate the results of the CS-ARDL. Among all the factors influencing life expectancy in Asian countries, healthcare spending is the most influential. Hence, to improve health outcomes, Asian countries need to take the required actions to boost health spending, energy consumption, and long-term economic growth. To achieve the best possible health outcomes, Asian countries should also reduce their CO₂ emissions.

Analysis of Worldwide Greenhouse and Carbon Monoxide Gas Emissions: Which Countries Exhibit a Special Pattern? A Closer Look via Twitter

There is significant global concern about the harmful effects of greenhouse gas and carbon monoxide emissions (deforestation, air pollution, global warming, etc.). The 2015 Paris Agreement on climate change aspires to reduce global warming by achieving a climate-neutral world. Research has been carried out to calculate and diminish the aforementioned emissions in waste, power industry, transport, building, in addition to other areas. The aim of this paper is to analyse the carbon and greenhouse gas emissions across countries around the globe in order to find patterns and correlate them to socio-economic indicators [gross national income (GNI), industrial production (IPI) and human development indexes (HDI)] as well as Twitter interactions regarding climate change. For this purpose, time series and socio-economic data have been downloaded from different repositories including EDGAR (Emissions Database for Global Atmospheric Research), World Bank and UNDP (United Nations Development Programme). Although classical clustering algorithms have already been used in the examination of some environmental issues, we use a non-parametric time series clustering method, which has been suggested in certain scientific literature as a more flexible approach, since any ad hoc parametric assumptions are required. The chosen socio-economic indicators have also demonstrated their relevance in pieces of research related to various fields. With respect to Twitter, which is one of the most popular social networks nowadays, significant analysis has also been performed on the basis of capturing citizens' perceptions on a multitude of matters. We found that several countries such as Brazil, India, China, Nigeria, Russia, United States, Spain, Andorra, Greece, and Qatar show differences in carbon and greenhouse gas emissions patterns. Besides, there does not seem to be a correlation between GNI, IPI and HDI as well as the above mentioned emissions ( correlation < 0.16 ) . Regarding Twitter interactions, a dissimilarity in the distribution of hashtags was detected between the aforementioned countries and the rest of the world. This research can help to identify countries in which more governmental measures are needed to reduce the type of emissions analysed in certain industrial sectors. In addition, it points out the topics related to climate change that seem to generate the most debate on Twitter for countries with an unusual pattern.

Supplementary Information

The online version contains supplementary material available at 10.1007/s41742-023-00510-4.

Economy and elderly population, complementary or contradictory: A cross-continental wavelet coherence and cross-country Granger causality study

The aim of this study is to explore the causal relationship between the economy and the elderly population globally as well as continent-wise. This research was designed as a continent-wide study to investigate the differences between several regions simultaneously. The economy was measured by the Gross Domestic Product (GDP) per capita growth rate while the population aged above 65 as a percentage of the total was considered the elderly population. A panel dataset published by the World Bank for a period of six decades from 1961 to 2020 covering 84 countries was used as data for the analysis. Wavelet coherence was the methodology used for the study since it was considered suitable to present causality as well as the causal direction between the two variables for different sections during the six decades. Thereafter, Granger causality was applied for a cross-country analysis to gain further insights on the causality of individual countries over the years. Findings of the study reveal that the causality and its direction have been changing over time for most continents. Negative correlations with the leading variable interchanging with time are evident for the majority of the regions. Nevertheless, results indicate that in a global perspective, elderly population predominantly leads the economic growth with a positive correlation. Research approach allows ascertaining the short-term and medium-term changes that occurred concerning the direction of the relationship throughout the stipulated period of the study, which could not be drawn by any previous study. Even though region-wise literature is available on this topic, global studies for decades have not been conducted yet.

Effects of globalization, energy consumption and ICT on health status in Australia: the role of financial development and education

Background

The outbreak of COVID-19 has alerted governments around the world, including Australia, to think seriously about the health issues. Life expectancy is one of such issues. Therefore, this study tries to reveal the effects of globalization, energy consumption, information and communication technology, financial development, education rate, and economic growth on life expectancy at birth in Australia.

Methods

Using the data period of 1990–2018, a series of econometric techniques: the Dickey-Fuller generalized least square test, Autoregressive Distributive Lag bounds test, fully modified ordinary least square method and the pairwise Granger causality test, are applied.

Results

The findings disclose that globalization, renewable energy use, information and communication technology, per capita gross domestic product, education rate, and financial development increased during this period but non-renewable energy use reduced life expectancy at birth. Unidirectional causal associations of the studied variables with life expectancy at birth are also revealed.

Conclusions

All the outcomes are relevant and useful for articulating an innovative policy in the health sector. The prime policy implication of this work is: the effective, efficient, and inclusive policies considering globalization, renewable and non-renewable energy consumption, information and communication technology, financial development, education rate, and economic growth should be formulated and executed for guaranteeing health status.

Socioeconomic, Clinical, and Molecular Features of Breast Cancer Influence Overall Survival of Latin American Women

Molecular profile of breast cancer in Latin-American women was studied in five countries: Argentina, Brazil, Chile, Mexico, and Uruguay. Data about socioeconomic characteristics, risk factors, prognostic factors, and molecular subtypes were described, and the 60-month overall cumulative survival probabilities (OS) were estimated. From 2011 to 2013, 1,300 eligible Latin-American women 18 years or older, with a diagnosis of breast cancer in clinical stage II or III, and performance status ≦̸1 were invited to participate in a prospective cohort study. Face-to-face interviews were conducted, and clinical and outcome data, including death, were extracted from medical records. Unadjusted associations were evaluated by Chi-squared and Fisher's exact tests and the OS by Kaplan-Meier method. Log-rank test was used to determine differences between cumulative probability curves. Multivariable adjustment was carried out by entering potential confounders in the Cox regression model. The OS at 60 months was 83.9%. Multivariable-adjusted death hazard differences were found for women living in Argentina (2.27), Chile (1.95), and Uruguay (2.42) compared with Mexican women, for older (≥60 years) (1.84) compared with younger (≤40 years) women, for basal-like subtype (5.8), luminal B (2.43), and HER2-enriched (2.52) compared with luminal A subtype, and for tumor clinical stages IIB (1.91), IIIA (3.54), and IIIB (3.94) compared with stage IIA women. OS was associated with country of residence, PAM50 intrinsic subtype, age, and tumor stage at diagnosis. While the latter is known to be influenced by access to care, including cancer screening, timely diagnosis and treatment, including access to more effective treatment protocols, it may also influence epigenetic changes that, potentially, impact molecular subtypes. Data derived from heretofore understudied populations with unique geographic ancestry and sociocultural experiences are critical to furthering our understanding of this complexity.

An in-depth statistical analysis of the COVID-19 pandemic's initial spread in the WHO African region

During the first wave of the COVID-19 pandemic, sub-Saharan African countries experienced comparatively lower rates of SARS-CoV-2 infections and related deaths than in other parts of the world, the reasons for which remain unclear. Yet, there was also considerable variation between countries. Here, we explored potential drivers of this variation among 46 of the 47 WHO African region Member States in a cross-sectional study. We described five indicators of early COVID-19 spread and severity for each country as of 29 November 2020: delay in detection of the first case, length of the early epidemic growth period, cumulative and peak attack rates and crude case fatality ratio (CFR). We tested the influence of 13 pre-pandemic and pandemic response predictor variables on the country-level variation in the spread and severity indicators using multivariate statistics and regression analysis. We found that wealthier African countries, with larger tourism industries and older populations, had higher peak (p<0.001) and cumulative (p<0.001) attack rates, and lower CFRs (p=0.021). More urbanised countries also had higher attack rates (p<0.001 for both indicators). Countries applying more stringent early control policies experienced greater delay in detection of the first case (p<0.001), but the initial propagation of the virus was slower in relatively wealthy, touristic African countries (p=0.023). Careful and early implementation of strict government policies were likely pivotal to delaying the initial phase of the pandemic, but did not have much impact on other indicators of spread and severity. An over-reliance on disruptive containment measures in more resource-limited contexts is neither effective nor sustainable. We thus urge decision-makers to prioritise the reduction of resource-based health disparities, and surveillance and response capacities in particular, to ensure global resilience against future threats to public health and economic stability.

Gender equality and the gender gap in life expectancy in the European Union

Introduction

Life expectancy (LE) depends on the wider determinants of health, which have different impact in women and men. Therefore, this study aimed to investigate whether gender equality was correlated with LE in women and men.

Methods

Gender equality in the 27 European Union (EU) member states between 2010 and 2019 was estimated using a modified Gender Equality Index (mGEI), based on the index developed by the European Institute for Gender Equality. The correlation between this mGEI and LE and the gender gap in LE was calculated using the Spearman correlation coefficient.

Results

Between 2010 and 2019, LE increased more for men than women, which resulted in a narrowing of the gender gap in LE in the EU. During the same period, there was an increase in gender equality, as measured by the mGEI, although with substantial heterogeneity between countries. There was a strong correlation between the mGEI and the gender gap in LE (−0.880), which was explained by a stronger correlation between the mGEI and longer LE in men than in women (0.655 vs 0.629, respectively). The domains of the mGEI most strongly associated with a narrowing of the gender gap in LE were health, money and knowledge, while power was the domain with the weakest association.

Conclusions

Gender equality appears to be at least as beneficial to men as women with regard to LE, thus reinforcing the key role gender equality plays in improving population health and longevity.

Evaluation of Existing Indexes of Sustainable Well-Being and Propositions for Improvement

The relationship between sustainability and well-being is inconclusive in the literature, with some studies showing consonance while others show dissonance. On top of differences of scale (micro or macro) and of methods, part of this conflict in narratives is due to differences in measurement. In this paper I evaluate the quality of existing indexes linking both concepts at a macro level (Happy Planet Index (first generation and second generation), Sustainable Development Goals Index, Human Sustainable Development Index, Sustainable Development Index, Gaucher’s index). Recognizing the limits of all of them and acknowledging that the current landscape of measures is over-oriented towards cognitive measures on the well-being side and ecological footprint-oriented on the environmental side, I propose some alternatives to complete the current measures and I discuss possible implications.

Assessing the impact of diversity and ageing population on health expenditure of United States

BACKGROUND

At the biological level, ageing results from a plodding decline in physical and mental capability, an emergent menace of malady, and eventually, fatality. Even though a few of the geriatric's health changes are hereditary, to a great extent is due to individual's physical and societal surroundings and their residence, locality, societies, gender, ethnicity or socio-economic status. The current debate is well popular by the relationship between increasing diversity and the ageing population with healthcare expenditure in the United States. Higher diversity in society and increasing ageing population have various socio-economic consequences. A good policy in this regard helpful to managed and get fruitful outcomes.

OBJECTIVE

This study aims to examine the direct effects of diversity and ageing population on healthcare spending. The assortment observed in geriatrics is not arbitrary. A huge portion emerges from individual's physical and social settings and the influence of these environs on their prospect and well-being demeanour.

METHOD

This study used the Bayesian-vector autoregressive model, impulse response analysis, and variance decomposition and data over the period 1990-2018 for empirical analysis of the United States.

RESULTS

The empirical findings indicate that diversity and ageing population are more persistent with health expenditure in the United States. This study concludes that an increase in diversity and ageing population will rely on the long-term healthcare facility.

CONCLUSION

The study suggests that cohesive society and effective health intervention might aid in curtailing expenditure pressure linked with elderly population. Furthermore, a recommendation of this study is a good opportunity for healthcare policymakers and further researches.

Sex, rurality and socioeconomical status in Spanish centennial population (2017)

World's population is exponentially aging as people reaching 100 years old has increased. The number of areas with the highest centennial population rates (Blue Zones), are significantly higher. Are there any determinant factors that favor this situation in Spain? The goal of this study was to determine the possible influence of sex, rurality and socioeconomic factors (Gross Domestic Product (GDP)) on the prevalence of the centennial population of the Spanish society. The Spanish register of inhabitants was published in 2017 by the National Statistics Institute.

The analysis was carried out both by Autonomous Communities and by provinces in phases: a first descriptive analysis, followed by an inferential analysis, based on statistical tests (independent T- Student test, Pearson correlation and ANOVA). There were significant interactions between: i) sex and longevity (in favor of the female population); ii) female and rural housing and iii) female, GDP and urban areas.

Feminization was proven in the longevity revolution, but, in general, GDP per Capita was not a significant survival factor on its own. This study was the first step of further analysis related to extreme longevity in Spain, which will include other dependent variables such as state of health and well-being as well as social factors.

The Field of “Public Health” as a Component of Sustainable Development—Poland Compared to the European Union

The objective of the article is to analyse selected indicators of sustainable development in the field of “public health”, especially those related to health and health-related inequalities. The article focuses on the analysis of indicators in the field of “public health” presented by Eurostat. These indicators were presented in terms of averages and medians. Moreover, the paper indicates the amount of funds allocated for prevention in health care. In addition, the cluster method was used to identify EU countries similar to each other in terms of the leading indicator of sustainable development (SD). The study was conducted using annual data for 2010–2019 for Poland as compared to other EU countries. The study used data from the Eurostat and OECD databases. In almost all of the analysed countries, in relation to the demographic and health situation, there is a close link between the financial situation, health and inequalities in health-related fields. Patients’ sense of safety has decreased in Poland, which is the result of the growing consumption of health services and emerging problems with the availability of health care services as well as environmental pollution. Among others, the percentage of people with health problems and low income has increased. Although the percentage of unmet needs resulting from income inequalities has decreased over the past year in the analysed groups of countries, it is still high in Poland. The low level of expenditure on prevention makes these difficulties even more severe. In summary, capturing changes in indicators describing public health in the context of its impact on sustainable development plays a key role in balancing out inequalities in the EU countries and in managing a common policy.

IMPORTANCE OF SOCIAL FACTORS IN HEALTH: CAUSES OF THE CAUSES

The industrial revolution in 1830 led to the urbanization resulting in creation of urban slums. More complex health problems ultimately steered the concept of public health. The social revolution during the Second World War emphasized that health could only be achieved through socioeconomic improvement. Progress in the field of social sciences rediscovered that man is a social being, not only a biological animal. Social services for the improvement of life conditions have been the major factors in reducing mortality, morbidity and improving the standard of life of an individual, family and society.