Inequality amplifies the negative association between life expectancy and air pollution: A cross-national longitudinal study

Air Pollution Inequality in the Denver Metroplex and its Relationship to Historical Redlining

Prior studies have shown that people of color (POC) in the United States are exposed to higher levels of pollution than non-Hispanic White people. We show that the city of Denver, Colorado, displays similar race- and ethnicity-based air pollution disparities by using a combination of high-resolution satellite data, air pollution modeling, historical demographic information, and areal apportionment techniques. TROPOMI NO2 columns and modeled PM2.5 concentrations from 2019 are higher in communities subject to redlining. We calculated and compared Spearman coefficients for pollutants and race at the census tract level for every city that underwent redlining to contextualize the disparities in Denver. We find that the location of polluting infrastructure leads to higher populations of POC living near point sources, including 40% higher Hispanic and Latino populations. This influences pollution distribution, with annual average PM2.5 surface concentrations of 6.5 μg m-3 in census tracts with 0-5% Hispanic and Latino populations and 7.5 μg m-3 in census tracts with 60-65% Hispanic and Latino populations. Traffic analysis and emission inventory data show that POC are more likely to live near busy highways. Unequal spatial distribution of pollution sources and POC have allowed for pollution disparities to persist despite attempts by the city to rectify them. Finally, we identify the core causes of the pollution disparities to provide direction for remediation.

Impact of outdoor air pollution on the incidence of pertussis in China: a time-series study

BACKGROUND

The increasing number of pertussis cases worldwide over the past two decades has challenged healthcare workers, and the role of environmental factors and climate change cannot be ignored. The incidence of pertussis has increased dramatically in mainland China since 2015, developing into a serious public health problem. The association of meteorological factors on pertussis has attracted attention, but few studies have examined the impact of air pollutants on this respiratory disease.

METHODS

In this study, we analyzed the relationship between outdoor air pollution and the pertussis incidence. The study period was from January 2013 to December 2018, and monthly air pollutant data and the monthly incidence of patients in 31 provinces of China were collected. Distributed lag nonlinear model (DLNM) analysis was used to estimate the associations between six air pollutants and monthly pertussis incidence in China.

RESULTS

We found a correlation between elevated pertussis incidence and short-term high monthly CO2 and O3 exposure, with a 10 μg/m3 increase in NO2 and O3 being significantly associated with increased pertussis incidence, with RR values of 1.78 (95% CI: 1.29-2.46) and 1.51 (95% CI: 1.16-1.97) at a lag of 0 months, respectively. Moreover, PM2.5 and SO2 also played key roles in the risk of pertussis surged. These associations remain significant after adjusting for long-term trend, seasonality and collinearity.

CONCLUSIONS

Overall, these data reinforce the evidence of a link between incidence and climate identified in regional and local studies. These findings also further support the hypothesis that air pollution is responsible for the global resurgence of pertussis. Based on this we suggest that public health workers should be encouraged to consider the risks of the environment when focusing on pertussis prevention and control.

Methods in Public Health Environmental Justice Research: a Scoping Review from 2018 to 2021

PURPOSE OF REVIEW

The volume of public health environmental justice (EJ) research produced by academic institutions increased through 2022. However, the methods used for evaluating EJ in exposure science and epidemiologic studies have not been catalogued. Here, we completed a scoping review of EJ studies published in 19 environmental science and epidemiologic journals from 2018 to 2021 to summarize research types, frameworks, and methods.

RECENT FINDINGS

We identified 402 articles that included populations with health disparities as a part of EJ research question and met other inclusion criteria. Most studies (60%) evaluated EJ questions related to socioeconomic status (SES) or race/ethnicity. EJ studies took place in 69 countries, led by the US (n = 246 [61%]). Only 50% of studies explicitly described a theoretical EJ framework in the background, methods, or discussion and just 10% explicitly stated a framework in all three sections. Among exposure studies, the most common area-level exposure was air pollution (40%), whereas chemicals predominated personal exposure studies (35%). Overall, the most common method used for exposure-only EJ analyses was main effect regression modeling (50%); for epidemiologic studies the most common method was effect modification (58%), where an analysis evaluated a health disparity variable as an effect modifier. Based on the results of this scoping review, current methods in public health EJ studies could be bolstered by integrating expertise from other fields (e.g., sociology), conducting community-based participatory research and intervention studies, and using more rigorous, theory-based, and solution-oriented statistical research methods.

Income Inequality and Population Health: Examining the Role of Social Policy

Studies of the relationship between income inequality and life expectancy often speculate about the role of policy, but direct empirical research is limited. Drawing on the neo-materialist perspective, we examine whether the longitudinal association between income inequality and life expectancy is mediated and moderated by policy liberalism in U.S. states (2000-2014). More liberal policy contexts are characterized by greater efforts to regulate the economy, redistribute income, and protect vulnerable groups and lesser efforts to penalize deviant social behavior. We find that state-level income inequality is inversely associated with policy liberalism and life expectancy. The association between income inequality and life expectancy was not mediated by policy liberalism but was moderated by it. The association is attenuated in states with more liberal policy contexts, supporting the neo-materialist perspective. This finding illustrates how states like New York and California (with liberal policy contexts) can exhibit high income inequality and high life expectancy.

Exploring the Association between Oxygen Concentration and Life Expectancy in China: A Quantitative Analysis

The aim of this study was to investigate and quantify the association between oxygen concentration and life expectancy. The data from 34 provinces and 39 municipalities were included in all analyses. Bayesian regression modeling with spatial-specific random effects was used to quantify the impact of oxygen concentration (measured as partial pressure of oxygen) on life expectancy, adjusting for other potential confounding factors. We used hierarchical cluster analysis to group the provinces according to disease burden and analyzed the oxygen levels and the characteristics of causes of death between the clusters. The Bayesian regression analysis showed that the life expectancy at the provincial level increased by 0.15 (95% CI: 0.10-0.19) years, while at the municipal level, it increased by 0.17 (95% CI: 0.12-0.22) years, with each additional unit (mmHg) of oxygen concentration, after controlling for potential confounding factors. Three clusters were identified in the hierarchical cluster analysis, which were characterized by different oxygen concentrations, and the years of life lost from causes potentially related to hypoxia were statistically significantly different between the clusters. A positive correlation was found between oxygen concentration and life expectancy in China. The differences in causes of death and oxygen levels in the provincial clusters suggested that oxygen concentration may be an important factor in life expectancy when mediated by diseases that are potentially related to hypoxia.

Air pollution and life expectancy in Europe: Does investment in renewable energy matter?

This study examines the relationship between health and air pollution using a novel approach that allows differentiation between potential and observed health. It also permits an analysis of those factors that may contribute towards reducing any differences between the latter concepts. To this end, a panel data from 29 European countries for the periods 2005 and 2018 is used. Results indicate that the main pollutants affecting European countries, namely NOx, PM10 and PM2.5 have a negative impact on life expectancy at birth, while investment in renewable energies has a positive effect. Several conclusions can be drawn from these results. Firstly, if the aim is to minimize the detrimental effects of the global production of goods and services on air quality, a greater investment in renewable energies as compared to other more polluting ones, is called for. In turn, this would contribute to an improvement in the general health of citizens and the planet thereby increasing overall potential life expectancy. Secondly, NOx gases seem to be the ones that most affect the population's mean potential life expectancy. Results indicate that with regard to particulate matters, those with a diameter of less than 2.5 μm, are the ones that have the greatest impact on the health of European citizens, more so than larger particles (with a diameter between 10 and 2.5 μm).

Subsidy as An Economic Instrument for Environmental Protection: A Case of Global Fertilizer Use

Fertilizer subsidies may constitute a key economic tool with which to provide food for the growing population. Therefore, this work aimed to (i) assess the effectiveness of subsidized chemical (NPK) fertilizer use in food production by comparing the crop output between developed and developing regions and (ii) examine the benefits of organic fertilizer and the need for its use in developing regions such as Africa. Secondary data from 2000 to 2019 on global subsidized fertilizer use, crop production, income, and other agro-environmental parameters, such as climate and soil, were collected from the international databases of the World Bank, Food and Agriculture Organization (FAO), Forest Resources Assessment (FRA), National Aeronautics and Space Administration (NASA), and World Income Inequalities Database (WID), as well as countries’ national statistics. Data were analyzed using qualitative, quantitative, and geospatial software and techniques, such as SPSS, averages, multivariate analysis, and spatial analytical Geographic Information System (GIS) tools. The results reveal that the total global fertilizer use continuously increased from 79 million tonnes in 2000 to 125 million tonnes in 2019. Subsidized fertilizer use and crop production increased with countries’ economic status. For example, countries or regions with more economic resources tended to have higher fertilizer subsidies. More than 95% of North American and European countries recorded the highest total chemical fertilizer use, ranging from 855,160 to 18,224,035 kg ha−1. In terms of organic fertilizer production, the percentage contribution in Africa relative to global production was only 2%, which was about 932,538 million tonnes below the production yield in North America. More organic fertilizer and less inorganic fertilizer should be encouraged instead of the total eradication of chemical fertilizers. This is especially applicable to developing countries, where food production is low due to poor soil and high food demand owing to a harsh environment and rapid population growth.

Impact of Income Inequality on Urban Air Quality: A Game Theoretical and Empirical Study in China

Income inequality and environmental pollution are of great concern in China. It is important to better understand whether the narrowing of income inequality and environmental improvement contradict each other. The study aims to investigate the linkage between income inequality and environmental pollution. To illustrate the interplay between different income groups on environmental issues, we apply a mixed-strategy game. Based on the game-theoretic analytical result, the probability of residents supporting clean energy and environmental protection decreases as income inequality widens and increases as inequality narrows. This empirical study is based on the proportion of coal consumption and urban air pollution data from 113 key environmental protection cities and regions in China. The air quality data are from the National Environmental Air Quality Monitoring Network published in the China Statistical Yearbook from 2014–2018. Convincing results show that regions with higher income inequality suffer severe smog and related pollution and that economies with narrow income disparity experience significant improvements in smog and pollution control, with the expansion of the proportion of clean energy use. The results also provide no evidence of the impact of per capita income on pollution. We studied the relationship between individuals of different wealth levels within an economy, within a repeated-game setting. The finding suggests that the distribution of growth impacts pollution. Imposing higher taxes on air polluters while transferring the revenue to the lower-income group is suggested.