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Long-term, Global Ground Water Depletion

Science, Population and the Environment: What Is, What Could Be

The elephant in the room: Rapid population growth

MPRC Faculty Associate Klaus Hubacek demonstrates how material consumption in rich countries is fueled by pollution and environmental destruction in the developing world

Collaborative science brings together diverse stakeholders to share knowledge and form networks that in turn can be foundational to policies and practices to increase socio-ecological resilience. In this article, we present results from a collaborative science project that employed collaborative learning methods to develop a network of local, regional, state and academic stakeholders. These stakeholders had little social interaction prior to the project and represented a diversity of views, positions and responsibilities. They shared in common a concern for the effects of climate change on a coastal socio-ecological system and the desire to reduce vulnerabilities and enhance resilience. Through ethnographic and survey methods, we found that collaborative science and learning promoted the exchange of cultural and environmental knowledge and expertise among individuals who previously had no sustained interaction. Stakeholders perceived these exchanges as worthwhile in that they allowed individuals to express viewpoints and share knowledge and expertise, which was seen to have the potential to increase socio-ecological resilience. Our results suggest that social networks can emerge from collaborative science and learning projects and can become formally organized and help foster opportunities to enhance socio-ecological resilience.

The purpose of this article is to examine the relationship between environmental changes and infectious diseases and their impact on health in environmental justice (EJ) communities. The evolution of EJ science and research is contingent upon an integrated approach that takes into account social processes and environmental changes to address the burden of infectious diseases in EJ communities. We recognize that infectious disease and environmental justice is novel and calls for more research in this area, especially as the focus of public health shifts towards an ecologic and social approach to disease prevention. We attempt to explore in further detail how environmental changes such as urbanization, agriculture, and climate variability could potentially influence pathogen dynamics, vector transmission, host susceptibility, and disease outcomes among environmental justice populations.

Lack of access to a health-promoting food environment can lead to poor health outcomes including obesity which is a problem for African-Americans in Prince George’s County, Maryland. Previous research examined the quality of the food environment at the regional level but did not consider local level indicators. In this study, we utilized an environmental justice framework to examine the local food environment in the County. We collected data from 127 food outlets, (convenience stores, grocery stores, and supermarkets), in three racially and socioeconomically diverse communities – Bladensburg (predominantly African American/ Black, with the lowest median household income); Greenbelt (similar percentage of non-white persons as Hyattsville, with the highest median household income); and Hyattsville (dominated by a Hispanic population). We examined the availability, quality, and accessibility of food within each community, using a modified version of the Johns Hopkins Center for a Livable Future (CLF) healthy food availability index (HFAI).We also used ArcMap 10.6 to examine the spatial distribution of stores in relation to sociodemographic factors and generate descriptive statistics to examine HFAI score differences across the communities, sociodemographic composition, and store types at the block group level. Mean HFAI scores were 7.76, 10.75, and 9.60 for Bladensburg, Greenbelt, and Hyattsville, respectively suggesting a relative disparity in access to diverse healthy and good quality food sources for these communities although these differences were not statistically significant (p=0.79). Statistically significant differences between the communities were found with respect to ethnic stores, stores that sold fresh vegetables (p=0.047), and stores that sold fresh fruits (p=0.012). Getis-Ord Gi Hot Spot Analysis revealed one statistically significant cold spot at 95% confidence, and two others at 90% confidence in Hyattsville, indicating a cluster of low-scoring stores. The results indicate a potential need for expanded food infrastructure in these communities to improve public health. We also identified the need for culturally appropriate foods and proposed ethnic stores as potential salutogens to improve the food environment in culturally diverse neighborhoods.

Increasing number of studies have investigated the impact of maternal exposure to air pollution during pregnancy and adverse birth outcomes, particularly low birth weight (LBW, <2,500 g at birth) and preterm birth (PTB, <37 completed weeks of gestation). We performed a comprehensive review of the peer-reviewed literature and a meta-analysis to quantify the association between maternal exposure to particulate matter with aerodynamic diameter 2.5 and 10 μm (PM 2.5  and PM 10 ) during pregnancy and the risk of LBW and PTB. We identified 20 peer-reviewed articles providing quantitative estimate of exposure and outcome that met our selection criteria. There was significant heterogeneity between studies, particularly for findings related to PM 10  exposure (LBW,  I -squared 54%,  p  = 0.01; PTB,  I -squared = 73%,  p  < 0.01). Results from random-effect meta-analysis suggested a 9% increase in risk of LBW associated with a 10-μg/m 3  increase in PM 2.5  (combined odds ratios (OR), 1.09; 95% confidence interval (CI), 0.90–1.32), but our 95% CI included the null value. We estimated a 15% increase in risk of PTB for each 10-μg/m 3  increase in PM 2.5  (combined OR, 1.15; CI, 1.14–1.16). The magnitude of risk associated with PM 10  exposure was smaller (2% per 10-μg/m 3  increase) and similar in size for both LBW and PTB, neither reaching formal statistical significance. We observed no significant publication bias, with  p  > 0.05 based on both Begg's and Egger's bias tests. Our results suggest that maternal exposure to PM, particularly PM 2.5  may have adverse effect on birth outcomes. Additional mechanistic studies are needed to understand the underlying mechanisms for this association.

Ginger Zhe Jin, University of Maryland, et al.; 2013-011