Food systems affect and are affected by the interrelated crises of climate change, biodiversity loss, resource depletion and health, amongst others. Transforming to sustainable approaches is vital, yet entangled with uncertainties, complexity and a great value diversion with stakeholders. Deliberative processes such as citizen assemblies offer a valuable contribution to such a transformation, since the crises and their responses affect everyday life, and therefore inviting individual and collective action. Still, who is included and whose knowledge counts affects outcomes. Theoretically anchored in concepts of environmental justice, our study analyses three nation-wide citizens\' assemblies on climate change and food systems from Western Europe. It assesses (a) how citizens\' assemblies can incorporate a broad set of viewpoints and design more substantive political answers to current crises, and (b) whether citizens\' assemblies include environmental justice aspects to facilitate social change. The paper argues that systematic and methodologically reflected inclusion of various positionalities can inspire decision-making processes in that they incorporate procedural, recognition, and distributional justice to address problems of climate change or modern food systems. It concludes with offering further approaches to include more than scientific knowledge in deliberative processes for a just transformation towards sustainability.

UNASSIGNED: Environmental justice (EJ) seeks to correct legacies of disproportionately burdening low-income and Black, Indigenous, and people of color (BIPOC) communities with environmental hazards that contribute to health inequalities. Federal and state policies increasingly require plans to assess and incorporate EJ principles. The current lack of accessible data and plan evaluation on EJ has been a barrier to policy setting and benchmarking. We created a framework for analyzing content across a large corpus of plans by using quantitative text analysis on 461 California city general plans, also known as comprehensive plans. To verify results and identify specific policies, we conducted content analysis on a subset of seven plans. Demonstrating the broad applicability of EJ principles in planning, policies spanned all required elements of general plans: housing, circulation, land use, health, safety, open space, air quality, and noise. We found that the most headway in EJ planning has been made in cities with a majority population of color and well before the 2018 California state mandate to address EJ. Policies were primarily focused on preventing adverse exposures as opposed to correcting for legacies of inequality. Further, although all policies address vulnerable populations and places, very few specifically addressed race or racism. Thus, EJ has been largely operationalized as health equity.
UNASSIGNED: We identified 628 EJ policies focused on vulnerable populations across the seven city plans included in content analysis. The smorgasbord of policy approaches provided fodder for cities across the United States to incorporate an EJ approach to planning. Gaps in focus areas reveal room for policy innovation (e.g., emphasis on language justice, formerly incarcerated individuals, and noise ordinance policing). We invite planners and community advocates to search across California\'s plans for EJ policy inspiration, and to use the appendix of EJ policies cataloged in this research as a benchmark of city-level innovation.

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Many lands were degraded or destroyed by human activities, including contamination from industry and military facilities. The United States and other industrialized counties have legacy wastes remaining from the Second World War, the Cold War, and industrialization. There is increasing need to return degraded land to suitable future land uses, including ecological parks and preserves. This paper proposes a conceptual model of the different levels of information needed to understand the risk to human health, the environment, and ecological resources. I propose a four-part approach: 1) general model for assessing ecological resources, 2) model for assessment needed for remediation or restoration projects, 3) a sliding scale, conceptual model for causes, events, and sources that lead to exposure and risk, and 4) an additional step that includes environmental justice (equity, diversity and inclusion) as a necessary consideration of traditional exposure assessment. While the factors involved in ecological risk assessment are well established, the combination of human health, ecological health, and environmental justice determining risk for remediation or restoration projects is not. Major factors useful for human health, environmental, and ecological evaluation include causes, events (earthquakes, accidents, chemical releases), sources, exposure, and informational challenges, as well as barriers to exposure. I propose that exposure through an environmental justice (diversity, equity, and inclusion) lens should be a key component of risk assessment. Each of these factors involves a sliding scale or continuum that must be considered in evaluating risk and communicating with the regulators, resource trustees, land managers and the public. The conceptual model also serves as a template for obtaining information about the environment that will be useful for communicating the importance of different risk factors. The model was developed for consideration of remediation on Department of Energy lands, it can be applied more broadly to other projects.

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UNASSIGNED: Exposure to pesticides has been linked to adverse respiratory health outcomes in children.
UNASSIGNED: We leveraged the Children\'s Assessing Imperial Valley Respiratory Health and the Environment cohort located in the rural community of Imperial Valley near the US-Mexico border. We calculated the kilograms of total pesticides applied within 400 m of children\'s residential addresses for the years 2016-2020. Estimated pesticide usage near homes was categorized into three groups (none vs. low vs. high [split at the median]). All health variables (i.e., asthma status and wheezing) were derived from a parent-reported questionnaire on respiratory health. We used generalized linear models, controlling for child sex, the language of survey, health insurance, respondents\' highest education, and exposure to environmental secondhand smoking, to calculate prevalence differences between none versus low and high exposure to agricultural pesticides.
UNASSIGNED: Approximately 62% of the 708 children (aged 5-12 years) lived within 400 m of at least one pesticide application within 12 months prior to survey administration. Exposure to pesticides within 400 m of children\'s residences was associated with 12-month prior wheeze. Those in the \"high\" exposure group had a prevalence of wheezing that was 10 (95% confidence interval: 2%, 17%) percentage points higher than among children not exposed to pesticide applications. Associations for high exposure to specific categories of pesticide applications, sulfur only, all pesticides except sulfur, chlorpyrifos, and glyphosate, also were observed with a higher prevalence of wheezing than among children not exposed to pesticide applications.
UNASSIGNED: We observed associations between living near pesticide applications and more wheeze symptoms among children.

Mega-damming, pollution and depletion endanger rivers worldwide. Meanwhile, modernist imaginaries of ordering \'unruly waters and humans\' have become cornerstones of hydraulic-bureaucratic and capitalist development. They separate hydro/social worlds, sideline river-commons cultures, and deepen socio-environmental injustices. But myriad new water justice movements (NWJMs) proliferate: rooted, disruptive, transdisciplinary, multi-scalar coalitions that deploy alternative river-society ontologies, bridge South-North divides, and translate river-enlivening practices from local to global and vice-versa. This paper\'s framework conceptualizes \'riverhood\' to engage with NWJMs and river commoning initiatives. We suggest four interrelated ontologies, situating river socionatures as arenas of material, social and symbolic co-production: \'river-as-ecosociety\', \'river-as-territory\', \'river-as-subject\', and \'river-as-movement\'.

Littering of cigarette butts is a major environmental challenge. In 2022, ~124 billion cigarette butts were littered in the United States. This litter may pose an environmental justice concern by disproportionately affecting human and environmental health in communities of color or communities of low socioeconomic status. However, the lack of data on the distribution and magnitude of cigarette butt littering prevents an environmental justice analysis and limits the ability to tackle this environmental challenge. We conducted an environmental justice assessment of tobacco product waste, specifically cigarette butts, through spatially-explicit, place-based estimates across the contiguous U.S. We built a bottom-up model by synthesizing census tract-level population and smoking prevalence, state-level cigarette consumption, and published littering data to assess the spatial pattern of cigarette consumption and littering, and its implications for environmental injustice in >71,600 U.S. census tracts. Further, we compared the model output to urbanicity (rural-urban commuting area) and Social-Environmental Risk (SER; CDC Environmental Justice Index). Cigarette butt density was not uniformly distributed across the U.S. and ranged from 0-45.5 butts/m2, with an area-weighted average of 0.019 ± 0.0005 butts/m2. Cigarette butt density was 96 times higher in metropolitan vs. rural areas. Cigarette butt density increased significantly with SER, with 5.6 times more littered cigarette butts, and a steeper response to population density, in census tracts with the highest SER vs. the lowest SER. These results demonstrate the relative influences of location, smoking prevalence, and population density, and show that cigarette butt littering is a potential environmental justice concern in the U.S. This study provides information that may help devise targeted strategies to reduce cigarette butt pollution and prevent disproportionate impacts. The spatial data layer with place-based cigarette consumption and butt density is a tool that can support municipal, state, and federal level policy work and future studies on associations among cigarette butt pollution and environmental health outcomes.

UNASSIGNED: Previous studies have linked exposure to concentrated animal feeding operations (CAFOs) with various health outcomes. However, relatively few studies evaluated the impacts of CAFOs on adverse birth outcomes, despite significant public health concerns regarding maternal and child health.
UNASSIGNED: This cross-sectional study investigated the risk of adverse birth outcomes associated with CAFOs exposure and evaluated disparities in exposure to CAFOs and associated health outcomes.
UNASSIGNED: We obtained individual-level birth records from 2003 to 2020 from the Pennsylvania Department of Health. We considered two adverse birth outcomes: (1) preterm birth (PTB); and (2) low birth weight (LBW). Exposure was considered as a binary indicator (presence or absence of CAFO) and as categories based on level of exposure. Logistic regression was applied to estimate the association between CAFOs exposure and adverse birth outcomes. Models were adjusted for infant\'s sex, maternal demographics (age, race/ethnicity, education), prenatal BMI, prenatal care, smoking status, marital status, plurality, WIC status, and urban/rural indicator. We examined both disparities in exposure and in health response.
UNASSIGNED: Presence of CAFOs was associated with higher risk of PTB, with an increasing trend with higher levels of CAFOs exposure. Compared to the no CAFO exposure group, the odds ratios for PTB were 1.022 (95 % confidence interval 1.003, 1.043), 1.066 (1.034, 1.100), 1.069 (1.042, 1.097) for low, medium, and high CAFOs exposure groups, respectively. Some maternal characteristics were associated with a higher CAFO-related risk of PTB. Similar associations were observed for LBW for some characteristics such as mother\'s race/ethnicity, education, WIC status, and urbanicity, although some findings were not statistically significant.
UNASSIGNED: Our findings suggest that presence of CAFOs increases risk of preterm birth. Our results indicate that some maternal characteristics may be associated with higher risk of CAFO-related PTB or LBW. This study can inform future research on disparities in CAFO exposure and associated health burden.

Extreme weather events are becoming more severe due to climate change, increasing the risk of contaminant releases from hazardous sites disproportionately located in low-income communities of color. We evaluated contaminant releases during Hurricanes Rita, Ike, and Harvey in Texas and used regression models to estimate associations between neighborhood racial/ethnic composition and residential proximity to hurricane-related contaminant releases. Two-to-three times as many excess releases were reported during hurricanes compared to business-as-usual periods. Petrochemical manufacturing and refineries were responsible for most air emissions events. Multivariable models revealed sociodemographic disparities in likelihood of releases; compared to neighborhoods near regulated facilities without a release, a one-percent increase in Hispanic residents was associated with a 5 and 10% increase in the likelihood of an air emissions event downwind and within 2 km during Hurricanes Rita and Ike (odds ratio and 95% credible interval= 1.05 [1.00, 1.13], combined model) and Harvey (1.10 [1.00, 1.23]), respectively. Higher percentages of renters (1.07 [1.03, 1.11], combined Rita and Ike model) and rates of poverty (1.06 [1.01, 1.12], Harvey model) were associated with a higher likelihood of a release to land or water, while the percentage of Black residents (0.94 [0.89, 1.00], Harvey model) was associated with a slightly lower likelihood. Population density was consistently associated with a decreased likelihood of a contaminant release to air, land, or water. Our findings highlight social inequalities in the risks posed by natural-technological disasters that disproportionately impact Hispanic, renter, low-income, and rural populations.