Disparities In Exposure Research Articles

Environmental Exposure Inequities Among Sexual and Gender Minority Populations in the United States: A Scoping Review

Despite growing attention and guiding frameworks, we still know very little about how environmental exposures may be contributing to the health inequities experienced by sexual and gender minority (SGM) people, especially exposures beyond psycho-behavioral mechanisms that have traditionally been viewed as the pathways between minority stress and negative health outcomes. To address this gap in knowledge, we conducted a scoping review to determine the extent to which disparities in environmental exposures between SGM and non-SGM (ie, heterosexual and cisgender) populations have been measured in the United States. We searched PubMed for studies that were (1) peer-reviewed; (2) written in English; (3) quantitatively measured environmental exposures; (4) included 1 or more groups identifying as a sexual minority, gender minority, or both; (5) compared to the general population; (6) in the United States; and (7) published on or after January 1, 2011. Our scoping review identified very few studies that examined and documented environmental exposure disparities between SGM and non-SGM populations in the United States. These studies focused mostly on cigarette smoke exposures. None examined environmental exposure disparities between gender minority and cisgender populations. To address this critical gap in environmental health research for SGM populations in the short term, researchers can merge existing environmental data (eg, data from the Environmental Protection Agency) with SGM population data. Longer-term solutions require systematically including validated sexual orientation and gender identity measures across federal, state, and local datasets, as well as increased funding for original research that explores diverse environmental exposures. Taken together, these efforts can significantly advance our ability to identify and address environmental health inequities experienced by SGM people.

Spatial, temporal, and demographic nonstationary dynamics of COVID-19 exposure among older adults in the U.S.

This study examines demographic disparities in COVID-19 exposures across older adults age 60-79 and older adults age 80 and over, and explores the factors driving these dynamics in the United States (U.S.) from January 2020 to July 2022. Spatial clusters were identified, and 14 main health determinants were synthesized from 62 pre-existing county-level variables. The study also assessed the correlation between these health determinants and COVID-19 incidence rates for both age groups during the pandemic years. Further examination of incidence rates in relation to health determinants was carried out through statistical and spatial regression models. Results show that individuals aged 80 and over had much higher hospitalization rates, death rates, and case-fatality rates in 2020-2022. Spatial results indicate that the geographical cluster of high incidence rates for both groups shifted from the Midwest at the beginning of the pandemic to the Southwest in 2022. The study revealed marked spatial, temporal, and demographic nonstationary dynamics in COVID-19 exposures, indicating that the health effects of contextual factors vary across age groups. COVID-19 incidence rates in older adults were strongly influenced by race, healthcare access, social capital, environment, household composition, and mobility. Future public health policies and mitigations should further their efforts by considering temporal and demographic nonstationarity as well as local conditions.

Characterizing the Burden of Occupational Chemical Exposures by Sociodemographic Groups in the United States, 2021.

Objectives. To estimate the number and prevalence of workers in the United States exposed to chemical hazards available in the Canadian job-exposure matrix (CANJEM) database and examine exposure disparities across sociodemographic groups. Methods. We merged US worker demographic data from the Current Population Survey with CANJEM to characterize the burden and sociodemographic distribution of 244 chemical exposures in the United States in 2021. An interactive version of the full data set is available online (https://deohs.washington.edu/us-exposure-burden). Results. Of the chemical exposures examined, the most prevalent were cleaning and antimicrobial agents (14.7% of workforce estimated exposed), engine emissions (12.8%), organic solvents (12.1%), polycyclic aromatic hydrocarbons (10.1%), and diesel engine emissions (8.3%). Racial and ethnic minoritized groups, persons with lower educational attainment, foreign-born noncitizens, and males were generally overrepresented in exposure to work-related chemical hazards. Conclusions. In the United States, marginalized sociodemographic groups are estimated to experience an inequitable burden to many chemical exposures because of occupational segregation. Data from this analysis can inform occupational and public health research, policy, and interventions aimed at reducing the burden of disease and health inequities in the United States. (Am J Public Health. 2024;114(1):57-67. https://doi.org/10.2105/AJPH.2023.307461).

Quantifying Disparities in Air Pollution Exposures across the United States Using Home and Work Addresses.

While human mobility plays a crucial role in determining ambient air pollution exposures and health risks, research to date has assessed risks on the basis of almost solely residential location. Here, we leveraged a database of ∼128-144 million workers in the United States and published ambient PM2.5 data between 2011 and 2018 to explore how incorporating information on both workplace and residential location changes our understanding of disparities in air pollution exposure. In general, we observed higher workplace exposures relative to home exposures, as well as increased exposures for nonwhite and less educated workers relative to the national average. Workplace exposure disparities were higher among racial and ethnic groups and job types than by income, education, age, and sex. Not considering workplace exposures can lead to systematic underestimations in disparities in exposure among these subpopulations. We also quantified the error in assigning workers home instead of a weighted home-and-work exposure. We observed that biases in associations between PM2.5 and health impacts by using home instead of home-and-work exposure were the highest among urban, younger populations.

TOBACCO IN HOTELS: A STUDY OF NICOTINE EXPOSURE AND RESIDENT RISK

Abstract Secondhand smoke (SHS) exposure exacts considerable health and financial impact on thousands of Americans yearly. One in four nonsmokers (about 58 million people) is routinely exposed to SHS, primarily at home. There is wide variability in smoke-free home policy adoption, leading to sociodemographic disparities in tobacco exposure and adverse health effects among low-income renters. Although there is no safe level of tobacco smoke exposure, varying perceptions about exposure effects and risks contribute to inconsistent use of harm-reduction strategies such as smoke-free home policies in private dwellings. Therefore, we surveyed and interviewed low-income extended-stay hotel renters (n=77) to learn about their perceptions of tobacco exposure. We also measured participants’ willingness to self-monitor these risks and adopt at-home smoke-free interventions. Most survey participants identified as nonsmokers (56.8%) exposed to tobacco smoke regularly. However, both nonsmokers and smokers preferred smoke-free rooms and indicated they would likely participate in personal health research by sharing air and biosamples to measure their exposure. We will present survey results of tobacco exposure knowledge and attitudes among long-term renters in Metropolitan Atlanta extended-stay hotels, perceptions of exposure risk, and self-efficacy beliefs. From our interview findings, we share renter and hotel manager readiness perceptions for implementing at-home smoke-free interventions. Lastly, we will share the results of integrating community-engaged partnerships with local organizations and respondent-driven sampling methods to build trust and aid renter recruitment.

Prenatal Exposure to Tobacco and Cannabis in Six Race/Ethnicity Groups during the First Three Years after Legalization of Cannabis for Recreational Use in California.

There are known health concerns linked to prenatal tobacco and cannabis exposures. This study aims to objectively determine the level of exposure to tobacco and cannabis in pregnant individuals from six race/ethnicity groups (Black, Hispanic, Asian Indian, Native American, Vietnamese, and White) in the first three years following legalization of recreational marijuana use in 2018 in California. We used a cross-sectional sample of prenatal screening program participants (2018-2020) from southern and central California (N = 925). Exposures were estimated by a lab analysis of cotinine (tobacco) and 11-hydroxy-Δ9-tetrahydrocannabinol (OH-THC, cannabis) in banked serum. Disparities in tobacco exposure were evident, with Black subjects experiencing the highest smoking rate (16%) followed by Native American (10%) and White (8%) subjects, and ≤2% among Hispanic, Asian Indian, and Vietnamese subjects. Environmental tobacco exposure generally showed a similar pattern of exposure to tobacco smoking across race/ethnicity groups. Cannabis detection ranged from 5% among Hispanic subjects to 12% and 13% among White and Black subjects, respectively, and was higher among tobacco users and those exposed to environmental tobacco smoke than those with no cotinine detected. Tobacco and cannabis exposure were generally greatest in younger subjects and those with indices of a lower economic status; however, among Black subjects, cannabis exposure was greatest in older subjects and those with a higher socioeconomic status. Race/ethnicity, age, and socioeconomic factors can inform targeting of high-exposure groups for intervention.

Racial disparities in environmental exposures and SARS-CoV-2 infection rates: A detailed population-weighted analysis

The COVID-19 pandemic has cast a spotlight on the intersection of socio-economic, demographic, and environmental factors with public health, particularly in the context of SARS-CoV-2 infection rates. A gap remains in understanding how racial disparities in environmental exposure correlate with racial disparities in infection rates. This study bridges this gap by analyzing infection data for black and white populations across 1,416 counties in the contiguous United States, utilizing high-resolution land cover data and racial population maps to assess environmental exposure disparities. We found significant connections between racial disparities in environmental exposure and SARS-CoV-2 infection rates, even after accounting for population density, socio-economic status, and demographic factors. Disparities among black and white population's access to green spaces, such as non-park forests and pasture/hay areas, as well as to developed areas of varying intensities, closely mirror racial disparities in infection rates. Crucially, we found that smaller differences in environmental exposure between races are associated with smaller differences in infection rates. This relationship is most pronounced within a 400-meter radius, underscoring the critical role of proximity in the design of urban and landscape environments to promote public health equity.

Associations between maternal stressful life events and child health outcomes in indigenous and non-indigenous groups in New Zealand

ABSTRACT Exposure to stressful life events (SLE) around the time of pregnancy is associated with adverse health outcomes for mothers and children. Previous New Zealand research found Indigenous Māori women are more likely to be exposed to SLE than non-Māori, and are exposed to a higher number of SLE. The consequences of this for ethnic inequities in child health outcomes are unknown. This paper examines the relationship between patterns of maternal SLE exposure with child health and development outcomes at age 3 years, for Indigenous and non-Indigenous children. We found most children had a stressful early life environment at least sometimes, but more than a quarter of Māori children had a mother experiencing multiple SLE on all occasions measured. We found a clear association between maternal experiences of SLE and disordered child sleep and development concerns. While not able to fully assess the contribution of maternal SLE to ethnic inequities in child health outcomes, we did clearly demonstrate that more Māori children have mothers exposed to multiple SLE, and that these maternal SLE are associated with poorer child outcomes. The impacts of chronic SLE exposure need to be better understood, especially given the large ethnic disparity in chronic SLE exposure.

California’s zero-emission vehicle adoption brings air quality benefits yet equity gaps persist

Zero-emission vehicle (ZEV) adoption is a key climate mitigation tool, but its environmental justice implications remain unclear. Here, we quantify ZEV adoption at the census tract level in California from 2015 to 2020 and project it to 2035 when all new passenger vehicles sold are expected to be ZEVs. We then apply an integrated traffic model together with a dispersion model to simulate air quality changes near roads in the Greater Los Angeles. We found that per capita ZEV ownership in non-disadvantaged communities (non-DACs) as defined by the state of California is 3.8 times of that in DACs. Racial and ethnic minorities owned fewer ZEVs regardless of DAC designation. While DAC residents receive 40% more pollutant reduction than non-DACs due to intercommunity ZEV trips in 2020, they remain disproportionately exposed to higher levels of traffic-related air pollution. With more ZEVs in 2035, the exposure disparity narrows. However, to further reduce disparities, the focus must include trucks, emphasizing the need for targeted ZEV policies that address persistent pollution burdens among DAC and racial and ethnic minority residents.

Racial disparities affect the association between gestational urinary phthalate mixtures and infant genital measures.

Phthalates are ubiquitous anti-androgenic endocrine disrupting chemicals found in personal care products, medications, and many plastics. Studies have shown a racial disparity in phthalates exposure among U.S. women, which may also impact fetal development. We conducted a prospective cohort study of gestational exposure to a phthalates mixture in a racially-diverse population to determine their association with genital development. Mid-gestation (18-22 weeks) urine was collected from 152 women who self-identified as non-Hispanic Black and 158 women who self-identified as non-Hispanic White in Charleston, South Carolina between 2011 and 2014. We measured eight phthalate monoester metabolites in urine using liquid chromatography tandem-mass spectrometry. Mid-gestational penile dimensions were measured using ultrasound and anogenital distances were measured postnatally. We used Bayesian kernel machine regression to estimate the associations among the mixture of phthalate metabolites and mid-gestation penile dimensions and postnatal anogenital distance measures among singleton male (n = 179) and female (n = 131) infants, adjusted for urinary specific gravity, maternal age, body mass index, education level, cigarette smoking, and gestational age at enrollment or birth weight z-score. We found a stronger association between greater phthalates and decreased anopenile distance among infants born to women who self-identified as Black. Mono (2-ethylhexyl) phthalate (MEHP) was the driving mixture component among Black women, and monobutyl phthalate (MBP) and monoethyl phthalate (MEP) were drivers among White women. We also identified a non-linear association between phthalates and lesser ultrasound penile volume among women who self-identified as Black with monoisobutyl phthalate (MiBP) and MBP being most important. We also found an association between greater phthalates and shorter anoclitoral distance among infants born to women who self-identified as Black, with MEP and monobenzyl phthalate (MBzP) contributing most to this association. Our results suggest a disparity in the association between gestational exposure to a mixture of phthalates and fetal genital development among women who self-identified as Black compared to White.

Spatial and temporal disparities in air pollution exposure at Italian schools

Air pollution poses major threats to children’s health and learning, making exposure at school particularly critical. However, some children are more exposed than others, especially depending on the socioeconomic status of their school’s neighbourhood. In this study, we explore how exposure to air pollution varies across schools, over time and by the socioeconomic characteristics of the neighbourhood using data on approximately 23 thousand schools in Italy connected with estimates on Particulate Matter 2.5 measured in µg/m3 at a 1 × 1 km resolution from 2002 to 2018 provided by the Atmospheric Composition Analysis Group (ACAG). Moreover, we create an indicator of school socioeconomic status (SES) using fine-grained information on the real estate value made available by the Italian Observatory of Real Estate Value. Results highlight three main findings. First, air quality at the location of the schools improved over time by about 35%. Secondly, SES shows an inverted U-curve with PM2.5 suggesting schools in middle SES neighbourhoods to be exposed to the highest levels of pollution. Thirdly, SES does not show a substantive association with a decrease in air pollution over time. In conclusion, air quality has improved over time in Italy, but schools still do not comply with the World Health Organization (WHO) standards and middle SES neighbourhoods remain the most exposed to air pollution.

Investigating the neighborhood effect averaging problem (NEAP) in greenspace exposure: A study in Beijing

Urban greenspaces are pivotal in enhancing the well-being and health of city residents. Accurate assessment of an individual's exposure to these natural settings is thus crucial in urban greenspace planning. However, the dynamic nature of human mobility, which determines the amount of greenspace exposure accessed over time and space, often leads to a divergence between the actual Mobility-Based Exposure (MBE) and the traditional Residence-Based Exposure (RBE). This discrepancy, encapsulated as the neighborhood effect averaging problem (NEAP), prompted us to examine the bias introduced by such discrepancy and its association with various human-based factors. This study delves into the complex interplay among the NEAP, individual mobility patterns, and demographic characteristics with fine-resolution estimations in Beijing, aiming to provide a nuanced understanding of the NEAP's influence. Uncovering heterogeneous patterns of disparity between RBE and MBE across distinct geographical realms and sociodemographic cohorts, and how such effects are mediated by populations with diverse mobility traits, the study illuminates the prevalence and complexity of the NEAP. Younger individuals, the employed population, those with larger activity spaces, high visitation diversity, and travel frequency, and residents living in areas with significant deviations from mean RBE levels experience a more pronounced NEAP impact. These insights contribute to a holistic grasp of the NEAP and underscore the imperative of inclusive greenspace urban planning that caters to the diverse mobility patterns and disparities among residents from different demographic groups, offering invaluable guidance for policy interventions to amplify greenspace exposure and address health disparities.

Patterns and Life Course Determinants of Black–White Disparities in Biological Age Acceleration: A Decomposition Analysis

Despite the prominence of the weathering hypothesis as a mechanism underlying racialized inequities in morbidity and mortality, the life course social and economic determinants of Black–White disparities in biological aging remain inadequately understood. This study uses data from the Health and Retirement Study (n = 6,782), multivariable regression, and Kitagawa–Blinder–Oaxaca decomposition to assess Black–White disparities across three measures of biological aging: PhenoAge, Klemera–Doubal biological age, and homeostatic dysregulation. It also examines the contributions of racial differences in life course socioeconomic and stress exposures and vulnerability to those exposures to Black–White disparities in biological aging. Across the outcomes, Black individuals exhibited accelerated biological aging relative to White individuals. Decomposition analyses showed that racial differences in life course socioeconomic exposures accounted for roughly 27% to 55% of the racial disparities across the biological aging measures, and racial disparities in psychosocial stress exposure explained 7% to 11%. We found less evidence that heterogeneity in the associations between social exposures and biological aging by race contributed substantially to Black–White disparities in biological aging. Our findings offer new evidence of the role of life course social exposures in generating disparities in biological aging, with implications for understanding age patterns of morbidity and mortality risks.

Abstract A040: Examining the geographical distribution of a colorectal cancer awareness community outreach program

Abstract Background: Colorectal cancer (CRC) is a significant health issue in the United States, ranking as the third most diagnosed cancer and the second leading cause of cancer-related deaths. The incidence of CRC varies across the east coast of the United States due to multiple factors, including disparities in lifestyle, healthcare accessibility, and environmental exposures. Community-based participatory research plays a vital role in identifying effective interventions to enhance awareness of cancer risk and prevention in specific communities. Methods: This study focused on Asian Americans, Blacks, and Hispanics residing in the Greater Philadelphia (PA), New Jersey (NJ), and New York City (NYC) areas. The Synergistic Partnership for Enhancing Equity in Cancer Health (SPEECH) collaborated with community-based organizations' leaders and staff to streamline recruitment, workshop delivery, and survey data collection. The workshop curriculum covered essential CRC information, including facts, dietary habits, and screening guidelines. Pre- and post-workshop surveys were used to assess changes in CRC knowledge and screening intention. The distribution of participants was analyzed using Arc GIS. Results: [GXM1] The study population consisted of 212 Asian, 172 Hispanic/Latino, and 126 African American/Black participants. Geographical data was obtainable for 486 participants, primarily from New York (n=286, 58.8%), Pennsylvania (n=150, 30.9%), and New Jersey (n=49, 10.1%). These states form the Pennsylvania, New Jersey, and New York City (PNN) region, which is known for its high concentrations of neighborhoods experiencing persistent poverty, especially in areas densely populated by minorities. Distinct examples include neighborhoods within the Bronx borough of New York City and Philadelphia County in Pennsylvania. Alarmingly, in some counties within the PNN region, as many as 26% of the census tracts are categorized as persistently impoverished. This pattern of concentrated poverty is supported by several existing studies and research reports. Conclusions: The distribution of participants aligned with the study area of SPEECH and areas characterized by persistent poverty. These findings provide valuable insights to guide efforts in improving cancer health equity in the identified regions. Citation Format: Thoin F. Begum, Ellen Kim, Lin Zhu, Yin Tan, Evelyn T. González, Marilyn A. Fraser, Yingzhang Lin, Nathaly Rubio-Torio, Tenya Blackwell, Carolyn Martin, Safa Ibrahim, Ming-Chin Yeh, Grace X. Ma. Examining the geographical distribution of a colorectal cancer awareness community outreach program [abstract]. In: Proceedings of the 16th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2023 Sep 29-Oct 2;Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2023;32(12 Suppl):Abstract nr A040.

Abstract B086: Sociodemographic inequities in carcinogenic industrial air pollution exposures among women in a U.S. cohort

Abstract Purpose: In the U.S. industrial pollution disproportionately burdens under-resourced communities, but little is known about the amount of potential exposure to carcinogenic industrial air pollutants and their associations with cancer risk, especially for female cancers with known racial disparities. We assessed exposures to airborne carcinogenic emissions by race/ethnicity, education, and neighborhood deprivation. Methods: We used a U.S. Environmental Protection Agency nationwide database of regulated chemical emissions from industrial facilities to estimate historical exposures (1987-1995) to 21 known and 30 probable carcinogens for participants in the NIH-AARP Diet and Health Study. This prospective cohort includes 177,806 women enrolled in 1995-1996. We estimated chemical emissions from facilities within 2km of the enrollment residence, adjusted for distance from the home and wind direction. We compared exposure prevalence by race/ethnicity, educational attainment, and a study-specific census tract-level neighborhood deprivation index derived from 20 measures of socioeconomic status (SES) by calculating proportions exposed from each population group. We included these variables in the same ordinal logistic regression model to estimate odds ratios (ORs) and 95% confidence intervals (CIs) comparing the highest category of emissions (highest tertile (T3) or >90th percentile) to the referent group (zero emissions) for all sociodemographic characteristics, additionally adjusted for urbanicity and state of residence. Results: The majority identified as non-Hispanic White (89%), followed by non-Hispanic Black (6%), Hispanic/Latina (2%) and Asian (1%). Despite comprising a smaller proportion of the cohort, Black women were nearly twice as likely (20%) as White women (11%) to live within 2km of an exposure source, whereas proportions among Hispanic/Latina (13%) and Asian women (12%) were similar to those among White women. Similar patterns were observed with low educational attainment (≤high school vs. college educated) and living in areas with high (T3) compared to low (T1) deprivation. In mutually adjusted models, compared to White women, Asian (OR=1.4, CI 1.2-1.5), Black (OR=1.4, CI 1.3-1.5), and Hispanic/Latina (OR=1.5, CI 1.4-1.6) women had 1.4-1.6 times greater exposure burden to any known or probable carcinogen, with similar estimates for benzene, cadmium, dichloromethane, lead, perchlorate, and styrene. Low educational attainment and high neighborhood deprivation were associated with up to 2-fold higher odds of being heavily exposed. Conclusions: We demonstrated notable disparities in environmental exposure to airborne carcinogens by race/ethnicity and individual and neighborhood-level measures of SES. Existing etiologic and mechanistic evidence supports the role of some of these chemicals as carcinogens for sites with known disparities. Future efforts to evaluate associations of these exposures with cancer risk are warranted, particularly in populations with sufficient power to evaluate risk separately by race/ethnicity and SES. Citation Format: Jessica M. Madrigal, Jared Fisher, Barry Graubard, Mary Ward, Rena Jones. Sociodemographic inequities in carcinogenic industrial air pollution exposures among women in a U.S. cohort [abstract]. In: Proceedings of the 16th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2023 Sep 29-Oct 2;Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2023;32(12 Suppl):Abstract nr B086.

Racial/Ethnic disparities in exposure to neighborhood violence and lung cancer risk in Chicago

BackgroundDespite the lower prevalence and frequency of smoking, Black adults are disproportionately affected by lung cancer. Exposure to chronic stress generates heightened immune responses, which creates a cell environment conducive to lung cancer development. Residents in poor and segregated neighborhoods are exposed to increased neighborhood violence, and chronic exposure to violence may have downstream physiological stress responses, which may explain racial disparities in lung cancer in predominantly Black urban communities. MethodsWe utilized retrospective electronic medical records of patients who underwent a screening or diagnostic test for lung cancer at an academic medical center in Chicago to examine the associations between lung cancer diagnosis and individual characteristics (age, gender, race/ethnicity, and smoking status) and neighborhood-level homicide rate. We then used a synthetic population to estimate the neighborhood-level lung cancer risk to understand spatial clusters of increased homicide rates and lung cancer risk. ResultsOlder age and former/current smoking status were associated with increased odds of lung cancer diagnosis. Hispanic patients were more likely than White patients to be diagnosed with lung cancer, but there was no statistical difference between Black and White patients in lung cancer diagnosis. The odds of being diagnosed with lung cancer were significantly higher for patients living in areas with the third and fourth quartiles of homicide rates compared to the second quartile of homicide rates. Furthermore, significant spatial clusters of increased lung cancer risk and homicide rates were observed on Chicago's South and West sides. ConclusionsNeighborhood violence was associated with an increased risk of lung cancer. Black residents in Chicago are disproportionately exposed to neighborhood violence, which may partially explain the existing racial disparity in lung cancer. Incorporating neighborhood violence exposure into lung cancer risk models may help identify high-risk individuals who could benefit from lung cancer screening.

Air quality disparities mapper: An open-source web application for environmental justice

Exposure to fine particulate matter (PM2.5) is linked to increased health risks and disproportionately affects minority and low-income communities. Current research lacks assessment of exposure disparities to PM2.5 components and effective communication of these disparities. We developed an interactive, web-based air pollution mapper, combining high-resolution predictions of PM2.5 components for 2010 across the contiguous United States with U.S. Census demographic data. The interface, hosted at https://disparitiesmapper.github.io/, allows users to visualize the relationship between variables, highlighting the racial, socioeconomic, and geographic disparities in exposure. By mapping individual PM2.5 components, it provides insights into specific sources driving PM2.5 concentrations, aiding in designing targeted reduction programs. This tool makes air quality data more accessible and informs policy outcomes.

Follicular DNA Damage and Pesticide Exposure Among Latinx Children in Rural and Urban Communities

The intersectional risks of children in United States immigrant communities include environmental exposures. Pesticide exposures and their biological outcomes are not well characterized in this population group. We assessed pesticide exposure and related these exposures to DNA double-strand breaks (DSBs) in Latinx children from rural, farmworker families (FW; N = 30) and from urban, non-farmworker families (NFW; N = 15) living in North Carolina. DSBs were quantified in hair follicular cells by immunostaining of 53BP1, and exposure to 72 pesticides and pesticide degradation products were determined using silicone wristbands. Cholinesterase activity was measured in blood samples. DSB frequencies were higher in FW compared to NFW children. Seasonal effects were detected in the FW group, with highest DNA damage levels in April–June and lowest levels in October–November. Acetylcholinesterase depression had the same seasonality and correlated with follicular DNA damage. Organophosphate pesticides were more frequently detected in FW than in NFW children. Participants with organophosphate detections had increased follicular DNA damage compared to participants without organophosphate detection. Follicular DNA damage did not correlate with organochlorine or pyrethroid detections and was not associated with the total number of pesticides detected in the wristbands. These results point to rural disparities in pesticide exposures and their outcomes in children from vulnerable immigrant communities. They suggest that among the different classes of pesticides, organophosphates have the strongest genotoxic effects. Assessing pesticide exposures and their consequences at the individual level is key to environmental surveillance programs. To this end, the minimally invasive combined approach used here is particularly well suited for children.

2020 Near-roadway population census, traffic exposure and equity in the United States

We present an updated analysis of the size and demographic composition of the United States (U.S.) population living near high traffic volume roadways where the risk of negative health outcomes from traffic-related air pollution exposure is elevated using traffic data from 2018 and 2020 census data. We also evaluate disparities in traffic exposure by race, ethnicity, and income using refined equity analysis methods and break down our analysis by light-, medium-, and heavy-duty vehicle traffic. We find that 24 % of the U.S. population now lives near high-volume roadways, a larger share than 10 years ago. We also find statistically significant associations between higher levels of traffic exposure and greater proportions of people of color and lower household incomes in 89 % of U.S. counties. The increasing size of the near-roadway population, persistent and widespread inequities, and rapidly growing truck traffic raise significant public health and environmental justice concerns.

American Cancer Society's report on the status of cancer disparities in the United States, 2023.

In 2021, the American Cancer Society published its first biennial report on the status of cancer disparities in the United States. In this second report, the authors provide updated data on racial, ethnic, socioeconomic (educational attainment as a marker), and geographic (metropolitan status) disparities in cancer occurrence and outcomes and contributing factors to these disparities in the country. The authors also review programs that have reduced cancer disparities and provide policy recommendations to further mitigate these inequalities. There are substantial variations in risk factors, stage at diagnosis, receipt of care, survival, and mortality for many cancers by race/ethnicity, educational attainment, and metropolitan status. During 2016 through 2020, Black and American Indian/Alaska Native people continued to bear a disproportionately higher burden of cancer deaths, both overall and from major cancers. By educational attainment, overall cancer mortality rates were about 1.6-2.8 times higher in individuals with ≤12years of education than in those with ≥16years of education among Black and White men and women. These disparities by educational attainment within each race were considerably larger than the Black-White disparities in overall cancer mortality within each educational attainment, ranging from 1.03 to 1.5 times higher among Black people, suggesting a major role for socioeconomic status disparities in racial disparities in cancer mortality given the disproportionally larger representation of Black people in lower socioeconomic status groups. Of note, the largest Black-White disparities in overall cancer mortality were among those who had ≥16years of education. By area of residence, mortality from all cancer and from leading causes of cancer death were substantially higher in nonmetropolitan areas than in large metropolitan areas. For colorectal cancer, for example, mortality rates in nonmetropolitan areas versus large metropolitan areas were 23% higher among males and 21% higher among females. By age group, the racial and geographic disparities in cancer mortality were greater among individuals younger than 65years than among those aged 65years and older. Many of the observed racial, socioeconomic, and geographic disparities in cancer mortality align with disparities in exposure to risk factors and access to cancer prevention, early detection, and treatment, which are largely rooted in fundamental inequities in social determinants of health. Equitable policies at all levels of government, broad interdisciplinary engagement to address these inequities, and equitable implementation of evidence-based interventions, such as increasing health insurance coverage, are needed to reduce cancer disparities.