PURPOSE:The Environmental influences on Child Health Outcomes (ECHO) Cohort has enrolled over 60,000 children to examine how early environmental factors (broadly defined) are associated with key child health outcomes. The ECHO Cohort may be well-positioned to contribute to our understanding of rural environments and contexts, which has implications for rural health disparities research. The present study examined the outcome of child obesity to not only illustrate the suitability of ECHO Cohort data for these purposes but also determine how various definitions of rural and urban populations impact the presentation of findings and their interpretation. METHODS:This analysis uses data from children in the ECHO Cohort study who had residential address information between January 2010 and October 2023, including a subset who also had height and weight data. Several rural-urban classification schemes were examined with and without collapsing into binary rural/urban groupings (ie, the Rural-Urban Continuum Codes, 2010 Rural-Urban Commuting Area [RUCA] Codes, and Urban Influence Codes). FINDINGS:Various rural/urban definitions and classification schemes produce similar obesity prevalence (17%) when collapsed into binary categories (rural vs urban) and for urban participants in general. When all categories within a classification scheme are examined, however, the rural child obesity prevalence ranges from 5.8% to 24%. CONCLUSIONS:Collapsing rural-urban classification schemes into binary groupings erases nuance and context needed for interpreting findings, ultimately impacting health disparities research. Future work should leverage both individual- and community-level datasets to provide context, and all categories of classification schemes should be used when examining rural populations.

OBJECTIVES:Manure gases are deadly agricultural hazards that recently caused the deaths of two manure haulers and rural firefighters in New York in June 2024. This study had two objectives: 1) survey fire departments to learn about their use and promotion of four gas monitors in rural communities; 2) assess the Four Gas Monitor Program, a gas monitor distribution program in rural Wisconsin that targets first responders, to learn whether it is having an impact on rural community emergency preparedness. METHODS:A rapid, survey-based study was conducted in July 2024. The survey was distributed to the 81 fire departments that had members attend an Agriculture Rescue Training event, including 31 departments that had received gas monitors as a part of the Four Gas Monitor Program. The survey included questions about gas monitor use and promotion by the fire departments. RESULTS:Seventeen different departments responded to the survey. It was found that 16 of the 17 departments had four gas monitors, and 10 departments had received monitors from the Four Gas Monitor Program. Additionally, 13 departments informed their communities about the monitors, 3 used the monitors with farmers, and 15 departments had used monitors during an emergency response. CONCLUSION:The study findings show that the Four Gas Monitor Program has successfully placed gas monitors into the hands of rural first responders, particularly in Central Wisconsin. The outcome of the Four Gas Monitor Program shows the potential for positively shaping the agricultural health and safety landscape through sustained work with first responders.

Effective measurement of positive child health is critical in improving public health. A proposed measure of positive health, a positive child health index (PCHI), is based on how many of 11 specific physical, developmental, and mental health conditions a child has (ranging from 0 to 11). Accepted measures of positive health, Patient-Reported Outcome Measurement Information System (PROMIS®) measures of global health, meaning and purpose, and life satisfaction, are based on child and caregiver perceptions. The sample comprised 3713 children aged 5 to 17 years from the NIH Environmental influences on Child Health Outcomes (ECHO) Cohort with data to calculate PCHI and at least 1 child- or caregiver-reported PROMIS measure. Linear regressions were performed to test the associations between each PROMIS measure T-score and the PCHI, adjusting for gestational age, child sex, child age, and maternal factors (age, education, income). The PROMIS measure associated most strongly with PCHI was caregiver-reported global health, followed by child-reported global health. Caregiver-reported life satisfaction and child-reported meaning and purpose were higher for children with a PCHI = 0 compared with children with 3 or more health conditions but not when compared with children with only 1 or 2 conditions. Among children with 4 or more conditions, girls reported lower global health than boys. Sex differences were not found for caregiver-reported measures. PROMIS measures and PCHI offer complementary information on positive child health. PROMIS measures are intended as measures of a person’s perception of their health, whereas PCHI reflects a cumulative impact of chronic health conditions from the perspective of health care systems. Both viewpoints are informative in public health promotion.

BACKGROUND:Environmental exposures and social determinants likely influence specific childhood asthma phenotypes. OBJECTIVE:We hypothesized that the Child Opportunity Index (COI) at birth, measuring multiple neighborhood opportunities, influences incidence rates (IRs) for asthma with recurrent exacerbations (ARE). METHODS:We tested for COI associations with ARE IRs in 15,877 children born between 1990 and 2018 in the ECHO (Environmental Influences on Child Health Outcomes) program. Parent-reported race and ethnicity and other demographics were assessed as effect modifiers. RESULTS:The IRs of ARE for children born in very low COI neighborhoods was higher (IR = 10.98; 95% CI: 9.71, 12.25) than for other COI categories. Rates for non-Hispanic Black (NHB) children were significantly higher than non-Hispanic White children in every COI category. The ARE IRs for children born in very low COI neighborhoods were several-fold higher for NHB and Hispanic Black children (IR = 15.30; 95% CI: 13.10, 17.49; and IR = 18.48; 95% CI: 8.80, 28.15, respectively) when compared to White children. Adjusting for individual-level characteristics, children born in very low COI neighborhoods demonstrated an ARE IR ratio of 1.26 (95% CI: 0.99, 1.59) with a higher incidence of cases among children ages 2 to 4 years and with a parental history of asthma. CONCLUSIONS:Rates of ARE were higher among children born in under-resourced communities, and this relationship is strongest for young minoritized children with a parental history of asthma. Higher rates for NHB even in the highest COI categories suggest that risk associated with race persists regardless of social disadvantage.

Prenatal and early life farm exposure, and breastfeeding, are associated with protection from allergic diseases. We hypothesize that farm exposure influences the human breast milk microbiome and immune proteins. The immune protein profiles and microbial communities of 152 human breast milk samples were compared among three maternal farm exposure groups (traditional agrarian, farm, and non-farm) in rural Wisconsin to identify signatures associated with farm status and atopic disease. We found significant differences between farm groups for 23 immune proteins (p-adj<0.05), microbiome diversity (p=2.2E-05), and microbiome richness (p=8.0e-06). Traditional agrarian human breast milk had the highest immune protein levels and microbiome diversity and richness, followed by farm and non-farm human breast milk. Furthermore, Gram-positive bacterial species correlated with IL-23 mediated signaling events (p-adj<1.0E-05). These data suggest that increased farm exposures promotes human breast milk that is more microbially-diverse and rich in immune-associated proteins, ultimately influencing immune development in the infant.

A major challenge in epidemiology is knowing when an exposure effect is large enough to be clinically important, in particular how to interpret a difference in mean outcome in unexposed/exposed groups. Where it can be calculated, the proportion/percentage beyond a suitable cut-point is useful in defining individuals at high risk to give a more meaningful outcome. In this simulation study we compute differences in outcome means and proportions that arise from hypothetical small effects in vulnerable sub-populations. Data from over 28,000 mother/child pairs belonging to the Environmental influences on Child Health Outcomes Program were used to examine the impact of hypothetical environmental exposures on mean birthweight, and low birthweight (LBW) (birthweight < 2500g). We computed mean birthweight in unexposed/exposed groups by sociodemographic categories (maternal education, health insurance, race, ethnicity) using a range of hypothetical exposure effect sizes. We compared the difference in mean birthweight and the percentage LBW, calculated using a distributional approach. When the hypothetical mean exposure effect was fixed (at 50, 125, 167 or 250g), the absolute difference in

The goal of this article is to describe the results of interviews with twenty-five parents of children living and working on dairy farms. The interviews sought to uncover farm parent perspectives and experiences pertaining to raising a kid on the farm and around livestock as well as the risks and benefits involved. Parent perspectives of the risk associated with child-livestock interactions were often uninformed by evidence-based guidelines. Instead, parents showcased a relational understanding of risk primarily informed by their highly localized knowledge and experience. We argue that most dairy farm parents understand the risks associated with child-livestock interactions; however, whether these potential hazards prevent parents from allowing a child to complete a livestock-related task is dependent on complex—though well-rehearsed—processes of risk evaluation. Further, the farm parents we interviewed considered the risks and benefits of child-livestock interactions to be interwoven. We conclude by contextualizing the utility of our findings for developing effective youth agricultural injury prevention interventions and safety messaging materials.

Objective: Understanding compliance with COVID-19 mitigation recommendations is critical for informing efforts to contain future infectious disease outbreaks. This study tested the hypothesis that higher levels of worry about COVID-19 illness among household caregivers would predict lower (a) levels of overall and discretionary social exposure activities and (b) rates of household SARS-CoV-2 infections. Methods: Data were drawn from a surveillance study of households with children (N = 1913) recruited from 12 U.S. cities during the initial year of the pandemic and followed for 28 weeks (data collection: 1-May-2020 through 22-Feb-2021). Caregivers rated how much they worried about family members getting COVID-19 and subsequently reported household levels of outside-the-home social activities that could increase risk for SARS-CoV-2 transmission at 14 follow-ups. Caregivers collected household nasal swabs on a fortnightly basis and peripheral blood samples at study conclusion to monitor for SARS-CoV-2 infections by polymerase chain reaction and serology. Primary analyses used generalized linear and generalized mixed-effects modelling. Results: Caregivers with high enrollment levels of worry about COVID-19 illness were more likely to reduce direct social contact outside the household, particularly during the U.S.'s most deadly pandemic wave. Households of caregivers with lower COVID-19 worry had higher odds of (a) reporting discretionary outside-the-home social interaction and (b) SARS-CoV-2 infection. Conclusions: This was, to our knowledge, the first study showing that caregiver COVID-19 illness worry was predictive of both COVID-19 mitigation compliance and laboratory-determined household infection. Findings should inform studies weighing the adaptive value of worrying about infectious disease outbreaks against established detrimental health effects.

BACKGROUND:Farm exposures in early life reduce the risks for childhood allergic diseases and asthma. There is less information about how farm exposures relate to respiratory illnesses and mucosal immune development.OBJECTIVE:We hypothesized that children raised in farm environments have a lower incidence of respiratory illnesses over the first 2 years of life than nonfarm children. We also analyzed whether farm exposures or respiratory illnesses were related to patterns of nasal cell gene expression.METHODS:The Wisconsin Infant Study Cohort included farm (n = 156) and nonfarm (n = 155) families with children followed to age 2 years. Parents reported prenatal farm and other environmental exposures. Illness frequency and severity were assessed using illness diaries and periodic surveys. Nasopharyngeal cell gene expression in a subset of 64 children at age 2 years was compared to farm exposure and respiratory illness history.RESULTS:Farm versus nonfarm children had nominally lower rates of respiratory illnesses (rate ratio 0.82 [95% CI, 0.69, 0.97]) with a stepwise reduction in illness rates in children exposed to 0, 1, or ≥2 animal species, but these trends were nonsignificant in a multivariable model. Farm exposures and preceding respiratory illnesses were positively related to nasal cell gene signatures for mononuclear cells and innate and antimicrobial responses.CONCLUSIONS:Maternal and infant exposure to farms and farm animals was associated with nonsignificant trends for reduced respiratory illnesses. Nasal cell gene expression in a subset of children suggests that farm exposures and respiratory illnesses in early life are associated with distinct patterns of mucosal immune expression.

The Human Epidemiology and Response to SARS-CoV-2 (HEROS) is a prospective multi-city 6-month incidence study which was conducted from May 2020-February 2021. The objectives were to identify risk factors for SARS-CoV-2 infection and household transmission among children and people with asthma and allergic diseases, and to use the host nasal transcriptome sampled longitudinally to understand infection risk and sequelae at the molecular level. To overcome challenges of clinical study implementation due to the coronavirus pandemic, this surveillance study used direct-to-participant methods to remotely enroll and prospectively follow eligible children who are participants in other NIH-funded pediatric research studies and their household members. Households participated in weekly surveys and biweekly nasal sampling regardless of symptoms. The aim of this report is to widely share the methods and study instruments and to describe the rationale, design, execution, logistics and characteristics of a large, observational, household-based, remote cohort study of SARS-CoV-2 infection and transmission in households with children. The study enrolled a total of 5,598 individuals, including 1,913 principal participants (children), 1,913 primary caregivers, 729 secondary caregivers and 1,043 other household children. This study was successfully implemented without necessitating any in-person research visits and provides an approach for rapid execution of clinical research.

Globally, half a billion people are employed in animal agriculture and are directly exposed to the associated microorganisms. However, the extent to which such exposures affect resident human microbiomes is unclear. Here we conducted a longitudinal profiling of the nasal and faecal microbiomes of 66 dairy farmers and 166 dairy cows over a year-long period. We compare farmer microbiomes to those of 60 age-, sex- and ZIP code-matched people with no occupational exposures to farm animals (non-farmers). We show that farming is associated with microbiomes containing livestock-associated microbes; this is most apparent in the nasal bacterial community, with farmers harbouring a richer and more diverse nasal community than non-farmers. Similarly, in the gut microbial communities, we identify more shared microbial lineages between cows and farmers from the same farms. Additionally, we find that shared microbes are associated with antibiotic resistance genes. Overall, our study demonstrates the interconnectedness of human and animal microbiomes. Longitudinal profiling of the nasal and faecal microbiomes of 66 dairy farmers and 166 dairy cows over a year-long period shows that microbes acquired from cow microbiomes introduce clinically relevant antimicrobial resistance genes to farmer guts.

BACKGROUND:Descriptive epidemiological data on incidence rates (IRs) of asthma with recurrent exacerbations (ARE) are sparse. OBJECTIVES:This study hypothesized that IRs for ARE would vary by time, geography, age, and race and ethnicity, irrespective of parental asthma history. METHODS:The investigators leveraged data from 17,246 children born after 1990 enrolled in 59 US with 1 Puerto Rican cohort in the Environmental Influences on Child Health Outcomes (ECHO) consortium to estimate IRs for ARE. RESULTS:The overall crude IR for ARE was 6.07 per 1000 person-years (95% CI: 5.63-6.51) and was highest for children aged 2-4 years, for Hispanic Black and non-Hispanic Black children, and for those with a parental history of asthma. ARE IRs were higher for 2- to 4-year-olds in each race and ethnicity category and for both sexes. Multivariable analysis confirmed higher adjusted ARE IRs (aIRRs) for children born 2000-2009 compared with those born 1990-1999 and 2010-2017, 2-4 versus 10-19 years old (aIRR = 15.36; 95% CI: 12.09-19.52), and for males versus females (aIRR = 1.34; 95% CI 1.16-1.55). Black children (non-Hispanic and Hispanic) had higher rates than non-Hispanic White children (aIRR = 2.51; 95% CI 2.10-2.99; and aIRR = 2.04; 95% CI: 1.22-3.39, respectively). Children born in the Midwest, Northeast and South had higher rates than those born in the West (P < .01 for each comparison). Children with a parental history of asthma had rates nearly 3 times higher than those without such history (aIRR = 2.90; 95% CI: 2.43-3.46). CONCLUSIONS:Factors associated with time, geography, age, race and ethnicity, sex, and parental history appear to influence the inception of ARE among children and adolescents.

Growing up on a farm or ranch often involves interactions with livestock that present both potential risks and benefits to children. While these "child-livestock interactions" contribute to the burden of agriculturally related injuries to youth in the United States, they may also result in improved immunological health and other benefits. Agricultural upbringings are also widely perceived to improve physical, cognitive, and skill development of children, contributing to a combination of potential benefits and risks known as the "farm kid paradox." Although previous studies show the health impacts of child-livestock interactions, less is known about the ways in which farm and ranch parents perceive the benefits and risks of these interactions, and how and why they choose to raise children around livestock. Our research addresses this gap by analyzing data from semi-structured interviews with 30 parents of children between the ages of 10-18 who produce beef cattle in Kansas. This research is part of a larger anthropological study of the benefits and risks of child-livestock interactions involving parents on beef and dairy operations in multiple states, along with agricultural safety and health professionals. The results offer insights into the experiences, practices, and perspectives of parents, outlining agricultural ways of life in which safety and relations to risk are shaped by patterns of production, family dynamics, values and habits, and other social and cultural dimensions. These insights deepen our understanding of parents' perceptions of both benefits and risks of agricultural childhoods.

While increased length and intensity of wildfire seasons in many places have led to more concern about wildland firefighter safety, we believe ethnography has been underutilized as a method within this domain. In response, we begin building a shared idiom for ethnographic engagement with wildland firefighter safety and similar occupations. We draw on ethnographic approaches to late industrialism to develop a method called discursive risk analysis (DRA) as an initial stage in a broader collaborative and generative research practice. By collaborative, we mean cooperation among stakeholder, disciplinary, professional, and other groups. We use DRA to analyse ethnographic data and documentary sources relevant to discussions of ‘the Big Lie’ among firefighters and agency leadership. The Big Lie is a term that both firefighters and agency leaders used to suggest that wildland firefighters are being harmed by agency discourse that says firefighters will be kept safe despite the unavoidable danger of the job. It is important to the Big Lie discussion that this harm is conceptualized by firefighters as discursively driven, necessitating a research method attentive to discourse. Discursive Risk Analysis of the Big Lie discussion suggests two discursive gaps that may result in two discursive risks. The first gap, found in agency discourse, is that ‘everyone knows the job is dangerous’ but ‘zero fatalities is a reasonable goal.’ This gap is associated with a discursive risk, a possible decrease in trust among wildland firefighters in agency leadership. The second gap, observed in firefighter discourse, is that ‘the job is dangerous’ but ‘no one will get hurt today.’ This gap is associated with another discursive risk, the possibility of decreased situational awareness. Finally, we clarify each of these gaps and risks through two anthropological concepts (the Sapir–Whorf hypothesis and the public secret) that can bring new perspectives to discussions about institutional cultures of health and safety.

The future of agricultural work in the United States (U.S.) must account for at least two important trends: 1) the persistence of the industry being riddled with high rates of injury and illness and 2) the growing proportion of hired farmworkers compared to family farmworkers working in these dangerous environments. These workers confront structural disadvantages that impede social justice and prosperity. Social structures like policies, economic systems, institutions, and social hierarchies create health disparities, often along the lines of social categories. The result is an already dangerous industry with vulnerable workers facing unjust risks, especially those that are undocumented. Agricultural health and safety professionals and other stakeholders should engage structural competency curricula in order to increase awareness of impact of structures and be better positioned to improve farmworker health and wellbeing. Similar work has been successful in the training healthcare professionals, e.g. the Structural Competency Working Group (SCWG). New strategies are needed to improve farmworker wellbeing and retain an adequate agricultural workforce. A greater understanding of the social and structural concerns that farmworkers face is an important step towards occupational and social justice. It is also clear that it will require collaboration and community-based efforts creating a larger team of people using similar concepts related to the structural influences on whether health and wellbeing are distributed equitably. This work is being moved forward in healthcare, social work, worker organizations, and community-based initiatives. Agricultural health and safety professionals have a vital contribution to make if they join the ranks.

Human papillomavirus (HPV) vaccination can dramatically reduce the incidence of HPV-associated cancers. However, HPV vaccination coverage in rural areas is lower than in urban areas, and overall HPV vaccination coverage in the United States remains lower than other adolescent vaccines. We conducted 20 qualitative interviews with adolescent healthcare providers and clinic staff in urban and rural Minnesota and assessed their perspectives on HPV vaccination. Guiding interview topics included: strategies to persuade families to vaccinate their children, the impact of the patient-provider relationship and the clinical environment on vaccination uptake, and provider perceptions of parents' vaccine attitudes. In thematic analysis, all participants reported using common vaccination strategies, such as framing the HPV vaccine in terms of cancer prevention. The analysis also revealed three themes described as occurring uniquely or more intensely in rural communities than urban communities: the rural value of choice or independence, the spread of misinformation, and close-knit, multifaceted patient-provider relationships in clinical practice. Interventions aimed at increasing HPV vaccination should consider the distinctive circumstances of rural healthcare providers and patients.

COPYRIGHT © 2023 Lee, Becot, Bendixsen, Benny, Lundqvist, Swenson, Weichelt and Franklin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. Editorial: Safeguarding youth from agricultural injury and illness: international experiences

The Environmental Influences on Child Health Outcomes (ECHO)-Wide Cohort Study (EWC), a collaborative research design comprising 69 cohorts in 31 consortia, was funded by the National Institutes of Health (NIH) in 2016 to improve children's health in the United States. The EWC harmonizes extant data and collects new data using a standardized protocol, the ECHO-Wide Cohort Data Collection Protocol (EWCP). EWCP visits occur at least once per life stage, but the frequency and timing of the visits vary across cohorts. As of March 4, 2022, the EWC cohorts contributed data from 60,553 children and consented 29,622 children for new EWCP data and biospecimen collection. The median (interquartile range) age of EWCP-enrolled children was 7.5 years (3.7-11.1). Surveys, interviews, standardized examinations, laboratory analyses, and medical record abstraction are used to obtain information in 5 main outcome areas: pre-, peri-, and postnatal outcomes; neurodevelopment; obesity; airways; and positive health. Exposures include factors at the level of place (e.g., air pollution, neighborhood socioeconomic status), family (e.g., parental mental health), and individuals (e.g., diet, genomics).

Key Points Question Are there differences in health care use during the COVID-19 pandemic among children and young adults (ages 1-18 years) who were born preterm vs those born term? Findings In this cohort study, data from 1691 mother-offspring pairs were collected on health care utilization related to COVID-19 concerns. Individuals who were born at less than 28 weeks’ gestation had twice the odds of either in-person or phone or telehealth evaluations during the COVID-19 pandemic compared with those born at term. Meaning The findings of this cohort study may help broaden understanding factors driving health care utilization during pandemic surges and facilitate refinement and flexibility of care models.

Tools for assessing multiple exposures across several domains (e.g., physical, chemical, and social) are of growing importance in social and environmental epidemiology because of their value in uncovering disparities and their impact on health outcomes. Here we describe work done within the Environmental influences on Child Health Outcomes (ECHO)-wide Cohort Study to build a combined exposure index. Our index considered both environmental hazards and social stressors simultaneously with national coverage for a 10-year period. Our goal was to build this index and demonstrate its utility for assessing differences in exposure for pregnancies enrolled in the ECHO-wide Cohort Study. Our unitless combined exposure index, which collapses census-tract level data into a single relative measure of exposure ranging from 0–1 (where higher values indicate higher exposure to hazards), includes indicators for major air pollutants and air toxics, features of the built environment, traffic exposures, and social determinants of health (e.g., lower educational attainment) drawn from existing data sources. We observed temporal and geographic variations in index values, with exposures being highest among participants living in the West and Northeast regions. Pregnant people who identified as Black or Hispanic (of any race) were at higher risk of living in a “high” exposure census tract (defined as an index value above 0.5) relative to those who identified as White or non-Hispanic. Index values were also higher for pregnant people with lower educational attainment. Several recommendations follow from our work, including that environmental and social stressor datasets with higher spatial and temporal resolutions are needed to ensure index-based tools fully capture the total environmental context.