Individual-level Exposure Research Articles

Exploring associations between residential exposure to pesticides and birth outcomes using the Dutch birth registry

BackgroundMaternal occupational exposure to pesticides has been linked to adverse birth outcomes but associations with residential pesticide exposures are inconclusive. ObjectivesTo explore associations between residential exposure to specific pesticides and birth outcomes using individual level exposure and pregnancy/birth data. MethodsFrom all 2009–2013 singleton births in the Dutch birth registry, we selected mothers > 16 years old living in non-urban areas, who had complete address history and changed addresses at most once during pregnancy (N = 339,947). We estimated amount (kg) of 139 active ingredients (AI) used within buffers of 50, 100, 250 and 500 m around each mother's home during pregnancy. We used generalized linear models to investigate associations between 12 AIs with evidence of reproductive toxicity and gestational age (GA), birth weight (BW), perinatal mortality, child́s sex, prematurity, low birth weight (LBW), small for gestational age (SGA) and large for gestational age (LGA), adjusting for individual and area-level confounders. For the remainder 127 AIs, we used minimax concave penalty with a stability selection step to identify those that could be related to birth outcomes. ResultsRegression analyses showed that maternal residential exposure to fluroxypyr-meptyl was associated with longer GA, glufosinate-ammonium with higher risk of LBW, linuron with higher BW and higher odds of LGA, thiacloprid with lower odds of perinatal mortality and vinclozolin with longer GA. Variable selection analysis revealed that picoxystrobin was associated with higher odds of LGA. We found no evidence of associations with other AIs. Sensitivity and additional analysis supported these results except for thiacloprid. DiscussionIn this exploratory study, pregnant women residing near crops where fluroxypyr-meptyl, glufosinate-ammonium, linuron, vinclozolin and picoxystrobin were applied had higher risk for certain potentially adverse birth outcomes. Our findings provide leads for confirmatory investigations on these compounds and/or compounds with similar modes of action.

Short-term effects of individual exposure to PM2.5 on hospital admissions for myocardial infarction and stroke: a population-based case-crossover study in Guangzhou, China.

Some studies have investigated the effects of PM2.5 on cardiovascular diseases based on the population-average exposure data from several monitoring stations. No one has explored the short-term effect of PM2.5 on cardiovascular hospitalizations using individual-level exposure data. We assessed the short-term effects of individual exposure to PM2.5 on hospitalizations for myocardial infarction (MI) and stroke in Guangzhou, China, during 2014-2019. The population-based data on cardio-cerebrovascular events were provided by Guangzhou Center for Disease Control and Prevention. Average annual percent changes (AAPCs) were used to describe trends in the hospitalization rates of MI and stroke. The conditional logistic regression model with a time-stratified case-crossover design was applied to estimate the effects of satellite-retrieved PM2.5 with 1-km resolution as individual-level exposure. Furthermore, we performed stratified analyses by demographic characteristics and season. There were 28,346 cases of MI, 188,611, and 36,850 cases of ischemic stroke (IS) and hemorrhagic stroke (HS), respectively, with an annual average hospitalization rate of 37.2, 247, and 48.4 per 100,000 people. Over the six-year study period, significant increasing trends in the hospitalization rates were observed with AAPCs of 12.3% (95% confidence interval [CI]: 7.24%, 17.6%), 13.1% (95% CI: 9.54%, 16.7%), and 9.57% (95% CI: 6.27%, 13.0%) for MI, IS, and HS, respectively. A 10μg/m3 increase in PM2.5 was associated with an increase of 1.15% (95% CI: 0.308%, 1.99%) in MI hospitalization and 1.29% (95% CI: 0.882%, 1.70%) in IS hospitalization. A PM2.5-associated reduction of 1.17% (95% CI: 0.298%, 2.03%) was found for HS hospitalization. The impact of PM2.5 was greater in males than in females for MI hospitalization, and greater effects were observed in the elderly (≥ 65years) and in cold seasons for IS hospitalization. Our study added important evidence on the adverse effect of PM2.5 based on satellite-retrieved individual-level exposure data.

Data to Action: Community-Based Participatory Research to Address Concerns about Metal Air Pollution in Overburdened Neighborhoods near Metal Recycling Facilities in Houston.

Exposures to environmental contaminants can be influenced by social determinants of health. As a result, persons living in socially disadvantaged communities may experience disproportionate health risks from environmental exposures. Mixed methods research can be used to understand community-level and individual-level exposures to chemical and nonchemical stressors contributing to environmental health disparities. Furthermore, community-based participatory research (CBPR) approaches can lead to more effective interventions. We applied mixed methods to identify environmental health perceptions and needs among metal recyclers and residents living in disadvantaged neighborhoods near metal recycling facilities in Houston, Texas, in a CBPR study, Metal Air Pollution Partnership Solutions (MAPPS). Informed by what we learned and our previous findings from cancer and noncancer risk assessments of metal air pollution in these neighborhoods, we developed an action plan to lower metal aerosol emissions from metal recycling facilities and enhance community capacity to address environmental health risks. Key informant interviews, focus groups, and community surveys were used to identify environmental health concerns of residents. A diverse group from academia, an environmental justice advocacy group, the community, the metal recycling industry, and the local health department collaborated and translated these findings, along with results from our prior risk assessments, to inform a multifaceted public health action plan. An evidence-based approach was used to develop and implement neighborhood-specific action plans. Plans included a voluntary framework of technical and administrative controls to reduce metal emissions in the metal recycling facilities, direct lines of communication among residents, metal recyclers, and local health department officials, and environmental health leadership training. Using a CBPR approach, health risk assessment findings based on outdoor air monitoring campaigns and community survey results informed a multipronged environmental health action plan to mitigate health risks associated with metal air pollution. https://doi.org/10.1289/EHP11405.

Short-term residential exposure to air pollution and risk of acute myocardial infarction deaths at home in China

Air pollution remains a major threat to cardiovascular health and most acute myocardial infarction (AMI) deaths occur at home. However, currently established knowledge on the deleterious effect of air pollution on AMI has been limited to routinely monitored air pollutants and overlooked the place of death. In this study, we examined the association between short-term residential exposure to China’s routinely monitored and unmonitored air pollutants and the risk of AMI deaths at home. A time-stratified case-crossover analysis was undertaken to associate short-term residential exposure to air pollution with 0.1 million AMI deaths at home in Jiangsu Province (China) during 2016–2019. Individual-level residential exposure to five unmonitored and monitored air pollutants including PM1 (particulate matter with an aerodynamic diameter ≤ 1 μm) and PM2.5 (particulate matter with an aerodynamic diameter ≤ 2.5 μm), SO2 (sulfur dioxide), NO2 (nitrogen dioxide), and O3 (ozone) was estimated from satellite remote sensing and machine learning technique. We found that exposure to five air pollutants, even below the recently released stricter air quality standards of the World Health Organization (WHO), was all associated with increased odds of AMI deaths at home. The odds of AMI deaths increased by 20% (95% confidence interval: 8 to 33%), 22% (12 to 33%), 14% (2 to 27%), 13% (3 to 25%), and 7% (3 to 12%) for an interquartile range increase in PM1, PM2.5, SO2, NO2, and O3, respectively. A greater magnitude of association between NO2 or O3 and AMI deaths was observed in females and in the warm season. The greatest association between PM1 and AMI deaths was found in individuals aged ≤ 64 years. This study for the first time suggests that residential exposure to routinely monitored and unmonitored air pollutants, even below the newest WHO air quality standards, is still associated with higher odds of AMI deaths at home. Future studies are warranted to understand the biological mechanisms behind the triggering of AMI deaths by air pollution exposure, to develop intervention strategies to reduce AMI deaths triggered by air pollution exposure, and to evaluate the cost-effectiveness, accessibility, and sustainability of these intervention strategies.Graphical abstract

Tracking Post-Disaster Chronic Disease: Protocol for the RECOVER Cohort Study

Introduction:There is growing evidence that disasters may increase the risk of developing chronic diseases, including diabetes, dyslipidemia, chronic kidney disease, and cardiovascular disease. However, how much disaster exposure specifically affects chronic disease risk is unknown. This presentation introduces the study protocol for the Risk of hEalth ConditiOn AdVerse Events after disasteRs (RECOVER) Cohort Study, which addresses this gap.Method:The primary aim of RECOVER is to determine the extent to which disaster exposure specifically increases the risk of developing chronic disease (Aim 1). The secondary aims of the study are to determine if the nature, duration and severity of disaster exposure are risk factors for disease (Aim 2), to map mediators of post-disaster chronic disease risk (Aim 3), and to identify potential biomarkers of post-disaster chronic disease risk (Aim 4). RECOVER will recruit over 6000 adults (1:1 disaster exposed vs unexposed) in Australia to a nationally representative cohort for longitudinal follow-up. Detailed data will be obtained annually on disaster exposure, demographic, social and health factors. The primary health outcome (Aim 1) of chronic disease will be defined as new, incident diabetes, cardiovascular or respiratory disease, and will be ascertained through data linkage with the Pharmaceutical Benefits Scheme. A biomarker sub-stream will include ~1,000 participants who provide a hair and saliva sample for cortisol and epigenetic analysis.Results:N/AConclusion:There is an urgent need for detailed individual-level data to analyze the nature of the association between disaster exposure and chronic disease. In 2020 alone, 16.8 million Australians were exposed to disasters. The frequency and severity of disasters are only expected to grow due to climate change. As the first prospective cohort study to longitudinally track individual-level disaster exposure and chronic disease outcomes, RECOVER will fill a critical evidence gap.

Effects of heat waves on cardiovascular and respiratory mortality in Rio de Janeiro, Brazil.

Heat waves are becoming more intense and extreme as a consequence of global warming. Epidemiological evidence reveals the health impacts of heat waves in mortality and morbidity outcomes, however, few studies have been conducted in tropical regions, which are characterized by high population density, low income and low health resources, and susceptible to the impacts of extreme heat on health. The aim of this paper is to estimate the effects of heat waves on cardiovascular and respiratory mortality in the city of Rio de Janeiro, Brazil, according to sex, age, and heat wave intensity. We carried out a time-stratified case-crossover study stratified by sex, age (0-64 and 65 or above), and by sex for the older group. Our analyses were restricted to the hot season. We included 42,926 participants, 29,442 of whom died from cardiovascular and 13,484 from respiratory disease, between 2012 and 2017. The death data were obtained from Rio de Janeiro's Municipal Health Department. We estimated individual-level exposure using the inverse distance weighted (IDW) method, with temperature and humidity data from 13 and 12 stations, respectively. We used five definitions of heat waves, based on temperature thresholds (90th, 92.5th, 95th, 97.5th, and 99th of individual daily mean temperature in the hot season over the study period) and a duration of two or more days. Conditional logistic regression combined with distributed lag non-linear models (DLNM) were used to estimate the short-term and delayed effects of heat waves on mortality over a lag period (5 days for cardiovascular and 10 for respiratory mortality). The models were controlled for daily mean absolute humidity and public holidays. The odds ratios (OR) increase as heat waves intensify, although some effect estimates are not statistically significant at 95% level when we applied the most stringent heat wave criteria. Although not statistically different, our central estimates suggest that the effects were greater for respiratory than cardiovascular mortality. Results stratified by sex and age were also not statistically different, but suggest that older people and women were more vulnerable to the effects of heat waves, although for some heat wave definitions, the OR for respiratory mortality were higher among the younger group. The results also indicate that older women are the most vulnerable to heat wave-related cardiovascular mortality. Our results show an increase in the risk of cardiovascular and respiratory mortality on heat wave days compared to non-heat wave ones. These effects increase with heat wave intensity, and evidence suggests that they were greater for respiratory mortality than cardiovascular mortality. Furthermore, the results also suggest that women and the elderly constitute the groups most vulnerable to heat waves.

Integrating Environmental Data with Medical Data in a Records-Linkage System to Explore Groundwater Nitrogen Levels and Child Health Outcomes.

Background: The Rochester Epidemiology Project (REP) medical records-linkage system offers a unique opportunity to integrate medical and residency data with existing environmental data, to estimate individual-level exposures. Our primary aim was to provide an archetype of this integration. Our secondary aim was to explore the association between groundwater inorganic nitrogen concentration and adverse child and adolescent health outcomes. Methods: We conducted a nested case-control study in children, aged seven to eighteen, from six counties of southeastern Minnesota. Groundwater inorganic nitrogen concentration data were interpolated, to estimate exposure across our study region. Residency data were then overlaid, to estimate individual-level exposure for our entire study population (n = 29,270). Clinical classification software sets of diagnostic codes were used to determine the presence of 21 clinical conditions. Regression models were adjusted for age, sex, race, and rurality. Results: The analyses support further investigation of associations between nitrogen concentration and chronic obstructive pulmonary disease and bronchiectasis (OR: 2.38, CI: 1.64-3.46) among boys and girls, thyroid disorders (OR: 1.44, CI: 1.05-1.99) and suicide and intentional self-inflicted injury (OR: 1.37, CI: >1.00-1.87) among girls, and attention deficit conduct and disruptive behavior disorders (OR: 1.34, CI: 1.24-1.46) among boys. Conclusions: Investigators with environmental health research questions should leverage the well-enumerated population and residency data in the REP.

Population- and individual-level trajectories of opioid prescription patterns among adults with cerebral palsy: a retrospective cohort study.

There is little epidemiologic evidence on opioid prescription among adults with cerebral palsy (CP). To describe the population- and individual-level opioid prescription patterns for adults with versus without CP. This retrospective cohort study used commercial claims (Optum's de-identified Clinformatics® Data Mart Database) from the USA from 01/01/2011-12/31/2017 from adults ≥ 18 years old with CP and matched adults without CP. For the population-level analysis, monthly estimates of opioid exposure were described for adults ≥ 18 years old with CP and matched adults without CP. For the individual-level analysis, group based trajectory modelling (GBTM) was used to identify groups of similar individual-level monthly opioid exposure patterns for adults with CP and matched adults without CP for 1-year starting from their first opioid exposure month. For the population-level, adults with (n = 13,929) versus without (n = 278,538) CP had a higher prevalence of opioid exposure (~ 12%, ~ 8%) and days supplied (median, ~ 23, ~17) monthly over 7 years. For the individual-level, there were 6 trajectory groups for CP (n = 2099) and 5 for non-CP (n = 10,361). Notably, 14% of CP (comprising 4 distinct trajectory groups) and 8% (comprising 3 distinct groups) of non-CP had variably high monthly opioid volume for extended periods; exposure was higher for CP. The remaining had low/absent opioid exposure trajectories; for CP (non-CP), 55.7% (63.3%) had nearly absent exposure and 30.4% (28.9%) had consistently low exposure to opioids. Adults with versus without CP were more likely to be exposed to opioids and for a longer duration, which may alter the risk-benefit balance of opioids.

Disparities in 30-day readmission rates among Medicare enrollees with dementia.

Readmissions contribute to excessive care costs and burden for people living with dementia. Assessments of racial disparities in readmissions among dementia populations are lacking, and the role of social and geographic risk factors such as individual-level exposure to greater neighborhood disadvantage is poorly understood. We examined the association between race and 30-day readmissions in a nationally representative sample of Black and non-Hispanic White individuals with dementia diagnoses. This retrospective cohort study used 100% Medicare fee-for-service claims from all 2014 hospitalizations nationwide among Medicare enrollees with dementia diagnosis linked to patient, stay, and hospital factors. The sample consisted of 1,523,142 hospital stays among 945,481 beneficiaries. The relationship between all cause 30-day readmissions and the explanatory variable of self-reported race (Black, non-Hispanic White) was examined via generalized estimating equations approach adjusting for patient, stay, and hospital-level characteristics to model 30-day readmission odds. Black Medicare beneficiaries had 37% higher readmission odds compared to White beneficiaries (unadjusted OR 1.37, CI 1.35-1.39). This heightened readmission risk persisted after adjusting for geographic factors (OR 1.33, CI 1.31-1.34), social factors (OR 1.25, CI 1.23-1.27), hospital characteristics (OR 1.24, CI 1.23-1.26), stay-level factors (OR 1.22, CI 1.21-1.24), demographics (OR 1.21, CI 1.19-1.23), and comorbidities (OR 1.16, CI 1.14-1.17), suggesting racially-patterned disparities in care account for a portion of observed differences. Associations varied by individual-level exposure to neighborhood disadvantage such that the protective effect of living in a less disadvantaged neighborhood was associated with reduced readmissions for White but not Black beneficiaries. Conversely, among White beneficiaries, exposure to the most disadvantaged neighborhoods associated with greater readmission rates compared to White beneficiaries residing in less disadvantaged contexts. There are significant racial and geographic disparities in 30-day readmission rates among Medicare beneficiaries with dementia diagnoses. Findings suggest distinct mechanisms underlying observed disparities differentially influence various subpopulations.

Linking the Urban Environment and Health: An Innovative Methodology for Measuring Individual-Level Environmental Exposures.

Environmental exposures (EE) are increasingly recognised as important determinants of health and well-being. Understanding the influences of EE on health is critical for effective policymaking, but better-quality spatial data is needed. This article outlines the theoretical and technical foundations used for the construction of individual-level environmental exposure measurements for the population of a northern English city, Bradford. The work supports 'Connected Bradford', an entire population database linking health, education, social care, environmental and other local government data over a period of forty years. We argue that our current understanding of environmental effects on health outcomes is limited both by methodological shortcomings in the quantification of the environment and by a lack of consistency in the measurement of built environment features. To address these shortcomings, we measure the environmental exposure for a series of different domains including air quality, greenspace and greenness, public transport, walkability, traffic, buildings and the built form, street centrality, land-use intensity, and food environments as well as indoor dwelling qualities. We utilise general practitioners' historical patient information to identify the precise geolocation and duration of a person's residence. We model a person's local neighbourhood, and the probable routes to key urban functions aggregated across the city. We outline the specific geospatial procedure used to quantify the environmental exposure for each domain and use the example of exposure to fast-food outlets to illustrate the methodological challenges in the creation of city and nationwide environmental exposure databases. The proposed EE measures will enable critical research into the relationship and causal links between the built environment and health, informing planning and policy-making.

Trends in Spatiotemporal Exposure to Air Pollutants and Adult Cardiovascular Emergency Room Visits in the Greater Pittsburgh, Pennsylvania, USA

Introduction The acute effects of air pollution and cardiovascular disease (CVD) have been studied, but very few studies have focused on spatiotemporally modeled exposure to air pollutants at the population level. This study aims to examine the short-term association of fine particulate matter (PM2.5), Ozone (O3), Nitrogen Dioxide (NO2) and Sulfur Dioxide (SO2) and CVD emergency room visits (ERV) in Allegheny County for a 13-year period using a case-crossover study design. Aim We sought to estimate the effects of acute exposure to these four pollutants adjusting for temperature on CVD ERV and to compare outcomes in 1999-2005 compared to 2006-2011. Methods Land-use regression was used to model the ground level exposures to PM2.5, O3, NO2 and SO2. CVD ER visits were requested from the local hospitals of the two health networks in Allegheny County, which operate the majority of the ER services. The discharge International Classification of Diseases-9 (ICD-9) codes were used to identify the CVD cases and CVD subgroups. We linked the Zone Improvement Plan (ZIP) code level air pollution data with the patients’ ZIP code (residence) to determine the individual level exposure estimation of both case days and control days. Conditional logistic regression with multi-pollutant and distributed lags of 0-3-days was applied to estimate the effect of acute exposure of these pollutants to CVD ER visits (ERV), adjusting for temperature. Results In the overall analyses, for every interquartile increase of O3 exposure (25.52 ppb), there was a 6.6% (95% CI: 0.8%-12.7%) increase in the odds of an acute myocardial infarction ERV. This was consistent across both time periods. Among women and Black ERV, we observed an association of PM2.5 with acute myocardial infarction, and with ischemic heart disease. Some of these associations persisted in the later years of the study period. The gaseous pollutants (NO2, SO2 and O3) were shown to increase risk of cardiovascular events in both time periods. Conclusion We found an association of PM2.5 and NO2 with CVD ER visits, and this association persisted in the stratified analyses, as well as in the later years with lower exposure levels. The findings suggest that further actions to reduce the pollution level in this area should be taken. Ozone and NO2 were related to increased risk for all CVD, ischemic heart disease (IHD) and acute myocardial infarction (AMI) underscoring the importance of gaseous pollutants and their effect on coronary heart disease (CHD) risk.

HIV stigma beliefs and unprotected sex among teenagers and young adults in sub-Saharan Africa: The moderating role of mass media exposure

Despite significant advances in the fight against HIV in sub-Saharan Africa, health experts remain concerned about new infections and risky sexual behavior among teenagers & young adults (T&YAs). These concerns have spurred efforts to buttress a voluminous literature on the social determinants of risky sexual behavior in Africa. Absent from this flurry of new scholarship is a consistent focus on associations between HIV stigma beliefs and risky sexual behavior, especially among T&YAs. Alongside health professionals’ concerns about sexual behaviors is growing alarm about a dramatic expansion of sexual content in African mass media markets, which experts suspect may lead to T&YA risky sexual behavior. Yet, little work using multi-country data has confirmed whether mass media exposure increases the likelihood of risky sexual behavior. We fill these two gaps in the literature using a Demographic and Health Survey sample of unpartnered sub-Saharan African people, ages 15–24, in 30 countries. With this sample, we examine the direct relationships between HIV stigma beliefs, mass media exposure, and unprotected sex. We also explore whether the effect of stigma beliefs on unprotected sex is moderated by individual and regional-level exposure to mass media content. We first find that the effect of HIV stigma beliefs is harmful or associated with increases in the probability of unprotected sex. Second, contrary to past findings, individual-level mass media exposure is protective, or associated with declines in the likelihood of unprotected sex. Third, the harmful effect of stigma attitudes is weakest when individual and regional-level mass media exposure are low, but strongest when individual and regional-level mass media exposure are high. These findings suggest that stigma beliefs can shape the sexual behaviors of African T&YAs in counterintuitive ways. They also show that mass media exposure can be simultaneously protective and harmful for this population.

An Online Interactive Dashboard to Explore Personal Exposure to Air Pollution

Studies increasingly examine individual exposure to air pollution while accounting for person-specific activity-travel patterns. Supporting policymakers and local communities using the resulting data requires transparent and ethical communication of exposure levels to affected individuals and other stakeholders. This paper asks how an interactive online dashboard might represent individual-level air pollution exposure profiles to different audiences while respecting individuals’ geoprivacy. Using data from 37 Oxford (UK) residents, it shows that heterogeneous individual-level exposure profiles can be shared ethically through different combinations of visualisation method, spatial and temporal resolution of data representation and Geomasking techniques for different dashboard user groups.

The impact of prevention-effective PrEP use on HIV incidence: a mathematical modelling study.

Models that project the impact and cost-effectiveness of HIV pre-exposure prophylaxis (PrEP) must specify how PrEP use aligns with HIV exposure. We hypothesized that varying PrEP use according to individual-level partnership dynamics rather than prioritization to population subgroups based on average risk will result in larger incidence reductions and greater efficiency. We used an individual-based network transmission model calibrated to HIV dynamics in Eswatini to simulate PrEP use among individuals ages 15-34 between 2022 and 2031 under two paradigms of PrEP delivery: "Risk Group" and "Partnership." In the "Risk Group" paradigm, we varied PrEP coverage by risk groups (low, medium and high) defined by average partnership frequency and concurrency. In the "Partnership" paradigm, all individuals are potentially eligible for PrEP, but we assumed use occurs only during partnerships and varied prioritization by partner HIV status (no prioritization to high prioritization with HIV-positive partners). We calculated person-time on PrEP and incidence relative to a no PrEP scenario and estimated efficiency as the person-years of PrEP needed to avert one additional infection (NNT). In the Risk Group paradigm, restricting PrEP to the high-risk group was the most efficient (NNT = 17), but the number of infections averted was limited by the small size of the high-risk group. Expanding PrEP use to all risk groups averted up to three times more infections but with lower efficiency (NNT = 202). PrEP use under the Partnership paradigm was 2-6 times more efficient (NNT = 33-102) than the Risk Group paradigm with all groups eligible for PrEP. A 33% reduction in incidence among 15- to 34-year-olds was achieved at 46% (95% CI: 39-52%) PrEP coverage in the Risk Group paradigm and 6% (95% CI: 5-7%) to 17% (95% CI: 14-20%) in the Partnership paradigm. Modelling PrEP use based on risk groups resulted in a sharp trade-off between PrEP efficiency and impact, whereas PrEP use predicated on partnerships resulted in much higher efficiency for widespread PrEP availability. Model estimates of PrEP impact and cost-effectiveness in generalized epidemics are strongly influenced by assumptions about how PrEP use aligns with individual-level HIV exposure heterogeneity.

Residential greenspace and childhood asthma: An intra-city study

Interest in assessing the effects of exposure to greenspace on human health has been increasing due to rapid urbanization, and rising trends of physical inactivity and air pollution. However, findings on the link between greenspace and child respiratory health, especially asthma, are inconsistent. We investigated the association between greenspace surrounding residential addresses and asthma in children. A city-wide cross-sectional study was conducted, involving 16,605 children aged 3–12 years, in Shanghai, China. Data on asthma symptoms and covariates were collected from validated self-reported questionnaires. Residential greenspace was measured using satellite-derived normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI). Information on ambient temperature and particulate matter with dynamic diameter <1 μm (PM1) and 2.5 μm (PM2.5) was also collected from satellite data. Logistic regression models were performed to assess the associations of greenspace exposure with childhood asthma as well as the effect modification by covariates. The prevalence of current asthma in children was 4.8 % in this study. An interquartile range increase in mean NDVI from 2016 to 2018 was associated with decreased odds of asthma in 2019 at 500 m, and 250 m resolutions (0.82, 95 % confidence interval (CI): 0.74 to 0.93; and 0.82, 95 % CI: 0.72 to 0.94, respectively) after adjustment for covariates. The greenspace-asthma association was modified by ambient temperature and residential area. Sensitivity analyses using various models and EVI exposure showed the robustness of the results. In conclusion, higher individual-level exposure to greenspace was associated with decreased odds of asthma in children, and the association appeared to be modified by different environmental and socio-demographic factors. These findings provide additional evidence for promoting urban greenness to protect children's health and well-being.

Outdoor light at night and risk of endometrial cancer in the NIH-AARP diet and health study.

Outdoor light at night (LAN) can result in circadian disruption and hormone dysregulation and is a suspected risk factor for some cancers. Our study is the first to evaluate the association between LAN and risk of endometrial cancer, a malignancy with known relationship to circulating estrogen levels. We linked enrollment addresses (1996) for 97,677 postmenopausal women in the prospective NIH-AARP cohort to satellite imagery of nighttime radiance to estimate LAN exposure. Multivariable Cox models estimated hazard ratios (HR) and 95% confidence intervals (95% CI) for LAN quintiles and incident endometrial cancer overall (1,669 cases) and endometrioid adenocarcinomas (991 cases) through follow-up (2011). We tested for interaction with established endometrial cancer risk factors. We observed no association for endometrial cancer overall (HRQ1vsQ5 0.92; 95% CI 0.78-1.08; p trend = 0.67) or endometrioid adenocarcinoma (HRQ1vsQ5 1.01; 95% CI 0.82-1.24; p trend = 0.36). Although body mass index and menopause hormone therapy were both associated with risk, there was no evidence of interaction with LAN (p interactions = 0.52 and 0.50, respectively). Our study did not find an association between outdoor LAN and endometrial cancer risk, but was limited by the inability to account for individual-level exposure determinants. Future studies should consider approaches to improve characterization of personal exposures to light.

Assessment of Individual-Level Exposure to Airborne Particulate Matter during Periods of Atmospheric Thermal Inversion.

Air pollution exposure is harmful to human health and reducing it at the level of an individual requires measurements and assessments that capture the spatiotemporal variability of different microenvironments and the influence of specific activities. In this paper, activity-specific and general indoor and outdoor exposure during and after a period of high concentrations of particulate matter (PM), e.g., an atmospheric thermal inversion (ATI) in the Ljubljana subalpine basin, Slovenia, was assessed. To this end, personal particulate matter monitors (PPM) were used, worn by participants of the H2020 ICARUS sampling campaigns in spring 2019 who also recorded their hourly activities. ATI period(s) were determined based on data collected from two meteorological stations managed by the Slovenian Environmental Agency (SEA). Results showed that indoor and outdoor exposure to PM was significantly higher during the ATI period, and that the difference between mean indoor and outdoor exposure to PM was much higher during the ATI period (23.0 µg/m3) than after (6.5 µg/m3). Indoor activities generally were associated with smaller differences, with cooking and cleaning even having higher values in the post-ATI period. On the other hand, all outdoor activities had higher PM values during the ATI than after, with larger differences, mostly >30.0 µg/m3. Overall, this work demonstrated that an individual-level approach can provide better spatiotemporal resolution and evaluate the relative importance of specific high-exposure events, and in this way provide an ancillary tool for exposure assessments.

Nitrogen dioxide increases the risk of disease progression in idiopathic pulmonary fibrosis.

Air pollution affects clinical course and prognosis of idiopathic pulmonary fibrosis (IPF). However, the effect of individual exposure to air pollutants on disease progression is unclear. We aimed to identify the effect of individual exposure to nitrogen dioxide (NO2 ) and particulate matter (aerodynamic diameter ≤ 10μm [PM10 ]) on disease progression in patients with IPF. The serial lung function data of 946 IPF patients (mean age: 65.4 years, male: 80.9%) were analysed. Individual-level long-term exposures to NO2 and PM10 at the residential addresses of patients were estimated using a national-scale exposure prediction model, constructed based on air quality regulatory monitoring data. Progression was defined as a relative decline (≥10%) in forced vital capacity. Individual- and area-level covariates were adjusted in the primary analysis model. Overall, 547 patients (57.8%) experienced progression during a median follow-up of 1.0year (interquartile range: 0.4-2.6 years). In the primary model, a 10-ppb increase in NO2 concentration was associated with a 10.5% increase in the risk of progression (hazard ratio [HR]=1.105; 95% CI=1.000-1.219) in patients with IPF. There was also an increasing trend of progression in patients with IPF according to the second to fourth quartiles of NO2 (Q2 [HR=1.299; 95% CI=0.972-1.735], Q3 [1.409; 1.001-1.984], Q4 [1.598; 1.106-2.310]) compared to the first quartile. We found no association between PM10 and progression in IPF patients. Our data suggest that increased individual exposure to NO2 can increase the risk of progression in patients with IPF.

Residential exposure to pesticides and birth outcomes using the Dutch birth registry

BACKGROUND AND AIM: To explore associations between residential exposure to specific pesticides and birth outcomes using individual level exposure and pregnancy/birth data. METHODS: From all singleton births from 2009-2013 in the Dutch birth registry we selected mothers &amp;#x3e;16 years-old living in non-urban areas that had complete address history and changed addresses at most once during pregnancy (N=325,435). We selected 12 active ingredients (AIs) with some evidence of reproductive toxicity and that were used in the Netherlands according to a farmers’ survey from 2008 and explored a further 127 AIs. We estimated amount used (kg) within buffers of 50, 100, 250 and 500 meters around each mother&amp;#x27;s home during pregnancy. We used generalized linear models to investigate associations between AIs and gestational age, birth weight, low birth weight (LBW), small for gestational age (SGA), large for gestational age (LGA), still births/infant mortality, and prematurity, adjusting for individual and area-level confounders. We further used minimax concave penalty with a stability selection step to identify which AIs could further be related to the birth outcomes among the 12 and the additional 127 AIs. RESULTS: Maternal residential exposure to linuron was associated with increased birth weight [β [95% confidence interval] 296.49 [56.07, 536.90], 74.32 [27.92, 120.72], 13.87 [6.86, 20.88] and 1.93 [0.56, 3.30], in 50m, 100m, 250m and 500m buffers) and higher odds of LGA babies (OR [95% CI] 5.72 [1.04, 31.58], 1.49 [1.06, 2.08], 1.07 [1.02, 1.13], 1.01 [1.00, 1.02], respectively). Variable selection also yielded the same associations, and further identified signals for a relationship between fluroxypir-meptyl and gestational age, picoxystrobin and LGA, and glufosinate and LBW. CONCLUSIONS: Residential proximity to linuron during pregnancy was associated to increased birth weight and being large for gestational in babies. Other possible associations were identified that need further investigation. KEYWORDS: residential pesticide exposure, birth registry

Associations between Exposure to Prenatal Air Pollution Mixtures and Behavioral Problems in Urban Children

BACKGROUND AND AIM: Previous studies investigating associations between prenatal air pollution and childhood behavior mainly focused on PM2.5, while little is known about the effect of air pollution mixtures and exposure timing throughout pregnancy. We used individual-level daily exposure data and implemented novel weighting approaches to assess effects of prenatal exposure to a mixture of seven air pollutants on behavioral outcomes in children from a Northeastern United States urban pregnancy cohort. METHODS: Participants included 234 full-term singleton children (&amp;#x2265;37 weeks gestation). Children completed the Behavior Assessment System for Children 2nd Edition (BASC-2) at age 6.5&amp;#xb1;0.9 years. Daily exposure levels for nitrogen dioxide (NO₂), ozone (O₃), and constituents of fine particles [elemental carbon (EC), organic carbon (OC), nitrate (NO₃−), sulfate (SO₄²−), ammonium (NH₄+)] were estimated based on residential addresses using satellite-hybrid models and 3D chemical-transport models. Time-weighted exposure levels of the seven air pollutants in the mixture were estimated using Bayesian Kernel Machine Regression Distributed Lag Models. We subsequently used in multivariable linear regressions including time-weighted exposures for all pollutants in the mixture., adjusted for sex, maternal age, education, and temperature. Effect modification by sex was also examined. RESULTS: Participants were primarily Hispanic (59%) and Black (25%), with &amp;#x2264;12 years of education (68%). Time-weighted O₃ level (per one standard deviation increase) was associated with 4.77% increase in External Problems (95%CI= 0.7%–9%), 4.41% increase in Aggression (95%CI=0.9%–8.1%), 4.36% increase in Internal Problems (95%CI=0.5%–8.3%), and 4.18% increase in Anxiety (95%CI=0.1%–8.4%). When stratified by sex, these associations were only significant in boys. Time-weighted OC level was significantly associated with Internal Problems in girls only (4.6% increase, 95%CI=1.7%–7.7%). CONCLUSIONS: In a prenatal air pollution mixture, ozone is associated with child behavioral problems, and the association is specific to sex and measured outcome scale. KEYWORDS: mixture, air pollution, prenatal, children behavior