Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2019 Jul 1.
Published in final edited form as: Environ Res. 2018 Feb 23;164:93–99. doi: 10.1016/j.envres.2018.02.022

Residential Proximity to Agricultural Fumigant Use and Respiratory Health in 7-year Old Children

Robert B Gunier 1,*, Rachel Raanan 1,2, Rosemary Castorina 1, Nina T Holland 1, Kim G Harley 1, John R Balmes 3,4, Laura Fouquette 1, Brenda Eskenazi 1, Asa Bradman 1
PMCID: PMC5911232  NIHMSID: NIHMS946019  PMID: 29482188

Abstract

Objectives

To examine the relationship between residential proximity to agricultural fumigant use and respiratory symptoms and lung function in 7-year old children.

Methods

Participants were 294 children living in the agricultural Salinas Valley, California and enrolled in the Center for the Health Assessment of Mothers and Children Of Salinas (CHAMACOS) study. We obtained information on respiratory symptoms and asthma medication use from maternal questionnaires and children performed spirometry to determine the forced expiratory volume in one second (FEV1), forced vital capacity (FVC), and forced expiratory flow 25–75% (FEF25–75) at 7-years of age. We estimated agricultural fumigant use within 3, 5 and 8 km of residences during pregnancy and from birth to age 7 using California’s Pesticide Use Report data. We evaluated the association between prenatal and postnatal residential proximity to agricultural use of methyl bromide, chloropicrin, metam sodium and 1,3-dichloropropene with respiratory symptoms and use of asthma medication with logistic regression models and continuous lung function measurements with linear regression models adjusted for confounders.

Results

There were no significant associations between residential proximity to use of fumigants and respiratory symptoms or use of asthma medication. We did not observe any adverse relationships between residential proximity to fumigant use and lung function measurements. Unexpectedly, we observed suggestive evidence of improved FEV1 and FEF25–75 with higher use of methyl bromide and chloropicrin during the prenatal period. For example, for each 10-fold increase in methyl bromide use during the prenatal development period we observed higher FEV1 (β=0.06 L/s; 95% CI: 0.00, 0.12) and higher FEF25–75 (β=0.15 L/s; 95% CI: 0.03, 0.27). Maternal report of child allergies (runny nose without a cold during the previous year) modified the relationship between FEV1 and prenatal proximity to methyl bromide use (p = 0.07) and we only observed higher FEV1 among children without allergies (β=0.08 L/s; 95% CI: 0.02, 0.14 for a 10-fold increase in methyl bromide use during the prenatal period).

Conclusions

Residential proximity to agricultural fumigant use during pregnancy and childhood did not adversely affect respiratory health in the children through 7 years of age. These findings should be explored in larger studies.

Keywords: Child, Fumigants, Lung Function, Pesticides, Respiratory Symptoms

1. Introduction

Metam sodium, 1, 3-dichloropropene (1,3-DCP), methyl bromide, and chloropicrin are high-use agricultural fumigants that account for about 20% of the annual pesticide usage in California (CDPR 2012). These fumigants are known respiratory toxicants and were the top four pesticides ranked by chronic health risk based on a risk assessment conducted in the early 2000s (Lee et al. 2002). Methyl bromide, 1, 3-DCP and chloropicrin have also been identified as the top three pesticides of public health concern used near schools (CDPH 2014). An evaluation of pesticide drift-related illnesses in 11 states found that the largest percentage of cases were related to fumigant applications, indicating the particularly hazardous nature of these substances (Lee et al. 2011).

Methyl bromide was banned by the Montreal Protocol due to harmful effects on the ozone layer and is currently being phased out of use, resulting in increased usage of chloropicrin, metam sodium and 1,3-DCP in recent years (CDPR, 2016). Cases of acute methyl bromide exposure in adults and children have produced symptoms such as shortness of breath, pulmonary edema, cough, respiratory irritation and respiratory arrest (Goldman et al. 1987; Deschamps and Turpin 1996; Squier et al. 1992; Breeman 2009). In the Agricultural Health Study, which examines pesticides and health in a cohort of pesticide applicators and their families, methyl bromide application was associated with higher prevalence of chronic bronchitis in nonsmoking wives of farmers (Valcin et al. 2007).

Metam sodium degrades into methylisothiocyanate, which is known to irritate respiratory tissue (CDPR 2004), and then further breaks down into methylisocyanate, the active ingredient responsible for the Bhopal tragedy that killed more than 3500 people (Dhara 1992). In the Bhopal tragedy the most common and serious problems were related to respiratory symptoms (Mehta et al. 1990). Cases of metam sodium-related illnesses have involved minor respiratory symptoms including coughing and dyspnea (Bretaudeau Deguigne et al. 2011). A metam sodium spill in California resulted in persistent respiratory health problems (including irritant-induced asthma) for nearby residents (Cone et al. 1994). In a case study of drift from a metam sodium application in California, an association between cases of respiratory illness in nearby residents and proximity to the application area was observed (O'Malley et al. 2005).

Increased respiratory symptoms have been reported as a result of community exposure to chloropicrin following application (Barry et al. 2010; CDC 2004). A larger analysis of chloropicrin-related illness in California from 1992–2003 found that 54% of cases involved respiratory irritation (Oriel et al. 2009). Toxicology studies conducted on rodents have shown that 1, 3-DCP exposure is related to benign lung tumor incidence as well as enlargement of the respiratory epithelium (Lomax et al. 1989; Stott et al. 2001; Breslin et al. 1989).

Several epidemiological studies have found an association between occupational exposure to pesticides and an increased risk of respiratory symptoms and asthma (Mamane et al. 2015). No research to date has been conducted on fumigant exposure and respiratory health in children, who are particularly vulnerable to inhalation risk due to relatively higher inhalation-rate-to-body-weight ratios (Lee et al. 2002). There are no biomarkers available to assess human exposure to fumigants in epidemiologic studies (Magnavita, 2009). Residential proximity to fumigant use is currently the best method to characterize potential exposure to fumigants. California has maintained a Pesticide Use Reporting (PUR) system which requires commercial growers to report all agricultural pesticide use since 1990 (CDPR 2016). A study using PUR data showed that methyl bromide use within ~8 km radius around monitoring sites explained 95% of the variance in methyl bromide air concentrations, indicating a direct relationship between nearby agricultural use and potential community exposure (Li et al., 2005). In the present study, we investigate associations of residential proximity to agricultural fumigant usage during pregnancy and childhood with respiratory symptoms and pulmonary function in 7-year-old children participating in the Center for the Health Assessment of Mothers and Children of Salinas (CHAMACOS), a longitudinal birth cohort study of primarily low-income Latino farmworker families living in the agricultural community of the Salinas Valley, California.

2. Methods

2.1. Study population

We enrolled 601 pregnant women in the CHAMACOS study between October 1999 and October 2000. Women were eligible for the study if they were ≥18 years of age, <20 weeks gestation, planning to deliver at the county hospital, English or Spanish speaking, and eligible for low-income health insurance (Medi-Cal). We followed the women through delivery of 537 live-born children. Research protocols were approved by The University of California, Berkeley, Committee for the Protection of Human Subjects. We obtained written informed consent from the mothers and children’s oral assent at age 7.

Information on respiratory symptoms and use of asthma medication was available for 347 children at age 7. Spirometry was performed by 279 of these 7-year-olds. We excluded participants from the prenatal analyses for whom we had residential history information for less than 80% of their pregnancy. We excluded participants from the postnatal analyses for whom we had residential history information for less than 80% of the child’s lifetime from birth to the date of the 7 year assessment. Prenatal estimates of proximity to fumigant applications and relevant covariate data were available for 257 children and postnatal estimates of proximity to fumigant applications and relevant covariate data were available for 276 children for whom we obtained details of prescribed asthma medications and respiratory symptoms. Prenatal estimates of proximity to fumigant applications and relevant covariate data were available for 229, 208, and 208 children for whom we had FEV1, FVC and FEF25–75 measurements, respectively. Postnatal estimates of proximity to fumigant applications and relevant covariate data were available for 212, 193, and 193 children with FEV1, FVC and FEF25–75 measurements, respectively.

A total of 294 participants were included in either the prenatal or postnatal analyses. Participants included in this analysis did not differ significantly from the original full cohort on most attributes, including maternal asthma, maternal education, marital status, poverty category, and child’s birth weight. However, mothers of children included in the present study were slightly older (mean age 26.7 versus 24.9, p<0.01) and more likely to be Latino (99.3% versus 93.4%, p<0.01) than those from the initial cohort.

2.2. Maternal interviews and respiratory symptoms

Women were interviewed twice during pregnancy (M±SD=13.4±4.7, 26.5±2.6 weeks gestation), following delivery, and when their children were 0.5, 1, 2, 3.5, 5, and 7 years old. Information from prenatal and delivery medical records was abstracted by a registered nurse. Home visits were conducted by trained personnel during pregnancy (~13 weeks gestation) and when the children were 0.5, 1, 2, 3.5 and 5-years old. At the 7-year-old visit, mothers were interviewed about their children’s respiratory symptoms, using questions adapted from the International Study of Asthma and Allergies in Childhood (ISAAC) questionnaire (Asher et al. 1995; Raanan et al. 2015). Additionally, mothers were asked whether the child had been prescribed any medication for asthma or wheezing/whistling, or tightness in the chest.

We defined respiratory symptoms as a binary outcome based on a positive response at the 7-year-old visit to any of the following during the previous 12 months: (1) wheezing or whistling in the chest; (2) wheezing, whistling, or shortness of breath so severe that the child could not finish saying a sentence; (3) trouble going to sleep or being awakened from sleep because of wheezing, whistling, shortness of breath, or coughing when the child did not have a cold; or (4) having to stop running or playing active games because of wheezing, whistling, shortness of breath, or coughing when the child did not have a cold. In addition, a child was included as having respiratory symptoms if the mother reported use of asthma medications, even in the absence of the above symptoms.

2.3. Spirometry

We measured the child’s height and weight at the time that spirometry was performed. Three identical EasyOne spirometers were used (ndd Medical Technologies, Inc., Andover, MA). Routine calibration was performed every morning and 92% of tests were conducted by the same technician. The expiratory flow-volume curves were reviewed by two physicians experienced in pediatric spirometry, and only adequate quality data were included in the statistical analyses. Some participants with adequate quality data for FEV1 did not provide adequate quality data to calculate FVC or FEF25–75. Young children have difficulty sustaining forceful exhalation after a deep breath that is required to produce a plateau in airflow and calculate FVC and subsequently FEF25–75. Each child performed a maximum of eight expiratory maneuvers and up to three best acceptable tests were saved by the spirometric device software.

2.4. Geographic-based estimates of nearby fumigant use

Latitude and longitude coordinates of participants’ homes were collected during home visits during pregnancy (~13 weeks gestation) and when the children were 0.5, 1, 2, 3.5 and 5 years old using a handheld Global Positioning System (GPS) unit (Garmin, GPS II, Chicago, IL). At the 7-year visit, mothers were asked if the family had moved since the 5-year visit, and if so, the new address was recorded. We used Geographic Information System (GIS) software (ArcInfo 10, ESRI, Redlands, CA) to geocode the new addresses and obtain coordinates. Residential mobility was common in the study population.

We estimated the use of agricultural fumigants near each child’s residence using a GIS based on the location of each child’s residence and the Pesticide Use Report (PUR) data (CDPR 2016). Mandatory reporting of all agricultural pesticide applications is required in California, including the active ingredient, quantity applied, acres treated, crop treated, and date and location within 1-square-mile sections (approximately 1.6 km by 1.6 km) defined by the Public Land Survey System (PLSS). Before analysis, the PUR data were edited to correct for likely outliers with unusually high application rates using previously described methods (Gunier et al. 2001). We computed nearby fumigant use (i.e., estimates of the total amount of fumigants (kg) applied within each buffer distance) for combinations of distance from the residence (buffer radii of 3, 5, and 8 km) and time periods (prenatal during pregnancy, postnatal from birth to 7-year visit, and the year prior to the 7-year visit). The range of distances best captured the spatial scale that most strongly correlated with concentrations of methyl bromide (Li et al. 2005) and 1,3-DCP in air (van Wesenbeeck et al 2016). We weighted fumigant use near homes based on the proportion of each square-mile PLSS that was within each buffer surrounding a residence. To account for the potential downwind transport of fumigants from the application site, we obtained data on wind direction from the closest meteorological station (CIMIS, 2014). We calculated wind frequency using the proportion of time that the wind blew from each of eight directions during the week after the fumigant application to capture the peak time of fumigant emissions from treated fields (Yates et al. 2015). We determined the direction of each PLSS section centroid relative to residences and weighted fumigant use in a section according to the percentage of time that the wind blew from that direction for the week after application. We summed fumigant use over pregnancy (prenatal), from birth to the 7-year visit (postnatal) and for the year prior to the 7-year visit yielding estimates of the wind-weighted amount of each fumigant (kg) applied within each buffer distance and time period around the corresponding residences for each child.

2.5. Data analysis

We log10 transformed continuous fumigant use variables (1 kg was added to all values to avoid taking the log of 0) to reduce heteroscedasticity and the influence of outliers, and to improve the fit of the models. We used logistic regression models to estimate odds ratios of respiratory symptoms and/or asthma medication use with residential proximity to fumigant use. Our primary outcome was respiratory symptoms defined as positive if during the previous 12 months the mother reported for her child any respiratory symptoms or the use of asthma medications, even in the absence of such symptoms (Raanan et al. 2015). We also examined asthma medication use alone. The continuous lung function measurements (FEV1, FVC, and FEF25–75) were approximately normally distributed, therefore we used linear regression models to estimate the associations with residential proximity to fumigant use. We estimated the associations between the highest spirometric measures for children who had one, two or three maneuvers. We fit separate regression models for each combination of outcome, fumigant, time period, and buffer distance.

We selected covariates a priori based on our previous studies of respiratory symptoms (Raanan et al. 2014; Raanan et al. 2017) and respiratory function (Raanan et al. 2016; Raanan et al. 2017) in this cohort. For logistic regression models of respiratory symptoms and asthma medication use, we included maternal smoking during pregnancy (yes/no) and signs of moderate or extensive mold noted at either home visit (when child was six and 12 months old). We also included season of birth (wet/pollen/dry/mold) to control for other potential exposures that might play a causal role in respiratory disease (i.e., wetness (winter), pollen (spring), dryness (summer), and mold (fall)). We defined the seasons of birth as follows: pollen (mid-January to mid-May), dry (mid-May to mid-August), mold (mid-August to mid-January) based on measured pollen and mold counts during the years the children were born (Harley et al. 2009). In addition, we controlled for allergy (Downs et al. 2007; Spanier et al. 2014) using a proxy variable: runny nose without a cold in the previous 12 months reported at age 7. Because allergy could be on the causal pathway, we also re-ran all models without adjusting for allergy. Results were similar and therefore we only present models controlling for allergy.

Additionally, for spirometry analyses only, we adjusted for the technician performing the test, and child’s age, sex and height. We included household food insecurity score during the previous 12 months (using the U.S. Household Food Security Instrument, Spanish Version) (Harrison et al. 2003), breastfeeding duration (months), and whether furry pets were in the home at the 7 year visit to control for other factors related to lung function. We also adjusted for mean daily particulate matter concentrations with aerodynamic diameter ≤ 2.5 µm (PM2.5) during the first 3 months of life and whether the home was located ≤150m from a highway in first year of life determined using GIS, to control for air pollution exposures related to lung function. We calculated average PM2.5 concentration in the first 3 months of life using data from the Monterey Unified Air Pollution Control District air monitoring station. In all lung function models of postnatal fumigant use, we included prenatal use of that fumigant as a confounder.

To test for non-linearity, we used generalized additive models (GAMs) with three-degrees-of-freedom cubic spline functions including all the covariates included in the final lung function models. None of the digression from linearity tests were significant (p<0.1); therefore, we expressed fumigant use on the continuous log10 scale in multivariable linear regression models. Regression coefficients represent the mean change in lung function for each 10-fold increase in wind-weighted fumigant use.

We conducted sensitivity analyses to verify the robustness and consistency of our findings. We included other estimates of pesticide exposure in our models that have been related to respiratory symptoms or lung function in previous analyses of the CHAMACOS cohort. Specifically, we included child urinary concentrations of dialkylphosphate metabolites (DAPs), a non-specific biomarker of organophosphate (OP) pesticide exposure using the area under the curve calculated from samples collected at 6-months, 1, 2, 3.5 and 5 years of age (Raanan et al. 2015; Raanan et al. 2016). We also included agricultural sulfur use within 1-km of residences during the year prior to lung function measurement (Raanan et al. 2017). We used similar methods as described above for fumigants to calculate wind-weighted sulfur use, except with a 1-km buffer and the proportion of time that the wind blew from each of eight directions during the previous year. The inclusion of these two pesticide exposures reduced our study population with complete data for respiratory symptoms (n= 204) and lung function (n = 165 for FEV1 and n = 148 for FVC and FEF25–75). Previous studies have observed an increased risk of respiratory symptoms and asthma with higher levels of p, p’-dichlorodiphenyltrichloroethylene (DDT) or p, p’-dichlorodiphenyldichloro-ethylene (DDE) measured in cord blood (Mamane et al. 2015). As a sensitivity analysis, we included log10-transformed lipid-adjusted concentrations (ng/g-lipid) of DDT and DDE measured in prenatal maternal blood samples (Eskenazi et al. 2006). We also used Poisson regression to calculate adjusted risk ratios for respiratory symptoms and asthma medication use for comparison with the ORs estimated using logistic regression because ORs can overestimate risk in cohort studies (Knol et al. 2012).

In additional analyses of spirometry outcomes, we also excluded those children who reported using any prescribed medication for asthma, wheezing, or tightness in the chest during the last 12 months to investigate whether medication use may have altered spirometry results. We ran models including only those children with at least two acceptable reproducible maneuvers (acceptable reproducibility is achieved when the difference between the largest and the next largest FEV1 is ≤0:15 L). We ran all models excluding outliers identified with studentized residuals greater than three. We assessed whether asthma medication or child allergies modified the relationship between lung function and fumigant use by creating interaction terms and running stratified models. To assess potential selection bias due to loss to follow-up, we ran regression models that included stabilized inverse probability weights (Hernan et al. 2004). We determined the weights using multiple logistic regression with inclusion as the outcome and independent demographic variables as the predictors. Data were analyzed with Stata (version IC13.0; StataCorp, College Station, TX) and R (v.3.1; R Foundation for Statistical Computing, Vienna, Austria). We set statistical significance at p<0.05 for all analyses, but since we evaluated many combinations of outcomes, fumigants, distances and time periods we assessed adjustment for multiple comparisons using the Benjamini-Hochberg false discovery rate at p<0.05 (Hochberg and Benjamini 1990).

3. Results

3.1. Demographics and distributions

Most mothers were born in Mexico (87.8%), below age 30 at time of delivery (73.5%), and married or living as married (82.3%) at the time of study enrollment (Table 1). Nearly all mothers (95.9%) did not smoke during pregnancy. When cohort participants were 6 and 12 months old, most households (66.7%) showed signs of moderate or extensive mold at either visit. At age 7, based on maternal report, the majority (71.1%) of families was living below the Federal Poverty Level, 15.7% of cohort children experienced a runny nose without a cold within the past year, 16.3% displayed asthma symptoms, and 6.1% were currently taking asthma medication.

Table 1.

CHAMACOS study cohort characteristics (n=294).

Cohort Characteristic N %
Maternal Country of Birth
  Mexico 258 87.8%
  United States and other 36 12.2%
Maternal Age at Delivery
  18 – 24 112 38.1%
  25 – 29 104 35.4%
  30 – 34 50 17.0%
  35 – 45 28 9.5%
Maternal Education
  ≤ 6th grade 133 45.2%
  7th grade or more 161 54.8%
Marital Status at enrollment
  Married/Living as married 242 82.3%
  Not married 52 17.7%
Mother smoked during pregnancy
  Yes 12 4.1%
  No 282 95.9%
Maternal body mass index at 7y visit (kg/m2)a 276 30.8 (27.5 – 34.5)
Sex
  Girl 153 52.0%
  Boy 141 48.0%
Child body mass index at 7y visit (kg/m2)a 294 18.0 (16.1 – 21.2)
Mold at 6m or 12m visit
  Yes 196 66.7%
  No 98 33.3%
Family income at 7y visitb
  < Poverty level 209 71.1%
  ≥ Poverty level 85 28.9%
Runny nose without cold in past year at 7y visit
  Yes 46 15.7%
  No 248 84.4%
Wheezing in the past year at 7y visit
  Yes 20 6.8%
  No 274 93.2%
Any respiratory symptoms in past year at 7y visit
  Yes 48 16.3%
  No 246 83.7%
Current asthma medication use at 7y visit
  Yes 18 6.1%
  No 276 93.9%
a

Body mass index (kg/m2)= median (25th – 75th percentiles).

b

Poverty level at 7 year visit was imputed from the nearest available visit for n=3 participants.

Table 2 shows the distributions of wind-weighted fumigant use within 8 km of CHAMACOS residences during the prenatal and postnatal exposure periods. Methyl bromide and chloropicrin were the most heavily used fumigants during the prenatal period, with mean ± SD wind-adjusted use of 13,380 ± 10,437 and 8,665 ± 6,816 kg, respectively. Reflecting declines in methyl bromide use, the use of chloropicrin was greater than the use of methyl bromide during the postnatal period, with median values of 127,977 and 109,616 kg during the 7 years, respectively. When we examined correlations within each fumigant, use within 3, 5, and 8 km from the home was highly correlated (p<0.001) for each fumigant (Supplemental Table 1). Fumigant use during the prenatal and postnatal periods was also highly correlated (r = 0.8) for methyl bromide and chloropicrin, but was not correlated for metam sodium use and was inversely correlated for 1,3-DCP use (r = −0.4). We also examined correlations among fumigants and observed high correlations between prenatal methyl bromide and chloropicrin use (r = 0.96) and between prenatal metam sodium and 1,3-DCP use (r = 0.7). There were negative correlations between prenatal methyl bromide and chloropicrin use with prenatal metam sodium and 1,3-DCP use (Supplemental Table 1).

Table 2.

Distributions of wind-weighted agricultural fumigant use (kg) within 8 km of residence and lung function measurements at 7 years of age.

N Mean ± SD 25th 50th 75th Max
Prenatal pesticide use (kg)
  Methyl bromide 257 13,380 ± 10,437 3,293 13,567 21,009 56,433
  Chloropicrin 257 8,665 ± 6,816 1,551 8,756 13,672 34,990
  Metam sodium 257 466 ± 1,451 0 0 0 8,577
  1,3-DCP 257 867 ± 1,770 4 29 554 8,232
Postnatal pesticide use (kg)
  Methyl bromide 276 88,449 ± 59,061 22,331 109,616 134,086 348,958
  Chloropicrin 276 97,869 ± 67,513 11,405 127,977 152,276 287,351
  Metam sodium 276 10,166 ± 9,558 1,682 5,246 21,519 54,621
  1,3-DCP 276 60,773 ± 45,929 17,196 59,634 101,730 154,018
Lung function measurements at age 7y
  FEV1 (L/s), Mean ± SD 262 1.81 ± 0.47 1.44 1.75 2.21 2.72
  FVC (L), Mean ± SD 239 2.08 ± 0.54 1.62 2.07 2.56 3.09
  FEF25–75 (L/s), Mean ± SD 239 2.54 ± 0.88 1.85 2.44 3.30 5.10

The distributions of lung function measurements at 7 years of age are presented in Table 2. The mean ± SD for FEV1, FVC and FEF25–75 were 1.81 ± 0.47 L/s, 2.08 ± 0.54 L and 2.54 ± 0.88 L/s, respectively.

3.2. Respiratory symptoms and asthma medication use

The adjusted odds ratios (OR) and 95% confidence intervals (95% CI) for respiratory symptoms and use of asthma medication with prenatal and postnatal fumigant use within 8 km of residences are presented in Table 3. There were no significant relationships with either prenatal or postnatal fumigant use. Results within 3 and 5 km of the home are shown in Supplemental Table 2. We observed borderline significant increased odds of asthma medication use with postnatal metam sodium use within 3 and 5-km with OR=1.5 (95% CI: 1.0–2.2, p=0.05) and OR=2.2 (95% CI: 0.8–6.0, p=0.11), respectively.

Table 3.

Adjusted* odds ratios (95% Confidence Interval) for a 10-fold increase in wind-adjusted fumigant use (kg) within 8-km radius of a child's residence during prenatal and postnatal periods with respiratory symptoms and asthma medication at 7 years of age,CHAMACOS study, 1999 – 2007.

Exposure Respiratory
symptoms
OR (95% CI)
p Asthma
medication
OR (95% CI)
p
Prenatal (n = 257)
  Methyl bromide 1.1 (0.8–1.6) 0.55 1.0 (0.6–1.8) 0.87
  Chloropicrin 1.1 (0.8–1.4) 0.66 1.0 (0.6–1.5) 0.94
  Metam sodium 1.0 (0.8–1.3) 0.88 1.2 (0.8–1.8) 0.35
  1,3-DCP 1.1 (0.8–1.4) 0.58 1.3 (0.9–2.0) 0.17
Postnatal (n = 276)
  Methyl bromide 1.0 (0.6–1.6) 0.93 0.8 (0.4–1.7) 0.63
  Chloropicrin 1.0 (0.6–1.5) 0.87 0.9 (0.5–1.6) 0.61
  Metam sodium 0.9 (0.6–1.4) 0.72 1.3 (0.7–2.7) 0.41
  1,3-DCP 1.2 (0.6–2.4) 0.64 1.3 (0.4–3.6) 0.66
*

Adjusted for maternal smoking during pregnancy, season of birth (wet/pollen/dry mold), signs of moderate/extensive mold at home visit (6 or 12 months), and runny nose without a cold reported at age 7y.

3.3. Lung function

Adjusted associations between a 10-fold increase in the amount of fumigants applied within 8 km of the home and the highest lung function measurements are presented in Table 4. We did not observe any significant adverse relationships between prenatal or postnatal fumigant use within 8 km and lung function. A 10-fold increase in wind-adjusted prenatal methyl bromide use within 8 km was associated with higher FEV1 (β=0.06; 95% CI: 0.0, 0.12; p=0.05) and FEF25–75 (β=0.15; 95% CI: 0.03, 0.27; p=0.01). Additionally, a 10-fold increase in wind-adjusted prenatal chloropicrin use within 8 km was positively associated with FEF25–75 (β=0.11; 95% CI: 0.0, 0.21; p=0.05). Associations between methyl bromide and chloropicrin use and lung function observed in the prenatal exposure period were not observed in the postnatal period. Results were similar, although no longer statistically significant, for prenatal methyl bromide and chloropicrin use within 5 km of residences (Supplemental Table 3). There were no associations between fumigant use within 3 km of residences and lung function (Supplemental Table 3). We did not observe associations between postnatal fumigant use at any distance and lung function measurements (Table 4 and Supplemental Table 4) or between fumigant use during the year prior to the assessment and lung function measurements (Supplemental Table 5).

Table 4.

Adjusted* association between a 10-fold increase in wind-adjusted fumigant use (kg) within 8 km of residences and lung function measurements at 7 years of age, CHAMACOS study, 1999 – 2007.

Highest FEV1 Highest FVC Highest FEF25–75

N β (95%
CI)
p N β (95%
CI)
p N β (95%
CI)
p
Prenatal Exposure
  Methyl bromide 229 0.06 (0.00, 0.12) 0.05 208 0.06 (−0.01, 0.13) 0.09 208 0.15 (0.03, 0.27) 0.01
ChloroPicrin 229 0.04 (−0.01, 0.09) 0.09 208 0.05 (−0.01, 0.11) 0.14 208 0.11 (0.00, 0.21) 0.05
  Metam sodium 229 −0.03 (−0.08, 0.02) 0.19 208 −0.02 (−0.08, 0.04) 0.57 208 −0.08 (−0.18, 0.03) 0.16
  1,3-DCP 229 −0.02 (−0.07, 0.02) 0.31 208 −0.03 (−0.09, 0.03) 0.34 208 −0.08 (−0.18, 0.02) 0.11
Postnatal Exposure
  Methyl bromide 212 −0.10 (−0.28, 0.08) 0.29 193 −0.04 (−0.25, 0.18) 0.75 193 −0.14 (−0.51, 0.23) 0.45
ChloroPicrin 212 −0.01 (−0.16, 0.13) 0.84 193 0.00 (−0.17, 0.18) 0.96 193 0.05 (−0.25, 0.35) 0.74
  Metam sodium 212 0.04 (−0.04, 0.13) 0.33 193 0.05 (−0.05, 0.16) 0.31 193 0.05 (−0.12, 0.23) 0.55
  1,3-DCP 212 0.00 (−0.15, 0.14) 0.95 193 0.04 (−0.13, 0.22) 0.63 193 −0.0 1 (−0.31, 0.29) 0.97
*

Adjusted for child's sex, age, height, maternal smoking during pregnancy, season of birth (wet/pollen/dry mold), mean daily PM2.5 during first 3 months of life, breast feeding duration, signs of moderate/extensive mold at home visit (6 or 12 months), distance (≤150m) from highway (6 or 12 months), pets at home (5–7 years), household food insecurity score (7 years), runny nose without a cold reported at age 7y and postnatal exposure adjusted for prenatal exposure.

3.4 Sensitivity analyses

In sensitivity analyses using multivariable models including other pesticide exposures that have been previously related to respiratory symptoms and lung function including childhood urinary DAP metabolites (Raanan et al. 2015; Raanan et al. 2016), proximity to agricultural sulfur use during the year prior to lung function assessment (Raanan et al. 2017) and prenatal DDT/DDE blood concentrations (Mamane et al. 2015), the results were very similar to those presented in Tables 3 and 4. For example, the relationships between prenatal methyl bromide use within 8 km were very similar for FEV1 (β=0.07; 95% CI: −0.01, 0.14) and FEF25–75 (β=0.18; 95% CI: 0.03, 0.34). Prenatal fumigant use was generally not correlated with other pesticide exposures that we found to be associated with lung function in this cohort, except for weak correlations between agricultural sulfur use within 1 km during the year prior to spirometry and prenatal use of metam sodium and 1,3 – DCP with r = 0.14 and r=0.26 respectively. The results were very similar when we only included children with two acceptable reproducible maneuvers in the analyses (data not shown). The results were also similar when we excluded those currently using asthma medication, excluded the one outlier for FEV1 models or used inverse probability weighting to adjust for participation bias (data not shown). Risk ratios estimated for asthma symptoms and medication using Poisson regression were nearly identical to the ORs presented in Table 3 and Supplemental Table 2. We did not observe effect modification by asthma medication use. Maternal report of child allergies (runny nose without a cold during the previous year) modified the relationship between FEV1 and prenatal proximity to methyl bromide use (p = 0.07) and we only observed higher FEV1 among children without allergies (β=0.08 L/s; 95% CI: 0.02, 0.14 for a 10-fold increase in methyl bromide use during the prenatal period). After adjusting for multiple comparisons, none of the associations reached significance at the critical p-value 0.002 based on the Benjamini-Hochberg false discovery rate.

4. Discussion

This is the first study to examine lung function or respiratory symptoms in relation to residential proximity to agricultural fumigant use. We found no significant evidence of reductions in lung function or increased odds of respiratory symptoms or use of asthma medication in 7-year-old children with increased use of agricultural fumigants within 3 – 8 km of their prenatal or postnatal residences. We unexpectedly observed a slight improvement in lung function at 7 years of age with residential proximity to higher methyl bromide and chloropicrin use during the prenatal period and this improvement was limited to children without allergies. Although these results remained after adjustment for other pesticide exposure measures previously related to respiratory symptoms and lung function in our cohort, they do not remain significant after adjustment for multiple comparisons. There is a strong spatial pattern of methyl bromide and chloropicrin use during the pregnancy period for our study because of heavy use on strawberry fields near the coast at the northern portion of the Salinas Valley (Gemmill et al. 2013). There could be other unmeasured environmental or other factors that are confounding the relationship we observed between higher prenatal fumigant use and improved lung function. We explored the use of location (Coast, Salinas or South Valley) as a proxy variable but the results remained similar. Previously published studies of prenatal exposure to air pollutants and lung function have generally observed links to alterations in lung development and function and to other negative respiratory conditions in childhood, and plausible mechanisms include changes in maternal physiology and DNA alterations in the fetus (Veras et al. 2017). Improved lung function was associated with higher estimates of recent ambient exposure to hydrogen sulfide in a study of adults living in a geothermal area of New Zealand (Bates et al. 2015). However, hydrogen sulfide has been shown to be an endogenously produced “gasotransmitter”, with anti-inflammatory and cytoprotective functions (Calvert et al. 2010), and is being explored for its use for protection against ventilator-induced lung injury (Faller et al. 2010; Otulakowski et al 2010).

In previous studies of this cohort, we found increased odds of respiratory symptoms (OR= 2.5; 95% CI: 1.3, 4.9) and lower FEV1, (L/s) (β=−0.16, 95% CI −0.30 to −0.02) and FVC (L) (β=−0.17, 95% CI −0.34 to 0.01) per 10-fold increase of childhood average urinary concentrations of metabolites of organophosphate pesticides (Raanan et al. 2015; Raanan et al. 2016). Other studies of prenatal pesticide exposure and respiratory health in children have mostly evaluated exposure using cord blood concentrations of DDE, a breakdown product of DDT, and have observed an increased risk of respiratory symptoms and asthma with higher levels of DDE (Mamane et al. 2015). Most studies of postnatal pesticide exposure and respiratory health in children have utilized self-reported information from mothers to assess pesticide exposure and have observed higher odds of respiratory disease and asthma with reported pesticide exposure (Mamane et al. 2015). None of the previous studies of pesticide exposure and respiratory health have specifically evaluated fumigants. Another strength of the study is that CHAMACOS is a prospective cohort followed since pregnancy with extensive data on potential confounders of respiratory health and other measures of pesticide exposure.

Our study also had some limitations. We did not have information on maternal occupational exposure to fumigants or the geographic location of maternal workplaces during pregnancy, and we did not have the location of schools during childhood. These limitations likely resulted in some exposure misclassification during both the prenatal and postnatal periods. An important consideration in this study is that we estimated fumigant exposure using proximity to agricultural fumigant applications reported in the PUR data, which is not a direct measure of exposure. However, the PUR data explains a large amount of the variability (R2 = 95% for methyl bromide) of measured fumigant concentrations in outdoor air (Li et al. 2005).

In conclusion, we did not observe adverse associations between residential proximity to agricultural fumigant use during pregnancy or childhood and respiratory health in the children through 7 years of age. Although we did not observe adverse effects of fumigants on lung function or respiratory symptoms in this analysis, we have seen adverse associations in previous analyses of the CHAMACOS cohort between residential proximity to higher fumigant use and child development. We observed an association between higher methyl bromide use during the second trimester of pregnancy and lower birthweight and restricted fetal growth (Gemmill et al. 2013). We also observed decreases of ~2.5 points in Full-Scale intelligence quotient at 7 years of age for each 10-fold increase in methyl bromide or chloropicrin use within 8 km of the child’s residences from birth to 7 years of age (Gunier et al. 2017). Future studies are needed in larger and more diverse populations with a greater range of agricultural fumigant use to further explore the relationship with respiratory function and health.

Supplementary Material

supplement

Highlights.

  • Respiratory symptoms were not related to prenatal residential proximity to fumigant use.

  • Respiratory symptoms were not related to postnatal residential proximity to fumigant use.

  • Lung function improved slightly with prenatal residential proximity to fumigant use.

  • Lung function was not associated with postnatal residential proximity to fumigant use.

Acknowledgments

This work was supported by the grants R56ES023591 (A.B., PI), 2P01ES009605 from NIEHS and RD-82670901, RD-83171001, and RD-83451301 from the U.S. EPA (B.E., PI), and by a post-doctoral fellowship from the Environment and Health Fund (EHF), Jerusalem, Israel (R.R.). The contents of this article are solely the responsibility of the authors and do not necessarily represent the official views of the funders. We thank the CHAMACOS families who have participated in this study and the staff and community partners who have made this work possible.

Abbreviations

1,3-DCP

1,3 – dichloropropene (Telone)

CHAMACOS

Center for the Health Assessment of Mothers and Children of Salinas

CI

confidence interval

FEV1

Forced expiratory volume in one second

FVC

Forced vital capacity

FEF25–75

forced expiratory flow 25–75%

OR

odds ratio

PUR

Pesticide Use Report

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Statement of financial interest

Dr. Asa Bradman is a volunteer member of the Board for The Organic Center, a non-profit organization addressing scientific issues about organic food and agriculture and is also a member of the USDA National Organic Standards Board. None of the other authors declares any actual or potential competing financial interest.

References

  1. Asher MI, Keil U, Anderson HR, Beasley R, Crane J, Martinez F, Mitchell EA, Pearce N, Sibbald B, Stewart AW. International Study of Asthma and Allergies in Childhood (ISAAC): rationale and methods. Eur. Respir. J. 1995;8:483–491. doi: 10.1183/09031936.95.08030483. [DOI] [PubMed] [Google Scholar]
  2. Barry T, Oriel M, Verder-Carlos M, Mehler L, Edmiston S, O’Malley M. Community exposure following a drip-application of chloropicrin. Journal of Agromedicine. 2010;15:24–37. doi: 10.1080/10599240903389599. [DOI] [PubMed] [Google Scholar]
  3. Bates MN, Crane J, Balmes JR, Garrett N. Investigation of hydrogen sulfide exposure and lung function, asthma and chronic obstructive pulmonary disease in a geothermal area of New Zealand. PLoS ONE. 2015;10:e0122062. doi: 10.1371/journal.pone.0122062. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Breeman W. Methylbromide Intoxication: A Clinical Case Study. Advanced Emergency Nursing Journal. 2009;31:153–160. doi: 10.1097/TME.0b013e31819dca1b. [DOI] [PubMed] [Google Scholar]
  5. Breslin WJ, Kirk HD, Streeter CM, Quast JF, Szabo JR. 1,3-dichloropropene: two-generation inhalation reproduction study in Fischer 344 rats. Fundam Appl Toxicol. 1989;12:129–143. doi: 10.1016/0272-0590(89)90068-7. [DOI] [PubMed] [Google Scholar]
  6. Bretaudeau Deguigne M, Lagarce L, Boels D, Harry P. Metam sodium intoxication: the specific role of degradation products – methyl isothiocyanate and carbon disulphide – as a function of exposure. Clinical Toxicology. 2011;49:416–422. doi: 10.3109/15563650.2011.585472. [DOI] [PubMed] [Google Scholar]
  7. California Department of Pesticide Regulation (CDPR) Metam Sodium (Sodium N-Methyldithiocarbamate) Risk Characterization Document. Sacramento, CA: 2004. [Google Scholar]
  8. California Department of Pesticide Regulation (CDPR) The top 100 pesticides used pounds of active ingredients statewide in 2010 (all sites combined) Sacramento, CA: 2012. [Google Scholar]
  9. California Department of Pesticide Regulation (CDPR) Pesticide Use Reporting (PUR) data 1999–2008. Sacramento, CA: 2016. [Accessed on 28 December 2017]. Available: http://www.cdpr.ca.gov/docs/pur/purmain.htm. [Google Scholar]
  10. California Department of Public Health (CDPH) California Environmental Health Tracking Program: Agricultural pesticide use near public schools in California. Richmond, CA: 2014. [Google Scholar]
  11. System CImI, editor. California Irrigation Management Information System (CIMIS) Meteorological Data for Monterey County from 2006–2008. 2014. [Google Scholar]
  12. Calvert JW, Coetzee WA, Lefer DJ. Novel insights into hydrogen sulfide--mediated cytoprotection. Antioxid. Redox Signal. 2010;12:1203–1217. doi: 10.1089/ars.2009.2882. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Centers for Disease Control and Prevention (CDC) Illness associated with drift of chloropicrin soil fumigant into a residential area: Kern County, California, 2003. MMWR Morb. Mortal. Wkly. Rep. 2004;53:740–742. [PubMed] [Google Scholar]
  14. Cone JE, Wugofski L, Balmes JR, Das R, Bowler R, Alexeeff G, Shusterman D. Persistent Respiratory Health Effects After a Metam Sodium Pesticide Spill. Chest. 1994;106:500–508. doi: 10.1378/chest.106.2.500. [DOI] [PubMed] [Google Scholar]
  15. Deschamps FJ, Turpin JC. Methyl bromide intoxication during grain store fumigation. Occup Med (Lond) 1996;46:89–90. doi: 10.1093/occmed/46.1.89. [DOI] [PubMed] [Google Scholar]
  16. Dhara R. Health effects of the Bhopal gas leak: a review. Epidemiol Prev. 1992;14:22–31. [PubMed] [Google Scholar]
  17. Downs SH, Schindler C, Liu L-JS, Keidel D, Bayer-Oglesby L, Brutsche MH, Gerbase MW, Keller R, Künzli N, Leuenberger P, Probst-Hensch NM, Tschopp J-M, Zellweger J-P, Rochat T, Schwartz J, Ackermann-Liebrich U. Reduced Exposure to PM 10 and Attenuated Age-Related Decline in Lung Function. New England Journal of Medicine. 2007;357:2338–2347. doi: 10.1056/NEJMoa073625. [DOI] [PubMed] [Google Scholar]
  18. Eskenazi B, Marks AR, Bradman A, Fenster L, Johnson C, Barr DB, Jewell NP. In Utero Exposure to Dichlorodiphenyltrichloroethane (DDT) and Dichlorodiphenyldichloroethylene (DDE) and Neurodevelopment Among Young Mexican American Children. Pediatrics. 2006;118:233–241. doi: 10.1542/peds.2005-3117. [DOI] [PubMed] [Google Scholar]
  19. Faller S, Ryter SW, Choi AMK, Loop T, Schmidt R, Hoetzel A. Inhaled hydrogen sulfide protects against ventilator-induced lung injury. Anesthesiology. 2010;113:104–115. doi: 10.1097/ALN.0b013e3181de7107. [DOI] [PubMed] [Google Scholar]
  20. Gemmill A, Gunier RB, Bradman A, Eskenazi B, Harley KG. Residential proximity to methyl bromide use and birth outcomes in an agricultural population in California. Environ. Health Perspect. 2013;121:737–743. doi: 10.1289/ehp.1205682. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Goldman LR, Mengle D, Epstein DM, Fredson D, Kelly K, Jackson RJ. Acute symptoms in persons residing near a field treated with the soil fumigants methyl bromide and chloropicrin. West J Med. 1987;147:95–98. [PMC free article] [PubMed] [Google Scholar]
  22. Gunier RB, Bradman A, Castorina R, Holland NT, Avery D, Harley KG, Eskenazi B. Residential proximity to agricultural fumigant use and IQ, attention and hyperactivity in 7-year old children. Environ. Res. 2017;158:358–365. doi: 10.1016/j.envres.2017.06.036. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Gunier RB, Harnly ME, Reynolds P, Hertz A, Von Behren J. Agricultural pesticide use in California: pesticide prioritization, use densities, and population distributions for a childhood cancer study. Environ. Health Perspect. 2001;109:1071–1078. doi: 10.1289/ehp.011091071. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Harley KG, Macher JM, Lipsett M, Duramad P, Holland NT, Prager SS, Ferber J, Bradman A, Eskenazi B, Tager IB. Fungi and pollen exposure in the first months of life and risk of early childhood wheezing. Thorax. 2009;64:353–358. doi: 10.1136/thx.2007.090241. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Harrison GG, Stormer A, Herman DR, Winham DM. Development of a spanish-language version of the U.S. household food security survey module. J. Nutr. 2003;133:1192–1197. doi: 10.1093/jn/133.4.1192. [DOI] [PubMed] [Google Scholar]
  26. Hernán MA, Hernández-Díaz S, Robins JM. A structural approach to selection bias. Epidemiology. 2004;15:615–625. doi: 10.1097/01.ede.0000135174.63482.43. [DOI] [PubMed] [Google Scholar]
  27. Hochberg Y, Benjamini Y. More powerful procedures for multiple significance testing. Stat Med. 1990;9(7):811–8. doi: 10.1002/sim.4780090710. [DOI] [PubMed] [Google Scholar]
  28. Knol MJ, Le Cessie S, Algra A, Vandenbroucke JP, Groenwold RHH. Overestimation of risk ratios by odds ratios in trials and cohort studies: alternatives to logistic regression. CMAJ. 2012;184:895–899. doi: 10.1503/cmaj.101715. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Lee S, McLaughlin R, Harnly M, Gunier R, Kreutzer R. Community exposures to airborne agricultural pesticides in California: ranking of inhalation risks. Environ. Health Perspect. 2002;110:1175–1184. doi: 10.1289/ehp.021101175. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Lee SJ, Mehler L, Beckman J, Diebolt-Brown B, Prado J, Lackovic M, Waltz J, Mulay P, Schwartz A, Mitchell Y, Moraga-McHaley S, Gergely R, Calvert GM. Acute pesticide illnesses associated with off-target pesticide drift from agricultural applications: 11 States, 1998–2006. Environ. Health Perspect. 2011;119:1162–1169. doi: 10.1289/ehp.1002843. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Li L, Johnson B, Segawa R. Empirical relationship between use, area, and ambient air concentration of methyl bromide. J Environ Qual. 2005;34:420–428. [PubMed] [Google Scholar]
  32. Lomax LG, Stott WT, Johnson KA, Calhoun LL, Yano BL, Quast JF. The chronic toxicity and oncogenicity of inhaled technical-grade 1,3-dichloropropene in rats and mice. Fundam Appl Toxicol. 1989;12:418–431. doi: 10.1016/0272-0590(89)90016-x. [DOI] [PubMed] [Google Scholar]
  33. Magnavita N. A cluster of neurological signs and symptoms in soil fumigators. J Occup Health. 2009;51(2):159–63. doi: 10.1539/joh.n8007. [DOI] [PubMed] [Google Scholar]
  34. Mamane A, Raherison C, Tessier J-F, Baldi I, Bouvier G. Environmental exposure to pesticides and respiratory health. Eur Respir Rev. 2015;24:462–473. doi: 10.1183/16000617.00006114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Mamane A, Baldi I, Tessier J-F, Raherison C, Bouvier G. Occupational exposure to pesticides and respiratory health. Eur Respir Rev. 2015;24:306–319. doi: 10.1183/16000617.00006014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Mehta PS. Bhopal Tragedy’s Health Effects: A Review of Methyl Isocyanate Toxicity. JAMA. 1990;264(2781) [PubMed] [Google Scholar]
  37. O’Malley M, Barry T, Ibarra M, Verder-Carlos M, Mehler L. Illnesses Related to Shank Application of Metam-Sodium, Arvin, California, July 2002. Journal of Agromedicine. 2005;10:27–42. doi: 10.1300/J096v10n04_06. [DOI] [PubMed] [Google Scholar]
  38. Oriel M, Edmiston S, Beauvais S, Barry T, O’Malley M. Illnesses Associated with Chloropicrin use in California Agriculture, 1992 – 2003. In: Whitacre DM, editor. Reviews of Environmental Contamination and Toxicology. Springer US; Boston, MA: 2009. pp. 1–31. [DOI] [PubMed] [Google Scholar]
  39. Otulakowski G, Kavanagh BP. Hydrogen sulfide in lung injury: therapeutic hope from a toxic gas? Anesthesiology. 2010;113:4–6. doi: 10.1097/ALN.0b013e3181dec00e. [DOI] [PubMed] [Google Scholar]
  40. Raanan R, Gunier RB, Balmes JR, Beltran AJ, Harley KG, Bradman A, Eskenazi B. Elemental Sulfur Use and Associations with Pediatric Lung Function and Respiratory Symptoms in an Agricultural Community (California, USA) Environ. Health Perspect. 2017;125 doi: 10.1289/EHP528. epub ahead of print. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Raanan R, Balmes JR, Harley KG, Gunier RB, Magzamen S, Bradman A, Eskenazi B. Decreased lung function in 7-year-old children with early-life organophosphate exposure. Thorax. 2016;71:148–153. doi: 10.1136/thoraxjnl-2014-206622. [DOI] [PubMed] [Google Scholar]
  42. Raanan R, Harley KG, Balmes JR, Bradman A, Lipsett M, Eskenazi B. Early-life Exposure to Organophosphate Pesticides and Pediatric Respiratory Symptoms in the CHAMACOS Cohort. Environ. Health Perspect. 2014;123:179–185. doi: 10.1289/ehp.1408235. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Spanier AJ, Kahn RS, Kunselman AR, Schaefer EW, Hornung R, Xu Y, Calafat AM, Lanphear BP. Bisphenol A Exposure and the Development of Wheeze and Lung Function in Children Through Age 5 Years. JAMA Pediatrics. 2014;168(1131) doi: 10.1001/jamapediatrics.2014.1397. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Squier MV, Thompson J, Rajgopalan B. Case Report: neuropathology of methyl bromide intoxication. Neuropathology and Applied Neurobiology. 1992;18:579–584. doi: 10.1111/j.1365-2990.1992.tb00829.x. [DOI] [PubMed] [Google Scholar]
  45. Stott WT, Gollapudi BB, Rao KS. Mammalian toxicity of 1,3-dichloropropene. Rev Environ Contam Toxicol. 2001;168:1–42. doi: 10.1007/978-1-4613-0143-1_1. [DOI] [PubMed] [Google Scholar]
  46. Valcin M, Henneberger PK, Kullman GJ, Umbach DM, London SJ, Alavanja MCR, Sandler DP, Hoppin JA. Chronic Bronchitis Among Nonsmoking Farm Women in the Agricultural Health Study. Journal of Occupational and Environmental Medicine. 2007;49:574–583. doi: 10.1097/JOM.0b013e3180577768. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. van Wesenbeeck IJ, Cryer SA, de Cirugeda Helle O, Li C, Driver JH. Comparison of regional air dispersion simulation and ambient air monitoring data for the soil fumigant 1,3-dichloropropene. Sci. Total Environ. 2016;569–570:603–610. doi: 10.1016/j.scitotenv.2016.06.150. [DOI] [PubMed] [Google Scholar]
  48. Veras MM, de Oliveira Alves N, Fajersztajn L, Saldiva P. Before the first breath: prenatal exposures to air pollution and lung development. Cell Tissue Res. 2017;367:445–455. doi: 10.1007/s00441-016-2509-4. [DOI] [PubMed] [Google Scholar]
  49. Yates SR, Ashworth DJ, Zheng W, Zhang Q, Knuteson J, van Wessenbeeck IJ. Emissions of 1,3-Dichloropropene and Chloropicrin after Soil Fumigation under Field Conditions. J. Agric. Food Chem. 2015;63:5354–5363. doi: 10.1021/acs.jafc.5b01309. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

supplement

RESOURCES