Abstract
Purpose of review:
Pregnant women and their offspring are vulnerable to the adverse effects of environmental and psychosocial stressors, individually and in combination. Here, we review the literature on how air pollution and metals exposures may interact with structural and individual-level stressors (including poverty and stressful life events) to impact perinatal and child outcomes.
Recent findings:
The adverse associations between air pollution and metals exposures and adverse infant and child health outcomes is often exacerbated by co-exposure to psychosocial stressors. Although studies vary by geography, study population, pollutants, stressors, and outcomes considered, the effects of environmental exposures and psychosocial stressors on early health outcomes are sometimes stronger when considered in combination than individually.
Summary:
Environmental and psychosocial stressors are often examined separately, even though their co-occurrence is widespread. The evidence that combined associations are often stronger raises critical issues around environmental justice and protection of vulnerable populations.
Keywords: air pollution, metals, psychosocial stress, environmental justice, pregnancy, environment
Introduction
Cumulative stressors in our environment can have detrimental effects on our health, as evidenced by the emerging literature on the “exposome”[1]. The exposome considers the totality of an individual’s exposures across a lifetime beginning in utero and includes psychosocial factors, chemical exposures, and biological factors. Whereas traditional approaches may consider these exposures and their health impacts individually, the exposome concept highlights the need to consider how multiple factors may interact to contribute to life course health development.
In the current review, we consider the joint impacts of in utero exposures to environmental contaminants and psychosocial stressors in relation to perinatal and child health outcomes. We focus on air pollution and metals as our environmental contaminants of interest because of the strong evidence demonstrating their impacts on children’s health as well as the rapidly expanding literature on co-exposure to psychosocial stressors. Guided by a conceptual framework (Figure 1) adapted from Morello-Frosch, et al. [2], we consider structural (e.g., poverty) as well as individual level (e.g., stressful life events) stressors. We added an emerging topic of disasters (e.g., wildfires) which can be natural experiments with combined environmental and psychosocial stressors. Importantly, structural stressors may contribute to individual-level stressors, and both may enhance individual susceptibility to the toxic effects of environmental contaminants [2]. The “double jeopardy” of exposure to psychosocial stressors and environmental contaminants faced by pregnant women can be further transmitted to their fetuses, with potentially irreversible adverse impacts on health and development [2]. In epidemiological studies, the combined impacts of stress and environmental exposures have been conceptualized and assessed in a number of ways (e.g. effect modification, statistical interaction, mediation and clustering). For example, conceptually, associations between environmental exposures and adverse pregnancy outcomes may differ in women experiencing higher or lower psychosocial stress, suggesting effect modification. Alternatively, it is possible that psychosocial stress mediates the relationship between environmental exposures and adverse pregnancy outcomes, requiring alternative analytic approaches.
Figure 1.
Conceptual model for how prenatal environmental and psychosocial exposures may impact children’s health (adapted from Morello-Frosch et al. 2006)
Our review of the combined health effects of environmental and psychosocial stressors on children’s health highlights a key environmental justice issue and presents an opportunity to improve health equity. Socioeconomically disadvantaged populations, who often face heightened exposures to structural and individual-level stressors, bear a disproportionate burden of environmental exposures including air pollution and metals contamination. A better understanding of how environmental and psychosocial stressors interact to affect children’s health is needed to inform policy change to alleviate environmental injustice and health inequities [3]. In this review, we focus on air pollution and metals, but additional studies on in utero synthetic chemical exposures and non-chemical stressors have been reviewed elsewhere [4].
Methods
We performed a structured literature review starting with a PubMed search of keywords (medical subject heading and title/abstract terms) to capture (1) any of the following psychosocial stressors terms (depressive disorder, depression, stress, stressor, anxiety, life events, mental health, psychosocial, psychological, prenatal stress, social class, socioeconomic status, poverty, material deprivation, neighborhood deprivation, neighborhood deprivation, residence characteristics, crime, social position, distress, discrimination), and (2) any of the following air pollution and metal exposures terms (metalloids, air pollution, traffic-related pollution, water pollution, particulate matter, nitrogen oxides, nitrogen dioxide, carbon monoxide, ozone, diesel, arsenic, mercury, cadmium, chromium, lead, heavy metals, traffic-related air pollution, polycyclic aromatic hydrocarbons, vehicle emissions, heavy metal) and (3) any of the following pregnancy/childhood health outcomes terms (prenatal, perinatal, antenatal, pregnancy, gravidity, gravidity, pregnant, parturition, birth, gestation, foetus, fetus, fetal, infant, newborn, neonate, child). The sets 1, 2, 3 were combined with the Boolean “AND”, and the terms within each set were combined with the Boolean “OR”.
The search was limited to English-language journal articles of human studies published in the last 5 years (January 1st, 2015, to December 31, 2019). We examined the titles and abstracts of 1571 articles and identified a subset for full-text review. Only those articles that assessed either air pollution or metals in combination with non-chemical stressors during pregnancy and perinatal or child health outcomes were retained. We excluded studies on tobacco smoke and discussed any articles that were unclear as to their inclusion/exclusion (e.g., stress as an outcome rather than an exposure) to come to a consensus. In addition, we reviewed the references cited in the selected papers to identify additional articles of interest, including any highly relevant older papers. Our search resulted in 30 included studies (Table 1).
Table 1.
Summary of published work that considers joint exposure to psychosocial stressors and air pollution/metals in relation to perinatal and child outcomes.
Author (year) |
Study sample and location |
Study design | Environmental exposure |
Psychosocial exposure | Outcome | Main findings |
---|---|---|---|---|---|---|
Air Pollution and area-level stressors | ||||||
Amegah et al., 2013 [10] | 559 mother-child dyads (Ghana) | Cross-sectional | Indoor air pollution (cooking fuel) | SES (area of residence, marital status, education, occupation, and income) | BW | Low SES associated with 292g (95% CI: 440-145) reduction in BW. Indoor air pollution mediated 10–62% of the observed effects of SES on BW. |
Erickson et al., 2016 [14] | 231,929 birth records (Canada) | Ecological | PM2.5from national land-use regression model | Neighborhood postal-code level SES | BW | PM2.5 inversely associated with BW, explaining 8.5% of the between neighborhood birthweight differences. More pronounced negative effect of PM2.5 on BW in lower SES neighborhoods. |
Shmool et al., 2015 [11] | 243,853 mothers and term singleton births (New York city) | Retrospective cohort | Daily NO2 and PM2.5 based on highly spatially resolved data from the New York City Community Air Survey | Area-level deprivation (spatially stratified principal components analysis previously associated with birth outcomes) | Term LBW | Non-linear associations between NO2 and term LBW in least and most deprived areas, but no association in mid-range deprivation. In linear models, a 10ppb increase in NO2 was association with decrease in BW in the least deprived (β=−16.2 g, 95% CI: −21.9 to −10.5) and most deprived areas (β=−11.0 g, 95% CI: −22.8 to 0.9) |
Tu et al., 2016 [19] | 105,818 term singleton births (Georgia) | Cross-sectional | Daily O3, PM2.5from the U.S. EPA’s AQS database | Census-tract level income and education | LBW | PM2.5and O3 each significantly negatively associated with birth weight, however PM2.5 was a risk factor for LBW in communities with higher average family median income and educational attainment in spatial analyses. |
Coker et al., 2016 [12] | 804,726 term births (Los Angeles County) | Retrospective cohort | NO, NO2, PM2.5 averaged over census block groups estimated by land use regression models | Neighborhood contextual factors (race-ethnicity, income, age of homes) | LBW | Pollutant clusters with elevated NO, NO2, and PM2.5 had increased odds of term LBW compared to those with lower concentrations suggesting that traffic-related primary pollutants impact pollutant cluster LBW risks. Contextual clusters with the greatest log odds of LBW had more adverse neighborhood SES, demographic, and housing conditions. Overlap between spatial patterning of high-risk multiple pollutant clusters and adverse contextual neighborhood clusters, each predicts LBW while controlling for the other. |
Stieb et al., 2016 [18] | 3 million births (Canada) | Retrospective cohort | Annual NO2 and monthly PM2.5 | Neighborhood SES (income)> | LBW, SGA, PTB | Associations between IQR change (11.5 ppb) in NO2 and SGA (OR=1.05, 95% CI: 1.03, 1.08) and term BW (β=−14.2g, 95% CI: −16.9, −11.4) were observed in neighborhoods in the lowest quartile of income. |
Stieb et al., 2016 [17] | 3 million births (Canada) | Retrospective cohort | PM2.5 based on land use regression model | Neighborhood SES (income) | LBW, SGA, PTB | No significant associations were found between PM2.5 and adverse birth outcomes across different tertiles of SES, though there was increased SGA and decreased term BW in the two lower tertiles of income. |
Asta et al., 2019 [20] | 56,576 newborns (Rome) | Retrospective cohort | Daily PM10, NO2, O3 and temperature | SES (education, occupation, home ownership, family composition, crowding, immigration) | PTB | Low SES women were more susceptible to the effect of temperature on PTB. SES did not modify the effect of PM10 on PTB. |
Deguen et al., 2018 [13] | 992 Census blocks with approximately 2199 inhabitants each (Paris) | Ecological | Annual NO2 | Socioeconomic deprivation index at census block level (socioeconomic and demographic variables) | PTB | Socioeconomic deprivation level and NO2 together explain a larger part of the excess risk of PTB estimated in northeastern Paris than either exposure does alone. The contribution of air pollution was small compared to socioeconomic deprivation. |
Padula et al., 2018 [16] | 53,843 singleton births (California) | Retrospective cohort | Annual PM2.5, O3, diesel PM, traffic density (from CalEnviroScreen 2.0) | SES factors indicator of linguistic isolation, poverty, unemployment (from CalEnviroScreen 2.0) | PTB | Higher exposure to pollutants associated with two-fold increased risk of PTB. Dose-response relationship between pollution burden and PTB risk. |
Padula et al., 2014 [8] | 263,204 singleton births (4 counties, California) | Retrospective cohort | Daily PM2.5, PM10, NO, NO2, CO, traffic density | Neighborhood SES (unemployment, public assistance, poverty) | PTB | Increased odds of PTB for highest quartile of exposure to each pollutant in 2nd and 3rd trimesters. Stronger associations among mothers in low SES neighborhoods, especially for early PTB. |
Padilla et al., 2016 [15] | Census blocks (4 cities, France) | Ecological | Annual NO2 | Neighborhood deprivation index at census block level (family, immigration status, mobility, employment, income, education, housing) | Infant and neonatal mortality | There were city-specific geographic and temporal patterns of change in infant and neonatal mortality that may be explained by socioeconomic and environmental inequalities. |
Padula et al., 2015 [9] | 215 children with birth defects, 849 controls (8 counties, California) | Case-controlr | Daily PM2.5, PM10, NO, NO2, CO from U.S. EPA’s AQS database, averaged over months 1-2 of gestation | Neighborhood SES (income, poverty, education) | Neural tube defects (Spina bifida) | Increased odds of spina bifida among highest vs lowest PM10 exposure in low SES neighborhoods (OR 3.2, 95% CI 1.4, 7.4). No significant associations between air pollution and spina bifida in higher SES neighborhoods. |
Air Pollution and individual-level stressors | ||||||
Brunst et al., 2018 [22] | 167 mothers (Boston) | Prospective cohort | Ambient PM2.5 based on spatio-temporally resolved prediction model | Life Stressor Checklist-Revised | Cord blood and placental mitochondrial DNA copy number (mtDNAcn), a marker of mitochondrial response and dysfunction | PM2.5 and maternal lifetime trauma each associated with reduced mtDNAcn. PM2.5 exposure at 30-38 weeks gestation associated with lower mtDNAcn only among women with low lifetime trauma. PM2.5 exposure at 25-40 weeks gestation associated with sex-specific stress-related changes in placental MtDNAcn (increased mtDNAcn among boys born to mothers reporting high trauma; decreased placental mtDNAcn among girls of mothers reporting low trauma). |
Rosa et al., 2017 [26] | 552 mother-child dyads (Mexico City) | Prospective cohort | Daily PM2.5 based on spatiotemporal models | Survey of negative life events (CRISYS-Revised) | Wheeze (ever or “current” in past 12 mos) based on ISAAC questionnaire at age 4 | Increasing PM2.5 in 1st trimester associated with increased risk of wheeze only in mothers reporting high prenatal stress (RR=1.35, 95% CI: 1.00, 1.83). |
Cowell et al., 2015 [23] | 258 mother-child dyads (Boston) | Prospective cohort | Black carbon based on spatiotemporal land-use regression model | Survey of negative life events (CRISYS-Revised) | Wide Range Assessment of Memory and Learning at age 6at age 6 | No main effect of black carbon on memory and learning scores. Among boys with high exposure to prenatal stress, high black carbon exposure was associated with 9.5 point lower Attention Concentration Index scores. |
Lee et al.,2018 [24] | 736 mother-child dyads (Boston) | Prospective cohort/ | Daily PM2.5 based on spatio-temporal model | Survey of negative life events (CRISYS-Revised) | Maternal-reported, clinician-diagnosed asthma up to age 6 | Children exposed to PM2.5 from 19–23 weeks gestation as well as greater life events stress had increased odds of asthma (cumulative OR=1.15, 95% CI: 1.03–1.26, per IQR (1.7 μg/m3) increase in prenatal PM2.5 level). Boys born to higher stress moms who had higher PM2.5 exposure during weeks 19-21 of gestation were at greatest risk (cumulative OR=1.28, 95% CI: 1.15-1.41). |
Bose et al., 2017 [21] | 752 mother-child dyads (Boston) | Prospective cohort | NO3 (nitrate) as assessed by a hybrid chemical transport/land use regression model | Negative life events | Clinician-diagnosed asthma by age 6 | Increased NO3 associated with increased odds of asthma during two sensitive windows (7–19 and 33–40 weeks gestation). Stronger associations were found among boys born to mothers reporting high prenatal life events stress with cumulative effects of NO3 across pregnancy (OR= 2.64, 95% CI: 1.27–5.39 per IQR increase in NO3). |
Perera et al., 2018 [28] | 351 children (New York City) | Prospective cohort | Polycyclic aromatic hydrocarbons (PAH) | Material hardship (lack of adequate food, housing, utilities, clothing) | Conners Parent Rating Scale-Revised (Attention-deficit/hyperactivity disorder) | Children with high prenatal PAH exposure generally had more symptoms of Attention-deficit/hyperactivity disorder compared to those with low PAH exposure. The greatest difference among children with hardship persisting from pregnancy through childhood. |
Perera et al., 2013 [27] | 248 mother-child dyads (Krakow, Poland) | Prospective cohort | Polycyclic aromatic hydrocarbons | Psychiatric Epidemiology Research Instrument–Demoralization | Child behavior checklist | The effects of demoralization on syndromes of anxious/depressed, withdrawn/ depressed, rule-breaking, aggressive behavior, and the composite internalizing and externalizing scores were seen only in conjunction with high PAH exposure |
Vishnevetsky et al., 2015 [29] | 276 children (New York City) | Prospective cohort | Polycyclic aromatic hydrocarbons (PAHs) | Material hardship | Child IQ, perceptual reasoning, working memory | High PAHs associated with child IQ, perceptual reasoning and working memory in groups whose mothers reported high level of material hardship during pregnancy or in child’s early years, and not in those without high hardship. |
Air Pollution and disasters | ||||||
Abdo et al., 2019 [31] | 535,895 (Colorado) | Retrospective cohort | Ambient wildfire PM2.5 concentrations | Wildfire exposure during pregnancy (2007-2015) | PTB, BW and other complications/outcomes | Exposure to wildfire smoke over full gestation or second trimester was associated with PTB (OR=1.08, 95% CI: 1.02, 1.14) and first trimester exposure was associated with decreased BW |
Holstius et al., 2012 [30] | 886,034 mothers (South Coast Air Basin, California) | Retrospective cohort | Pregnancy during 2003 Southern California wildfires | Wildfire exposure during pregnancy (2013) | BW | Compared with pregnancies before or after fires, BW was 7.0g (95% CI: −11.8, −2.2) lower for third trimester exposure, 9.7g (−14.5, −4.8) lower for second trimester exposure. |
Maslow et al., 2016 [32] | 3,360 births to mothers who were World Trade Center health registry enrollees from 9/11/01-2010 | Retrospective cohort | Rescue or recovery work following 9/11 (depending on type of work, may or may not have included severe air pollution exposure) | PTSD | LBW, PTB, SGA | Performing rescue/recovery work and having 9/11-related PTSD associated with PTB and LBW in years following 9/11. |
Metals | ||||||
Munoz Rocha et al., 2018 [54] | 473 mother-child dyads (Mexico City) | Prospective cohort | Heavy metals in 3rd trimester whole blood and cord blood | Maternal depression (Edinburgh Depression Scale) in 3rd trimester | Neurodevelopment at 24 months (Bayley Scales of Infant development) | Manganese and depressive symptoms were each independently inversely associated with all neurodevelopment scores. Negative associations between manganese (maternal as well as cord blood) and 24-month language scores (particularly receptive language) were stronger among women with depressive symptoms. |
Zilversmit Pao et al.,2019 [53] | 1,569 mothers (Alabama, California, Delaware, Illinois, Massachusetts, New York, Rhode Island, and South Carolina) | Prospective cohort | Heavy metals in 1st trimester whole blood | Maternal depression (Edinburgh Depression Scale) and life stress (Cohen Perceived Stress Scale) in 1st and 2nd trimesters | SGA | Higher levels of cadmium and lead associated with risk of SGA. Metals and psychological domains were associated with risk of SGA. A total cumulative index including metals, psychosocial and demographic variables associated with the risk of SGA (OR: 1.17, 95%CI: 1.02-1.35). |
Stroustrup et al., 2016 [48] | 500 mother-child dyads (Mexico City) | Prospective cohort | Maternal lead in whole blood (2nd and 3rd trimesters) and tibia (1 month postpartum) | Maternal depression (Edinburgh Depression Scale) | Toddler Temperament Scale at 24 months | Prenatal depression and maternal bone lead each independently predicted difficult toddler temperament. Across all lead levels, mothers with high depression scores were more likely to have toddlers with difficult temperaments and less likely to have toddlers with easy temperaments. |
Tamayo y Ortiz et al., 2017 [46] | 360 mother-child dyads (Mexico City) | Prospective cohort | Maternal lead in whole blood (2nd and 3rd trimesters) | Negative life events (CRYSIS questionnaire) in 3rd trimester | Bayley Scales of Infant Development-III at 24 months | Lead and life events stress were independently inversely associated with Bayley scores. Exposure to stress appeared to modify associations between lead and neurodevelopment (mostly additive effects, some interactions) with some evidence of sex-specific associations. |
Vanska et al., 2019 [55] | 392 mother-child dyads,2014 War on Gaza (Palestine) | Prospective cohort | Heavy metals in maternal hair at delivery | Maternal PTSD (Harvard Trauma Questionnaire) | Infant Behavior Questionnaire at 6 months old | Chromium and uranium were associated with adverse early emotional development. In particular, higher chromium was associated with lower positive affectivity and expressions of pleasure (β=−0.13). Mother’s PTSD did not modify associations. |
Zhou et al., 2017 [47] | 225 mother-infant pairs (Shanghai) | Prospective cohort | Maternal lead in whole blood in 3rd trimester | Emotional stress in 3rd trimester (Symptom Checklist 90 revised) | Cognition at 24-36 months (Gesell Development Scale) | In adjusted models, lead not associated with cognitive outcomes. In stratified analyses, associations between maternal lead and language, social behavior, and adaptive behavior were observed in the high (but not low) maternal stress group. |
Abbreviations: AQS=air quality system; BP=blood pressure; BW=birthweight; CRISYS= Crisis in Family Systems; EPA=U.S. Environmental Protection Agency; IQR=interquartile range; LBW=low birthweight; NO=nitrogen oxide; NO2=nitrogen dioxide; NO3=nitrate; O3=ozone; PTB=preterm birth; PM2.5=particulate matter less than 2.5 microns; PM10=particulate matter less than 10 microns; PAHs=polycyclic aromatic hydrocarbons; PTSD=post-traumatic stress disorder; SGA=small for gestational age; SES=socioeconomic status
Results
Air Pollution
Air pollution originates from natural and anthropogenic sources and relative contributions from these sources vary geographically. Health studies have shown chronic and acute effects of air pollution on mortality, heart disease, and lung disease in children and adults [5]. Prenatal exposure to air pollution is associated with adverse birth outcomes, such as low birth weight, preterm birth, small for gestational age and birth defects [6]. Emerging evidence also suggests ambient air pollution may affect neurological development in children [7].
The systematic monitoring of air pollution across the U.S. and many countries worldwide provides rich spatiotemporal data on ambient air pollutants [including nitrogen oxide (NO), nitrogen dioxide (NO2), carbon monoxide (CO), ozone (O3), particulate matter <10 microns (PM10) and particulate matter<2.5 microns (PM2.5)] that can then be used in epidemiological research. Based on geocoded maternal residence during pregnancy, estimates of exposure to air pollution during particular windows of pregnancy (e.g., trimester) can be generated, as can pregnancy-long average exposures. Alternative, less commonly used approaches focus on traffic sources such as traffic density, proximity to roadways, and diesel PM [8, 9], as well as cooking fuel as a source of indoor air pollution [10].
Building on the large literature on exposure to air pollution during pregnancy and adverse birth and childhood outcomes, more recently, a number of studies have considered psychosocial stressors as potential modifiers of these relationships. Most commonly, such studies capitalize on geocoded maternal residence data to estimate measures of neighborhood socioeconomic status (including income, employment, education, and housing at census tract or block group levels [8, 10-20]) as a proxy for psychosocial stress. A smaller number of studies have prospectively assessed individual-level psychosocial stress as reported by women using tools such as stressful life events surveys [21-24].
In our review of this literature, we identified 24 papers that investigated the infant and child outcomes following combined maternal exposures to air pollution and psychosocial stress (Table 1). Although most of these studies were conducted in the U.S., additional work has examined these relationships in Canada [14, 17, 18], Italy [20], France [13, 15] and Ghana [10]. Low birth weight [10-12, 14, 17, 19], preterm birth [8, 13, 16-18] and small for gestational age [17, 18] were the most commonly studied outcomes and additional outcomes included infant mortality [15], neural tube defects [9], early childhood asthma [21, 24] and neurodevelopment [23]. Most studies considered interactive effects (i.e., effect modification), though some studies examined spatial patterning of cluster effects [12], used ecological approaches [15], performed mediation analyses [10], or identified critical periods using Bayesian-distributed lag interaction models [21, 24].
Area-level stressors
Overall, the most common combination of factors in the studies reviewed reported on exposure to air pollution and area-level psychosocial stressors in relation to adverse birth outcomes. Nine of the 13 studies examining air pollution and area-level SES found increased risk of adverse birth outcomes with combined effects [8, 10, 12-16, 18, 19]. For example, a study of births in British Columbia, Canada (20012006) observed a significant interaction between neighborhood PM2.5 and socioeconomic status, with more pronounced negative impacts of PM2.5 on birth weight in lower socioeconomic status neighborhoods [14]. Similar work by Steib et al. (2016) in 2.5 million Canadian births (1999-2008) noted trends towards an association between PM2.5 and preterm birth, small for gestational age and low birth weight in the two lower tertiles of income [17]. In that study, higher NO2 was also associated with modestly increased odds of small for gestational age and reductions in term birth weight in the lowest tertile of income [18]. In a recent study in Rome [20], risk of preterm birth was examined in relation to air pollution and heat (ambient temperature) with effect modification by socioeconomic status. They did not observe effect modification between air pollution and preterm birth by socioeconomic status, though increased risk of preterm birth was observed with the combination of heat and low socioeconomic status [20].
Studies in California have revealed interactions between several criteria air pollutants and neighborhood socioeconomic status with regard to risk of preterm birth [8] and spina bifida [9]. A study of births from 2000-2006 in the San Joaquin Valley of California, an area with high air pollution exposures and high income disparity, showed stronger associations (ORs ranged from 2.1-4.3) between several pollutants (CO, NO, NO2, PM10, PM2.5) and preterm birth in disadvantaged neighborhoods (based on unemployment rates, use of public assistance, and household income). Similarly, associations between PM10 and spina bifida were stronger in neighborhoods with low median household income and educational attainment (ORs ranged from 2.6-5.1). While the preponderance of studies on air pollution and neighborhood-level socioeconomic status have suggested that lower socioeconomic status populations are more vulnerable to the adverse impacts of air pollution, it is worth noting that a smaller number of studies have reported inconsistent results across various pollutants and study populations [9, 11, 17, 20] or, unexpectedly, increased air pollution-related risks of adverse outcomes in higher socioeconomic status neighborhoods [19].
Individual-level Stressors
Complementing the numerous large-scale studies of co-exposure to air pollution and neighborhood-level stressors is a smaller body of work from prospective pregnancy cohort studies examining individual-level stressors. Although there are many ways to assess individual-level stressors during pregnancy (including but not limited to maternal anxiety, depression, pregnancy specific-stress, and discrimination as well as biomarkers like cortisol), to date, this literature has focused on air pollution in relation to stressful life events scales, including the Crisis in Family Systems (CRISYS) survey which assesses life events occurring during pregnancy across 11 different domains (such as financial, legal, career, relationship, and safety) [25]. In the Boston-based Asthma Coalition on Community, Environment, and Social Stress (ACCESS) cohort, the interaction between air pollutants and stressful life events has been studied in relation to a range of child outcomes. For example, higher exposure to ambient nitrates (NO3) across pregnancy was associated with 2.6-fold increased odds of clinician-diagnosed asthma by age 6 per IQR increase in ln NO3, among boys whose mothers also reported higher negative life events during pregnancy [21]. Similar results were reported for the interaction between mid-gestational PM2.5 exposure and prenatal life events stress, with the odds of asthma particularly increased in boys [24]. Further corroboration comes from the Mexico City PROGRESS cohort, whereby associations between first trimester PM2.5 exposure and child wheeze at age 4 were only present among children of mothers also reporting high prenatal stress [26]. There has been limited, but suggestive, work on other outcomes in this context. For example, although there was no main effect of black carbon exposure in pregnancy on memory and learning scores in children at age 6, among boys with higher exposure to prenatal life events stressors, higher black carbon exposure was associated with lower attention scores [23].
Several studies by Perera et al. in New York City [27, 28] and Krakow, Poland [29] have examined co-exposure to stressors (material hardship [28, 29] and psychological distress [27]) and urinary polycyclic aromatic hydrocarbons (PAHs) in relation to child health outcomes. PAHs are by-products of incomplete combustion of organic substances and air pollution is a major source. In these studies, children with high prenatal PAH exposure and material hardship during pregnancy through childhood had higher risk of attention-deficit/hyperactivity disorder [28] and lower IQ [29]. In the Polish study, the impacts of maternal report of demoralization on syndromes of anxious/depressed, withdrawn/depressed, rule-breaking, aggressive behavior, and the composite internalizing and externalizing scores were observed only in children with high prenatal PAH exposure [27].
Disasters
In this era of rapid climate change and increasingly intense weather events, natural disasters such as wildfires, earthquakes, and hurricanes, are becoming increasingly common and present a new way to consider joint exposures to air pollution and psychosocial stressors. These dramatic events are often characterized by significant declines in environmental quality (e.g. air, water) as well as intense, acute psychosocial stress for individuals living in and near the afflicted areas, resulting in increased risk of adverse health outcomes. For example, several studies have looked at birth outcomes following exposure to wildfires in the Western United States. In a study of the 2003 Southern California wildfires, birthweight was 3.3-9.7g lower among babies who gestated during the fires compared to babies who gestated before or after the fires, depending on the trimester of exposure [30]. More recent research in Colorado observed slightly increased odds of preterm birth following exposure to wildfire smoke during gestation [31]. “Unnatural” disasters such as 9/11 can present similarly acute environmental and psychosocial stress exposures, potentially impacting health outcomes. For example, among women in the World Trade Center health registry, performing rescue/recovery work during the bombings and having 9/11-related post-traumatic stress disorder were each associated with increased likelihood of having a low birthweight or preterm baby, particularly in the five years following the disaster [32]. One major limitation of “disaster” research is a difficulty differentiating between the environmental pollutant exposure and the psychosocial stressors to tease apart their individual contributions to adverse outcomes. Such studies can also be limited by a lack of biomarkers of stress or pollutants or direct assessments of stress given the time-sensitive nature of the events.
Metals
Metals are natural components of the environment, nonetheless, industrial, agricultural and technological changes can impact their presence in the environment relative to naturally occurring levels [33]. Most often, these anthropogenic changes increase the occurrence and variation of metals in food, drinking water and air, thus exposure to metals varies by population. By contrast to air pollution which is typically assessed via ambient monitoring, measurement of metals exposure is typically done through collection of biospecimens such as blood and urine. Exposure to metals during the perinatal period has been a particular concern and the subject of extensive research documenting associations with a variety of adverse health outcomes including stillbirth, low birth weight, reduced fetal growth, and altered neurodevelopment [34-37].
The most well-studied metal is lead which has multiple sources including lead-based paint in older homes, contaminated soil, household dust, drinking water, and lead-glazed pottery [38]. By contrast to other metals, lead is a Criteria Air Pollutant and is now regulated in water, soil, and food, resulting in a sharp decline in children’s average blood lead levels over the past 50 years [39-41]. Nevertheless, chronic low-level lead exposure can have long-lasting adverse impacts, particularly on fetal and child neurodevelopment [42]. In pregnancy, lead is absorbed by the mother and readily transferred to the developing fetus [43, 44]. Prenatal exposure to lead has been associated with reduced birth weight and preterm birth, and with neurodevelopmental deficits [45].
Despite a large environmental justice literature on metals (particularly lead) contamination in disadvantaged neighborhoods, the extent to which prenatal exposures to metals and psychosocial stress interact to impact child health is less well understood. Our review identified three published studies on lead-stress interactions in the context of early childhood cognition and behavior. In the PROGRESS cohort, Tamayo y Ortiz et al. [46] observed that joint maternal exposure to lead and prenatal negative life events had adverse additive impacts on cognition at age 24 months, as assessed by the Bayley Scales of Infant Development. In a similar analysis of toddler cognition based on a Chinese cohort, the negative impacts of maternal lead on adaptive behavior, language, and social behavior at ages 2-3 were only evident in mothers who also reported high levels of emotional stress in the third trimester [47]. Finally, additional work in the PROGRESS cohort, concurrent exposure to maternal depression and lead in pregnancy predicted a more difficult temperament phenotype at age two, which translated to poorer performance on developmental assessments [48]. Importantly, concerns about confounding by socioeconomic status (which is often used as a proxy for psychosocial stress) have been raised in the literature on lead and child outcomes for decades [49, 50] and more explicit consideration as to how the two sets of exposures interact is a necessary next step in this field.
In addition to lead, other common metals, including cadmium and mercury as well as the metalloid arsenic, may adversely affect birth and child outcomes [37]. The PROGRESS study examined synergistic influences of prenatal stress and mercury, a highly potent neurotoxin, on maternal pregnancy physiology. Among women reporting high stress during pregnancy, those who also had above median mercury levels had higher waking cortisol than those with lower mercury levels [51]. These results suggest that not only may mercury directly impact the developing fetal brain (as demonstrated by extensive previous work reviewed in [52]) but it may also do so by altering maternal stress physiology. Most recently, the Fetal Growth Study examined the relationship between metals exposures, psychosocial and demographic factors in relation to fetal growth using two approaches [53]. First, they created a composite index which included lead, mercury, and cadmium exposure, maternal stress and depression, and demographics domains. Second, they constructed weighted quantile sum regression models using those three domains. The study reported consistent associations between the composite index and small for gestational age, while only the sociodemographic domain was significantly associated with small for gestational age in the weighted quantile sum regression models. Novel methods like these for modeling cumulative exposures are important for improving our understanding of how multiple stressors impact pregnancy and childhood health outcomes.
Additional work in the PROGRESS cohort examined the transition metal manganese, which unlike lead and mercury has essential body functions. In that study, manganese and maternal depression in pregnancy were each independently associated with poorer neurodevelopment at age 24 months, and associations between manganese and altered development (particularly language scores) were strongest among mothers also reporting depressive symptoms [54]. Finally, one study examined metal-stress interactions in a unique cohort of women who were pregnant during the 2014 War on Gaza in Palestine and as a result were exposed to high levels of metals from artillery as well as tremendous psychosocial stress [55]. Concentrations of chromium and uranium in maternal hair at delivery predicted negative early emotional development in 6-7 month old children, however, these associations were not modified by the mother’s own post-traumatic stress.
Discussion
Despite a strong conceptual framework and considerable interest in the joint impacts of prenatal exposures to environmental exposures and psychosocial stressors, the literature on this emerging topic remains small. The most well-developed sub-field by far focuses on the joint impacts of air pollution and socioeconomic status on birth outcomes, capitalizing on the fact that both exposures can be assessed through geocoded maternal residence data. Overall, our review indicates that the impacts of air pollution on birth outcomes may be stronger among women living in lower socioeconomic status neighborhoods, used as a proxy for psychosocial stress. Although some studies found stronger associations with combined effects, many studies also found no association or in the unexpected direction. Many of these studies were not designed (or powered) to detect such associations, and were performed post-hoc, so publication. Though studies overall were inconsistent, findings among some of the studies warrant further investigation. Smaller longitudinal pregnancy cohort studies offer further support for these findings by also considering individual-level stressors. Such studies have typically observed stronger associations between air pollution and child outcomes (most notably asthma and wheeze) in children born to mothers who experienced greater individual-level stress during pregnancy compared to mothers reporting fewer stressors, with sex differences often reported. A much smaller literature on joint exposures to metals and stress similarly suggests that the two exposures may act synergistically to adversely impact health, particularly neurodevelopmental outcomes. While lead has predominated in this small literature, limited evidence suggests that additional metals including mercury and manganese should be considered further.
The take-away message of this emergent literature – that the adverse impacts of environmental exposures are often heightened in the face of psychosocial stress – is further evidence of the “double jeopardy” faced by mothers and children in vulnerable communities. Unfortunately, there are numerous examples of heightened exposures to chemical and non-chemical stressors in disadvantaged neighborhoods. For example, a number of poor urban communities around the U.S (including most publicly Flint, MI, Newark, NJ, and Pittsburgh, PA) have gone through recent crises of lead contamination in public drinking water supplies. These communities are at increased risk of lead contamination given aging infrastructure and housing stock as well as limited municipal resources to conduct ongoing testing and improve infrastructure as needed. It is clear that these communities bear the burden of tremendous structural stressors (related to poverty as well as discrimination, safety, food insecurity and health care access) and determining the extent to which these translate into individual level stressors (including concerns about exposures to environmental hazards) is an important next step.
Air pollution provides a second clear example of this phenomenon. A 2018 study reported that compared to the general U.S. population, those living in poverty and African Americans had 35% and 54% higher burden of PM2.5, respectively [56]. Multiple factors may explain these disparities in exposure. For example, industrial sites, where chemicals are produced, used, emitted, and discarded, are more likely to be situated in low-income communities [57]. This may be due to the relatively low cost of land development leading to heightened industrial construction in low income neighborhoods or alternatively, may reflect migration of wealthier residents out of neighborhoods when factories or industrial plants are built nearby [58]. Indeed, home values often decrease when environmental hazards are discovered, resulting in further socioeconomic segregation and heightened exposures among poorer residents. One exception to this is that some large metropolitan areas (for instance New York, NY or San Francisco, CA) may face poorer air quality due to population density, but also extremely high housing prices favoring high income residents [59].
Research gaps and future directions
In addition to an overall need for more research that considers chemical and non-chemical exposures in tandem, several high priority research areas are noted. First, although numerous mechanistic studies have examined these exposures individually, better understanding the mechanisms by which in utero environmental and psychosocial exposures may jointly impact children’s development is vital. Several important biological pathways that are impacted by both air pollution and psychosocial stress have garnered attention (including oxidative stress, endocrine disruption, and inflammation, as reviewed in [34]), but there are likely more worth considering. For instance, Brunst et al. [22] observed that PM2.5 and maternal lifetime trauma each individually reduced mitochondrial DNA copy numbers in cord blood and placenta, suggesting mitochondrial dysfunction as a potential mechanism of interest [22]. A similar study examined the relationship between PM, mitochondrial DNA copy number, and telomere length, an additional biomarker of stress, in mothers in relation to fetal growth [60]. PM10 exposure during the first pregnancy trimester was associated with increased maternal mitochondrial DNA copy numbers, reduced telomere length, and reduced birth weight, but interactive effects of PM10 and telomere length on birth weight were not assessed [60].
Better knowledge of the relationships between chemical and non-chemical exposures is needed to inform modelling strategies. For example, evidence suggests that in some contexts, air pollution may be on the causal pathway between socioeconomic status and birth outcomes [10]. At the same time, environmental exposures may impact maternal mental health. For instance, a recent study reported that low level maternal lead exposure was associated with increased anxiety and depression in pregnancy, raising the possibility that maternal psychosocial status may also be a mediator of the impact of lead exposure on children’s development [61]. Similarly, another study found that air pollution exposure during pregnancy was associated with emotional stress [62]. Adding to the complexity, just as approaches to assess mixtures of chemical exposures (such as weighted quantile sum regression and Bayesian kernel machine regression) are increasingly utilized by environmental epidemiologists, so should novel methods for assessing “mixtures” of chemical and non-chemical stressors be developed [53, 63]. Additional statistical tools such as hierarchical cluster analysis, factor analysis and principal components analysis may prove to be valuable tools in this context given the large number of variables considered [63].
With the exception of air pollution studies that can use address-based data to assess exposure in large populations, to date, studies of co-exposure to environmental contaminants and psychosocial stressors have been limited by relatively small numbers of participants, often recruited from a single geographic area. With the inception of the National Institutes of Health’s Environmental influences on Child Health Outcomes (ECHO) program which creates a harmonized “cohort of cohorts” of roughly 50,000 mother-child dyads, comes opportunities to study joint exposures in ways that have not been previously possible in the U.S. [64]. This large and diverse national-level cohort, in which extensive environmental and psychosocial data are collected, is uniquely situated to address issues of co-exposure, interactions, and confounding in relation to priority child health issues including pre-, peri- and postnatal outcomes, obesity, neurodevelopment, airway health, and positive health [65].
Ultimately, improved understanding of interactions between environmental and psychosocial stressors can help to inform policy- and practice-oriented solutions to improve children’s health. One approach suggested by this line of research is heightened monitoring and enforcement of environmental health standards in disadvantaged communities. Given finite resources, efforts to improve environmental quality (e.g., reducing air pollution, stringent water quality testing) may be most impactful in disadvantaged communities who may bear a higher burden of psychosocial stress as well. Recognizing that improving environmental quality in disadvantaged communities is challenging, interventions to reduce psychosocial stress in the most vulnerable populations represent another strategy, for instance through improved mental health screening and treatment options in pregnancy and the postpartum. Ultimately, a multi-pronged approach to improving environmental quality, combating structural stressors, and reducing individual stressors is likely to make the greatest impact on perinatal and child outcomes. Given the increasing disparities, aging infrastructure, and climate-related issues now facing the U.S., disadvantaged populations are likely to face even greater (and more disproportionate) environmental challenges- and by extension, adverse child health outcomes- if trends continue.
Footnotes
Conflict of Interest
The authors declare no conflicts of interest.
Human and Animal Rights and Informed Consent
This article does not contain any studies with human or animal subjects performed by any of the authors.
Publisher's Disclaimer: This Author Accepted Manuscript is a PDF file of a an unedited peer-reviewed manuscript that has been accepted for publication but has not been copyedited or corrected. The official version of record that is published in the journal is kept up to date and so may therefore differ from this version.
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