Background: In recent years, public discourse has increasingly brought institutional and structural racism to the foreground of discussion on the well-being of BIPOC (Black, Indigenous, and People of Color) communities. Environmental toxicity in combination with the social triggers of institutional and structural racism are among the factors that shape the short- and long-term health of BIPOC Americans across multiple lifespans. Objectives: We outline a 2+ Generation Model for examining the mechanisms through which institutional and structural racism promotes the inter-generational transmission of environmental health risk and family and interpersonal relationships across the life course and across multiple genera-tions. We present the model's theoretical underpinnings and rationale, discuss model limitations and needed sources of data, and implications for research, policy, and intervention. Discussion: Parents and children are not only biologically linked in terms of transmission of environmental toxicities, but they are also linked socially and intergenerationally. The 2+ Generation Model foregrounds family and interpersonal relationships occurring within developmental con-texts that are influenced by environmental toxicity as well as institutional and structural racism. In sum, the 2+ Generation Model highlights the need for an equity-first interdisciplinary approach to environmental health and redirects the burden of risk reduction away from the individual and onto the institutions and structures that perpetuate the racial disparities in exposure. Doing so requires institutional investment in expanded, multigenerational, and multimethod datasets. https://doi.org/10.1289/EHP13110
Introduction
The onset of racial and socioeconomic unrest of 2020 have brought institutional and structural racism to the forefront of the social consciousness.1,2 Although the attention may be new, the impact of racism in all its forms on the wellbeing of BIPOC (Black, Indigenous, and People of Color) communities is not.3 We contend that it is critically important that researchers accu-rately specify the impacts of racism on human health and well-being to give the important scientific background to policymakers so they can take action to reduce those impacts. We further en-courage researchers, practitioners, and policymakers to move beyond examining individual-level racial discrimination to exam-ining racism that is intentionally or unintentionally woven into the fabric of everyday life. In this commentary, we introduce for the first time a conceptual model for examining how institutional and structural racism promote the intergenerational transmission of environmental health risks for BIPOC children and families in the United States. We synthesize two foundational theories in the human development and family sciences with developmental, family, and environmental health research into a proposed 2+ Generation Model to describe how institutional and structural racism contributes to intergenerational transmission of environ-mental health risk.
Krieger defines institutional racism as race-based ". . . dis-criminatory policies or practices carried out by state or nonstate institutions. . ."4 (p. 650), e.g., race correction algorithms in medicine.5,6 Structural racism reflects the web of, "... intercon-nected institutions, whose linkages are historically rooted and culturally reinforced. It refers to the totality of ways in which societies foster racial discrimination, through mutually reinforc-ing inequitable systems,"3 (p. 1,454), e.g., the "War on Drugs."7,8 Understanding that discriminatory practices, laws, and policies exist within individual institutions and that people interact with multiple institutions at once (health care, education, environmental) is critical to advancing research, creating effective intervention, and implementing effective policy change.
We prioritize institutional and structural racism for this model, rather than individual racism and discrimination, because of the growing body of literature across multiple disciplines pointing to endemic racism as a factor in BIPOC health and well-being.9 However, our intent is not to argue for an ultimate subset of variables that represent institutional and structural racism, nor is it to assume that racism is the only factor driving environmental health risk in BIPOC communities and families. Instead, we propose a conceptual framework and needed resources for translating institutional and structural racism from the amorphous "water we swim in"10 (p. 118) to clearly identifiable and measurable factors to determine the conditions under which it influences intergen-erational environmental exposures at the individual, family, and/ or community levels.
We propose the 2+ Generation Model as a heuristic framework for examining the intergenerational impacts of environmental toxicants and toxicant mixtures such that the model could be used to formulate research questions across different historically marginalized racial/ethnic groups. We first present the rationale and theoretical underpinnings of the model. As developmental scientists, we emphasize the developmental processes and family and interpersonal relationships that take place prior to and along-side environmental toxicant exposures. We use lead exposure in a parent-child dyad as a case example because lead is a legacy pollutant that continues to impact multiple generations of primar-ily lower income and Black children and families.11 Second, we discuss the limitations of the model and needed data sources for its use to begin to address the inequities in multigenerational environmental toxicant exposures. In our discussion we emphasize that implementation of the model is dependent on specific research questions through interdisciplinary and community-engaged collaboration. Third, we conclude by discussing implica-tions of the model for research, policy, and intervention at the individual, family, and community levels.
Discussion
Our commentary is based on the premise that parents and children are most often socially, biologically, and intergenerationally linked but that researchers in the respective developmental and environ-mental health fields often examine social and biological risk factors in isolation. We argue that missing from biological explanations of how environmental toxicants can have intergenerational effects is consideration of how variables such as intergenerational trauma, parent-child relations, home and neighborhood context, schooling, and health care exacerbate or attenuate both risk for exposure and impacts of exposure once they occur. For example, the same parent with chronic lead exposure may have cognitive and behavioral sequelae that make it more difficult to engage in high-quality parenting practices and to benefit from participation in otherwise high-quality, family-based intervention. Similarly, the child, parent, and grandparent who have been exposed to environmental toxicants are likely to be the same individuals who are at risk for exposure to individual- and community-level violence, intergenerational trauma, and household chaos12-14 and have suboptimal or maladaptive parent-child interactions.
Research about how institutions individually and synergisti-cally impact development is currently limited in that it has not yet addressed how initial events in Generation 1 can be linked to subsequent exposure to chemical, nonchemical, and psycho-social stressors in Generation 2 and later. Arah15 stated the issue succinctly: "Health is not entirely individual; it is relative to the individual's context, which in turn is fashioned out of the interactions that exist between members of any defined collec-tive whose health (read: population health) is defined by the health and context of its members" (p. 238). Life-course epide-miology16 is increasingly used to address intergenerational transmission of disease and to emphasize the sociocultural and sociohistorical contexts leading up to disease. Yet, we contend that this emphasis on sociocultural and sociohistorical contexts still pays insufficient attention to the family and interpersonal relationships that both influence and are influenced by exposure to environmental toxicants. Thus, we present the 2+ Generation Model with the intention of specifically raising the importance of these family and interpersonal connections on environmental health in later generations.
Central tenets of the developmental and family sciences include that human development occurs in a variety of settings broadly referred to as "developmental contexts." For the present purposes these contexts are considered to be embedded in multiple sys-tems.17 For example, a child's language skills develop, in part, due to interactions with a variety of peers and caregivers in settings that are embedded in physical and social spaces and shaped by norms, mores, and laws established over time.17,18 Similarly, developmental and family scientists are concerned with a wide array of "developmental outcomes." These outcomes can range from fetal development to family social mobility, depending on researcher focus. Researchers may also focus on shorter-term indicators of lifespan outcomes such as academic achievement and graduation, and other commonly used metrics of child out-come such as self-regulation and social competence.
Features of the 2+ Generation Model
We rely on two theories within the developmental and family sciences to frame the 2+ Generation Model. Glen Elder's Life Course Theory (LCT18-20) provides necessary underpinnings to probe the contextual and interpersonal mechanisms driving transmission of exposure risk across multiple generations (Table 1). According to LCT, human development occurs within sociohistorical contexts, family members impact each other's experiences (linked lives), salient life events alter individual and/or life course trajectories (turning points), and humans make choices and take actions that are constrained by their sociohistorical contexts (human agency). LCT also emphasizes how the timing at which events occur can influence what the outcomes are (timing in lives). Thus, exposure to chemical, nonchemical, and psychoso-cial stressors as well as exposures to high-quality interventions and protective factors can occur at any point in the lifespan, resulting in possibly different short- and long-term effects. As we describe later in this commentary, we propose that the tasks of specifying developmental time points, stressors, intervention, protective factors, and effects require multidisciplinary scientific teams working collaboratively and equitably with key community and policy stakeholders.
The mechanisms through which institutional and structural rac-ism work to impact environmental health risk and family and interpersonal relationships across the life course are observable through the culmination of Urie Bronfenbrenner's theorizing about how human development takes place, the Person-Process-Context-Time (PPCT) model (Table 2).21,22 PPCT is a systems framework most recognized for its description of human development occur-ring through proximal processes, the "primary engines of development." Proximal processes are "progressively more complex reciprocal interaction between an active, evolving biopsychologi-cal human organism and the persons, objects, and symbols in its immediate external environment" (p. 62021) that occur regularly over time. Further, "The form, power, content, and direction of the proximal processes affecting development vary systematically as a joint function of the characteristics of the developing person; of the environment-both immediate and more remote-in which the processes are taking place; the nature of the developmental outcomes under consideration; and the social continuities and changes occurring over time through the life course and the historical period during which the person has lived" (p. 620-62121).
Byincorporating PPCT and LCT, the 2+ generation model allows for theory-building and new empirical research around both the social and biological mechanisms underlying intergenerational transmission of environmental health risk via institutional and structural racism. The model shares characteristics with the Environmental Exposures and Early Child Development (E3CD) proof-of-concept model.23,24 E3CD illustrates how institutional and structural racism sets the stage for poor neurodeve-lopmental outcomes for Black children by increasing their exposure to environmental toxicants.23,24 Payne-Sturges et al. point to the iterative nature of institutional and structural racism, contending that exposure and lack of intervention in one generation increases community vulnerability for poor out-comes across generations through subsequent exposures.25 We seek to push thinking further by adding that not only is persistent toxicant exposure a vital issue but so are community and family relationships within the contexts of these exposures. Thus, we expand on previous work with our emphasis on rela-tional dynamics that are embedded in sociohistorical and physical contexts that are in part shaped by institutional and structural racism. We focus on how the 2+ Generation Model can be espe-cially useful when considering potential interventions designed to ameliorate negative effects of toxicant exposures within and across generations. Such practices, policies, and interventions can poten-tially reduce environmental burden and positively impact child and family well-being. Later in this commentary we describe pos-sible research and interventions using lead as a case example and integrating the prevention approaches from harm reduction engineering literature.
The 2+ Generation Model incorporates developmental scien-tist Velma McBride Murry's assessment that individual generations develop within contexts shaped by the "toxic oppressive upstream waters"(p. 2,11326) of institutional and structural racism (Figure 1). We expand on Murry's assertion that institutional and structural racism are upstream oppression and her critical evalua-tion of resilience and resistance processes in African-American families to propose that concurrent ISR occurring within generations can exacerbate negative impacts of developmental context on exposure to chemical, nonchemical, and psychosocial stress (cISRa) and exposure to chemical, nonchemical, and psychosocial stress to developmental outcomes (cISRb). Simultaneously, high-quality intervention and effective policy can mitigate negative impacts of developmental context on exposure to chemical, nonchemical, and psychosocial stress (cMa), as well as from chemical, nonchemical, and psychosocial stress to developmental outcomes such as educational attainment, physical and psycho-logical health (cMb).
Specific events, policies, and practices or regulations and laws shape developmental contexts that can be perpetuated across multiple generations (Figure 2). Historic institutionally or structurally racist policies, practices, or events can be both recent occurrences (hISR), e.g., the decision-making leading to the Flint, Michigan, water contamination crisis,27 or more distant practices, e.g., red-lining.28 The model foregrounds family and interpersonal rela-tionships occurring within broader developmental contexts and does not negate other pathways for influence. The model simi-larly recognizes the potential for ongoing influences of historic institutional and structural racism that affect developmental context and social mobility but is unrelated to the theorized develop-mental paths. Finally, recent innovations in the study of epigenetic x environment interactions suggest multiple points across generations at which there could be transgenerational environmental effects (see, for examples, Bollati and Bacarelli29 for proposed models of the interplay between the environment and human epigenome and Aroke et al., Brody et al., Kaufman et al., and Miller-Kleinhenz et al.30-33 for discussions of the transgenerational epigenetic impacts of racism).
Relational moderators within and across generations. LCT and the PPCT model guide our premise that parents' and children's
lives are most often biologically, socially, and intergenerationally linked.18,21,22 Thus, the developmental timing of interest, i.e., timing in lives, can range from in utero to old age, and person charac-teristics can include factors such as temperament or health comorbidities that potentially interact with physical and social con-texts to influence developmental processes. Importantly, these moderators can also include the continued effects of previous toxi-cant exposures as well as new toxicant exposures.
Research and interventions directed toward two or more genera-tions are increasingly common in the prevention and developmental sciences, with the simplest example of a 2+ generation intervention being family therapy. There are multiple high-quality interventions that positively impact parent and child responses to psychosocial stress34,35 and attenuate negative developmental outcomes through direct intervention with childrenorbyengaging parents and children in family-based intervention.35-37 Longitudinal studies demonstrate that high-quality interventions can have positive impacts across individual lifespans.38-40 For example, recent focus on the impact of interventions such as unconditional cash transfers on child and family well-being41,42 may be a promising means to impact the path connecting generations, thereby promoting social mobility and reducing the risk for psychosocial stressors for subsequent generations. There is also evidence that both environmental jus-tice efforts and environmental intervention can have positive impacts on risk for exposure.43,44
Yet, despite the growing evidence of positive effects of individual-and family-based intervention on children's developmental out-comes in context of psychosocial stressors,45-47 to our knowledge there is little information about whether these interventions can attenuate the impact of chemical or nonchemical stressors in the physical environment on well-being in one or more generations. If empirically validated and widely implemented for this purpose, these interventions could have potential population-level effects. Nevertheless, they would still operate by "fixing" families rather than by mitigating or eliminating environmental toxins. We suggest that person, process, and context interventions, combined with intentional antiracist policies and practices that shape the larger sys-tem,10 may be a means of reducing institutional and structural rac-ism' s impact on the quality and safety of the developmental context.
Concurrent and historic institutional and structural racism in the 2+ generation model. Institutional and structural racism are not relics of the past.3 The 2+ Generation Model pro-vides a means of conceptualizing how the impacts of historic institutional and structural racism (hISR) can be compounded by concurrent institutional and structural racism. Ongoing impacts of hISR, like redlining, and newer impacts of concurrent institutional and structural racism (cISR), can have lasting effects on the structures and neighborhoods of US cities within and across generations that also yield increased exposure to a multitude of chemical, nonchemical, and psychosocial stressors.48
Institutionally racist policies and practices combine to perpetu-ate a structurally racist system that persists, with or without racist intent.3,4 Examples include judicial weakening of the Voter Rights Act49 and partisan gerrymandering50 that impact voting access and behavior, as well as racial bias in medical training and health care51,52 impacting health outcomes and in law enforcement, crim-inal charging, and sentencing.53 Similarly, institutional policies and practices have been applied in ways that differentially route Black Americans into the judicial system,54,55 which, along with housing and job discrimination for adults with criminal convic-tions,56 can have devastating financial and emotional impacts.57,58 These financial and emotional impacts58 can negatively shape the developmental contexts of successive generations59 and can per-petuate environmental and social risk exposures to children who are forced to remain in substandard housing, move frequently, ex-perience poor housing, or experience homelessness.60,61 Similarly, practices and policies that prevent formerly incarcerated or court-involved adults in one generation from obtaining jobs or social resources potentially condemn future generations to developmental contexts that increase their environmental risk.62,63
Relatedly, policies and practices aimed at promoting healthy development, reducing environmental health risk, and promoting social mobility exist in concert with policies and practices that may be de facto institutionally or structurally racist. Yet, little is known about whether potentially positive impacts of intervention or policy change may be diminished by concurrent institutional and structural racism. Understanding the impact of institutional and structural racism on individuals and families is crucial to dis-cerning why and for whom otherwise high-quality interventions do or do not work. To date, much of the child and family development intervention literature focuses on the characteristics of the intervention itself with less consideration of the sociohistorical contexts in which the interventions occur.64-66 There is, moreover, little information about whether the context of intergenerational environmental toxicant exposure could counteract, or even render harmful, some family-based intervention. Each of these paths need further study at both the person and population levels.
Case Example: Intergenerational Transmission ofLead Risk and Lead Effects
Writing in The Annual Review ofSociology, Muller et al. said that "Who is exposed to lead and why are fundamentally social ques-tions" (p. 264). Further, those authors point out that not only is lead exposure socially determined but that lead exposure has social consequences "... that themselves depend in part on children's social environments" (p. 26548). They point to National Health and Nutrition Examination Survey (NHANES) data between 1976 and 2010 (34 y) showing that Black children have more than double the rate of elevated blood lead in comparison with White children, even while the standards for "elevated blood lead" have decreased over time. It only takes a moment's thought to realize that people who were children from 1976 to 1980 are now middle-aged adults who have raised a second-perhaps third67-generation of children.
Lead exposure is a prime example of the potential utility of the 2+ Generation Model. Consider the development of a hypothetical parent-child dyad living in a historically redlined ZIP code in a city with known lead contamination, hISR.68-70 The parent's early lifespan lead exposure in Generation 1 could have occurred through contact with a variety of environmental sources, including dust, soil, and water. The subsequent accumulation of lead in their body has numerous negative health effects, including deficits in attention, impulse control, and emotion regulation,71-75 which are associated with poor lifetime physical and psychological health, socioeconomic status (SES), and social mobility.76-78
The effects of lead can also be transmitted to Generation 2 not just through socioemotional effects on parents, but also biologi-cally. The biological mechanisms for transmission of lead and its effect from women to their children are well-known. Bone is the primary storage organ from which lead mobilizes during physio-logical stress such as pregnancy and lactation.79 Lead in the bloodstream crosses the placenta, putting the fetus at risk of suf-fering from prematurity, low birth weight (LBW), and later child-hood cognitive and behavioral deficits.74 In utero, lead can block neurotransmitter connections and inhibit synaptic structures, especially during the last trimester of pregnancy, a critical period for the fetus' brain growth.80 As lead accumulates in the body throughout development, exposure can cause permanent adverse changes in brain function, imposing intellectual disadvantages on children before they are even born.81 Furthermore, animal studies indicate potential for lead in males to be associated with lowered fertility,82 and limited studies of humans indicate potential asso-ciations between males' chronic exposure to occupational lead and risk for LBW birth.83 Research using rodent models also sug-gests the potential for synergistic maternal lead and maternal stress effects leading to poor health outcomes in offspring.84
The 2+ Generation Model's foundations in LCT and PPCT also emphasize that these biological connections influence and are influenced by the social connections between parents and children and the broader contexts in which these connections occur. Extending this example, the hypothetical child in Generation 1 who was exposed to lead as a result of an initial hISR is now an adult who is less likely to have moved into safer housing for reasons that include their lead burden.78 Their child, born in Generation 2, has an increased likelihood of exposure to environmental lead, along with exposure in utero and/or through breast milk.79,85 Moreover, the cognitive, emotional, and social condi-tions associated with the parents' lead burden likely impacts their child through less effective and warm parenting,86 potentially ex-acerbating the negative impacts of lead exposure (Figure 2).
This parent-child dynamic takes place in a broader social context that includes both intervention and concurrent institutional and structural racism (Figure 1). For example, the child in
this hypothetical dyad may be condemned to being born into a developmental context that increases their environmental risk if their parent was among the Black Americans differentially routed into the justice system and subsequently denied access to safe housing and social resources.62,63 Simultaneously, efforts to improve the developmental outcomes in Generation 2 could be rendered ineffective or harmful due to previous genera-tions' exposures to environmental toxins and ongoing institu-tional and structural racism. Breastfeeding interventions are a prime example. The benefits of breastfeeding to infant develop-ment are well-established.87-89 Yet, to our knowledge there are no investigations in the environmental health literature of the potential iatrogenic effects of breastfeeding intervention-or potential protective effects-among mother-infant dyads exposed to environmental toxicants. The lack of research into breastfeeding within the context of environmental toxicant exposure, along with factors such as racial bias in access and quality of perinatal care90,91 and disparities in access to needed educational resources92 that impact child well-being, sets the stage for subsequent exposures in Generation 3 and beyond. Thus, there is a critical need for researchers to examine intervention and policy implemen-tations in the contexts in which they occur.
Model Limitations, Constraints, and Needs
The 2+ Generation Model prioritizes institutional and structural racism and requires that users identify an observable starting point in the form of laws, policy implementation(s), or historical event(s) that have differentially adverse impacts on individuals due to race/ ethnicity, regardless of intent. This assumption is a strength, in that it can bolster attempts to identify causal chains between historic institutional or structural racism and current developmental outcomes using cross-sectional and cohort data. However, a limitation of specifying Generation 1 in this way is that salient factors that precede or co-occur with the identified historic institutional or structural racism (hISR) can remain unrecognized. This approach also requires the availability and reliability of historic developmental data, meaning that hISR that is more distant or that affect communities with historically less power and agency to define the problem93,94 may have less-comprehensive data. The model is also agnostic about which sociohistorical systems and structures are most influential in any given path. Policies, practices, or events that seem race-neutral when enacted may not be when examined in historical and contemporary contexts. Conversely, poor individual and intergenerational outcomes may be explainable by simpler causal chains.
We propose the 2+ Generation Model as a means of operation-alizing institutional and structural racism and establishing when and how it is important in multigenerational environmental health outcomes. We offer that obtaining the perspectives and experiences of those impacted by policies and events, across sociodemographic groups, is critical to identifying where changes in systems need to occur. Similarly, identifying developmentally salient indicators requires targeting the developmental outcomes whose impor-tance has already been established, such as predictors of life events like high school graduation, college intentions and matric-ulation, substance use initiation, and school suspension. Given these constraints, the model highlights the need for continued institutional support for expanded data and restructured datasets and equity-first interdisciplinarity.
Institutional support for expanded data and restructured datasets. There are several existing databases examining how racial discrimination impacts long-term emotional, psychology, educational, and economic well-being,95,96 with some structured for multigenerational analyses by linking parent and child data.97,98 We suggest that incorporating multiple sources of data at different levels of granularity and at multiple scales into large, multigenerational studies of environmental risk and institutional and structural racism is essential to knowing how ostensibly race-neutral practices and policies, when viewed in the sociohistorical context, may differentially impact BIPOC individuals and communities.
The National Institutes of Health' s new data-sharing policy99 presents an opportunity for wider collaboration and answering of complex intergenerational person-context-time questions. Linking multigeneration, multilevel, and multivariable interdisciplinarity data for the future of such research requires major institutional sponsorship.100 Although projects have been initi-ated, such as the All of Us,101 NHANES,102 National Longitudinal Survey of Youth,103 or The Future of Families and Child Wellbeing Study,104 there is yet to be comprehensive data collection that rec-ognizes the complexity of institutional and structural racism in the socioeconomic, educational, physical, mental and relational health, and geographical and environmental safety milieu. Further, in many longitudinal datasets, families and children who change resi-dence frequently, change school districts, or change communities are simply "lost to follow-up."105
Equity-first interdisciplinarity. There is a particular need for expanding methodological and theoretical frameworks away from approaches that prioritize individual responsibility and "grit," decontexualize human experiences, pathologize communities of color, and devalue diverse ways of knowing.106 We suggest this means incorporating community-engaged, qualitative, and historical methodologies into the environmental health sciences in ways that inform decision-making about what constitutes data, how the data are analyzed, and how the analyses are interpreted.25
Even with institutional support, the 2+ Generation Model, as with all models, is only as valuable as the assumptions and data that are used to inform it.25 The proposed approach for thinking about intergenerational transmission of environmental health risk is informed by what Robert Bullard, the founder of the environmental justice movement called, ".. .an ethical analysis of strat-egies to eliminate unfair, unjust, and inequitable conditions and decisions .. .".107 The assumption of an identifiable hISR can bolster attempts to identify causal chains between historic institutional racism and current developmental outcomes using cross-sectional and cohort data. However, inherent to this "ethical analysis" is equitably including the voices of community members and long-standing leaders in the environmental justice movement so as not to perpetuate or create new inequalities in setting research and policy agendas.108 Recent research in Native American communities on health disparities and community-based approaches to amelio-rating them exemplifies an "equity first" approach.109
Using the 2+ Generation Model can challenge researchers to reexamine notions of what information constitutes "data" and to embrace a wide range of methodologies that allow for theory building and empirical examination of multigeneration path ways. Within the developmental and family sciences, there is a growth of concep-tual frameworks that center individual and family development in race, racism, community, and social position.110-112 Future research in both environmental and developmental sciences can question how institutional and structural racism work to impact lifelong well-being, both historically and contemporaneously at the community, family, and individual levels. Asking these questions has the potential to raise the importance of exploring creative new equitable potential pathways for intervention and policy change.
Developmental and family science researchers already have a long history of collecting indicators of the physical environment, such as household crowding and chaos, neighborhood quality, and perceived neighborhood safety.113-116 Recent advances in weara-ble technology and interdisciplinary scholarship also provide opportunities to investigate how relational and environmental health are situated within the greater sociocultural context. As one example, with multidisciplinary colleagues in Human Development and Family Studies, Population Health Sciences, and Civil and Environmental Engineering, Dilworth-Bart and Malecki devel-oped a protocol to assess chemical [particulate matter (PM) with aerodynamic diameter <2.5 l m (PM2.5)], nonchemical (noise), and psychosocial (SES, maternal psychological well-being, lan-guage context) stress and their relation to self-regulation among preschool-age children that included wearable technology to measure air quality, language environment, and noise.117118 Future longitudinal interdisciplinary studies could include measures such as ecological momentary assessment119 that can provide insight into the daily social (including experiences and perceptions of ISR and discrimination) and environmental lives of children and families.
Payne-Sturges et al. further argue that the technical and episte-mological challenges of studying environmental health and child development within the confines of structural racism require addi-tional theory-building and analytic tools.25 They point to the poten-tial for system dynamics (SD) modeling as a means of moving "between ecological levels of analysis and to integrate network effects, account for time dimensions, and to integrate the role of context in understanding human and community health" (p. 2). In par-ticular, the emphasis on examining "the mechanisms, processes, and pattern of systems behavior" (p. 225) make it a promising means of extending our understanding of historic ISR effects on development across multiple generations using data that are informed both by affected communities, researchers, and policymakers.
2+ Generation Model: Redirecting Risk Mitigation to Systems
There are still many important questions to be asked about the intergenerational impacts of exposures to environmental toxi-cants. Yet, extant research provides enough data to support im-mediate action to begin to dismantle aspects of institutional and structural racism. We assert that critical examinations of the con-textual and intergenerational processes that drive development are among the first steps. Intervention efforts must also consider multiple factors that contribute to well-being across generations, e.g., income, health, education, environmental and public health policy, especially in the presence of institutional and structural racism.
In their recent Cochrane systematic review of household lead reduction intervention, for example, Nussbaumer-Streit et al. con-cluded that individual- and family-based education, the first-line lead reduction intervention at present, showed little to no effec-tiveness in reducing blood lead levels.120 In addition to their inef-fectiveness, communicating these interventions as a way for families to keep their children safe from lead hazards can reflect institutional gaslighting and perpetuates the notion that physical, psychological, and economic well-being result from simple grit and that lack of well-being results from moral failing. For example, shortly before the Flint lead contamination of drinking water was discovered, a mother's 2-y-old child was discovered to have elevated blood lead. Reflecting on that time, the mother related that she felt blamed, "They told me I was not keeping my house clean enough, that I should have washed her hands more and dusted more. No one asked about the water" (p. 71121).
We argue that the inherent injustice of placing the burden of ineffective intervention on individual families and the pervasive sentiment that they are not trying hard enough limits both scien-tific understanding as well as motivation to implement meaning-ful change. The 2+ Generation Model provides a means of identifying key points for changes to the system that are essential to prevent and reduce the effects of environmental toxicant exposure across generations, especially in communities of color. The model can be used as a lever to open new lines of inquiry and identify areas needing systemic change.
A similar systems approach to injury prevention was pro-posed in the 1970s by William Haddon et al. Rather than centering on only the accident victim and their actions, Haddon proposed centering on the system in which "accidents" occur. Haddon et al. proposed a three-part matrix of injury prevention: pre-event phase, event phase, and postevent phase, a deceptively simple framework for thinking about and acting toward prevention.122,123 As Baker and Haddon comment, "... [Accidents] are commonly regarded as someone's fault, rather than as a failure that could have been prevented by some change to the system" (p. 381; emphasis in original122).
The pre-event phase concentrates on societal primary prevention by, if possible, eliminating exposure to the hazard.122 Examples pertinent to child development include childproof matches, covered electrical outlets, fences around swimming pools, and childproof medicine containers. In the event phase, Baker and Haddon sug-gested flame-retardant clothes, circuit breakers, life jackets, and water safety training. In the postevent phase, the Haddon matrix emphasizes reducing current harm and preventing further harm. Child-relevant examples include burn centers and rehabilitation, cardiopulmonary resuscitation (CPR) equipment, CPR training for the general population, and poison information and detoxification centers. We maintain that all these measures are instantiated at the societal level and currently taken for granted. Yet, they are powerful lifesavers.
Using the Haddon matrix in conjunction with the 2+ Generation Model, the "injury" to be prevented consists of the negative effects of environmental toxicants on developmental outcomes. The pre-event phase includes the societal structures-in this case, institutional and structural racism, that allow toxicants to persist intergenerationally in housing, schools, day care facilities, soil, water, and other sources with potential to be contacted by children, as well as social structures such redlining, job discrimination, poor quality schools, etc, that constrain the agency of BIPOC individuals and communities. The event phase at the individual level could be operationalized using a biological marker such as blood lead level or diagnosis of a health condition such as attention deficit/hyperactivity disorder. But the "event" also includes the system in which it occurs, including the historic institutional and structural racism that set the stage for exposure in the first generation as well as concurrent institutional and structural racism. In the case of lead, the postevent phase would include societal structures such as availability of health care, continuity of health care, the attention of health care providers to blood lead testing, and follow-ups such as enforcement of abatement of lead sources, assess-ments of child psychoeducational functioning, treatment to improve educational and social outcomes for the child, along with family-based interventions and policy. Viewing environmental health as the outcome of an entire system with a repeated cycle across generations leads to the important idea of risk abatement as a primary prevention measure. In addition, the postevent phase takes on importance for ameliorating negative effects of toxicant exposure on the current generation and thereby reducing some of the effects on the next generation. Although family measures during the exposure event, such as regular home clean-ing, improving nutrition, and washing children's hands fre-quently, may reduce the severity of some exposure, we suggest such measures can be seen to be of lesser importance in the long run of intergenerational exposure than changing the societal structures that allow environmental toxicants to persist in the environments of BIPOC children in the first place.
Further, part of the harm prevention approach of the Haddon matrix122,123 emphasizes postinjury care by professionals trained to deal with the condition. This emphasis implies care by professionals trained in child behavior and family systems such as school psychologists, health care providers, and behavior therapists, including continuity of care for those with frequent changes of resi-dence. The Haddon matrix in the context of the 2+ Generation Model, emphasizes maintaining individual and community agency while equitably providing for postinjury needs. In addition, the Haddon matrix draws attention to the next step of prevention: alter-ing the societal structures and systems to disrupt the cycle.
Conclusion
Failures of society due to structural and institutional racism have resulted in significant disparities in environmental toxicant expo-sures due to race and SES. To identify points in the system that can and should be changed, the 2+ Generation Model focuses on the sociohistorical systems and structures that set the stage for and perpetuate disparities in environmental health. We contend that doing so redirects the burden of risk mediation from the indi-vidual family to the government institutions and structures that are most appropriate for addressing them effectively.
We propose that the 2+ Generation Model can be a powerful means of conceptualizing and then operationalizing how institu-tional and structural racism impacts intergenerational well-being through environmental toxicant exposures. Rather than a universal theory of how institutional and structural racism historically and concurrently contributes to intergenerational lead exposure and other disparities in environmental health, this model is applicable as a tool for creating new knowledge and informing novel interven-tions aimed at institutional and structural racism and environmen-tal toxicants impacting multiple BIPOC communities.
The central point of this commentary is that adding this model to the range of tools used in the environmental health sciences (ex-posure analysis, epidemiology, toxicology, biostatistics, and surveillance) can function to foreground important questions of how current and historical social-environments influence both environ-mental toxicant exposures and the outcomes of such exposures on preexisting, structurally induced, racial disparities. Because the racial disparities in exposure persist, the steps to prevent future exposures include determining the historic and concurrent contexts in which the disparities began and are perpetuated. Emphasizing policies that support healthy lifespan development is an essential societal investment, one that can yield a multigenerational return.
References
1. Dickinson KL, Roberts JD, Banacos N, Neuberger L, Koebele E, Blanch-Hartigan D, et al. 2021. Structural racism and the COVID-19 experience in the United States. Health Secur 19(S1):S14-S26, PMID: 34076499, https://doi.org/ 10.1089/hs.2021.0031.
2. Nephew LD. 2021. Systemic racism and overcoming my COVID-19 vaccine hesitancy. eClinicalMedicine 32:100713, PMID: 33495751, https://doi.org/10. 1016/j.eclinm.2020.100713.
3. Bailey ZD, Krieger N, Agénor M, Graves J, Linos N,Bassett MT. 2017. Structural racism and health inequities in the USA: evidence and interventions. Lancet 389(10077):1453-1463, PMID: 28402827, https://doi.org/10.1016/S0140-6736(17) 30569-X.
4. Krieger N. 2014. Discrimination and health inequities. Int J Health Serv 44(4):643-710, PMID: 25626224, https://doi.org/10.2190/HS.44.4.b.
5. Kane M, Bervell R, Zhang AY, Tsai J. 2022. How should clinicians respond to race-based algorithms as sources of iatrogenic harm? AMA J Ethics 24(8): E720-E728, PMID: 35976927, https://doi.org/10.1001/amajethics.2022.720.
6. Vyas DA, Eisenstein LG, Jones DS. 2020. Hidden in plain sight-reconsidering the use of race correction in clinical algorithms. N Engl J Med 383(9):874-882, PMID: 32853499, https://doi.org/10.1056/NEJMms2004740.
7. Mitchell O. 2009. Is the war on drugs racially biased? J Crime Justice 32(2):49-75, https://doi.org/10.1080/0735648X.2009.9721270.
8. Taifa N. 2021. Race, Mass Incarceration, and the Disastrous War on Drugs. Brennan Center for Justice. https://www.brennancenter.org/our-work/analysis-opinion/race-mass-incarceration-and-disastrous-war-drugs [accessed 9 October2023]. 9. Roberts JD, Dickinson KL, Hendricks MD, Jennings V. 2022. "I can't breathe": examining the legacy of American racism on determinants of health and the ongoing pursuit of environmental justice. Curr Environ Health Rep 9(2):211 227, PMID: 35244891, https://doi.org/10.1007/s40572-022-00343-x.
10. Iruka IU, Gardner-Neblett N, Telfer NA, Ibekwe-Okafor N, Curenton SM, Sims J, et al. 2022. Effects of racism on child development: advancing antiracist de-velopmental science. Annu Rev Dev Psychol 4(1):109-132, https://doi.org/10. 1146/annurev-devpsych-121020-031339.
11. Muller C, Sampson RJ, Winter AS. 2018. Environmental inequality: the social causes and consequences of lead exposure. Annu Rev Sociol 44(1):263-282, https://doi.org/10.1146/annurev-soc-073117-041222.
12. Bellinger DC. 2016. Lead contamination in Flint-an abject failure to protect public health. N Engl J Med 374(12):11011103, PMID: 26863114, https://doi.org/ 10.1056/NEJMp1601013.
13. Evans GW, Kim P. 2010. Multiple risk exposure as a potentialexplanatorymecha-nism for the socioeconomic status-health gradient. Ann NY Acad Sci 1186(1)174-189, PMID: 20201873, https://doi.org/10.1111/j.1749-6632.2009.05336.x.
14. Hankerson SH, Moise N, Wilson D, Waller BY, Arnold KT, Duarte C, et al. 2022. The intergenerational impact of structural racism and cumulative trauma on depression. Am J Psychiatry 179(6):434-440, PMID: 35599541, https://doi.org/10. 1176/appi.ajp.21101000.
15. Arah OA. 2009. On the relationship between individual and population health. Med Health Care Philos 12(3):235-244, PMID: 19107577, https://doi.org/10.1007/ s11019-008-9173-8.
16. Kuh D, Ben-Shlomo Y, Lynch J, Hallqvist J, Power C. 2003. Life course epide-miology J Epidemiol Community Health 57(10):778 783, PMID: 14573579, https://doi.org/10.1136/jech.57.10.778.
17. Bronfenbrenner U. 1977. Toward an experimental ecology of human development. Am Psychol 32(7):513-531, https://doi.org/10.1037/0003-066X.32.7.513.
18. Elder GH, Rockwell RC. 1979. The life-course and human development: an ecological perspective. Int J Behav Dev 2(1): 1 -21, https://doi.org/10.1177/ 016502547900200101.
19. Elder GH. 1994. Time, human agency, and social change: perspectives on the life course. Soc Psychol Q 57(1):4-15, https://doi.org/10.2307/2786971.
20. Elder GH Jr. 1998. The life course as developmental theory. Child Dev 69(1):1 12, PMID: 9499552.
21. Bronfenbrenner U. 1995. Developmental ecology through space and time: A future perspective. In: Examining Lives in Context: Perspectives on the Ecology of Human Development. Washington DC: American Psychological Association, 619-647. https://doi.org/10.1037/10176-018.
22. Bronfenbrenner U, ed. 2005. Making Human Beings Human: Bioecological Perspectives on Human Development. Thousand Oaks, CA: Sage Publications Ltd.
23. Payne-Sturges DC, Hovmand P. 2021. Defining and Intervening on Cumulative Environmental Neurodevelopmental Risks. https://exchange.iseesystems.com/ public/devonps/environmental-exposures-and-early-child-development-e3cd-model/index.html#page1 [accessed 9 October 2023].
24. Payne-Sturges DC, Cory-Slechta DA, Puett RC, Thomas SB, Hammond R, Hovmand PS. 2021. Defining and intervening on cumulative environmental neurodevelopmental risks: introducing a complex systems approach. Environ Health Perspect 129(3):035001, PMID: 33688743, https://doi.org/10.1289/EHP7333.
25. Payne-Sturges DC, Ballard E, Dilworth-Bart J. n.d. Systems approaches for uncovering mechanisms of structural racism impacting children's environmental health and development. Early Child Res Q. In press.
26. Murry VM, Nyanamba JM, Hanebutt R, Debreaux M, Gastineau KAB, Goodwin AKB, et al. 2023. Critical examination of resilience and resistance in African American families: adaptive capacities to navigate toxic oppres-sive upstream waters. Dev Psychopathol 35(5):2113 2131, PMID: 37665095, https://doi.org/10.1017/S0954579423001037.
27. Hanna-Attisha M, LaChance J, Sadler RC, Champney Schnepp A. 2016. Elevated blood lead levels in children associated with the Flint drinking water crisis: a spatial analysis of risk and public health response. Am J Public Health 106(2):283-290, PMID: 26691115, https://doi.org/10.2105/AJPH.2015.303003.
28. Lynch EE, Malcoe LH, Laurent SE, Richardson J, Mitchell BC, Meier HCS. 2021. The legacy of structural racism: associations between historic redlining, current mortgage lending, and health. SSM Popul Health 14:100793, PMID: 33997243, https://doi.org/10.1016/j.ssmph.2021.100793.
29. Bollati V, Baccarelli A. 2010. Environmental epigenetics. Heredity (Edinb) 105(1)105-112, PMID: 20179736, https://doi.org/10.1038/hdy.2010.2.
30. Aroke EN, Joseph PV, Roy A, Overstreet DS, Tollefsbol TO, Vance DE, et al. 2019. Could epigenetics help explain racial disparities in chronic pain? J Pain Res 12:701-710, PMID: 30863142, https://doi.org/10.2147/JPR.S191848.
31. Brody GH, Miller GE, Yu T, Beach SRH, Chen E. 2016. Supportive family environments ameliorate the link between racial discrimination and epigenetic aging: a replication across two longitudinal cohorts. Psychol Sci 27(4)530-541, PMID: 26917213, https://doi.org/10.1177/0956797615626703.
32. Kaufman J, Khan M, Shepard Payne J, Mancini J, Summers White Y. 2023. Transgenerational inheritance and systemic racism in America. Psychiatr Res Clin Pract 5(2):60-73, PMID: 37293142, https://doi.org/10.1176/appi.prcp. 20220043.
33. Miller-Kleinhenz JM, Moubadder L, Beyer KM, Zhou Y, Gaglioti AH, Collin LJ, et al. 2023. Redlining-associated methylation in breast tumors: the impact of contemporary structural racism on the tumor epigenome. Front Oncol 13:1154554, PMID: 37621676, https://doi.org/10.3389/fonc.2023.1154554.
34. Coatsworth JD, Duncan LG, Nix RL, Greenberg MT, Gayles JG, Bamberger KT, et al. 2015. Integrating mindfulness with parent training: effects of the mindfulness-enhanced strengthening families program. Dev Psychol 51(1):26- 35, PMID: 25365122, https://doi.org/10.1037/a0038212.
35. Nix RL, Francis LA, Feinberg ME, Gill S, Jones DE, Hostetler ML, et al. 2021. Improving toddlers' healthy eating habits and self-regulation: a randomized controlled trial. Pediatrics 147(1):e20193326, PMID: 33372118, https://doi.org/ 10.1542/peds.2019-3326.
36. Abikoff H, Gallagher R, Wells K, Murray D, Huang L, Lu F, et al. 2012. Remediating organizational functioning in children with ADHD: immediate and long-term effects from a randomized controlled trial. J Consult Clin Psychol 81(1):113-128, PMID: 22889336, https://doi.org/10.1037/a0029648.
37. Nix RL, Bierman KL, Heinrichs BS, Gest SD, Welsh JA, Domitrovich CE. 2016. The randomized controlled trial of Head Start REDI: sustained effects on de-velopmental trajectories of social-emotional functioning. J Consult Clin Psychol 84(4):310-322, PMID: 26752586, https://doi.org/10.1037/a0039937.
38. Reynolds AJ, Temple JA, Ou S-R, Robertson DL, Mersky JP, Topitzes JW, et al.
2007. Effects of a school-based, early childhood intervention on adult health and well-being: a 19-year follow-up of low-income families. Arch Pediatr Adolesc Med 161(8):730-739, PMID: 17679653, https://doi.org/10.1001/archpedi.161.8.730.
39. Campbell FA, Wasik BH, Pungello E, Burchinal M, Barbarin O, Kainz K, et al. 2008. Young adult outcomes of the abecedarian and CARE early childhood educational interventions. Early Child Res Q 23(4):452-466, https://doi.org/10. 1016/j.ecresq.2008.03.003.
40. Heckman J, Pinto R, Savelyev P. 2013. Understanding the mechanisms through which an influential early childhood program boosted adult outcomes. Am Econ Rev 103(6):2052-2086, PMID: 24634518, https://doi.org/10.1257/aer.103.6.2052.
41. Duncan GJ, Magnuson K, Votruba-Drzal E. 2014. Boosting family income to promote child development. Future Child 24(1):99-120, PMID: 25518705, https://doi.org/10.1353/foc.2014.0008.
42. Gennetian L, Duncan G, Fox N, Magnuson K, Halpern-Meekin S, Noble K, et al. 2022. Unconditional Cash and Family Investments in Infants: Evidence from a Large-Scale Cash Transfer Experiment in the U.S., w30379. Cambridge, MA: National Bureau of Economic Research. https://doi.org/10.3386/w30379.
43. Dobrescu A-I, Ebenberger A, Harlfinger J, Griebler U, Klerings I, Nußbaumer-Streit B, et al. 2022. Effectiveness of interventions for the remediation of lead-contaminated soil to prevent or reduce lead exposure-a systematic review. Sci Total Environ 806(pt 1):150480, PMID: 34844314, https://doi.org/10.1016/j. scitotenv.2021.150480.
44. US EPA (US Environmental Protection Agency). 2015. Environmental Justice Showcase Communities by Region. https://www.epa.gov/environmentaljustice/ environmental-justice-showcase-communities-region [accessed 16 November 2023].
45. Jeong J, Franchett EE, Oliveira CVRd, Rehmani K, Yousafzai AK. 2021. Parenting interventions to promote early child development in the first three years of life: a global systematic review and meta-analysis. PLoS Med 18(5): e1003602, PMID: 33970913, https://doi.org/10.1371/journal.pmed.1003602.
46. Darling SJ, Goods M, Ryan NP, Chisholm AK, Haebich K, Payne JM. 2021. Behavioral intervention for social challenges in children and adolescents: a systematic review and meta-analysis. JAMA Pediatr 175(12):e213982, PMID: 34661613, https://doi.org/10.1001/jamapediatrics.2021.3982.
47. Franke N, Keown LJ, Sanders MR. 2020. An RCT of an online parenting program for parents of preschool-aged children with ADHD symptoms. J Atten Disord 24(12):1716-1726, PMID: 27609783, https://doi.org/10.1177/1087054716667598.
48. Sampson RJ. 2012. Great American City: Chicago and the Enduring Neighborhood Effect. Chicago, IL: The University of Chicago Press.
49. Faulks DR, Gotell T. 2022. News & Commentary: Voting Rights Are Center Stage This Supreme Court Term. American Civil Liberties Union. https:// www.aclu.org/news/voting-rights/voting-rights-are-center-stage-this-supreme-court-term [accessed 16 December 2022].
50. Wines M. 2022. Maps in four states were ruled illegal gerrymanders. they're being used anyway. The New York Times. 8 August 2022. https://www.nytimes. com/2022/08/08/us/elections/gerrymandering-maps-elections-republicans.html.
51. Drwecki BB, Moore CF, Ward SE, Prkachin KM. 2011. Reducing racial dispar-ities in pain treatment: the role of empathy and perspective-taking. Pain 152(5):1001-1006, PMID: 21277087, https://doi.org/10.1016/j.pain.2010.12.005.
52. Sabin JA. 2022. Tackling implicit bias in health care. N Engl J Med 387(2):105- 107, PMID: 35801989, https://doi.org/10.1056/NEJMp2201180.
53. The Sentencing Project. 2018. Report to the United Nations on Racial Disparities in the U.S. Criminal Justice System. https://www.sentencingproject. org/reports/report-to-the-united-nations-on-racial-disparities-in-the-u-s-criminal-justice-system/ [accessed 16 December 2022].
54. Civil Rights Litigation Clearinghouse. 2022. Case: Floyd v. City of New York. https://clearinghouse.net/case/12021/ [accessed 16 December 2022].
55. The Leadership Conference Education Fund. 2022. NYPD's Infamous Stop-and-Frisk Policy Found Unconstitutional. https://civilrights.org/edfund/resource/nypds-infamous-stop-and-frisk-policy-found-unconstitutional/ [accessed 16 December 2022].
56. McCain DL. 2022. U.S. Department of Housing and Urban Development, to Office of Fair Housing & Equal Opportunity Fair Housing Assistance Program Agencies Fair Housing Initiatives Program Grantees. Implementation of the Office of General Counsel's Guidance on Application of Fair Housing Act Standards to the Use of Criminal Records by Providers of Housing and Real Estate-Related Transactions. https://www.hud.gov/sites/dfiles/FHEO/documents/Implementation of OGC Guidance on Application of FHA Standards to the Use of Criminal Records - June 10 2022 pdf [accessed 16 December 2022].
57. Geller A, Fagan J, Tyler T, Link BG. 2014. Aggressive policing and the mental health of young urban men. Am J Public Health 104(12):2321-2327, PMID: 25322310, https://doi.org/10.2105/AJPH.2014.302046.
58. Center for Constitutional Rights. 2012. Stop and Frisk: The Human Impact. https://ccrjustice.org/sites/default/files/attach/2015/08/the-human-impact-report. pdf [accessed 16 December 2022].
59. Lambert JE, Holzer J, Hasbun A. 2014. Association between parents' PTSD se-verity and children's psychological distress: a meta-analysis. J Trauma Stress 27(1):9-17, PMID: 24464491, https://doi.org/10.1002/jts.21891.
60. Maguire-Jack K, Font S, Dillard R, Dvalishvili D, Barnhart S. 2021. Neighborhood poverty and adverse childhood experiences over the first 15 years of life. Int Journal on Child Malt 4(1):93-114, https://doi.org/10.1007/ s42448-021-00072-y.
61. Rauh VA, Landrigan PJ, Claudio L. 2008. Housing and health. Ann NY Acad Sci 1136(1):276-288, PMID: 18579887, https://doi.org/10.1196/annals.1425.032.
62. Muentner L, Holder N, Burnson C, Runion H, Weymouth L, Poehlmann-Tynan J. 2019. Jailed parents and their young children: residential instability, home-lessness, and behavior problems. J Child Fam Stud 28(2):370-386, PMID: 35530726, https://doi.org/10.1007/s10826-018-1265-3.
63. Wildeman C. 2014. Parental incarceration, child homelessness, and the invisi-ble consequences of mass imprisonment. Ann Am Acad Political Soc Sci 651(1):74-96, https://doi.org/10.1177/0002716213502921.
64. Edlind M, Mitra N, Grande D, Barg FK, Carter T, Turr L, et al. 2018. Why effec-tive interventions don't work for all patients: exploring variation in response to a chronic disease management intervention. Med Care 56(8):719-726, PMID: 29939912, https://doi.org/10.1097/MLR.0000000000000939.
65. Higginson A, Benier K, Shenderovich Y, Bedford L, Mazerolle L, Murray J. 2015. Preventive interventions to reduce youth involvement in gangs and gang crime in low- and middle-income countries: a systematic review. Campbell Syst Rev 11(1):1-176, https://doi.org/10.4073/csr.2015.18.
66. Rehfuess EA, Bartram J. 2014. Beyond direct impact: evidence synthesis towards a better understanding of effectiveness of environmental health interventions. Int J Hyg Environ Health 217(2-3):155-159, PMID: 23973507, https://doi.org/10.1016/j.ijheh.2013.07.011.
67. US Census Bureau. 2022. ACSDT1Y2018.B10002-Census Bureau Tables. https://data.census.gov/table?q=ACSDT1Y2018.B10002&g=0100000US,$04000 $001 [accessed 15 December 2022].
68. Bravo MA, Zephyr D, Kowal D, Ensor K, Miranda ML. 2022. Racial residential segregation shapes the relationship between early childhood lead exposure and fourth-grade standardized test scores. Proc Natl Acad Sci USA 119(34): e2117868119, PMID: 35969764, https://doi.org/10.1073/pnas.2117868119.
69. Karp RJ. 2023. Redlining and lead poisoning: causes and consequences. J Health Care Poor Underserved 34(1):431-446, PMID: 37464504, https://doi.org/ 10.1353/hpu.2023.0028.
70. Okorie CN, Thomas MD, Méndez RM, Di Giuseppe EC, Roberts NS, Márquez-Magaña L. 2022. Geospatial distributions of lead levels found in human hair and preterm birth in San Francisco neighborhoods. Int J Environ Res Public Health 19(1):86, PMID: 35010345, https://doi.org/10.3390/ijerph19010086.
71. Amato MS, Magzamen S, Imm P, Havlena JA, Anderson HA, Kanarek MS, et al. 2013. Early lead exposure (<3 years old) prospectively predicts fourth grade school suspension in Milwaukee, Wisconsin (USA). Environ Res 126:60-65, PMID: 23948117, https://doi.org/10.1016/j.envres.2013.07.008.
72. Donzelli G, Carducci A, Llopis-Gonzalez A, Verani M, Llopis-Morales A, Cioni L, et al. 2019. The association between lead and attention-deficit/hyperactivity disorder: a systematic review. Int J Environ Res Public Health 16(3):382, PMID: 30700018, https://doi.org/10.3390/ijerph16030382.
73. Goodlad JK, Marcus DK, Fulton JJ. 2013. Lead and attention-deficit/hyperactivity disorder (ADHD) symptoms: a meta-analysis. Clin Psychol Rev 33(3):417-425, PMID: 23419800, https://doi.org/10.1016/j.cpr.2013.01.009.
74. Kponee-Shovein KZ, Weisskopf MG, Grashow R, Rotem RS, Coull BA, Schnaas L, et al. 2020. Estimating the causal effect of prenatal lead exposure on prepulse inhibition deficits in children and adolescents. NeuroToxicology 78:116-126, PMID: 32126243, https://doi.org/10.1016/j.neuro.2020.02.013.
75. Lin Y, Huang L, Xu J, Specht AJ, Yan C, Geng H, et al. 2019. Blood lead, bone lead and child attention-deficit-hyperactivity-disorder-like behavior. Sci Total Environ 659:161-167, PMID: 30597466, https://doi.org/10.1016/j.scitotenv.2018.12.219.
76. Biederman J, Petty CR, Woodworth KY, Lomedico A, Hyder LL, Faraone SV. 2012. Adult outcome of attention-deficit/hyperactivity disorder: a controlled 16-year follow-up study. J Clin Psychiatry 73(7):941-950, PMID: 22901345, https://doi.org/10.4088/JCP.11m07529.
77. Galéra C, Bouvard M-P, Lagarde E, Michel G, Touchette E, Fombonne E, et al. 2012. Childhood attention problems and socioeconomic status in adulthood: 18-year follow-up. Br J Psychiatry 201(1):20-25, PMID: 22626635, https://doi.org/10. 1192/bjp.bp.111.102491.
78. Reuben A, Caspi A, Belsky DW, Broadbent J, Harrington H, Sugden K, et al. 2017. Association of childhood blood lead levels with cognitive function and socioeconomic status at age 38 years and with IQ change and socioeconomic mobility between childhood and adulthood. JAMA 317(12):1244-1251, PMID: 28350927, https://doi.org/10.1001/jama.2017.1712.
79. Silbergeld EK. 1986. Maternally mediated exposure of the fetus: in utero expo-sure to lead and other toxins. NeuroToxicology 7(2):557-568, PMID: 2431365.
80. Silbergeld EK. 1991. Lead in bone: implications for toxicology during preg-nancy and lactation. Environ Health Perspect 91:63-70, PMID: 2040252, https://doi.org/10.1289/ehp.919163.
81. Coulton C, Garcia-Cobian Richter F, Cho Y, Park J, Fischer R. 2020. Downstream consequences of childhood lead poisoning: A longitudinal study of Cleveland children from birth to early adulthood. Center on Urban Poverty and Community Development, Case Western Reserve University. https://case. edu/socialwork/povertycenter/sites/default/files/2020-07/Downstream_06182020_ rev07082020.pdf [accessed 27 January 2023].
82. Dilworth-Bart JE, Moore CF. 2006. Mercy mercy me: social injustice and the prevention of environmental pollutant exposures among ethnic minority and poor children. Child Dev 77(2):247-265, PMID: 16611170, https://doi.org/10. 1111/j.1467-8624.2006.00868.x.
83. Lin S, Hwang S-A, Marshall EG, Marion D. 1998. Does paternal occupational lead exposure increase the risks of low birth weight or prematurity? Am J Epidemiol 148(2):173-181, PMID: 9676699, https://doi.org/10.1093/oxfordjournals. aje.a009621.
84. Cory-Slechta DA, Virgolini MB, Thiruchelvam M, Weston DD, Bauter MR. 2004. Maternal stress modulates the effects of developmental lead exposure. Environ Health Perspect 112(6):717-730, PMID: 15121516, https://doi.org/10.1289/ehp.6481.
85. Ettinger AS, Roy A, Amarasiriwardena CJ, Smith D, Lupoli N, Mercado-García A, et al. 2014. Maternal blood, plasma, and breast milk lead: lactational transfer and contribution to infant exposure. Environ Health Perspect 122(1):87-92, PMID: 24184948, https://doi.org/10.1289/ehp.1307187.
86. Bellinger DC, Matthews-Bellinger JA, Kordas K. 2016. A developmental per-spective on early-life exposure to neurotoxicants. Environ Int 94:103-112, PMID: 27235688, https://doi.org/10.1016/j.envint.2016.05.014.
87. Bernardo H, Cesar V, World Health Organization. 2013. Long-Term Effects of Breastfeeding: a Systematic Review. https://iris.who.int/handle/10665/79198 [accessed 14 November 2023].
88. Segura-Pérez S, Hromi-Fiedler A, Adnew M, Nyhan K, Pérez-Escamilla R.
2021. Impact of breastfeeding interventions among United States minority women on breastfeeding outcomes: a systematic review. Int J Equity Health 20(1):72, PMID: 33676506, https://doi.org/10.1186/s12939-021-01388-4.
89. Victora CG, Bahl R, Barros AJD, França GVA, Horton S, Krasevec J, et al. 2016. Breastfeeding in the 21st century: epidemiology, mechanisms, and life-long effect. Lancet 387(10017):475-490, PMID: 26869575, https://doi.org/10. 1016/S0140-6736(15)01024-7.
90. Byrn MA, Buys EA, Mujahid M, Madsen K. 2023. Disparities in the provision of perinatal care based on patient race in the United States. Birth 50(3):627-635, PMID: 36945902, https://doi.org/10.1111/birt.12717.
91. Daalen KR, van Kaiser J, Kebede S, Cipriano G, Maimouni H, Olumese E, et al.
2022. Racial discrimination and adverse pregnancy outcomes: a systematic review and meta-analysis. BMJ Glob Health 7(8):e009227, PMID: 35918071, https://doi.org/10.1136/bmjgh-2022-009227.
92. Belfield C. 2021. The Economic Burden of Racism from the U.S. Education System. National Education Policy Center. https://eric.ed.gov/?id=ED613079 [accessed 22 November 2023].
93. Mah A. 2017. Environmental justice in the age of big data: challenging toxic blind spots of voice, speed, and expertise. Environ Sociol 3(2):122-133, https://doi.org/10.1080/23251042.2016.1220849.
94. Vera LA, Walker D, Murphy M, Mansfield B, Siad LM, Ogden J, EDGI. 2019. When data justice and environmental justice meet: formulating a response to extractive logic through environmental data justice. Inf Commun Soc 22(7):1012-1028, PMID: 31787840, https://doi.org/10.1080/1369118X.2019.1596293.
95. Health and Retirement Study Survey Research Center. 2024. The Health and Retirement Study. https://hrs.isr.umich.edu/?_gl=1 *19t834*_ga*MTAyNDQwMz M1MS4xNzEzNDY4OTQw*_ga_FF28MW3MW2*MTcxMzQ2ODkzOS4xLjEuMTcxM zQ2ODk5My4wLjAuMA[accessed 18 April 2024].
96. Add Health (National Longitudinal Study of Adolescent to Adult Health). n.d. https://addhealth.cpc.unc.edu/ [accessed 18 April 2024].
97. Institute for Social Research. PSID Home. n.d. https://psidonline.isr.umich. edu/ [accessed 18 April 2024].
98. Center for Research on Child and Family Wellbeing. 2024. Future of Families and Child Wellbeing Study. https://ffcws.princeton.edu/ [accessed 18 April 2024].
99. National Institutes of Health. 2023. Data Sharing. https://sharing.nih.gov/ [accessed 31 October 2023].
100. Brown P, Thornton K, Ross D, Smith J, Wimer L 2020. Technical Report on Lessons Learned in the Development of the Institute for Research on Poverty's Wisconsin Administrative Data Core, 51. Madison,WI: University of Wisconsin-Madison. https://www.irp.wisc.edu/wp/wp-content/uploads/2020/ 08/TechnicalReport_DataCoreLessons2020.pdf [accessed 31 October 2023].
101. National Institutes of Health. 2020. All of Us Research Program. https://allofus. nih.gov/future-health-begins-all-us [accessed 7 March 2023].
102. US Centers for Disease Control and Prevention. 2023. NHANES Questionnaires, Datasets, and Related Documentation. https://wwwn.cdc.gov/nchs/nhanes/ continuousnhanes/default.aspx?BeginYear=2021 [accessed 7 March 2023].
103. U.S. Bureau of Labor Statistics National Longitudinal Surveys. 2023. National Longitudinal Survey of Youth: 1979. https://www.nlsinfo.org/content/cohorts/ nlsy79 [accessed 7 March 2023].
104. Princeton University. 2023. Future of Families and Child Wellbeing Study: Data and Documentation. https://ffcws.princeton.edu/documentation [accessed 7 March 2023].
105. Jelicic H, Phelps E, Lerner RM. 2010. Why missing data matter in the longitudinal study of adolescent development: using the 4-H study to understand the uses of different missing data methods. J Youth Adolesc 39(7):816-835, PMID: 20446025, https://doi.org/10.1007/s10964-010-9542-5.
106. Bowleg L 2021. The master's tools will never dismantle the master's house": ten critical lessons for black and other health equity researchers of color. Health Educ Behav 48(3):237-249, PMID: 34080476, https://doi.org/10.1177/ 10901981211007402.
107. Bullard RD. 1993. Conclusion: Environmentalism with justice. In: Confronting Environmental Racism: Voices from the Grassroots, 195-206. Brooklyn, NY: South End Press.
108. Lett E, Adekunle D, McMurray P, Asabor EN, Irie W, Simon MA, et al. 2022. Health equity tourism: ravaging the justice landscape. J Med Syst 46(3):17, PMID: 35150324, https://doi.org/10.1007/s10916-022-01803-5.
109. Adams A, Miller-Korth N, Brown D. 2004. Learning to worktogether: develop-ing academic and community research partnerships. WMJ 103(2):15 19, PMID: 15139553.
110. García Coll C, Lamberty G, Jenkins R, McAdoo HP, Crnic K, Wasik BH, et al. 1996. An integrative model for the study of developmental competencies in minority children. Child Dev67(5):1891-1914, https://doi.org/10.2307/1131600.
111. Slopen N, Heard-Garris N. 2022. Structural racism and pediatric health-a call for research to confront the origins of racial disparities in health. JAMA Pediatr 176(1):13-15, PMID: 34633431, https://doi.org/10.1001/jamapediatrics.2021.3594.
112. Stern JA, Barbarin O, Cassidy J. 2022. Working toward anti-racist perspec-tives in attachment theory, research, and practice. Attach Hum Dev 24(3):392-422, PMID: 34528474, https://doi.org/10.1080/14616734.2021.1976933.
113. Evans GW. 2021. The physical context of child development. Curr Dir Psychol Sci 30(1):41 48, https://doi.org/10.1177/0963721420980719.
114. Wandersman A, Nation M. 1998. Urban neighborhoods and mental health: psychological contributions to understanding toxicity, resilience, and inter-ventions. Am Psychol 53(6):647-656, https://doi.org/10.1037/0003-066X.53.6.647.
115. Iruka IU, De Marco A, Garrett-Peters P. 2018. Profiles of academic/socioemo-tional competence: associations with parenting, home, child care, and neighbor-hood. J Appl Dev Psychol 54:1-11, https://doi.org/10.1016/j.appdev.2017.11.002.
116. Leventhal T, Selner-O'Hagan MB, Brooks-Gunn J, Bingenheimer J, Earls F. 2004. The homelife interview from the project on human development in Chicago neighborhoods: assessment of parenting and home environment for 3- to 15-year-olds. Parenting 4(2):211 241, https://doi.org/10.1080/15295192. 2004.9681271.
117. Schultz AA, Malecki KMC, Olson MM, Selman SB, Olaiya O-I, Spicer A, et al. 2020. Investigating cumulative exposures among 3- to 4-year-old children using wearable ultrafine particle sensors and language environment devices: a pilot and feasibility study. Int J Environ Res Public Health 17(14):5259, PMID: 32708240, https://doi.org/10.3390/ijerph17145259.
118. Spicer A, Schultz AA, Olson M, Olaiya O, Selman S, Schauer J, et al. 2019. The CREATE study: pilot testing cumulative personal environmental expo-sure and educational readiness assessments in pre-school children (ages 3-4). Environ Epidemiol 3(suppl 1):379-379, https://doi.org/10.1097/01.EE9. 0000610220.55456.42.
119. Bischoff M, Schmidt S, Muehlan H, Ulbricht S, Heckmann M, Berg Nvd, et al. 2023. Ecological momentary assessment of parent-child attachment via tech-nological devices: a systematic methodological review. Infant Behav Dev 73:101882, PMID: 37633249, https://doi.org/10.1016/j.infbeh.2023.101882.
120. Nussbaumer-Streit B, Mayr V, Dobrescu AI, Wagner G, Chapman A, Pfadenhauer LM, et al. 2020. Household interventions for secondary prevention of domestic lead exposure in children. Cochrane Database Syst Rev 10(10): CD006047, PMID: 33022752, https://doi.org/10.1002/14651858.CD006047.pub6.
121. Hanna-Attisha M, O'Connell L, Saxe-Custack A, Jones N, LaChance J. 2022. Turning crisis into opportunity. J Pediatr Health Care 36(1):71-73, PMID: 34922678, https://doi.org/10.1016/j.pedhc.2021.08.007.
122. Baker SP, Haddon W. 1974. Reducing injuries and their results: the scientific approach. Milbank Mem Fund Q Health Soc 52(4):377-389, https://doi.org/10. 2307/3349509.
123. Haddon W. 1972. A logical framework for categorizing highway safety phe-nomena and activity. J Trauma 12(3):193-207, PMID: 5012817, https://doi.org/ 10.1097/00005373-197203000-00002.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
© 2024. This work is published under Reproduced from Environmental Health Perspectives (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Abstract
Background: In recent years, public discourse has increasingly brought institutional and structural racism to the foreground of discussion on the well-being of BIPOC (Black, Indigenous, and People of Color) communities. Environmental toxicity in combination with the social triggers of institutional and structural racism are among the factors that shape the short- and long-term health of BIPOC Americans across multiple lifespans. Objectives: We outline a 2+ Generation Model for examining the mechanisms through which institutional and structural racism promotes the inter-generational transmission of environmental health risk and family and interpersonal relationships across the life course and across multiple genera-tions. We present the model's theoretical underpinnings and rationale, discuss model limitations and needed sources of data, and implications for research, policy, and intervention. Discussion: Parents and children are not only biologically linked in terms of transmission of environmental toxicities, but they are also linked socially and intergenerationally. The 2+ Generation Model foregrounds family and interpersonal relationships occurring within developmental con-texts that are influenced by environmental toxicity as well as institutional and structural racism. In sum, the 2+ Generation Model highlights the need for an equity-first interdisciplinary approach to environmental health and redirects the burden of risk reduction away from the individual and onto the institutions and structures that perpetuate the racial disparities in exposure. Doing so requires institutional investment in expanded, multigenerational, and multimethod datasets.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
1 Department of Human Development and Family Studies, University of Wisconsin-Madison, Madison, Wisconsin, USA
2 Department of Psychology, University of Wisconsin-Madison, Madison, Wisconsin, USA