Abstract
Advances in stress physiology and molecular dynamics can illuminate population health inequality. The “weathering” hypothesis posits that socially structured, repeated stress process activation can accumulate and increase disease vulnerability across the life course in marginalized groups. The developmental origins of health and disease (DOHaD) hypothesis focuses on youthful programming for later life disease via epigenetic modifications to limiting uterine or early environments. Weathering and DOHaD are overlapping biopsychosocial models; yet, their emphases and implications vary. Evidence for the primacy of early development over experiences in young through middle adulthood for explaining population health inequality is lacking. By considering weathering and DOHaD together, we call for biomedical researchers to be more cautious in their claims about the social world and for a broader range of social researchers—including qualitative ones—to collaborate with them.
Recent progress in theorizing and researching stress physiology’s role in chronic disease onset, epigenetics, oxidative stress, and telomere dynamics promises new understanding of the mechanistic pathways through which the social experience of race affects the health of individuals and populations. Studies find differences in epigenetic modifications among monozygotic twins that enlarge with age and lifestyle or residential differences, illustrating the continuing role of environment in translating a common genotype into different phenotypes.1 Telomere length differences between twins become more pronounced with age, and are associated with adult social class and stress, suggesting that life experiences in adulthood have molecular impacts that affect cellular aging.2,3 Ultimately, such findings offer new hope of identifying means to short circuit the processes—both social and biological—whereby membership in a racialized, gendered, and economically stratified society may lead to health inequalities.
POPULATION HEALTH INEQUALITY AND THE EPIGENETIC REVOLUTION
Within countries, population inequalities are apparent in health, growth, development, and aging across the life course. The scientific literature has documented that US populations facing social disadvantages almost always experience health disadvantages as well.4 This vulnerability is shaped by social circumstances and environmental exposures structured by a society’s response to the observable characteristics that define a group—skin-color phenotype, secondary sex characteristics, accent, national origin of last name, or neighborhood of residence, to name a few—as well as by the group’s response to the social contingencies that follow.5 Eliminating social inequality in health has been a high priority, yet elusive, national public health objective.
Epigenetic modifications in gene expression spurred by environmental exposures signal the capacity for biological adaptation to environmental contingencies that is much more rapid than natural selection allows. Epigenetic modifications have received well-deserved attention in our otherwise DNA-centric era of biology,6 and have been documented in many scientific articles, text books, and even popular books.7–12 Epigenetic findings provide correctives to 1-dimensional views of genetic determinism or even of the role gene–environment interactions play in disease processes in individuals. They point to complex mechanistic answers to “how” race becomes biology beginning in fetal life, with health effects that may endure or accumulate over the life course. They leave open the fundamental social question of “why?”
INFANT AND LATER-LIFE HEALTH
Many studies document associations between indicators of fetal development and disease onset in later life. For example, researchers have found a robust association between low birth weight and later cardiovascular disease in US Blacks and Whites.13 Two prominent biosocial interpretations of this association—the weathering hypothesis14,15 and the Developmental Origins of Health and Disease hypothesis (DOHaD)13—forward overlapping conceptual models that differ in their theoretical emphasis, with distinct research and policy implications. Neither is yet fully elaborated or dispositive. Both are concerned with the role of stressors, but emphasize different “critical periods” and biological processes through which stressors exert their most fateful biological impacts.
The weathering hypothesis is grounded in social research, and only recently has been examined in relationship to molecular dynamics, as biological and molecular concepts such as allostatic load,15,16 epigenetics,9 and the impacts of social conditions and life stressors on telomere shortening,17 enrich understanding of the nexus of cumulative stress hypotheses and population health and aging. DOHaD begins with epigenetic science, and extrapolates it to the social and population realms. By considering weathering and DOHaD together, molecular and biomedical researchers are called to be more cautious in their claims when applying their science to the social world and for a broader range of theoretically and methodologically sophisticated social researchers—including qualitative ones—to collaborate with them.
DOHAD AND WEATHERING IN BRIEF
The DOHaD hypothesis is generating enthusiasm as an explanation for the early onset of chronic disease in individuals,18 and recently, racial disparities in such diseases.13 In theory, DOHaD acknowledges environmental influences across the life course that affect the epigenetic layer, and thus the phenotype, and it proposes biological developmental windows as critical periods for such effects, focusing, in particular, on fetal development. As described by Gluckman et al.,6–8 the DOHaD hypothesis draws on the concepts of developmental plasticity and maternal constraint, proposing that “altered long-term risk of disease is initially induced through adaptive responses that the fetus or infant makes to cues from the mother about her health or physical state.”7(p62)
The environmental cues to fetal epigenetic modifications are believed to be signaled by maternal nutrition, behavior, and stress, and to target the promoter regions of specific genes, encapsulating signals from the mother, and perhaps, also from information passed to the mother from the grandmother during her own fetal development.8,9 To the extent that the maternal or (grandmaternal) uterine environments lead to epigenetic adaptations whose predictive components are “mismatched” to postfetal environments, the offspring are at increased risk of disease in later life.6 In this model, the association between infant birth weight and the probability of developing chronic disease in adulthood reflects a
coordinated fetal response to a limiting intrauterine environment, resulting in changes in tissue and organ development that are not necessarily evident at birth but that result in perturbed responses later in life.7(p62)
This formulation implies a direct causal link between fetal epigenetic modifications and later-life disease.
Weathering is a cumulative stress perspective grounded in social research that draws on stress physiology16,19 to posit that prolonged psychosocial or physical challenges to metabolic homeostasis in socially marginalized groups increase the risk of disease and early onset of chronic conditions,5,14,15,20–22 and ultimately, accelerate aging.17 This view emphasizes that population differences in the early onset of chronic disease result from the qualitatively different life experiences, exposure to stressors, and access to coping resources associated with socially constructed categories, such as race, from conception onward.14,17,20 Poor maternal health is the first socially patterned vulnerability to which Black women’s offspring are more likely to be exposed, although unfortunately, far from the last. Through socially structured material, psychosocial, and environmental influences on health affecting both the maternal environment and that of population members of all ages, the risk of low birth weight is greater in the same populations with an excess prevalence of adult chronic disease. These links predict the often-found association between low birth weight and adult chronic disease prevalence across populations without requiring any direct causal connection between them.
When applied to population health inequality, the conceptual foundations of DOHaD and the weathering (or other cumulative stress) hypotheses overlap in important ways. Both conceptualize race as a social construction with biological consequences when experienced in an unequal society. Both view molecular dynamics as potentially important mechanisms through which phenotypic racial identification becomes translated into racial disparities in health. Both agree that poor maternal health and stressors during pregnancy may start children on a path where their chances for a long or healthy life expectancy are diminished. DOHaD could be viewed as 1 of many contributors to weathering. However, the 2 are also different in important ways that place those working to eliminate health disparities at a crossroads with respect to where science and policy might most productively proceed.
QUESTIONS OF EMPHASIS
Some scientists have called for pressing ahead with the study of DOHaD full throttle, even prioritizing it ahead of other health-related research.18 Yet, at the heart of the hope for the epigenetic revolution to undo social disparities in health are 3 basic questions that also speak to the evaluation of how much emphasis on DOHaD research is merited in population health research. (1) Are the documented associations between indicators of fetal development and the onset of complex diseases in adult life causal? (2) If they are causal, how important are the intrauterine environments relative to postuterine life experiences, including ones that occur outside of “developmental windows”? (3) In light of the answers to questions 1 and 2, what are the best ways to intervene toward the goal of eliminating racial disparities in health?
As with many questions in social research, it is not possible to generate human experimental data to test the question of how much experiences during developmental periods in early life affect later-life health, relative to ongoing experiences in adulthood. Human evidence for the DOHaD hypothesis comes from (1) observational studies that estimate the association between infant characteristics and later-life health after controlling for some potential demographic, behavioral, or socioeconomic confounders; and (2) natural experiments that establish a connection between exogenous events or “shocks” that occur when some developing fetuses are in utero (e.g., the Dutch Hunger Winter or the 1918 Influenza Pandemic) and later health outcomes in the affected cohort.
UNOBSERVED HETEROGENEITY AND CAUSAL INFERENCES IN QUANTITATIVE STUDIES
To make a balanced evaluation of the extent to which associations between infant and adult health outcomes are causally connected requires deep familiarity with methods of making credible causal inferences within the context of nonexperimental data and a knowledge of possible sources of unobserved heterogeneity—consequential differences among populations that confound the association between race and health.
Intensifying the threat of unobserved heterogeneity is the fact that many of the indicators and outcomes used in DOHaD research are simultaneously indicative of biological vulnerabilities and of social context. A prime example is birth weight itself. Clearly, an anthropometric measure reflecting fetal growth and development, birth weight is also highly predictive of maternal socioeconomic position, and at the population level, of general socioeconomic well-being.23 Associations between racial population distributions of birth weight and of cardiovascular diseases such as hypertension cannot be interpreted as causal or reflecting biological origins of adult disease in fetal life without accounting for the unobserved heterogeneity in resources and life experiences between Blacks and Whites.
As a consequence, observational studies that have been interpreted as strong evidence for DOHaD may have been misevaluated. For example, a study24 using data from the Bogalusa Heart Study (BHS) was described as providing strong support for the DOHaD hypothesis because it found that “the hypertension disparity between US whites and African Americans…was no longer significant after models adjusted for the effects of birth weight.”13(p10) Interpreting this statistical eradication of the race disparity as evidence for the fetal origins of Black–White differences in blood pressure is premature. From the perspective of social population research, 2 design features weaken this interpretation. First, the highly selective BHS sample used in the study included 185 children (of the 16 000 participants in the BHS), born in the 1970s in Bogalusa, Louisiana, a semirural population. The study included no socioeconomic controls in the regression models.24 Because birth weight distributions are reflective of the social and economic well-being of populations, the lack of socioeconomic covariates would result in residual confounding. It is likely that the effects of unmeasured social variables that affect blood pressure were, in effect, measured by the birth weight variable, exaggerating any biological effects of birth weight, per se. In this case, the fact that the racial disparity in hypertension was no longer significant after controlling for birth weight would be neither surprising nor informative. Yet, scientific and policy implications for eliminating racial disparities in hypertension differ dramatically depending on whether these disparities are interpreted to result more from the effects of the intrauterine environment on fetal vascular development than from the effects of socioeconomic, environmental, or psychosocial experiences on blood pressure thereafter.
Virtually every aspect of reproduction and parenting is culturally mediated, socially patterned, and structurally informed and constrained, while simultaneously having potential biological impacts on growth, development, and health. At the population level, historians, anthropologists, and family demographers have documented that family structure, parenting behavior, and norms and expectations of mothers and children vary across societies and time. These differences reflect varying cultural traditions, material constraints, and other social or structural factors that influence the sequence and rhythm of life course demands, and are generally responsive to context.25,26 In addition to birth weight, other key variables interpreted in the DOHaD literature as biologically causal of later-life health are also understood by social researchers to be markers of unobserved heterogeneity in the life experience of different populations of mothers and infants. These include maternal and paternal age at conception, maternal nutrition and behaviors during pregnancy, and breastfeeding. For example, on average, compared with other mothers, US mothers who breastfeed are more highly educated, economically better off, disproportionately White, have sufficient job flexibility to breastfeed, have a cultural commitment to and social support for breastfeeding, and have sufficient nutrition and low stress levels to produce the necessary milk supply. Accordingly, scientists should not be surprised to find that breastfed babies have lower adult rates of obesity, diabetes, and hypertension. However, they should be cautious in the extent to which they attribute this association to the direct impact of breastfeeding, per se, because populations with low breastfeeding rates differ from those with high rates in ways that, themselves, contribute to adult cardiovascular disease risk.
CONTROLLING FOR SOCIOECONOMIC INDICATORS
It is essential to be aware of the fundamental weakness of studies of molecular dynamics in human populations that do not account for any social variables when studying population differences. It is equally important to understand that controlling for standard demographic or socioeconomic indicators does not fully address unobserved heterogeneity.4,27 The unobserved differences are so entrenched and encompassing—and the residual confounding so great—that even including detailed socioeconomic controls is only a partial solution.27,28 To address residual confounding in studies of the association between maternal characteristics and infant, child, or later-life outcomes, social scientists have exploited natural experiments.28–32 Thus, for example, in the case of breastfeeding and health, Baker and Milligan31 found that the expansion of Canadian maternity leave mandates increased the extent and duration of breastfeeding, but found little evidence that the increased breastfeeding improved health outcomes believed to be influenced by breastfeeding, per se. This finding raises doubt about whether encouraging poor women to breastfeed—however compelling for other reasons—will have the expected positive consequences for the adult health of their offspring predicted by the DOHaD hypothesis.
Economists have employed natural experiments specifically in the context of DOHaD.32 These offer the strongest evidence to date of a causal link between intrauterine environment and later-life health in humans. Still, the findings of these studies do not imply that early-life exposures are more important than cumulative exposures over the life course for explaining the impact of environmental factors on later-life health.
Social researchers bring knowledge of relevant social theory and substance to epigenetic interpretations of findings from quantitative observational studies. For example, investigators have noted that the birth weight distribution of first-generation Black children whose mothers immigrated to the United States closely approximates that of US Whites and is far healthier than US blacks.33,34 However, subsequent US-born generations (second generation and higher) of these Black immigrants have a lower birth weight distribution that converges toward that of US Blacks. Some have used this observation in support of DOHaD.13
This observation is potentially consistent with DOHaD or cumulative stress hypotheses, with different implications in the 2 formulations. There is no a priori reason to conclude that poorer maternal health among the second- or third-generation Black adults was largely the result of fetal epigenetic modifications, if one assumes that their immigrant mothers and grandmothers were not subjected to similarly maladaptive maternal constraints when they were in utero. Furthermore, findings that the health advantage of recently arrived immigrants is eroded not only in subsequent generations, but also over time in the United States for the immigrants themselves35,36 suggest that health deterioration of immigrants and their progeny depends on social realities in the United States that have measureable effects on the health of those who developed in (or whose mothers developed in) less hostile uterine environments, and also on those who arrived as adults, already older than proposed critical developmental windows.
What aspects of life in the United States might account for generational changes in birth weight distributions among immigrant populations and their progeny, or a deterioration in health associated with duration of US residence among new adult immigrants? One intriguing line of social research consistent with a cumulative stress perspective focuses on possible negative health impacts of coping with life in the marginalized realms of the social hierarchy. Viruell-Fuentes found qualitative evidence that
the long-term labor of constructing an ethnic identity under a stigmatizing racial structure and the accumulation of ‘othering’ experiences over the life course might take a toll on the health of the second and later generations.37(p1531)
As new immigrants reside in the United States longer, or as the progeny of immigrants are raised in the United States, they become aware of and attuned to US racial hierarchies and ideologies, and are vulnerable to the physiological impacts of racialized contingencies of social identity.4,37–39
GENERALIZING FROM ANIMAL EXPERIMENTS
Laboratory science is central to DOHaD research, including experiments with animal models meant to provide human analogs of the impact of variations in maternal nutrition and stress on chemical mechanisms underlying epigenetic modifications, and their association with disease processes in offspring. For example, in rodent experiments, diet and stressors can be manipulated and their possible influences on obvious phenotypes (such as coat color, body size, insulin resistance, blood sugar) can be readily measured at different age points for first and later generation progeny. Such experiments are suggestive of the plausibility of fetal programming in humans, possibly including transgenerational inheritance of epigenetic modifications.9
The appeal of studying epigenetic mechanisms in rodents is clear. One can study hundreds of genetically identical mammals, manipulate specific environmental exposures under well-controlled conditions, and given rodents’ relatively short lifespans, readily observe and measure biological responses to manipulations across lifetimes and generations.11 Animal models provide evidence that epigenetic modifications occur during fetal development and enable description of the chemical mechanisms through which they occur, such as DNA methylation.12,40–42
However, in animal models, the postuterine exposures are few, brief, contrived, and controlled. Outcomes are limited to specific measurable “adult” phenotypes or diseases rather than to more general vulnerability or wear and tear. These limitations have crucial implications when generalizing to human population health inequality. For example, animal studies have shown that “stress” in the first week of life—operationalized as rodent pups experiencing less maternal licking and grooming or a greater time separated from their mother—results in later “adult” conditions indicative of high stress.40–42 Mechanistic cellular processes that result in epigenetic modifications in the rodent pups have been described.42 However, early maternal rat deprivation seems a poor analog to the scope and depth of stressors to which some human populations are disproportionately subjected over decades-long lives. These stressors are chronic and acute; objective and subjective; comprise social, material, environmental, and structural disadvantages; and are inherent to everyday encounters, microaggressions, and relationships.39 Animal models also do not account for contextual variation or human agency, including the physiological effects of active effortful coping with stressors.4,15,20 Elaborating the nature and impact of health-harmful stressors in the lives of human populations, and determining the relative contribution to later-life health of adaptation to the uterine environment versus long-term exposure to and coping with structurally unequal social, political, or environmental ecologies is well beyond the scope of animal models.
Ethnographic investigations can provide a window into the nature of the stressors that loom large in specific populations, but which are otherwise unfamiliar to many biomedical researchers. For example, consider the case of urban Black residents of high-poverty neighborhoods. In their urban ethnographic study on welfare, children, and families, Burton and Whitfield found that most of the primary caregivers in their study led “highly challenging” lives and “could never get a break.”43 Mullings and Wali44 documented in their ethnographic study of Harlem mothers the ubiquity of unsafe housing—more than 70% reported roaches in their residences, more than 50% reported mice, and about 30% reported rats. More than 60% of the mothers lived in apartments in need of major repairs, exemplified by lack of heating and cooling, broken windows and doors, or holes in the walls through which rodents entered. These women’s housing problems “affected many of the other aspects of their lives,”44(p47) including, for half of the women, having to engage protracted and stressful efforts to resolve these conditions.
Numerous studies document structural violence in poor and Black neighborhoods.45–47 Hypervigilance and its physiological impacts become pervasive. In her ethnography of a segregated Midwestern neighborhood, Hicks-Bartlett observed: “Keeping children safe consumes parents…(during research interviews) mothers habitually peek out the window. …tirelessly scanning the environment.”45(p32) So too, Mullings and Wali noted in their Harlem ethnography: “Many of the women in our study remained constantly alert about the possibility of violence and its impact on themselves and their children.”44(p31) Balko described frequent raids on people’s homes by heavily armed paramilitary units pursuant to the War on Drugs resulting in “needless deaths and injuries…of police officers, children, bystanders, and innocent suspects.”46(p1) A Harlem focus group member averred,
the constant nighttime noise from shouts and gunshots kept him, his wife, and his children awake. He said they were reawakened so often throughout the night that they were chronically exhausted.44(p31)
Meanwhile, exposure to environmental toxins that pose significant challenge to homeostasis, like exhaust fumes and lead, is also socially patterned.
In sum, animal research and some natural experiments provide strong evidence that early exposures, including intrauterine exposures, can influence later-life health. However, estimated associations between early-life health indicators and later-life outcomes in observational studies exaggerate the causal effects of early-life exposures because of residual confounding. When accounting for population health inequality, social research investigations from many disciplines provide reasons to take seriously the proposition that socially patterned material, psychosocial and environmental contingencies in young and middle adulthood are as, or possibly, more important than intrauterine, early life, or adolescent exposures.
RESEARCH PRIORITIES
As expressed in a white paper by a DOHaD scientific visioning workshop, the authors hope to rally the public to make “DOHaD research a contemporary ‘space race’.”18(p14) These scientists anticipate a cycle in which,
DOHaD research leads to discovery, which leads to effective dissemination of findings, which leads to change (behavioral change, social change, environmental change, attitude change), which informs policy, which then provides support for another cycle of discovery.18(p13)
Through the prism of weathering, molecular dynamics are viewed as mechanisms and not as the primary drivers of research and policy. The weathering or cumulative stress perspective prioritizes continued research on the lived experience of vulnerable populations at all ages, and how aspects of experience are translated, through physiological stress process activation and molecular dynamics, into excess morbidity and mortality in ways that are socially contingent, not universally applicable. In this context, epigenetic research will be more likely to make an important contribution to health disparities research if it is tied to an understanding of how gene expression is both shaped by the social processes that precede it and interacts with the social processes that follow.
Elaborating weathering requires identification of the dynamic and socially situated objective and subjective stressors that affect population health, and are socially patterned by a history of race consciousness.22,39 By contrast, a sampling of research questions proposed by the DOHaD visioning group include,
To what degree can the placenta serve as a diary of pregnancy? Is this also true for amniotic fluid? Can additional amniotic fluid measures be considered, i.e., drug metabolites, nutritional byproducts, and the microbiome? Can placental biology be related to surrogate markers of maternal and child health, and robustness later in life?18(p10)
Also, because human experiments to affect fetal development are unethical, DOHaD researchers understandably hope to leverage natural experiments among unique populations. Examples include women of childbearing age who have undergone bariatric surgery, surrogate mothers, offspring from HIV/AIDS antiretroviral therapy programs or of cesarean versus vaginal delivery, adoptees, and twins separated at birth.18 These are highly select groups of mothers and offspring. The need for substantive knowledge to interpret the nature of the social selection, along with methodological prowess for addressing social selectivity, should not go unnoted by epigenetic researchers.
DOHaD emphasizes the prenatal environment, and in theory it also encompasses how social environments drive later developmental processes during infancy, childhood, and adolescence.6,13 Prioritizing DOHaD points to studying developmental windows and their dynamic characterization chemically and clinically. From a broader population health perspective, important empirical questions must be asked simultaneously, including the degree to which experiences during these “critical developmental windows” contribute to health disparities, and the importance of such contributions compared with the impacts of experiences at other ages.
Cumulative stress hypotheses encompass a broader understanding of possible sensitive periods, noting the heterogeneity across populations regarding when engagement with stressors may be most intense. If we concentrate our efforts to understand the impact of socially structured stressors on those thought to be biologically distilled at discrete “critical” time points, we cannot evaluate the comparative effects of social environmental assaults occuring every step of the way. For example, in the United States, Black populations of highly segregated urban areas face a distinct set of social and structural constraints that may have health implications. Young Black men in this context have seen a long secular decline in employment rates and rising incarceration rates, with all of the personal, family, and community disruption that these trends imply.47–49 Black women in these neighborhoods often bear central responsibility for the social and economic survival of their families and communities, and thus, may experience the disproportionate wear and tear on biological systems inherent in costly adaptation to related stressors.15 Many studies find that poor Black women in their 20s, 30s, and 40s are primary caregivers of children and also ailing or disabled peers and elders.43,50–52 Some estimates find that most poor households are characterized by “family comorbidity,” wherein multiple family members have concurrent physical and mental health problems.43
These and other factors suggest that in urban Black populations, the young adult through middle ages may be a particularly challenging period for women as they assume family leadership roles, and contend with competing obligations between work and family and to dependents across generations. Might these social pressures and competing demands be as or even more important determinants of ill-health than youthful epigenetic modifications? In their study comparing White mothers (mean age of 38 years) who were more or less stressed based on whether they were caring for an autistic child, Epel et al.2 found those facing the demands of caregiving for a special needs child had shorter telomeres than those who did not have those demands. If otherwise healthy and economically secure mothers could experience such impacts from caregiving experiences in their 30s, it is reasonable to wonder how large the biological impact might be of engaging all of the caregiving and other stressors faced by young through middle aged adult women in poor or marginalized populations.
TRANSLATING IN DUE DATES OR IN LIFETIMES?
DoHAD-based prevention solutions focus on averting fetal epigenetic adaptations that increase risk of later-life disease through clinical treatment or individual behavior change before, during, or shortly following pregnancy. These solutions include improving diet and, more broadly, buffering mothers from stress. Proponents, therefore, are concerned with focusing clinical and policy attention on youth during critical developmental periods, and on women who may reproduce, or are pregnant or lactating.13,18 The theoretical prediction is that if the fetus develops in an auspicious uterine environment, the adverse epigenetic modifications that would have programmed the fetus to be at risk for early onset of chronic disease will be averted.
DOHaD scientists risk promoting ineffective policy approaches from this prediction. As noted previously, they rely on DOHaD discovery to lead to broad, automatic dissemination that reframes policy agendas and motivates individual pregnant women, mothers, and youth in high-risk populations to change behavior. This is naïve. How will dissemination effectively occur between epigenetic researchers who are trained to understand women as gestating mothers with interchangeable composites of placentas, amniotic fluid, chemical reactions and molecules, and local stakeholders, who are embedded in unique social systems that merit understanding?
Promoting maternal behaviors that are inconsistent with women’s social realities is likely to produce frustration on all sides, unless those social realities are appreciated and efforts are made to address them as well as maternal behavior. For example, as sociologists, family demographers, and ethnographers have observed, breastfeeding is at the very least impractical to expect of many poor mothers without other social changes. The complex kin network systems that serve as lifelines for many poor women, function, in part, through their flexibility of having kin other than the biological mother take important caretaking or even fosterage roles for infants and young children.43–45,52,54 If infants spend large portions of time being cared for or even raised by extended family members, or if their biological mother is not only separated from them for large portions of the day, but also works under conditions where breast pumping is impossible—as most US working women do—it is hard to imagine that breastfeeding can be successful. To the extent that poor mothers are structurally impeded from adhering to maternal behavioral proscriptions that follow from DOHaD, maintaining or increasing political will toward expanded services and benefits to poor mothers will become more difficult. The efforts may prove harmful to the population itself if program failure reinforces the popular framing of the problems of the poor as self-inflicted.22,53
Political will is necessary to institutionalize policies that are envisioned to promote fetal and infant health. Policy recommendations set forth by some DOHaD researchers include supporting pregnant and new mothers by funding
access to adequate prenatal care and nutrition and help ensure that they are relatively buffered from stress while pregnant and lactating. Promotion of breastfeeding, and longer and more secure maternity leave, are additional examples of policies that could have long-term health benefits for future generations, and ease race based health differentials operating through developmental pathways.13(p10)
Such intervention approaches are also promoted because they are believed to be feasible. Kuzawa and Sweet argue, “Some sources of social inequality, such as racism, cannot be eliminated by legislation. But societies can legislate changes in public spending that benefit pregnant mothers.”13(p10)
Social researchers and laboratory scientists can agree that supporting pregnant and new mothers, including through the previously listed policies, would be beneficial. Yet, viewing the legislation of prenatal care or maternity leave policies as substantially more feasible than addressing racism skirts the fundamental political issue of persistent racism and other structural impediments that thwart elevating US family policies to meaningful levels.22,53 If it were straightforward to legislate and also institutionalize changes in public spending that benefit pregnant mothers, such practices would be established. Advocates for maternal and child health and for family welfare have sought to improve access to prenatal care, promote breastfeeding, and institutionalize maternity leave, with little evidence of broad, meaningful success. The current deficit, congressional gridlock, decimation of state and local budgets, fear of “socialized medicine,” skepticism of science, and more fundamentally, ideological disagreements regarding the proper roles of personal responsibility, the free market, and government all create a staging ground where legislating public spending to benefit pregnant mothers is a daunting task. In this environment, any policy gains to benefit mothers and infants will be hard fought and risk being politically fragile.
Solutions following from cumulative stress hypotheses target the social patterning of stressors across the lifespan—importantly, including young through middle-aged adults—and flow from an understanding that health behaviors are embedded in larger social systems, with changes in behaviors difficult to achieve and potentially reverberating adversely through communities when achieved in isolation.54 Even assuming the best scientific evidence and knowledge of social realities, forming policies that buffer Black pregnant women and mothers from stress is no small task. No bubble exists for pregnant or lactating mothers to inhabit apart from the stressors they cope with throughout their lives. The stressors faced by members of marginalized populations are monumental, and to varying degrees, a reflection of entrenched US racial history. Massive incarceration, decaying housing structures, environmental inequity, and the psychosocial stressors of being marginalized in integrated settings all have roots in a racist past and are maintained by a race-conscious present. None will be addressable through prenatal care or by the “Surgeon General Proclamation on Embryonic Sensitivity” suggested as a strategy by the DOHaD visioning group.18(p13) Arguably, the public spending needed to substantially benefit pregnant mothers and truly buffer them from stress would require major investments in infrastructure and housing; ends to the War on Drugs, racial profiling in the criminal justice system, and mass incarceration; and confronting embedded racial biases. Doing so requires continued struggle, not only legislation. Although hard, it should not be abandoned as hopeless; it is the larger and more essential social change and a prerequisite to instituting sustainable family or other health promoting social policies.22,39,53
The promise of DOHaD for eliminating racial disparities in health offers hope primarily to generations yet to be born. DoHaD offers little in theory or research evidence to be applied to improving health in current generations of adults who developed (or whose mothers developed) in constrained uterine environments. If transgenerational inheritance of adverse epigenetic programming occurs, the only possibilities for supervention are therapies for undoing epigenetic modifications. It is certainly appealing to hope that any aspects of living systems that can be described through chemistry can, someday and somehow, be modified by chemistry.55 However, such therapies would represent an ineffective way to address what are fundamental population-level social problems. Structurally, they are likely to be translated into market-based approaches,56,57 with all that implies in terms of the priority of the profit motive and the differential accessibility of new and expensive pharmaceuticals to members of more and less privileged populations.58,59 Even simple dietary approaches that may counteract negative epigenetic effects are less likely to be available to members of disadvantaged groups who often live in food deserts and are targeted by advertisers marketing unhealthy and easily accessible consumption choices.60 From a political standpoint, there is really no way to finesse or side-step the fundamental social causes of racial inequalities in health,58 whichever conceptual perspective on their biological origins one takes.
In sum, social researchers of many stripes are needed to contribute theoretical, methodological, and substantive insights to the design and interpretation of studies bridging laboratory and social science that aspire to illuminate population health inequality. They also have a crucial role to play in translating study findings into policy and intervention approaches to eliminate them. Short of such inclusion, the interpretation and application of biomedical findings to population health may be charted by lay notions of how the social world works or interacts with the natural one that are, themselves, socially structured and often stereotypical in matters related to race,16 and by market forces pressing scientists, clinicians, and pharmaceutical companies to reap the hoped for financial benefits of “personalized medicine.”56,57 This observation does not detract from the fact that new discoveries of the sources of epigenetic modifications in utero, and perhaps, during other developmental windows, are exciting in their own right. What is needed is as stringent an expectation that epigenetic scientists moving into the social realm deeply engage collaborators with social research bona fides, as we would all agree there is the requirement that social researchers considering molecular mechanisms use quality assured laboratories with a track record of generating accurate and reproducible measurements, and involve molecular scientists, knowledgeable in the latest findings in their field.
Because of its roots in biomedical science, DOHaD researchers have the more direct line to powerful players at National Institutes of Health, scientific journals, and the media. This is a virtue if it commands resources toward eliminating population health inequalities. At the same time, that high priority public health objective will be harder to achieve if the specialized training of DOHaD researchers leads to misinterpretation of existing social science evidence, or worse, sidelines continued, necessary, and socially grounded research in health inequality. To constructively apply epigenetic science to understanding and eliminating population health inequality requires deeply integrating social science theory, research, and techniques with molecular science. It is important to recognize that whatever pieces of the puzzle basic epigenetics research may supply, the study of social inequalities in health is first and always a matter of robust social research.
Acknowledgments
This research was supported by the National Institute on Aging (grant R01 AG032632).
The author is grateful for helpful comments from John Bound, Rachel Snow, Miriam Geronimus, 3 anonymous reviewers, N. E. Barr, and participants of the Burroughs Wellcome Fund and March of Dimes Fourth Biennial Symposium, “Preventing Prematurity: Establishing a Network for Innovation and Discovery,” Newport Beach, CA, December 3–5, 2012.
Human Participant Protection
Institutional review board approval was not needed.
References
- 1.Fraga MF, Ballestar E, Paz MF et al. Epigenetic differences arise during the lifetime of monozygotic twins. Proc Natl Acad Sci U S A. 2005;102(30):10604–10609. doi: 10.1073/pnas.0500398102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Epel ES, Blackburn EH, Lin J et al. Accelerated telomere shortening in response to life stress. Proc Natl Acad Sci U S A. 2004;101(49):17312–17315. doi: 10.1073/pnas.0407162101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Cherkas LF, Aviv A, Valdes AM et al. The effects of social status on biological aging as measured by white-blood-cell telomere length. Aging Cell. 2006;5(5):361–365. doi: 10.1111/j.1474-9726.2006.00222.x. [DOI] [PubMed] [Google Scholar]
- 4.Pearson JA. Can’t buy me Whiteness: new lessons from the Titanic on race, ethnicity, and health. Du Bois Rev. 2008;5(1):27–48. [Google Scholar]
- 5.Geronimus AT, Snow RC. The mutability of women’s health with age: the sometimes rapid, and often enduring, health consequences of injustice. In: Goldman M, Rexrode K, Troisi R, editors. Women & Health. 2nd ed. Salt Lake City, UT: Academic Press; 2013. pp. 21–32. [Google Scholar]
- 6.Gluckman PD, Hanson MA. Mismatch: The Lifestyle Diseases Timebomb. Oxford, UK: Oxford University Press; 2008. [Google Scholar]
- 7.Gluckman PD, Hanson MA, Cooper C, Thornburg KL. Effect of in utero and early-life conditions on adult health and disease. N Engl J Med. 2008;359(1):61–73. doi: 10.1056/NEJMra0708473. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Gluckman PD, Hanson MA. Developmental Origins of Health and Disease. Cambridge, UK: Cambridge University Press; 2006. [Google Scholar]
- 9.Jablonka E, Lachmann M, Lamb MJ. Evidence, mechanisms and models for the inheritance of acquired characters. J Theor Biol. 1992;158(2):245–268. [Google Scholar]
- 10.Bateson P, Gluckman P. Plasticity, Robustness, Development and Evolution. Cambridge, UK: Cambridge University Press; 2011. [Google Scholar]
- 11.Carey N. The Epigenetics Revolution. New York, NY: Columbia University Press; 2012. [Google Scholar]
- 12.Francis RC. Epigenetics: The Ultimate Mystery of Inheritance. New York, NY: Norton & Co; 2011. [Google Scholar]
- 13.Kuzawa CW, Sweet E. Epigenetics and the embodiment of race: developmental origins of US racial disparities in cardiovascular health. Am J Hum Biol. 2009;21(1):2–15. doi: 10.1002/ajhb.20822. [DOI] [PubMed] [Google Scholar]
- 14.Geronimus AT. The weathering hypothesis and the health of African American women and infants. Ethn Dis. 1992;2(3):207–221. [PubMed] [Google Scholar]
- 15.Geronimus AT, Hicken M, Keene D, Bound J. Weathering' and age—patterns of allostatic load scores among Blacks and Whites in the United States. Am J Public Health. 2006;96(5):826–833. doi: 10.2105/AJPH.2004.060749. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.McEwen BS. Protective and damaging effects of stress mediators. N Engl J Med. 1998;338(3):171–179. doi: 10.1056/NEJM199801153380307. [DOI] [PubMed] [Google Scholar]
- 17.Geronimus AT, Hicken MT, Pearson JA, Seashols SJ, Brown KL, Cruz TD. Do US Black women experience stress-related accelerated biological aging? A novel theory and first population-based test of Black-White differences in telomere length. Hum Nat. 2010;21(1):19–38. doi: 10.1007/s12110-010-9078-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Aagaard-Tillery K, Thornburg KL, Bernstein IM, Washburn DA. Scientific Vision Workshop on Developmental Origins of Health and Disease: White Paper. Bethesda, MD: Eunice Kennedy Shriver National Institute of Child Health and Human Development; 2011. pp. 1–14. [Google Scholar]
- 19.Sapolsky RM. Why Zebras Don’t Get Ulcers - A Guide to Stress, Stress-Related Disorders and Coping. 2nd. New York, NY: WH Freeman Publishers; 1998. [Google Scholar]
- 20.James SA. John Henryism and the health of African-Americans. Cult Med Psychiatry. 1994;18(2):163–182. doi: 10.1007/BF01379448. [DOI] [PubMed] [Google Scholar]
- 21.Steptoe A, Feldman PJ, Kunz S, Owen N, Willemsen G, Marmot M. Stress responsivity and socioeconomic status: a mechanism for increased cardiovascular disease risk? Eur Heart J. 2002;23(22):1757–1763. doi: 10.1053/euhj.2001.3233. [DOI] [PubMed] [Google Scholar]
- 22.Geronimus AT, Thompson JP. To denigrate, ignore, or disrupt: racial inequality in health and the impact of a policy-induced breakdown of African American communities. Du Bois Rev. 2004;1(2):247–279. [Google Scholar]
- 23.Paneth N, Ahmed F, Stein A. Early nutritional origins of hypertension: a hypothesis still lacking support. J Hypertens. 1996;14(suppl 5):S121–S129. [PubMed] [Google Scholar]
- 24.Cruickshank JK, Mzayek F, Liu L et al. Origins of the ‘‘black/white’’ difference in blood pressure: roles of birth weight, postnatal growth, early blood pressure, and adolescent body size: The Bogalusa Heart Study. Circulation. 2005;111(15):1932–1937. doi: 10.1161/01.CIR.0000161960.78745.33. [DOI] [PubMed] [Google Scholar]
- 25.LeVine RA, LeVine S, Dixon S . Childcare and Culture: Lessons from Africa. Cambridge, UK: Cambridge University Press; 1994. [Google Scholar]
- 26.Colen CG. Addressing racial disparities in health using life course perspectives: toward a constructive criticism. Du Bois Rev. 2011;8(1):79–94. [Google Scholar]
- 27.Kaufman JS, Cooper RS, McGee DL. Socioeconomic status and health in Blacks and Whites: the problem of residual confounding and the resiliency of race. Epidemiology. 1997;8(6):621–628. [PubMed] [Google Scholar]
- 28.Geronimus AT, Korenman S, Hillemeier MM. Does young maternal age adversely affect child development? Evidence from cousin comparisons in the United States. Popul Dev Rev. 1994;20(3):585–609. [Google Scholar]
- 29.Hotz JV, McElroy SW, Sanders SG. Teenage childbearing and its life cycle consequences: exploiting a natural experiment. J Hum Resour. 2005;40(3):683–715. [Google Scholar]
- 30.Evenhouse E, Reilly S. Improved estimates of the benefits of breastfeeding using sibling comparisons to reduce selection bias. Health Serv Res. 2005;40(6 pt 1):1781–1802. doi: 10.1111/j.1475-6773.2004.00453.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Baker M, Milligan K. Maternal employment, breastfeeding, and health: evidence from maternity leave mandates. J Health Econ. 2008;27(4):871–887. doi: 10.1016/j.jhealeco.2008.02.006. [DOI] [PubMed] [Google Scholar]
- 32.Almond D, Currie J. Killing me softly: the fetal origins hypothesis. J Econ Perspect. 2011;25(3):153–172. doi: 10.1257/jep.25.3.153. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Collins JW, Jr, Wu SY, David RJ. Differing intergenerational birthweights among the descendants of US-born and foreign-born whites and African Americans in Illinois. Am J Epidemiol. 2002;155(3):210–216. doi: 10.1093/aje/155.3.210. [DOI] [PubMed] [Google Scholar]
- 34.David RJ, Collins JW., Jr Differing birth weight among infants of U.S.-born blacks, African-born blacks, and U.S.-born whites. N Engl J Med. 1997;337(17):1209–1214. doi: 10.1056/NEJM199710233371706. [DOI] [PubMed] [Google Scholar]
- 35.Kaestner R, Pearson JA, Keene D, Geronimus AT. Stress, allostatic load and health of Mexican immigrants. Soc Sci Q. 2009;90(5):1089–1111. doi: 10.1111/j.1540-6237.2009.00648.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Cho Y, Hummer RA. Disability status differentials across fifteen Asian and Pacific Islander groups and the effect of nativity and duration of residence in the U.S. Soc Biol. 2001;48(3-4):171–195. doi: 10.1080/19485565.2001.9989034. [DOI] [PubMed] [Google Scholar]
- 37.Viruell-Fuentes EA. Beyond acculturation: immigration, discrimination, and health research among Mexicans in the United States. Soc Sci Med. 2007;65(7):1524–1535. doi: 10.1016/j.socscimed.2007.05.010. [DOI] [PubMed] [Google Scholar]
- 38.James SA. Racial and ethnic differences in infant mortality and low birth weight: a psychosocial critique. Ann Epidemiol. 1993;3(2):130–136. doi: 10.1016/1047-2797(93)90125-n. [DOI] [PubMed] [Google Scholar]
- 39.Geronimus AT. Jedi public health: leveraging contingencies of social identity to grasp and eliminate racial health inequality. In: Gomez L, Lopez N, editors. Mapping ‘Race’: Critical Approaches to Health Disparities Research. Piscataway, NJ: Rutgers University Press; 2013. pp. 188–209. [Google Scholar]
- 40.Weaver IC, Cervoni N, Champagne FA et al. Epigenetic programming by maternal behavior. Nat Neurosci. 2004;7(8):847–854. doi: 10.1038/nn1276. [DOI] [PubMed] [Google Scholar]
- 41.Diorio J, Meaney MJ. Maternal programming of defensive responses through sustained effects on gene expression. J Psychiatry Neurosci. 2007;32(4):275–284. [PMC free article] [PubMed] [Google Scholar]
- 42.Seckl JR, Meaney MJ. Glucocorticoid programming. Ann NY Acad Sci. 2004;1032:63–84. doi: 10.1196/annals.1314.006. [DOI] [PubMed] [Google Scholar]
- 43.Burton LM, Whitfield KE. Weathering towards poorer health in later life: co-morbidity in urban low-income families. Public Policy Aging Rep. 2003;13(3):13–18. [Google Scholar]
- 44.Mullings L, Wali A. Stress and Resilience: The Social Context of Reproduction in Central Harlem. New York, NY: Kluwer Academic/Plenum Publishers; 2001. [Google Scholar]
- 45.Hicks-Bartlett S. Between a rock and a hard place: the labyrinth of working and parenting in a poor community. In: Danziger S, Lin AC, editors. Coping with Poverty: The Social Contexts of Neighborhood, Work and Family in the African-American Community. Ann Arbor, MI: University of Michigan Press; 2000. pp. 27–51. [Google Scholar]
- 46.Balko R. Overkill: The Rise of Paramilitary Police Raids in the United States. Washington, DC: Cato Institute white paper; 2006. [Google Scholar]
- 47.Alexander M. The New Jim Crow. New York, NY: The New Press;; 2010. [Google Scholar]
- 48.Holzer HJ, Offner P, Sorenson E. Declining employment among young Black less-educated men: the role of incarcertation and child support. J Policy Anal Manage. 2005;24(2):329–350. [Google Scholar]
- 49.Western B. Punishment and Inequality in America. New York, NY: Russell Sage Foundation; 2006. [Google Scholar]
- 50.Lancaster JB.Evolutionary and cross-cultural perspectives on single thood Bell R, Bell N.Sociobiology and the Social Sciences Lubbock, TX: Texas Tech University; Press198963–72. [Google Scholar]
- 51.Stack CB, Burton LM. Kinscripts. J Comp Fam Stud. 1993;24(2):157–170. [Google Scholar]
- 52.Jarrett RL, Burton LM. Dynamic dimensions of family-structure in low-income African American families: emergent themes in qualitative research. J Comp Fam Stud. 1999;30(2):177–187. [Google Scholar]
- 53.Gilens M. Why Americans Hate Welfare. Chicago, IL: University of Chicago Press; 1999. [Google Scholar]
- 54.Geronimus AT. To mitigate, resist, or undo: addressing structural influences on the health of urban populations. Am J Public Health. 2000;90(6):867–872. doi: 10.2105/ajph.90.6.867. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Watts G. Will medicine ever be able to halt the process of aging? BMJ. 2011;343 doi: 10.1136/bmj.d4119. d4119. [DOI] [PubMed] [Google Scholar]
- 56.Kahn J. The politics of framing health disparities. Markets and justice. In: Gomez L, Lopez N, editors. Mapping ‘Race’: Critical Approaches to Health Disparities Research. Piscataway, NJ: Rutgers University Press; 2013. pp. 40–60. [Google Scholar]
- 57.Lock M. Eclipse of the gene and the return of divination. Curr Anthropol. 2005;46(suppl 5):S47–S70. [Google Scholar]
- 58.Link BG, Phelan JC. Understanding sociodemographic differences in health. The role of fundamental social causes. Am J Public Health. 1996;86(4):471–473. doi: 10.2105/ajph.86.4.471. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Rubin MS, Colen CG, Link BG. Examination of inequalities in HIV/AIDS mortality in the United States from a fundamental cause perspective. Am J Public Health. 2010;100(6):1053–1059. doi: 10.2105/AJPH.2009.170241. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Zenk SN, Schulz AJ, Israel BA, James SA, Bao S, Wilson ML. Fruit and vegetable access differs by community racial composition and socioeconomic position in Detroit, Michigan. Ethn Dis. 2006;16(1):275–280. [PubMed] [Google Scholar]