Abstract
While asthma has emerged as a major contributor to disease and disability in American children, the burden of this disease is unevenly distributed within the population. This paper provides a brief overview of social status variables that predict variation in asthma risks and social exposures such as stress and violence that are emerging as important risk factors. However, the central focus of the paper is on the distal social variables that have given rise to unhealthy residential environments in which the risk factors for asthma and other diseases are clustered. Effective initiatives for the prevention and treatment of childhood asthma need to address these non-medical determinants of the prevalence of asthma.
Keywords: childhood asthma prevalence, low-income population, poverty, race, risk factors
A recent review by Gold and Wright demonstrates a pattern of childhood asthma risk in the US population based on race/ethnicity and socioeconomic status (SES).1)Non-white children residing in urban areas and children living in poverty have a significantly higher risk of asthma and higher disease morbidity than white children; for example, asthma prevalence, hospitalization rates, and mortality are higher for black children than for white. Puerto Ricans have an elevated risk of asthma compared to other Latinos. Indicators of area deprivation are also positively related to childhood asthma prevalence and hospitalization, suggesting that SES characteristics at the individual, household, and community level affect a child’s risk of asthma.2
Race/ethnicity and SES are two related but not interchangeable systems of social ordering that affect health risks. Considering how these systems simultaneously affect the distribution of disease can be informative. In the United States, for example, the risk of infant mortality varies by the mother’s education and race; for women of all racial/ethnic categories, the risk of infant death declines as the mother’s education increases. However, the persistence of a racial disadvantage at every level of education is so marked that African American women who have graduated from college have higher rates of infant mortality than white, Asian and Latino women who are high school dropouts.3 The joint effects of race/ethnicity and SES are not typically considered in the study of childhood asthma; however, an examination of asthma prevalence for children under the age of 18 using the National Health Interview Survey data revealed that the risk is particularly high among children at the intersection of disadvantaged racial and socioeconomic status.4 This study found that while black children had a higher prevalence of asthma than white children, the prevalence among Hispanics and whites was similar. While there were no racial differences in asthma rates at moderate and high income levels, among families with incomes less than half the federal poverty level, black children had twice the risk of asthma compared to white children.
Concentration of Illness and Social Adversity
The social patterning of disease is not limited to childhood asthma. Disadvantaged social status predicts higher levels of morbidity and mortality for a broad range of conditions in both children and adults.5, 6 Moreover, illness and social adversity tend to cluster in the same people and places, so that individuals and areas that are at risk for one adverse condition tend to be at risk for multiple social ills. Thus the social distribution of childhood asthma must be understood and addressed in the context of concurrent, multiple adverse living conditions. It is worth noting that recent consensus statements by both the Institute of Medicine of the National Academies 7 and the National Institute of Environmental Health Sciences 8 support the position that examining disparities in environmental health requires attention to both environmental hazards and social conditions.9
Research reveals an association between growing up in conditions of childhood poverty and elevated exposure to a broad range of health-damaging conditions.10 Compared to high SES children, poor children are exposed to higher levels of family turmoil, violence, separation, instability, and chaotic household conditions; experience less support; and have parents who are less responsive and more authoritarian. Poor children are also read to less frequently, watch more TV, have less access to books and computers, and are less likely to have parents involved in their school activities. Evans’ comprehensive review of the negative correlation of childhood poverty also indicates that compared to high SES children, poor children are more likely to consume polluted air and water; reside in noisier, lower quality, and more crowded homes; live in more dangerous neighborhoods with greater physical deterioration and poorer city services; and attend inferior schools and daycare centers. 10 Ethnic minorities and individuals in lower socioeconomic position may also experience greater psychological stress, which may be compounded by the presence of overburdened or absent social supports, psychological morbidity (ie, anxiety, depression), and lack of control over their lives and environment.11
The problems linked to poverty cut across racial lines. Although the rate of poverty in the US is higher for racial and ethnic minorities than it is for whites, the majority of the poor in the U.S. are white.12 Some research indicates that a greater percentage of minority poor experience severe poverty (50% of the poverty threshold) than do the white poor.13 In the year 2005, African Americans earned 61 cents and Hispanics earned 71 cents for every dollar earned by whites.12 Furthermore, racial/ethnic differences in wealth persist at every level of income: for every dollar that whites have, African Americans have 9 cents and Hispanics have 12 cents.(14) Among persons whose income falls in the bottom 20% of all US households, for every dollar of wealth that whites have, blacks have one penny and Latinos have two. Further evidence that the black poor are poorer than the white poor comes from a large federal survey, which documented that even after adjusting for a broad range of socioeconomic, demographic, and household characteristics, African Americans were more likely than whites to experience six economic hardships during the prior year.15 For example, blacks were more likely than whites to have been unable to pay their rent, mortgage, or utility bill; to have had their utilities and telephone service shut off; and to have been evicted from their apartment. The greater economic deprivation of African Americans is also evident at the neighborhood and community level. Research reveals that blacks and Puerto Ricans live in worse neighborhoods than whites with comparable income.12 In fact, in none of the 171 largest cities in the United States did blacks and whites live in comparable neighborhood conditions in terms of poverty rates and the percentage of single parent households.16
Social adversities that affect health risks also cumulate over the life course. Exposure to poor socioeconomic conditions during childhood has been shown to have long-term negative effects on adult health and functioning. For example, in the Coronary Artery Risk Development in Young Adults (CARDIA) study, for both blacks and whites and males and females, low childhood SES as measured by parental education level was associated with poorer baseline pulmonary function among adults, and greater declines in pulmonary functions as assessed on three occasions over a 5-year period.17 This graded association remained significant even after adjustment for current SES, asthma history, smoking history, and other risk factors. Evolving research, summarized below, suggests that differential exposure to stressors and adverse residential conditions over the life course, both independently and cumulatively, may have implications for asthma.
Stress and Asthma
While physical characteristics of neighborhood and housing environments such as air pollution, dampness, dust, and the presence of pests contribute to variations in the risk of asthma within populations, these factors alone do not fully account for the social distribution of childhood asthma.2, 18 Evidence suggests that the social patterning of asthma reflects differential exposure to pathogenic factors in both the physical and social environment. The social environment may contribute to asthma risk due to upstream social factors that determine differential exposure to relevant asthma pathogens 11, 19, 20 and more proximately by contributing to the experience of psychological stress, which is increasingly linked to asthma expression.21, 22 The National Cooperative Inner-City Asthma Study examined psychosocial factors and asthma morbidity in 1528 urban children (ages 4-9 years) and found that 50% of caretakers reported clinically significant levels of psychological distress symptoms on the Brief Symptom Inventory.23 Moreover, the caretaker’s mental health (but not the child’s) was the strongest predictor of asthma hospitalizations among these children.
Much of the association between SES and health disparities may be determined by increased exposure to acute and chronic stress, compounded by the presence of overburdened or absent social supports, psychological morbidity (i.e., anxiety, depression), and lack of control over one’s life.11 Ecological views on health recognize that individual-level health risks and behaviors have multi-level determinants, in part influenced by the social context within which the individual lives; that is, the degree of chronic stress is significantly influenced by the characteristics of the communities in which we live.24 One type of chronic stress that has been investigated in relation to urban children’s development is neighborhood disadvantage (ND), which is characterized by the presence of a number of community-level stressors including poverty, unemployment/underemployment, limited social capital or social cohesion, substandard housing, and high crime/violence exposure rates. In the US, many urban communities are characterized by a high ND level.25
The evidence on the determinants of health disparities among racial and ethnic minorities and low SES populations points to the powerful influence of community characteristics in promoting health and well-being. One potential mediating feature of community life that has generated considerable attention is the concept of “social capital.” Social capital and related constructs have been linked to a community’s economic development; investment in public goods such as education; and crime/violence rates.26 Ongoing work by Wright and colleagues has identified violence exposure as a prevalent factor that influences asthma morbidity in US urban communities.27 Social capital is strongly correlated with violent crime rates, which impact community resilience by undermining social cohesion.28, 29 Thus, high rates of violence and crime within a community and society are not only chronic psychosocial stressors, but also indicators of compromised collective well-being and non-optimal social relations, or social cohesion.30
Empirical Evidence Linking Violence to Asthma Morbidity
The Moving to Opportunity (MTO) study sponsored by the Department of Housing and Urban Development (HUD) suggests that there may be an important link between asthma and violence. The MTO study used a randomized lottery that offered families from high poverty areas (i.e., census tracts with more than 40% of the population at or below poverty level) and public housing to receive vouchers to pay for rental housing from private landlords in census tracts with less than 10% poverty.31 The study found that families with children with asthma who moved to apartments in better neighborhoods rated their children’s asthma as less severe after the move, independent of other risk factors. In the initial phases of the MTO study, in-depth interviews with community residents in the Boston cohort indicated that stress around community violence and worry about safety was important to their health and their biggest motivation for wanting to move.32 Although the initial hypothesis around the benefits of moving participants from high poverty to low poverty neighborhoods centered on quality housing and reduced exposure to indoor allergens, qualitative data collection redirected the focus of the quantitative survey to include the domains of violence, crime, safety, and health.
In a study of 851 children ages 5 to 12 years old and their caretakers enrolled in the Inner-City Asthma Study (ICAS), Wright and colleagues demonstrated an association between higher levels of community violence and increased caretaker-reported asthma symptoms.27 The caretakers reported on community violence prevalence, other negative life events, perceived stress, unwanted thoughts and memories (rumination), caretaker behaviors (e.g., keeping children indoors, smoking, medication adherence), as well as socio-demographic factors (eg, income, employment, race/ethnicity, housing quality). Increased frequency of exposure to violence in the communities predicted a greater number of asthma symptom days among the children even after controlling for socioeconomic factors and housing dilapidation. Caretakers reporting high-level violence in these analyses were also more likely to ruminate. Ongoing rumination may impact problem-solving skills, erode perceived control, and decrease motivation to manage ongoing challenges, including management of a chronic illness such as asthma. Caregivers who use ruminative coping strategies may experience greater stress and psychological comorbidity, especially depression, which, as noted previously, may directly influence the child. A caretaker’s psychological adjustment may affect the child’s asthma morbidity by contributing to less effective parenting style, inappropriate utilization of health care services, and poor medication adherence.
In a cohort study in Boston, Wright and colleagues retrospectively ascertained lifetime exposure to violence through a parental-report interview questionnaire administered to 416 caregivers and their children who were followed longitudinally for respiratory health outcomes including asthma. Preliminary analyses suggested a link between higher lifetime exposure to community violence and an increased risk of asthma and wheeze syndromes and prescription bronchodilator use.33 In additional analyses, Wright’s research group examined the potential for exposure to community violence to interact with exposure to air pollution.34 Geographic information systems (GIS)-based models were developed to retrospectively estimate residential exposures to traffic-related air pollution for 413 children in an urban Massachusetts community-based pregnancy cohort recruited between 1987 and 1993, using monthly NO2 measurements for 13 sites collected over 18 years. Merging pollution estimates with questionnaire data on lifetime exposure to violence (considered here as a chronic stressor) and prospectively collected repeated-measures data on asthma onset in these urban children, Wright’s group explored the hypothesis that stress may enhance the susceptibility to air pollution in childhood asthma etiology. This approach could be justified given the potential spatial covariance across exposures, and the potential influence of stress and pollution on common physiological pathways (i.e., oxidative stress) and health outcomes (i.e., respiratory disease).21 After correcting for potential confounders including gender, SES, race/ethnicity, tobacco smoke exposure, and lower respiratory tract illnesses, the investigators found an elevated risk of asthma with a SD (4.3 ppb) increase in NO2 exposure specifically among children with above-median violence exposures. Among children who had spent their entire life in the same community, this association was even stronger.
Similar hypotheses could be explored related to the psychological impact of other environmental conditions that are, in part, distributed differently based on SES. For example, housing conditions may result in both differential exposure to important physical environmental risk factors (.g, allergens)20 and an emotional dimension resulting in increased psychological stress.18
Racial Residential Segregation: the 8000-Pound Gorilla
Asthma is a disease of multi-factorial causation, and there appears to be a complex web of factors linking specific household and residential conditions to the risk of asthma. Effective long-term interventions in reducing asthma risk will require identification and extermination of the spiders that are spinning this complex web of causation.35 As discussed below, evidence suggests that residential segregation is a central determinant of black/white disparities in SES at the individual, household, and neighborhood level, and thus a fundamental cause of racial disparities in health, in the US.5
Segregation: History and Current Status
Segregation refers to the physical separation of the races by enforced residence in restricted areas. It developed in the late 19th and early 20th centuries in the US to protect whites from residential proximity to blacks. One of the most striking features of segregation is its persistence over time in spite of dramatic societal changes with regards to race. In the 2000 US Census, the dissimilarity index (a widely used measure of segregation) was 66, meaning that two-thirds of African Americans would have to move in order to ensure an even distribution within the population.36 Although there has been modest decline in segregation in recent decades, most of it has been due to a few blacks moving into formerly all-white residential areas; this decline in segregation has not reduced the number of very high percentage black census tracts, the residential isolation of most African Americans, and the concentration of urban poverty.36 Table 1 highlights some of the challenges that segregation poses for children. The table presents socio-demographic information for the 10 most segregated and the 10 least segregated metropolitan areas with the largest chills populations in the US. It shows the segregation score (dissimilarity index) for many of America’s largest cities, including Detroit, Milwaukee, New York, Chicago, and Cleveland; as a point of comparison, the scores for these cities are only slightly lower than the score of 90 for South African cities in 1991, during apartheid.37
Table 1.
Poverty Rate (%) | In High Poverty Areas (%)b |
In Low Income Areas (%)C |
Children’s Exposure to Area Home Owner Rate (%)d |
Prenatal Care (%)e |
Pregnant Smoker (%)e |
Crime (Per 100,000)f |
|||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|||||||||||||||||
Metro Area | Da | Pop size (1000) |
Black (%) |
Black Children |
White Children |
Black Children |
White Children |
Black Children |
White Children |
Black Children |
White Children |
Black | White | Black | White | Murder | Robbery |
High Segregation | |||||||||||||||||
Detroit, MI | 85 | 4442 | 23.4 | 32.5 | 7.2 | 61.3 | 4.8 | 79.7 | 13.5 | 57.9 | 81.1 | 64.9 | 88.5 | 13.4 | 14.8 | 10 | 177.6 |
Gary, IN | 84 | 631 | 19.8 | 36.2 | 7.1 | 64.9 | 3 | 76.9 | 9.2 | 54 | 78.3 | 63.2 | 81.8 | 12.2 | 19.7 | 13.1 | 141 |
Milwaukee, WI | 82 | 1501 | 16 | 42.9 | 4.3 | 67 | 3.3 | 88.1 | 8.6 | 42 | 71.9 | 59.6 | 89.4 | 17.3 | 11.9 | 6.2 | 190.5 |
New York, NY | 82 | 9314 | 23.8 | 32.3 | 13.3 | 65.3 | 20.7 | 60.2 | 16.1 | 27.5 | 52.7 | 54.3 | 73.4 | 4.3 | 2.7 | 6.4 | 273.4 |
Newark, NJ | 80 | 2033 | 22.5 | 25.2 | 3.9 | 40.9 | 1.5 | 77.9 | 9.2 | 36.7 | 77.7 | 44.7 | 82.2 | 11.4 | 7.6 | 8 | 218.1 |
Chicago, IL | 80 | 8273 | 19 | 33.2 | 3.9 | 52.5 | 1.4 | 72.8 | 6.8 | 48.8 | 79.2 | 64.4 | 86.2 | 12.1 | 7.8 | 14.3 | 491.3 |
Cleveland, OH | 77 | 2251 | 18.9 | 37.2 | 7.8 | 59.3 | 6.2 | 73.2 | 12.4 | 50 | 77.3 | 69.5 | 86.3 | 12.6 | 15.9 | 4.6 | 189.5 |
Buffalo, NY | 77 | 1170 | 12 | 44.3 | 9.2 | 85.8 | 9 | 87.7 | 13.8 | 44.6 | 73.5 | 46.5 | 77.2 | 19.6 | 17.9 | 5.6 | 166.4 |
Cincinnati, OH | 74 | 1646 | 13.4 | 37.5 | 8 | 49 | 3 | 65.5 | 19.5 | 42.6 | 74.8 | 70.1 | 89.9 | 13.3 | 19 | 5.5 | 189.9 |
St. Louis, MO | 73 | 2604 | 18.7 | 37.0 | 6.5 | 51.9 | 2.9 | 75.4 | 12.9 | 57.5 | 78.4 | 67.6 | 90.2 | 12.1 | 15.7 | 7.6 | 168.6 |
Average Score | 79 | 3387 | 18.8 | 35.8 | 7.1 | 59.8 | 5.6 | 75.7 | 12.2 | 46.2 | 74.5 | 60.5 | 84.5 | 12.8 | 13.3 | 8.1 | 220.6 |
Low Segregation | |||||||||||||||||
Jacksonville, FL | 54 | 1100 | 21.9 | 29.1 | 8.4 | 34.5 | 2.6 | 50.8 | 14.8 | 61.1 | 73.3 | 72.5 | 88.0 | 4.7 | 15.6 | 9.5 | 202.9 |
Charlotte, NC | 54 | 1499 | 20.7 | 24.0 | 6.3 | 26.3 | 1.6 | 50.4 | 13.8 | 56.6 | 76.5 | 71.3 | 86.7 | 9.7 | 14.8 | 6.1 | 233.0 |
Oklahoma City, OK | 53 | 1083 | 11.2 | 39.4 | 11.4 | 50.7 | 13.4 | 59.6 | 21.2 | 55.9 | 71.2 | 65.9 | 79.2 | 15.6 | 19.7 | 4.8 | 127.4 |
Wilmington, DE | 53 | 586 | 18.2 | 22.5 | 5.1 | 22.1 | 2.1 | 50.4 | 11.3 | 59.3 | 77.1 | 79.2 | 90.7 | 12.8 | 15.1 | 4.1 | 183.1 |
Columbia, SC | 51 | 537 | 32.3 | 26.5 | 6.6 | 30.2 | 3.8 | 50.2 | 15.4 | 62.0 | 78.3 | 66.6 | 82.4 | 6.7 | 13.7 | 8.6 | 188.6 |
Vallejo, CA | 51 | 519 | 12.5 | 19.3 | 7.7 | 4.8 | 1.4 | 35.2 | 17.0 | 62.7 | 67.3 | 64.8 | 77.3 | - | - | 5.5 | 133.9 |
Norfolk, VA | 46 | 1570 | 31.5 | 28.8 | 6.4 | 32.6 | 3.6 | 51.5 | 14.8 | 53.1 | 70.8 | 72.7 | 88.7 | 4.6 | 9.1 | 6.8 | 164.5 |
Raleigh, NC | 45 | 1188 | 23.0 | 23.3 | 4.6 | 22.3 | 2.4 | 50.2 | 13.5 | 58.6 | 74.4 | 69.3 | 89.4 | 9.6 | 7.8 | 6.1 | 151.1 |
Charleston, SC | 44 | 549 | 31.1 | 31.0 | 9.2 | 28.4 | 5.3 | 46.3 | 12.9 | 63.0 | 71.4 | 73.0 | 88.9 | 5.7 | 13.7 | 4.3 | 163.8 |
Greenville, SC | 44 | 962 | 17.7 | 36.0 | 7.1 | 35.7 | 5.2 | 46.8 | 12.8 | 62.3 | 76.8 | 63.1 | 79.7 | 9.8 | 17.2 | 6.8 | 111.0 |
Average Score | 50 | 959 | 22.0 | 28.0 | 7.3 | 28.8 | 4.1 | 49.1 | 14.8 | 59.5 | 73.7 | 69.8 | 85.1 | 8.8 | 14.1 | 6.3 | 165.9 |
Dissimilarity Index is the evennes s with which blacks are located within a metro area, with respect to whites.
High poverty areas are neighborhoods with 40% of residents at or below the poverty level.
Low income areas are neighborhoods in which the median family income for the census tract is less than 80% of the median family income of the metro area as a whole.
Home ownership rate in the average neighborhood in which each racial group lives.
Sources: US Census Bureau, Current Population Survey, 2000; National Center for Health Statistics, 2001-2002; FBI Uniform Crime Reporting Program, 2004. Accessed through the Diversity Data Web Resource, http://diversitydata.sph.harvard.edu.
The level of residential segregation for African Americans is distinctive; historically and currently, blacks are more segregated than any other racial/ethnic group in the US.38 Moreover, while segregation is inversely related to income for Latinos and Asians, it is high at all levels of income for blacks. The most affluent blacks (those with household incomes >$50,000) are more segregated than the poorest Latinos and Asians (those with household incomes <$15,000).37 Importantly, the residential segregation of African Americans does not simply reflect their preferences for residence in segregated areas; both national and regional studies find that African Americans manifest a higher preference for residing in integrated areas than any other racial groups.39
Observers of American society have long noted that segregation plays a key role in shaping socioeconomic opportunities for blacks. In his seminal 1944 treatise on race in America, Myrdal argued that although its influence was indirect and impersonal, residential segregation was nonetheless fundamental to understanding racial inequality in America. 40 After the urban riots of the 1960s, the Kerner Commission noted that residential segregation was the “linchpin” of American race relations and the source of the large and growing racial inequality in SES.41 Historian John Cell argued that residential segregation was one of the United States’ most successful domestic policies of the 20th century 42, and sociologists Massey and Denton have amassed evidence indicating that residential segregation is “the key structural factor for the perpetuation of black poverty in the United States” and “the missing link” in efforts to understand urban poverty.38
Segregation and Health: Multiple Mechanisms
Research reveals that segregation may affect health in general, and asthma in particular, in multiple ways. As a key determinant of racial differences in SES, segregation produces a concentration of poverty and social isolation, and creates pathogenic conditions in social and residential environments.
Segregation, Discrimination, and Socioeconomic Status
“Audit studies in which trained black and white job applicants with identical resumes applied for employment found that, rather than being equally likely to get the job regardless of race, white applicants were 20% more likely to be chosen over black applicants.” 43 In addition to this employment discrimination at the individual level, institutional discrimination based on residential segregation also restricts access to jobs. In the last several decades, low-skilled, high-pay jobs have migrated from the urban, segregated areas where blacks are concentrated to suburban areas.44 Negative racial stereotypes of African Americans and the areas where they are concentrated have been shown to play a role in this migration. A Wall Street Journal analysis of more than 35,000 U.S. companies found that during routine corporate restructuring, relocation, and down-sizing during the economic downturn of 1990-1991, jobs were systematically moved from urban areas with a high concentration of blacks to suburban and rural areas where the proportion of blacks in the labor force was low.45For example, because Sears relocated inner-city distribution centers to suburban communities, blacks accounted for 54% of the job losses at this company, although they were only 16% of the workforce. As a consequence of similar actions across corporate America, blacks were the only racial group that experienced a net loss of jobs during 1990-1991. Other research reveals that corporations explicitly use the racial composition of areas in their decision-making process regarding the location of new plants and the relocation of existing ones.46 A study of the effects of segregation on young African American adults found that the elimination of segregation would completely erase black/white differences in income, education, and unemployment, and reduce racial difference in single motherhood by two-thirds.47
The legacy of segregation is strikingly evident in Table 1. While the average poverty rate for white children stays relatively constant at around 7% in both high- and low-segregation areas, the black child poverty rate is greater in high-segregated areas (average of 36%) than in low-segregated areas (average of 28%). More importantly, the poverty rate for blacks even in the relatively low-segregation areas is still four times higher than the poverty rate for whites in those areas. The overrepresentation of black children in areas of concentrated poverty is also alarmingly high. Defining high-poverty areas as neighborhoods where 40% or more of the residents live in poverty, Table 1 shows that a staggering 60% of black children in highly segregated metropolitan areas live in high poverty areas, compared with 5.6% of white children. In low-segregated metropolitan areas, the percentage of black children in high-poverty neighborhoods is 29%, while the rate for white children is 4.1%.
Segregation and Neighborhood Quality
Residential segregation has led to unequal access to a broad range of services provided by municipal authorities. Segregated residential areas are typically characterized by a disinvestment of economic resources in these neighborhoods that tends to be predictive of poor quality of life on multiple dimensions. Since residents of these areas tend to be less active politically and have little economic clout, elected officials are less likely to encounter vigorous opposition when services are reduced in these areas. One study of the 171 largest metro areas in the US concluded that the worst urban context in which whites reside was better than the average context of black communities.16 These distinctive ecological environments can adversely affect asthma on multiple dimensions. For example, segregation may lead to poor residential conditions such as crowding, which may predispose residents to viral illnesses 48; and deteriorating housing stock, which could increase exposure to indoor allergens .20
Segregation is also associated with elevated exposure to physical and chemical risks, as well as to social disorder.1, 49 Research reveals that segregated, inner-city areas have higher rates of air pollution, such as ozone and ambient particulate matter, which can exacerbate asthma symptoms.50, 51 A longitudinal study of asthmatic school-age children in Detroit—one of the nation’s most segregated cities—found that where levels of air pollution were above the National Ambient Air Quality Standards, lung function was adversely impacted.52 Residence in highly segregated areas is also associated with increased personal and property crime. As shown in Table 1, the average murder and robbery rates in high-segregation metro areas were roughly 24% higher than in low-segregation areas. The risk of exposure to stress, violence, financial strain, family separation, chronic illness, death, and family turmoil are also higher among poor persons in segregated areas; and as noted earlier, there is a link between violence exposure and asthma as well as a link between stress exposure and asthma.
Research also reveals that the conditions in segregated areas can affect the practice of healthy behaviors.53 Poor health behaviors can increase both asthma morbidity and susceptibility.54, 55 Segregated areas are less likely to have recreational facilities such as playgrounds and swimming pools. They are also more likely to have retail outlets for tobacco, alcohol, and fast foods, and to be the targets of marketing campaigns for these substances. Table 1 shows that black women in highly segregated areas are more likely to smoke while pregnant. A study of multiple communities found that wealthy neighborhoods had three times as many grocery stores as low-income neighborhoods, and white neighborhoods had four times as many food stores as black ones.56 African American neighborhoods also had fewer grocery stores within a 5-minute travel distance.57 A Detroit study found that among the most impoverished neighborhoods, majority African American neighborhoods were on average 1.1 miles further from the nearest supermarkets than were white neighborhoods.58
Other research reveals that the available food in grocery stores tends to be of lesser quality in poor segregated areas. A report by the U.S. Select Committee on Hunger concluded that grocery stores located in inner city neighborhoods offer a poorer selection and less fresh food.59 The scarcity of quality food sources serves as a significant barrier to healthy eating. For example, a study of grocery stores in 12 communities found a significant relationship between the availability of healthful grocery products and a healthy individual diet.60 A major study of 10,000 adults in North Carolina, Mississippi, Minnesota, and Maryland concluded that black Americans living in a census tract with at least one supermarket were more likely to meet national dietary health guidelines for fruit and vegetable consumptions and fat intake than blacks living in neighborhoods with no supermarkets. Moreover, for every additional supermarket, produce consumption increased by 32%.56 Thus, the lack of local supermarkets may significantly hinder inner city residents from accessing nutritious food.
Substantial evidence indicates that purchasing power is less in segregated areas because the costs of a broad range of goods and services, including food, are higher in these areas. Chung and Myers conducted a study of grocery store access and prices in the Minneapolis and St. Paul metropolitan area by examining 50 items in 526 stores in inner city and suburban neighborhoods.61) They found that although chain grocery stores charged similar prices in poor and non-poor neighborhoods, such stores were significantly less likely to be located in poor neighborhoods. Only 22% of the chain grocery stores were located in the inner city areas, while nearly half of the convenience and small grocery stores (in which prices were higher than in convenience stores) were located in the inner city areas. Since residents in low-income areas have less access to healthy foods like fruits and vegetables, they often select the least expensive and most filling foods, often at a cost to their health.60
The lack of accessible healthy food may influence asthma through an increased risk of obesity. Recent studies indicate that low SES neighborhoods and areas lacking healthy food sources exhibit higher rates of obesity62, whereas areas with supermarkets have lower rates.63 Obesity, in turn, is a documented risk factor for asthma etiology and morbidity for both children and adults.64-67 Additionally, there is some evidence that inadequate dietary antioxidant intake may increase the risk of asthma and/or decrease children’s pulmonary function.68-71
Segregation and Medical Care
Segregation can also adversely affect access to medical care and to high-quality care. Pharmacies in segregated neighborhoods tend to have inadequate medication supplies 72, and hospitals in these areas are often characterized by limited resources, overcrowding, staff shortages, and outdated equipment —and are more likely to close.73 Greene and colleagues determined that in areas where the poor are nonwhite and in racially segregated areas, physicians are significantly less likely to participate in Medicaid.74) Other research indicates that the overall quality of care is lower in residentially segregated areas 75), with African Americans receiving most of their care from a small group of physicians who are less likely than other doctors to be board-certified and are less able to provide high-quality care and referral to specialty care.76 Table 1 shows that while the receipt of prenatal care is similar for white women in both high- and low-segregation areas, black women in high-segregation areas are significantly less likely to receive prenatal care than their counterparts in low-segregation areas.
The challenges of access to care linked to segregation are intensified by racial disparities in the quality of care. A report from the Institute of Medicine documented that blacks and other minorities face considerable challenges in the receipt of high-quality care.77 This report found that across virtually every therapeutic intervention ranging from high technology procedures to the most elementary forms of diagnostic and treatment interventions, minorities receive fewer procedures and poorer medical care than whites. These racial differences in the quality and intensity of care received persisted even after adjusting for SES, insurance status, stages and severity of disease, comorbidity, and the type of medical facility.
Studies on asthma have repeatedly found that minorities are less likely to receive appropriate asthma medications for preventive care or acute exacerbations .78-81 For example, Finkelstein and colleagues found that young children of racial minorities admitted for asthma exacerbations were less likely than white patients to have taken anti-inflammatory medications and were much less likely to be prescribed a nebulizer for home use upon discharge.79 Another study found that black and Hispanic children received fewer beta2 agonists, and Hispanic children received fewer inhaled corticosteroids (ICS) than white children after adjusting for a range of potential confounders.78 In addition, investigations of federally funded community health centers (CHCs) and inner-city hospitals report significant levels of noncompliance with the National Asthma Education and Preventions Program (NAEPP)-recommended care, including under-use of ICS, peak flow meters, spacers, and written action plans.82, 83 One study, for instance, found that a mere 14% of CHCs followed the NAEPP’s recommended guidelines of having a documented asthma management plan and only 27% performed asthma severity assessments.83
Segregation and Collective Efficacy
Finally, the concentration of social disadvantage linked to segregation has degraded not only physical and material resources, but also social and communal resources historically employed by African American communities. Researchers have noted the adaptive capacity of African Americans to utilize indigenous community resources such as informal control, collective efficacy, and community empowerment to survive years of oppression.9, 16, 52, 84-86 For example, in their examination of differences in resource networks and experiences of community life in black and white communities, Mitchell, Barbarin, and Hurley found that in the absence of formal community resources members of the black community relied more heavily on informal resource networks to meet their needs.85
Residential segregation and the increasing concentration of poverty in recent decades has led to unprecedented areas of concentrated disadvantage where lower income, minority, and single-parent residents are isolated from key resources that support collective social control. The resulting racial and economic exclusion have produced a decline of social control and an increase in violent crime.16, 28, 29, 87, 88 This undermining of community resiliency and social cohesion has implications for asthma. Collective efficacy has been shown to be protective of asthma and other breathing problems,89 perhaps through facilitating health promoting communication, eliminating environmental hazards, and reducing stress through social support networks. In contrast, areas of high mistrust are associated with a tendency to remain indoors, leading to asthma-inducing risk factors such as increased allergen-exposure, a sedentary lifestyle, and social isolation.30 Thus, segregation that results in a “socially toxic” neighborhood environment can exact a physical toll on residents that leaves them vulnerable to asthma.
Implications of Segregation for Childhood Asthma
The social determinants of childhood asthma have important implications for the effective delivery of medical care as well as future research on asthma.
Health Care Delivery Implications
In the delivery of care and the treatment of asthma, health care providers must take the social context seriously. A study of trends over time highlights the importance of redoubling efforts to ensure that poor and minority children receive the appropriate treatment for asthma: between 1989 and 1996, the gap in the use of ICS narrowed for blacks compared to whites, but did not change for Hispanics.90 Additionally, minority patients and children experienced a slower increase in the number of ICS prescriptions during this time period. Moreover, minority children had the smallest increase in prescribed ICS and were still disadvantaged in 1996. These data suggest that the use of prescribed ICS may still be too low in the minority patient population, given that asthma is more prevalent and more severe in this population.
Studies of asthma education interventions in low-income inner city children and their families have documented the need to address multiple contextual and psychosocial issues not targeted by more traditional educational or asthma intervention programs such as the Neighborhood Asthma Coalition and the Asthma Coach programs in St. Louis, Missouri.91 This need is often brought to the investigators’ attention through anecdotal reports from nurse home visitors and educators as well as research field staff. Reflecting the emphasis on the complex and diverse relationships among community-level factors and the pathways of their impacts, both the Neighborhood Asthma Coalition and the Asthma Coach programs reported the need to address topics that might seem to have little pertinence to asthma management.2 Reflecting the diverse stressors that may undermine asthma management, the Asthma Coaches worked with parents not only on key asthma management practices, but also on the stressors in their lives, including problems with landlords or welfare benefits, domestic disputes and community violence; they also addressed safety issues so that participants could attend community education programs planned around asthma and seek employment. In a breastfeeding intervention study among mothers in Baltimore enrolled in the Women, Infants and Children (WIC) program, interviewers also discovered a preoccupation with issues of personal safety among African American mothers living in neighborhoods with high levels of crime and violence. 92 Some participants indicated that they considered breastfeeding impractical because their everyday lives were full of danger and they were very concerned about their safety. Notably, breastfeeding may be an important protective factor related to asthma morbidity.93 This example highlights the multiple intertwined pathways through which social conditions can influence asthma risks.
A model that has been shown to be effective in improving the care of low-income children in general, including the management of asthma, is the Medical-Legal Partnership for Children (MLPC) developed by Boston Medical Center.94 This model has integrated on-site lawyers into the network of specialists to whom primary care providers can refer their patients. With a strained safety-net in the real world, laws and regulations that foster the health and safety of kids and can facilitate the management of childhood asthma are not uniformly implemented. More than half of poor and moderate income families face serious civil and legal challenges that are often not perceived as legal issues. The addition of lawyers to the medical team can promote health, prevent disease, and addresses barriers to the effective care of asthma by screening patients and their families for social problems that can affect asthma management; assisting in the resolution of specific social problems; and enhancing the effectiveness of advocacy by the entire health care team. This team includes physicians and social workers, and ensures that patients receive all the needed services to which they are entitled. The MLPC has enhanced the medical center’s ability to address patient stressors in the areas of housing, immigration, income support, health insurance, education access, and disability and family law by thwarting the illegal denial of various benefits and helping patients navigate the intricacies of bureaucratic regulations that have shifted in recent years from an emphasis on helping families to one of preventing fraud.
Research Implications
They are also important research implications related to the distinctive residential environments in which socially disadvantaged children live. A research approach that focuses on the relationship of individual risk factors related to asthma is unlikely to capture the complex and multidimensional factors that contribute to the variation in asthma prevalence and morbidity. Research is needed that incorporates a life course, cumulative risk perspective and that seeks to integrate how multiple risks and resources linked to the individual, family, housing, neighborhood, and societal level relate to each other and combine to affect childhood asthma. Researchers also need to seriously grapple with the extent to which distinctive residential environments can affect normal physiological processes. Biological adaptations to these residential environments could lead to biological profiles that are different for persons residing in deprived residential areas and possibly to distinctive patterns of interactions between biological and psychosocial factors for African Americans. Importantly, this suggests that the observation of distinctive biological profiles is not necessarily reflective of inherent genetic differences, but could in part reflect adaptations to unique residential environments.
Research on the role of residential conditions clearly suggests that a strategy for improving asthma outcomes on a long-term basis requires policies and interventions that focus on improving the quality of housing and neighborhood conditions for poor children in general and minority children in particular. That is, policies to reduce social disparities in asthma, and in other health outcomes, need to address those factors that coincide with segregation: the concentration of economic disadvantage and the lack of an infrastructure that promotes opportunity. Thus, eliminating the negative effects of segregation on SES, neighborhood conditions, and asthma is likely to require a major infusion of economic resources to improve the social, physical, and economic infrastructure of disadvantaged communities. It is important to recognize that nothing is inherently negative about living in close proximity to persons of one’s own race. The issue is not a problem of segregation per se, but the accumulation of social problems that coincide with the concentration of poverty in high segregation areas in the US.
Conclusions
The research reviewed suggests that the distribution of asthma by race and SES is created by larger inequalities in society of which residential segregation (an institutional legacy of racism) is one determinant. Future research must seek to understand how innate and acquired biological factors interact with conditions in the psychological, social, and physical environment to affect asthma risks and the patterns of asthma distribution. At the same time, eliminating disparities in asthma and asthma care requires acknowledging and documenting the health consequences of social policies, and developing the political will and commitment to implement new strategies to ameliorate the negative effects of these policies by dismantling the structures of racism that created them and establishing programs and strategies that can counteract the pervasive negative effects of institutional discrimination on health. The care of children with asthma can play an important role in this regard by addressing the social determinants of their health as a part of the delivery of medical care.
Acknowledgments
Funding/Support: Preparation of this paper was supported in part by grants R01 MH 59575 and 5 T32 MH16806 from the National Institute of Mental Health, and by the John D. and Catherine T. McArthur Foundation Research Network on Socioeconomic Status and Health. During preparation of this manuscript, RJ Wright was supported by grants R01 ES10932 from the National Institute of Environmental Health and R01HL080674 from the National Heart, Lung, and Blood Institute.
Abbreviations
- CARDIA
Coronary Artery Risk Development in Young Adults
- CHC
community health center
- GIS
geographic information systems
- HUD
Department of Housing and Urban Development (US government)
- ICAS
Inner-City Asthma Study
- ICS
inhaled corticosteroids
- MLPC
Medical-Legal Partnership for Children
- MTO
Moving to Opportunity
- NAEPP
National Asthma Education and Preventions Program
- ND
neighborhood disadvantage
- SES
socioeconomic status
References
- 1.Gold DR, Wright R. Population disparities in asthma. Annu Rev Public Health. 2005;26(1):89–113. doi: 10.1146/annurev.publhealth.26.021304.144528. [DOI] [PubMed] [Google Scholar]
- 2.Wright RJ, Fisher EB. Putting asthma into context: community influences on risk, behavior, and intervention. In: Kawachi I, Berkman LF, editors. Neighborhoods and Health. Oxford University Press; New York, NY: 2003. pp. 233–262. [Google Scholar]
- 3.Pamuk E, Makuk D, Heck K, Reuben C. Socioeconomic Status and Health Chartbook. National Center for Health Statistics; Hyattsville, MD: 1998. [Google Scholar]
- 4.Smith LA, Hatcher-Ross JL, Wertheimer R, Kahn RS. Rethinking race/ethnicity, income, and childhood asthma: racial/ethnic disparities concentrated among the very poor. Public Health Rep. 2005;120(2):109–116. doi: 10.1177/003335490512000203. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Williams DR, Collins C. Racial residential segregation: a fundamental cause of racial disparities in health. Public Health Rep. 2001;116(5):404–416. doi: 10.1093/phr/116.5.404. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Chen E, Matthews KA, Boyce WT. Socioeconomic differences in children’s health: How and why do these relationships change with age. Psychol Bull. 2002;128(2):295–329. doi: 10.1037/0033-2909.128.2.295. [DOI] [PubMed] [Google Scholar]
- 7.Hernandez L, Blazer D, editors. Committee on Assessing Interactions among Social, Behavioral and Genetic Factors in Health, Board on Health Sciences Policy. Institute of Medicine of the National Academies; Washington, DC: 2006. Genes, behavior, and the social environment: Moving beyond the nature/nurture debate. [Google Scholar]
- 8.Summary of the Symposium on Genetic Variation and Gene Environment Interaction in Human Health and Disease. National Institute of Environmental Health Sciences (NIEHS), National Human Genome Research Institute (NHGRI) and National Institute of Alcohol Abuse and Alcoholism (NIAAA); 2003. [Google Scholar]
- 9.Gee GC, Payne-Sturges DC. Environmental Health Disparities: A Framework Integrating Psychosocial and Environmental Concepts. Environ Health Perspect. 2004;112(17):1645–1653. doi: 10.1289/ehp.7074. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Evans GW. The environment of childhood poverty. Am Psychol. 2004;59(2):77–92. doi: 10.1037/0003-066X.59.2.77. [DOI] [PubMed] [Google Scholar]
- 11.Adler NE, Conner Snibbe A. The role of psychosocial processes in explaining the gradient between socioeconomic status and health. Curr Dir Psychol Sci. 2003;12(4):119–123. [Google Scholar]
- 12.DeNavas-Walt C, Proctor BD, Lee CH. Income, Poverty, and Health Insurance Coverage in the United States: 2005. US Census Bureau; Washington, DC: 2006. [Google Scholar]
- 13.DeNavas-Walt C, Cleveland RW. Money income in the United States: 2000. US Census Bureau; Washington, DC: 2002. Current Population Reports P60-213. [Google Scholar]
- 14.Orzechowski SSP. New worth and asset ownership of households: 1998 and 2000. US Census Bureau; Washington, DC: 2003. [Google Scholar]
- 15.Bauman K. Direct measures of poverty as indicators of economic need: evidence from the survey of income and program participation. US Census Bureau Population Division; Washington, DC: 1998. Technical Working Paper No. 30. [Google Scholar]
- 16.Sampson RJ, Wilson WJ, Hagan J, Peterson RD. Toward a theory of race, crime, and urban inequality. In: Hagan J, Peterson R, editors. Crime and Inequality. Stanford University Press; Stanford, CA: 1995. pp. 37–54. [Google Scholar]
- 17.Jackson B, Kubzansky LD, Cohen S, Weiss S, Wright RJ. A matter of life and breath: Childhood socioeconomic status is related to young adult pulmonary function in the CARDIA study. Int J Epidemiol. 2004;33:271–278. doi: 10.1093/ije/dyh003. [DOI] [PubMed] [Google Scholar]
- 18.Sandel M, Wright RJ. When home is where the stress is: expanding the dimensions of housing that influence asthma morbidity. Arch Dis Child. 2006;91(11):942–948. doi: 10.1136/adc.2006.098376. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.O’Neill MS, Jerrett M, Kawachi I, et al. Health, Wealth, and Air Pollution: Advancing Theory and Methods. Environ Health Perspect. 2003;111(16):1861–1871. doi: 10.1289/ehp.6334. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Rauh VA, Chew GR, Garfinkel RS. Deteriorated housing contributes to high cockroach allergen levels in inner-city households. Environ. Health Perspect. 2002;110:323–327. doi: 10.1289/ehp.02110s2323. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Wright RJ, Cohen RT, Cohen S. The impact of stress on the development and expression of atopy. Curr Opin Allergy Clin Immunol. 2005;5(1):23–29. doi: 10.1097/00130832-200502000-00006. [DOI] [PubMed] [Google Scholar]
- 22.Wright RJ. Prenatal maternal stress and early caregiving experiences: implications for childhood asthma risk. Paediatr Perinat Epidemiol. 2007;21(Suppl 3):8–14. doi: 10.1111/j.1365-3016.2007.00879.x. [DOI] [PubMed] [Google Scholar]
- 23.Wade S, Weil C, Holden G, et al. Psychosocial characteristics of inner-city children with asthma: a description of the NCICAS psychosocial protocol. National Cooperative Inner-City Asthma Study. Pediatr Pulmonol. 1997;24(4):263–276. doi: 10.1002/(sici)1099-0496(199710)24:4<263::aid-ppul5>3.0.co;2-l. [DOI] [PubMed] [Google Scholar]
- 24.Taylor SE, Repetti RL, Seeman T. Health psychology: What is an unhealthy environment and how does it get under the skin. Annu Rev Psychol. 1997;48:411–447. doi: 10.1146/annurev.psych.48.1.411. [DOI] [PubMed] [Google Scholar]
- 25.Wilson WJ. The Truly Disadvantaged: The Inner City, the Underclass and Public Policy. University of Chicago Press Chicago; Chicago, IL: 1987. [Google Scholar]
- 26.Kawachi I. Social capital and community effects on population and individual health. Ann NY Acad Sci. 1999;896:120–130. doi: 10.1111/j.1749-6632.1999.tb08110.x. [DOI] [PubMed] [Google Scholar]
- 27.Wright RJ, Mitchell H, Visness CM, et al. Community violence and asthma morbidity: the Inner-City Asthma Study. Am J Public Health. 2004;94(4):625–632. doi: 10.2105/ajph.94.4.625. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Sampson RJ, Morenoff JD, Earls F. Beyond social capital: spatial dynamics of collective efficacy for children. Am Socio Rev. 1999;64(5):633–660. [Google Scholar]
- 29.Kennedy B, Kawachi I, Prothrow-Smith D, Lochner K, Gupta V. Social capital, income inequality, and firearm violent crime. Soc Sci Med. 1998;47:7–17. doi: 10.1016/s0277-9536(98)00097-5. [DOI] [PubMed] [Google Scholar]
- 30.Wright RJ. Health effects of socially toxic neighborhoods: the violence and urban asthma paradigm. Clin Chest Med. 2006;27(3):413–421. doi: 10.1016/j.ccm.2006.04.003. [DOI] [PubMed] [Google Scholar]
- 31.Katz LF, Kling JR, Liebman JB. Moving to opportunity in Boston: early results of a randomized mobility experiment. Q J Econ. 2001;116(2):607–654. [Google Scholar]
- 32.Kling J, Liebman J, Katz L. Bullets don’t got no name: consequences of fear in the ghetto. In: Weisner TS, editor. Discovering Successful Pathways in Children’s Development: Mixed Methods in the Study of Childhood and Family Life. University Of Chicago Press; Chicago, IL: 2005. [Google Scholar]
- 33.Wright RJ, Hanrahan JP, Tager I, Speizer F. Effect of the exposure to violence on the occurrence and severity of childhood asthma in an inner-city population. Am J Respir Crit Care Med. 1997;155:A972. [Google Scholar]
- 34.Clougherty JE, Levy JI, Kubzansky LD, et al. Synergistic effects of traffic-related air pollution and exposure to violence on urban asthma etiology. Environ Health Perspect. 2007;115(8):1140–1146. doi: 10.1289/ehp.9863. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Krieger N. Epidemiology and the web of causation: has anyone seen the spider? Socl Sci Med. 1994;39(7):887–903. doi: 10.1016/0277-9536(94)90202-x. [DOI] [PubMed] [Google Scholar]
- 36.Glaeser EL, Vigdor JL. Racial segregation in the 2000 Census: Promising news. The Brookings Institution; Washington, DC: 2001. [Google Scholar]
- 37.Massey DS. Segregation and stratification: a biosocial perspective. Du Bois Rev. 2004;1(01):7–25. [Google Scholar]
- 38.Massey D, Denton N. American Apartheid: Segregation and the Making of the American Underclass. Harvard University Press; Cambridge, MA: 1993. [Google Scholar]
- 39.Charles CZ. The dynamics of racial residential segregation. Annu Rev Socio. l. 2003;29:167–208. [Google Scholar]
- 40.Myrdal G. An American dilemma: The Negro problem and modern democracy. Harper & Brothers Publishers; New York: 1944. [Google Scholar]
- 41.U.S. National Advisory Commission on Civil Disorders . Report of the U.S. National Advisory Commission on Civil Disorders. Washington, DC: 1968. [Google Scholar]
- 42.Cell J. The Highest Stage of White Supremacy: The Origin of Segregation in South Africa and the American South. Cambridge University Press; New York, NY: 1982. [Google Scholar]
- 43.Fix M, Struyk RJ. Clear and convincing evidence: Measurement of discrimination in America. Urban Institute Press; Washington, DC: 1993. [Google Scholar]
- 44.Wilson WJ. When Work Disappears: The World of the New Urban Poor. Alfred A. Knopf, Inc; New York, NY: 1996. [Google Scholar]
- 45.Sharpe R. Losing Ground: In latest recession, only blacks suffered net employment loss. Wall St J. 1993;LXXIV(233):A1. [Google Scholar]
- 46.Cole RE, Deskins DR., Jr Racial factors in site location and employment patterns of Japanese auto firms in America. Calif Manage Rev. 1988;31(1):9–22. [Google Scholar]
- 47.Cutler DM, Glaeser EL, Vigdor JL. Are ghettos good or bad? Q J Econ. 1997;112:827–872. [Google Scholar]
- 48.Institute of Medicine . Clearing the Air: Asthma and Indoor Air Exposures. National Academy Press; Washington, DC: 2000. [PubMed] [Google Scholar]
- 49.Sampson RJ. The neighborhood context of well-being. Perspect Biol Med. 2003;46(3):S54–S64. [PubMed] [Google Scholar]
- 50.Byrd RS, Joad JP. Urban asthma. Curr Opin Pulm Med. 2006;12(1):68–74. doi: 10.1097/01.mcp.0000199001.68908.45. [DOI] [PubMed] [Google Scholar]
- 51.Schwartz J. Air pollution and children’s health. Pediatrics. 2004;113(4 Suppl):1037–1043. [PubMed] [Google Scholar]
- 52.Lewis TC, Robins TG, Dvonch JT, et al. Air pollution-associated changes in lung function among asthmatic children in Detroit. Environ Health Perspect. 2005;113(8):1068–1075. doi: 10.1289/ehp.7533. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Ellison CG, Boardman JD, Williams DR, Jackson JS. Religious involvement, stress, and mental health: Findings from the 1995 Detroit Area Study. Soc Forces. 2001;80(1):215–249. [Google Scholar]
- 54.Austin JB, Selvaraj S, Godden D, Russell G. Deprivation, smoking, and quality of life in asthma. Arch Dis Child. 2005:253–257. doi: 10.1136/adc.2004.049346. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Hanrahan JP, Tager IB, Segal MR, Tosteson TD, Castile RG. The effect of maternal smoking during pregnancy on early infant lung function. Am Rev Respir Dis. 1992;145:1129–1135. doi: 10.1164/ajrccm/145.5.1129. [DOI] [PubMed] [Google Scholar]
- 56.Morland K, Wing S, Roux AD. The Contextual Effect of the Local Food Environment on Residents’ Diets: The Atherosclerosis Risk in Communities Study. Am J Public Health. 2002;92(11):1761–1767. doi: 10.2105/ajph.92.11.1761. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Helling A, Sawicki D. Race and residential accessibility to shopping and services. Housing Policy Debate. 2003;14(1-2):69–101. [Google Scholar]
- 58.Zenk SN, Schulz AJ, Israel BA, James SA, Bao S, Wilson ML. Neighborhood racial composition, neighborhood poverty, and the spatial accessibility of supermarkets in metropolitan Detroit. Am J Public Health. 2005;95(4):660–667. doi: 10.2105/AJPH.2004.042150. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Obtaining Food: Shopping Constraints of the Poor. US House of Representatives Select Committee on Hunger; Washington, DC: 1990. [Google Scholar]
- 60.Cheadle A, Psaty BM, Curry S, et al. Community-level comparisons between the grocery store environment and individual dietary practices. Prev Med. 1991;20(2):250–261. doi: 10.1016/0091-7435(91)90024-x. [DOI] [PubMed] [Google Scholar]
- 61.Chung C, Myers SL. Do the poor pay more for food? An analysis of grocery store availability and food price disparities. J Consumer Aff. 1999;33(2):276–296. [Google Scholar]
- 62.Morland K, Diez Roux AV, Wing S. Supermarkets, Other Food Stores, and Obesity: The Atherosclerosis Risk in Communities Study. Am J Prev Med. 2006;30(4):333–339. doi: 10.1016/j.amepre.2005.11.003. [DOI] [PubMed] [Google Scholar]
- 63.Wang MC, Kim S, Gonzalez AA, MacLeod KE, Winkleby MA. Socioeconomic and food-related physical characteristics of the neighborhood environment are associated with body mass index. J Epidemiol Commun Health. 2007;61(6):491–498. doi: 10.1136/jech.2006.051680. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Carroll CL, Stoltz P, Raykov N, Smith SR, Zucker AR. Childhood overweight increases hospital admission rates for asthma. Pediatrics. 2007;120(4):734–740. doi: 10.1542/peds.2007-0409. [DOI] [PubMed] [Google Scholar]
- 65.Brisbon N, Plumb J, Brawer R, Paxman D. The asthma and obesity epidemics: The role played by the built environment--a public health perspective. J Allergy Clin Immunol. 2005;115(5):1024–1028. doi: 10.1016/j.jaci.2005.02.020. [DOI] [PubMed] [Google Scholar]
- 66.Chen Y. Obesity may increase the incidence of asthma in women but not in men: longitudinal observations from the Canadian National Population Health Surveys. Am J Epidemiol. 2002;155(3):191–197. doi: 10.1093/aje/155.3.191. [DOI] [PubMed] [Google Scholar]
- 67.Lucas SR, Platts-Mills TAE. Paediatric asthma and obesity. Paediatr Respir Rev. 2006;7(4):233–238. doi: 10.1016/j.prrv.2006.08.001. [DOI] [PubMed] [Google Scholar]
- 68.Gilliland FD, Berhane KT, Li YF, et al. Children’s Lung function and antioxidant vitamin, fruit, juice, and vegetable intake. Am J Epidemiol. 2003;158(6):576–584. doi: 10.1093/aje/kwg181. [DOI] [PubMed] [Google Scholar]
- 69.Harik-Khan RI, Muller DC, Wise RA. Serum vitamin levels and the risk of asthma in children. Am J Epidemiol. 2004;159(4):351–357. doi: 10.1093/aje/kwh053. [DOI] [PubMed] [Google Scholar]
- 70.Riccioni G, Mancini B, Bucciarelli T, di Ilio C, D’Orazio N. Role of anti-oxidants in the treatment of bronchial asthma. Drug Discov Today. 2006;3(3):293–298. [Google Scholar]
- 71.de Luis DA, Armentia A, Aller R, et al. Dietary intake in patients with asthma: A case control study. Nutrition. 2005;21(3):320–324. doi: 10.1016/j.nut.2004.06.027. [DOI] [PubMed] [Google Scholar]
- 72.Morrison RS, Wallenstein S, Natale DK, Senzel RS, Huang LL. “We don’t carry that”: failure of pharmacies in predominantly nonwhite neighborhoods to stock opioid analgesics. N Engl J Med. 2000;342:1023–1026. doi: 10.1056/NEJM200004063421406. [DOI] [PubMed] [Google Scholar]
- 73.Buchmueller TC, Jacobson M, Wold C. How far to the hospital? The effect of hospital closures on access to care. National Bureau of Economic Research; Cambridge, MA: 2004. NBER Working Paper No. 10700. [DOI] [PubMed] [Google Scholar]
- 74.Greene J, Blustein JAN, Weitzman BC. Race, segregation, and physicians’ participation in Medicaid. Milbank Q. 2006;84(2):239–272. doi: 10.1111/j.1468-0009.2006.00447.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Baicker K, Chandra A, Skinner JS, Wennberg JE. Who you are and where you live: how race and geography affect the treatment of medicare beneficiaries. Health Aff. 2004 doi: 10.1377/hlthaff.var.33. Suppl Web Exclusives: VAR33-44. [DOI] [PubMed] [Google Scholar]
- 76.Bach PB, Pham HP, Tate RC, Hargraves JL. Primary care physicians who treat blacks and whites. N Eng J Med. 2004;351(6):575–584. doi: 10.1056/NEJMsa040609. [DOI] [PubMed] [Google Scholar]
- 77.Smedley BD, Stith AY. Unequal Treatment: Confronting Racial and Ethnic Disparities in Healthcare. National Academy Press; Washington, DC: 2003. [PubMed] [Google Scholar]
- 78.Ortega AN, Gergen PJ, Paltiel AD, Bauchner H, Belanger KD, Leaderer BP. Impact of site of care, race, and Hispanic ethnicity on medication use for childhood asthma. Pediatr. 2002;109(1):E1. doi: 10.1542/peds.109.1.e1. [DOI] [PubMed] [Google Scholar]
- 79.Finkelstein JA, Brown RW, Schneider LC, et al. Quality of care for preschool children with asthma: the role of social factors and practice setting. Pediatrics. 1995;95(3):389–394. [PubMed] [Google Scholar]
- 80.Lieu TA, Lozano P, Finkelstein JA, et al. Racial/ethnic variation in asthma status and management practices among children in managed Medicaid. Pediatrics. 2002;109(5):857–865. doi: 10.1542/peds.109.5.857. [DOI] [PubMed] [Google Scholar]
- 81.Cabana MD, Lara M, Shannon J. Racial and ethnic disparities in the quality of asthma care. Chest. 2007;132(5 Suppl):810S–817S. doi: 10.1378/chest.07-1910. [DOI] [PubMed] [Google Scholar]
- 82.Halm EA, Wisnivesky JP, Leventhal H. Quality and access to care among a cohort of inner-city adults with asthma: who gets guideline concordant care? Chest. 2005;128(4):1943–1950. doi: 10.1378/chest.128.4.1943. [DOI] [PubMed] [Google Scholar]
- 83.Hicks LS, O’Malley AJ, Lieu TA, et al. The quality of chronic disease care in U.S. community health centers. Health Aff. 2006;25(6):1712–1723. doi: 10.1377/hlthaff.25.6.1712. [DOI] [PubMed] [Google Scholar]
- xg.Barbarin OA. Community Competence: An Individual Systems Model of Institutional Racism. In: Barbarin O, Good R, Pharr O, Siskind J, editors. Institutional Racism and Community Competence. Department of Health and Human Services; Rockville, MD: 1981. [Google Scholar]
- 85.Mitchell RE, Barbarin OA, Hurley DJ. Problem-solving, resource utilization, and community involvement in a black and a white community. Am J Community Psychol. 1981;9(3):233–246. [Google Scholar]
- 86.Sonn CC, Fisher AT. Sense of community: Community resilient responses to oppression and change. J Community Psychol. 1998;26(5):457–472. [Google Scholar]
- 87.Morenoff JD, Sampson RJ, Raudenbush SW. Neighborhood inequality, collective efficacy, and the spatial dynamics of urban violence. Criminology. 2001;39(3):517–559. [Google Scholar]
- 88.Sampson RJ, Raudenbush SW, Earls F. Neighborhoods and Violent Crime: A Multilevel Study of Collective Efficacy. Science. 1997;277(5328):918–924. doi: 10.1126/science.277.5328.918. [DOI] [PubMed] [Google Scholar]
- 89.Cagney KA, Browning CR. Exploring Neighborhood-level Variation in Asthma and other Respiratory Diseases. The Contribution of Neighborhood Social Context. J Gen Intern Med. 2004;19(3):229–236. doi: 10.1111/j.1525-1497.2004.30359.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Ferris TG, Kuhlthau K, Ausiello J, Perrin J, Kahn R. Are minority children the last to benefit from a new technology? Technology diffusion and inhaled corticosteriods for asthma. Med Care. 2006;44(1):81–86. doi: 10.1097/01.mlr.0000188914.47033.cd. [DOI] [PubMed] [Google Scholar]
- 91.Strunk RC, Sussman LK, Sykes RK, Walker MS. Community Organization to Reduce the Need for Acute Care for Asthma Among African American Children in Low-Income Neighborhoods: The Neighborhood Asthma Coalition. Pediatrics. 2004;114(1):116–123. doi: 10.1542/peds.114.1.116. [DOI] [PubMed] [Google Scholar]
- 92.Bentley ME, Dee DL, Jensen JL. Breastfeeding among low income, African-American women: Power, beliefs and decision making. J Nutr. 2003;133(1):305S–309S. doi: 10.1093/jn/133.1.305S. [DOI] [PubMed] [Google Scholar]
- 93.Wright AL, Sherrill D, Holberg CJ, Halonen M, Martinez FD. Breast-feeding, maternal IgE, and total serum IgE in childhood. J Allergy Clin Immunol. 1999;104(3 Pt 1):589–594. doi: 10.1016/s0091-6749(99)70328-3. [DOI] [PubMed] [Google Scholar]
- 94.Zuckerman B, Sandel M, Smith L, Lawton E. Why pediatricians need lawyers to keep children healthy. Am Acad Pediatr. 2004;114(1):224–228. doi: 10.1542/peds.114.1.224. [DOI] [PubMed] [Google Scholar]