Income and HealtH InItIatIve: brIef one
How Are Income And weAltH
lInked to HeAltH And longevIty?
laudan aron
Urban InstItUte
lIsa dubay
Urban InstItUte
saraH m. sImon
VCU Center on soCIety and HealtH
APRIL 2015
emIly ZImmerman
VCU Center on soCIety and HealtH
KIm X. luK
VCU Center on soCIety and HealtH
steven H. Woolf
VCU Center on soCIety and HealtH
Center on
Society
and Health
How are InCome and wealtH lInked to HealtH and longeVIty? 1
The GradienT beTween economic
wellbeinG and healTh
The greater one’s income, the lower one’s likelihood of disease and premature death.
1
Studies show that
Americans at all income levels are less healthy than those with incomes higher than their own.
2
Not only
is income (the earnings and other money acquired each year) associated with better health, but wealth
(net worth and assets) affects health as well.
3
Though it is easy to imagine how health is tied to income for the very poor or the very rich, the relationship
between income and health is a gradient: they are connected step-wise at every level of the economic ladder.
Middle-class Americans are healthier than those living in or near poverty, but they are less healthy than
the upper class. Even wealthy Americans are less healthy than those Americans with higher incomes.
Income is a driving force behind the striking health disparities that many minorities experience. In fact,
although blacks and Hispanics have higher rates of disease than non-Hispanic whites, these differences
are “dwarfed by the disparities identied between high- and low-income populations within each racial/
ethnic group.
4
That is, higher-income blacks, Hispanics, and Native Americans have better health than
members of their groups with less income, and this income gradient appears to be more strongly tied to
health than their race or ethnicity.
People with Lower Incomes Report Poorer
Health and Have a Higher Risk of Disease
Poor adults are almost ve times as likely to report being in fair or poor health as adults with family
incomes at or above 400 percent of the federal poverty level, or FPL, (in 2014, the FPL was $23,850 for
a family of four) (gure 1), and they are more than three times as likely to have activity limitations due to
chronic illness.
5
Low-income American adults also have higher rates of heart disease, diabetes, stroke, and
other chronic disorders than wealthier Americans (table 1).
Source: Schiller, J. S., J. W. Lucas, and J. A. Peregoy. 2012. “Summary Health Stascs for U.S. Adults: Naonal Health Interview Survey, 2011.
Vital and Health Stascs 10 (256): Table 21. hp://www.cdc.gov/nchs/data/series/sr_10/sr10_256.pdf
Figure 1. Self-Report of Fair or Poor Health, by Income, 2011
Percentage of adults
Annual family income
22.8%
Less than $35,000 $35,000–49,999 $50,000–74,999 $75,000–99,999 $100,000 or more
12.9%
9.4%
7.0%
5.6%
2
Infant mortality and children’s health are also strongly linked to family income and maternal education.
2
Rates of low birth weight are highest among infants born to low-income mothers.
6,7
Children in poor
families are approximately four times as likely to be in poor or fair health as children in families with
incomes at or above 400 percent of the FPL.
2
Lower-income children experience higher rates of asthma,
heart conditions, hearing problems, digestive disorders, and elevated blood lead levels.
8,9
In 200608, the
prevalence of asthma was 8.2 percent among nonpoor children but 11.7 percent among poor children and
23.3 percent among poor Hispanic children.
10
Poor children also have more risk factors for disease,
such as childhood obesity, which is a strong predictor of obesity as an adult.
Table 1. Prevalence of Diseases, by Income, 2011 (percent of adults)
The reported higher rates of disease among low-income Americans are accompanied by higher rates of risk
factors. In 2011, smoking was reported by one out of four (27.3 percent) adults from families who earn less
than $35,000 a year, three times the rate of those from families who earn $100,000 a year or more
(9.2 percent).
11
Obesity rates were also higher (31.9 and 21.2 percent, respectively),
11
in part because of lower
DISEASE OR ILLNESS
ANNUAL FAMILY INCOME
Less than
$35,000
$35,000
49,999
$50,000–
74,999
$75,000–
99,999
$100,000
or more
Coronary heart disease 8.1 6.5 6.3 5.3 4.9
Stroke 3.9 2.5 2.3 1.8 1.6
Emphysema 3.2 2.5 1.4 1.0 0.8
Chronic bronchis 6.3 4.0 4.4 2.2 2.4
Diabetes 11.0 10.4 8.3 5.6 5.9
Ulcers 8.7 6.7 6.5 4.7 4.4
Kidney disease 3.0 1.9 1.3 0.9 0.9
Liver disease 2.0 1.6 1.0 0.6 0.7
Chronic arthris 33.4 30.3 27.9 27.4 24.4
Hearing trouble 17. 2 16.0 16.0 16.2 12.4
Vision trouble 12.7 9.8 7.5 5.7 6.6
No teeth 11.6 7.8 5.5 4.2 4.1
Source: J. S., Schiller, J. W. Lucas, and J. A. Peregoy, “Summary Health Stascs for U.S. Adults: Naonal Health Interview Survey, 2011.
Vital and Health Stascs 10, no. 256 (2012): 1–207, tables 1, 4, 8, and 12. hp://www.cdc.gov/nchs/data/series/sr_10/sr10_256.pdf.
How are InCome and wealtH lInked to HealtH and longeVIty? 3
levels of physical activity. In 2011, the proportion of adults who reported getting recommended levels of
aerobic exercise was 36.1 percent for those living in poverty compared with 60.1 percent for those with
incomes at least four times higher than the FPL.
1
Income is also associated with mental health. Compared with people from families who earn more than
$100,000 a year, those with family incomes below $35,000 a year are four times more likely to report
being nervous and ve times more likely to report sadness “all or most of the time” (gure 2).
11
Somatic complaints (i.e., the pain and other physical ailments that people experience due to stress and
depression) also occur more commonly among people with less income.
Figure 2. Feelings of Worthlessness, Hopelessness, and Sadness All or Most of the Time, by Income, 2011
Source: J. S., Schiller, J. W. Lucas, and J. A. Peregoy, “Summary Health Stascs for U.S. Adults: Naonal Health Interview Survey, 2011.
Vital and Health Stascs 10, no. 256 (2012): 1–207, table 14. hp://www.cdc.gov/nchs/data/series/sr_10/sr10_256.pdf.
People with Lower Incomes Live Shorter Lives
At age 25, Americans in the highest income group can expect to live more than six years longer than their
poor counterparts (gure 3).
12
The Social Security Administration reports that retirees at age 65 are living
longer, but since the 1970s those with earnings in the top half of the income distribution have seen their life
expectancy increase by more (6.0 years) than those in the bottom half (1.3 years).
13
Less than $35,000 $35,000–49,999 $50,000–74,999 $75,000–99,999 $100,000 or more
Percentage of adults Sadness Hopelessness Worthlessness
Annual family income
6.4%
4.6%
3.8%
3.2%
2.3%
1.3%
1.2%
2.3%
1.5%
0.6%
0.5%
1.9%
1.1%
0.6% 0.6%
4
Figure 3. Life Expectancy, by Income, 1988–98
Source: Paula Braveman, Susan Egerter, and Colleen Barclay, “Income, Wealth and Health,” Exploring the Social Determinants of Health,
(Princeton, NJ: Robert Wood Johnson Foundaon): 2011.
Note: FPL = federal poverty level.
These income-based differences in life expectancy can also be seen across communities. For example,
Virginias Fairfax County, one of the richest counties in the country, and West Virginia’s McDowell County,
one of the poorest, are separated by just 350 miles; however, the difference in life expectancy between the
two counties is vast. In Fairfax, “men have an average life expectancy of 82 years and women, 85, about the
same as in Sweden.
14
By contrast, the average male and female estimates for life expectancy in McDowell
County are 64 and 73 years, respectively, about the same as in Iraq.
14
how income and wealTh miGhT influence healTh
To some extent, income and wealth directly support better health because wealthier people can afford
the resources that protect and improve health. In contrast to many low-income people, they tend to have
jobs that are more stable and exible; provide good benets, like paid leave, health insurance, and worksite
wellness programs; and have fewer occupational hazards. More afuent people have more disposable
income and can more easily afford medical care and a healthy lifestyle—benets that also extend to
their children.
Lower-Income Americans Are Less Able to Afford
Health Care Services and Health Insurance
People with low incomes tend to have more restricted access to medical care, are more likely to be
uninsured or underinsured, and face greater nancial barriers to affording deductibles, copayments, and
Years an adult can expect to live after age 25
Family income (percent of FPL)
Less than 100% 101–200% 201–400% More than 400%
55.7
53.8
51.4
49.2
How are InCome and wealtH lInked to HealtH and longeVIty? 5
the costs of medicines and other health care expenses. Conditions may change under the Affordable Care
Act, but as of 2011 the probability of being uninsured before age 65 was 28.4 percent for those living in
poverty, 16.5 percent for those with incomes two to three times the FPL, and 5.2 percent for those with
incomes four or more times the FPL.
15
Partly because of reduced access to care and reduced affordability, low-income patients are less likely to
receive recommended health care services, such as cancer screening tests and immunizations. For example,
in 2012 the proportion of adults ages 50 to 75 who reported never having been screened for colorectal
cancer was 19.5 percent for those with annual household incomes of $75,000 or more but 42.5 percent for
those with incomes below $15,000.
16
In 2011, almost one-quarter (23.3 percent) of adults with family incomes under $35,000 per year had no
usual place of medical care, compared with 6.0 percent of those with incomes of $100,000 or higher.
11
Similarly, 22.6 percent reported not having seen a dentist in more than ve years, compared with 4.3
percent of adults with family incomes over $100,000.
11
Families with Greater Resources Can Afford Healthy
Lifestyles and Experience Place-Based Health Benefits
More afuent people can more easily afford regular and nutritious meals, which tend to be more expensive
and less convenient than less nutritious, calorie-dense, high-carbohydrate options and fast foods. People on
low incomes face higher rates of food insecurity. Their difcult living circumstances often preclude active
recreational opportunities for regular exercise, and the cost of gym memberships or exercise equipment
is often prohibitive. They may also face nancial and other barriers to obtaining assistance with lifestyle
changes, such as smoking cessation or assistance with alcohol and drug dependence.
People with higher incomes are more likely to experience place-based health benets, meaning that their
health is positively inuenced by the conditions and assets in their living environment.
12
In other words,
even after adjusting for income and other attributes of individuals and households, health benets appear to
be associated with where people reside.
17
Ellen and Turner (1997) identied six ways in which neighborhood
conditions can inuence the health of individuals: (1) quality of local services, (2) socialization, (3) peer
inuences, (4) social networks, (5) exposure to crime and violence, and (6) physical distance and isolation.
Low-income neighborhoods and areas of concentrated poverty tend to expose their residents to higher rates
of unemployment, crime, adolescent delinquency, social and physical disorder, and residential mobility.
18
The socioeconomic status of individuals and neighborhoods are intertwined with individual and population
health because the local economy determines access to jobs, commerce, schools, and other resources that
enable families to enjoy economic success and place-based health benets. For example, one study found
that “healthy adults residing in socioeconomically deprived neighborhoods died at a higher rate than did
people in relatively less deprived areas, even after accounting for individual-level socioeconomic status,
lifestyle practices, and medical history.
19
Smoking, diabetes, and other conditions are more common for
people living in poor neighborhoods, independent of their income.
20,21
6
Population health is inuenced not only by the economic well-being of individuals and households but also
by the civic and economic vitality of their communities. People unable to afford to live in healthier, more
desirable areas often struggle with challenges related to a variety of community-level health-related factors:
• Access to healthy food. Residents of low-resource neighborhoods often have limited access to sources
of nutritious food,
22
such as supermarkets that sell fresh produce and other healthful food options.
23
They are more likely to live in neighborhoods with food deserts;
24
an overconcentration of fast-food
outlets,
25
convenience stores, corner stores, bodegas, and liquor stores; and a shortage of restaurants
that offer healthful food choices
23
and menu labeling.
26
• Built environment. Low-income communities tend to have limited access to green space, recreational
programs, and facilities for regular exercise and active living.
27
Their neighborhoods are often less
conducive to walking or cycling to school, work, or shopping.
• Advertising. Low-income and minority communities are more frequently targets for advertising of
tobacco, alcohol, and high-calorie foods, often targeted to youth.
• Housing. People with limited resources experience higher rates of inadequate and unstable housing
(and homelessness) and exposure to indoor pollutants (e.g., lead-based paint, asbestos, and dust mites).
28
They often experience barriers to moving to a better neighborhood with healthier housing stock.
• Transportation. Public transportation is often inadequate to enable residents to commute to
employment, to nd a better job, or to reach a supermarket, a reliable childcare provider, or health
care services.
29
• School systems. People with low incomes are more likely to live in poorer neighborhoods with
a weaker tax base, thus reducing local resources that support public schools and social services.
30
Cash-strapped schools in low-income neighborhoods may have inferior resources and
deteriorated buildings.
27
• Jobs and health care. Low-resource neighborhoods often face a shortage of employment
opportunities, as well as primary care providers and high-quality clinical facilities.
31
• Environmental pollution. Low-income residents are less likely to be able to afford living in
neighborhoods that are free of pollutants
32
and may of necessity live near busy highways with vehicle
emissions, factories with billowing smokestacks and water emissions, bus depots, and other sources
of air and water pollution.
33
• Disinvestment. Low-income residential neighborhoods reect urban design legacies that discourage
pedestrian activity and such practices as redlining, which served to isolate and segregate minority
populations. Entrenched patterns reecting long-standing disadvantage often perpetuate cycles of
socioeconomic failure and an inability for low-income neighborhoods to recover. Public policies have
historically led to disinvestment in these neighborhoods, causing persistent segregation, fewer economic
opportunities, and increasing crime.
34
How are InCome and wealtH lInked to HealtH and longeVIty? 7
Other Reasons for Poor Health Among
Low-Income Americans
Income and wealth are part of a complex web of social and economic conditions that affect health
(and each other) over a lifetime.
35
These conditions include education, employment, family structure
(e.g., single motherhood), neighborhood characteristics, and social policies, as well as culture, health beliefs,
and country of origin.
36
Educational achievement is an especially strong predictor of health independent
of income.
37
There is also evidence that when people are exposed to economic disadvantageespecially at
critical developmental stages of life—and to other harmful life conditions they become more vulnerable to
disease processes and experience harmful physiological reactions to toxins in their environment.
38
The stress associated with nancial adversity is believed to have harmful biological effects on the body.
39
Stress is thought to affect hormones and the health of the immune system (a phenomenon called allostatic
load), causing damage to organs and increasing the risk of disease over time.
Health and income affect each other in both directions: not only does higher income facilitate better health,
but poor health and disabilities can make it harder for someone to succeed in school or to secure and retain
a high-paying job.
40
Scientists call this phenomenon reverse causality or selection effects. The role of reverse
causality is not entirely clear, as much of the evidence linking income and health consists of studies that
show an association but are not designed to prove the direction of causal relationships. There is, however, a
small but more compelling body of prospective evidence about the protective effects of income on health.
41
The inTerplay of income and healTh
oVer The life courSe
The health and survival of children are tied to the income of their parents.
2
Early life experiences,
the social and economic status of our parents, and the social and physical environments in our childhood
all matter greatly when it comes to shaping health and economic well-being throughout our own and our
children’s lives. Exposure to unfavorable living conditions and instability in early childhood, beginning as
early as the womb,
42
can have a variety of negative effects on a person’s health and economic future.
43-46
Children exposed to social exclusion and bias, persistent poverty, and trauma can experience toxic stress
and harmful changes in the architecture of the developing brain that affect cognition, behavioral regulation,
and executive function.
47-52
Low-income children in the United States face a variety of challenges at school:
for example, they are assigned disproportionately to “the most inadequately funded schools with the largest
class sizes and lowest-paid teachers.
27
The socioeconomic conditions experienced by children continue to affect their health status
throughout adulthood.
53,54
Long-term studies have shown that children with greater exposure to adverse
childhood events (ACEs) are more likely to develop unhealthy behaviors as adults (e.g., smoking, physical
inactivity, alcoholism, drug abuse, multiple sexual partners) and to have a history not only of adverse
psychological outcomes (e.g., depression, suicidal ideation) but increased risk of physical illnesses.
55
In a classic study, adults who reported four or more ACE categories were twice as likely to have heart
8
disease, cancer, stroke, and diabetes and four times as likely to have chronic lung disease.
50
All the factors
(and the relationships among them) that account for this higher risk are not fully understood; the outcomes
experienced by victims of ACEs, for example, may result from mediating factors such as childhood poverty
and other variables.
Along with the harmful physiological changes induced by stress, ACEs and other difcult early life
conditions can lead to dysfunctional coping skills that result in harmful or risky behaviors, illness, and
injury in adolescence. These negative outcomes can stie later economic success, which means that some
of the links between income and health may actually reect common factors earlier in life.
56-58
Liu and
colleagues reported that the unemployment rate was twice as high (13.2 percent) among adults exposed as
children to four or more ACEs as among those with no exposure (6.5 percent). Even after controlling for
race and ethnicity, the risk of unemployment with four or more ACEs was 3.6 times higher for men and
1.6 times higher for women.
59
Because children exposed to ACEs are more likely to have lower income and
poorer health later in life, an important way to improve health is to address the root causes that expose
children to stress and difcult living environments.
60,61
Early life experiences shape not only an individual’s economic and health outcomes, but the educational,
economic, and health outcomes of that persons family decades and generations later.
60,62,63
Children who
are raised in poverty and suffer poor health can nd it difcult to climb the economic ladder or to leave
disadvantaged neighborhoods, often repeating the cycle when they have their own children. Thus, the
effects of low income and the cycle of poverty can span generations. Increasingly, the medical community
is citing childhood poverty and early childhood adversity as urgent public health priorities.
64-67
recenT economic TrendS may be worSeninG
The impacT of income and wealTh on healTh
For Americans in all social classes except the most afuent, household income, wealth, and assets have
declined in real dollars since the 1990s. Bad economic times, such as the Great Recession, have only
made matters worse. These economic trends have large implications for population health. Some research
suggests that health inequities may be generated not only by low absolute income but also by the rising
degree of economic inequality,
68,69
though there is some controversy as to whether this association is actually
a reection of absolute income levels and other measures of material deprivation.
70
The income gap between
rich and poor in the United States has been increasing for decades and is now seen on
multiple metrics:
• Income. Median household income in the United States is lower now than at its peak in 1999.
71
• Poverty. By 2010, the US poverty rate had reached 15.1 percent, its highest percentage since 1993.
71
• Net worth. Between the recession years of 2007 to 2010, family net worth decreased by 7.7 percent,
with the decline occurring in all groups but the wealthiest 10 percent, whose net worth increased.
72
According to one recent report, 31 percent of American households are living “paycheck to paycheck”
How are InCome and wealtH lInked to HealtH and longeVIty? 9
(they have little liquid wealth in cash or bank accounts), and two-thirds of these households are
not poor (they hold an average of $50,000 in nonliquid assets such as their homes, cars, or
retirement accounts)
.73
• Income inequality. Economists are raising concerns about the growth of income inequality.
74
The
Gini coefcient, a common measure of income inequality, has risen almost every year since 1974,
and the ratio between the 90th and 10th percentiles of household income increased 14.5 percent
between 1999 and 2012.
71
During this time, only the most afuent Americans saw their earnings grow
signicantly; the remainder saw their incomes grow more modestly. Between 2009 and 2012, earnings
in the top 1 percent of the income distribution grew by 31.4 percent, compared to 0.4 percent for the
bottom 99 percent. According to the International Monetary Fund, between 1980 and 2012 the share
of market income for the wealthiest 10 percent increased from approximately 30 to 48 percent but more
than doubled for the wealthiest 1 percent (from 8 to 19 percent) and increased fourfold for the richest
0.1 percent (from 2.6 to 10.4 percent).
75
• Neighborhoods with concentrated poverty. Between 2000 and 2010, the percentage of people living
in areas of concentrated poverty grew from 18.1 to 25.7 percent.
76
• Upward mobility. Social and economic mobility—the ability of poor people to climb the economic
ladderhas lagged in the United States for decades.
77
Children whose parents are in the bottom
quintile of income have a 9.0 percent probability of reaching the top fth of the income distribution.
78
• Education gap. Children from upper-income families may reach school age better prepared because
their parents may be able to make greater investments in early childhood enrichment activities.
79
Over time, the chances of rich and poor getting a higher education have widened. Compared with
children born in 1961 through 1964, children born in 1979 through 1982 were 18 percent more likely
to complete college if they were born to wealthier parents (highest income quartile) but only 4 percent
more likely if their parents were in the lowest income quartile.80 Children born to the highest-income
families are now 69.2 percent more likely to attend college than those from the lowest-income families.
78
• Economic burden on minorities. The economic status of minorities is especially stark. As of 2012,
the median income of black households was $33,321, only 58.4 percent of that of non-Hispanic white
households ($57,009); the median income of Hispanic households was $39,005.
71
Compared with non-
Hispanic whites, blacks and Hispanics were almost three times as likely to fall below the FPL.
71
Even at
the same level of income, blacks and Hispanics have far less wealth than non-Hispanic whites. In 2010,
non-Hispanic whites had twice the income of blacks and Hispanics, but six times the wealth.
81
The net
worth of nonwhite or Hispanic families was $20,400, compared with $130,600 for non-Hispanic
white families.
72
As of 2013, the retirement savings of three out of four households of color was less
than $10,000.82
10
implicaTionS for The uS economy
Implications for American Business
Disadvantaged workers are more likely to generate higher health care costs from their increased risk
of illnesses. Thus, employers of low-income workers pay a double price: in health care expenses and
diminished productivity. Even basic tasks such as standing or lifting are signicantly more difcult for
adults with less income (table 2). Workers with health disabilities also tend to experience higher rates of
absenteeism and “presenteeism” (working while ill or injured), which also cost employers. And economic
struggles mean consumers have less disposable income to purchase products that fuel the success
of businesses.

Sources: J. S., Schiller, J. W. Lucas, and J. A. Peregoy, “Summary Health Stascs for U.S. Adults: Naonal Health Interview Survey, 2011.” Vital
and Health Stascs 10, no. 256 (2012): 1–207, tables 19. hp://www.cdc.gov/nchs/data/series/sr_10/sr10_256.pdf. Julia Holmes, Eve Powell-
Griner, Margaret Lethbridge-Cejku, and Kathleen Heyman, “Aging Dierently: Physical Limitaons among Adults Aged 50 Years and over:
United States, 2001–2007,” NCHS Data Brief No. 20, (Hyasville, MD: Naonal Center for Health Stascs): 2009. hp://www.cdc.gov/nchs/
data/databriefs/db20.pdf.
Note: Although these data are not restricted to working-age adults, the associaon between educaon and diminished physical funcon
appears to diminish with age. Among non-Hispanic whites in 200107, the rao between the prevalence of physical limitaons among adults
with less than a high school educaon and those with more than a high school educaon was 2.4 at ages 50 to 59, 1.9 at ages 60 to 69, 1.5 at
ages 70 to 79, and 1.2 at age 80 and older.
ACTIVITIES THAT
ARE VERY DIFFICULT OR IM
POSSIBLE TO PERFORM
ANNUAL FAMILY INCOME
Less than
$35,000
$35,000
49,999
$50,000–
74,999
$75,000–
99,999
$100,000
or more
Any physical acvity 24.5 16.6 12.6 9.6 8.7
Walking one-quarter mile 12.5 7.0 5.5 4.1 3.9
Climbing 10 steps 9.6 4.9 3.7 2.7 2.8
Standing for two hours 15.7 9.6 7.1 4.9 5.0
Sing for two hours 6.2 3.3 2.0 1.6 1.1
Stooping, bending, or kneeling 14.4 9.5 7.4 5.1 4.7
Grasping or handling small objects 3.1 1.7 1.5 1.2 0.9
Liing or carrying 10 pounds 8.4 3.8 2.6 2.2 2.1
Pushing or pulling large objects 11.8 6.4 4.5 3.6 3.5
How are InCome and wealtH lInked to HealtH and longeVIty? 11
Implications for Health Care Systems
Income and wealth not only affect disease rates, but they are also key to controlling the spiraling costs of
treating diseases, a vexing issue for governments and businesses. As our country debates about the best
policies to help the middle class and the poor, it is important to remember that economic and social policies
are health policies in that they affect life expectancy, disease rates, and health care costs for all Americans
Although a link between economic turmoil and adverse health outcomes has been documented in
certain countries, there is some evidence from industrialized countries that economic recessions can be
followed, at least temporarily, by improved health outcomes.
83
Potential explanations include reductions
in driving and air pollution, fewer unhealthy behaviors, and improved stafng of clinical facilities.
84-86
Other studies, however, have reported that the 2007 recession was followed in the United States by
increases in depression,
87
decreases in breast and cervical cancer screening,
88
worse health outcomes
among the elderly,
89
and an increase in reports of physical ailments such as ulcers and headaches.
90
Implications for Policymakers
Policy areas that may seem distant from healthsuch as those for education, jobs and wages, economic
opportunity, transportation, housing, crime, taxes, economic development, and the environment—can play
a major role in shaping population health.
91
Policies that enhance income and wealth can have important health benets, and this enhancement
may also be true for policies that do not target earnings or jobs directly but that improve conditions for
economic prosperity. For example, policies that reduce ACEs or that promote improved educational
outcomes can translate into improved economic well-being, better health outcomes, and lower health
care costs. Similarly, the effects of unemployment on health may be buffered by unemployment assistance
and other resources (e.g., savings, family resources, and social or business contacts). This policy linkage
was noted by researchers comparing the association between unemployment and mortality in the United
States and Germany: Americans had higher mortality if they were unemployed, but Germans did not.
Further analysis revealed that well-educated Americans did not experience higher mortality rates if
unemployed; it was the minimum-and medium-skilled workers (the population with less access to support
services) whose risk of death was higher.
92
One study outlined three policy directions that offer promise for improving health.
93
1. Earnings and asset development programs that increase the economic self-sufciency of low-
income families and include: place-based employment programs, a focus on “good jobs,” the use
of work incentives, programs that promote banking, car and home ownership, and the use of the
Earned Income Tax Credit.
2. Family-strengthening programs that improve health and educational outcomes, as well as link
families to needed support and benet services and include: nurse home visitation, parenting
12
education, early childhood educational programs, and facilitating the receipt of support
services; and
3. Neighborhood strengthening programs are programs that improve features of the neighborhood,
connect service providers, and engage residents in neighborhood affairs: the use of community
development corporations, comprehensive community initiatives and community
organizing strategies.
Some policy-based solutions lie in government programs, many of which play an important role in
stabilizing personal incomes and also appear to offer health benets.
94
Other solutions lie in economic
policies—both by government and the private sectorthat help to create jobs, teach workers marketable
skills, and foster economic successes for the middle class and poor.
95
Other priorities include stronger
investments in early childhood education and other programs to put children on a stronger path for
success,
43
which have become a priority not only for government but also business leaders
96
and foundations.
5
The benets can extend into late life: a long-term British study reported that children
in the highest socioeconomic position had 7 to 20 percent better cognitive performance (across nine
measures) than those in the lowest position when they were studied at ages 60 to 64 years.
97
People and
interest groups working to solve these problems are doing more than improving income and wealth:
they are ultimately beneting population health for all age groups. For more information about specic
policy options, see “Can Income-Related Polices Improve Population Health?
connecTinG The doTS
Improving the economic conditions of Americans at many income levels—from those who are poor
to those in the middle classcould improve health and help control the rising costs of health care.
Jobs, education, and other drivers of economic prosperity matter to public health.
Boom line: beer economic condions for American families mean longer lives and beer
health, and beer health means lower health care costs.
How are InCome and wealtH lInked to HealtH and longeVIty? 13
noTeS
1
Naonal Center for Health Stascs. 2012. Health, United States, 2011: With Special Feature on Socioeconomic
Status and Health. Hyasville, MD: US Department of Health and Human Services, Centers for Disease
Control and Prevenon, Naonal Center for Health Stascs. hp://www.cdc.gov/nchs/data/hus/hus11.pdf.
2
Braveman, Paula A., Catherine Cubbin, Susan Egerter, David R. Williams, and Elsie Pamuk. 2010. “Socioeconomic
Disparies in Health in the United States: What the Paerns Tell Us.American Journal of Public Health
100 (S1): S186–S196. hp://www.ncbi.nlm.nih.gov/pmc/arcles/PMC2837459/.
3
Pollack, C. E., C. Cubbin, A. Sania, M. Hayward, D. Vallone, B. Flaherty, and P. A. Braveman. 2013. “Do Wealth
Disparies Contribute to Health Disparies within Racial/Ethnic Groups?Journal of Epidemiology and
Community Health 67 (5): 439–45. hp://www.ncbi.nlm.nih.gov/pubmed/23427209.
4
Dubay, Lisa C., and Lydie A. Lebrun. 2012. “Health, Behavior, and Health Care Disparies: Disentangling the
Eects of Income and Race in the United States. Internaonal Journal of Health Services 42 (4): 60725.
hp://www.pubfacts.com/detail/23367796/Health-behavior-and-health-care-disparies:-disentangling-the-
eects-of-income-and-race-in-the-Uni.
5
Braveman, P., and S. Egerter. 2008. Overcoming Obstacles to Health: Report from the Robert Wood Johnson
Foundaon to the Commission to Build a Healthier America. Princeton, NJ: Robert Wood Johnson Foundaon.
hp://www.commissiononhealth.org/PDF/ObstaclesToHealth-Report.pdf.
6
Blumenshine, P., S. Egerter, C. J. Barclay, C. Cubbin, and P. A. Braveman. 2010. “Socioeconomic Disparies in
Adverse Birth Outcomes: A Systemac Review.American Journal of Prevenve Medicine 39 (3): 263–72.
hp://www.ncbi.nlm.nih.gov/pubmed/20709259.
7
Dubay, L., T. Joyce, R. Kaestner, G. M. Kenney. 2001. “Changes in Prenatal Care Timing and Low Birth Weight by
Race and Socioeconomic Status: Implicaons for the Medicaid Expansions for Pregnant Women.Health
Services Research 36 (2): 373–98. hp://www.ncbi.nlm.nih.gov/pmc/arcles/PMC1089229/.
8
Pamuk, Elsie R., Diane M. Makuc, Katherine E. Keck, Cynthia Reuban, and Kimberly Lochner. 1998. Health, United
States, 1998: Socioeconomic Status and Health Chartbook. Hyasville, MD: Naonal Center for Health
Stascs. hp://www.cdc.gov/nchs/data/hus/hus98cht.pdf.
9
Case, Anne, Darren Lubotsky, and Chrisna Paxson. 2002. “Economic Status and Health in Childhood: The
Origins of the Gradient. American Economic Review 92 (5): 1308–334. hp://www.jstor.org/discover/10.2
307/3083252?uid=3739960&uid=2&uid=4&uid=3739256&sid=21104819429221.
10
Moorman, Jeanne E., Hace Zahran, Benedict I. Truman, and Michael T. Molla. 2011. “Current Asthma
Prevalence: United States, 2006–2008.Morbidity and Mortality Weekly Report 60 (01): 84–6.
hp://www.cdc.gov/mmwr/preview/mmwrhtml/su6001a18.htm.
11
Schiller, J. S., J. W. Lucas, and J. A. Peregoy. 2012. “Summary Health Stascs for U.S. Adults: Naonal Health
Interview Survey, 2011.Vital and Health Stascs 10 (256): Tables 1, 3, 4, 8, 12, 14, 19, 33, and 39.
hp://www.cdc.gov/nchs/data/series/sr_10/sr10_256.pdf.
14
12
Braveman, P., S. Egerter, and C. Barclay. 2011. Issue Brief Series: Exploring the Social Determinants of Health:
Income, Wealth and Health. Princeton, NJ: Robert Wood Johnson Foundaon. hp://www.rwjf.org/
content/dam/farm/reports/issue_briefs/2011/rwjf70448.
13
Waldron, Hilary. 2007. “Trends in Mortality Dierenals and Life Expectancy for Male Social Security–Covered
Workers, by Average Relave Earnings.” ORES Working Paper No. 108. US Social Security Administraon,
Oce of Policy. hp://www.ssa.gov/policy/docs/workingpapers/wp108.html.
14
Lowrey, Annie. 2014. “Income Gap, Meet the Longevity Gap.New York Times, March 15. hp://www.nymes.
com/2014/03/16/business/income-gap-meet-the-longevity-gap.html?_r=0. (Accessed August 7, 2014.)
15
Naonal Center for Health Stascs. 2013. Health, United States, 2012: With Special Feature on Emergency Care.
Hyasville, MD: US Department of Health and Human Services, Centers for Disease Control and Prevenon,
Naonal Center for Health Stascs. hp://www.cdc.gov/nchs/data/hus/hus12.pdf.
16
Klabunde, Carrie N., Djenaba A. Joseph, Jessica B. King, Arica White, and Marcus Plescia. 2013. “Vital Signs:
Colorectal Cancer Screening Test Use—United States, 2012.” Morbidity and Mortality Weekly Report 62
(44): 881–8.
17
Chow, J. C., M. A. Johnson, M. J. Ausn. 2005. “The Status of Low-Income Neighborhoods in the Post-Welfare
Reform Environment: Mapping the Relaonship between Poverty and Place.” Journal of Health and Social
Policy 21 (1): 132.
18
Ellen IG, Turner MA. Does neighborhood maer? Assessing recent evidence. Housing Policy Debate
1997;8(4):833-865.
19
Doubeni, C. A., M. Schootman, J. M. Major, R. A. Stone, A. O. Laiyemo, Y. Park, M. Lian, L. Messer, B. I.
Graubard, R. Sinha, A. R. Hollenbeck, and A. Schatzkin. 2012. “Health Status, Neighborhood Socioeconomic
Context, and Premature Mortality in the United States: The Naonal Instutes of Health-AARP Diet and
Health Study.American Journal of Public Health 102 (4): 680–8. hp://www.ncbi.nlm.nih.gov/
pubmed/21852636.
20
Mathur, Charu, Darin J. Erickson, Melissa H. Sgler, Jean L. Forster, and John R. Finnegan, Jr. 2013. “Individual
and Neighborhood Socioeconomic Status Eects on Adolescent Smoking: A Mullevel Cohort-Sequenal
Latent Growth Analysis.American Journal of Public Health 103 (3): 543–8. hp://www.ncbi.nlm.nih.gov/pmc/
arcles/PMC3673491/.
21
Gaskin, Darrell J., Roland J. Thorpe Jr., Emma E. McGinty, Kelly Bower, Charles Rohde, J. Hunter Young, Thomas
A. LaVeist, and Lisa Dubay. 2014. “Disparies in Diabetes: The Nexus of Race, Poverty, and Place.American
Journal of Public Health 104 (11): 214755. hp://ajph.aphapublicaons.org/doi/abs/10.2105/
AJPH.2013.301420.
22
Bhaacharya, Jayanta, Janet Currie, and Steven Haider. 2004. “Poverty, Food Insecurity, and Nutrional
Outcomes in Children and Adults.Journal of Health Economics 23 (4): 839–62. hp://www.ncbi.nlm.nih.gov/
pubmed/15587700.
How are InCome and wealtH lInked to HealtH and longeVIty? 15
23
Morland, Kimberley, and Susan Filomena. 2007. “Disparies in the Availability of Fruits and Vegetables between
Racially Segregated Urban Neighbourhoods.Public Health Nutrion 10 (12): 14819. hp:/journals.cambridge.
org/download.php?le=%2FPHN%2FPHN10_12%2FS1368980007000079a.pdf&code=cac7c6b2e65980487
99cf8f415584175.
24
USDA . 20 09. Access to Aordable and Nutrious Food—Measuring and Understanding Food Deserts and Their
Consequences: Report to Congress. Washington, DC: US Department of Agriculture, Economic Research
Service. hp://www.ers.usda.gov/media/242675/ap036_1_.pdf.
25
Kwate, N. O., C. Y. Yau, J. M. Loh, and D. Williams. 2009. “Inequality in Obesigenic Environments: Fast Food
Density in New York City.Health Place 15 (1): 364–73. hp://www.ncbi.nlm.nih.gov/pubmed/18722151.
26
Morland, K., S. Wing, A. Diez Roux, and C. Poole. 2002. “Neighborhood Characteriscs Associated with the
Locaon of Food Stores and Food Service Places.American Journal of Prevenve Medicine 22 (1): 23–9.
hp://www.ncbi.nlm.nih.gov/pubmed/11777675.
27
Dahmann, Nicholas, Jennifer Wolch , Pascale Joassart-Marcelli, Kim Reynolds, and Michael Jerre. 2010. “The
Acve City? Disparies in Provision of Urban Public Recreaon Resources.Health Place 16 (3): 43145.
hp://www.sciencedirect.com/science/arcle/pii/S135382920900135X.
28
Raymond, Jaime, William Wheeler, and Mary Jean Brown. 2011. “Inadequate and Unhealthy Housing, 2007
and 2009.Morbidity and Mortality Weekly Report 60 (01): 217. hp://www.cdc.gov/mmwr/preview/
mmwrhtml/su6001a4.htm.
29
Bostock, L. 2001. “Pathways of Disadvantage? Walking As a Mode of Transport among Low-Income Mothers.
Health and Social Care in the Community 9 (1): 11-18. hp://www.ncbi.nlm.nih.gov/pubmed/11560717.
30
Gorski, Paul C. 2013. Reaching and Teaching Students in Poverty: Strategies for Erasing the Opportunity Gap.
New York, NY: Teachers College Press.
31
Zhang, Xingyou, Robert L. Phillips, Jr., Andrew W. Bazemore, Martey S. Dodoo, Stephen M. Peerson, Imam
Xierall, and Larry A. Green. 2008. “Physician Distribuon and Access: Workforce Priories.A mer ican
Family Physician 77 (10): 1378. hp://www.aafp.org/afp/2008/0515/p1378.html.
32
Mohai, Paul, Paula M. Lanz, Jerey Moreno, James S. House, and Richard P. Mero. 2009. “Racial and
Socioeconomic Disparies in Residenal Proximity to Pollung Industrial Facilies: Evidence from the
Americans’ Changing Lives Study.American Journal of Public Health 99 (suppl 3): S649S56.
hp://micda.psc.isr.umich.edu/pubs/abs/6107.
33
Brulle, Robert J., and David N. Pellow. 2006. “Environmental Jusce: Human Health and Environmental
Inequalies.Annual Review of Public Health 27: 103–24. hp://www.pages.drexel.edu/~brullerj/Annual%20
Review%20of%20Public%20Health%20Brulle-Pellow.pdf.
34
Sharkey, Patrick. 2013. Stuck in Place: Urban Neighborhoods and the End of Progress toward Racial Equality.
Chicago, IL: University Of Chicago Press. hp://press.uchicago.edu/ucp/books/book/chicago/S/
bo14365260.html.
16
35
Kawachi, Ichiro, Nancy E. Adler, and William H. Dow. 2010. “Money, Schooling, and Health: Mechanisms and
Causal Evidence.Annals of the New York Academy of Sciences 1186 (1): 56–68. hp://adsabs.harvard.edu/
abs/2010NYASA1186...56K.
36
Strully, Kate W. 2009. “Job Loss and Health in the U.S. Labor Market.Demography 46 (2): 221–46.
hp://link.springer.com/arcle/10.1353%2Fdem.0.0050.
37
Cutler, D. M., and A. Lleras-Muney. 2006. “Educaon and Health: Evaluang Theories and Evidence.” NBER
Working Paper No. 12352. Cambridge, MA: Naonal Bureau of Economic Research.
38
Morello-Frosch, Rachel, Miriam Zuk, Michael Jerre, Bhavna Shamasunder, and Amy D. Kyle.
2011. “Understanding the Cumulave Impacts of Inequalies in Environmental Health: Implicaons for
Policy.” Health Aairs 30 (5): 879–87. hp://content.healthaairs.org/content/30/5/879.full.
39
McEwen, Bruce S. 2006. “Protecve and Damaging Eects of Stress Mediators: Central Role of the Brain.
Dialogues in Clinical Neuroscience 8 (4): 367–81. hp://www.ncbi.nlm.nih.gov/pubmed/17290796.
40
Lê, Félice, Ana Diez Roux, and Hal Morgenstern. 2013. “Eects of Child and Adolescent Health on Educaonal
Progress.Social Science and Medicine 76 (1): 57–66. hp://www.sciencedirect.com/science/arcle/pii/
S0277953612007277.
41
Deaton, Angus, and Chrisna Paxson. 1999. “Mortality, Educaon, Income, and Inequality among American
Cohorts.” NBER Working Paper No. 7140. Cambridge, MA: Naonal Bureau of Economic Research and
Princeton University Program in Development Studies. hp://www.nber.org/papers/w7140.
42
Barker, D. J. 2004. “The Developmental Origins of Adult Disease.Journal of the American College of Nutrion 23
(6 suppl): 588S–95S. hp://www.ncbi.nlm.nih.gov/pubmed/15640511.
43
Annie E. Casey Foundaon. 2013. The First Eight Years: Giving Kids a Foundaon for Lifeme Success. Balmore:
Annie E. Casey Foundaon. hp://www.aecf.org/resources/the-rst-eight-years-giving-kids-a-foundaon-for-
lifeme-success/.
44
Sandstrom, Heather, and Sandra Huerta. 2013. “The Negave Eects of Instability on Child Development.
Low-Income Working Families Fact Sheet. Washington, DC: Urban Instute. hp://www.urban.org/
uploadedpdf/412908-the-negave-eects-of-instability-on-child-development.pdf.
45
Halfon, N. 2014. “Socioeconomic Inuences on Child Health: Building New Ladders of Social Opportunity.
Journal of the American Medical Associaon 311 (9): 915–17. hp://www.ncbi.nlm.nih.gov/pubmed/24595774.
46
Khazan, O. 2014. “Here’s the Problem with Being Poor That Everyone’s Overlooking.The Atlanc. May 22.
hp://www.businessinsider.com/how-being-poor-makes-you-sick-2014-5. (Accessed August 7, 2014.)
47
Babcock, Elisabeth D. 2014. “Using Brain Science to Design New Pathways Out of Poverty.” Boston, MA:
Crienton Women’s Union. hp://www.liveworkthrive.org/site/assets/Using%20Brain%20Science%20to%20
Create%20Pathways%20Out%20of%20Poverty%20FINAL%20online.pdf.
48
Hanson, Jamie L., Moo K. Chung, Brian B. Avants, Karen D. Rudolph, Elizabeth A. Shirtcli, James C. Gee,
How are InCome and wealtH lInked to HealtH and longeVIty? 17
Richard J. Davidson, and Seth D. Pollak. 2012. “Structural Variaons in Prefrontal Cortex Mediate the
Relaonship between Early Childhood Stress and Spaal Working Memory.Journal of Neuroscience 32 (23):
791725. hp://www.jneurosci.org/content/32/23/7917.short.
49
Hanson, Jamie L., Nicole Hair, Dinggang G. Shen, Feng Shi, John H. Gilmore, Barbara L. Wolfe, and Seth D.
Pollak. 2013. “Family Poverty Aects the Rate of Human Infant Brain Growth.” PLoS One 8 (12): e80954
hp://www.plosone.org/arcle/info%3Adoi%2F10.1371%2Fjournal.pone.0080954.
50
Feli, Vincent J., Robert F. Anda, Dale Nordenberg, David F. Williamson, Alison M. Spitz, Valerie Edwards,
Mary P. Koss, and James S. Marks. 1998. “Relaonship of Childhood Abuse and Household Dysfuncon
Many of the Leading Causes of Death in Adults: The Adverse Childhood Experiences (ACE) Study.American
Journal of Prevenve Medicine 14 (4): 24558. hp://www.theannainstute.org/ACE%20folder%20for%2
website/4RCH.pdf.
51
Hackman, Daniel A., Martha J. Farah, and Michael J. Meaney. 2010. “Socioeconomic Status and the Brain:
Mechanisc Insights from Human and Animal Research.Nature Reviews Neuroscience 11 (9): 6519.
hp://www.ncbi.nlm.nih.gov/pmc/arcles/PMC2950073/.
52
Goesman, Irving I., and Daniel R. Hanson. 2005. “Human Development: Biological and Genec Processes.
Annual Review of Psychology 56: 263–86. hp://www.annualreviews.org/doi/abs/10.1146/annurev.
psych.56.091103.070208.
53
Cohen, S., D. Janicki-Deverts, E. Chen, and K. A. Mahews. 2010. “Childhood Socioeconomic Status and Adult
Health.” Annals of the New York Academy of Sciences 1186: 37–55.
54
Braveman, P., and C. Barclay. 2009. “Health Disparies Beginning in Childhood: A Life-Course Perspecve.
Pediatrics 124 (suppl 3): S163–S75.
55
Dong, M., W. H. Giles, V. J. Feli, S. R. Dube, J. E. Williams, D. P. Chapman, and R. F. Anda. 2004. “Insights into
Causal Pathways for Ischemic Heart Disease: Adverse Childhood Experiences Study.Circulaon 110 (13):
1761–6.
56
Shonko, J. P., W. T. Boyce, and B. S. McEwen. 2009. “Neuroscience, Molecular Biology, and the Childhood
Roots of Health Disparies: Building a New Framework for Health Promoon and Disease Prevenon.
Journal of the American Medical Associaon 301 (21): 225259.
57
Heckman, J. J. 2008. “Role of Income and Family Inuence on Child Outcomes.Annals of the New York Academy
of Sciences 1136: 30723.
58
Mistry, K. B., C. S. Minkovitz, A. W. Riley, S. B. Johnson, H. A. Grason, L. C. Dubay, and B. Guyer. 2012. “A
New Framework for Childhood Health Promoon: The Role of Policies and Programs in Building Capacity and
Foundaons of Early Childhood Health.American Journal of Public Health 102 (9): 1688–96.
hp://www.ncbi.nlm.nih.gov/pubmed/22813416.
59
Liu, Y., J. B. Cro, D. P. Chapman, G. S. Perry, K. J. Greenlund, G. Zhao, and V. J. Edwards. 2013. “Relaonship
between Adverse Childhood Experiences and Unemployment among Adults from Five U.S. States.Social
Psychiatry and Psychiatric Epidemiology 48 (3): 357–69.
18
60
Shonko, J. P., and D. A. Phillips, eds. 2000. From Neurons to Neighborhoods: The Science of Early Child
Development. Naonal Research Council and Instute of Medicine. Washington, DC: Naonal
Academies Press.
61
Duncan, G. J., W. J. Yeung, J. Brooks-Gunn, and J. R. Smith. 1998. “How Much Does Childhood Poverty Aect
the Life Chances of Children?American Sociological Review 63 (3): 406–23.
62
Shonko, J. P. 2010. “Building a New Biodevelopmental Framework to Guide the Future of Early Childhood
Policy.” Child Development 81 (1): 357–67.
63
Shonko, Jack P., Andrew S. Garner, Commiee on Psychosocial Aspects of Child and Family Health Commiee
on Early Childhood, Adopon, and Dependent Care, and Secon on Developmental and Behavioral
Pediatrics. 2012. “The Lifelong Eects of Early Childhood Adversity and Toxic Stress.Pediatrics 129 (1):
e232e46. hp://pediatrics.aappublicaons.org/content/early/2011/12/21/peds.2011-2663.abstract.
64
Dreyer, Bernard P. 2013. “To Create a Beer World for Children and Families: The Case for Ending
Childhood Poverty.Academic Pediatrics 13 (2): 83–90. hp://www.sciencedirect.com/science/arcle/pii/
S1876285913000065.
65
Academic Pediatric Associaon. 2013. “APA Task Force on Childhood Poverty: A Strategic Road-Map.” McLean,
VA: Academic Pediatric Associaon. hp://www.academicpeds.org/public_policy/pdf/APA_Task_Force_
Strategic_Road_Mapver3.pdf.
66
Garner, Andrew S., Jack P. Shonko, Commiee on Psychosocial Aspects of Child and Family Health, Commiee
on Early Childhood, Adopon, and Dependent Care, and Secon on Developmental and Behavioral
Pediatrics. 2012. “Early Childhood Adversity, Toxic Stress, and the Role of the Pediatrician: Translang
Developmental Science into Lifelong Health.Pediatrics 129 (1): e224–e31. hp://pediatrics.aappublicaons.
org/content/129/1/e224.full.pdf.
67
Canadian Medical Associaon. 2013. Health Care in Canada: What Makes Us Sick? Canadian Medical
Associaon Town Hall Report. Oawa, ON: Canadian Medical Associaon.
68
Daniels, Norman, Bruce Kennedy, and Ichiro Kawachi. 2000. Is Inequality Bad for Our Health? Boston, MA:
Beacon Press.
69
Wilkinson, Richard, and Kate Picke. 2009. The Spirit Level: Why Greater Equality Makes Sociees Stronger.
New York, NY: Bloomsbury Press.
70
Deaton, A., and D. Lubotsky. 2003. “Mortality, Inequality and Race in American Cies and States.Social Science
and Medicine 56 (6): 113953.
71
DeNavas-Walt, Carmen, Bernadee D. Proctor, and Jessica C. Smith. 2013. “Income, Poverty, and Health
Insurance Coverage in the United States: 2012.” Current Populaon Reports, P60-245. Washington, DC: US
Census Bureau. hp://www.census.gov/prod/2013pubs/p60-245.pdf.
72
Bricker, Jesse, Arthur B. Kennickell, Kevin B. Moore, and John Sabelhaus. 2012. “Changes in U.S. Family
Finances from 2007 to 2010: Evidence from the Survey of Consumer Finances.” Federal Reserve Bullen 98 (2).
How are InCome and wealtH lInked to HealtH and longeVIty? 19
hp://www.federalreserve.gov/pubs/bullen/2012/pdf/scf12.pdf.
73
Kaplan G, Violante GL, Weidner J. The Wealthy Hand-to-Mouth. Washington, DC: Brookings Instuon, 2014.
74
Pikey T. Capital in the Twenty-First Century. Édions du Seuil, Harvard University Press, 2013.
75
Internaonal Monetary Fund. Fiscal Policy and Income Inequality. IMF Policy Paper. Washington, DC:
Internaonal Monetary Fund, 2014.
76
Bishaw, Alemayehu. 2014. “Changes in Areas with Concentrated Poverty: 2000 to 2010—American Community
Survey Reports.” Washington, DC: US Department of Commerce, Economics and Stascs Administraon,
US Census Bureau. hp://www.census.gov/content/dam/Census/library/publicaons/2014/acs/acs-27.
pdf?eml=gd&utm_medium=email&utm_source=govdelivery.
77
Tankersley, Jim. 2014. “Economic Mobility Hasn’t Changed in a Half-Century in America, Economists Declare.”
Washington Post, January 23. hp://www.washingtonpost.com/business/economy/economic-mobility-
hasnt-changed-in-a-half-century-in-america-economists-declare/2014/01/22/e845db4a-83a2-11e3-8099-
9181471f7aaf_story.html.
78
Chey, Raj, Nathaniel Hendren, Patrick Kline, Emmanuel Saez, and Nicholas Turner. 2014. “Is the United States
Sll a Land of Opportunity? Recent Trends in Intergeneraonal Mobility.” NBER Working Paper No. 19844.
Cambridge, MA: Naonal Bureau of Economic Research. hp://www.nber.org/papers/w19844
79
Reardon, S. F. 2011. “The Widening Academic Achievement Gap between the Rich and the Poor: New Evidence
and Possible Explanaons.In Whither Opportunity? Rising Inequality and the Uncertain Life Chances of Low-
Income Children, edited by R. Murnane and G. Duncan, 91116. New York, NY: Russell Sage Foundaon Press.
80
Bailey, Martha J., and Susan M. Dynarski. 2011. “Gains and Gaps: Changing Inequality in U.S. College Entry and
Compleon.” NBER Working Paper No. 17633. Cambridge, MA: Naonal Bureau of Economic Research.
hp://www.nber.org/papers/w17633.
81
McKernan, Signe-Mary, Caroline Ratclie, Eugene Steuerle, and Sisi Zhang. 2013. Less Than Equal: Racial
Disparies in Wealth Accumulaon. Washington, DC: Urban Instute.
82
Rhee, Nari. 2013. “Race and Rerement Insecurity in the United States.” Washington, DC: Naonal Instute on
Rerement Security. hp://www.giaging.org/documents/NIRS_Report_12-10-13.pdf.
83
Kondilis, Elias, Stathis Giannakopoulos, Magda Gavana, Ioanna Ierodiakonou, Howard Waitzkin, and Alexis
Benos. 2013. “Economic Crisis, Restricve Policies, and the Populaon’s Health and Health Care: The Greek
Case.” American Journal of Public Health 103 (6): 973–9. hp://ajph.aphapublicaons.org/doi/abs/10.2105/AJP
H.2012.301126?prevSearch=Economic+crisis%2C+restricve+policies%2C+and+the+populaon%E2%80%99
s+health+and+health+care%3A+The+Greek+case&searchHistoryKey=&.
84
Ásgeirsdór, Tinna Laufey, Hope Corman, Kelly Noonan, Þórhildur Ólafsdór, and Nancy E. Reichman. 2012.
Are Recessions Good for Your Health Behaviors? Impacts of the Economic Crisis in Iceland.” NBER Working
Paper No. 18233. Cambridge, MA: Naonal Bureau of Economic Research.
hp://www.nber.org/papers/w18233.
20
85
Heutel, Garth, and Christopher J. Ruhm. 2013. “Air Polluon and Procyclical Mortality.” NBER Working Paper
No. 18959. Cambridge, MA: Naonal Bureau of Economic Research. hp://www.nber.org/papers/w18959.
86
Stevens, Ann Hu, Douglas L. Miller, Marianne E. Page, and Mateusz Filipski. 2011. “The Best of Times, the
Worst of Times: Understanding Pro-cyclical Mortality.” NBER Working Paper No. 17657. Cambridge, MA:
Naonal Bureau of Economic Research. hp://www.nber.org/papers/w17657.
87
McInerney, Melissa, and Jennifer M. Mellor. 2012. “Recessions and Seniors’ Health, Health Behaviors, and
Healthcare Use: Analysis of the Medicare Current Beneciary Survey.Journal of Health Economics 31 (5):
744–51. hp://www.sciencedirect.com/science/arcle/pii/S0167629612000884.
88
King, C. J., J. Chen, M. A. Garza, and S. B. Thomas. 2014. “Breast and Cervical Screening by Race/Ethnicity:
Comparave Analyses before and during the Great Recession.” American Journal of Prevenve Medicine 46 (4):
359–67. hp://www.ncbi.nlm.nih.gov/pubmed/24650838.
89
McInerney, Melissa, and Jennifer M. Mellor. 2012. “Recessions and Seniors’ Health, Health Behaviors, and
Healthcare Use: Analysis of the Medicare Current Beneciary Survey.Journal of Health Economics 31 (5):
744–51. hp://www.sciencedirect.com/science/arcle/pii/S0167629612000884.
90
Althouse, B. M., J. P. Allem, M. A. Childers, M. Dredze, and J. W. Ayers. 2014. “Populaon Health Concerns
during the United States’ Great Recession.American Journal of Prevenve Medicine 46 (2): 166–70.
hp://www.ncbi.nlm.nih.gov/pubmed/24439350.
91
Schoeni, Robert F., James S. House, George A. Kaplan, and H. Pollack, eds. 2010. Making Americans Healthier:
Social and Economic Policy As Health Policy. New York, NY: Russell Sage Foundaon.
hps://www.russellsage.org/publicaons/making-americans-healthier.
92
McLeod, C. B., J. N. Lavis, Y. C. MacNab, and C. Hertzman. 2012. “Unemployment and Mortality: A
Comparave Study of Germany and the United States. American Journal of Public Health 102: 154250.
93
Ausn, Michael J., Kathy Lemon, and Ericka Leer. 2005. “Promising Pracces for Meeng the Mulple Needs of
Low-Income Families in Poverty Neighborhoods.Journal of Health and Social Policy 21 (1): 95–117.
94
Arno, P. S., J. S. House, D. Viola, and C. Schechter. 2011. “Social Security and Mortality: The Role of Income
Support Policies and Populaon Health in the United States.Journal of Public Health Policy 32 (2): 234–50.
95
Rigby, Elizabeth. 2013. “Economic Policy: An Important (but Overlooked) Piece of ‘Health in All Policies.’”
Discussion paper. Washington, DC: Instute of Medicine.
96
Carpluk, William. 2013. Championing Success: Business Organizaons for Early Childhood Investments. Washington,
DC: ReadyNaon. hp://www.readynaon.org/uploads//20130423_ReadyNaonACCEFullReportFinal.pdf.
97
Hurst, L., M. Staord, R. Cooper, R. Hardy, M. Richards, and D. Kuh. 2013. “Lifeme Socioeconomic Inequalies
in Physical and Cognive Aging.American Journal of Public Health 103 (9): 1641–8.
How are InCome and wealtH lInked to HealtH and longeVIty? 21
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ABOUT THE CENTER ON SOCIETY AND HEALTH
The Center on Society and Health is an academic research center based at Virginia Commonwealth University
that studies the health implicaons of social factors—such as educaon, income, neighborhood and community
environmental condions, and public policy. These reports about income and health are part of its “Connect
the Dots” iniave to help policymakers and the public appreciate the health implicaons of policies outside of
health care. Read more at www.societyhealth.vcu.edu.
ABOUT THE URBAN INSTITUTE
The nonprot Urban Instute is dedicated to elevang the debate on social and economic policy. For nearly ve
decades, Urban scholars have conducted research and oered evidence-based soluons that improve lives and
strengthen communies across a rapidly urbanizing world. Their objecve research helps expand opportunies
for all, reduce hardship among the most vulnerable, and strengthen the eecveness of the public sector.
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This brief was funded by the Virginia Commonwealth University and the Urban Instute. We are grateful to our
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do not determine our research ndings or the insights and recommendaons of our experts.
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Copyright © April 2015. Urban Instute and Virginia Commonwealth University. Permission is granted for reproducon of this le,
with aribuon to the Urban Instute and Virginia Commonwealth University. The views expressed are those of the authors and should
not be aributed to the Urban Instute, its trustees, or its funders. Cover image courtesy of Shuerstock.