When looking at the social epidemiology of the United States, it is hard to miss the disparities among races. Racial minorities exhibit lower life expectancy and a higher likelihood of death by heart disease and stroke. In terms of infant mortality, indigenous populations have an infant mortality rate that is 60% higher than the rate for whites, while infants born to African American women exhibited the highest rate of infant mortality.^[1] According to a report from the Henry J. Kaiser Foundation (2007), African Americans also have a higher incidence of several other diseases and causes of mortality, from cancer to heart disease to diabetes. In a similar vein, it is important to note that ethnic minorities, including Mexican Americans and Native Americans, also have higher rates of these diseases and causes of mortality than whites.

Lisa Berkman (2009) notes that this gap started to narrow during the Civil Rights movement in the 1960s, but it began widening again in the early 1980s. What accounts for these perpetual disparities in health outcomes among different ethnic groups? Much of the answer lies in the level of healthcare that these groups receive. The National Healthcare Disparities Report (2010) shows that even after adjusting for insurance differences, racial and ethnic minority groups receive poorer quality of care and less access to care than dominant groups. The Report identified these racial inequalities in care:

1. Black Americans, American Indians, and Alaskan Natives received inferior care when compared with white Americans for about 40 percent of measures.
2. Asian ethnic groups received inferior care for about 20 percent of measures.
3. Among whites, Hispanic whites received 60 percent inferior care of measures compared to non-Hispanic whites (Agency for Health Research and Quality 2010). When considering access to care, the figures were comparable.

Health by Socioeconomic Status

Discussions of health by race and ethnicity often overlap with discussions of health by socioeconomic status, since the two concepts are intertwined in the United States. As the Agency for Health Research and Quality (2010) notes, “racial and ethnic minorities are more likely than non-Hispanic whites to be poor or near poor,” so many of the data pertaining to subordinate groups is also likely to be pertinent to low socioeconomic groups. Marilyn Winkleby and her research associates (1992) state that “one of the strongest and most consistent predictors of a person’s morbidity and mortality experience is that person’s socioeconomic status (SES). This finding persists across all diseases with few exceptions, continues throughout the entire lifespan, and extends across numerous risk factors for disease.” Morbidity is the incidence of disease.

It is important to remember that economics are only part of the SES picture; research suggests that education also plays an important role. Phelan and Link (2003) note that many behavior-influenced diseases like lung cancer (from smoking), coronary artery disease (from poor eating and exercise habits), and AIDS initially were widespread across SES groups. However, once information linking habits to disease was disseminated, these diseases decreased in high SES groups and increased in low SES groups. This illustrates the important role of education initiatives regarding a given disease, as well as possible inequalities in how those initiatives effectively reach different SES groups.

Not unique to the United States, there is a pattern of social gradient in health based on education and socioeconomic status: wealthier and more educated households, on average, exhibit longer life expectancy at birth.

Health by Gender

Women are affected adversely both by unequal access to and institutionalized sexism in the healthcare industry. According a report from the Kaiser Family Foundation, women experienced a decline in their ability to see needed specialists between 2001 and 2008. In 2008, one quarter of females questioned the quality of her healthcare (Ranji and Salganico 2011). In this report, we also see the explanatory value of intersection theory. Recall that feminist sociologist Patricia Hill Collins developed this theory, which suggests we cannot separate the effects of race, class, gender, sexual orientation, and other attributes. Further examination of the lack of confidence in the healthcare system by women, as identified in the Kaiser study, found, for example, women categorized as low income were more likely (32 percent compared to 23 percent) to express concerns about healthcare quality, illustrating the multiple layers of disadvantage caused by race and sex.

We can see an example of institutionalized sexism in the way that women are more likely than men to be diagnosed with certain kinds of mental disorders. Psychologist Dana Becker notes that 75 percent of all diagnoses of Borderline Personality Disorder (BPD) are for women, according to the Diagnostic Statistical Manual of Mental Disorders. This diagnosis is characterized by instability of identity, of mood, and of behavior, and Becker argues that it has been used as a catch-all diagnosis for too many women. She further decries the pejorative connotation of the diagnosis, saying that it predisposes many people, both within and outside of the profession of psychotherapy, against women who have been so diagnosed (Becker). This is an example of how BPD is a gendered medical condition.

Many critics also point to the medicalization of women’s issues as an example of institutionalized sexism. Medicalization refers to the process by which previously normal aspects of life are redefined as deviant and thus requiring medical attention. Historically and contemporaneously, many aspects of women’s lives have been medicalized, including menstruation, pre-menstrual syndrome, pregnancy, childbirth, and menopause. The medicalization of pregnancy and childbirth has been particularly contentious in recent decades, with many women opting out of the institutional medical process and choosing a more natural childbirth, perhaps at home and with the aid of a midwife. Fox and Worts (1999) find that all women experience pain and anxiety during the birth process, but that social support relieves both as effectively as medical support. In other words, medical interventions are no more effective than social ones at helping with the difficulties of pain and childbirth. Fox and Worts further found that women with supportive partners ended up with less medical intervention and fewer cases of postpartum depression. Of course, access to quality birth care outside the standard medical models may not be readily available to women of all social classes, and we again see the intersectionality of socioeconomic status and other markers of disadvantage or exclusion.

The State of Health in the United States: The Opioid Epidemic

The opioid epidemic, which is really a subset narrative of significant increases in fatal drug overdoses, affects all races, ethnicities, genders, geographical locations, and socioeconomic groups. By 2016, overdoses from heroin and other opioids kill over 27,000 people annually.^[2] (Note that “opioid” is a broad category that includes naturally-derived opiate substances like heroin as well as synthetic substances such as Oxycontin and fentanyl.) The opioid crisis is very closely linked to healthcare: a dozen states have more opioid prescriptions than people, suggesting that, on average, all individuals have been prescribed at least one drug. As such, healthcare providers are directly involved in the crisis, albeit not the culprit of it. Here are a few facts and graphics from PBS (2017) about the opioid crisis:

1. Drugs kill more Americans than cars do. The odds of dying from an accidental opioid overdose are 1 in 96, while the chances of dying in a motor vehicle crash are 1 in 103. Compare this to other leading causes of death: death from suicide (1 in 88) death from a fall (1 in 114),gun assaults (1 in 285), drowning (1 in 1,117), or choking (1 in 2,696). According to the CDC, 130 Americans die every day because of opioid overdoses.^[3]
2. The group analyzed preventable injuries and deaths in 2017 and found the odds of dying by accidental opioid overdose to be 1 in 96 and the odds of a motor vehicle crash 1 in 103.
3. On average, 130 Americans die each day after overdosing on opioids, according to the Centers for Disease Control and Prevention.
4. Opioids and heroin surpassed cocaine for most deaths. In 2014, Opiods caused 18,893 deaths from overdose, heroin caused 10,574, benzodiazephines caused 7,945, and cocaine caused 5,415.
5. Opioids and heroin have affected all races. While studies shows that some doctors are less likely to prescribe narcotics and painkillers to minority populations, potentially decreasing the number of minorities with access to opioids, minority populations are still affected by the crisis, with rates of deaths by overdoses for whites and Native Americans rising the most between 2010 and 2014.
6. Heroin affects younger populations; opioids older ones, especially those between ages 45 to 65.