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Tuesday, June 18, 2019

Social determinants of health in poverty

From Wikipedia, the free encyclopedia

Health gap in England and Wales, 2011 Census
 
The social determinants of health in poverty describe the factors that affect impoverished populations' health and health inequality. Inequalities in health stem from the conditions of people's lives, including living conditions, work environment, age, and other social factors, and how these affect people's ability to respond to illness. These conditions are also shaped by political, social, and economic structures. The majority of people around the globe do not meet their potential best health because of a "toxic combination of bad policies, economics, and politics". Daily living conditions work together with these structural drivers to result in the social determinants of health.

Poverty and poor health are inseparably linked. Poverty has many dimensions – material deprivation (of food, shelter, sanitation, and safe drinking water), social exclusion, lack of education, unemployment, and low income – that all work together to reduce opportunities, limit choices, undermine hope, and, as a result, threaten health. Poverty has been linked to higher prevalence of many health conditions, including increased risk of chronic disease, injury, deprived infant development, stress, anxiety, depression, and premature death. According to Loppie and Wien, these health afflictions of poverty most burden outlying groups such as women, children, ethnic minorities, and the disabled. Social determinants of health – like child development, education, living and working conditions, and healthcare - are of special importance to the impoverished. 

According to Moss, socioeconomic factors that affect impoverished populations such as education, income inequality, and occupation, represent the strongest and most consistent predictors of health and mortality. The inequalities in the apparent circumstances of individual's lives, like individuals' access to health care, schools, their conditions of work and leisure, households, communities, towns, or cities, affect people's ability to lead a flourishing life and maintain health, according to the World Health Organization. The inequitable distribution of health-harmful living conditions, experiences, and structures, is not by any means natural, "but is the result of a toxic combination of poor social policies and programmes, unfair economic arrangements, and bad politics". Therefore, the conditions of individual's daily life are responsible for the social determinants of health and a major part of health inequities between and within countries. Along with these social conditions, "Gender, education, occupation, income, ethnicity, and place of residence are all closely linked to people's access to, experiences of, and benefits from health care." Social determinants of disease can be attributed to broad social forces such as racism, gender inequality, poverty, violence, and war. This is important because health quality, health distribution, and social protection of health in a population affect the development status of a nation. Since health has been considered a fundamental human right, one author suggests the social determinants of health determine the distribution of human dignity.

Definitions and measurements

Social determinants of health in poverty reveal inequalities in health. Health is defined "as feeling sound, well, vigorous, and physically able to do things that most people ordinarily can do". Measurements of health take several forms including subjective health reports completed by individuals and surveys that measure physical impairment, vitality and well being, diagnosis of serious chronic disease, and expected life longevity.

The World Health Organization defines the social determinants of health as "the conditions in which people are born, grow, live, work and age", conditions that are determined by the distribution of money, power, and resources at global, national, and local levels. There exist two main determinants of health: structural and proximal determinants. Structural determinants include societal divisions between social, economic, and political contexts, and lead to differences in power, status, and privilege within society. Proximal determinants are immediate factors present in daily life such as family and household relationships, peer and work relationships, and educational environments. Proximal determinants are influenced by the social stratification caused by structural determinants. According to the World Health Organization, social determinants of health include early child development, globalization, health systems, measurement and evidence, urbanization, employment conditions, social exclusion, public health conditions, and women and gender equality. Different exposures and vulnerabilities to disease and injury determined by social, occupational, and physical environments and conditions, result in more or less vulnerability to poor health. The World Health Organization's Social Determinants Council recognized two distinct forms of social determinants for health- social position and socioeconomic and political context. The following divisions are adapted from World Health Organization's Social Determinants Conceptual Framework for explaining and understanding social determinants of health.

Social position

Poverty gradient and severity

Within the impoverished population exists a wide range of real income, from less than US$2 a day, to the United States poverty threshold, which is $22,350 for a family of four. Within impoverished populations, being relatively versus absolutely impoverished can determine health outcomes, in their severity and type of ailment. According to the World Health Organization, the poorest of all, globally, are the least healthy. Those in the lowest economic distribution of health, marginalized and excluded, and countries whose historical exploitation and inequality in global institutions of power and policy-making, suffer the worst health outcomes. As such, two broad categories distinguish between relative severity of poverty. Absolute poverty is the severe deprivation of basic human needs such as food, safe drinking water and shelter, and is used as a minimum standard below which no one should fall regardless of where they live. It is measured in relation to the 'poverty line' or the lowest amount of money needed to sustain human life. Relative poverty is "the inability to afford the goods, services, and activities needed to fully participate in a given society." Relative poverty still results in bad health outcomes because of the diminished agency of the impoverished. Certain personal, household factors, such as living conditions, are more or less unstable in the lives of the impoverished and represent the determining factors for health amongst the poverty gradient. According to Mosley, these factors prove challenging to individuals in poverty and are responsible for health deficits amongst the general impoverished population. Having sufficient access to a minimum amount of food that is nutritious and sanitary plays an important part in building health and reducing disease transmission. Access to sufficient amounts of quality water for drinking, bathing, and food preparation determines health and exposure to disease. Clothing that provides appropriate climatic protection and resources to wash clothes and bedding appropriately to prevent irritation, rashes, and parasitic life are also important to health.  Housing, including size, quality, ventilation, crowding, sanitation, and separation, prove paramount in determining health and spread of disease. Availability of fuel for adequate sterilizing of eating utensils and food and the preservation of food proves necessary to promote health. Transportation, which provides access to medical care, shopping, and employment, proves absolutely essential. Hygienic and preventative care, including soap and insecticides, and vitamins and contraceptives, are necessary for maintaining health. Differential access to these life essentials depending on ability to afford with a given income results in differential health.

Gender

Gender can determine health inequity in general health and particular diseases, and is especially magnified in poverty. Socioeconomic inequality is often cited as the fundamental cause for differential health outcomes among men and women. According to the World Health Organization, the health gap between the impoverished and other populations will only be closed if the lives of women are improved and gender inequalities are solved. Therefore, the WHO sees gender empowerment as key in achieving fair distribution of health. The rate at which girls and women die relative to men is higher in low- and middle-income countries than in high-income countries. "Globally, girls missing at birth and deaths from excess female mortality after birth add up to 6 million women a year, 3.9 million below the age of 60. Of the 6 million, one-fifth is never born, one-tenth dies in early childhood, one- fifth in the reproductive years, and two-fifths at older ages. Excess female deaths have persisted and even increased in countries immensely affected by the HIV/AIDS epidemic, like South Africa. In South Africa, excess female mortality between 10 and 50 years of age rose from close to zero to 74,000 deaths per year in 2008. In impoverished populations, there are pronounced differences in the types of illnesses and injuries men and women contract. According to Ward, poor women have more heart disease, diabetes, cancer, and infant mortality. Poor women also have significant comorbidity, or existence of two ailments, such as psychiatric disorders with psychoactive substance use. They are also at greater risk for contracting endemic conditions like tuberculosis, diabetes, and heart disease. Women of low socioeconomic status in urban areas are more liable to contract sexually transmitted diseases and have unplanned pregnancies. Global studies demonstrate that risk for contracting cervical cancer, exclusive to women, increases as socioeconomic status decreases.

Household causes

Health of poor women is impacted by gender inequalities through discriminating distribution of household goods, domestic violence, lack of agency, and unfair distribution of work, leisure, and opportunities between each gender. The way in which resources such as income, nourishment, and emotional support are traded in the household influences women's psychosocial health, nutrition, wellness, access to healthcare services, and threat of violence. The exchange of these elements in a home mediates in the impacts of geographical, cultural, and household patterns that result in inequality in health status and outcomes. Health-related behaviors, access and use of healthcare, stress, and psychosocial resources like social ties, coping, and spirituality all serve as factors that mediate health inequality. Household discrimination causes missing girls at birth, and the persistence of discrimination and poor service delivery perpetuates high female mortality.

Societal causes

Socioeconomic status has long been related to health, those higher in the social hierarchy typically enjoy better health than do those below.

With respect to socioeconomic factors, poor institutions of public health and services can cause worse health in women. According to Moss, components of the geopolitical system that spawn gender and economic inequality, such as history of a nation, geography, policy, services, legal rights, organizations, institutions, and social structures, are all determinants of women's health in poverty. These structures, like socieo-demographic status and culture, norms and sanctions, shape women's productive role in the workplace and reproductive role in the household, which determines health. Women's social capital, gender roles, psychological stress, social resources, healthcare, and behavior form the social, economic, and cultural effects on health outcomes. Also, women facing financial difficulty are more likely to report chronic conditions of health, which occurs often in the lives of the impoverished. Socioeconomic inequality is often cited as the fundamental cause for differential health outcomes among men and women. Differences in socioeconomic status and resulting financial disempowerment for women explain the poorer health and lower healthcare utilization noted among older women compared to men in India, according to a study. According to another study, psycho-social factors also contribute to differences in reported health. First, women might report higher levels of health problems as a result of differential exposure or reduced access to material and social factors that foster health and well-being (Arber & Cooper, 1999). Second, women might report higher health problems because of differential vulnerability to material, behavioral, and psychosocial factors that foster health.

Prenatal and maternal health

Prenatal care also plays a role in the health of women and their children, with excess infant mortality in impoverished populations and nations representing these differentials in health. According to Ward, poverty is the strongest predictor of insufficient prenatal care, which is caused by three factors that reduce access. These include socieodemographic factors (such as age, ethnicity, marital status, and education), systematic barriers, and barriers based on lack of knowledge, attitudes and life-styles. Several studies show the complex associations between poverty and education, employment, teen births, and the health of the mother and child. In 1985, The World Health Organization estimated that maternal mortality rates were 150 times higher in developing countries than developed nations. Furthermore, increased rates of postpartum depression were found in mothers belonging to low socioeconomic status.

Differential health for men

There also exist differentials in health with respect to men. In many post-transition countries, like the Russian Federation, excess female mortality is not a problem, but rather there has been an increase in mortality risks for men. Evidence suggests that excess male mortality correlates with behavior considered socially acceptable among men, including smoking, binge drinking, and risky activities. According to Moss, "Women are more likely to experience role strain and overload that occur when familial responsibilities are combined with occupation-related stress."

Age

Social determinants can have differential effects on health outcomes based on age group.

Youth health

Adolescent health has been proven to be influenced by both structural and proximal determinants, but structural determinants play the more significant role. Structural determinants such as national wealth, income inequality, and access to education have been found to affect adolescent health. Additionally, proximal determinants such as school and household environments are influenced by stratification created by structural determinants, can also affect adolescent health. Access to education was determined to be the most influential structural determinant affecting adolescent health.Proximal determinants include household and community factors, such as household environment, familial relationships, peer relationships, access to adequate food, and opportunities for recreation and activity. The most influential proximal determinant has proven to be family affluence. Family affluence directly affects food security, which correlates with adolescent nutrition and health. Family affluence also influences participation in regular physical activity. While nutrition and physical activity promote physical well-being, both promote psychological health as well. Thus family affluence is correlated with reduced psychological stress during adolescence. Family affluence also affects access to healthcare services; however, in countries with universal healthcare systems, youth belonging to less-affluent households still display poorer health than adolescents from wealthier families. One study (that followed individuals from childhood to adulthood) showed that housing environment impacted mortality, with the main cause of death being the presence of pollutants in the house. Higher rates of chronic diseases such as obesity and diabetes, as well as cigarette smoking were found in adolescents aged 10–21 belonging to low socioeconomic status.

Infant health

Poverty during pregnancy has been reported to cause a wide range of disparities in newborns. Low maternal socioeconomic status has been correlated with low infant birth weight and preterm delivery, physical complications such as ectopic pregnancy, poorer infant physical condition, compromised immune system and increased susceptibility to illness, and prenatal infant death. Sixty percent of children born into poor families have at least one chronic disease. Infant mental complications include delayed cognitive development, poor academic performance, and behavioral problems. Poor women display greater rates of smoking, alcohol consumption, and engagement in risky behaviors. Such risk factors function as stressors that, in combination with social factors such as crowded and unhygienic living environments, financial difficulties, and unemployment, affect fetus health.

Ethnicity

Ethnicity can play an especially large part in determining health outcomes for impoverished minorities. Poverty can overpower race, but within poverty, race highly contributes to health outcomes. African Americans, even in some of the wealthiest cities in the United States, have lower life expectancy at birth than people in much poorer countries like China or India. In the United States, specifically for African American women, as of 2013 for every 100,000 births 43.5 black women would not survive compared to the 12.7 of white women According to studies, black individuals in South Africa suffer worse morbidity and mortality rates due to the limited access to social resources. Poverty is the chief cause of the endemic amounts of disease and hunger and malnutrition among this population. A disproportionate number of cases of the AIDS epidemic in North America are from American minorities, with 72% of women's AIDS cases among Hispanic or African-American women. Among those American minorities, African Americans comprise 12% of the American population yet, made up 45% of new HIV diagnoses. Blacks in American account for the highest proportion of those living with HIV and AIDS in America.

Farmer says the growing mortality differentials between whites and blacks must be attributed to class differentials- which includes recognizing race within impoverished populations. Recognition of race as a determining factor for poor health without recognizing poverty has misled individuals to believe race is the only factor. A 2001 study showed that even with health care insurance, many African Americans and Hispanics lacked a health care provider; the numbers doubled for those without insurance (uninsured: White 12.9%, Black 21.0%, Hispanics 34.3%). With both race and insurance status as obstacles, their health care access and their health suffered.

Health differentials amongst races can also serve as determining factors for other facets of life, including income and marital status. AIDS-affected Hispanic women hold smaller salaries than average women, are part of poorer families, and are more likely to head households. According to one study, black teenage women living in dysfunctional homes were more likely to have serious health issues for themselves or children.

Education

Education plays an especially influential part in the lives of the impoverished. According to Mirowsky and Ross, education determines other factors of livelihood like occupation and income that determines income, which determines health outcomes. Education is a major social determinant of health, with educational attainment related to improved health outcomes, due to its effect on income, employment, and living conditions. Social resources, such as education, determine life expectancy and infant mortality, which measures health. Education has a lasting, continuous, and increasing effect on health. Education is a special determinant of health because it enables people toward self-direction, which leads them to seek goals such as health. Education helps the impoverished develop usable skills, abilities, and resources that help individuals reach goals, including bettering health. Parent's educational level is also important to health, which influences the health of children and the future population. Parent's education level also determines child health, survival, and their educational attainment (Caldwell, 1986; Cleland & Van Ginneken, 1988). "Children born to more educated mothers are less likely to die in infancy and more likely to have higher birth weights and be immunized. Studies in the United States suggest maternal education results in higher parity, greater use of prenatal care, and lower smoking rates, which positively affects child health. An increase in child schooling in Taiwan during the educational reform of 1968 reduced the infant morality rate by 11%, saving 1 infant per 1000 births.

"Fig. 2.1 shows variation between countries in infant mortality from just over 20/1000 live births in Colombia to just over 120 in Mozambique. It also shows inequities within countries – an infant's chances of survival are closely related to her mother's education. In Bolivia, babies born to women with no education have infant mortality greater than 100 per 1000 live births; the infant mortality rate of babies born to mothers with at least secondary education is under 40/1000.All countries included in Fig. 2.1 show the survival disadvantage of children born to women with no education."

Political education and Engagement

Mortality inequalities are produced and reproduced by policies that promotes structural violence for those who are already vulnerable to poverty, while reinforcing the paradigm and the ontological order of power hierarchy. Hence, the political engagement of an individual and their communities play an important factor in determining their access to health care. The Commission on the Social Determinants of Health discusses that explicit commitment to action through multidisciplinary public policies are required for better access to healthcare. One of the recommended action is to expand knowledge and empower the participation of broad segment of society. A manifestation of such action is the mobilization of the population that has been historically oppressed and to raise question about the systemic issues affecting their life. According to WHO, civic participation does not just better physical health, but also mental health status, and overall life quality. History exhibits that when the masses become politically aware of the problems around them, they are more empowered to find their own voice and revolt against systemic inequalities to take control of their lives and improve healthcare accessibility and affordability. On the contrary, nations that do not empower its citizens to be politically educated have way worse health outcomes than nations whose citizens are politically engaged. For instance, there has been a surge in mortality differentials and unwavering decline in health benefits coverage, especially among for the population living under poverty line. As stated in Global Health Promotion, over the last 10 years there has been a steady loss of health coverage for 1 million people every year. Losing health coverage means that an individual could no longer seek affordable treatment or access healthcare, so their health quality would eventually deteriorate. However, if the citizens were to raise their concerns collective to the government, they would have been able to address this systemic factor and subsequently improve their health outcomes.

Occupation

Impoverished workers are more likely to hold part-time jobs, move in and out of work, be migrant workers, or experience stress associated with being unemployed and searching unsuccessfully for unemployment, which all in turn affects health outcomes. According to the World Health Organization, employment and working conditions greatly affect health equity (Kivimaki et al., 2003). This occurs because poor employment conditions exposes individuals to health hazards, which are more likely for low-status jobs. Evidence confirms that high job demand, low control, and low rewards for effort in these low status jobs are risk factors for mental and physical health problems, such as a 50% excess risk of heart disease (Stansfeld & Candy, 2006). The growing power of massive, conglomerate global corporations and institutions to set labor policy and standards agendas has disempowered workers, unions, and the job-seeking by subjecting these individuals to health-damaging working conditions. (EMCONET, 2007). In high- income countries, there has been a growth in job insecurity and precarious employment arrangements (such as informal work, temporary work, part-time work, and piecework), job losses, and a weakening of regulatory protections. Informal work can threaten health through its precarious job instability, lack of regulation to protect working conditions and occupational health and safety. Evidence from the WHO suggests mortality is greater among temporary workers than permanent workers. (Kivimaki et al., 2003). Since most of the global workforce operates under the informal economy, particularly low- and middle-income countries, impoverished populations are greatly affected by these factors.

Socioeconomic and political context

Location

Nation-state/geographical region

Which particular nation an impoverished person lives in deeply affects health outcomes. This can be attributed to governmental, environmental, geographical, and cultural factors. Using life expectancy as a measure of health indicates a difference between countries in likeliness of living to a certain age. Where people are born dramatically impacts their life chances. High-income countries like Japan or Sweden have a life expectancy of 80 years, Brazil-72, India-63. The WHO cites that for rich countries, only 56 (Iceland) to 107 (US) of 1000 adults between 15 and 60 years old will die each year, while Western and Central African countries have adult mortality rates exceeding 300 and 400 of every 1000. The rates are even higher in African nations suffering the AIDS epidemic, such as Zimbabwe where 772 of 1000 adults die each year (WHO 2010). Also, the type of health affliction varies by countries for populations in poverty. Over 80% of cardiovascular disease deaths, that totaled 17.5 million people globally in 2005, occur in low- and middle-income countries. According to the WHO,13500 people die from smoking every day, and soon it will become the leading cause of death in developing countries, just as in high income countries. (Mathers & Loncar, 2005).

Infant and maternal mortality also reveals disparity in health between nations. There exist great inequalities in infant death rates within and between countries, ranging from 20/10000 births in Columbia to 120/10000 in Mozambique. In 1985, The World Health Organization estimated that maternal mortality rates were 150 times higher in developing countries than developed nations.

Urban or rural location

Urban
The location where people live affects their health and life outcomes, which means impoverished people's health outcomes are especially determined by whether they live in a metropolitan area or rural area. In the 19th and 20th century, slums developed in cities and the ensuing crowding, poor sanitation, and inadequate dwellings brought infectious disease and illnesses, causing public health concerns. With the prevalence of inner city ghettos and slums around the globe in cities, with approximately 1 billion people living in slums globally, living situation is an especially strong determinant of health in poverty. Urban areas present health risks through poor living conditions, limited food resources, traffic accidents, and pollution. Urbanization is immensely altering public health problems, particularly for the poor, by directing it towards non-communicable diseases, accidental and violent injuries, and death and health impacts from ecological disaster. (Capbell &Campbell, 2007; Yusuf et al., 2001). Daily living conditions enormously impact health equity too. Equity in living conditions, such as access to quality housing and clean water and hygiene, have been greatly degraded in urban areas by increasing car dependence, land use for roads, inconvenience of non-car transportation, air quality, greenhouse gas emissions, and lack of physical activity (NHF, 2007). The challenges of urban areas, such as high population density, crowding, unsuitable living conditions, and little social support, provide a special challenge to the disabled and populations in low and middle income countries(Frumkin et al., 2004).
  • Obesity: Obesity is a paramount problem, especially among the poor and socially disadvantaged, in cities worldwide, according to the WHO (Hawkes et al., 2007; Friel, Chopra & Satcher, 2007). The increased amount of obesity can be contributed to the nutrition transition that describes how people are now increasingly turning to high-fat, sugar, and salt food sources because of their availability and price. This food transition has fueled the obesity epidemic. This nutrition transition tends to start in cities because of "greater availability, accessibility, and acceptability of bulk purchases, convenience foods, and 'supersized' portions" (Dixon et al., 2007). Physical activity and exercise is strongly determined by the design of cities, including density of homes, heterogeneous land uses, the extent to which streets and sidewalks connect, the walkability, and the provision of and access to local public accommodations and parks for recreation and play. These factors, along with increasing reliance on cars, results in the shift of the population toward physical inactivity, which damages health (Friel, Chopra & Satcher, 2007).
  • Crime: Violence and crime are major urban health challenges. Worldwide, 90% of the 1.6 million annual violent deaths occur in low and middle income counties(WHO, 2002). A large number of deaths and injuries occur because of crime, which affects health.
  • Traffic: Individuals in ghettos and urban areas are the most affected by traffic injuries and vehicle-created air pollution, which causes 800,000 annual deaths due to air pollution, and 1.2 million from traffic accidents. (Roberts & Meddings, 2007; Prüss- Üstün & Corvalán, 2006). This results in greater health risks, like death, for impoverished populations in cities.
  • Mental illness: Living in a ghetto increases the likelihood of developing a mental illness, especially in children. People in this environment are less likely to receive effective mental health services. Children exposed to ongoing poverty, present in a ghetto, present a high level of depression, anxiety, social withdrawal, peer conflict and aggression. Mental health symptoms are increased in the ghetto due to exposure to community crime, gang induced violence, neighborhood drug infestations, and substandard housing conditions.
  • Other: In the United States, HIV is more prevalent in cities along the east coast, with prevalence among African-American women in cities 5 to 15 times higher than for women in all areas of that state. "Inner-city women are the most likely of all in the United States to birth dead or extremely sick babies, partially because the massive erosion of prenatal care availability in their area. Slums, made up exclusively of extremely poor populations, provide a particularly strong threat for poor health. Child mortality in the slums of Nairobi, which 60% of the population inhabits, is 2.5 times greater than in other areas of the city. In the slums of Manila, 39% of children have TB, which is twice the national average. The term ‘housing instability’ describes a condition in which people have been or will be homeless in the future. People facing such instability have poorer health care access and more acute health problems than the rest of the population. A city populations grew and rents rose, those receiving Section 9 housing vouchers could no longer afford the rising rents and were forced to move away.
Rural
Living in a rural community, whether in the United States, or around the globe, reduces access to medical services, health insurance, and changes health culture. Differentials exist between rural and urban communities, and some health disadvantages exist for impoverished rural residents. Since health of a population increases in geographical locations that have a higher prevalence of primary care physicians, rural areas face worse health. According to certain studies, measures of health and well-being indicate that rural populations have worse health outcomes. Rural residents have a greater rate of premature mortality (less than age 75 at death) than urban residents. According to certain studies in the United States, the death rate of individuals age 1–24 years was 31% higher than those in urban counties. The death rate of adults 25 to 64 years old was 32% higher among rural residents than those of suburban counties and of urban counties. These higher death rates were contributed to unintentional injuries, suicide, and chronic obstructive pulmonary disease. In 1997 in the United States, 18% of adults in rural areas had chronic health conditions, compared to only 13% of suburban adults. The National Health Interview Survey indicated that in 1998, 16% of rural adults reported poor health. Poor rural residents have only 21% Medicaid coverage, while poor urban populations report 30% coverage. Demographic and socioeconomic factors vary between rural and urban areas, which contributes to some health disparities. For extremely poor rural communities, variables in the community, like ecological setting, including climate, soil, rainfall, temperature, altitude, and seasonality greatly impact health. "In rural subsistence societies, these variables can have strong influence on child survival by affecting the quantity and variety of food crops produced, the availability and quality of water, vector-borne disease transmission"

Governance/policy

Type and structure of governments and their social and economic policy more deeply affects the health of the impoverished than other populations. Every component of government- from finance, education, housing, employment, transportation, and health policy- affects population health and health equity. Life expectancy variation between countries can be partially attributed to the type of political regime, whether that be fascist, communist, conservative, or social-democratic. However, changing the status of government regime does not always end the type of policies in place, as seen in South Africa. The end of South Africa's apartheid regime has still not dismantled the structures of inequality and oppression, which has led the persistent social inequality to perpetuate the spread of HIV, diminishing population health. Also, the political economy, encompassing production organization, physical infrastructure, and political institutions play a large role in determining health inequalities.

Social service and healthcare availability

health care source

Impoverished people depend on healthcare and other social services to be provided in the social safety net, therefore availability greatly determines health outcomes. Since low living standards greatly influence health inequity, generous social protection systems result in greater population health, with lower mortality rates, especially in disadvantaged populations. A successful example of such social service program is the Senior Companion program, an extension of the United States federal program Senior Corps. The program provides assistance for adults who have physical and mental disadvantages. It pairs up senior volunteers with patients who come from low-income background to help them increase their social capability, ability to live independently and more accessibility to healthcare. A mixed-method study explores that the program does target various social determinants of health and have positive effects on enrolled elders' health status (although less positive correlation long-term). It concludes that the program does have enthusiastic impacts on clients and volunteers' overall wellness. The result is homogeneous with conclusions from other studies, with emerging themes include: companionship, reduced depression, access to healthcare, isolation, and increased social network.

Nations that have more generous social protection systems have better population health (Lundberg et al., 2007). More generous family policies correlate with lower infant mortality. Nations that offered higher coverage and reimbursement for pensions and sickness, unemployment, and employment accident insurance have a higher LEB (Lundberg et al., 2007), as well as countries with more liberal pensions have less senior mortality. (Lundberg et al., 2007)

Healthcare

The health care system represents a social determinant of health as well as it influences other determining factors. People's access to health care, their experiences there, and the benefits they gain are closely related to other social determinants of health like income, gender, education, ethnicity, occupation, and more. For poor people, systematic barriers in the social structure are formidable, especially financing. Medicaid and maternity coverage structures have complex and time-consuming registration processes, along with long waits and unsure eligibility. A study of the Emergency Department found that the majority of patients presenting with mental illness were those on Medical (20.4%) and Medicare (31.5%), whereas only 12.4% of privately insured patients presented with mental illness. California has expanded its eligibility of Medi-Cal under federal law to cover as many people as possible. Inequalities in health are also determined by these socioeconomic and cultural factors. Health care is inequitably distributed globally, with pronounced inequality for the poor in low- and middle-income countries. One study demonstrated that doctors treat poor populations differently, showing that disadvantaged patients are less likely to receive the recommended diabetic treatments and are more likely to undergo hospitalization due to the complications of diabetes (Agency for Health Care Research and Quality, 2003). According to the WHO, healthcare systems can most improve health equality when institutions are organized to provide universal coverage, where everyone receives the same quality healthcare regardless of ability to pay, as well as a Primary Healthcare system rather than emergency center assistance.

These structural problems result in worse healthcare and therefore worse health outcomes for impoverished populations. Health care costs can pose absolutely serious threats to impoverished populations, especially in countries without proper social provisions. According to US HHS, "In 2009, children 6–17 years of age were more likely to be uninsured than younger children, and children with a family income below 200% of the poverty level were more likely to be uninsured than children in higher-income families." In elderly populations, individuals below 400% of the poverty line were between 3 and 5 times more likely to lack insurance. Children below 200% of the poverty line were also less likely to have insurance than wealthier families. Also, in 2009 in the US, 20% of adults (ages 18–64) below 200% of the poverty line did not receive their necessary drugs because of cost, compared to only 4% of those above 400% of the poverty line. Increasing healthcare costs (including higher premiums) imposed a burden on consumers. In 2010, President Obama introduced the Patient Protection and Affordable Care Act (ACA), expanding health care to many that lacked coverage. The U.S. had the highest rate of uninsured people, and the highest health care costs, of all industrialized nations at the time. The ACA helped 20 million Americans get coverage and decreased the rates of uninsured from 16% in 2010 to 8.6% in 2016. The ACA brought coverage to people who had suffered from downgrades in Employee Insurance programs, by providing a health insurance marketplace, giving them access to private insurance plans along with income-based government subsidies. This can be seen in other nations, where in Asia, payments for healthcare pushed almost 3% of the population of 11 countries below 1 US$ per day.

Societal psychological influences

In impoverished communities, different social norms and stressors exist than in other populations, which can greatly affect health outcomes in disadvantaged populations. According to the National Institutes of Health, "low socioeconomic status may result in poor physical and/or mental health ... through various psychosocial mechanisms such as poor or 'risky' health-related behaviors, social exclusion, prolonged and/ or heightened stress, loss of sense of control, and low self-esteem as well as through differential access to proper nutrition and to health and social services (National Institutes of Health 1998)." These stressors can cause physiological alterations including increased cortisol, changed blood-pressure, and reduced immunity which increases their risks for poor health.

Structural violence

Underlying social structures that propagate and perpetuate poverty and suffering- structural violence- majorly determine health outcomes of impoverished populations. Poor and unequal living conditions result from deeper structural conditions, including "poor social policies and programs, unfair economic arrangements, and bad politics," that determine the way societies are organized. The structure of the global system causes inequality and systematic suffering of higher death rates, which is caused by inequity in distribution of opportunities and resources, which is termed structural violence.

Definition

Structural violence is a term devised by Johan Galtung and liberation theologians during the 1960s to describe economic, political, legal, religious, and cultural social structures that harm and inhibit individuals, groups, and societies from reaching their full potential. Structural violence is structural because the causes of misery are "embedded in the political and economic organization of our social world; they are violent because they cause injury to people." Structural violence is different from personal or behavioral violence because it exclusively refers to preventable harm done to people by no one clear individual, but arises from unequal distribution of power and resources, pre-built into social structure. Structural violence broadly includes all kinds of violations of human dignity: absolute and relative poverty, social inequalities like gender inequality and racism, and outright displays of human rights violations. The idea of structural violence is as old as the study of conflict and violence, and so it can also be understood as related to social injustice and oppression.

Effects

Structural violence is often embedded in longstanding social structures, ubiquitous throughout the globe, that are regularized by persistent institutions and regular experience with them. These social structures seem so normal in our understanding of the world that they are almost invisible, but inequality in resource access, political power, education, healthcare, and legal standing are all possible perpetrators of structural violence. Non citizens do not have access to medical insurance and healthcare and must seek care in clinics and outpatient departments. Structural violence occurs "whenever persons are harmed, maimed, or killed by poverty and unjust social, political, and economic institutions, systems, or structures" Structural violence can contribute to worse health outcomes through either harming or killing victims, just like armed violence can have these effects. This type of unintended harm perpetuated by structural violence progressively promotes misery and hunger that eventually results in death, among other effects. Ehrlich and Ehrlich reported in 1970 that between 10 and 20 million of the 60 million annual deaths across the globe result from starvation and malnutrition. Their report also estimated that structural violence was responsible for the end of one billion lives between 1948 and 1967 in the third world.

Structural violence connection to health

Inequality in daily living conditions stem from unseen social structures and practices. This systematic inequality is produced by social norms, policies, and practices that promote the unfair distribution of power, wealth, and other social resources, such as healthcare. "The poor health of the poor, the social gradient in health within countries, and the marked health inequities between countries are caused by the unequal distribution of power, income, goods, and services, globally and nationally." First, structural violence is often a major determinant of the distribution and outcome of disease. It has been known for decades that epidemic disease is caused by structural forces. Structural violence can affect disease progression, such as in HIV, where harmful social structures profoundly affect diagnosis, staging, and treatment of HIV and associated illnesses. The determinants of disease and their outcome are set by the social factors, usually rampant with structural violence, that determine risk to be infected with the disease. Understanding how structural violence is embodied at the community, individual, and microbial levels is vital to understanding the dynamics of disease. The consequences of structural violence is post pronounced in the world's poorest countries and greatly affects the provision of clinical services in these countries. Elements of structural violence such as "social upheaval, poverty, and gender inequality decrease the effectiveness of distal services and of prevention efforts" presents barriers to medical care in countries like Rwanda and Haiti Due to structural violence, there exists a growing outcome gap where some countries have access to interventions and treatment, and countries in poverty who are neglected. With the power of improved distal interventions, the only way to close this outcome gap between countries who do and do not have access to effective treatment, lies on proximal interventions to reduce the factors contributing to health problems that arise from structural violence.

Race and health

From Wikipedia, the free encyclopedia

Race and health refers to how being identified with a specific race influences health. Race is a complex concept that changes across time and space and that depends on both self-identification and social recognition. In the study of race and health, scientists organize people in racial categories depending on different factors such as: phenotype, ancestry, social identity, genetic makeup and lived experience. “Race” and ethnicity often remain undifferentiated in health research.

Differences in health status, health outcomes, life expectancy, and many other indicators of health in different racial and ethnic groups are well documented. Some individuals in certain racial groups receive less care, have less access to resources, and live shorter lives in general. Epidemiological data indicates that racial groups are unequally affected by diseases, in terms or morbidity and mortality. These health differences between racial groups create racial health disparities.

Health disparities are defined as “preventable differences in the burden of disease, injury, violence, or opportunities to achieve optimal health that are experienced by socially disadvantaged populations”. Health disparities are intrinsically related to the “historical and current unequal distribution of social, political, economic and environmental resources".

Social, political, economic, environmental, cultural and biological factors constitute determinants of health. The relation between race and health has been studied from a multidisciplinary perspective, paying attention to how racism influence health disparities and how environmental factors and physiological factors respond to each other and to genetics.

Racial health disparities

Health disparities refer to gaps in the quality of health and health care across racial and ethnic groups. The US Health Resources and Services Administration defines health disparities as "population-specific differences in the presence of disease, health outcomes, or access to health care". Health is measured through variables such as life expectancy and incidence of diseases.

How researchers view race is often linked to how we address racial disparities because the national administrator of health uses these research findings to implement policies.

Difference between health inequity and health disparities

Although Individuals from different environmental, continental, socioeconomic, and racial groups etc. have different levels of health, yet not all of these differences are always categorized or defined as health disparities. Some researchers separate definitions of  health inequality from health disparity by preventability. Health inequalities are often categorized as being unavoidable i.e due to age, while preventable unfair health outcomes are categorized as health inequities. These are seen as preventable because they are usually associated with income, education, race, ethnicity, gender, and more.

Defining race

Definitions of race are ambiguous due to the various paradigms used to discuss race. These definitions are a direct result of biological and social views. Definitions have changed throughout history to yield a modern understanding of race that is complex and fluid. Moreover, there is no one definition that stands, as there are many competing and interlocking ways to look at race. Due to its ambiguity, terms such as race, genetic population, ethnicity, geographic population, and ancestry are used interchangeably in everyday discourse involving race. Some researchers critique this interchangeability noting that the conceptual differences between race and ethnicity are not widely agreed upon.

Biological definitions of race encompass essentialist and anti-essentialist views. The scientific community does not universally accept a single definition of race. Essentialism is a mode of thought that uses scientific data to argue that racial groups are genetically distinct populations. Essentialists describe "races as groups of people who share certain innate, inherited biological traits, a.k.a. use of biological evidence to demonstrate racial differences". As its counterpart, anti-essentialism uses biological evidence to demonstrate that "race groupings do not reflect patterns of human biological variation, countering essentialist claims to the contrary". It should be noted that despite Essentialism and anti-Essentialism views, modern scientific evidence suggests there are more genetic differences within individuals belonging to the same racial groups, than between individuals belonging to different racial groups.

In the last 20 years there has been major criticisms on the once widely held view that race is biological. In response to these criticisms, researchers and social scientists have begun examining notions of race as constructed. Racial groups are "constructed" from differing historical, political, and economic contexts, rather than corresponding to inherited, biological variations. Proponents of the constructionist view claim that biological definitions have been used to justify racism in the past and still have the potential to be used to encourage racist thinking in the future. Since race is changing and often so loosely characterized on arbitrary phenotypes, and because it has no genetic basis, the only working definition we can assign it is a social construct. This is not to say race is imaginary or non-existent, it is very real and plays a role in our society; however to say that the concept of race has any scientific merit or has a scientific foundation can lead to many issues in scientific research, and it may also lead to inherent racial bias.

Social views also better explain the ambiguity of racial definitions. An individual may self-identify as one race based on one set of determinants (for example, phenotype, culture, ancestry) while society may ascribe the person otherwise based on external forces and discrete racial standards. Dominant racial conceptions influence how individuals label both themselves and others within society. Modern human populations are becoming more difficult to define within traditional racial boundaries due to racial admixture. Most scientific studies, applications, and government documents ask individuals to self-identify race from a limited assortment of common racial categories. The conflict between self-identification and societal ascription further complicates biomedical research and public health policies. However complex its sociological roots, race has real biological ramifications; the intersection of race, science, and society permeates everyday life and influences human health via genetics, access to medical care, diagnosis, and treatment.

Race and disease

Diseases affect racial groups differently, especially when they are co-related with class disparities. As socioeconomic factors influence the access to care, the barriers to access healthcare systems can perpetuate different biological effects of diseases among racial groups that are not pre-determined by biology. 

Some researchers advocate for the use of self-reported race as a way to trace socioeconomic disparities and its effects in health. For instance, a study conducted by the National Health Service checks program in the United Kingdom, which aims to increase diagnosis across demographics, noted that "the reported lower screening in specific black and minority ethnic communities... may increase inequalities in health." In this specific case, the lack of attention to certain demographics can be seen as a cause of increased instances of disease from this lack of proper, equal preventative care. One must consider these external factors when evaluating statistics on the prevalence of disease in populations, even though genetic components can play a role in predispositions to contracting some illnesses. 

Individuals who share a similar genetic makeup can also share certain propensity or resistance to specific diseases. However, there are confronted positions in relation to the utility of using 'races' to talk about populations sharing a similar genetic makeup. Some geneticists argued that human variation is geographically structured and that genetic differences correlate with general conceptualizations of racial groups. Others claimed that this correlation is too unstable and that the genetic differences are minimal and they are "distributed over the world in a discordant manner”. Therefore, race is regarded by some as a useful tool for the assessment of genetic epidemiological risk, while others consider it can lead to an increased underdiagnosis in 'low risk' populations.

Single-gene disorders

There are many single gene genetic disorders that differ in frequency between different populations due to the region and ancestry. While some assume this diseases to be solely based on race, other authors point out that race is not a useful markers as self-reported ancestry and racial identity or classification does not determine the genome of individuals. Some examples of single-gene disorders include:
  • Cystic fibrosis, the most common life-limiting autosomal recessive disease among people of Northern European heritage
  • Sickle-cell anemia, most prevalent in populations with sub-Saharan African ancestry but also common among Latin-American, Middle Eastern populations, as well as those people of South European regions such as Turkey, Greece, and Italy
  • Thalassemia, most prevalent in populations having Mediterranean ancestry, to the point that the disease's name is derived from Greek thalasson, "sea"
  • Tay–Sachs disease, an autosomal recessive disorder more frequent among Ashkenazi Jews than among other Jewish groups and non-Jewish populations
  • Hereditary hemochromatosis, most common among persons having Northern European ancestry, in particular those people of Celtic descent
  • Lactose intolerance affects (over their lifetime) as many as 25% of Europeans but up to 50-80% of Hispanics, along with Ashkenazi Jews, but nearly 100% of Native Americans.

Multifactorial polygenic diseases

Many diseases differ in frequency between different populations. However, complex diseases are affected by multiple factors, both genetic and environmental. There is controversy over the extent to which some of these conditions are influenced by genes, and ongoing research aims to identify which genetic loci, if any, are linked to these diseases. "Risk is the probability that an event will occur. In epidemiology, it is most often used to express the probability that a particular outcome will occur following a particular exposure." Different populations are considered "high-risk" or "low-risk" groups for various diseases due to the probability of that particular population being more exposed to certain risk factors. Beyond genetic factors, history and culture, as well as current environmental and social conditions, influence a certain populations' risk for specific diseases.

Disease progression

Racial groups may differ in how a disease progresses. Different access to healthcare services, different living and working conditions influence how a disease progresses within racial groups. However, the reasons for these differences are multiple, and should not be understood a consequence of genetic differences between races, but rather as effects of social and environmental factors affecting.

Prevention

Genetics have been proven to be a strong predictor for common diseases such as cancer, cardiovascular disease (CVD), diabetes, autoimmune disorders, and psychiatric illnesses. Some geneticists have determined that "human genetic variation is geographically structured" and that different geographic regions correlate with different races. Meanwhile, others have claimed that the human genome is characterized by clinal changes across the globe, in relation with the "Out of Africa" theory and how migration to new environments cause changes in populations' genetics over time. 

Some diseases are more prevalent in some populations identified as races due to their common ancestry. Thus, people of African and Mediterranean descent are found to be more susceptible to sickle-cell disease while cystic fibrosis and hemochromatosis are more common among European populations. Some physicians claim that race can be used as a proxy for the risk that the patient may be exposed to in relation to these diseases. However, racial self-identification only provides fragmentary information about the persons ancestry. Thus, racial profiling in medical services would also lead to the risk of underdiagnosis. 

While genetics certainly play a role in determining how susceptible a person is to specific diseases, environmental, structural and cultural factors play a large role as well. For this reason, it is impossible to discern exactly what causes a person to acquire a disease, but it is important to observe how all these factors relate to each other. Each person's health is unique, as they have different genetic compositions and life histories.

Race-based treatment

Racial groups, especially when defined as minorities or ethnic groups, often face structural, cultural and linguistic barriers to access healthcare services. The development of culturally and structurally competent services and research that meet the specific health care needs of racial groups is still in its infancy. In the United States, the Office of Minority Health The NIH (National institutes of health) and The WHO are organizations that provide useful links and support research that is targeted at the development of initiatives around minority communities and the health disparities they face. Similarly, In the United Kingdom, the National Health Service established a specialist collection on Ethnicity & Health. This resource was supported by the National Institute for Health and Clinical Excellence (NICE) as part of the UK NHS Evidence initiative NHS Evidence. Similarly, there are growing numbers of resource and research centers which are seeking to provide this service for other national settings, such as Multicultural Mental Health Australia. However, cultural competence has also been criticized for having the potential to create stereotypes. 

Scientific studies have shown the lack of efficacy of adapting pharmaceutical treatment to racial categories. "Race-based medicine" is the term for medicines that are targeted at specific racial clusters which are shown to have a propensity for a certain disorder. The first example of this in the U.S. was when BiDil, a medication for congestive heart failure, was licensed specifically for use in American patients that self-identify as black. Previous studies had shown that African American patients with congestive heart failure generally respond less effectively to traditional treatments than white patients with similar conditions.

After two trials, BiDil was licensed exclusively for use in African American patients. Critics have argued that this particular licensing was unwarranted, since the trials did not in fact show that the drug was more effective in African Americans than in other groups, but merely that it was more effective in African Americans than other similar drugs. It was also only tested in African American males, but not in any other racial groups or among women. This peculiar trial and licensing procedure has prompted suggestions that the licensing was in fact used as a race-based advertising scheme.

Critics are concerned that the trend of research on race-specific pharmaceutical treatments will result in inequitable access to pharmaceutical innovation and smaller minority groups may be ignored. This has led to a call for regulatory approaches to be put in place to ensure scientific validity of racial disparity in pharmacological treatment.

An alternative to "race-based medicine" is personalized or precision medicine. Precision medicine is a medical model that proposes the customization of healthcare, with medical decisions, treatments, practices, or products being tailored to the individual patient. It involves identifying genetic, genomic (i.e., genomic sequencing), and clinical information—as opposed to using race as a proxy for these data—to better predict a patient's predisposition to certain diseases.

Environmental factors

A positive correlation between minorities and a socio economic status of being low income in industrialized and rural regions of the U.S. depict how low income communities tend to include more individuals that have a lower educational background, most importantly in health. Income status, diet, and education all construct a higher burden for low income minorities, to be conscious about their health. Research conducted by medical departments at universities in San Diego, Miami, Pennsylvania, and North Carolina suggested that minorities in regions where lower socioeconomic status is common, there was a direct relationship with unhealthy diets and greater distance of supermarkets. Therefore, in areas where supermarkets are less accessible (food deserts) to impoverished areas, the more likely these groups are to purchase inexpensive fast food or just follow an unhealthy diet. As a result, because food deserts are more prevalent in low income communities, minorities that reside in these areas are more prone to obesity, which can lead to diseases such as chronic kidney disease, hypertension, or diabetes.

Furthermore, this can also occur when minorities living in rural areas undergoing urbanization, are introduced to fast food. A study done in Thailand focused on urbanized metropolitan areas, the students who participated in this study as were diagnosed as “non-obese” in their early life according to their BMI, however were increasingly at risk of developing Type 2 Diabetes, or obesity as adults, as opposed to young adults who lived in more rural areas during their early life. Therefore, early exposure to urbanized regions can encourage unhealthy eating due to widespread presence of inexpensive fast food. Different racial populations that originate from more rural areas and then immigrate to the urbanized metropolitan areas can develop a fixation for a more westernized diet; this change in lifestyle typically occurs due to loss of traditional values when adapting to a new environment. For example, a 2009 study named CYKIDS was based on children from Cyprus, a country east of the mediterranean sea, who were evaluated by the KIDMED index to test their adherence to a mediterranean diet after changing from rural residence to an urban residence. It was found that children in urban areas swapped their traditional dietary patterns for a diet favoring fast food.

Genetic factors

The fact that every human has a unique genetic code is the key to techniques such as genetic fingerprinting. Versions of a trait, known as alleles, occur at different frequencies in different human populations; populations that are more geographically and ancestrally remote tend to differ more. 

A phenotype is the "outward, physical manifestation" of an organism." For humans, phenotypic differences are most readily seen via skin color, eye color, hair color, or height; however, any observable structure, function, or behavior can be considered part of a phenotype. A genotype is the "internally coded, inheritable information" carried by all living organisms. The human genome is encoded in DNA.

For any trait of interest, observed differences among individuals "may be due to differences in the genes" coding for a trait or "the result of variation in environmental condition". This variability is due to gene-environment interactions that influence genetic expression patterns and trait heritability.

For humans, there is "more genetic variation among individual people than between larger racial groups". In general, an average of 80% of genetic variation exists within local populations, around 10% is between local populations within the same continent, and approximately 8% of variation occurs between large groups living on different continents. Studies have found evidence of genetic differences between populations, but the distribution of genetic variants within and among human populations is impossible to describe succinctly because of the difficulty of defining a "population", the clinal nature of variation, and heterogeneity across the genome. Thus, the racialization of science and medicine can lead to controversy when the term population and race are used interchangeably.

Evolutionary factors

Malaria-endemic countries eastern hemisphere
 
Malaria-endemic countries western hemisphere
 
Genes may be under strong selection in response to local diseases. For example, people who are duffy negative tend to have higher resistance to malaria. Most Africans are duffy negative and most non-Africans are duffy positive. A number of genetic diseases more prevalent in malaria-afflicted areas may provide some genetic resistance to malaria including sickle cell disease, thalassaemias, glucose-6-phosphate dehydrogenase, and possibly others. 

Many theories about the origin of the cystic fibrosis have suggested that it provides a heterozygote advantage by giving resistance to diseases earlier common in Europe. 

In earlier research, a common theory was the "common disease-common variant" model. It argues that for common illnesses, the genetic contribution comes from the additive or multiplicative effects of gene variants that each one is common in the population. Each such gene variant is argued to cause only a small risk of disease and no single variant is enough to cause the disease. An individual must have many of these common gene variants in order for the risk of disease to be substantial.

More recent research indicates that the "common disease-rare variant" may be a better explanation for many common diseases. In this model, rare but higher-risk gene variants cause common diseases. This model may be relevant for diseases that reduces fertility. In contrast, for common genes associated with common disease to persist they must either have little effect during the reproductive period of life (like Alzheimer's disease) or provide some advantage in the original environment (like genes causing autoimmune diseases also providing resistance against infections). In either case varying frequencies of genes variants in different populations may be an explanation for health disparities. Genetic variants associated with Alzheimer's disease, deep venous thrombosis, Crohn disease, and type 2 diabetes appear to adhere to "common disease-common variant" model.

Gene flow

Gene flow and admixture can also have an effect on relationships between race and race-linked disorders. Multiple sclerosis, for example, is typically associated with people of European descent, but due to admixture African Americans have elevated levels of the disorder relative to Africans.

Some diseases and physiological variables vary depending upon their admixture ratios. Examples include measures of insulin functioning and obesity.

Gene interactions

The same gene variant, or group of gene variants, may produce different effects in different populations depending on differences in the gene variants, or groups of gene variants, they interact with. One example is the rate of progression to AIDS and death in HIV–infected patients. In Caucasians and Hispanics, HHC haplotypes were associated with disease retardation, particularly a delayed progression to death, while for African Americans, possession of HHC haplotypes was associated with disease acceleration. In contrast, while the disease-retarding effects of the CCR2-641 allele were found in African Americans, they were not found in Caucasians.

Theoretical approaches in addressing health and race disparities

Public health researchers and policy makers are working to reduce health disparities. Health effects of racism are now a major area of research. In fact, these seem to be the primary research focus in biological and social sciences. Interdisciplinary methods have been used to address how race affects health. according to published studies, many factors combine together to affect the health of individuals and communities. Whether people are healthy or not, is determined by their circumstances and environment. Factors that need to be addressed when looking at health and race: income and social status, education, physical environment, social support networks, genetics, health services and gender. These determinants are often cited in public health, anthropology, and other social science disciplines. The WHO categorizes these determinants into three broader topics: the social and economic environment, the physical environment, and the person’s individual characteristics and behaviors. Due to the diversity of factors that often attribute to health disparities outcomes, interdisciplinary approaches are often implemented.

Interdisciplinarity or interdisciplinary studies involves the combining of two or more academic disciplines into one activity (e.g., a research project) The term interdisciplinary is applied within education and training pedagogies to describe studies that use methods and insights of several established disciplines or traditional fields of study. Interdisciplinarity involves researchers, students, and teachers in the goals of connecting and integrating several academic schools of thought, professions, or technologies—along with their specific perspectives—in the pursuit of a common task.

Biocultural approach

Biocultural evolution was introduced and first used in the 1970s. Biocultural methods focus on the interactions between humans and their environment to understand human biological adaptation and variation. These studies: 

“research on questions of human biology and medical ecology that specifically includes social, cultural, or behavioral variables in the research design, offer valuable models for studying the interface between biological and cultural factors affecting human well-being” 

This approach is useful in generating holistic viewpoints on human biological variation. There are two biocultural approach models. The first approach fuses biological, environmental, and cultural data. The second approach treats biological data as primary data and culture and environmental data as secondary. 

The salt sensitivity hypothesis is an example of implementing biocultural approaches in order to understand cardiovascular health disparities among African American populations. This theory, founded by Wilson and Grim, stems from the disproportional rates of salt sensitive high blood pressure seen between U.S. African American and White populations and between U.S. African American and West Africans as well. The researchers hypothesized that the patterns were in response to two events. One the trans-Atlantic slave trade, which resulted in massive death totals of Africans who were forced over, those who survived and made to the United States were more likely able to withstand the harsh conditions because they retained salt and water better. The selection continued once they were in the United States. African Americans who were able to withstand hard working conditions had better survival rates due to high water and salt retention. Second, today, because of different environmental conditions and increased salt intake with diets, water and salt retention are disadvantageous, leaving U.S. African Americans at disproportional risks because of their biological descent and culture.

Bio social inheritance model

Similar to the biocultural approach, the bio social inheritance model also looks at biological and social methods in examining health disparities. Hoke et al. define Biosocial inheritance as “the process whereby social adversity in one generation is transmitted to the next through reinforcing biological and social mechanisms that impair health, exacerbating social and health disparities.”

Controversy

There is a controversy regarding race as a method for classifying humans. Different sources argue it is purely social construct or a biological reality reflecting average genetic group differences. New interest in human biological variation has resulted in a resurgence of the use of race in biomedicine.

The main impetus for this development is the possibility of improving the prevention and treatment of certain diseases by predicting hard-to-ascertain factors, such as genetically conditioned health factors, based on more easily ascertained characteristics such as phenotype and racial self-identification. Since medical judgment often involves decision making under uncertain conditions, many doctors consider it useful to take race into account when treating disease because diseases and treatment responses tend to cluster by geographic ancestry. The discovery that more diseases than previously thought correlate with racial identification have further sparked the interest in using race as a proxy for bio-geographical ancestry and genetic buildup.

Race in medicine is used as an approximation for more specific genetic and environmental risk factors. Race is thus partly a surrogate for environmental factors such as differences in socioeconomic status that are known to affect health. It is also an imperfect surrogate for ancestral geographic regions and differences in gene frequencies between different ancestral populations and thus differences in genes that can affect health. This can give an approximation of probability for disease or for preferred treatment, although the approximation is less than perfect.

Taking the example of sickle-cell disease, in an emergency room, knowing the geographic origin of a patient may help a doctor doing an initial diagnosis if a patient presents with symptoms compatible with this disease. This is unreliable evidence with the disease being present in many different groups as noted above with the trait also present in some Mediterranean European populations. Definitive diagnosis comes from examining the blood of the patient. In the US, screening for sickle cell anemia is done on all newborns regardless of race.

The continued use of racial categories has been criticized. Apart from the general controversy regarding race, some argue that the continued use of racial categories in health care and as risk factors could result in increased stereotyping and discrimination in society and health services. Some of those who are critical of race as a biological concept see race as socially meaningful group that is important to study epidemiologically in order to reduce disparities. For example, some racial groups are less likely than others to receive adequate treatment for osteoporosis, even after risk factors have been assessed. Since the 19th century, blacks have been thought to have thicker bones than whites have and to lose bone mass more slowly with age. In a recent study, African Americans were shown to be substantially less likely to receive prescription osteoporosis medications than Caucasians. Men were also significantly less likely to be treated compared with women. This discrepancy may be due to physicians' knowledge that, on average, African Americans are at lower risk for osteoporosis than Caucasians. It may be possible that these physicians generalize this data to high-risk African-Americans, leading them to fail to appropriately assess and manage these individuals' osteoporosis. On the other hand, some of those who are critical of race as a biological concept see race as socially meaningful group that is important to study epidemiologically in order to reduce disparities. 

David Williams (1994) argued, after an examination of articles in the journal Health Services Research during the 1966–90 period, that how race was determined and defined was seldom described. At a minimum, researchers should describe if race was assessed by self-report, proxy report, extraction from records, or direct observation. Race was also often used questionable, such as an indicator of socioeconomic status. Racial genetic explanations may be overemphasized, ignoring the interaction with and the role of the environment.

From concepts of race to ethnogenetic layering

There is general agreement that a goal of health-related genetics should be to move past the weak surrogate relationships of racial health disparity and get to the root causes of health and disease. This includes research which strives to analyze human genetic variation in smaller groups than races across the world.

One such method is called ethnogenetic layering. It works by focusing on geographically identified microethnic groups. For example, in the Mississippi Delta region ethnogenetic layering might include such microethnic groups as the Cajun (as a subset of European Americans), the Creole and Black groups [with African origins in Senegambia, Central Africa and Bight of Benin] (as a subset of African Americans), and Choctaw, Houmas, Chickasaw, Coushatta, Caddo, Atakapa, Karankawa and Chitimacha peoples (as subsets of Native Americans).

Better still may be individual genetic assessment of relevant genes. As genotyping and sequencing have become more accessible and affordable, avenues for determining individual genetic makeup have opened dramatically. Even when such methods become commonly available, race will continue to be important when looking at groups instead of individuals such as in epidemiologic research.

Some doctors and scientists such as geneticist Neil Risch argue that using self-identified race as a proxy for ancestry is necessary to be able to get a sufficiently broad sample of different ancestral populations, and in turn to be able to provide health care that is tailored to the needs of minority groups.

Association studies

One area in which population categories can be important considerations in genetics research is in controlling for confounding between population genetic substructure, environmental exposures, and health outcomes. Association studies can produce spurious results if cases and controls have differing allele frequencies for genes that are not related to the disease being studied, although the magnitude of its problem in genetic association studies is subject to debate. Various techniques detect and account for population substructure, but these methods can be difficult to apply in practice.

Population genetic substructure also can aid genetic association studies. For example, populations that represent recent mixtures of separated ancestral groups can exhibit longer-range linkage disequilibrium between susceptibility alleles and genetic markers than is the case for other populations. Genetic studies can use this disequilibrium to search for disease alleles with fewer markers than would be needed otherwise. Association studies also can take advantage of the contrasting experiences of racial or ethnic groups, including migrant groups, to search for interactions between particular alleles and environmental factors that might influence health.

Human genome projects

The Human Genome Diversity Project has collected genetic samples from 52 indigenous populations.

Sources of racial disparities in care

In a report by the Institute of Medicine called Unequal Treatment, three major source categories are put forth as potential explanations for disparities in health care: patient-level variables, healthcare system-level factors, and care process-level variables.

Patient-level variables

There are many individual factors that could explain the established differences in health care between different racial and ethnic groups. First, attitudes and behaviors of minority patients are different. They are more likely to refuse recommended services, adhere poorly to treatment regimens, and delay seeking care, yet despite this, these behaviors and attitudes are unlikely to explain the differences in health care. In addition to behaviors and attitudes, biological based racial differences have been documented, but these also seem unlikely to explain the majority of observed disparities in care.

Health system-level factors

Health system-level factors include any aspects of health systems that can have different effects on patient outcomes. Some of these factors include different access to services, access to insurance or other means to pay for services, access to adequate language and interpretation services, and geographic availability of different services. Many studies assert that these factors explain portions of the existing disparities in health of racial and ethnic minorities in the United States when compared to their white counterparts.

Care process-level variables

Three major mechanisms are suggested by the Institute of Medicine that may contribute to healthcare disparities from the provider's side: bias (or prejudice) against racial and ethnic minorities; greater clinical uncertainty when interacting with minority patients; and beliefs held by the provider about the behavior or health of minorities. Research in this area is new and ongoing.

Lie point symmetry

From Wikipedia, the free encyclopedia https://en.wikipedia.org/wiki/Lie_point_symmetry     ...