Part 1: Relationship between Health and Income Level The frequency distribution below illustrates the relationship between different income level and health, income-health gradient. It represents five different income levels and their reported health ratings. People who have the lowest income are the members of the first group while people who have the highest income are the members of the last group. Moreover, health rating numbers range from one to five, best to worst. According to the distribution table, people with higher income have the highest percentage of excellent rating (49.9) among all other groups, and it is followed by group four, three, two and one respectively. Similarly, the first group has the highest poor rating percentage (4.7) comparing to the other groups. This table shows the positive correlation between health and income levels. As one`s income increases, the frequency of excellent ratings increases. People with higher income tend to be healthier because they have a better diet, can afford to go to doctor for check-up, practice regularly, and live healthier lifestyle. Whereas people with low income may have to work in dangerous jobs, take more risks, still have to go work when sick, and depend on consuming unhealthy food. Therefore, the frequency distribution supports the health/income gradient clearly. Relationship between Health and Income Level Part 2: Combining the Effects of Age and Income Level on Health Status Holding age constant, people
Why are higher income and social status associated with better health? If it were just a matter of the poorest and lowest status groups having poor health, the explanation could be things like poor living conditions. But the effect occurs all across the socio-economic spectrum. Considerable research indicates that the degree of control people have over life circumstances,
Socio-economic class or socio-economic status (SES) may refer to mixture of various factors such as poverty, occupation and environment. It is a way of measuring the standard and quality of life of individuals and families in society using social and economic factors that affect health and wellbeing ( Giddens and Sutton, 2013). Cockerham (2007 p75) argues: ‘Social class or socioeconomic status (SES) is the strongest predictor of health, disease causation and longevity in medical sociology.’ Research in the 1990s, (Drever and Whitehead, 1997) found out that people in higher SES are generally healthier, and live longer than those in lower SES.
These are a few potential links between social inequalities and the health of the population: income and wealth distribution, unemployment, the ageing society, gender and health, mental illness and suicide and disability and dysfunction. I am going to discuss each of these and see the health impact on people in each group.
Although the overall health of the United States population has improved, large disparities in terms of health outcome and access to healthcare exist between wealthier Americans and their “poorer counterparts primarily because of differences in education, behavior, and environment.” (Longest, 2015, p8). Access to health care and other services is associated with wealth, employment, education and power. Higher education, which translates to higher income, allows people to buy healthier food, live in safer, cleaner neighborhood and access the best healthcare possible. Power on the other hand permits people to secure health for themselves and their families, while others without power have limited or no access to the resources they need to be
First, there is Jim Taylor, Hospital CEO, District 16; second, Tondra Young, Clinical Lab Supervisor, District 24; lastly, Corey Anderson, Floor Technician, District 21. The population of each district decreases in average income, education level and life expectancy than its preceding district, beginning with district 16, Jim Taylor’s district. District 16 has an average combined household income of approximately $120,000/ annually. In this district, 65% of the population has a college degree and the life expectancy in this district is 82 years. Whereas, Tondra Young’s district, district 24, has an average combined household income of $70,000/annually and 15% of the population has a college degree. The life expectancy of district 24 is 75 years, that’s 7 years less than district 16. In district 21, Corey Anderson’s district, the average combined household income is less than $50,000/ annually and only 5% of the districts population have college degrees. Consequently, the life expectancy of district 21 is 70 years, 5 years less than district 24 and 12 years less than district 16 (Adelman 2008). The results of this study are indisputable: there is an obvious correlation between social/economic status and health status. As each districts average income and education level decrease, average life expectancy coincides. This leads to the next question: why does social and economic status so greatly influence health status?
Throughout the course we discussed the causes of health disparities which really impact me a lot, due to my directly work with minorities. I hear many times that stress can kill a person, and based The Death Gap stress it focus on structural violence throughout the book, it is the policies and laws that determines your access to a quality life. Minorities are segregated into certain communities where there is poverty, violence and less access to resources and that has a major impact in the quality of health and life that leads to premature death. African American are victims of discrimination when trying to buy a house on a more well off area, or rental discrimination. Income inequality affects minorities and access to health care. We need
From my results, total experience, marital status, male, hours worked per week in 2011, professional education, bachelor’s degree, associate’s degree and high school’s degree are all statistically significant at 5% significance level and all have positive effects on ln(income). The variable Black is also statistically significant at 5% significance level, but the effect of this variable is negative. In terms of my interest, even though self-reported health has positive relationship with ln(income) and people who have good self-reported heath tend to earn 17.06% higher, the coefficient is statistically insignificant. Hence the null hypothesis which states that the relationship between health and income is not significant cannot
Socio-economic variations in health can be presented by the concentration curve and CI, as a means to assess the degree of income-related inequality in the distribution of a health variable.
According to (Kindig, 2017) “… income may buffer the effects of some variables associated with poor health”. In most cases, there is a relationship between income and health because an individual with higher income and social status have more control of their dieting and personal lifestyle. Conversely, high income could also have a negative impact on people because they are exposed to gambling, excessive alcohol and drug abuse.
Discussion The social determinants of health (SDoH) are examined in great depth throughout the course. There were quite a few socioeconomic factors, but this section of the paper will focus on three of them. Income greatly affect a person’s health. this is something someone can probably
classes are perhaps not as clear as they used to be. But it is just as
This essay will discuss ways in which a person’s socioeconomic class and his/her social situation can have an impact on his/her health, using examples. We believe that there is a direct link between socioeconomic/social class and health (Adler et al. 1994). I will be defining the key terms: socioeconomic and health, social class then proceed to discuss about how poverty, income, employability, environment and housing can impact on a person’s social situation and their health.
Income inequality also causes obesity however; we mostly blame individuals for being obese. Being obese can have a serious impact on mental and physical health. it is an illness that is associated with stereotypes. The biggest one is “if poor people become obese they cannot be not poor”. People in this mentality also exclude the structural and social conditions that cause illnesses such as obesity. Social life affects the health of people, especially the socioeconomic level. How much you earn monthly is a factor how fit you are. The risk of being an obese is lower for the wealthy individuals. Poor people are obese because they have no money to buy healthy food, they have no time to exercise, they have stress that causes them to eat constantly, they lack education, they do not have access to the healthcare, they do not have social support and so on. It is mostly about the income inequality.
Income can impact both your physical health and your mental health in a multitude of ways. Income plays a role in determining the level of health care you can afford, surgeries you can have done, and even the food you choose to eat. Stress from lack of income can have detrimental effects on your mental state as well.
Socioeconomic status is a predictive measure of health that has been widely used in the literature (Kroenke, 2008). It