What Was The Objective Of The Jama Article?

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,

In the movie Unnatural Causes: In Sickness and in Wealth, it compared the lives of four individuals, Taylor, Young, Anderson, and Turner, in different locations, race, and socioeconomic background. The scale of difference between this group of people is that it goes from financially stable and healthy individuals to individuals with lower income and poorer health. This wealth-health gradient reflects that those who have easier access to healthier lifestyles (i.e. running outside without the concern of safety) are more likely to have a higher life expectancy than those who are in living environments that are not as developed and lack healthier options of nutrition. The difference of the average life expectancy scaled down from Jim Taylor whose neighborhood had an average life expectancy of 80 years, Young’s 75.3 years,

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.

What was the purpose of this study? (i.e., what question(s) did the authors want to answer?)

People were less likely to face poor retirement if they worked in managerial or professional jobs than someone who worked in unskilled or manual occupations. This is because the people who worked in manual would have earned lower wages and would not be as likely to get a private pension. Men that are in the professional classes have a life expectancy of 80 years from birth. However men from unskilled or manual classes have a life expectancy of 78.1 years. This also effects woman’s life expectancy as woman from professional classes have a life expectancy of 85.1 compared to those who are in the unskilled or manual classes and their life expectancy if 78.1 years. Causes of death also vary from different social classes. In the higher social classes it is less likely to suffer from, lung cancer, coronary heart disease, stokes and respiratory diseases. All of these increase within social disadvantages.

There has always been a link between social class and health, even with the welfare state and the improvements made to health in all sections of societies over the years, a difference still remains in this area. This difference is applied to all aspects of health, which include life expectancy, general levels of health and infant mortality. Many people argue that as long as the quality of life is

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?

In the United States, there is an inequitable distribution of power, money, and resources that create health disparities among the different socioeconomic classes (WHO, 2014). The PPACA was created to affect the social determinants of health through the Expansion of Medicaid via the PPACA. An example of health disparities can be seen with life expectancy across the difference levels of social economical levels. In the United States, the upper class individuals live on average 20 years longer than those in the poorer classes (Marmot, 2005).

In the article Does a Higher Income Have Positive Health Effects? Using the Earned Income Tax Credit to Explore the Income-Health Gradient. The researcher relied on using several reports and surveys to gather information. The researcher used self-reported health status and the functional limitations indicated on the Survey of Income and Program Participation (SIPP), as well as the self-reported health status shown on the March Current Population Survey (CPS), the researcher focused on the low-income population, with an income below 200 percent of the federal poverty line.The purpose of the research had been to further investigate the already shown existence of a positive relationship between income and morbidity. The researcher wanted to explore the relationship of increased health in higher-wage workers and wanted to see if the increase was due because of the ability to purchase more health inputs, or if higher wage workers were more

Tondra Young, who lives in a less wealth district, has a slightly lower life expectancy. The trend continues with Corey Anderson, and Mary Turner, where the lower the affluence of the community is, the lower the predict life expectancy becomes. Wealth, in this case, can be seen as a fundamental cause of health

In this article, Dr. Montez and Dr. Zajacova analyze the gap in mortality across education levels among white women from the US. Unlike the current research on this gap that is mainly education specific and focuses on trends for specific causes of death or health-related behaviors, this article focuses on social-psychological factors, economic circumstances, and health behaviors as mechanisms by which this gap is widening. These factors were selected because of the overwhelming body of research that suggests that they connect education level and mortality rates. For example, marriage is more frequently found among higher educated individuals and has been identified as a social-psychological factor that promotes longevity. By exploring these

The United States is world renowned for having the best health care if not the most accessible. Citizens have at their disposal a plethora of hospitals, physicians, and therapists to improve their well-being. Statistical data was taken back in 2010 under the Central Texas Region and studied health care coverage and income in regards to the community. The data displayed in the surveys heavily suggest that income/ health in general have a high correlation. The issue that arose with the given data imply that those who are on the lower end of the income spectrum subsequently have no health care coverage and poorer health than those with higher income. In any case with high correlation there are a number of factors influencing the statistical evidence, and in this case sociological barriers are present in regards of inequality and health care.

In his book and lecture, Abramson (2015) explains the difference in challenges seniors face based on their economic circumstances. Research showed that older adults who resided in poor, socially marginalized neighborhoods did not have the opportunities or access to resources compared to high socioeconomic neighborhoods. Therefore, these lower status neighborhoods produce higher mortality rates earlier in life due to high stress, manual labor, and other forms of deprivation. Abramson explains that inequality scribes itself on the body throughout one’s life course possibly even on a genetic level. The disadvantaged have health problems throughout the course of their lives because social circumstances does affect the extent the body wears out.

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.

The life in the U.S compared to that of the Soviet Union during the 60’s is an amazing phenomenon of a declining life expectancy in a highly developed country just like in the case of the Soviet Union during the 60’s down to the 70’s. The result of the life expectancy rate in the Soviet Union shows that there is only a small part to true informal changes in the state of living. However, the weak point of the measures of life expectancy is of vital importance, although another factor is the unfavourable selection of risks by war, thereby making a less valuable comparison between the international and inter temporal. Another factor is the logical difference between period and the measurement of the group of people sharing a common factor