When Hurricane Katrina struck New Orleans a couple months ago the citizens of this country were bombarded with questions on race playing a responsibility of the survivors that were stranded for days to soon be plucked from their rooftops. These people who were living paycheck to paycheck did not have the same resources of the wealthy. They most likely had no insurance, no stable extended family that could lend them a house to stay or even a job to return to after the storm. The majority of New Orleans is African American and also in poverty and although it has been an uncomfortable subject to discuss it seems that if these people would have had the help to flee the city or been able to afford transportation to escape their health conditions might not have been so dire. Behind it all there lays health, race and income. The person who earns the most, wins right? Socioeconomic status determines our place in life and if the rules are not broken, the path is fairly predictable.
The factor of money seems to not only promote a better education, but also better-quality health care, neighborhoods and sanitation. To better determine how health, race and income are correlated I analyzed these three concepts. The dependent variable Sample One Variables">independent variable used was combined race / ethnicity records. The dependent was their overall health conditions. Finally, I used income as a control variable to judge how much of a factor income plays on physical conditions. II.
The Dissertation on Job Performance Of Health Center Staff In Brgy. Apas, Cebu City
... will gather vital information about the patient regarding his/her health condition. Gave immunizations to infants and children ranked second ... includes all services that play a part in health, such as income, housing, education, and environment. Primary care is ... experts” whose strategies for health promotion reflect their social positions (e.g., their gender, race and economic status). They also ...
Measurement For this analysis my independent variable was race which included three groups of Hispanic, Non-Hispanic White and Non-Hispanic Black. The dependent variable I applied was overall health status with a rating of 4 being interpreted as fair health and a rating of 5 translating to poor health. The controlled variable analyzed was income of $20, 000 or more and $20, 000 or less. Each of these groupings varied in sample size.
For the $20, 000 or more category combined people measured for Hispanic was 1, 246, 519; for Non-Hispanic White it was 6, 598, 138 and finally for Non-Hispanic Black 1, 185, 431 were measured. For the controlled variable for $20, 000 or less category combined people measured for Hispanic was 944, 946; for Non-Hispanic White it was 3, 220, 455 and for Non-Hispanic Black 1, 321, 714 were questioned. When examining these measurements it is observed that more whites were looked at then Hispanics or Blacks. When I give my interpretation I must then try to equal out the amount that was tested to be fair. To do so, I need to use a ratio to make sure that each sample is measured appropriately.
For example, on the sample for the independent and dependent variables measured in the row total for Hispanics were 2, 191, 465. I then divided 80, 000 by 2, 191, 465 to receive. 037. To then get a percentage I multiplied this amount by 100 to receive a percentage of 3. 6%. I had to proceed with this task in order to receive a fair amount of people measured and these are my results: Overall health Overall health $20, 000 and more Overall health $20, 000 and less Fair Poor Fair Poor Fair Poor Race Hispanic 4.
6 18 Race Hispanic 7. 5 44. 8 Race Hispanic 11. 7 30. 2 Non-Hispanic White 1. 1 3.
3 Non-Hispanic White 1. 5 5. 8 Non-Hispanic White 3. 7 7. 7 Non-Hispanic Black 4. 1 14 Non-Hispanic Black 8 41 Non-Hispanic Black 8.
The Essay on Black man and white women
The story "Black Man and White Women in Dark Green Rowboat”, written by Russell Banks, is about an interracial relationship on the brink of disaster. The story opens up on an extremely hot day in August at a trailer park that is right next to a lake with a variety of people who live there. I was not immediately aware that the black man and the white woman were the focus of the story, but those ...
5 21 III. Results For this analysis my independent variable was race / ethnicity and my dependent variable was health status. When analyzing these two variables it was easy to see between the races that both Hispanics and Blacks have worse health than Whites. The association of these two variables is almost inevitable when discussing socioeconomic status in the world and throughout my studies at Arizona State University the issue of race and overall health has been raised.
Disparity in health status among races can be argued among social scientists until the end up time, but when the smoke beings to clear the standing are that blacks and Hispanics are not overall as healthy as whites. According to Darker and Ferraro social economic status plays a gigantic role in that black people “report higher levels of morbidity, they manifest the highest mortality rate for heart disease, stroke and many types of cancer… they also suffer from more functional disability and are more likely to rate their health negatively” (192).
People of minority are in essence born with a cause and effect disadvantage of being born of a different race, which leads to an effect of having to rise above possibly living in poverty, experiencing minor to major health problems to hazardous working conditions.
