Table of Contents
Scout (1) elucidates how there has been an increase in the difference between the health of poor and rich teens. That’s in the first decade of this century. That was in conjunction with a survey conducted in thirty-four countries in both Europe and North America. The research proved that there had been an increased socioeconomic change across several sectors of adolescent mental and physical health as of 2002 until 2010. It remained vivid that teens from poorly affiliated groups faced more health glitches than those from well off groups. That research relied on data that got collected from 500,000 people from both Europe and North America. They all had participated in a survey conducted by the World Health Organization (WHO).
In the article by Matthew and Brodersen, their focus was on the relationship between income inequality and the health of people in the United States (US). In regards to the article, the authors state that several pieces of research exhibited the relationship between health and income inequality. Their study precisely focused on the correlation between income inequality, which was measured using a state-level Gini coefficient. That coefficient was from the American Community Survey in conjunction with individual behavioral outcomes, mental health outcomes, and physical outcomes. All from the Behavioral Risk Factor Surveillance System of 2006 to 2014. During the research, they controlled both demographic and socioeconomic characteristics.
Moreover, they also controlled year trends, health insurance, and state fixed effects, which made it vivid that income inequality had a significant impact on health. Its basis was on the prevalence of obesity, diabetes, heart diseases, depression, and substantial drinking issues, among others. That was in comparison to both high- and low-income individuals. It was clear the prevalence was higher in low-income individuals than high-income individuals. The research concluded that in the case the US governments solve the income inequality in the country, there were high chances it would end up solving some of the health glitches it faces.
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Comparison and Contrast
The subject of equality among the different populations has most of the time, been affiliated with race and discrimination by most journalists and sociologists. Unlike most sociological researches, the articles by Matthew and Brodersen and Scout related the issue of inequality with socioeconomic glitches irrespective of race. The two articles concur in the sense that differences in the economic status of individuals may lead to poor health conditions among the poor group than the financially able group. Teens from poor backgrounds were at a higher health risk compared to those from the wealthy groups (Scout 1). That concurred with Matthew and Brodersen (440), who stated that there was a significant and consistent relationship between physical health and income inequality. Among the variables considered when measuring wealth, income falls among them. Even though Scout (1) focused on health and wealth ownership as a whole (categorizing teens as poor or rich), his information concurs with that of Matthew and Brodersen. They specifically focus on income inequality and health.
Information from both articles targeted both sociologists and other affiliated professionals in the health sector and from the political sector. Most nations have issues when it comes to providing quality health care to their citizens. The two articles concur since both kinds of research applied data from the same period. Scout (2) used data from WHO from 2002 to 2010, while Matthew and Brodersen (432) used data from 2006 to 2014. The data used in the two articles, even though they came from different databases, shared at least demographic aspects present between 2006-2010. The similarity in time must have had an impact on the reason for instigating the researches and the type of results found.
On the contrary, the two articles differ in some aspects, namely the type of articles they are and the way of information dissemination. The article by Scout is not scholarly, while that of Matthew and Brodersen is scholarly. Scout’s article was posted on twitter while that of Matthew and Brodersen got posted on Elsevier, which harbors mainly academic contents. Even though information from both materials is essential, Scout’s article is less formal compared to that of Matthew and Brodersen. Focusing on information dissemination, the two differ since Scout does not exhibit any form of research, while that of Matthew and Brodersen elucidates profound research with a literature review (433;434) and precise Data and Method section (434;435).
Based on that, it is vivid that Scout’s precisely targeted the informal population, encompassing anyone with access to Twitter while that of Matthew and Brodersen was specifically for scholars who had access to the Elsevier database. Moreover, regarding the target population in both articles, it was vivid that Matthew and Brodersen put a lot of attention to the context of the type of results they wanted to obtain. They categorized their dependent variable in a section that would offer a profound view of how income and different health issues correlate. That was contrary to Scout’s research, which provided a generalization of the problem and the variables.
Conclusion
Summing up, both articles have proved how some economic differences affect the quality of some socioeconomic factors like health. They have both offered a diverse insight into how health, even though it is essential, may get affected. Moreover, despite the numerous associations of previous researches affiliating economic inequalities with race and discrimination, the two articles have elucidated how some socioeconomic factors get affected by economic disparities. Despite the few difference they had, both articles have proved that economic inequalities affect the quality of health people attain.
