Health Inequity Questions/ Abstracts
W.G.
How does the environment help to worsen the symptoms of bipolar disorder? How can this lead to other "domino effect" events that occur from the worsening of symptoms? Can this lead other that live with affected individuals to leave?
Abstract- Bipolar disorder is an extremely common disease in the U.S and can be seen in 3 times as many women than men (Bipolar-Lives, 2016). The symptoms are very similar per patient but can vary based upon environment. People that tend to have stressful work life have intensified symptoms; nevertheless, people that have easy lives and not many stress activators have less intense symptoms. This essay will inform the reader on many different factors from the environment that go into the process of drastically increasing the symptoms bipolar disorder. Upon reading the essay, the reader will have pretentious knowledge on environmental risk factors that affect people with bipolar disorder.
J.W.
Question of Health - Is bipolar disorder genetic? If so, does bipolar disorder manifest in those people no matter what they do? What environmental risk factors (income?) can lead to the onset of bipolar disorder?
Abstract -
This paper is about the role of societal health inequities, especially income disparities, in the onset of bipolar disorder. It explains how bipolar disorder and its symptoms can be caused by environmental risk factors even though it is almost definitely genetic, as proven by multiple experiments (this paper also explains one particular gene that was researched and what was concluded from the experiment - this particular gene was overexpressed in the patients who had bipolar disorder). Moreover, this paper lists multiple environmental risk factors that can lead to bipolar disorder or its symptoms and how income disparities within society have high correlations to those risk factors. The genetic risk factors are touched upon slightly as well. Lastly, the paper concludes by summarizing everything previously stated and showing a way to lessen the rate of onset of bipolar disorder.
How does the environment help to worsen the symptoms of bipolar disorder? How can this lead to other "domino effect" events that occur from the worsening of symptoms? Can this lead other that live with affected individuals to leave?
Abstract- Bipolar disorder is an extremely common disease in the U.S and can be seen in 3 times as many women than men (Bipolar-Lives, 2016). The symptoms are very similar per patient but can vary based upon environment. People that tend to have stressful work life have intensified symptoms; nevertheless, people that have easy lives and not many stress activators have less intense symptoms. This essay will inform the reader on many different factors from the environment that go into the process of drastically increasing the symptoms bipolar disorder. Upon reading the essay, the reader will have pretentious knowledge on environmental risk factors that affect people with bipolar disorder.
J.W.
Question of Health - Is bipolar disorder genetic? If so, does bipolar disorder manifest in those people no matter what they do? What environmental risk factors (income?) can lead to the onset of bipolar disorder?
Abstract -
This paper is about the role of societal health inequities, especially income disparities, in the onset of bipolar disorder. It explains how bipolar disorder and its symptoms can be caused by environmental risk factors even though it is almost definitely genetic, as proven by multiple experiments (this paper also explains one particular gene that was researched and what was concluded from the experiment - this particular gene was overexpressed in the patients who had bipolar disorder). Moreover, this paper lists multiple environmental risk factors that can lead to bipolar disorder or its symptoms and how income disparities within society have high correlations to those risk factors. The genetic risk factors are touched upon slightly as well. Lastly, the paper concludes by summarizing everything previously stated and showing a way to lessen the rate of onset of bipolar disorder.
Graphs
J.W.
This graph shows the percentage of adults (separated by age group) who have had serious mental illness(es) in the past year. The data was collected from 2008-2013.
As you can see, the prevalence of serious mental illness in the past year was the lowest in the people 18-25 years old in 2008-2009. It was the highest for people 26 or older. Unfortunately, the prevalence has gone up for all age groups, and the age group who had the highest prevalence in 2012-2013 was the people who were 18-25. The gap between the groups closed though; the prevalence was very similar among all age groups in 2012-2013.
This graph shows the percentage of adults (separated by age group) who have had serious mental illness(es) in the past year. The data was collected from 2008-2013.
As you can see, the prevalence of serious mental illness in the past year was the lowest in the people 18-25 years old in 2008-2009. It was the highest for people 26 or older. Unfortunately, the prevalence has gone up for all age groups, and the age group who had the highest prevalence in 2012-2013 was the people who were 18-25. The gap between the groups closed though; the prevalence was very similar among all age groups in 2012-2013.
Serious Mental Illness in the Past Year in the United States, by Age Group
W.G.
This graph shows many different relations to be seen in the different age groups. You can see that in more states that have lots of cities that they have lower rates than places that are more rural. It is skewed very differently from coast to coast, but it is similar in the middle of the country. As you can see, only 10 out of 50 states have high percentages. Since this data is from 2012-13, it is a little dated. Today, though, there are more and more people everyday that do develop the disease.
Sources
This graph shows many different relations to be seen in the different age groups. You can see that in more states that have lots of cities that they have lower rates than places that are more rural. It is skewed very differently from coast to coast, but it is similar in the middle of the country. As you can see, only 10 out of 50 states have high percentages. Since this data is from 2012-13, it is a little dated. Today, though, there are more and more people everyday that do develop the disease.
Sources
- SAMHSA (2013) Retrieved April, 24, 2017, from http://pdas.samhsa.gov/saes/state