Stephenson, J. H., Belesis, M. P., &Balliet, W. E. (2005). Variability in college student suicide: Age, gender, and race. Journal of College Student Psychotherapy , 19 (4), 5-33.
The authors in this article argue that the best way to approach the suicide study at the college level to make a decision should be done with regards to the variability of psychology, age, and race. These authors argue that race, psychology difference and age are some of the critical factors which contribute to a high level of suicide in the colleges. They are concerned with the fact that most the studies do not focus on these matters and thus come up with conclusionsthat are anchored base rates alone. Using the base rate study of the college suicide that majors on the Big ten studies, they cite flaws of such studies that makes them vulnerable to coming up with the conclusion that reflects less the reality on the ground. They used variability studies, and review different pieces of literaturebefore coming to an end that suicide relies on issues such as age, race and psychology differences, and this varies from college to college. This article will be used in the assignments to assert that education programs that aim to reduce suicide in the colleges should be tuned particularly for the vulnerable groups.
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Watt, T. T., & Sharp, S. F. (2002). Race differences in strains associated with suicidal behavior among adolescents. Youth & Society , 34 (2), 232-256.
These authors argue that suicide among adolescents is dependent on strains that create differences between a white and a black individual. Particularly, the authors have an interest in the strains brought about by races and social status among the white and black people in the country. The authors thus, claim that with regards to religion, social status, and pressures, the black students become much vulnerable to suicide than the white. The authors back up their claim with research where they put into use the Add Heath Model Project. Add Health is a large school-based study of the health-related behaviors of adolescents in Grades 7 through 12. This is a model that looks into behavior pertinent to socialcorrelation within a school environment. Itlooks into behavior such as physical disability, suicide rates, and substance abuse within such a particular environment. From this project, they conclude that social and religiousfactors are strains that varyamongblack and white adolescents in school. Thedifferenceswith regards these factors andtheirperception also contribute to the differences in rates of suicide in suchschools. This article is critical for my project. It is an article which will be used to identify different factors that contribute to death in colleges and how they affect different student differently with regards to race, religion and social status.
Langlois, S., & Morrison, P. (2002). Suicide deaths and suicide attempts. Health reports , 13 (2), 9-22.
In this article, the authors claim that there is a high rate of male sluicedrelated deaths than that of female gender in the population. Fromtheauthors ‘viewpoints, suicide has been on the rise in the population particularly between the year 1998 to the year 1999. They note that though female has been hospitalized in their large number for attempted suicide, male has always dominated theheadlines for suicidal acts and death making them the most vulnerable group in the population. Using a vital statistic Database and Person-oriented information database, theseauthors conclude that the number of male genders committing suicide is high. This article is critical for the assignment in two ways. Firsts, it will be used to back up some statistics about suicide in the country. It will also be used to justify the differences insuicide rate with regards to genders in the population.
Stockard, J., & O'Brien, R. M. (2002). Cohort variations and changes in age-specific suicide rates over time: Explaining differences in youth suicide. Social Forces , 81 (2), 605-642.
These authors' argue that the rate of suicide in the United States of America is based mostly on the change in demography with regards to the cohort group. , in this case, is defined as a group of people with similar traits. A good example offered in this article is a group of African American students born within a specific period. In this case, thus, these authors argue that most people for instance who were born in a family that had domestic Issus and ended up single parents are exposed to too much stress. As a result, such a group is a high risk and is critically vulnerable to suicide. The authors have put into use the age-period-cohorttraits model and socialization theory model to justify their view that the cohort is a critical factorthat leads to suicide in the current changing demographic world. The underlying facts from this finding are simple. A group of people, for instance, those who were born during the age of smartphone users are vulnerable to cyberbullying because they have high chances of interacting through internet which is the number one perpetrator of cyberbullying. The same applies to suicide and cohort in this case. This article is critical to this assignment as it adds a new aspect to the topic.
Langhinrichsen-Rohling, J., Lewinsohn, P., Rohde, P., Seeley, J., Monson, C. M., Meyer, K. A., & Langford, R. (1998).Gender differences in the suicide-related behaviors of adolescents and young adults. Sex Roles , 39 (11-12), 839-854.
These authors argue that that the key factors which make male gender vulnerable to suicide are similar but slightly different from those factors which expose female gender to suicide issues. From this article, there are key factors which lead to death. The first is hopelessness, depression, bad behavior that relates to stress such as drug use. From the life Attitude scale used in this assignment, the author reveals that male is more at risk to suicide than female since critical factors that lead to suicide thoughts affect them more than female. The authors claim that male is more involved in dangerous behavior and are injury prone and thus are vulnerable to suicide than female.
