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Socioeconomic Status And Suicide Essay

637 Words3 Pages

Research Hypothesis
The hypothesis being tested in “Socioeconomic Status and Subjective Life Expectancy” by John Mirowsky et al. states that American adults expect living longer lives the higher their achieved socioeconomic status. Socioeconomic is the interaction of social and economic factors.
The hypothesis being tested in “Differential association of socioeconomic status in ethnic and age defined suicides” by David C. Purselle states that suicide rates vary among racial- and age-defined groups, however, risk factors impact each individual group differently. This study assessed differential associations of socioeconomic status among age- and race-defined groups of suicide victims.
Research Design
In “Socioeconomic Status and Subjective …show more content…

Of those victims, 80.6% were fully informative regarding the victim's age, gender, race, zip code of residence, method of suicide, and alcohol and cocaine toxicology. , 69% were white (n=767) and 31% were African American (n=343).
Results
SES and Subjective Life Expectancy states that people who are employed part-time or are keeping house do not differ significantly in subjective life expectancy from those employed full-time. In “Differential association of socioeconomic status” on average, suicide victims lived in areas with lower per capita income than the general population in Fulton County African American suicide victims per capita was 70% higher. This supports, at least for white victims, previous observations that low SES is a risk factor for suicide. T This study also found that elderly suicide victims were more likely to live in the lowest income areas compared to younger victims, although the instantaneous suicide risk was mitigated by increasing income.
Conclusions
SES and Subjective Life Expectancy show that substantial effects of achieved socioeconomic status influences subjective life expectancy. Educational attainment and past or recent economic hardship exert two of the largest and statistically most significant estimated

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