Suicide is a permanent solution to a temporary problem. The main cause for suicide is depression. Depression is more than being sad. Depression is this feeling of complete emptiness. It’s not feeling sad or miserable, it is being emotionless. Its comparable to being an empty body with no person inside, it’s just like you’re a thing or object with no purpose. You don’t have the energy to care or show emotion about everything. It is physically and mentally draining. When someone feels like this the thought of death crosses their mind frequently. You’re already an empty people who can’t show or feel feelings. It’s like you’re dead. When you are in a depressive state Unfortunately I have experienced depression and suicide first hand. Depression
…show more content…
Second, multiple studies also reported similar effect sizes across different time points. When this happens only the effect sizes from the farthest time point was included. Third, Franklin and the other authors conducted analyses that accounted for the complete dependence among effect sizes to model the potential effects of dependence in this meta-analysis (Franklin et al., 2016, p. 7). In the suicide attempt analysis, there was a total of 1,281 odds ratio effect sizes which resulted in a successful suicide. 367 of the 1,281 suicide attempts were poor with accuracy only being slightly better. This contributed to a very poor sensitivity which means that risk factors were rarely correctly identified for individuals who actually attempted suicide (Franklin et al., 2016, p. 14). In the suicide death prevention analysis, there were a total of 912 odds ratio effect sizes that resulted in death from suicide p 14. All the analyses that were conducted showed that the suicidal thoughts/behaviors were poor in terms of odds ratios, hazard ratios, and diagnostic accuracy statistics (Franklin et al., 2016, p. 14). The odds ratios and hazard ratios showed that existing risk factors don’t significantly increase the risk of suicidal thoughts/behaviors. The diagnostic accuracy analyses suggested that existing suicidal risk factors normally incorrectly identified people who would go on to attempt suicidal behavior (Franklin et al., 2016, p.
Second, multiple studies also reported similar effect sizes across different time points. When this happens only the effect sizes from the farthest time point was included. Third, Franklin and the other authors conducted analyses that accounted for the complete dependence among effect sizes to model the potential effects of dependence in this meta-analysis (Franklin et al., 2016, p. 7). In the suicide attempt analysis, there was a total of 1,281 odds ratio effect sizes which resulted in a successful suicide. 367 of the 1,281 suicide attempts were poor with accuracy only being slightly better. This contributed to a very poor sensitivity which means that risk factors were rarely correctly identified for individuals who actually attempted suicide (Franklin et al., 2016, p. 14). In the suicide death prevention analysis, there were a total of 912 odds ratio effect sizes that resulted in death from suicide p 14. All the analyses that were conducted showed that the suicidal thoughts/behaviors were poor in terms of odds ratios, hazard ratios, and diagnostic accuracy statistics (Franklin et al., 2016, p. 14). The odds ratios and hazard ratios showed that existing risk factors don’t significantly increase the risk of suicidal thoughts/behaviors. The diagnostic accuracy analyses suggested that existing suicidal risk factors normally incorrectly identified people who would go on to attempt suicidal behavior (Franklin et al., 2016, p.