Prediction of suicide among 372,813 individuals under medical check-up (vol 131, pg 9, 2020)

Abstract

The authors have corrected the following five points. First, when this article was first published online, it was mistakenly stated in the Results(3.1.Socio-demographic and health data) that “Furthermore, the suicidal group also had more alcohol intake (p = 0.001) and smoking (p < 0.001) but less exercise (p < 0.001)”. This has been corrected in both online and print versions to: “Furthermore, the suicidal group also had more smoking (p < 0.001) but less alcohol intake (p = 0.001) and exercise (p < 0.001). The authors thank Dr. Theo Broekma for informing us of the error. Second, the authors would like that the heading of ‘Type of Medical Insurance’ in the title column of Table 1 be changed to ‘Medical aid’ in order to convey the meaning more clearly. Third, in the discussion section on page 12, the second paragraph, starting with ‘Regarding the importance of the features', should be changed to the following: “Regarding the importance of the variables in this study, the physical activity accounted for very high proportions in suicide prediction. There are several reasons why the variable is crucial. First, decreased physical activity is lifestyle characteristics that are common among individuals who have major mental disorders such as depression and schizophrenia (Berardelli et al., 2018). People who have these mental illnesses have a higher risk of suicide than others do, and physical activity may reflect underlying major mental disorders. Another possibility is that physical activity may cause suicide, directly or indirectly. Increased physical activity is significantly related to fewer suicides (Davidson et al., 2013). Our feature importance results indicated that these conventional risk factors play a prominent role in predicting suicide in the general population. On the other hand, the importance of the diagnosis of depression and psychopharmacological drugs was relatively lower in the results of the random forest method as compared to that of the chi-square test. We believe that this discrepancy might have arisen from the multicollinearity of the variables. Further, the diagnosis of depression is likely correlated with psychopharmacological prescriptions such as antidepressants, benzodiazepines, and zolpidem.” Fourth, the authors modified the final sentence in the conclusions of the Abstract section to be as follows: “Future studies may test preventive interventions such as exercise in these high-risk groups.” Lastly, the authors have revised to omit the following references.: “Turecki, G., Brent, D.A., Gunnell, D., O'Connor, R.C., Oquendo, M.A., Pirkis, J., Stanley, B.H., 2019. Suicide and suicide risk. Nat Rev Dis Primers 5(1), 74. The authors would like to deeply apologize for any inconvenience caused. © 2021