One child from the household was randomly selected. Adolescents fulfilling the diagnostic criteria as well as having number of symptoms one or more standard deviation above mean were entitled to be having a psychiatric disorder. Proportional risks of unfavorable adolescent outcomes and confidence intervals at 95% were calculated for every depressive diagnosis, psychiatric diagnosis, anxiety diagnosis, substance abuse diagnosis and disruptive diagnosis.
The outcomes revealed that the adolescents with anxiety, depressive, disruptive and substance abuse disorder were found to be 2.86-2.91 times more likely to experience failure in completing secondary school education as compared with young adults without psychiatric disorders. Young adults with disruptive disorders were found to be 4.04 (1.96–8.32) times more probably to get in difficulty with police during early adulthood as compared to those without disruptive disorders. The positive prognostic value of every psychiatric disorder measure for not completing school was greater in the lowest SES stratum and for adolescents criminal involvement was greater for boys. The combination of age, gender, symptom counts and social class within a logistical regression model conceded 87% specificity and 89% sensitivity at p≥0.13 cut off for forecasting succeeding school non-completion. Future criminal involvement on the other hand when tested at the optimum cutoff value yielded 76% specificity and 75% sensitivity (Vander et al., 2002).
Going through the given study a novel technique of utilizing various symptoms of psychiatric disorders for predicting not completing school education and the involvement of adolescents in criminal behavior was analyzed. The overall model used was significant and required professional skills to handle as the sample was quite large. However since the study involved two areas of similar geography, it can be expanded to geographical units ...Show more