A topic landscape study for adolescent depression

Abstract

BackgroundLiterature on adolescent depression is not only rich in content and diverse in form, but also scattered and complex in structure. However, there is no dynamic development analysis and evolution analysis related to the topic. Therefore, this study drew a topic landscape map and predicted the prevalence of topics in the future.MethodsA systematic review was made to collect research publications on adolescent depression and describe the development of this field in the last five decades. We adopted visualization strategy and Herfindahl-Hirschman Index to uncover the latent structure of different topics from literature. The ARIMA model was utilized to predict the prevalence of each topic in the time dimension.ResultsBy using content analysis technique, 21 topics are extracted from 1,595 articles of adolescent depression. These 21 topics were further divided into four hot topics, seven stable topics and ten cold topics based on the results of the ARIMA model. In particular, we predict that “family environment and parenting styles”, “diagnosis, treatment and interventions” and “mental disorder and behavior problems” will receive much attention in the next five years.ConclusionThis paper provides temporal characteristics of each topic. This has an important implication to choose promising research topics for researchers and journal editors.