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The present study aims to develop a new predictive index to predict future depression of adolescents by using factors including individual, interpersonal and environmental. The index can be used to predict likelihood of students who are non-probable depression cases convert into probable depression cases. In addition, the investigators also test the factors of depression remission. It can hence be used in school setting to identify high-risk students, and provide them with secondary interventions that are designed by considering modifiable significant variables identified in this unique, large-scale, longitudinal study.
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A 12-month longitudinal study will be conducted in secondary school settings.
The investigators will investigate incidence of probable depression (i.e., from non-depression, CESD<16, at baseline to probable depression, CESD≥16, at month 12) and remission of probable depression.
The investigators will investigate factors that can prospectively predict new cases/remission of probable depression, including both well-documented risk/protective factors and some under-examined but potentially important local factors (e.g. school/academic stress, psychological resilience). The relative importance of the risk/protective factors at different socio-ecological levels will be compared and their combined effect will be identified.
Based on the selected factors, the investigators will derive a new prediction index called the Adolescent Depression Prediction Index (ADPI) in a model building sample and test its performance in predicting incidence of depression in a validation sample among secondary school students in Hong Kong.
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4,799 participants in 1 patient group
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Xue Yang, PhD
Data sourced from clinicaltrials.gov
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