Psychological interventions for mental health disorders among university students in Africa: A systematic review and meta-analysis
Mental disorders such as depression, anxiety, and psychosis, constitute a significant global health burden, affecting diverse populations amid rising unemployment, poverty, and limited educational access.
A systematic review and meta-analysis was done to examine the efficacy of psychological in-terventions for mental health disorders among university students in Africa. The meta-analysis was conducted using a Random-Effects Model.
A comprehensive search for scientific publications published in English between 2010 and 2024 in four databases: Medline (PubMed), Web of Science, Scopus, and gray literature sources, yielded articles encompassing a range of intervention types and study designs.
We are assuming you have R Software, Rstudio IDE and Python installed. If not you can download and install R software then followed by RStudio/Posit IDE.
For installation of Python, you can go through the document Instructions for installing Python.docx. You can also use Google Colab which is a hosted Jupyter Notebook service that requires no setup to use and provides free access to computing resources, including GPUs and TPUs. Google Colaboratory
The data used for analysis and/or generated are available on reasonable request from the Study PI - Agnes Kiragga and Study Program Coordinator - Bylhah Mugotitsa.
- Data used for analysis:
PRT.csv - Meta Data Generated:
authors_table.xlsxandAll samples (1).xlsx.
After cloning the repository or downloading the ZIP, you also need the data files (Data used for analysis and Meta Data Generated) in the INSPIRE-Mental-Health_Psychological_Interventions_Meta-analysis folder.
Open Rstudio then set your working directory to the INSPIRE-Mental-Health_Psychological_Interventions_Meta-analysis folder.
- Open the
Meta analysis.Rscript, and run from the beginning.