Identifying Predictors of University Students' Wellbeing during the COVID-19 Pandemic-A Data-Driven Approach.

ABSTRACT: The COVID-19 pandemic has posed risks to public mental health worldwide. University students, who are already recognised as a vulnerable population, are at elevated risk of mental health issues given COVID-19-related disruptions to higher education. To assist universities in effectively allocating resources to the launch of targeted, population-level interventions, the current study aimed to uncover predictors of university students' psychological wellbeing during the pandemic via a data-driven approach. Data were collected from 3973 Australian university students ((median age = 22, aged from 18 to 79); 70.6% female)) at five time points during 2020. Feature selection was conducted via least absolute shrinkage and selection operator (LASSO) to identify predictors from a comprehensive set o

SUBMITTER: Liu C 

PROVIDER: S-EPMC8296899 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature