Ontology highlight
ABSTRACT: Objectives
This study aimed to screen the potential risk factors for academic burnout among adolescents during the COVID-19 pandemic, develop and validate a predictive tool based on the risk factors for predicting academic burnout.Design
This article presents a cross-sectional study.Setting
This study surveyed two high schools in Anhui Province, China.Participants
A total of 1472 adolescents were enrolled in this study.Outcome measures
The questionnaires included demographic characteristic variables, living and learning states and adolescents' academic burnout scale. Least absolute shrinkage and selection operator and multivariate logistic regression analyses were employed to screen the risk factors for academic burnout and develop a predictive model
SUBMITTER: Ye S
PROVIDER: S-EPMC10163519 | biostudies-literature | 2023 May
REPOSITORIES: biostudies-literature