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Dataset Information

Development and validation of a prediction nomogram for academic burnout among Chinese adolescents: a cross-sectional study.


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