Longitudinal correlates of learning burnout among Chinese adolescents during the COVID-19 pandemic: A cross-lagged panel network analysis.

Longitudinal correlates of learning burnout among Chinese adolescents during the COVID-19 pandemic: A cross-lagged panel network analysis.

Publication date: Sep 23, 2024

Learning burnout as a serious psychological distress problem among adolescents during the COVID-19 pandemic was investigated using the cross-lagged panel network models. A three-wave study using a sample of 11 to 18-year-olds in China was conducted, with baseline data collected in June 2020 (n = 4156) and follow-ups in December 2020 (n = 3209) and August 2021 (n = 2324). Two temporal cross-lagged panel network models were computed to analyze adolescent learning burnout over time. The predictive pathway of adolescent learning burnout demonstrates significant temporal specificity. In the early outbreak period, Positive thinking, Appreciation of life and Depression are the most influential predictive symptoms. In the normalized epidemic prevention period, Goal planning, Affect control and Positive thinking are the most influential predictive symptoms. However, during this period, the extent to which adolescent learning burnout is predicted by other symptoms in the networks is significantly reduced. The samples used in this study are not expected to be nationally representative, and therefore the generalizability of the results may be limited. These findings highlight the predictive roles of Positive thinking, Appreciation of life, and Depression in adolescent learning burnout and the importance of timely intervention on these symptoms in the early outbreak period of public health emergency similar to the COVID-19 pandemic. Findings also illustrate the essentiality of eliminate unstable factors in the school environment during the normalized epidemic prevention period.

Concepts Keywords
China Adolescent
December CLPN
June Depression
Pandemic Learning burnout
Therapy Posttraumatic growth
Resilience

Semantics

Type Source Name
disease MESH burnout
disease MESH COVID-19 pandemic
disease MESH psychological distress
disease MESH Depression
disease IDO intervention
disease MESH emergency

Original Article

(Visited 2 times, 1 visits today)