Evidence map›Paper›PMID 41664122›Full record

ArticleBMC psychology2026

The impact of negative life events on learning burnout among high school students: a moderated mediation model comparing left-behind and non-left-behind students.

Yanghui Dai, Zongqun Hu, Yunyi Xiao

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Article in BMC psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Yanghui DaiCollege of Education, Zhejiang Normal University, Jinhua, 321004, China.
Zongqun HuSchool of Education Science, Northwest Normal University, Lanzhou, 730070, China. 237107283@qq.com.
Yunyi XiaoCollege of Education, Zhejiang Normal University, Jinhua, 321004, China. yxiao32@zjnu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNegative life events constitute a major risk factor for learning burnout among high school students. Drawing on cognitive appraisal theory and resiliency model, this study examined life satisfaction as a mediating mechanism and psychological resilience as a moderating factor, while comparing these pathways between left-behind and non–left-behind students.

methodsA total of 1,347 high school students completed questionnaire measures assessing negative life events, life satisfaction, psychological resilience, and learning burnout. Correlation analyses, mediation analyses, and moderated mediation models were tested using SPSS 21.0 and the PROCESS macro (Version 3.5).

resultsNegative life events were positively associated with learning burnout in both left-behind (β = 0.320, p < .001) and non–left-behind students (β = 0.364, p < .001). Life satisfaction significantly mediated this association in both groups. Among left-behind students, negative life events predicted lower life satisfaction (β = −0.293, p < .001), which in turn was associated with higher learning burnout (β = −0.548, p < .001), yielding a significant indirect effect (β = 0.160, 95% CI [0.09, 0.24]) that accounted for 50.00% of the total effect. Among non–left-behind students, the indirect effect via life satisfaction was also significant but smaller (β = 0.118, 95% CI [0.08, 0.16]), accounting for 32.42% of the total effect, whereas the direct effect of negative life events on learning burnout was more pronounced (β = 0.246, p < .001). Psychological resilience moderated the association between life satisfaction and learning burnout in both groups (left-behind: β = −0.115, 95% CI [−0.17, −0.06]; non–left-behind: β = −0.094, 95% CI [−0.13, −0.06]), such that the inverse association between life satisfaction and learning burnout was stronger among students with higher psychological resilience. Notably, this moderating effect was more pronounced among left-behind adolescents than among their non–left-behind peers.

conclusionThe findings demonstrate that life satisfaction serves as a key mediating mechanism linking negative life events to learning burnout, and that psychological resilience moderates the pathway. Importantly, these mechanisms operate differently across caregiving contexts: left-behind students rely more heavily on indirect pathways through life satisfaction and benefit more from resilience-related buffering, whereas non–left-behind students are more strongly affected by the direct impact of negative life events. These results provide mechanistic evidence to inform subgroup-sensitive interventions aimed at enhancing life satisfaction and strengthening psychological resilience among high school students.

Indexed as

Burnout, PsychologicalLearningLife Change EventsPersonal SatisfactionResilience, PsychologicalStudentsAdolescentFemaleHumansMaleMediation AnalysisLearning burnoutLeft-behind high school studentsLife satisfactionNegative life eventsPsychological resilience

Identifiers

PMID41664122
PMCPMC12983560

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.