Academic burnout predictors in online university students and the influence of a healthy life pattern

This study aims to identify risk and protective factors associated with the stress perceived by online university students, and to establish profiles based on healthy or unhealthy life patterns. A cross-sectional online survey was conducted on a sample of 9155 students. To determine the elements linked to academic burnout, multiple logistic regression and GLM Univariate analysis tests were performed. The results show high burnout scores for the emotional exhaustion dimension, while scores for cynicism and efficacy dimensions were moderate. However, life satisfaction and resilience scores were adequate. The element most strongly associated with stress scores was developing a healthy life pattern. According to the interaction study comparing healthy/unhealthy life patterns, having children, leading an unhealthy life pattern, and being a woman are the characteristics that further raise the risk of burnout. These results allow for academic policies to be defined accordingly and provides a guide for student support services.

Authors

Institutions

Publication Details

Journal
Journal of Health Psychology
Published
2026-01-09
DOI
https://doi.org/10.1177/13591053251399371
Citations
1
Primary Topic
Healthcare professionals’ stress and burnout
Type
article
Field-Weighted Citation Impact
46.02
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Academic burnout predictors in online university students and the influence of a healthy life pattern

Mercè Boixadós, A. Pérez-González, Teresa Guasch
1 citations
Journal of Health Psychology
Healthcare professionals’ stress and burnout
46.02
article

Academic burnout predictors in online university students and the influence of a healthy life pattern

Mercè Boixadós, A. Pérez-González, Teresa Guasch
article en
1 citations

Abstract

This study aims to identify risk and protective factors associated with the stress perceived by online university students, and to establish profiles based on healthy or unhealthy life patterns. A cross-sectional online survey was conducted on a sample of 9155 students. To determine the elements linked to academic burnout, multiple logistic regression and GLM Univariate analysis tests were performed. The results show high burnout scores for the emotional exhaustion dimension, while scores for cynicism and efficacy dimensions were moderate. However, life satisfaction and resilience scores were adequate. The element most strongly associated with stress scores was developing a healthy life pattern. According to the interaction study comparing healthy/unhealthy life patterns, having children, leading an unhealthy life pattern, and being a woman are the characteristics that further raise the risk of burnout. These results allow for academic policies to be defined accordingly and provides a guide for student support services.

Journal of Health Psychology
Universitat Oberta de Catalunya (ES)
Openalex Percentile: Top 1%
Healthcare professionals’ stress and burnout
46.02
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Academic burnout predictors in online university students and the influence of a healthy life pattern — Mercè Boixadós, A. Pérez-González, et al. · Journal of Health Psychology (2026) | TGRS Research Map | TGRS