ArticlePloS one2026
Stress contagion in school: A multiverse analysis of social influence on school-related stress.
Article in PloS one, 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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Abstract
introductionStudies have found that behaviors, beliefs, and emotions can be socially contagious and spread between students. Qualitative research suggests that this may apply to school-related stress as well, but quantitative evidence remains limited and potentially sensitive to methodological choices. This study investigated (1) whether individual students' school-related stress is influenced by their classmates' stress, and (2) to what extent estimates of such influence vary depending on different methodological choices.
methodsPanel data from two cohorts of Swedish secondary school students (51.7% girls; Mage wave 1 = 13.0, SD = 0.18; Mage wave 2 = 16.0, SD = 0.19) were used. Data were analyzed using multiverse analysis, systematically varying the type of statistical model (unit fixed effects, lagged dependent variable, prospective cohort, and school fixed effects models), measurement of stress (continuous vs. dichotomized), operationalization of classmates' stress, sample restrictions, and control variables.
resultsOf 9,240 model specifications, approximately 80% yielded positive stress contagion effects. However, these were generally small (standardized effects: 0-0.15; odds ratios: 1-1.2) and mostly non-significant, and the size as well as sign of the effects varied substantially across model types.
conclusionsThe findings suggest that stress appears to be driven primarily by other factors that may cluster within schools or classes but that contagion per se is probably less important. Reducing school-related stress requires direct intervention focused on concrete and institutional stressors in school rather than targeting direct interpersonal stress transmission. The overall fragility of the estimated contagion effects underscores the importance of methodological transparency and systematic robustness analyses.
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