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ORIGINAL RESEARCH article

Front. Psychol.

Sec. Health Psychology

Volume 16 - 2025 | doi: 10.3389/fpsyg.2025.1618120

Questionable prospective effects on burnout and exhaustion: Simulated reanalyses of cross-lagged panel models

Provisionally accepted
  • Karolinska Institutet (KI), Solna, Sweden

The final, formatted version of the article will be published soon.

Burnout and exhaustion has been extensively studied in organizational, work, and health psychology. Studies using the cross-lagged panel models have tended to conclude, explicitly or implicitly (e.g., in the form of policy recommendations), causal prospective effects of, for example, organizational demands, job insecurity, and depression on burnout and exhaustion. However, it is well established that effects in the cross-lagged panel model may be artifactual, e.g., due to correlations with residuals and regression to the mean. Here, we scrutinized 23 previously reported prospective effects on burnout/exhaustion by fitting complementary models to data that were simulated to resemble data in the evaluated studies. With one possible exception, the previously reported prospective effects did not withstand scrutiny, i.e., they appeared to be artifactual. It is important for researchers to bear in mind that correlations, including effects in cross-lagged panel models, do not prove causality in order not to overinterpret findings. We recommend researchers to scrutinize findings from cross-lagged panel models by fitting complementary models to their data. If findings from complementary models converge, conclusions are corroborated. If, on the other hand, findings diverge, caution is advised and claims of causality, explicit or implicit, should probably be avoided.

Keywords: burnout and exhaustion, causality, Complementary models, Cross-lagged panel model, Scrutiny, simulated data, artifactual findings

Received: 29 Apr 2025; Accepted: 18 Aug 2025.

Copyright: © 2025 Sorjonen, Melin, Folke and Melin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Kimmo Sorjonen, Karolinska Institutet (KI), Solna, Sweden

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