Refining the Allostatic Self-Efficacy Theory of Fatigue and Depression Using Causal Inference

Allostatic self-efficacy (ASE) represents a computational theory of fatigue and depression. In brief, it postulates that (i) fatigue is a feeling state triggered by a metacognitive diagnosis of loss of control over bodily states (persistently elevated interoceptive surprise); and that (ii) generalization of low self-efficacy beliefs beyond bodily control induces depression. Here, we converted ASE theory into a structural causal model (SCM). This allowed identification of empirically testable hypotheses regarding causal relationships between the variables of interest. Applying conditional independence tests to questionnaire data from healthy volunteers, we sought to identify contradictions to the proposed SCM. Moreover, we estimated two causal effects proposed by ASE theory using three different methods. Our analyses identified specific aspects of the proposed SCM that were inconsistent with the available data. This enabled formulation of an updated SCM that can be tested against future data. Second, we confirmed the predicted negative average causal effect from metacognition of allostatic control to fatigue across all three different methods of estimation. Our study represents an initial attempt to refine and formalize ASE theory using methods from causal inference. Our results confirm key predictions from ASE theory but also suggest revisions which require empirical verification in future studies.

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Publication Details

Journal
Entropy
Published
2024-12-23
DOI
https://doi.org/10.3390/e26121127
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
0.00

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article

Refining the Allostatic Self-Efficacy Theory of Fatigue and Depression Using Causal Inference

Klaas Ε. Stephan, Dina von Werder, Jakob Heinzle, Alexander J. Hess et al.
Entropy
Mental Health Research Topics
article

Refining the Allostatic Self-Efficacy Theory of Fatigue and Depression Using Causal Inference

Klaas Ε. Stephan, Dina von Werder, Jakob Heinzle, Alexander J. Hess, Olivia K. Harrison
article en

Abstract

Allostatic self-efficacy (ASE) represents a computational theory of fatigue and depression. In brief, it postulates that (i) fatigue is a feeling state triggered by a metacognitive diagnosis of loss of control over bodily states (persistently elevated interoceptive surprise); and that (ii) generalization of low self-efficacy beliefs beyond bodily control induces depression. Here, we converted ASE theory into a structural causal model (SCM). This allowed identification of empirically testable hypotheses regarding causal relationships between the variables of interest. Applying conditional independence tests to questionnaire data from healthy volunteers, we sought to identify contradictions to the proposed SCM. Moreover, we estimated two causal effects proposed by ASE theory using three different methods. Our analyses identified specific aspects of the proposed SCM that were inconsistent with the available data. This enabled formulation of an updated SCM that can be tested against future data. Second, we confirmed the predicted negative average causal effect from metacognition of allostatic control to fatigue across all three different methods of estimation. Our study represents an initial attempt to refine and formalize ASE theory using methods from causal inference. Our results confirm key predictions from ASE theory but also suggest revisions which require empirical verification in future studies.

EntropyVol. 26(12)
University of Zurich (CH), ETH Zurich (CH), Institute for Biomedical Engineering (CH), Max Planck Institute for Metabolism Research (DE), Brandenburg University of Technology Cottbus-Senftenberg (DE), University of Otago (NZ), Ludwig-Maximilians-Universität München (DE)
Marie Curie, Royal Society Te Apārangi, Universität Zürich, René und Susanne Braginsky Stiftung
Good health and well-being
Openalex Percentile: Top 70%
Mental Health Research Topics
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