The Allostatic Load Hypothesis of Self-Critical Perseveration: a regulatory-cost model of self-criticism, self-compassion, and self-regulation

Self-criticism is a transdiagnostic process associated with psychopathology and poorer treatment outcome, yet the mechanisms through which it compromises self-regulation remain incompletely specified. This Hypothesis and Theory paper proposes the Allostatic Load Hypothesis of Self-Critical Perseveration (ALH-SCP). The model distinguishes adaptive evaluative self-monitoring from self-critical perseveration, defined as repetitive, negatively valenced, self-referential processing that follows a perceived discrepancy and persists without corrective updating or behavioral resolution. Drawing on self-discrepancy and control theory, the perseverative cognition hypothesis, social self-preservation theory, control-allocation models, and allostatic-load theory, with predictive-processing and perceptual control theory accounts of persistence treated as optional, the framework proposes a multiscale chain: self-relevant discrepancy leads to self-critical perseveration, which raises the cost of cognitive control and delays physiological recovery; across recurrent episodes, incomplete recovery accumulates as allostatic load, which reduces regulatory flexibility and makes subsequent control more costly, generating new discrepancies. Self-compassion is conceptualized as a regulatory recovery process that attenuates global self-evaluation, interrupts perseveration, facilitates disengagement, and preserves corrective motivation. The signature prediction of the model is impaired recovery rather than exaggerated initial reactivity. The framework specifies what would distinguish it from general perseverative cognition, negative affectivity, and perfectionism, separates its essential postulates from optional mechanisms, and generates nine core predictions and one application prediction, of which the first is a critical test of content specificity. It offers a transdiagnostic account of when and how self-criticism increases regulatory cost, without assuming that all self-criticism is maladaptive or that regulation depends on an exhaustible resource, with implications for clinical intervention and digital health design.