Mann, Sarah Louise. Causal beliefs about depression as predictors of essentialist thinking and in network models. Retrieved from https://doi.org/doi:10.7282/T3M61PGP
DescriptionThis project includes two studies of causal beliefs about depression conducted in a U.S. adult sample (N = 319) via Amazon’s Mechanical Turk platform. Study 1 tested hypotheses based on essentialist theory, guided by the theoretical framework of Leventhal’s Commonsense Model (CSM) of illness cognition. Essentialist theory suggests that in the general population, biological causal beliefs about mental illnesses, including depression, frequently are associated with negative prognostic beliefs and stigmatizing attitudes. Consistent with this, findings indicated that biological causal beliefs were associated with viewing depression as more consequential and longer-lasting; contrary to hypotheses, biological attributions also predicted viewing depression as more treatable. Also counter to predictions, biological causal beliefs were inversely related to depression stigma; these relationships were partially mediated by beliefs about consequences and duration. Relationships between biological causal beliefs and stigma also were moderated by familiarity with depression, such that weaker biological attributions predicted higher levels of stigma specifically among participants who reported a history of depression. Study 2 used network analysis to model perceived interrelationships among putative causes of depression. Network models of causal beliefs were generated for the full sample and for subgroups reporting high versus low confidence in their understanding of depression (illness coherence). These models varied considerably in complexity and illuminated within-sample differences in construals of stress versus depression, beliefs about mutually maintaining factors (bidirectional relationships), and the role of biological causes in the context of other factors. Together, these studies suggest refinements to essentialist theory, avenues for future research into relationships between mental illness beliefs and stigma, and guidance for psychoeducation in depression treatment and public health messaging.