Uncertainty as an anxiety cue at high and low levels of threat
Introduction
The cognitive model of emotion proposes that emotions arise from beliefs and appraisals (i.e., cognitions) about situations and stimuli, rather than from the situations or stimuli themselves (e.g., Beck, 1976). Moreover, this model specifies that certain types of cognitions give rise to particular emotions. For example, overly negative beliefs about loss and personal degradation (e.g., “I am a failure”) lead to depression. Rigid beliefs about the importance of obeying rules and standards (e.g., “Others must not disobey me”) lead to frustration and anger. A large body of literature indicates that anxiety is associated with beliefs, perceptions, and automatic thoughts concerning threat and the perceived inability to cope with negative outcomes (Beck, Emery, & Greenberg, 1985). In fact, the tendency to overestimate threat appears to play a role in the etiology and maintenance of clinical anxiety and fear (Beck, 1976, Eysenck, 1992, Mathews, 1990, Mathews and MacLeod, 1994, Mathews and MacLeod, 2002, Williams et al., 1988). Such “catastrophic” thinking is also associated with the performance of “safety behaviors” (e.g., carrying a benzodiazepine in one's pocket) that serve as an escape from anxious feelings.
Research also suggests that intolerance of uncertainty (IU) is a cognitive feature of anxiety, worry, and mood disorders (e.g., Carleton, 2012, Carleton et al., 2012, Mahoney and McEvoy, 2012a). IU refers to a set of maladaptive beliefs about the necessity of having guarantees and the incapacity to cope with unpredictability or ambiguity (Obsessive Compulsive Cognitions Working Group, 1997). IU is considered a transdiagnostic factor that has been implicated in conditions such as generalized anxiety disorder (Dugas, Buhr, & Ladouceur, 2004), social anxiety disorder (e.g., Carleton et al., 2010, Mahoney and McEvoy, 2012b), illness anxiety (e.g., Fergus, 2013, Fergus and Bardeen, 2013), obsessive compulsive disorder (e.g., Tolin, Abramowitz, Brigidi, & Foa, 2003), and mood disorders (e.g., Carleton et al., 2012, Yook et al., 2010). A meta analysis confirmed that IU is a broad construct not specific to any particular anxiety disorder per se, nor to this class of problems as a whole; in fact, IU correlates strongly with general negative affect (Gentes & Ruscio, 2011).
Examples of IU-related cognitions include thoughts that uncertainty is bad, reflects poorly on a person, and should be avoided. IU is also associated with the tendency to perceive ambiguous situations as threatening and with difficulty functioning in uncertain or ambiguous situations (Buhr and Dugas, 2002, Krohne, 1993). Most people, for instance, are tolerant of acceptable levels of ambiguity or risk and regard many mundane activities that hold at least some implicit uncertainty as fundamentally safe. Consider, as an example, using the oven in your home. Although the probability of starting a house fire is acceptably low, it is not zero. On the other hand, someone who is less tolerant of uncertainty might explicitly focus on the uncertain aspects of the situation (even in acceptably low risk situations) and focus on the fact that there is always some risk of causing a house fire.
As with the literature on threat perception, high levels of IU are associated with the tendency to overestimate the probability of negative events (Dugas et al., 2004, Dugas et al., 2005, Koerner and Dugas, 2008, Ladouceur et al., 1997). In fact, experimentally increasing IU (e.g., by providing information about the probability of winning money in a gambling simulation) has been shown to lead to increased worry, suggesting a possible causal association between IU and symptoms of anxiety (de Bruin et al., 2006, Grenier and Ladouceur, 2004, Ladouceur et al., 2000, Rosen and Knäuper, 2009). That is, the experience of uncertainty itself serves as a threat cue for some individuals (i.e., “uncertainty based reasoning”). Findings from a study examining IU in relation to social anxiety suggested that the relationship persists independent of anxiety sensitivity, negative affect, and positive affect (Carleton et al., 2010). The extent to which peoples' levels of fear and anxiety are jointly influenced by their perception of threat and the degree to which they attend to uncertainty, however, has not been examined.
It is possible that the experience of anxiety in a given situation is the result of an interaction between one's attention to the uncertain aspects of the situation and one's perception of threat. Accordingly, the present study aimed to investigate how the experience of uncertainty might affect anxiety in situations of varying threat levels. We were also interested in the strength of urges to perform anxiety-reducing (i.e., safety seeking) behavior. We hypothesized that increasing the threat level within the situation would lead to higher ratings of anxiety and urges to perform safety behaviors. Similarly, we hypothesized that making uncertainty explicit would heighten ratings of perceived anxiety and urges to perform safety behaviors. Finally, given that existing cognitive models of anxiety favor threat perception as a key maintenance factor (e.g., Barlow, 2000, Barlow, 2002, Barlow et al., 2014, Clark, 1999), we predicted that at higher levels of threat, uncertainty would play less of a role in generating anxiety and producing urges to perform safety behaviors. Yet at lower levels of threat, we hypothesized that individuals would rely on their experience of uncertainty when judging their expected anxiety and desire to perform anxiety-reducing behaviors (i.e., “uncertainty-based reasoning”).
We elected to use a nonclinical sample for this study. The use of such a sample as an apt analogue for clinical anxiety is predicated on the assumptions that the experience of anxiety is prevalent in both clinical and non-clinical populations, is phenomenologically similar across both populations, and is associated with the same developmental and maintenance factors in clinical and nonclinical individuals. Research to date suggests that these assumptions have been met (e.g., Barlow, 2002).
Section snippets
Participants
Undergraduate volunteers (n = 373; 63.5% female) participated in the study for credit in an introductory psychology course at a large university in the southeastern United States. The group's mean age was 18.98 (SD = 1.78). The majority of participants (n = 259; 69.4%) were Caucasian, with other ethnic/racial groups represented as follows: 54 (14.5%) identified as African American, 30 (8.0%) identified as Asian, 14 (3.8%) identified as Latino/a or Hispanic, and 16 did not specify their
Threat manipulation check
To determine whether the Threat-H versions of the vignettes provoked greater perception of threat relative to Threat-L versions, we compared the threat VAS ratings for both versions of all vignettes. Independent samples t-tests and Mann–Whitney U-tests were performed to determine the significance of the differences between the two versions. Specifically, in Table 1 we report descriptive (i.e., means and standard deviations) and inferential (t) statistics, significance values (p), and effect
Discussion
Cognitive models implicate inflated threat perception and IU as variables related to the experience of emotions (e.g., anxiety; Carleton, 2012). The aim of the present study was to experimentally examine how the experience of implicit versus explicit uncertainty would affect the anticipated degree of anxiety and urge to perform safety behaviors in situations of greater and lesser threat. Overall, as predicted by the cognitive model, we observed “threat-based reasoning:” objectively threatening
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