The transdiagnostic use of worry and rumination to avoid negative emotional contrasts following negative events: A momentary assessment study

Savoring changes novel positive mindset targets of GAD treatment: Optimism, prioritizing positivity, kill-joy thinking, and worry mediation

This study analyzed effects of savoring on unstudied positive mindset targets of generalized anxiety disorder (GAD) treatment (ClinicalTrials.gov: NCT05040061). 85 students with GAD were randomly assigned to one of two ecological momentary interventions (EMIs) on smartphone for seven days. The SkillJoy EMI promoted practices for savoring positive emotions. An active control EMI mirrored SkillJoy, yet did not include savoring or positive emotion. Optimism, worry, kill-joy thinking (lessening positive emotion with cognition), and prioritization of positive emotion activities and goals were assessed at pre-trial, eighth-day, post-trial, and 30th-day follow-up. Savoring was assessed pre-trial and fifth-day mid-trial. Longitudinal linear mixed models and simple slope analyses examined change between and within conditions. Bias-corrected bootstrapping path analysis examined mediation of worry change by increased savoring. SkillJoy led to significantly greater increases in both optimism and prioritizing positivity than the control from pre-trial to post-trial and pre-trial to follow-up. Both interventions significantly reduced kill-joy thinking at both timepoints with Skilljoy leading to marginally greater change at post-trial. Pre- to mid-trial increases in savoring mediated the relationships between treatment condition and reductions in worry at both post-trial and follow-up.

Treatment condition as a moderator and change in trait mindfulness as a mediator of a brief mindfulness ecological momentary intervention for generalized anxiety disorder

BACKGROUND

Theories propose that judgment of and reactivity to inner experiences are mediators of the effect of mindfulness-based interventions on generalized anxiety disorder (GAD). However, no study has tested such theories using brief, mindfulness ecological momentary intervention (MEMI). We thus tested these theories using a 14-day MEMI versus self-monitoring app (SM) control for GAD.

METHODS

Participants (N = 110) completed self-reports of trait mindfulness (Five Facet Mindfulness Questionnaire), GAD severity (GAD-Questionnaire-IV), and trait perseverative cognitions (Perseverative Cognitions Questionnaire) at prerandomization, posttreatment, and 1-month follow-up (1MFU). Counterfactual mediation analyses with temporal precedence were conducted.

RESULTS

Improvement in pre-post mindfulness domains (acceptance of emotions, describing feelings accurately, acting with awareness, judgment of inner experience, and reactivity to inner experience) predicted pre-1MFU reduction in GAD severity and pre-1MFU reduction in trait perseverative cognitions from MEMI but not SM. MEMI reduced pre-post reactivity to inner experiences (but not other mindfulness domains) significantly more than SM. Only reduced pre-post reactivity significantly mediated stronger efficacy of MEMI over SM on pre-1MFU reductions in GAD severity (indirect effect: β = -2.970 [-5.034, -0.904], p = .008; b path: β = -3.313 [-6.350, -0.276], p = .033; percentage mediated: 30.5%) and trait perseverative cognitions (indirect effect: β = -0.153 [-0.254, -0.044], p = .008; b path: β = -0.145 [-0.260, -0.030], p = .014; percentage mediated: 42.7%). Other trait mindfulness domains were non-significant mediators.

CONCLUSIONS

Reactivity to inner experience might be a mindfulness-based intervention change mechanism and should be targeted to optimize brief MEMIs for GAD.

Sleep health and associated factors among undergraduates during the COVID-19 in China: A two-wave network analysis

Using network analysis, the current study investigated the pathways that underlie selected components of sleep health and their changes over time. Undergraduates (N = 1423; 80.60% female) completed a two-wave survey, sleep health (i.e. chronotypologies (CTs), sleep procrastination (SP), sleep quality (SQ)), psychological distress (PD), emotion regulation (ER), self-control (SC), problematic smartphone use (PSU) were measured. CTs, SP, and SQ formed a spatially contiguous pattern that remained unchanged in both waves. ER and PD node increased its strength, betweenness, and closeness in the network, while the link between the two was strengthened at T2. PSU was connected to SP, but not to CTs and SQ during both waves. In the context of the network approach, SP had the highest strength, and its associations with other dimensions of individual sleep may represent key factors in understanding the influence of exposure to the COVID-19 outbreak on sleep health.

An initial test of the contrast avoidance model in bipolar spectrum disorders

The Contrast Avoidance Model suggests that individuals sensitive to negative emotional shifts use prior increases in negative affect to prevent further escalation in response to adverse situations, while the heightened negative affect amplifies positive emotional contrasts when encountering unexpected positive events. Individuals with bipolar spectrum disorders (BSDs), characterized by shifts between (hypo)manic and depressive episodes, may undergo more salient emotional contrasts. Drawing from the Contrast Avoidance Model, the shifts from depression to (hypo)mania can be conceptualized as positive emotional contrasts, potentially heightening the perceived pleasure during (hypo)manic episodes. On the other hand, the shifts from (hypo)manic to depressive episodes can be viewed as negative emotional contrasts, contributing to the challenges associated with depressive states. Despite the intriguing potential of this interplay, the link between the Contrast Avoidance Model and BSDs has never been empirically tested. Our study addressed this gap by examining group differences in contrast avoidance traits between individuals with BSDs, unipolar depression, and healthy controls in a large cohort study (N = 536). Results indicated that individuals with BSDs exhibited significantly higher scores in the total, and Discomfort with Negative Emotional Shifts and Avoidance of Negative Emotional Contrasts/Enhancement of Positive Emotional Contrasts factors, as well as separate item scores on the Contrast Avoidance Questionnaire-General Emotion (CAQ-GE), compared to those with unipolar depression and healthy controls. Although marginal, the BD II subtype demonstrated a stronger inclination to avoid negative emotional contrasts compared to BD I. These findings suggest that contrast avoidance may be a psychological mechanism implicated in BSDs.

Introduction to a special issue on the contrast avoidance model

The current paper introduces the special issue on the Contrast Avoidance Model. The Contrast Avoidance Mmodel theorizes that chronic worriers are afraid of a sharp increase in negative emotion and/or sharp reduction in positive emotion (labeled negative emotional contrasts; NECs). They thus use perseverative thought as means to create and sustain negative emotion to prevent NECs if they were to experience negative events. Further, these individuals are uncomfortable with sustained positive emotion because it leaves them vulnerable to NECs. At the same time, worry increases the probability of positive emotional contrasts (PECs), or sharp increases in positive emotion or decreases in negative emotion when things turn out better than expected or positive events are experienced. Therefore, these individuals generate negative emotion via perseverative thought as a way to avoid NECs and increase the likelihood of PECs. The current special issue provides novel research on the model.

The Contrast Avoidance Model: Conclusion and synthesis of new research in the special issue

In this special series, new research on the Contrast Avoidance Model (CAM) was presented, including studies on the role of CAM in the maintenance of chronic worry, the incremental validity of CAM, CAM as a mediator of the association between generalized anxiety disorder (GAD) and other variables, CAM as transdiagnostic, and interpersonal behaviors as a means to avoid negative emotional contrasts (NECs). Furthermore, the role of perseverative thought in relation to positive emotional contrasts (PECs) was explored. Studies indicated that higher worry was positively and negatively reinforced, a factor that is likely to contribute to the maintenance of GAD. Further, research demonstrated that CAM contributed unique variance to understanding GAD above and beyond other variables associated with GAD, such as intolerance of uncertainty and negative problem orientation. Additional research revealed the transdiagnostic nature of contrast avoidance, as well as the association between contrast avoidance and problem-solving deficits. In addition, both worry and rumination increased the likelihood of PECs. Further, data suggested that anxious individuals may use interpersonal strategies to avoid NECs. Finally, savoring positive emotions was found to reduce contrast avoidance, providing a novel intervention strategy to address contrast avoidance in individuals with GAD.

Incremental validity of the contrast avoidance model: A comparison with intolerance of uncertainty and negative problem orientation

BACKGROUND

This study examined the incremental validity of the Contrast Avoidance Model (CAM) in predicting generalized anxiety disorder (GAD) symptoms when compared against well-established constructs in the GAD literature: intolerance of uncertainty (IU) and negative problem orientation (NPO).

METHOD

In this study, 185 students (108 of whom endorsed clinical levels of GAD symptoms) completed questionnaires to assess for all constructs. GAD symptoms were regressed on measures of contrast avoidance (CA; Contrast Avoidance-General Emotion and Contrast Avoidance-Worry Questionnaires; Llera & Newman, 2017) tendencies in addition to measures of IU and NPO in separate analyses. Commonality analyses explored the unique versus overlapping contributions of each factor in explaining GAD symptoms.

RESULTS

In all models, CA was a significant predictor after controlling for demographic variables (age, gender, race, and ethnicity) and both IU and NPO. This was also true when excluding CA items referencing worry. All variables contributed unique explanatory power in the prediction of GAD.

CONCLUSION

Results provide evidence of the incremental validity of the CAM as a model of GAD.