Engaging in Risky and Impulsive Behaviors to Alleviate Distress Mediates Associations Between Intolerance of Uncertainty and Externalizing Psychopathology

Are Cyberchondria and Intolerance of Uncertainty Related to Smartphone Addiction?

Smartphones are a medium for performing online activities, and one such activity could be the compulsive online health information search - cyberchondria. This study aimed to test whether cyberchondria and intolerance of uncertainty (IU) positively predict smartphone addiction (SA), adjusted for age, gender, daily use duration, the reason for using smartphones, and symptoms of anxiety and depression. The sample consisted of 471 adults (55.2% women) from the general population without chronic diseases (Mage = 38.67). Regression analysis showed that IU was a positive predictor of SA (β = .17, p < .001), as well as cyberchondria (β = .14, p < .001), which had a unique contribution to the explanation of SA, relative to IU. Other significant predictors were average daily smartphone use and entertainment use, the latter being the strongest predictor in the model. These results revealed cyberchondria as a unique predictor of SA.

Heterogeneity in College Student's Technology-Facilitated Intimate Partner Violence Perpetration Occurring Post-Breakup: A Latent Profile Analysis

Technology-facilitated intimate partner violence (T-IPV), including social media surveillance (SMS) and cyber dating abuse (CDA), are increasingly common post-breakup experiences among college students. Although a large body of research has focused on identifying risk factors for both types of T-IPV, perpetrators of T-IPV may differ in their pattern of risk factors. Using the I³ model as a guiding framework, the current study sought to identify typologies of college students engaging in post-breakup SMS and CDA. Specifically, 710 college students' responses on self-report measures were examined for similarities in known risk factors, namely attachment anxiety, impulse control difficulties, lack of emotion regulation strategies, intolerance of uncertainty, distress tolerance, and problematic alcohol use. Three distinct perpetrator profiles emerged with attachment anxiety, alcohol use, and intolerance of uncertainty presenting as distinguishing features. Problematic alcohol use was evident in the moderate and high levels of SMS and CDA perpetration profiles. Contrary to what was expected, there appeared to be little variability in emotional regulation and impulse control abilities across the three profiles such that individuals belonging to low and high perpetration profiles did not differ in the degree to which they were able to control their impulses or access emotion regulation strategies. Results highlight the potential importance of tailoring interventions, while reducing transdiagnostic risk factors, to account for the heterogeneity in risk factors among T-IPV perpetrators.

Race moderates the impact of intolerance of uncertainty on mental health symptoms in Black and White community adults

Racism increases the amount of uncertainty in daily life, which may differentially affect the mental health of individuals from racial minority groups who score high on trait intolerance of uncertainty (IU), or the tendency to experience uncertainty as highly aversive. We examined associations between trait IU and current symptoms of common mental disorders in community samples of Black (N = 125) and White (N = 125) adults ages 18-55 who were matched on age, gender, and educational attainment. Given that data were collected between 2017 and 2021, we also examined pandemic exposure as a moderator of these associations. No mean differences emerged between Black and White adults on trait IU measured with the Intolerance of Uncertainty Scale-12 or on current psychiatric symptoms assessed with the Structured Clinical Interview for DSM-5. Trait IU was more strongly associated with current psychiatric symptoms in Black than White adults, a racial difference that dissipated following pandemic exposure. Present results extend prior work by suggesting the dispositional tendency to find uncertainty aversive is a stronger predictor of mental health symptoms in Black than White adults outside the context of pandemic-related stress. Implications of these findings for understanding the impact of racial- and pandemic-related environmental uncertainty on mental health is discussed.

Relationship between behavioral inhibition/activation system and Internet addiction among Chinese college students: The mediating effects of intolerance of uncertainty and self-control and gender differences

Background

Internet addiction is a global public health issue among college students that is associated with a range of negative outcomes. Especially the COVID-19 pandemic has forced them to shift most of their studies and life activities from offline to online, leading to a growing problem of Internet dependence and even Internet addiction. Although previous studies have indicated that the Behavioral Inhibition/Activation System (BIS/BAS) have important effects on college students' Internet addiction, the mechanisms underlying these associations and gender differences are still unclear.

Aims

The present study investigated the mediating roles of intolerance of uncertainty and self-control in the association between BIS/BAS and Internet addiction following the Interaction of Person-Affect-Cognition-Execution model. Gender differences in such associations between variables were also tested.

Method

A total of 747 Chinese college students were surveyed by using Young's Diagnostic Questionnaire for Internet Addiction, BIS/BAS Scales, the Intolerance of Uncertainty Scale and the Brief Self-Control Scale.

Results

The results from the structural equation modeling analysis showed that BIS was positively related to Internet addiction and that BAS had a negative association with Internet addiction. Moreover, intolerance of uncertainty and self-control mediated the relationships between BIS/BAS and Internet addiction. Multi-group analysis further revealed that the associations between BAS and Internet addiction and between intolerance of uncertainty and Internet addiction were stronger among the male students than among female students. The relationship between self-control and Internet addiction was greater in the female sample than in the male sample.

Conclusions

These findings extend our understanding of how BIS/BAS influence Internet addiction among college students and suggest that not only should training approaches based on intolerance of uncertainty and self-control be fully considered, but different intervention programs should be focused on gender sensitivity to maximize the intervention effect.

The relationship between adverse childhood experiences and impulsive and risky behaviors: the mediating role of positive and negative emotional motivations

BACKGROUND

Although the impact of adverse childhood experiences (ACEs) on healthy behaviors of adulthood is largely investigated, the role of these adversities in a wide variety of impulsive and risky behaviors (RBs) as well as the role of mediating variables has been rarely studied. Therefore, the present study aimed to investigate the mediating role of positive-negative emotional motivations in the relationship between ACEs and RBs.

METHODS

In a cross-sectional study, 401 adults of the general population of Kermanshah (201 individuals) and Kurdistan (200 individuals) were selected and they were assessed using the Risky, Impulsive, & Self-destructive behavior Questionnaire (RISQ) and the Childhood Trauma questionnaire (CTQ). Data were analyzed using latent profile analysis (LPA), the correlation tests and structural equation modeling.

RESULTS

The prevalence of ACEs using LPA was estimated 37.7%. There was a significant correlation between all types of child abuse (not child neglect) and RBs. Emotional motivations played a mediating role in the relationship between ACEs and RBs (RMSEA=0.07, SRMR=0.05, CFI=0.92, TFI=0.90). The proposed model could explain about 11% of the variance of emotional motivations and around 70% of the variance of RBs.

CONCLUSIONS

Considering the impact of ACEs on emotional motivations and the impact of emotional motivations on RBs, intervention on emotional motivations may help to reduce RBs in people who suffer from ACEs.

No intolerance of errors: The effect of intolerance of uncertainty on performance monitoring revisited

Errors have been conceptualized as internal forms of threat that can cause harm in unpredictable ways. An index of error processing is the error-related negativity (ERN), an event-related potential reflecting variability in the sensitivity to errors. Prior work has shown the relationship between psychopathology symptoms and the ERN is unclear, and may be moderated by intolerance of uncertainty (IU), a trait that captures how people react to unpredictability. IU includes two subfactors of prospective IU (active seeking of predictability) and inhibitory IU (behavioral paralysis). In the present study, 188 undergraduates performed an Eriksen flanker task designed to elicit the ERN, while brain activity was recorded using electroencephalography (EEG). Participants completed the Intolerance of Uncertainty Scale, Short Form (IUS-12), and other measures of anxiety, depression and worry. Total IU explained 5 % of the variance in correct-response negativity (CRN), but was not associated with the ERN in our sample. In contrast to previous findings, the IU subfactors did not predict the ERN or post-error slowing (PES), nor did total IU and depression interact to predict the ERN. Exploratory analyses also showed that total IU did not moderate the relationship between trait anxiety and the ERN. Small samples may have previously exaggerated the links between self-reported IU and the ERN. As such, further high-powered replications are required to confirm if, and how, they are related.

Intimate Partner Violence and Mental Health during Lockdown of the COVID-19 Pandemic

Background: This study took place in the context of the COVID-19 pandemic. The present research assesses the association between lockdown conditions (such as time spent at home, living environment, proximity to contamination and social contacts), mental health (including intolerance of uncertainty, anxiety and depression) and intimate partner violence within the community. This study evaluates the indirect effect of anxiety and depression on the relationship between intolerance of uncertainty and intimate partner violence (physical assault and psychological aggression). Methods: 1532 adults (80.8% of women, Mage = 35.34) were recruited from the Belgian general population through an online self-report questionnaire completed during the lockdown (from April 17 to 1 May 2020). Results: The results demonstrate that the prevalence of physical assault (including both perpetration and victimization) was significantly higher in men, whereas the prevalence of psychological aggression was significantly higher in women. Men reported significantly more violence during lockdown. Women, on the other hand, were more anxious and more intolerant of uncertainty. No difference between men and women was found for depression. Anxiety and depression significantly mediated the relationship between intolerance of uncertainty and physical assault and psychological aggression. Sex did not moderate the mediation. Conclusion: Clinical implications for public health policy are highlighted.

How is intolerance of uncertainty related to negative affect in individuals with substance use disorders? The role of the inability to control behaviors when experiencing emotional distress

We used structural equation modeling to assess the role of impaired emotional awareness and clarity (Impaired Awareness/Clarity) and inability to control behaviors when experiencing emotional distress (Inability to Control Behaviors) as an account for the relationship between intolerance of uncertainty (IU) and negative affect (NA) in individuals with Substance Use Disorders (SUDs) and healthy controls (HCs) used for comparison. One-hundred and thirty-one individuals with SUDs (42.75% female; mean age = 39.74 ± 11.83) and 131 sex-matched HCs (mean age = 40.02 ± 12.34) entered the study. Participants completed questionnaires assessing the constructs of interest. Single-group analyses aimed to identify a baseline model for each group and test the hypothesized direct/indirect relations' overall significance. Then, a multigroup analysis tested the invariance of model parameters between SUD and HC groups. The model in which IU had both direct and indirect relationships with NA through Impaired Awareness/Clarity and Inability to Control Behaviors was a good fit to the data. The indirect relationship of IU with NA through Inability to Control Behaviors was significant and moderate-sized. The relationship involving Impaired Awareness/Clarity and Inability to Control Behaviors was small-sized and significant in single group analysis only. The multigroup analysis supported the association of IU with NA through Inability to Control Behaviors in the SUD group. Overall, our study highlights the crucial role of the Inability to Control Behaviors in SUDs and suggests that its association with IU might fuel NA in this population.

Intolerance of uncertainty, rumination, post-traumatic stress symptoms and aggression during COVID-19: a serial mediation model

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic can be identified as a source of traumatic stress. Previous studies have shown that post-traumatic stress and intolerance of uncertainty are associated with aggressive behaviour.

OBJECTIVE

In the present study, we aimed to test a serial mediation model, considering rumination and post-traumatic stress symptoms (PTSS) as mediators that link intolerance of uncertainty and aggression, while controlling the confounding effect of crisis-induced health and socioeconomic stressors during the COVID-19 pandemic.

METHOD

A total of 714 participants [533 (74.6%) females, 176 (24.7%) males, aged 18-64 years (M _age = 25.16, SD _age = 9.34)] completed the following self-reported scales: Aggression Scale, COVID-19 stressors checklist, Short Version of the Intolerance of Uncertainty Scale, Impact of Event Scale with Modifications for COVID-19, and Ruminative Thought Style Questionnaire.

RESULTS

The results revealed that there was an association between intolerance of uncertainty and aggressive behaviours. Moreover, the results of serial mediation analysis showed that intolerance of uncertainty predicts aggressive behaviours via rumination and PTSS. Besides, socioeconomic stressors are significantly associated with the level of PTSS and aggression, while health stressors are not significantly association with the level of PTSS and aggression.

CONCLUSIONS

The findings provide several contributions to understand the link between intolerance of uncertainty and aggressive behaviours during the COVID-19 pandemic, and confirm the importance of early psychological intervention, especially for those who are more likely to ruminate and suffer from PTSS, to prevent aggression and violence in the long run. In addition to health-related regulations, it is important to take the social and economic aspects of the crisis into account and develop intervention strategies accordingly. Nevertheless, the limitations of cross-sectional mediation analysis in explaining causal relationships should be kept in mind, and future studies should extend these findings using longitudinal data.

What is the internal structure of intolerance of uncertainty? A network analysis approach

Intolerance of uncertainty (IU) is a transdiagnostic vulnerability factor spanning psychological disorders. Although IU has been extensively studied, its internal structure is still not fully understood. In the current study, we applied network analysis to investigate IU - as measured by the Intolerance of Uncertainty Scale-Revised (IUS-R) - in two large non-clinical samples, consisting of undergraduates (N = 1172) and community individuals (N = 1759). Network analysis revealed that feeling a general internal uncertainty aversion and the belief that things have to be planned in advance are the most central nodes in both samples. Moreover, the community analysis revealed that, in both samples, the network of IU consists of three communities referring to negative beliefs about uncertainty, behavioral reactions to uncertainty, and emotional reactions to uncertainty. Lastly, the network was highly similar in undergraduates and community individuals in terms of network similarity, global connectivity, and structure and items mean levels; only minimal-to-negligible differences were found. The way current findings expand our knowledge of the internal structure of IU, along with theoretical and clinical implications, are discussed.