Predicting Risk-Mitigating Behaviors From Indecisiveness and Trait Anxiety: Two Cognitive Pathways to Task Avoidance

Why take the risk? Exploring the psychosocial determinants of floodwater driving

As anthropogenic climate change progresses, there is an increasing need for individuals to make appropriate decisions regarding their approach to extreme weather events. Natural hazards are involuntary risk environments (e.g., flooded roads); interaction with them cannot be avoided (i.e., a decision must be made about how to engage). While the psychological and sociocultural predictors of engagement with voluntary risks (i.e., risk situations that are sought out) are well-documented, less is known about the factors that predict engagement with involuntary risk environments. This exploratory study assessed whether mental health (depression, anxiety, and stress symptoms), personality traits, and cultural worldviews combine to predict engagement with involuntary risk, using the situation of floodwater driving. An Australian sample (N = 235) was assessed via questionnaire and scenario measures. Results were analyzed in a binomial logistic regression assessing which individual factors predicted decision-making in a proxy floodwater driving scenario. Agreeableness and gender were individually significant predictors of floodwater driving intention, and four factors (named “affect,” “progressiveness,” “insightfulness,” and “purposefulness”) were derived from an exploratory factor analysis using the variables of interest, though only two (“progressiveness” and “insightfulness”) predicted floodwater driving intention in an exploratory binomial logistic regression. The findings highlight the need for further research into the differences between voluntary and involuntary risk. The implication of cultural worldviews and personality traits in interaction with mental health indicators on risk situations is discussed.

Storms, Fires, and Bombs: Analyzing the Impact of Warning Message and Receiver Characteristics on Risk Perception in Different Hazards

In crisis communication, warning messages are key to prevent or mitigate damage by informing the public about impending risks and hazards. The present study explored the influence of hazard type, trait anxiety, and warning message on different components of risk perception. A survey examined 614 German participants (18-96 years, M = 31.64, 63.0% female) using a pre-post comparison. Participants were randomly allocated to one of five hazards (severe weather, act of violence, breakdown of emergency number, discovery of a World War II bomb, or major fire) for which they received a warning message. Four components of risk perception (perceived severity, anticipatory worry, anticipated emotions, and perceived likelihood) were measured before and after the receipt. Also, trait anxiety was assessed. Analyses of covariance of risk perception were calculated, examining the effect of warning message, trait anxiety, and hazard type while controlling for age, gender, and previous hazard experience. Results showed main effects of hazard type and trait anxiety on every component of risk perception, except for perceived likelihood. The receipt of a warning message led to a significant decrease in anticipated negative emotions. However, changes across components of risk perception, as well as hazards, were inconsistent, as perceived severity decreased while perceived likelihood and anticipatory worry increased. In addition, three interactional effects were found (perceived severity × hazard type, perceived severity × trait anxiety, and anticipated emotions × hazard type). The findings point toward differences in the processing of warning messages yet underline the importance of hazard type, as well as characteristics of the recipient.

The Threat of COVID-19 and Job Insecurity Impact on Depression and Anxiety: An Empirical Study in the USA

As the coronavirus disease 2019 pandemic causes a general concern regarding the overall mental health of employees worldwide, policymakers across nations are taking precautions for curtailing and scaling down dispersion of the coronavirus. In this study, we conceptualized a framework capturing recurring troublesome elements of mental states such as depression and general anxiety, assessing them by applying standard clinical inventory. The study explores the extent to which danger control and fear control under the Extended Parallel Processing Model (EPPM) threat impact job insecurity, with uncertainty phenomenon causing afflicting effect on the experiential nature of depression heightened by anxiety. With the aim to explore the job insecurity relationship with anxiety and depression, and measure the impact of EPPM threat, an empirical study was conducted in the United States on a sample of 347 white collar employees. Demographic data, EPPM threat, job insecurity, anxiety, and depression data were collected via a standardized questionnaire during the coronavirus disease 2019 (COVID-19) pandemic. The questionnaire consisting of multi-item scales was distributed online. All the scale items were evaluated on a 5-point Likert scale. SEM software AMOS version 23 was used to perform confirmatory factor analysis with maximum likelihood estimation. In the structural model, relationships between the threat of COVID-19, job insecurity, anxiety, and depression were assessed. The findings of the study suggest that job insecurity has a significant impact on depression and anxiety, whereas the threat of COVID-19 has a significant impact on depression. Mediating effects of job insecurity and EPPM threat impact on anxiety were not established in the study. The study contributes to the apprehension of the repercussions of major environmental disruptions on normal human functioning, and it investigates the effects of self-reported protective behaviors on risk perception. The study also explains the underlying mechanisms of coping behavior as possible antecedents to mental disorders. When subjected to stressful events, heightened psychological arousal causes physical and psychological challenges of affected employees to manifest as behavioral issues.

Variables Associated With Perceived Risk of Contracting SARS-CoV-2 Infection During the COVID-19 Pandemic Among Patients With Systemic Rheumatic Diseases

OBJECTIVE

The aim of this study was to assess patients' perceived risk of contracting SARS-CoV-2 at the peak of the pandemic in NYC in terms of their systemic rheumatic disease and medications.

METHODS

With the approval of their rheumatologists, patients were interviewed by telephone and were asked about their perceived risk of contracting SARS-CoV-2 considering their rheumatic condition and whether medications increased this risk. Patients also completed surveys assessing beliefs about medication and multidimensions of physical/mental well-being. Information about current medications and rheumatologist-initiated changes in medications during the pandemic were reported by patients and verified from medical records.

RESULTS

One hundred twelve patients (86% women; mean age, 50 years; 81% White, 15% Latino) with diverse diagnoses were enrolled. Fifty-four percent thought they were at "very much greater risk" of COVID-19 because of their rheumatic condition, and 57% thought medications "definitely" put them at greater risk. In multivariable analysis, the perception of "very much greater risk" was associated with greater belief that rheumatic disease medications were necessary, worse physical function, chronic pulmonary comorbidity, and more anxiety. In a separate model, the perception that medications "definitely" caused greater risk was associated with White race, not taking hydroxychloroquine, rheumatologists initiating change in medications, more anxiety, and taking biologics and corticosteroids.

CONCLUSIONS

Patients' perceived increased risk of contracting SARS-CoV-2 was associated with beliefs about their rheumatic disease, medications, comorbidity, and anxiety. Clinicians should be aware of patients' perceptions and foster self-management practices that will alleviate anxiety, minimize exposure to the virus, and optimize systemic rheumatic disease outcomes.

Anxiety effects on disaster precautionary behaviors: A multi-path cognitive model

Previous studies have revealed a negative relationship between anxiety and health-promoting behavior. This study identified three cognitive pathways through which anxiety operates on preparedness behaviors for terrorist attacks. Preparedness was regressed on trait anxiety, perceived threat, and self-efficacy based on data from 306 adults. Mediating paths through perceived threat (positive) and self-efficacy (negative) and an independent negative path were identified. Results suggest that the anxiety/precautionary behavior relationship is more complex than previously thought, involving multiple pathways of competing directionality. Interventions to improve disaster preparedness and thus reduce disaster-related morbidity/mortality would benefit by capitalizing on this multidimensionality.