Initial assessment of the feasibility and efficacy of a scalable digital CBT for generalized anxiety and associated health behaviors in a cardiovascular disease population.

Generalized anxiety disorder (GAD) is a significant yet modifiable risk factor for worse cardiovascular disease (CVD) outcomes. The treatment of GAD in an accessible manner represents an unmet need in CVD, given that patients with CVD experience numerous barriers to in-person treatment engagement. This paper presents the rationale and design for an investigation of a strategy to enhance care for patients with CVD by introducing a scalable, affordable, and system-friendly digital intervention that targets a prominent modifiable risk factor (generalized anxiety and associated worry) for negative health behaviors in CVD. In the context of a randomized clinical trial design, we describe an experimental medicine approach for evaluating the degree to which a digital cognitive behavior therapy (dCBT), relative to a waitlist control group, engages anxiety and worry outcomes in a sample of 90 adults who have experienced an acute CVD event and who have comorbid GAD symptoms. We also investigate the degree to which dCBT leads to greater changes in GAD symptoms compared to the control condition and whether reductions in these symptoms are associated with corresponding reductions in cardiac anxiety and cardiac health behaviors (including smoking, physical activity, heart-healthy diet, and medication adherence). We propose that by targeting GAD symptoms in CVD in a way that does not tax ongoing medical care provision, we have the potential to improve the uptake of effective care and address both GAD and associated health behaviors.

Underscoring the F in FoMO: How does anxiety sensitivity contribute to fear of missing out?

Fear of missing out (FoMO) is a prevalent phenomenon associated with a range of mental health symptoms, such as depression and anxiety. To our knowledge, the question of whether FoMO can be explained by other well-known mechanistic variables-namely, loneliness, rumination, and anxiety sensitivity (AS) - has not been previously evaluated. The current study investigated the predictive power of loneliness, rumination, and AS for explaining variance in FoMO within two independent samples of undergraduate students at a large Northeastern university. Participants completed an online battery of questionnaires. In Study 1, it was found that loneliness and rumination offered significant prediction of FoMO when AS was not considered in the model; however, when these three predictors were considered together, only AS offered significant, non-redundant prediction. Study 2 revealed that both rumination and AS offered significant prediction of FoMO, with AS offering stronger unique prediction. Such findings provide a new frame for understanding the nature of the relatively new concept of FoMO, and in particular, suggest that it may be important to consider AS and rumination in future studies.

Postdeployment Treatment Gap: Symptoms and Treatment Utilization Among Returning National Guard Soldiers.

This study evaluated rates of psychiatric symptoms and mental health treatment utilization among National Guard service members during the post-deployment period. National Guard service members (n=311) completed surveys assessing demographics, beliefs about mental health treatment, emotion regulation strategies, and psychiatric symptoms. Mental health treatment utilization was assessed at 6-month follow-up. Post-deployment, 41.2% of the sample had psychiatric symptoms above the clinical cut-off for at least one symptom measure. This proportion increased at follow-up (53.5%). Alcohol use disorder (AUD) symptoms showed the largest increase (d=0.66), although symptoms of depression and posttraumatic stress disorder (PTSD) also showed small magnitude increases. Among those with elevated symptoms post-deployment (n=128), only 27.8% received mental health treatment at follow-up. Severity of depression, anxiety, and PTSD were higher among those who utilized treatment. The post-deployment period is a vulnerable one. Continued efforts to understand and address barriers to treatment for this population are warranted.

Investigation of the predictive influence of personal and gubernatorial politics on COVID-19 related behaviors and beliefs.

Given the varied emotional and behavioral responses to the COVID-19 pandemic across the United States, further attention to the personal and societal influences on such responses is necessary. We investigated the predictive influence of personal political affiliation and the congruity of personal and governor political affiliation on COVID-19 emotional and behavioral responses, with specific attention to the influence of intolerance of uncertainty (IU) on emotional response. These factors were assessed in two studies of adults in the United States (N = 480, N = 272). We utilized a series of hierarchical linear and logistic regressions to assess predictors of 4 outcomes: (1) trust in governor's response to the pandemic, (2) COVID-19 related worry, and the (3) usage and (4) perceived efficacy of protective health behaviors (e.g., wearing a mask). Across these studies, we found that IU predicted increased COVID-19 related worry. Further, age and personal political affiliation, but not concordance with governor affiliation, predicted COVID-19 behavioral responses. These findings are discussed in relation to the potential importance of linking health messaging to personal characteristics.

Is Ignorance Bliss? Examining the Effect of News Media Exposure on Anxiety and Depression During the COVID-19 Pandemic.

ABSTRACT: There has been a widespread increase in affective disorders after the emergence of the COVID-19 pandemic. In the current study, we investigated the effects of exposure to and perceived accuracy of news media and demographic characteristics on anxiety and depressive symptoms. We conducted an online survey of US adults (N = 480) using hierarchical linear regression models to understand the predictive roles of duration and frequency of news media exposure, as well as the perceived accuracy of COVID-19 portrayal by the news media, on anxiety and depression. Increased exposure duration predicted greater anxiety, and decreased frequency of exposure and perceived overreaction in the news media coverage of COVID-19 were linked to greater anxiety and depression. Perceived accuracy moderated the relationship of exposure frequency to both affective outcomes. Accordingly, our data support the importance of adequate levels of accurate and trusted information to help mitigate the overall mental health burden of the pandemic.

COVID-19 vaccine acceptance: influential roles of political party and religiosity.

Given recent declines in US vaccination rates and the emergence of COVID-19 vaccines, identifying sociodemographic influencers of vaccine willingness holds importance for developing effective public health campaigns aimed at enhancing nationwide COVID-19 vaccine acceptance. The present study utilized a hierarchical binary logistic regression model to assess demographic variables (age, gender, race/ethnicity, pre-existing medical conditions), political party membership, religious affiliation, level of religiosity, and fear of COVID-19 as predictors of COVID-19 vaccine acceptance ('Yes', would receive a vaccine or 'No', would not receive a vaccine) in a national sample of US adults (N = 249). Participants were recruited from Amazon's Mechanical Turk (MTurk) and completed several online questionnaires pertaining to mental health, health behaviors, and responses to the COVID-19 pandemic. Both Democratic party membership and decreased level of religiosity predicted acceptance of a COVID-19 vaccine. This investigation supports political party membership and religiosity as influencers of COVID-19 vaccine willingness and suggests that these variables could represent potential targets for public health interventions aimed at increasing vaccine adoption.

The role of fear of COVID-19 in motivation to quit smoking and reductions in cigarette smoking: a preliminary investigation of at-risk cigarette smokers.

Preliminary data suggest that cigarette smokers could have an increased mortality risk from the novel coronavirus (SARS-CoV-2), and that certain factors (e.g., increased age, medical comorbidities) can also increase risk of poor coronavirus disease (COVID-19) outcomes. Between April 30th, 2020 and May 28th, 2020, we evaluated self-reported changes in recent smoking patterns and motivation to quit smoking among current daily cigarette smokers (N = 103) on Amazon Mechanical Turk. We also assessed the relationship of these outcomes to age, medical comorbidity status, and fear of COVID-19. Most participants (68.9%) reported smoking less frequently than usual in the last 28 days. Among daily smokers, increased fear of COVID-19 predicted increased motivation to quit smoking and actual smoking reductions (ps < .05). Endorsement of one or more medical comorbidities, but not increased age, predicted increased motivation to quit smoking (p < .05). These data suggest the potentially greater relevance of psychological factors (e.g., fear of COVID-19) over external risk factors (e.g., medical comorbidity, increased age) on motivation to quit smoking and actual reductions in smoking patterns, and may reflect that the pandemic is a suitable time for offering smoking cessation intervention.

Firearm Ownership and Capability for Suicide in Post-Deployment National Guard Service Members.

OBJECTIVE: National Guard service members demonstrate increased suicide risk relative to the civilian population. One potential mechanism for this increased risk may be familiarity with and access to firearms following deployment. This study examined the association between firearm ownership, reasons for ownership, and firearm familiarity with a widely studied suicide risk factor-capability for suicide-among National Guard service members. METHOD: Data were drawn from a cross-sectional survey of National Guard service members conducted immediately post-deployment in 2010. Service members (n = 2,292) completed measures of firearm ownership, firearm familiarity, and capability for suicide. RESULTS: Firearm ownership and increased firearm familiarity were associated with capability for suicide (d = 0.47 and r = .25, for firearm ownership and familiarity, respectively). When examined separately based on reason for ownership, owning a firearm for self-protection (d = 0.33) or owning a military weapon (d = 0.27) remained significantly associated with capability for suicide. In contrast, owning a firearm for hobby purposes did not (d = -0.07). CONCLUSION: Our findings support theories emphasizing practical aspects of suicide (e.g., three-step theory) and suggest that owning firearms, in particular for self-protection, along with familiarity using firearms may be associated with greater capability for suicide.