Testing a brief, self-guided values affirmation for behavioral activation intervention during COVID-19.

This pilot study tested a single-session digital values affirmation for behavioral activation (VABA) intervention. Hypotheses predicted the VABA intervention would be more effective than an active control condition in improving mood, decreasing COVID-19 fear/worry and depressive symptoms, and promoting positively reinforcing behaviors during early weeks of the COVID-19 pandemic. Participants were a diverse sample of undergraduate students (N = 296) under a state-wide lockdown. Students were randomized to either VABA, a 10-min values clarification and affirmation task, or Control, a time- and attention-matched task. Positive and negative affects were assessed pre- and post-intervention. At next-day follow-up, positive and negative affects were reassessed, as well as past 24-h behavioral activation and depressive symptoms. Within-group increases in positive affect were observed in both conditions (VABA d = 0.39; Control d = 0.19). However, VABA produced a significantly larger increase than Control (F[2] = 3.856, p = .022, d = 0.22). At 24-h follow-up, behavioral activation, which was significantly higher in VABA versus Control (t[294] = -5.584, p < .001, d = 0.65), predicted fewer depressive symptoms (R2 change = .019, ß = -.134, p = .003). VABA is an ultra-brief intervention that appears to have acute effects on mood-enhancement and behavioral activation.

Exposure to conflicting COVID-19 information in undergraduates: Implications for pandemic-related information-seeking and concern, attention, and cognitive workload.

Objectives: To examine college students' conflicting COVID-19 information exposure, information-seeking, concern, and cognitive functioning. Participants: 179 undergraduates were recruited in March-April 2020, and 220 in September 2020 (Samples 1 and 2, respectively). Methods: Students completed the Attention Network Test, NASA Task Load Index, and COVID-related questions. Results: In Sample 1, exposure to conflicting information predicted poorer attentional performance and greater COVID-related information-seeking and concern; concern was correlated with workload. In Sample 2, conflicting information was associated with information-seeking. In Sample 1, but not Sample 2, cognitive effects of conflicting information were mediated by information-seeking and virus-related concern. Conclusions: Conflicting COVID-19 information may undermine students' cognitive functions, bearing implications for health, academic performance, and stress. Strategies for countering these effects include enhancing the clarity of institutional messaging, and tailoring course curricula and offering workshops to students, faculty, administrators, and counseling staff to augment students' capacity to comprehend and utilize COVID-related communications.

Longitudinal assessment of the sleep suicide link in Veterans: methods and study protocol.

Although sleep disruption has emerged as a theoretically consistent and empirically supported suicide risk factor, the mechanistic pathways underlying the sleep-suicide link are less understood. This paper describes the methodology of a study intended to examine longitudinal mechanisms driving the link between sleep and suicide in Veterans at elevated suicide risk. Participants will be 140 Veterans hospitalized for suicide attempt or ideation with plan and intent or those identified through the Suicide Prevention Coordinator (SPC) office as being at acute risk. After study enrollment, actigraphy and ecological momentary assessment (EMA) data will be collected for 8 weeks, with follow-up assessments occurring at 2, 4, 6, 8, and 26 weeks. Participants respond to EMA questionnaires, derived from psychometrically validated assessments targeting emotional reactivity, emotion regulation, impulsivity, suicide risk, and sleep timing constructs, five times a day. First and last daily EMA target sleep parameters including sleep quantity, quality, timing, nightmares, and nocturnal awakenings. During follow-up assessments, participants will complete self-report assessments and interviews consistent with EMA constructs and the Iowa Gambling Task. The primary outcome for aim 1 is suicide ideation severity and for the primary outcome for aim 2 is suicide behavior. Findings from this study will improve our understanding of the dynamic interactions among sleep disturbance, emotion reactivity/regulation, and impulsivity to inform conceptual Veteran sleep-suicide mechanistic models. Improved models will be critical to optimizing the precision of suicide prevention efforts that aim to intervene and mitigate risk in Veteran populations, especially during a period of acute risk.

Cardiac Vagal Control Among Community Cigarette Smokers with Low to Moderate Depressive Symptoms.

Impairments in cardiac vagal control (CVC) have been independently linked to smoking status and depression and are implicated in self-regulatory processes that may exacerbate depressive symptoms and maintain smoking behavior. Yet, few studies have examined how depressive symptoms, even at low levels, influence CVC reactivity among individuals who smoke. Investigating these relationships may provide novel insights into how depressive symptoms exacerbate existing regulatory vulnerabilities among smokers. This study investigated how depression symptoms affect CVC reactivity as a function of changing situational demands among a community sample of 60 daily adult cigarette smokers. Participants completed a mildly demanding cognitive task while physiological data was recorded. Growth curve modeling was used to examine the main and interactive effects of self-reported depressive symptoms on CVC reactivity over the course of the task. We hypothesized that greater depressive symptoms would be associated with less CVC reactivity, characterized by smaller initial reductions in CVC values and a flatter slope over time. Participants were daily smokers with mild to moderate levels of depression. Final model results, where time was specified as linear and the slope was fixed, showed no significant main or interactive effects of time and depression symptoms on CVC reactivity. Findings suggest that at low to moderate levels, depressive symptom severity is not related to patterns of CVC reactivity among adults who smoke. This is the first study to examine this relationship in this population. Future investigations that examine patterns of CVC reactivity among smokers and non-smokers with more severe depression are needed.

Associations between the late positive potential and PTSD, anxiety, and depressive symptoms among trauma-exposed undergraduates.

BACKGROUND: The late positive potential (LPP) is a neural marker of attention to emotional stimuli; dysregulations in those attentional processes might contribute to trauma-related psychopathology. Although higher LPP amplitudes to negative images have been found to be associated with anxiety symptoms, results have been mixed regarding depressive and PTSD symptoms, especially among trauma-exposed populations. Further, the relationships between the LPP to positive and neutral images and psychopathology symptoms have been underexamined. The purpose of the current study was to test the effects of image valence, and PTSD, anxiety, and depressive symptoms on LPP amplitude among trauma-exposed undergraduates. METHOD: Seventy-three trauma-exposed undergraduates viewed a series of negative, positive, and neutral images while LPPs were recorded. Self-report measures were used to assess recent PTSD, anxiety, and depressive symptoms. Hierarchical linear modeling tested valence and symptom main effects, as well as Valence by Symptom interactions on LPP amplitude. RESULTS: We found a main effect of valence such that individuals exhibited higher LPP amplitudes to negative images compared to neutral images. We also found a Valence by Depressive Symptoms interaction such that there was an inverse relationship between depressive symptoms and the LPP to neutral images but no associations between depressive symptoms and the LPP for positive or negative images. We found no main effects or interactions for anxiety and PTSD symptoms. CONCLUSION: Depressive symptoms might be related to diminished attention to neutral stimuli among trauma-exposed undergraduates. Further investigation of the relationship between the LPP and psychopathology is needed.

Lay beliefs about the causes and treatment of depression: Tests of measurement models and associations.

BACKGROUND: There is reason to expect beliefs about depression's causes and treatment to influence use of psychotherapy, but the literature is marked by theoretical, methodological, and empirical inconsistencies. This study assessed the factorial validity of measures of beliefs about depression's causes and formal treatment versus self-management. It also tested the links of causal attributions to general treatment/self-management beliefs and endorsement of specific interventions. METHODS: The revised Illness Perception Questionnaire (IPQ-R) adapted for depression was administered online to a non-patient, U.S. sample (N = 319). RESULTS: Confirmatory factor analyses yielded three causal dimensions, Environmental Stressors, Biological Factors, and Personal Attributes, and two control dimensions, (Formal) Treatment and Personal. Both models fit irrespective of whether respondents believed they had ever experienced depression. A structural equation model (SEM) showed a positive relationship for Environmental and Biological attributions, and an inverse relationship for Personal attributions, in predicting general preferences for Formal Treatment. A second SEM, focusing on specific interventions, linked Environmental causation to endorsement of psychotherapy, dietary changes, and self-help, and Biological causation to endorsement of medication and exercise, with Personal causation inversely associated with endorsement of psychotherapy. LIMITATIONS: A cross-sectional, correlational design precludes causal inferences. Potential sociocultural influences were not assessed. CONCLUSIONS: Modifications to the IPQ-R suggested by this study improved its psychometric properties, validated its distinction between Treatment and Personal Control beliefs, and supported examination of both general and specific beliefs about ways to deal with depression. Relationships linking cause and treatment beliefs warrant further investigation as potential intervention targets to increase treatment utilization.

Healthy or not? The impact of conflicting health-related information on attentional resources.

Despite its ubiquity, little is known about the impact of exposure to conflicting health information on cognitive efficiency. We hypothesized that it would reduce attentional capacity, as evidenced by (1) increased response errors during the Attention Network Test (ANT), (2) decreased efficiency of each ANT system (alerting, orienting, execute control), and (3) increased self-reported workload, (4) nutritional confusion and (5) nutritional backlash. A sample of 184 online participants were assigned randomly to read an article containing either congruent or conflicting health information. Subsequently, they completed the ANT and self-report measures of workload, nutritional confusion, and backlash at nutritional recommendations and research. Participants in the conflicting health information condition made more errors, had overall slower reaction times, and reported greater workload, nutritional confusion, and backlash. No differences were found for individual ANT systems. These findings suggest that exposure to conflicting health information can degrade attentional mechanisms responsible for accurate and prompt responding to incoming information.

Psychosocial predictors of virus and social distancing fears in undergraduate students living in a US COVID-19 "hotspot".

The COVID-19 pandemic is positioned to exact a substantial mental health toll on the global population. Heightened fears of viral contamination and fears of the negative consequences of social distancing (e.g., fears related to home confinement, fears of loneliness and isolation) might contribute to the distress caused by the pandemic. Cross-sectional data were collected from undergraduates (N = 608) residing in a U.S. pandemic "hotspot" at the time of data collection (between 7 April to 9 May, 2020). Outcome variables included viral contamination fears and social distancing fears. Predictor variables included biological sex, underlying medical vulnerability, number of recent viral symptoms, presence of positive COVID-19 test in social network, anxiety, depression, stress, emotion dysregulation, intolerance of uncertainty, body vigilance, and health anxiety. Female sex, anxiety severity, intolerance of uncertainty, and health anxiety uniquely predicted fears of viral contamination. Female sex and depression severity uniquely predicted fears of social distancing. Multiple anxiety-related vulnerabilities are potential intervention targets for reducing viral contamination fears. Depression is a potential intervention target for social distancing fears. Females might be at greater risk for both types of fears.

Anxiety, depression, and health anxiety in undergraduate students living in initial US outbreak "hotspot" during COVID-19 pandemic.

Evidence of the psychological distress associated with the COVID-19 pandemic, including depression, anxiety, and health anxiety, has been documented globally. College students are a unique sub-set of the population with consistently elevated psychological distress associated with the pandemic, and well-informed intervention is urgently needed. The current study is the first, to our knowledge, to document the effects of the COVID-19 pandemic on the mental health of undergraduates in a heavily impacted area in the United States. Cross-sectional, self-report data on psychological distress and COVID-19 exposure were collected from a racially and ethnically diverse sample of 641 undergraduates between April 7-9 May 2020. Nearly half of the students reported elevated psychological distress, including health anxiety, general anxiety, and depression. Heightened risk of psychological distress was associated with female sex, a COVID-19 case in one's immediate social network, underlying medical vulnerabilities, and recent experience of ≥3 viral symptoms. Vigilance to viral symptoms and worry about coronavirus were also factors associated with more severe psychological distress. The current study highlights some of the factors associated with a greater risk of developing psychological distress due to COVID-19 and can be used to inform the dissemination of psychological interventions.