Why now and not later? An exploration into the neurocognitive correlates of delay discounting in bipolar disorder.

Increased delay discounting is evident in bipolar disorder, though there is minimal research on the factors that impact delay discounting in this population. We evaluated neurocognitive correlates of delay discounting among relatively euthymic participants with bipolar disorder (N = 76) with (n = 31) and without (n = 45) past-year substance use disorders. There were no significant differences in the mean delay discounting value between the bipolar disorder group and the comorbid bipolar disorder and past-year substance use disorders group (p = .082, Cohen's d = 0.41). Using multiple regression, we evaluated the most important predictors of the delay discounting value. Impairments in executive functioning (per number of categories completed on the Wisconsin Card Sorting Test) and visuospatial construction (per the Rey-Osterrieth Complex Figure Test Copy Raw Score), as well as decreased years of education (all ps < .05), offered the best neurocognitive characterization of increased delay discounting in this sample.

A New Treatment Program: Focused Integrated Team-based Treatment Program for Bipolar Disorder (FITT-BD).

OBJECTIVE: Bipolar disorder (BD) is complicated by a dynamic, chronic course along with multiple comorbid psychiatric and medical conditions, making it challenging for clinicians to treat and patients to thrive. To efficiently manage the complexity of BD and help patients recover, we developed a Focused Integrated Team-based Treatment Program for Bipolar Disorder (FITT-BD). The purpose of this paper is to describe how we developed this clinic and the lessons we learned. METHODS: We developed FITT-BD by integrating strategies from stepped care, collaborative care, and learning health care systems. We describe the rationale, details, and lessons learned in developing FITT-BD. RESULTS: By integrating stepped care, collaborative care, and a learning health care system approach, FITT-BD aims to reduce barriers to care, leverage the expertise of a multidisciplinary treatment team, ensure patient-centeredness, and use assessments to inform and continuously improve outcomes in real time. We learned that there are challenges in the creation of a web-based application that tracks the treatment of patients within a network of hospitals. CONCLUSIONS: The success of FITT-BD will be determined by the degree to which it can increase treatment access, improve treatment adherence, and help individuals with BD achieve their treatment goals. We expect that FITT-BD will improve outcomes in the context of ongoing clinical care. PUBLIC HEALTH SIGNIFICANCE: The treatment of BD is challenging and complex. We propose a new treatment model for BD: FITT-BD. We expect that this program will be a patient-centered approach that improves outcomes in the context of ongoing clinical care for patients with BD.

Healthy hearts healthy minds: A randomized trial of online interventions to improve physical activity.

INTRODUCTION: Depressed individuals are more likely to die from cardiovascular disease (CVD) than those without depression. People with CVD have higher rates of depression than those without and have higher mortality rates if they have comorbid depression. While physical activity (PA) improves both, few people engage in enough. We compared self-guided internet-based cognitive behavior therapy (CBT) + Fitbit or mindfulness-based cognitive therapy (MBCT) + Fitbit, with Fitbit only to increase daily steps for participants with depression who have low PA. METHODS: Adult participants (N = 340) were recruited from two online patient-powered research networks and randomized to one of three study interventions for 8 weeks with an additional 8 weeks of follow-up. Using linear mixed effects models, we evaluated the effect of the intervention on average daily steps (NCT03373110). RESULTS: Average daily steps increased 2.8 steps per day in MBCT+Fitbit, 2.9 steps/day in CBT + Fitbit, but decreased 8.2 steps/day in Fitbit Only. These changes were not statistically different between the MBCT+Fitbit and CBT + Fitbit groups, but were different from Fitbit Only across the initial 8-week period. Group differences were not maintained across follow-up. Exploratory analyses identified comorbid anxiety disorders, self-reported PA, and employment status as moderators. DISCUSSION: Changes in daily steps over both 8- and 16-week periods-regardless of intervention group-were minimal. The results emphasize the limits of using self-guided web-based psychotherapy with an activity tracker to increase PA in participants with a history of depression and low PA.

Worrying But Not Acting: The Role of Intolerance of Uncertainty in Explaining the Discrepancy in COVID-19-Related Responses.

Research indicates that Intolerance of Uncertainty (IU) is associated with COVID-19 emotional responses, but not necessarily with engaging in COVID-19 preventative behaviors. The current study was designed to further evaluate this discrepancy. Participants (N = 454) completed self-report forms about COVID-19 emotional responses (i.e., fear, worry, sensitivity to symptoms) and COVID-19 behavioral interference/responses (i.e., interference in daily activities, interference due to worry, and engagement in preventative behaviors). IU was positively associated with COVID-19-related emotional responses as well as two of the COVID-19-related behavioral interference/responses (i.e., interference in daily activities and interference due to worry), but negatively predicted engagement in COVID-19 preventative behaviors. Exploratory analyses revealed a significant indirect effect of IU on lower engagement in preventative behaviors through lower belief in the effectiveness of such behaviors. Thus, we further document the role of IU in statistically predicting higher distress but lower levels of adaptive health behaviors. Furthermore, we provide preliminary support for the hypothesis that these relationships may be explained by associations between IU and lower belief in the efficacy of health behaviors. Because some current analyses indicate small effect sizes, future studies should investigate IU alongside other potentially important markers. Supplementary Information: The online version contains supplementary material available at 10.1007/s10608-022-10321-0.

The relationship between suicidal thoughts and well-being among individuals with a history of depression and cardiovascular risk.

Prior work demonstrates a relationship between suicidal behavior and mood disorders, as well as between suicidal behavior and cardiovascular risk. When cardiovascular risk and mood disorders co-occur, people with these comorbid conditions tend to experience worse outcomes than people with only one of these conditions. As such, given the relevance of suicidal thoughts and behaviors among those with cardiovascular risk and mood disorders, suicidal thoughts and behaviors may be of particular concern in the comorbid population. However, the factors that differentiate those with or without suicidal thoughts or behaviors are unknown. Self-reported well-being is one factor that is shown to hold a relationship with suicidal risk, and may be relevant in the comorbid population. Thus, we evaluated whether different levels of well-being relate to suicidal thoughts and behaviors among individuals (N = 340) with lifetime mood disorders and cardiovascular risk who participated in a 16-week online exercise study. Participants completed self-report assessments of lifetime (per the MINI International Neuropsychiatric Interview) and current (per the Patient Health Questionnaire-9) suicidal thoughts and behaviors, as well as a self-report assessment of well-being (per the WHO-5 Well-Being Index). We found that individuals with lifetime and current suicidal thinking had lower total WHO-5 scores over the study period. These data suggest that, among those with a history of depression and who have or are at-risk for cardiovascular disease, the risk of current or lifetime suicidal thoughts and behaviors may be increased for those who experience decreased well-being.

Impaired risk avoidance in bipolar disorder and substance use disorders.

Comorbid substance use disorders are highly prevalent in bipolar disorder, and research suggests that individuals with the comorbid presentation typically have worse outcomes than individuals with bipolar disorder without this comorbidity. However, psychosocial treatments for the comorbid presentation have not demonstrated effectiveness for both mood and substance use symptom domains, suggesting novel treatments are needed. An alternative path to treatment development is to identify mechanisms that underlie comorbid bipolar disorder and substance use disorders that can subsequently be targeted in treatment. We evaluated neurocognitive markers for impairments in risk avoidance (the tendency to engage in a persistent pattern of problematic behaviors despite negative outcomes resulting from such behaviors) as potential mechanistic variables underlying negative illness outcomes in the comorbid population. Participants with bipolar disorder (n = 45) or comorbid bipolar disorder and substance use disorders (n = 31) in a relatively euthymic mood state completed clinical risk behavior assessments, task-based risk avoidance assessments, and neurocognitive assessments. Results indicated a lack of notable between-group differences in the clinical risk composite score, task-based risk avoidance assessments, and neurocognitive assessments, with the exception of self-reported executive dysfunction which was elevated among the comorbid sample. Collapsing across group, we found that increased discounting of delayed rewards, older age, and an earlier age of (hypo)mania onset predicted an increased clinical risk composite score. These findings underscore the potential importance of delay discounting as a novel mechanistic target for reducing clinical risk behaviors among individuals with bipolar disorder both with and without comorbid substance use disorders.

Stage models for major depression: Cognitive behavior therapy, mechanistic treatment targets, and the prevention of stage transition.

Stage models encourage a longitudinal perspective on the care of those with major depression: supporting vigilance to the risk for stage progression and the selection of interventions to address that risk. A central goal for this article is to evaluate the role of cognitive-behavior therapy (CBT) in addressing stage progression in the treatment of major depression. We summarize the evidence supporting depression-focused CBT for: (1) preventing depression onset, (2) treating syndromal depression, (3) treating residual symptoms, (4) preventing relapse, and (5) addressing pharmacologic treatment resistance. In addition, consistent with the goal of aiding prevention and intervention development by refining mechanistic treatment targets, we evaluate the role of two specific risk-factors for stage progression: insomnia and rumination. These risk factors have a feed-forward relationship with stress, both being amplified by stress and amplifying the negative consequences of stress. Moreover, each of these risk factors predict depression stage transmissions across multiple stages, and both are modifiable with treatment. Accordingly, insomnia and rumination appear to serve as excellent mechanistic targets for the prevention of depression stage progression. These findings are discussed in relation to current limitations and future research directions for targeting these risk factors and furthering the effective treatment of depression.

Skin conductance levels and responses in Asian and White participants during fear conditioning✰.

Fear conditioning paradigms are frequently used in the translational study of anxiety and fear-related disorders. Accordingly, it is important to understand whether the measurement of fear conditioning responses is systematically influenced by an individual's race. Studies have found increased pain sensitivity and smaller physiological startle responses in Asian individuals, compared to White individuals; to our knowledge, no studies have evaluated whether skin conductance response (SCR) outcomes differ between Asian and White individuals. In a series of secondary data analyses, we investigated potential differences in skin conductance level (SCL), orienting SCR, unconditioned SCR, SCR to CS+ and CS-, differential SCR, and differential SCR non-responder status. In sample 1, Asian participants (n = 97) demonstrated a significantly smaller mean differential SCR compared to White participants (n = 86). No other between group differences were observed. In sample 2, there was no difference in mean differential SCR between Asian (n = 52) and White (n = 62) participants, although more Asian participants failed to show adequate skin conductance levels for study entry. To our knowledge, this is the first study to evaluate differences between Asian and White samples using skin conductance outcomes in a fear conditioning paradigm. We detected only subtle evidence for SCR differences between Asian and White samples, unlikely to reach significance outside large studies.

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.

Evaluating the Interactive Effect of COVID-19 Worry and Loneliness on Mental Health Among Young Adults.

BACKGROUND: Young adults are overrepresented in terms of adverse mental health problems related to COVID-19. Emerging work has identified worry about the consequences and trajectory of COVID-19 and loneliness as important factors in mental health during the pandemic. However, the main and interactive effects of worry about COVID-19 and loneliness have not been explored in one overarching model in relation to mental health problems among young adults. METHODS: The present study therefore evaluated loneliness and COVID-19 related worry in terms of anxiety, stress, and depression among young adults (209 college students, 76.1% female, M age = 22.99 years, SD = 5.25) recruited to participate in an online survey study. RESULTS: Results indicated a significant interaction between COVID-19 worry and loneliness for each criterion variable (depression: b = .01, SE = .003, t = 2.86, p = .01; anxiety: b = .01, SE = .002, t = 2.36, p = .02; stress: b = .01, SE = .003, t = 2.54, p = .01), such that worry was more strongly related to each mental health outcome among those that endorsed higher levels of loneliness. CONCLUSION: The current findings suggest loneliness is related to negative mental health symptoms among young adults experiencing COVID-19 related worry. The current findings provide initial empirical evidence for the impact of COVID-19 worry on mental health among young adults experiencing loneliness. Future research may benefit from exploring how COVID-19 worry and loneliness interplay over time.

Do Pain-Related Anxiety and Difficulties With Emotion Regulation Impact Abstinence Expectancies or Motivation to Quit E-Cigarette Use?

OBJECTIVE: Pain-related anxiety is a psychologically based construct that is associated with tobacco dependence and may have important relevance to e-cigarette use. Difficulties with emotion regulation, a relevant construct in motives for cigarette smoking, may interact with pain-related anxiety to yield worsened clinical outcomes among e-cigarette users. We evaluated whether pain-related anxiety and difficulties with emotion regulation independently and in interaction predict e-cigarette users' expectancies surrounding abstinence and their motivation to stop using e-cigarettes. METHOD: Daily e-cigarette users (n = 290, mean age= 35.5, SD = 10.9, 56.6% male) completed an online survey about e-cigarette use. We conducted hierarchical multiple regression analyses to evaluate the main and interactive influence of pain-related anxiety and difficulties with emotion regulation on our outcomes. RESULTS: Increased pain-related anxiety independently predicted negative abstinence expectancies and increased motivation to quit e-cigarette use (ps < .001). Increased difficulties with emotion regulation predicted only negative abstinence expectancies (ps < .01) when pain-related anxiety was included in the model. The interaction between pain-related anxiety and difficulties with emotion regulation was not significant. CONCLUSIONS: As hypothesized, increased pain-related anxiety was associated with both negative expectancies of abstinence and increased motivation to quit e-cigarette use, but contrary to our hypothesis, difficulties with emotion regulation were not significantly associated with increased motivation to quit e-cigarette use when evaluated with pain-related anxiety in the model. These findings may elucidate processes influencing abstinence expectancies and motivation to quit in a sample of e-cigarette users, although replication in a larger, more diverse sample is warranted.

An online intervention for increasing physical activity in individuals with mood disorders at risk for cardiovascular disease: Design considerations.

BACKGROUND: Physical activity can mitigate the risk of cardiovascular diseases, but the presence of mood disorders makes it challenging to follow or develop a regular exercise habit. We conducted an online comparative effectiveness study (Healthy Hearts Healthy Minds) to evaluate whether an online psychosocial intervention adjunctive to an activity monitor (Fitbit) can improve adherence to physical activity among individuals with mood disorders who have or are at-risk for cardiovascular disease (CVD). METHODS: In this paper, we explore design considerations (including both procedural challenges and achievements) of relevance to our study. RESULTS: Challenges of this study included navigating a complex IRB review process, integrating two study platforms, automating study procedures, and optimizing participant engagement. Achievements of this study included building trust with collaborators, leveraging existing online communities, generating daily data reports, and conducting patient-centered research. LIMITATIONS: These design considerations are based on a single online comparative effectiveness study, and other online intervention studies may be presented with other unique challenges that are specific to their study format or aims. Consistent with some of the generalizability challenges facing other online studies, participants in this study were overall highly educated (most had at least a college degree). CONCLUSIONS: We successfully conducted a large-scale virtual online intervention to increase physical activity of participants with comorbid mood and cardiovascular disorders by overcoming substantial operational and technical challenges. We hope that this exploration of design considerations in the context of our online study can inform upcoming online intervention studies.

Pilot Study of a Brief Sleep Intervention for Suicidal Ideation in Bipolar Disorder.

OBJECTIVE: We investigated the feasibility and acceptability of a brief sleep intervention and sleep monitoring device in bipolar disorder (BD), as well as the intervention's effectiveness in reducing suicidal ideation through improved sleep quality and duration. METHODS: Participants (N=13) with BD received 4 sessions of cognitive-behavioral therapy for sleep disturbance and completed assessments of the intervention and sleep device acceptability, mood, suicidal ideation, and sleep at pretreatment and posttreatment. RESULTS: Feasibility and acceptability of the intervention were high at both pretreatment and posttreatment and did not significantly change by the intervention's conclusion, although participants reported being significantly more likely to recommend the intervention to others at posttreatment. The sleep device was easy to understand, wear, and did not interfere with participants' sleep. Suicidal ideation and depressive symptoms significantly decreased from pretreatment to posttreatment (P<0.05). There were small, but not significant, improvements in the percentage of time spent in stable sleep and total average nightly sleep. CONCLUSION: The potential of this intervention for reducing suicidal ideation and improving sleep is promising, but future research is warranted.

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.

Does anxiety sensitivity predict addiction severity in opioid use disorder?

Increased anxiety sensitivity (AS), or the fear of anxiety-related cognitive, social, and physical symptoms which are misinterpreted as having harmful implications, has shown a relationship with substance use disorders. People with substance use disorders also experience addiction-related problems across domains of life functioning. However, few studies have evaluated the relationship between elevated AS and addiction-related problems across specific life areas. We evaluated, first, whether AS predicted addiction-related problems in a sample of treatment-refractory outpatients with opioid use disorders and, second, whether sex moderated the relationship between AS and addiction-related problems in this sample. Participants with treatment-refractory opioid use disorders (n = 92, 53.3% male) completed baseline assessments of AS (the Anxiety Sensitivity Index) and addiction-related problems (the Addiction Severity Index). Baseline AS total score was a significant independent predictor of both baseline Addiction Severity Index medical status (ß = 0.29, t = 2.84, p = .006) and psychiatric status (ß = 0.30, t = 2.99, p = .004) composite scores but was not associated with social, employment or legal difficulties. These findings were maintained when controlling for drug use severity, though baseline AS total score became a significant predictor of baseline legal difficulties (ß = -0.23, t = -2.25, p = .027). There was no moderating role of sex on the relationship between baseline AS and addiction-related problems. Our findings suggest that, regardless of sex, elevated AS predicts increased addiction-related medical and psychiatric problems, and decreased legal problems when accounting for drug use severity, in outpatients with opioid use disorders.

Emotion regulation and motives for illicit drug use in opioid-dependent patients.

Refining the mechanisms behind illicit drug use is an important factor for improving the quality of clinical care. Research in alcohol, marijuana, and nicotine use disorders have linked coping motives (e.g. using substances to ameliorate negative emotional states) to problematic substance use. We evaluated the link between emotion regulation difficulties (as assessed via the difficulties in emotion regulation scale [DERS]) and motives for drug use (as assessed via the Drug Use Motives Questionnaire) among individuals (n = 68) with opioid use disorders who were in methadone maintenance treatment. We found that the DERS total score was significantly associated with coping motives for use. Nonacceptance of emotional responses was the only DERS domain that offered nonredundant prediction of coping motives. These findings highlight the relevance of specific emotion regulation deficits in motives for illicit drug use among individuals with opioid use disorders and may help inform targeted cognitive-behavioral treatments in this population.