The Feasibility and Efficacy of Warrior Health and Fitness: A 3-Month Fitness and Nutrition Program for Veterans.

INTRODUCTION: Veterans are at risk for mental and physical health problems but may not seek traditional health care services. Wellness-based interventions, including exercise and nutrition, have been associated with improvements in physical and mental health among this population. This study explores the acceptability, feasibility, and efficacy of a 3-month health and fitness program for veterans. MATERIALS AND METHODS: Participants in 2 time-based cohorts from 2019 to 2023 (cohort 1: n = 261; cohort 2: n = 256) were cleared by a physician to participate. Participants then completed a fitness test and self-reported surveys (e.g., quality of life, sleep, and pain) before and after the 3-month program. Participants were recruited to participate at one of three sites: Boston, MA Fort Myers, FL, or Tampa, FL. The 3-month program consisted of weekly, supervised group fitness and one-on-one sessions, nutritional consultations, yoga, and other wellness activities. Primary program outcomes were measured by fitness assessments, self-report surveys, program completion, and program satisfaction. Fitness assessments included measures of weight, body mass index, grip strength, waist to hip ratio, body fat, lean mass, fat mass, heart rate, and blood pressure (BP). Self-report measures included quality of life, depression, loneliness, sleep quality, pain intensity, and pain interference. RESULTS: In cohort 1, significant improvements were found for measures of weight (P = .01), left-handed grip strength (P < .01), body fat percent (P < .01), and quality of life (P < .01). In cohort 2, significant improvements were found for measures of waist:hip ratio (P = .02), right and left-handed grip strength (P < .01), body mass index (P = .02), body fat percent (P < .01), and quality of life (P = .02). For both cohorts, pain intensity (cohort 1: P = .01, cohort 2: P < .001) and pain interference (cohort 1: P = .02, cohort 2: P < .001) increased significantly. CONCLUSIONS: These data suggest that a 3-month health and fitness program for veterans is acceptable and feasible and may improve physical and mental health outcomes. Considerations for program retention and assessment completion are discussed.

Diagnosis and Treatment of Bipolar Disorder: A Review.

Importance: Bipolar disorder affects approximately 8 million adults in the US and approximately 40 million individuals worldwide. Observations: Bipolar disorder is characterized by recurrent episodes of depression and mania or hypomania. Bipolar depressive episodes are similar to major depressive episodes. Manic and hypomanic episodes are characterized by a distinct change in mood and behavior during discrete time periods. The age of onset is usually between 15 and 25 years, and depression is the most frequent initial presentation. Approximately 75% of symptomatic time consists of depressive episodes or symptoms. Early diagnosis and treatment are associated with a more favorable prognosis. Diagnosis and optimal treatment are often delayed by a mean of approximately 9 years following an initial depressive episode. Long-term treatment consists of mood stabilizers, such as lithium, valproate, and lamotrigine. Antipsychotic agents, such as quetiapine, aripiprazole, asenapine, lurasidone, and cariprazine, are recommended, but some are associated with weight gain. Antidepressants are not recommended as monotherapy. More than 50% of patients with bipolar disorder are not adherent to treatment. Life expectancy is reduced by approximately 12 to 14 years in people with bipolar disorder, with a 1.6-fold to 2-fold increase in cardiovascular mortality occurring a mean of 17 years earlier compared with the general population. Prevalence rates of metabolic syndrome (37%), obesity (21%), cigarette smoking (45%), and type 2 diabetes (14%) are higher among people with bipolar disorder, contributing to the risk of early mortality. The annual suicide rate is approximately 0.9% among individuals with bipolar disorder, compared with 0.014% in the general population. Approximately 15% to 20% of people with bipolar disorder die by suicide. Conclusions and Relevance: Bipolar disorder affects approximately 8 million adults in the US. First-line therapy includes mood stabilizers, such as lithium, anticonvulsants, such as valproate and lamotrigine, and atypical antipsychotic drugs, such as quetiapine, aripiprazole, asenapine, lurasidone, and cariprazine.

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.

Lithium plus antipsychotics or anticonvulsants for bipolar disorder: Comparing clinical response and metabolic changes.

OBJECTIVE: Patients with bipolar disorder treated with lithium often require additional antipsychotics or anticonvulsants. However, the comparative effectiveness and safety of these agents as add-on to lithium has not been studied. METHODS: This secondary analysis combined two similar 24-week trials on outpatients with bipolar disorder randomized to lithium (target serum level 0.4-0.6 mEq/L). Guideline-based adjunctive antipsychotics (Li+AP) and anticonvulsants (Li+AC) could be used if clinically indicated and was assessed at every study visit. Response was measured on the Clinical Global Impression scale and we performed adjusted mixed effects linear regression analyses. Analysis of variance tests compared metabolic measures including a binary diagnosis of metabolic syndrome before and after 24 weeks of treatment. RESULTS: Among 379 outpatients (57% female, mean age 38 years, mean Clinical Global Impression 4.4), users of Li+AP (N = 50, primarily quetiapine and aripiprazole) improved to a similar degree (mean Clinical Global Impression improvement = 1.6, standard deviation = 1.5) as those using lithium-only (i.e. without adjunctive antipsychotics or anticonvulsants, N = 149, mean Clinical Global Impression improvement = 1.7, standard deviation = 1.4) (p = 0.59). Users of Li+AC (N = 107, primarily lamotrigine and valproate, mean Clinical Global Impression improvement = 1.2, standard deviation = 1.3) and users of Li+AP+AC (N = 73, mean Clinical Global Impression improvement = 1.1, standard deviation = 1.3) showed worse response compared to lithium-only users (all p < 0.01). When comparing Li+AP to Li+AC, users of Li+AP improved slightly better on general (p = 0.05) and manic symptoms (p = 0.01), but showed a worse development of glucose, triglycerides, and metabolic syndrome. CONCLUSION: Despite treatment-by-indication confounding, these findings are relevant for real-world treatment settings and emphasize the need for randomized trials on this clinically important topic.

Evidence for Improved Cognitive Health with Diet: A Narrative Review.

Background: Despite growing interest in nutrition as a behavioral intervention to improve cognitive health in clinical populations, many providers find it challenging to provide specific nutritional recommendations. We aimed to review and synthesize current empirical research on this topic and provide considerations for healthcare providers working with adults who wish to optimize their cognition via dietary improvements. Methods: We performed a narrative review of research published between January 2009 and May 2021 on 5 popular dietary interventions: the Mediterranean diet, Dietary Approaches to Stop Hypertension (DASH), the Mediterranean-DASH Intervention Diet for Neurodegenerative Delay (MIND), the ketogenic diet and intermittent fasting. Results and Conclusions: Of the 5 dietary interventions, the Mediterranean diet has been the most extensively investigated, and there is evidence supporting its cognitive benefits. However, operationalization of the Mediterranean diet varies across studies, rendering the results inconclusive. The DASH diet and the MIND diet have stronger operationalization and showed evidence of cognitive benefits. More longitudinal studies and/or randomized clinical trials should be conducted on these 2 relatively new interventions. Finally, there is limited research with human participants regarding the ketogenic diet and intermittent fasting, which are found to be cognitively protective within stringent parameters. Definitions for these 5 dietary patterns and practice tips and recommendations are provided.

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.

Psychometric Performance of the SF-6D Quality of Life Measure in an Outpatient Population with Bipolar Disorder.

BACKGROUND: Bipolar disorder is among the top 10 causes of disability worldwide. The Short-Form Six-Dimension (SF-6D) is a frequently used measure of preference-based health-related quality of life (HRQOL). However, this measure's psychometric performance has not been tested in outpatient patients with bipolar disorder. AIMS OF THE STUDY: This study assessed the psychometric properties of the SF-6D, including convergent validity, known-groups validity, and responsiveness. METHODS: We examined convergent validity between the SF-6D and four condition-specific measures of functioning (LIFE-RIFT), life satisfaction (QLESQ), depressive symptoms (MADRS), and manic symptoms (YMRS). We used known-groups validity tests to compare the SF-6D health utility values estimated for patients in different clinical states, including depression, mania, hypomania, and recovered. We assessed the responsiveness of the SF-6D by comparing the sensitivity of the SF-6D utility values to longitudinal changes in the four condition-specific measures during the same period of time. We conducted all analyses using data from 2,627 participants in the Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) clinical trial. RESULTS: The SF-6D demonstrated moderate (0.3-0.7) convergence with the LIFE-RIFT, QLESQ, and MADRS measures. Convergence with the manic symptoms measure (YMRS) was weak (<0.3). For known-groups validity, the SF-6D distinguished the recovered state from the three symptomatic clinical states. For responsiveness, the measure did not show floor or ceiling effects. The SF-6D utility value increased when mental health improved, with a small ES of 0.3 over the 1-year period, which was comparable to the four condition-specific measures. DISCUSSION: The SF-6D demonstrated moderate convergent validity, moderate responsiveness, and it can distinguish the differences between known-groups that had been identified in literature. The SF-6D may be a suitable measure of preference-based HRQOL for patients with bipolar disorder, but caution is needed due to its lower convergence with the YMRS mania scale. LIMITATIONS: The subsample of patients in manic episode was small, which may reduce the reliability of study findings regarding this specific clinical state. In terms of generalizability, the STEP-BD study sample is based on patients who received treatment in bipolar specialty clinics affiliated with academic medical centers, which may be different from other outpatient clinics. IMPLICATIONS FOR HEALTH CARE PROVISION AND USE: The mean health utility value for patients with hypomania is significantly lower than the mean value for recovered patients. This finding emphasizes the importance of treating hypomania. IMPLICATION FOR HEALTH POLICIES: This study validates an existing approach toward generating health utility values for bipolar disorder. These utility values can be used to create quality-adjusted life years (QALYs), which are the most commonly used measure of health benefit in cost-effectiveness studies. IMPLICATIONS FOR FURTHER RESEARCH: Studies with larger samples of patients with mania are needed to study measures of health utility in this patient population.

Decreased Psychological Well-Being in Patients With Bipolar Disorder in Remission.

BACKGROUND: The goals of this study were to introduce psychological well-being as an important subject of inquiry in bipolar disorder, to compare well-being in a cohort of patients with bipolar disorder with that of a normative sample, and to assess whether common measures of well-being and mood measure empirically distinct phenomena. METHODS: Participants were outpatients with bipolar I disorder in remission (N=37) from the Enhancing Emotion Regulation in Bipolar Disorder (EERBD) study and a matched community normative sample from the Midlife in the United States (MIDUS) survey (N=6297). The Psychological Well-Being Scale (PWBS) was used to measure psychological well-being. We calculated means and SD of scores on the PWBS and evaluated the differences between the scores of the bipolar I and community samples. We also tested the association between raw and change scores in depression [Hamilton Rating Scale for Depression (HAM-D)] and eudaimonic well-being (PWBS) using Spearman correlation coefficients. RESULTS: The MIDUS survey sample (N=6297) was 48% male, with a mean age of 47 years (SD=13 y). The EERBD sample (N=37) was 27% male, with a mean age of 41 years (SD=11 y). In the bipolar sample, the baseline mean score on the HAM-D was 12.7 (SD=6.0) and the mean score on the Young Mania Rating Scale was 6.1 (SD=6.2). The baseline mean sum score on the PWBS in the normative community MIDUS sample was 100 (SD=14), while that of the bipolar I EERBD sample was 79 (SD=15) at baseline, 84 (SD=13) posttreatment, and 84 (SD=12) at the 3-month follow-up assessment. The effect sizes of the differences at all timepoints were large (Hedges g=1.42 at baseline, 1.11 at the end of treatment, and 1.06 at the 3-mo follow-up). No association was found between the PWBS and depression scores. CONCLUSIONS: Outpatients with bipolar disorder in remission demonstrated substantially impaired psychological well-being, despite low levels of depressive symptoms, compared with a normative community sample.

Web-Based Mindfulness-Based Interventions for Well-being: Randomized Comparative Effectiveness Trial.

BACKGROUND: Mindfulness can improve overall well-being by training individuals to focus on the present moment without judging their thoughts. However, it is unknown how much mindfulness practice and training are necessary to improve well-being. OBJECTIVE: The primary aim of this study was to determine whether a standard 8-session web-based mindfulness-based cognitive therapy (MBCT) program, compared with a brief 3-session mindfulness intervention, improved overall participant well-being. In addition, we sought to explore whether the treatment effects differed based on the baseline characteristics of the participants (ie, moderators). METHODS: Participants were recruited from 17 patient-powered research networks, web-based communities of stakeholders interested in a common research area. Participants were randomized to either a standard 8-session MBCT or a brief 3-session mindfulness training intervention accessed on the web. The participants were followed for 12 weeks. The primary outcome of the study was well-being, as measured by the World Health Organization-Five Well-Being Index. We hypothesized that MBCT would be superior to a brief mindfulness training. RESULTS: We randomized 4411 participants, 3873 (87.80%) of whom were White and 3547 (80.41%) of female sex assigned at birth. The mean baseline World Health Organization-Five Well-Being Index score was 50.3 (SD 20.7). The average self-reported well-being in each group increased over the intervention period (baseline to 8 weeks; model-based slope for the MBCT group: 0.78, 95% CI 0.63-0.93, and brief mindfulness group: 0.76, 95% CI 0.60-0.91) as well as the full study period (ie, intervention plus follow-up; baseline to 20 weeks; model-based slope for MBCT group: 0.41, 95% CI 0.34-0.48; and brief mindfulness group: 0.33, 95% CI 0.26-0.40). Changes in self-reported well-being were not significantly different between MBCT and brief mindfulness during the intervention period (model-based difference in slopes: -0.02, 95% CI -0.24 to 0.19; P=.80) or during the intervention period plus 12-week follow-up (-0.08, 95% CI -0.18 to 0.02; P=.10). During the intervention period, younger participants (P=.05) and participants who completed a higher percentage of intervention sessions (P=.005) experienced greater improvements in well-being across both interventions, with effects that were stronger for participants in the MBCT condition. Attrition was high (ie, 2142/4411, 48.56%), which is an important limitation of this study. CONCLUSIONS: Standard MBCT improved well-being but was not superior to a brief mindfulness intervention. This finding suggests that shorter mindfulness programs could yield important benefits across the general population of individuals with various medical conditions. Younger people and participants who completed more intervention sessions reported greater improvements in well-being, an effect that was more pronounced for participants in the MBCT condition. This finding suggests that standard MBCT may be a better choice for younger people as well as treatment-adherent individuals. TRIAL REGISTRATION: ClinicalTrials.gov NCT03844321; https://clinicaltrials.gov/ct2/show/NCT03844321.

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.

Childhood trauma and treatment outcomes during mood-stabilising treatment with lithium or quetiapine among outpatients with bipolar disorder.

BACKGROUND: Childhood trauma affects the course of mood disorders. Researchers are now considering childhood trauma as an influential factor in the treatment of mood disorders. However, the role of childhood trauma in the treatment of bipolar disorder remains understudied. METHODS: The effect of childhood trauma on treatment outcomes was evaluated among participants randomised to treatment with lithium or quetiapine in the Clinical and Health Outcomes Initiatives in Comparative Effectiveness for Bipolar Disorder (Bipolar CHOICE) study by clinician assessment. Mixed effects linear regression models were used to analyse rates of improvement in symptom severity (assessed with the Bipolar Inventory of Symptoms Scale and the Clinical Global Impression Scale for Bipolar Disorder) and functional impairment (assessed with the Longitudinal Interval Follow-up Evaluation-Range of Impaired Functioning Tool). RESULTS: A history of any childhood trauma was reported by 52.7% of the sample (N = 476). Although participants with a history of any childhood trauma presented with greater symptom severity and functional impairment at most study visits, participants with and without a history of any childhood trauma showed similar rates of improvement in symptom severity and functional impairment over the 24 weeks of treatment. CONCLUSION: This is the first study to explore the association between childhood trauma and treatment outcomes during treatment with lithium or quetiapine in the context of a randomised trial. In Bipolar CHOICE, a history of childhood trauma did not inhibit improvement in symptom severity or functional impairment. Nevertheless, these findings need replication across different settings.

Estimating the symptom structure of bipolar disorder via network analysis: Energy dysregulation as a central symptom.

Using network analysis, we estimated the structure of relations among manic and depressive symptoms, respectively, in 486 patients (59% women; age: M = 37, SD = 12.1) with bipolar disorder prior to their entering a clinical trial. We computed three types of networks: (a) Gaussian graphical models (GGMs) depicting regularized partial correlations, (b) regression-based GGMs depicting nonregularized partial correlations, and (c) directed acyclic graphs (DAGs) via a Bayesian hill-climbing algorithm. Low energy and elevated energy were consistently identified as central nodes in the GGMs and as key parent nodes in the DAGs. Across analyses, pessimism about the future and depressed mood were the symptoms most strongly associated with suicidal thoughts and behavior. These exploratory analyses provide rich information about how bipolar disorder symptoms relate to one another, thereby furnishing a foundation for investigating how bipolar disorder symptoms may operate as a causal system. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Cardiometabolic risk markers during mood-stabilizing treatment: Correlation with drug-specific effects, depressive symptoms and treatment response.

BACKGROUND: Patients with bipolar disorder have higher rates of cardiometabolic comorbidities and mortality. Although guidelines emphasize the importance of cardiovascular monitoring, few studies characterized the cardiometabolic risk profile during treatment and their relation to symptomatology and treatment response. METHODS: We analyzed data from two similar 24-weeks comparative effectiveness trials, with a combined sample of 770 participants randomized to two different lithium doses, quetiapine (300 mg/day), or standard treatment without lithium. Glucose, lipids and vital signs were measured before and after 24 weeks of treatment. We calculated several cardiovascular risk scores, assessed baseline correlations and compared the four treatment arms via multiple linear regression models. RESULTS: Higher cholesterol and LDL levels were associated with greater depression severity, showing differential correlations to specific symptoms, particularly agitation, low energy and suicidality. Those randomized to quetiapine showed a significant worsening of cardiometabolic markers during the 24-week trial. Neither baseline nor change in lipid levels correlated with differential treatment response. LIMITATIONS: Study duration was short from the perspective of cardiometabolic risk markers, and all treatment arms included patients taking adjunct antipsychotics. The trials compared quetiapine to lithium, but not to other medications known to affect similar risk factors. CONCLUSIONS: Treatment with 300 mg/day quetiapine for 24 weeks, representing a short and common dose course, resulted in increased cardiometabolic risk markers, emphasizing the importance of monitoring during mood-stabilizing treatment. The symptom-specific associations are in line with previous studies in unipolar depression, suggesting a cardiometabolic-depression link that needs to be further studied in bipolar depression.

Response and remission rates during 24 weeks of mood-stabilizing treatment for bipolar depression depending on early non-response.

BACKGROUND: We aimed to study the probability of bipolar depression response at 24 weeks given initial non-response. METHODS: We combined two multi-site, 24-week trials including similar populations following the same evidence-based guidelines randomizing patients to lithium or quetiapine. Additional mood-stabilizing treatment was possible if clinically indicated. We report cumulative proportions of response (>50% improvement in MADRS) and remission (MADRS<10). RESULTS: We included 592 participants with bipolar depression (mean 39 years, 59% female, mean MADRS 25). Among 393 (66%) participants without response after 2 weeks, 46% responded by 24 weeks; for 291 (49%) without response at 4 weeks, 40% responded and 33% remitted by 24 weeks; for 222 (38%) without a response at 6 weeks, 36% responded and 29% remitted by 24 weeks; for 185 (31%) without a response at 8 weeks, 29% responded and 24% remitted by 24 weeks. Rates were similar for participants who had started an additional mood-stabilizing drug during the first 6 or 8 weeks. CONCLUSIONS: Among patients with bipolar depression and non-response after 6 weeks treatment, representing an adequate bipolar depression trial, only one-third responded by 24 weeks. These results highlight the need for better treatment alternatives for non-responders to evidence-based treatments for bipolar depression.

Moderators of a resiliency group intervention for frontline clinicians during the COVID-19 pandemic.

BACKGROUND: To mitigate the psychological burdens of COVID-19 for frontline clinicians (FCs), we adapted an existing evidence-based resiliency program, Stress Management and Resilience Training Relaxation Response Program (SMART-3RP), for FCs. This analysis explores moderators of stress coping to determine which subgroups of FCs benefited most from SMART-3RP. METHODS: 102 FCs from Mass General Brigham hospitals engaged in the adapted SMART-3RP. Assessments were completed at group entry (Week 0) and completion (Week 4). The primary outcome was stress coping, and we examined 15 possible baseline moderators. We fit linear mixed effects regression models and assessed potential baseline moderators using a likelihood ratio test. We report model-based estimates and confidence intervals for each moderator-by-time interaction (i.e., differential effect), where positive/negative values indicate more/less improvement in average perceived stress coping. RESULTS: Stress coping improved from Week 0 to Week 4 (mean improvement [95% CI] = 0.9 [0.6 to 1.2]). FCs with higher anxiety (differential effect [95% CI] = 0.3 [0.1 to 0.4]), depression (0.4 [0.2 to 0.6]), and loneliness (0.4 [0.1 to 0.6]), but lower levels of mindfulness (CAMS-Rfocus: 1.0 [0.4 to 1.6]; CAMS-Raccept: 1.3 [0.7 to 2.0]) and self-compassion (0.4, [0.1 to 0.8]) at baseline experienced greater benefits in perceived stress coping from the SMART-3RP. Baseline health uncertainty along with sociodemographic and work characteristics did not moderate stress coping. DISCUSSION: Results highlight particular sub-populations of FCs that may benefit more from a stress management intervention, especially during emergency responses (e.g., COVID-19 pandemic).

Illness stage and predominant polarity in bipolar disorder: Correlation with burden of illness and moderation of treatment outcome.

Bipolar disorder often follows a set progression best described in stages where advanced stages are associated with poorer outcomes. Bipolar disorder is also often characterized by a predominance of episode polarity, where some individuals experience more depressive episodes (termed predominant depressive polarity) while others experience more hypo/manic episodes (termed predominant hypo/manic polarity). We examined the associations between staging and predominant polarity with measures of illness burden and treatment outcome utilizing data from a six-month comparative effectiveness trial of lithium and quetiapine in bipolar disorder (Bipolar CHOICE). We used number of self-reported lifetime mood (depressive and hypo/manic) episodes as a proxy for staging and ratio of depressive to manic episodes to define predominant polarity. Polarity and staging were correlated with several measures of burden of illness. Childhood abuse was correlated with more lifetime mood episodes, while more depressive episodes and depressive polarity were correlated with more anxiety disorder comorbidity. Depressive polarity was also correlated with more past trials of psychotropics, particularly antidepressants. However, neither staging nor predominant polarity moderated the randomized treatment effect of lithium vs. quetiapine. Number of depressive episodes in the past year was identified as a potential predictor of overall worse treatment outcome, regardless of medication condition. In conclusion, though staging and predominant episode polarity correlated with several measures of illness burden, they were not associated with differential treatment outcomes. This could be because many of our patients presented for treatment at advanced stages of illness and further highlights the need for early intervention in bipolar disorder.

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.