Joseph M. Trombello

Marital quality and health: A meta-analytic review

This meta-analysis reviewed 126 published empirical articles over the past 50 years describing associations between marital relationship quality and physical health in more than 72,000 individuals. Health outcomes included clinical endpoints (objective assessments of function, disease severity, and mortality; subjective health assessments) and surrogate endpoints (biological markers that substitute for clinical endpoints, such as blood pressure). Biological mediators included cardiovascular reactivity and hypothalamic-pituitary-adrenal axis activity. Greater marital quality was related to better health, with mean effect sizes from r = .07 to .21, including lower risk of mortality (r = .11) and lower cardiovascular reactivity during marital conflict (r = -.13), but not daily cortisol slopes or cortisol reactivity during conflict. The small effect sizes were similar in magnitude to previously found associations between health behaviors (e.g., diet) and health outcomes. Effect sizes for a small subset of clinical outcomes were susceptible to publication bias. In some studies, effect sizes remained significant after accounting for confounds such as age and socioeconomic status. Studies with a higher proportion of women in the sample demonstrated larger effect sizes, but we found little evidence for gender differences in studies that explicitly tested gender moderation, with the exception of surrogate endpoint studies. Our conclusions are limited by small numbers of studies for specific health outcomes, unexplained heterogeneity, and designs that limit causal inferences. These findings highlight the need to explicitly test affective, health behavior, and biological mechanisms in future research, and focus on moderating factors that may alter the relationship between marital quality and health.

Neural Correlates of Three Promising Endophenotypes of Depression: Evidence from the EMBARC Study

Major depressive disorder (MDD) is clinically, and likely pathophysiologically, heterogeneous. A potentially fruitful approach to parsing this heterogeneity is to focus on promising endophenotypes. Guided by the NIMH Research Domain Criteria initiative, we used source localization of scalp-recorded EEG resting data to examine the neural correlates of three emerging endophenotypes of depression: neuroticism, blunted reward learning, and cognitive control deficits. Data were drawn from the ongoing multi-site EMBARC study. We estimated intracranial current density for standard EEG frequency bands in 82 unmedicated adults with MDD, using Low-Resolution Brain Electromagnetic Tomography. Region-of-interest and whole-brain analyses tested associations between resting state EEG current density and endophenotypes of interest. Neuroticism was associated with increased resting gamma (36.5–44 Hz) current density in the ventral (subgenual) anterior cingulate cortex (ACC) and orbitofrontal cortex (OFC). In contrast, reduced cognitive control correlated with decreased gamma activity in the left dorsolateral prefrontal cortex (dlPFC), decreased theta (6.5–8 Hz) and alpha2 (10.5–12 Hz) activity in the dorsal ACC, and increased alpha2 activity in the right dlPFC. Finally, blunted reward learning correlated with lower OFC and left dlPFC gamma activity. Computational modeling of trial-by-trial reinforcement learning further indicated that lower OFC gamma activity was linked to reduced reward sensitivity. Three putative endophenotypes of depression were found to have partially dissociable resting intracranial EEG correlates, reflecting different underlying neural dysfunctions. Overall, these findings highlight the need to parse the heterogeneity of MDD by focusing on promising endophenotypes linked to specific pathophysiological abnormalities.

Pretreatment Rostral Anterior Cingulate Cortex Theta Activity in Relation to Symptom Improvement in Depression: A Randomized Clinical Trial

Importance Major depressive disorder (MDD) remains challenging to treat. Although several clinical and demographic variables have been found to predict poor antidepressant response, these markers have not been robustly replicated to warrant implementation in clinical care. Increased pretreatment rostral anterior cingulate cortex (rACC) theta activity has been linked to better antidepressant outcomes. However, no prior study has evaluated whether this marker has incremental predictive validity over clinical and demographic measures. Objective To determine whether increased pretreatment rACC theta activity would predict symptom improvement regardless of randomization arm. Design, Setting, and Participants A multicenter randomized clinical trial enrolled outpatients without psychosis and with chronic or recurrent MDD between July 29, 2011, and December 15, 2015 (Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care [EMBARC]). Patients were consecutively recruited from 4 university hospitals: 634 patients were screened, 296 were randomized to receive sertraline hydrochloride or placebo, 266 had electroencephalographic (EEG) recordings, and 248 had usable EEG data. Resting EEG data were recorded at baseline and 1 week after trial onset, and rACC theta activity was extracted using source localization. Intent-to-treat analysis was conducted. Data analysis was performed from October 7, 2016, to January 19, 2018. Interventions An 8-week course of sertraline or placebo. Main Outcomes and Measures The 17-item Hamilton Rating Scale for Depression score (assessed at baseline and weeks 1, 2, 3, 4, 6, and 8). Results The 248 participants (160 [64.5%] women, 88 [35.5%] men) with usable EEG data had a mean (SD) age of 36.75 (13.15) years. Higher rACC theta activity at both baseline (b = −1.05; 95% CI, −1.77 to −0.34; P = .004) and week 1 (b = −0.83; 95% CI, −1.60 to −0.06; P < .04) predicted greater depressive symptom improvement, even when controlling for clinical and demographic variables previously linked with treatment outcome. These effects were not moderated by treatment arm. The rACC theta marker, in combination with clinical and demographic variables, accounted for an estimated 39.6% of the variance in symptom change (with 8.5% of the variance uniquely attributable to the rACC theta marker). Conclusions and Relevance Increased pretreatment rACC theta activity represents a nonspecific prognostic marker of treatment outcome. This is the first study to date to demonstrate that rACC theta activity has incremental predictive validity. Trial Registration clinicaltrials.gov Identifier: NCT01407094

Psychosocial relationship status and quality as predictors of exercise intervention adherence and substance use outcomes: Results from the STRIDE (CTN-0037) study

Social/intimate relationship status and quality are associated with health-promoting behaviors, while living alone or being isolated are adversely associated with physical and mental health outcomes. Limited work has investigated how particular components of ones social environment - usual living arrangements, satisfaction with those arrangements, and global social and family discord - are related to substance use reduction and intervention adherence. We investigated these questions in 270 individuals receiving study intervention for stimulant abuse/dependence through the multi-site Stimulant Reduction Intervention using Dosed Exercise (CTN-0037) trial. Using mixed effects modeling, results indicated that individuals with baseline social discord used stimulants on more days throughout the intervention period than those without social discord (d=0.39). An interaction between gender, usual living arrangements, and satisfaction with those arrangements indicated that women who lived alone and were dissatisfied with that arrangement reported greater days of stimulant use compared to several other groups (d≥1.46). Finally, individuals who reported usually living with a non-partner over the past three years attended a greater percentage of intervention sessions compared to those usually living with a partner (d=0.34). These results identify sample subgroups with adverse stimulant use and intervention adherence outcomes and suggest areas for future inquiry/intervention.

Psychometrics of the self-report concise associated symptoms tracking scale (CAST-SR): Results from the STRIDE (CTN-0037) study

OBJECTIVE The self-report Concise Associated Symptoms Tracking Scale (CAST-SR) was developed to track mania, irritability, anxiety, panic, and insomnia symptoms among depressed outpatients receiving antidepressant medication. Given the overlap between these domains, depression, and stimulant use disorders, we reexamined CAST-SR psychometrics in a novel sample: individuals with stimulant use disorder receiving aerobic exercise or health education interventions. METHODS Using the subsample of stimulant-dependent (following DSM-IV criteria) individuals prescribed antidepressants (N = 124) from the multisite Stimulant Reduction Intervention Using Dosed Exercise (CTN-0037) trial (total sample N = 302), conducted July 2010 to February 2013, we analyzed CAST-SR data collected at the first assessment after participants discharge from residential treatment. We also evaluated the convergent/discriminant validity of the CAST-SR with several self-report questionnaires. RESULTS Confirmatory factor analysis revealed a 12-item measure composed of 4 factors: irritability, anxiety, panic, and insomnia. This factor structure loaded only in participants prescribed antidepressant medication, not in those who were not prescribed antidepressants. These results replicate the original CAST-SR factor structure, except for the mania factor, which failed to load. Internal consistency was high (α = 0.92 for total scale and α = 0.78-0.89 for the 4 factors), and convergent validity was established, especially for the insomnia and irritability factors, alongside the total score with depressive symptoms, insomnia, quality of life, suicide risk, and physical health measures. CONCLUSIONS These results demonstrate the factor structure, reliability, and validity of the CAST-SR in a novel population of only individuals with stimulant use disorders receiving both exercise/health education interventions and antidepressant medication. TRIAL REGISTRATION ClinicalTrials.gov identifier: NCT01141608.

A Novel Strategy to Identify Placebo Responders: Prediction Index of Clinical and Biological Markers in the EMBARC Trial

Background: One in three clinical trial patients with major depressive disorder report symptomatic improvement with placebo. Strategies to mitigate the effect of placebo responses have focused on modifying study design with variable success. Identifying and excluding or controlling for individuals with a high likelihood of responding to placebo may improve clinical trial efficiency and avoid unnecessary medication trials. Methods: Participants included those assigned to the placebo arm (n = 141) of the Establishing Moderators and Biosignatures for Antidepressant Response in Clinical Care (EMBARC) trial. The elastic net was used to evaluate 283 baseline clinical, behavioral, imaging, and electrophysiological variables to identify the most robust yet parsimonious features that predicted depression severity at the end of the double-blind 8-week trial. Variables retained in at least 50% of the 100 imputed data sets were used in a Bayesian multiple linear regression model to simultaneously predict the probabilities of response and remission. Results: Lower baseline depression severity, younger age, absence of melancholic features or history of physical abuse, less anxious arousal, less anhedonia, less neuroticism, and higher average theta current density in the rostral anterior cingulate predicted a higher likelihood of improvement with placebo. The Bayesian model predicted remission and response with an actionable degree of accuracy (both AUC > 0.73). An interactive calculator was developed predicting the likelihood of placebo response at the individual level. Conclusion: Easy-to-measure clinical, behavioral, and electrophysiological assessments can be used to identify placebo responders with a high degree of accuracy. Development of this calculator based on these findings can be used to identify potential placebo responders.

Pretreatment and early-treatment cortical thickness is associated with SSRI treatment response in major depressive disorder.

To date, there are no biomarkers for major depressive disorder (MDD) treatment response in clinical use. Such biomarkers could allow for individualized treatment selection, reducing time spent on ineffective treatments and the burden of MDD. In search of such a biomarker, multisite pretreatment and early-treatment (1 week into treatment) structural magnetic resonance (MR) images were acquired from 184 patients with MDD randomized to an 8-week trial of the selective serotonin reuptake inhibitor (SSRI) sertraline or placebo. This study represents a large, multisite, placebo-controlled effort to examine the association between pretreatment differences or early-treatment changes in cortical thickness and treatment-specific outcomes. For standardization, a novel, robust site harmonization procedure was applied to structural measures in a priori regions (rostral and caudal anterior cingulate, lateral orbitofrontal, rostral middle frontal, and hippocampus), chosen based on previously published reports. Pretreatment cortical thickness or volume did not significantly associate with SSRI response. Thickening of the rostral anterior cingulate cortex in the first week of treatment was associated with better 8-week responses to SSRI (p = 0.010). These findings indicate that frontal lobe structural alterations in the first week of treatment may be associated with long-term treatment efficacy. While these associational findings may help to elucidate the specific neural targets of SSRIs, the predictive accuracy of pretreatment or early-treatment structural alterations in classifying treatment remitters from nonremitters was limited to 63.9%. Therefore, in this large sample of adults with MDD, structural MR imaging measures were not found to be clinically translatable biomarkers of treatment response to SSRI or placebo.

Characterizing anxiety subtypes and the relationship to behavioral phenotyping in major depression: Results from the EMBARC study

The current study aimed to characterize the multifaceted nature of anxiety in patients with major depression by evaluating distinct anxiety factors. We then related these derived anxiety factors to performance on a Flanker Task of cognitive control, in order to further validate these factors. Data were collected from 195 patients with nonpsychotic chronic or recurrent major depression or dysthymic disorder. At baseline, participants completed self-report measures of anxiety, depression, and other related symptoms (mania, suicidality) and clinicians administered a structured diagnostic interview and the Hamilton Rating Scale for Depression, including anxiety/somatization items. Four discrete factors (State Anxiety, Panic, Neuroticism/Worry, and Restlessness/Agitation) emerged, with high degrees of internal consistency. Discriminant and convergent validity analyses also yielded findings in the expected direction. Furthermore, the neuroticism/worry factor was associated with Flanker Task interference, such that individuals higher on neuroticism/worry responded more incorrectly (yet faster) to incongruent vs. congruent trials whereas individuals higher on the fear/panic factor responded more slowly, with no accuracy effect, to the Flanker Task stimuli. These results parse anxiety into four distinct factors that encompass physiological, psychological, and cognitive components of anxiety. While state anxiety, panic and neuroticism/worry are related to existing measures of anxiety, the Restlessness/Agitation factor appears to be a unique measure of general anxious arousal. Furthermore, two factors were independently validated through the Flanker Task. These results suggest that these anxiety domains have distinct behavioral profiles and could have differential responses to distinct treatments.

A psychometric evaluation of the Concise Health Risk Tracking Self-Report (CHRT-SR)- a measure of suicidality-in patients with stimulant use disorder

Stimulant use disorders are both common and associated with suicidal ideation and attempts. The psychometric properties of the 12-item Concise Health Risk Tracking Scale Self-Report (CHRT-SR), a measure that was created to assess suicidal thinking and several factors associated with a propensity to act, has been established in persons with mood disorders. This is a secondary analysis to assess the CHRT-SR in 302 stimulant abusing patients that had participated in a clinical trial. A confirmatory factor analysis (CFA) was conducted to assess the factor validity of the 12-item CHRT-SR model with a second-order Propensity factor. The CHRT-SR total score and 2 factor scores (Propensity and Suicidal Thoughts) demonstrated acceptable internal consistency and test-retest reliabilities. These two subscales and the total score were modestly but significantly associated with measures of depression and life satisfaction, demonstrating construct validity. Two additional items assessing Impulsivity were also analyzed, and demonstrated acceptable internal consistency, test-retest reliability, and construct validity. The CHRT-SR appears to be a reliable and valid tool to assess suicidality in persons with stimulant use disorder.

Efficacy of a Behavioral Activation Teletherapy Intervention to Treat Depression and Anxiety in Primary Care VitalSign 6 Program

Objective Research analyzing behavioral activation (BA) teletherapy outcomes is limited. Among low-income real-world primary care patients receiving a brief BA teletherapy program for depression and anxiety, we analyzed descriptive statistics and changes in depression and anxiety scores throughout treatment. Methods One hundred thirty patients completed an intake assessment from June 2015 to August 2016; outcomes included the Patient Health Questionnaire-9 (PHQ-9) and the Generalized Anxiety Disorder-7 (GAD-7). Data from 74 low-income, primary care patients completing at least one therapy session were analyzed to characterize the demographics of therapy patients, to describe their depression and anxiety symptoms throughout treatment, and to examine whether patients who completed 4 or more sessions had statistically lower exit scores than those completing fewer than 4. Results Patients were moderately depressed (PHQ-9 score: mean = 14.46) and anxious (GAD-7 score: mean = 11.91) at intake. Patients were predominantly Latino/Latina (68.9%), Spanish-speaking (54.0%), and female (79.7%). The majority of patients who received at least one therapy session achieved and sustained depression remission. Patients who completed ≥ 4 therapy sessions demonstrated lower final session depression (PHQ-9: mean = 5.13, SD = 4.75) and anxiety (GAD-7: mean = 4.77, SD = 4.21) scores compared to those completing < 4 sessions (PHQ-9: mean = 8.04, SD = 6.20, P = .029; GAD-7: mean = 8.00, SD = 6.02, P = .011). Conclusions Primary care patients demonstrated improvements in depressive and anxious symptoms throughout BA-based teletherapy. BA teletherapy is feasible and associated with improved outcomes as an adjunct or alternative intervention for primary care providers and in low-income, charity populations.​.