A Randomized Controlled Trial of Community-Delivered Heated Hatha Yoga for Moderate-to-Severe Depression.

Objective: To evaluate feasibility, acceptability, and preliminary efficacy of heated yoga to treat moderate-to-severe depression.Design: An 8-week randomized controlled trial (RCT) of heated yoga versus waitlist control was conducted from March 2017 to August 2019.Methods: Participants in the yoga condition were asked to attend heated yoga classes at 2 community heated yoga studios at least twice weekly. We assessed acceptability and feasibility using exit interview and attendance data, respectively. The primary intervention efficacy outcome variable was change in the Inventory of Depressive Symptomatology-Clinician Rated (IDS-CR) score from baseline to post-intervention (week 8).Results: We randomized 80 participants and included 65 (mean [± SD] age 32.7 [± 11.7] years; 81.5% female) in the analyses (yoga n = 33, waitlist n = 32). The mean IDS-CR score at baseline was 35.6 (± 7.9) for the full sample, 36.9 (± 8.8) for yoga participants, and 34.4 (± 6.7) for waitlist participants. Participants attended an average of 10.3 (± 7.1) total classes over the 8-week intervention period. Yoga participants had a significantly greater pre- to post-intervention reduction in IDS-CR scores than waitlist participants (Cohen d = 1.04, P < .001). More yoga participants (59.3%; n = 16) than waitlist participants (6.3%; n = 2) evidenced larger treatment responses (IDS-CR ≥ 50% decrease in symptoms). Participants rated the heated yoga and its aftereffects positively in exit interviews.Conclusions: Approximately 1 heated yoga session per week (mean of 10.3 classes over 8 weeks) was associated with significantly greater reduction in depression symptoms than a waitlist control. Participants rated heated yoga positively. Taken together, results suggest feasibility, acceptability, and preliminary efficacy for patients with depression and warrant further research using active control conditions.Trial Registration: ClinicalTrials.gov identifier: NCT02607514.

Suicide Attempts and Ideation Among Veterans/Service Members and Non-Veterans Over 5 Years Following Traumatic Brain Injury: A Combined NIDILRR and VA TBI Model Systems Study.

OBJECTIVE: This study compared rates of suicide attempt (SA) and suicidal ideation (SI) during the first 5 years after traumatic brain injury (TBI) among veterans and service members (V/SMs) in the Veterans Affairs (VA) and the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR) Model Systems National Databases to each other and to non-veterans (non-Vs) in the NIDILRR database. SETTING: Twenty-one NIDILRR and 5 VA TBI Model Systems (TBIMS) inpatient rehabilitation facilities in the United States. PARTICIPANTS: Participants with TBI were discharged from rehabilitation alive, had a known military status recorded (either non-V or history of military service), and successful 1-, 2-, and/or 5-year follow-up interviews completed between 2009 and 2021. The year 1 cohort included 8737 unique participants (8347 with SA data and 3987 with SI data); the year 2 (7628 participants) and year 5 (4837 participants) cohorts both had similar demographic characteristics to the year 1 cohort. DESIGN: Longitudinal design with data collected across TBIMS centers at 1, 2, and 5 years post-injury. MAIN OUTCOMES AND MEASURES: History of SA in past year and SI in past 2 weeks assessed by the Patient Health Questionnaire-9 (PHQ-9). Patient demographics, injury characteristics, and rehabilitation outcomes were also assessed. RESULTS: Full sample rates of SA were 1.9%, 1.5%, and 1.6%, and rates of SI were 9.6%, 10.1%, and 8.7% (respectively at years 1, 2, and 5). There were significant differences among groups based on demographic, injury-related, mental/behavioral health, and functional outcome variables. Characteristics predicting SA/SI related to mental health history, substance use, younger age, lower functional independence, and greater levels of disability. CONCLUSIONS: Compared with participants with TBI in the NIDILRR system, higher rates of SI among V/SMs with TBI in the VA system appear associated with risk factors observed within this group, including mental/behavioral health characteristics and overall levels of disability.

Rising early warning signals in affect associated with future changes in depression: a dynamical systems approach.

BACKGROUND: Predicting future states of psychopathology such as depressive episodes has been a hallmark initiative in mental health research. Dynamical systems theory has proposed that rises in certain 'early warning signals' (EWSs) in time-series data (e.g. auto-correlation, temporal variance, network connectivity) may precede impending changes in disorder severity. The current study investigates whether rises in these EWSs over time are associated with future changes in disorder severity among a group of patients with major depressive disorder (MDD). METHODS: Thirty-one patients with MDD completed the study, which consisted of daily smartphone-delivered surveys over 8 weeks. Daily positive and negative affect were collected for the time-series analyses. A rolling window approach was used to determine whether rises in auto-correlation of total affect, temporal standard deviation of total affect, and overall network connectivity in individual affect items were predictive of increases in depression symptoms. RESULTS: Results suggested that rises in auto-correlation were significantly associated with worsening in depression symptoms (r = 0.41, p = 0.02). Results indicated that neither rises in temporal standard deviation (r = -0.23, p = 0.23) nor in network connectivity (r = -0.12, p = 0.59) were associated with changes in depression symptoms. CONCLUSIONS: This study more rigorously examines whether rises in EWSs were associated with future depression symptoms in a larger group of patients with MDD. Results indicated that rises in auto-correlation were the only EWS that was associated with worsening future changes in depression.

Using Machine Learning to Examine Suicidal Ideation After Traumatic Brain Injury: A Traumatic Brain Injury Model Systems National Database Study.

OBJECTIVE: The aim of the study was to predict suicidal ideation 1 yr after moderate to severe traumatic brain injury. DESIGN: This study used a cross-sectional design with data collected through the prospective, longitudinal Traumatic Brain Injury Model Systems network at hospitalization and 1 yr after injury. Participants who completed the Patient Health Questionnaire-9 suicide item at year 1 follow-up ( N = 4328) were included. RESULTS: A gradient boosting machine algorithm demonstrated the best performance in predicting suicidal ideation 1 yr after traumatic brain injury. Predictors were Patient Health Questionnaire-9 items (except suicidality), Generalized Anxiety Disorder-7 items, and a measure of heavy drinking. Results of the 10-fold cross-validation gradient boosting machine analysis indicated excellent classification performance with an area under the curve of 0.882. Sensitivity was 0.85 and specificity was 0.77. Accuracy was 0.78 (95% confidence interval, 0.77-0.79). Feature importance analyses revealed that depressed mood and guilt were the most important predictors of suicidal ideation, followed by anhedonia, concentration difficulties, and psychomotor disturbance. CONCLUSIONS: Overall, depression symptoms were most predictive of suicidal ideation. Despite the limited clinical impact of the present findings, machine learning has potential to improve prediction of suicidal behavior, leveraging electronic health record data, to identify individuals at greatest risk, thereby facilitating intervention and optimization of long-term outcomes after traumatic brain injury.

Omega-3 Fatty Acids for Major Depressive Disorder With High Inflammation: A Randomized Dose-Finding Clinical Trial.

Objective: This study compared the impact of 3 eicosapentaenoic acid (EPA) doses versus placebo on inflammatory biomarkers and depressive symptoms.Methods: Sixty-one unmedicated adults (75% female; 45.5 ± 13.8 years) with DSM-5 major depressive disorder (MDD), body mass index > 25 kg/m2, and plasma high-sensitivity C-reactive protein (hs-CRP) ≥ 3.0 mg/L were randomly assigned to receive EPA 1 g/d, 2 g/d, or 4 g/d or placebo for 12 weeks. Prespecified endpoints were a ≥ 0.40 effect size decrease in plasma interleukin (IL)-6, peripheral blood mononuclear cell (PBMC) cytokines, and lipopolysaccharide-stimulated tumor necrosis factor (TNF) production. Response was defined as a ≥ 50% decrease of Inventory of Depressive Symptomatology, Clinician-Rated version (IDS-C30) scores. We compared outcomes for the 3 EPA doses versus placebo.Results: In 45 completers, only median PBMC TNF decreased at 2 g/d EPA. No EPA dose produced a ≥ 0.35 effect size reduction in plasma IL-6 or mitogen-stimulated TNF. Response rates for EPA 4 g/d were 64%, versus 40% for placebo (odds ratio [OR] = 2.63; Cohen d = 0.53), 38% for EPA 1 g/d, and 36% for EPA 2 g/d (all P > .05). EPA 4 g/d showed a significant correlation between percent decrease in plasma hs-CRP and IDS-C30 symptom reduction at 12 weeks (Spearman ρ = 0.691, P = .019).Conclusions: EPA 4 g/d demonstrated a medium effect size for response rates versus placebo. This dose may alleviate MDD in overweight individuals with elevated inflammatory markers, and change in hs-CRP may be correlated with clinical response.Trial Registration: ClinicalTrials.gov identifier: NCT02553915.

Relations Among Suicidal Ideation, Depressive Symptoms, and Functional Independence During the 10 Years After Traumatic Brain Injury: A Model Systems Study.

OBJECTIVE: To investigate relative causality in relations among suicidal ideation (SI), depressive symptoms, and functional independence over the first 10 years after traumatic brain injury (TBI). DESIGN: Prospective longitudinal design with data collected through the Traumatic Brain Injury Model Systems (TBIMS) network at acute rehabilitation hospitalization as well as 1, 2, 5, and 10 years after injury. SETTING: United States Level I/II trauma centers and inpatient rehabilitation centers with telephone follow-up. PARTICIPANTS: Individuals enrolled into the TBIMS National Database (N=9539) with at least 1 SI score at any follow-up data collection (72.1% male; mean age, 39.39y). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Patient Health Questionnaire-9 and FIM at years 1, 2, 5, and 10 post injury. RESULTS: A cross-lagged panel structural equation model, which is meant to indirectly infer causality through longitudinal correlational data, suggested that SI, depressive symptoms, and functional independence each significantly predicted themselves over time. Within the model, bivariate correlations among variables were all significant within each time point. Between years 1 and 2 and between years 2 and 5, depressive symptoms had a larger effect on SI than SI had on depressive symptoms. Between years 5 and 10, there was reciprocal causality between the 2 variables. Functional independence more strongly predicted depressive symptoms than the reverse between years 1 and 2 as well as years 2 and 5, but its unique effects on SI over time were extremely marginal or absent after controlling for depressive symptoms. CONCLUSIONS: A primary goal for rehabilitation and mental health providers should be to monitor and address elevated symptoms of depression as quickly as possible before they translate into SI, particularly for individuals with TBI who have reduced functional independence. Doing so may be a key to breaking the connection between low functional independence and SI.

Identifying group-based patterns of suicidal ideation over the first 10 years after moderate-to-severe TBI.

OBJECTIVE: To identify group-based patterns in suicidal ideation (SI) over the first 10 years after traumatic brain injury (TBI). METHODS: Participants included 9539 individuals in the TBI Model Systems National Database who responded to Patient Health Questionnaire-9 Item 9 assessing SI at 1, 2, 5, and/or 10 years post-injury. A k-means cluster analysis was conducted to determine group-based patterns of SI, and pre-injury variables were compared with ANOVAs and chi-square tests. RESULTS: SI and attempts decreased over time. Four group-based patterns emerged: Low, increasing, moderate, and decreasing SI. The low SI group comprised 89% of the sample, had the highest pre-injury employment, fewer mental health vulnerabilities, least severe injuries, and were oldest. The increasing SI group had the most severe TBIs, were youngest, and disproportionately Black or Asian/Pacific Islander. CONCLUSION: These findings reinforce the importance of mental health and suicide risk assessment during chronic recovery from TBI.

A Patient With Electroconvulsive Therapy-resistant Major Depressive Disorder With a Full Response to Heated Yoga: A Case Report.

Depression remains difficult to treat as a result of less than optimal efficacy and troublesome side effects of antidepressants. The authors present the case of a patient with treatment-resistant depression with melancholic features who had previously been unresponsive to electroconvulsive therapy (ECT) plus an antidepressant regimen but whose condition fully remitted with the addition of a standardized form of heated hatha yoga (HY; Bikram yoga) practiced in a room heated to 105°F. The patient was a 28-year-old woman who underwent 8 weeks of HY as part of a randomized controlled trial of HY for depression while continuing her antidepressant treatment. The patient was asked to attend a minimum of 2 weekly, 90-minute HY classes. After 8 weeks (12 classes in total), the patient no longer met the criteria for a major depressive episode with melancholic features, per Mini-International Neuropsychiatric Interview (MINI) criteria. Her depressive symptoms had improved dramatically, with Inventory of Depressive Symptomatology, Clinician-Rated (IDS-C30), and Hamilton Depression Rating Scale (HAM-D28) scores decreasing from 28 at baseline to 3, and from 28 at baseline to 4, respectively, indicating remission. This patient's ECT-resistant depression remitted with the addition of HY to her antidepressant regimen. Because of her youth and athleticism, this patient was likely well suited to this rigorous form of yoga. Further research is needed to explore HY as a potential intervention for treatment-resistant depression.

Transitioning From In-Person to Remote Clinical Research on Depression and Traumatic Brain Injury During the COVID-19 Pandemic: Study Modifications and Preliminary Feasibility From a Randomized Controlled Pilot Study.

BACKGROUND: Telehealth has provided many researchers, especially those conducting psychosocial research, with the tools necessary to transition from in-person to remote clinical trials during the COVID-19 pandemic. A growing body of research supports the effectiveness of telemental health for a variety of psychiatric conditions, but few studies have examined telemental health for individuals with comorbid medical diagnoses. Furthermore, little is known about the remote implementation of clinical trials examining telemental health interventions. OBJECTIVE: This paper outlines the procedural modifications used to facilitate conversion of an in-person randomized controlled trial of cognitive behavioral therapy (CBT) for depression in individuals with traumatic brain injury (TBI; CBT-TBI) to a telemental health study administered remotely. METHODS: Given the nature of remote implementation and specific challenges experienced by individuals with TBI, considerations related to treatment delivery, remote consent, data management, neuropsychological assessment, safety monitoring, and delivery of supportive material have been discussed. Feasibility, acceptability, and safety were evaluated by examining attendance and participant responses on self-report measures of treatment satisfaction and suicidal behavior. RESULTS: High rates of treatment attendance, assessment completion, study retention, and satisfaction with the intervention and modality were reported by participants who completed at least one telemental health CBT-TBI session. CONCLUSIONS: Study modifications are necessary when conducting a study remotely, and special attention should be paid to comorbidities and population-specific challenges (eg, cognitive impairment). Preliminary data support the feasibility, acceptability, and safety of remotely conducting a randomized controlled trial of CBT-TBI. TRIAL REGISTRATION: ClinicalTrials.gov NCT03307070; https://clinicaltrials.gov/ct2/show/NCT03307070.

Mentalizing imagery therapy for depressed family dementia caregivers: Feasibility, clinical outcomes and brain connectivity changes.

BACKGROUND: Family dementia caregivers experience high rates of depression and anxiety that often go untreated due to time demands. We aimed to determine the feasibility of a brief, 4-week Mentalizing Imagery Therapy intervention, which couples mindfulness with guided imagery practices aimed at bolstering mentalizing capacity, to reduce caregiver psychological symptoms and to explore potential impact on dorsolateral prefrontal cortex connectivity. METHODS: Twenty-four family dementia caregivers with moderate depression symptoms (a score of 10 in Patient Health Questionnaire-9) were assigned to either group Mentalizing Imagery Therapy (MIT, n = 12) or a waitlist augmented by optional relaxation exercises (n = 12). Participants completed questionnaires to measure depression and anxiety at baseline and followup, and those eligible also underwent resting state functional magnetic resonance (fMRI) brain imaging at these time points. RESULTS: Eleven of 12 caregivers assigned to MIT completed the intervention and attended weekly groups 98% of the time. MIT home practice logs indicated average practice of 5 ± 2 sessions per week for 23 ± 8 min per session. All participants in waitlist completed the post-assessment. MIT participants exhibited significantly greater improvement than waitlist on self-reported depression and anxiety symptoms (p<.05) after 4 weeks. Neuroimaging results revealed increased dorsolateral prefrontal cortex connectivity with a putative emotion regulation network in the MIT group (p = .05) but not in waitlist (p = 1.0). LIMITATIONS: Sample size limitations necessitate validation of findings in larger, randomized controlled trials. CONCLUSIONS: A 4-week group MIT program was feasible for caregivers, with high levels of participation in weekly group meetings and home practice exercises.

Risk Factors for Suicidal Ideation Following Mild Traumatic Brain Injury: A TRACK-TBI Study.

OBJECTIVE: To identify risk factors for suicidal ideation (SI) following mild traumatic brain injury (mTBI). SETTING: Eleven US level 1 trauma centers. PARTICIPANTS: A total of 1158 emergency department patients with mTBI (Glasgow Coma Scale score = 13-15) enrolled in the Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study. DESIGN: Prospective observational study; weights-adjusted multivariable logistic regression models (n's = 727-883) estimated associations of baseline factors and post-TBI symptoms with SI at 2 weeks and 3, 6, and 12 months postinjury. MAIN MEASURES: Patient Health Questionnaire, Rivermead Post-Concussion Symptoms Questionnaire. RESULTS: Preinjury psychiatric history predicted SI at all follow-ups (adjusted odds ratios [AORs] = 2.26-6.33, P values <.05) and history of prior TBI predicted SI at 2 weeks (AOR = 2.36, 95% confidence interval [CI] = 1.16-4.81, P = .018), 3 months (AOR = 2.62, 95% CI = 1.33-5.16, P = .005), and 6 months postinjury (AOR = 2.54, 95% CI = 1.19-5.42, P = .016). Adjusting for these baseline factors, post-TBI symptoms were strongly associated with SI at concurrent (AORs = 1.91-2.88 per standard deviation unit increase in Rivermead Post-Concussion Symptoms Questionnaire score; P values <.0005) and subsequent follow-up visits (AORs = 1.68-2.53; P values <.005). Most of the associations between post-TBI symptoms and SI were statistically explained by co-occurring depression. CONCLUSION: Screening for psychiatric and prior TBI history may help identify patients at risk for SI following mTBI. Awareness of the strong associations of post-TBI symptoms with SI may facilitate interventions to prevent suicide-related outcomes in patients with mTBI.

Sexual assault, sense of belonging, depression and suicidality among LGBQ and heterosexual college students.

OBJECTIVE: To compare the effect of sexual orientation, history of sexual assault and sense of belonging on depression and suicidality among lesbian, gay, bisexual, queer and questioning (LGBQ) and heterosexual students. Participants: A total of 60,194 students from 60 US campuses who participated in the 2017-2018 Healthy Minds Study. Methods: Three-way interaction effects were analyzed using PROCESS macro models in SPSS. Results: Significant three-way interaction effects were found for sexual orientation, sexual assault and sense of belonging predicting depressive symptoms (b = -0.06, p= 0.042, CI: -0.12 to -0.00), and suicidality (b = -0.10, p= 0.004, CI: -0.01 to -0.003). The effect of sexual assault on mental health differed depending on sexual orientation and sense of belonging. Particularly among LGBQ students, high sense of belonging was protective in the presence of sexual assault, and its absence had a deleterious effect on mental health. Conclusion: Enhancing sense of belonging may represent a strategy to mitigate depression and promote suicide prevention, particularly among LGBQ students.

Change processes in cognitive behavioral therapy and motivational interviewing for depression and heavy alcohol use: A network approach.

Objective: Both cognitive behavioral therapy for depression (CBT-D) combined with brief motivational interviewing (CBT-D + BMI) and alone are associated with symptom improvement among college students with co-occurring depression and heavy episodic drinking (HED). However, little is known about change processes underlying these different treatments.The current study uses a network approach to examine change process that may differentially underlie CBT-D + BMI relative to CBT alone. Methods: Participants included 94 college students with depression and HED who were randomized to either eight weeks of CBT-D + BMI or CBT alone. A network approach was adopted to examine how treatment condition influenced changes in the network structure of depression symptoms, heavy drinking, drinking motives, and consequences of alcohol. Network analyses were conducted using change scores representing the eight-week difference from pre-treatment to post-treatment assessments. Results: Relative to CBT-D alone, the combined CBT-D + BMI treatment influenced the symptom network structure by preferentially targeting reductions in drinking to cope motives and in the depression symptom 'loss of interest'. Conclusion: The current study revealed that combined CBT-D + BMI may confer therapeutic benefit through different network structure pathways than CBT-D alone. Specifically, augmenting CBT-D with BMI may influence change processes related to drinking motives, such as drinking to cope.

Contributions of posttraumatic stress disorder (PTSD) and mild TBI (mTBI) history to suicidality in the INTRuST consortium.

OBJECTIVE: Mild TBI (mTBI) and posttraumatic stress disorder (PTSD) are independent risk factors for suicidal behaviour (SB). Further, co-occurring mTBI and PTSD increase one's risk for negative health and psychiatric outcomes. However, little research has examined the role of comorbid mTBI and PTSD on suicide risk. METHODS: The present study utilized data from the Injury and TRaUmatic STress (INTRuST) Consortium to examine the prevalence of suicidal ideation (SI) and behaviours among four groups: 1) comorbid mTBI+PTSD, 2) PTSD only, 3) mTBI only, and 4) healthy controls. RESULTS: Prevalence of lifetime SI, current SI, and lifetime SB for individuals with mTBI+PTSD was 40%, 25%, and 19%, respectively. Prevalence of lifetime SI, current SI, and lifetime SB for individuals with PTSD only was 29%, 11%, and 11%, respectively. Prevalence of lifetime SI, current SI, and lifetime SB for individuals with mTBI only was 14%, 1%, and 2%, respectively. Group comparisons showed that individuals with mTBI alone experienced elevated rates of lifetime SI compared to healthy controls. History of mTBI did not add significantly to risk for suicidal ideation and behaviour beyond what is accounted for by PTSD. CONCLUSION: Findings suggest that PTSD seems to be driving risk for suicidal behaviour.

Effects of Open-Label, Adjunctive Ganaxolone on Persistent Depression Despite Adequate Antidepressant Treatment in Postmenopausal Women: A Pilot Study.

OBJECTIVE: The neuroactive steroid metabolite of progesterone, allopregnanolone, is a positive allosteric modulator of γ-aminobutyric acid-A (GABAA) receptors and a putative treatment for mood disorders. This pilot study was performed to determine whether an oral allopregnanolone analog (ganaxolone) may be effective adjunctive therapy for persistent depression despite adequate antidepressant treatment in postmenopausal women. METHOD: Ten postmenopausal women (mean ± SD age: 62.8 ± 6.3 years; range, 53-69 years) with persistent depression despite adequate antidepressant treatment (current DSM-IV-TR major depressive episode per the Structured Clinical Interview for DSM-IV-TR, Montgomery-Asberg Depression Rating Scale [MADRS] score ≥ 16, and treated with an adequately dosed antidepressant for ≥ 6 weeks) were studied from December 2016 to April 2018. Open-label ganaxolone (225 mg twice daily, increased to 450 mg twice daily if tolerated) was administered for 8 weeks, followed by a 2-week taper. RESULTS: Mean ± SEM total MADRS score (primary endpoint) decreased by 8 weeks (24.4 ± 1.6 to 12.8 ± 2.9, P = .015), and the decrease persisted over the 2-week taper (P = .019); of the 9 subjects who completed the full 8-week treatment period, 44% (4/9) experienced response (MADRS score decrease ≥ 50%) and remission (final MADRS score < 10), which persisted in 100% and 50% of subjects at 10 weeks, respectively. Secondary endpoints showed significant improvement, including Inventory of Depressive Symptomatology-Self-Report score (P = .003), MADRS reduced sleep subscale score (P < .001), total Symptoms of Depression Questionnaire (SDQ) score (P = .012), and scores on SDQ subscales for disruptions in sleep quality (P = .003) and changes in appetite and weight (P = .009) over 8 weeks. No significant effects were observed on quality of life or sexual function. All subjects experienced sleepiness and fatigue; 60% experienced dizziness. CONCLUSIONS: In this open-label, uncontrolled pilot study, adjunctive ganaxolone appears to exert antidepressant effects but produces sedation with twice-daily dosing. Ganaxolone may also improve sleep, which may be useful in patients with depression and insomnia. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT02900092.

Monitoring Changes in Depression Severity Using Wearable and Mobile Sensors.

Background: While preliminary evidence suggests that sensors may be employed to detect presence of low mood it is still unclear whether they can be leveraged for measuring depression symptom severity. This study evaluates the feasibility and performance of assessing depressive symptom severity by using behavioral and physiological features obtained from wristband and smartphone sensors. Method: Participants were thirty-one individuals with Major Depressive Disorder (MDD). The protocol included 8 weeks of behavioral and physiological monitoring through smartphone and wristband sensors and six in-person clinical interviews during which depression was assessed with the 17-item Hamilton Depression Rating Scale (HDRS-17). Results: Participants wore the right and left wrist sensors 92 and 94% of the time respectively. Three machine-learning models estimating depressive symptom severity were developed-one combining features from smartphone and wearable sensors, one including only features from the smartphones, and one including features from wrist sensors-and evaluated in two different scenarios. Correlations between the models' estimate of HDRS scores and clinician-rated HDRS ranged from moderate to high (0.46 [CI: 0.42, 0.74] to 0.7 [CI: 0.66, 0.74]) and had moderate accuracy with Mean Absolute Error ranging between 3.88 ± 0.18 and 4.74 ± 1.24. The time-split scenario of the model including only features from the smartphones performed the best. The ten most predictive features in the model combining physiological and mobile features were related to mobile phone engagement, activity level, skin conductance, and heart rate variability. Conclusion: Monitoring of MDD patients through smartphones and wrist sensors following a clinician-rated HDRS assessment is feasible and may provide an estimate of changes in depressive symptom severity. Future studies should further examine the best features to estimate depressive symptoms and strategies to further enhance accuracy.

Evaluating the combination of a Brief Motivational Intervention plus Cognitive Behavioral Therapy for Depression and heavy episodic drinking in college students.

[Correction Notice: An Erratum for this article was reported in Vol 34(2) of Psychology of Addictive Behaviors (see record 2020-16883-001). In the original article the order of authorship was incorrect. The correct second and third authors should appear instead as Brian Borsari and Jennifer E. Merrill.] Heavy episodic drinking (HED) and depressive symptoms often co-occur among college students and are associated with significant impairment. However, evidence-based treatments for these common co-occurring conditions are not available for college students. The current study compared the effectiveness of a treatment combining Cognitive-Behavioral Therapy for Depression and Brief Motivational Interviewing (CBT-D + BMI) versus Cognitive-Behavioral Therapy for Depression (CBT-D) alone among 94 college students with HED and depressive symptoms. Both treatment programs were associated with significant reductions of similar magnitude in HED, alcohol-related problems (ARP), and depressive symptoms at the end of treatment and at the 1-month follow-up assessment. Moderation analyses indicated that, among college students with fewer depressive symptoms at baseline, CBT-D was associated with greater sustained reduction in heavy drinking relative to CBT-D + BMI at the 1-month follow-up. Although the study did not include a no-treatment condition, the magnitude of improvement during treatment in both groups was greater than what is expected with passage of time. Although clinicians in college counseling centers may lack specialty training for co-occurring conditions, CBT-D is widely implemented in college settings. Our findings suggest that CBT-D may reduce both depressive symptoms and HED in college students and may be used to address a significant public health problem. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

The allopregnanolone to progesterone ratio across the menstrual cycle and in menopause.

The neuroactive steroid 3α-5α-tetrahydroprogesterone (allopregnanolone), a metabolite of progesterone, is a positive allosteric modulator of GABAA receptors, and low levels have been implicated in the etiology of mood disorders. However, it is not known whether metabolism of progesterone to allopregnanolone varies across the menstrual cycle or is low after menopause. We hypothesized that the allopregnanolone/progesterone ratio would decrease from the follicular to luteal phase. We also hypothesized that postmenopausal women would have lower levels of progesterone and allopregnanolone but similar allopregnanolone/progesterone ratios as premenopausal women in the follicular phase. Serum fasting allopregnanolone and progesterone levels were measured by gas chromatography-mass spectrometry in ten premenopausal women at the follicular, mid-cycle, and luteal phases of the menstrual cycle and in twenty-four postmenopausal women. Although allopregnanolone and progesterone levels increased from the follicular to luteal phase, the allopregnanolone/progesterone ratio decreased 8-fold [0.33 ± 0.08 (follicular) vs 0.16 ± 0.09 (mid-cycle) vs 0.04 ± 0.007 (luteal), p = 0.0003]. Mean allopregnanolone and progesterone levels were lower in postmenopausal than premenopausal women at all menstrual cycle phases (p < 0.01). The mean allopregnanolone/progesterone ratio was similar in postmenopausal and premenopausal women in the follicular phase (0.39 ± 0.08 vs 0.33 ± 0.08, p = 0.94) but was significantly lower at mid-cycle and in the luteal phase than in postmenopausal women (p < 0.01). In conclusion, the serum allopregnanolone/progesterone ratio decreases 8-fold from the follicular to luteal phase and is lower at mid-cycle and the luteal phase than in postmenopausal women. Whether these data have implications for luteal phase and other mood disorders merits further study.

Sex Differences in the Association between Heavy Drinking and Behavioral Distress Tolerance and Emotional Reactivity Among Non-Depressed College Students.

BACKGROUND: Heavy episodic drinking (HED) is a common behavior among college students that is associated with severe negative consequences. Negative reinforcement processes have been applied to elucidate mechanisms underlying relationships between consumption of alcohol and the desire to alleviate negative feelings. Distress tolerance (DT) and emotional reactivity are two mechanisms that are consistent with the self-medication model that may contribute to HED. The current study investigated relationships between DT, emotional reactivity, defined as frustration reactivity and irritability reactivity, and HED in a non-depressed college population. Given differential patterns of consumption and motivation for drinking between males and females, sex differences were also examined. SHORT SUMMARY: The study examined two constructs consistent with negative reinforcement processes, behavioral distress tolerance (DT) and emotional reactivity (frustration reactivity and irritability reactivity), to explain heavy episodic drinking (HED) among non-depressed college students. Behavioral DT and frustration reactivity independently predicted HED. Higher HED was associated with higher frustration reactivity and lower behavioral DT in women, but nor in men. METHODS: One-hundred-ten college students without depressive symptoms completed alcohol use measures and the Paced Auditory Serial Attention Task (PASAT-C) to assess behavioral DT and emotional reactivity. RESULTS: DT and frustration reactivity independently predicted HED. The association between DT and HED was moderated by sex such that higher levels of DT predicted higher HED among females, but not among males. Higher frustration reactivity scores were associated with a greater number of HED. CONCLUSIONS: Results provide supporting evidence that DT and emotional reactivity are distinct factors, and that they predict HED independently. Results underscore the importance of examining sex differences when evaluating the association between HED and negative reinforcement processes in this population.

Prevalence of suicidal behaviour following traumatic brain injury: Longitudinal follow-up data from the NIDRR Traumatic Brain Injury Model Systems.

OBJECTIVE: This study utilized the Traumatic Brain Injury Model Systems (TBIMS) National Database to examine the prevalence of depression and suicidal behaviour in a large cohort of patients who sustained moderate-to-severe TBI. METHOD: Participants presented to a TBIMS acute care hospital within 72 hours of injury and received acute care and comprehensive rehabilitation in a TBIMS designated brain injury inpatient rehabilitation programme. Depression and suicidal ideation were measured with the Patient Health Questionnaire (PHQ-9). Self-reported suicide attempts during the past year were recorded at each follow-up examination, at 1, 2, 3, 10, 15 and 20 years post-injury. RESULTS: Throughout the 20 years of follow-up, rates of depression ranged from 24.8-28.1%, suicidal ideation ranged from 7.0-10.1% and suicide attempts (past year) ranged from 0.8-1.7%. Participants who endorsed depression and/or suicidal behaviour at year 1 demonstrated consistently elevated rates of depression and suicidal behaviour 5 years after TBI. CONCLUSION: Compared to the general population, individuals with TBI are at greater risk for depression and suicidal behaviour many years after TBI. The significant psychiatric symptoms evidenced by individuals with TBI highlight the need for routine screening and mental health treatment in this population.