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BACKGROUND: Regularizing bedtime and out-of-bed times is a core component of behavioral treatments for sleep disturbances common among patients with posttraumatic stress disorder (PTSD). Although improvements in subjective sleep complaints often accompany improvements in PTSD symptoms, the underlying mechanism for this relationship remains unclear. Given that night-to-night sleep variability is a predictor of physical and mental well-being, the present study sought to evaluate the effects of bedtime and out-of-bed time variability on daytime affect and explore the optimal window lengths of over which variability is calculated. METHODS: For about 30 days, male U.S. military veterans with PTSD (N = 64) in a residential treatment program provided ecological momentary assessment data on their affect and slept on beds equipped with mattress actigraphy. We computed bedtime and out-of-bed time variability indices with varying windows of days. We then constructed multilevel models to account for the nested structure of our data and evaluate the impact of bedtime and out-of-bed time variability on daytime affect. RESULTS: More regular bedtime across 6-9 days was associated with greater subsequent positive affect. No similar effects were observed between out-of-bed time variability and affect. CONCLUSIONS: Multiple facets of sleep have been shown to differently predict daily affect, and bedtime regularity might represent one of such indices associated with positive, but not negative, affect. A better understanding of such differential effects of facets of sleep on affect will help further elucidate the complex and intertwined relationship between sleep and psychopathology. TRIAL REGISTRATION: The trial retrospectively was registered on the Defense Technical Information Center website: Award # W81XWH-15-2-0005.

Although single items can save time and burden in psychology research, concerns about their reliability have made the use of multiple-item measures the default standard practice. Although single items cannot demonstrate internal reliability, their criterion validity can be compared with multiple-item measures. Using ecological momentary assessment data, we evaluated repeated measures correlations and constructed multilevel cross-lagged models to assess concurrent and predictive validity of single- and multiple-item measures. Correlations between the single- and multiple-item measures ranged from .24 to .61. In 27 of 29 unique single-item predictor models, single items demonstrated significant predictive validity, and in one of eight sets of comparisons, a single-item predictor exhibited a larger effect size than its multiple-item counterpart. Although multiple-item measures generally performed better than single items, the added benefit of multiple items was modest in most cases. The present data provide support for the use of single-item measures in intensive longitudinal designs.

Despite the well-established bidirectional association between sleep and daytime affect, most studies examining this relationship have focused on mean levels of affect. However, research solely focusing on mean levels of affect inherently neglects variability in affect, which has been shown to predict both psychological and physical well-being beyond mean levels. The present study assessed sleep quality and daytime affect using ecological momentary assessment in a combined sample of individuals (N = 80; 8,881 observations) with and without anxiety and mood disorders. Results from the present study partially replicated extant work on the negative association between negative affect (NA) variability and subsequent sleep quality. Furthermore, less satisfying sleep amplified the positive relationship between daily mean levels and variability of positive affect (PA). The results did not differ by clinical status. The present study offers novel evidence suggesting that previous night's sleep quality influences the stability of varying daily levels of PA. Uncovering the dynamics of sleep and affect beyond mean levels will help further elucidate mechanisms linking sleep and subsequent affective experiences.

BACKGROUND: The unified protocol (UP) is a promising transdisgnostic treatment for emotional disorders; limited data exists with trauma-exposed populations. This study compared effectiveness of the UP, presented centered therapy (PCT), and treatment as usual (TAU) in trauma-exposed veterans presenting to routine care. METHOD: Trauma-exposed veterans with one or more emotional disorder diagnoses participated in a pilot hybrid-1 effectiveness/preimplementation study. Thirty-seven male and female veterans were randomized to one of three conditions. RESULTS: Multilevel growth curve modeling demonstrated improvement over time across conditions with large effect sizes (range: -2.15 to -3.32), with the UP demonstrating the greatest change. The between group effect sizes for reductions in number of comorbid diagnoses were medium to small and statistically significant (TAU and UP, d = 0.49, p = .056; TAU and PCT d = 0.18, p = .166, UP and PCT d = 0.31, p = .229). Only the UP led to a decrease in the number of comorbid diagnoses (d = -0.71). Psychosocial functioning varied by group, with slight increases in impairment in PCT and TAU, and medium effect size reduction in the UP. Only the UP exhibited significant decreases in self-reported anxiety and depression. Between group differences for UP and PCT were medium to large and statistically significant for depression across two measures (d = -0.72 to d = -1.40). CONCLUSIONS: This represents the first trial examining effectiveness of the UP, PCT, and TAU in trauma-exposed veterans. Despite a small sample, large effect size differences demonstrated promising advantages for the UP. Trial Registration Number: NCT02944994.

ObjectiveDigital Mental Health Interventions (DMHI) can diminish inequities in mental health care provision. As DMHIs increase in popularity, however, older adults may be unintentionally excluded due to barriers such as lack of awareness, internet access, digital tools, technological socialization and education, physiological accessibility, and communication technology infrastructure. The aim of this study was to examine longitudinal treatment engagement patterns and 15-week clinical outcomes of depressed and anxious older adults compared to a matched cohort of younger adults seeking treatment from a large asynchronous telemedicine provider.MethodsThe 2,470 older adults (55+ years) and a matched cohort of younger adults (26-35 years) diagnosed with depression or anxiety were treated by licensed therapists via messaging 5 days a week. Patterns of treatment engagement on the platform were compared across groups by examining total number of days in treatment, days actively messaging on the platform, and average words and messages per week sent by patients over the entire period they remained in treatment. Symptoms were assessed every 3 weeks using the Patient Health Questionnaire (PHQ-9) and the Generalized Anxiety Disorder Scale (GAD-7), and changes were compared across age groups over 15 weeks.ResultsOlder patients attended more days in treatment than younger patients, but there were no differences in number of days actively messaging on the platform, number of messages per week, or word count per week. The two age groups did not differ in their final anxiety or depressive symptoms when controlling for total number of weeks attended. Patients in the younger age group experienced a quicker rate of reduction than older adults in their anxiety, but not depressive symptoms.ConclusionsAmong individuals willing to initiate care through a DMHI, older adults had overall similar engagement as younger adults and they showed similar improvement in symptoms of depression and anxiety. Given the advantages of message-based care for aiding a mental health workforce in serving larger numbers of individuals in need and the expected growth of the aging population, these findings could help healthcare systems in evaluating a variety of treatment options and delivery media for meeting the healthcare needs of the future.

In light of the well-established relationship between posttraumatic stress disorder (PTSD) and suicidal ideation (SI), there has been a push for treatments that simultaneously improve symptoms of PTSD and decrease SI. Using data from a randomized controlled hybrid implementation-effectiveness trial, the current study investigated the effectiveness of Cognitive Processing Therapy (CPT; Resick, Monson, & Chard, 2016) on PTSD and SI. The patient sample (N = 188) was diverse in military and veteran status, gender, and comorbidity, and 73% of the sample endorsed SI at one or more points during CPT. Participants demonstrated significant improvement in SI over the course of CPT. Multilevel growth curve modeling revealed a significant association between PTSD symptom change and change in SI. Results from cross-lagged multilevel regressions indicated that PTSD symptoms predicted SI in the next session, yet SI in a given session did not predict PTSD symptoms in the next session. Potentially relevant clinical factors (i.e., military status, gender, depression diagnosis, baseline SI, study consultation condition) were not associated with the relationship between PTSD symptoms and SI. These results add to the burgeoning literature suggesting that evidence-based treatments for PTSD, like CPT, reduce suicidality in a range of individuals with PTSD, and that this reduction is predicted by improvements in PTSD symptoms.

Background: Consultation is an implementation strategy that improves delivery and clinical outcomes for Cognitive Processing Therapy (CPT), an evidence-based practice (EBP) for posttraumatic stress disorder (PTSD). However, little is known about the specific components of consultation that influence the fidelity of treatment delivery or clinical outcomes. Methods: The current study examined whether specific activities performed during CPT consultation meetings were associated with better fidelity to the CPT protocol among 60 newly trained therapists or improved clinical outcomes among 135 clients treated by these therapists. Consultation activities that fall under three broad categories (discussion of the application of CPT to individual cases, review/feedback on fidelity, and technical difficulties) were measured by consultant checklists for each consultation session. Treatment fidelity (adherence to the protocol and competence of delivery) was rated by trained observers for a random sample of therapists' CPT sessions following consultation. The self-reported PTSD Checklist-IV assessed PTSD symptom change. Results: Multilevel regression analyses indicated that higher therapist consultation attendance predicted a greater decrease in their clients' PTSD symptoms and that attendance was not associated with observer-rated treatment fidelity. Discussion of the application of specific CPT strategies was the only consultation activity that was significantly associated with greater improvement in PTSD symptoms. Lastly, no consultation activities were significantly associated with treatment fidelity. Conclusions: Our findings suggest that specific consultation strategies such as emphasizing the discussion of the application of specific CPT strategies to individual cases during consultation meetings may be effective in improving the clinical outcomes of CPT.

Background: Physical health concerns (e.g. chronic pain, fatigue) are common among clients with posttraumatic stress disorder (PTSD). Prior research has indicated that clients report improved physical functioning and fewer physical health symptoms after receiving Cognitive Processing Therapy (CPT) for PTSD. However, less is known about the impact of physical functioning on the clients' PTSD symptom improvement in CPT. Objective: The current study examined the patterns of change of and between physical functioning and PTSD symptoms over the course of CPT among a diverse military, veteran, and community sample. Method: We collected clients' (N = 188) physical functioning and PTSD symptom severity prior to and during CPT using the 12-Item Short Form Health Survey and the PTSD Checklist. We used multilevel modelling to 1) evaluate the impact of baseline physical functioning on the PTSD symptom trajectory, 2) examine the trajectory of physical functioning, and 3) assess the dynamics between physical functioning and PTSD symptoms over the course of CPT. Results: Our multilevel analyses indicated that 1) physical functioning significantly improved for those with low levels of functioning prior to treatment, 2) poorer baseline physical functioning predicted slower improvements in PTSD symptoms, and 3) poorer physical functioning in one session predicted less PTSD symptom improvement by the next session. Conclusions: Our findings demonstrate that while physical functioning can interfere with PTSD symptom improvement, physical functioning can also improve over the course of CPT. In light of the interconnected nature of physical health and PTSD symptoms, clinicians may need to attend to lower levels of physical functioning when providing CPT or other trauma-focused therapies. Future research to determine whether specific treatment adaptations may benefit such clients is needed.

As recent advances in additive manufacturing (AM) technology has grown rapidly over the past decades, a wide range of applications in the various field has been proposed. Especially, large-scale 3D printing technology has emerged as one of the most innovative alternatives to the traditional manufacturing process due to its simple, fast, and cost-efficient features. In this article, we proposed a large-scale hybrid manufacturing equipment of the three-dimensional (3D) printer based on fused deposition modeling (FDM) incorporated with CNC machining. Our manufacturing system is designed to produce a product having dimensions up to 3,000 mm × 4,000 mm × 1,200 mm with an extruder having an extrusion rate of 30 mm·s−1 and nozzle area of 15 mm2 × 15 mm2. We also optimized the operating conditions of our equipment including the shape of the nozzle, the temperature of the heater, and the RPM of the machining tool. The performance of the equipment was confirmed by pilot production via sand-casting. We expect that our hybrid manufacturing system can be widely used to produce various shapes of large-scale mold as a cost-effective alternative to conventional methods in the manufacturing process.