Military Sexual Trauma As a Risk Factor for Treatment Non-Response from an Online, Self-Management Posttraumatic Stress Disorder Treatment for Women Veterans.

Women veterans are exposed to high rates of trauma, including military sexual trauma (MST), and face unique barriers to posttraumatic stress disorder (PTSD) treatment. Telehealth interventions that are tailored to women veterans' unique lived experiences may improve treatment engagement and outcomes. It is important to ascertain how beneficial new telehealth interventions are in the context of different patient characteristics and trauma types, particularly for lower-intensity telehealth interventions (e.g., web-based programs or apps). This secondary analysis of a randomized clinical trial conducted in a sample of 102 women veterans examines predictors of treatment response to a self-management, telehealth intervention for PTSD: Delivery of Self Training and Education for Stressful Situations-Women Veterans (DESTRESS-WV). In the trial, women veterans with PTSD received either an online cognitive behavioral intervention with phone coaching, or phone monitoring alone. We examined associations between baseline patient characteristics (demographics, trauma types, and clinical symptoms) and treatment outcome at post-treatment, 3 months, and 6 months, focusing on the association between treatment outcome and MST. Our primary outcomes were changes in PTSD (PTSD Symptom Checklist, Version 5, PCL-5) and depression (8-item Patient Health Questionnaire, PHQ-8) in the full sample, adjusting for treatment condition. Women veterans who identified MST as the primary trauma for which they were seeking PTSD treatment experienced a nearly nine-point lesser improvement on the PCL-5 than those seeking PTSD treatment for other trauma types (e.g., childhood abuse, combat trauma; p = .0073). Similar patterns were found for depression symptoms. To our knowledge, this is the first study to examine the association between trauma type and treatment outcomes within the context of a self-management, telehealth treatment for PTSD. While the study was not powered to examine differential treatment response for patient subgroups, our exploratory findings suggest that gaps remain in providing effective PTSD care for women veterans who experienced MST.Trial registration: The trial and analysis plan were preregistered in ClinicalTrials.gov (Identifier: NCT02917447).

Using mobile sensing data to assess stress: Associations with perceived and lifetime stress, mental health, sleep, and inflammation.

BACKGROUND: Although stress is a risk factor for mental and physical health problems, it can be difficult to assess, especially on a continual, non-invasive basis. Mobile sensing data, which are continuously collected from naturalistic smartphone use, may estimate exposure to acute and chronic stressors that have health-damaging effects. This initial validation study validated a mobile-sensing collection tool against assessments of perceived and lifetime stress, mental health, sleep duration, and inflammation. METHODS: Participants were 25 well-characterized healthy young adults (M age = 20.64 years, SD = 2.74; 13 men, 12 women). We collected affective text language use with a custom smartphone keyboard. We assessed participants' perceived and lifetime stress, depression and anxiety levels, sleep duration, and basal inflammatory activity (i.e. salivary C-reactive protein and interleukin-1ß). RESULTS: Three measures of affective language (i.e. total positive words, total negative words, and total affective words) were strongly associated with lifetime stress exposure, and total negative words typed was related to fewer hours slept (all large effect sizes: r = 0.50 - 0.78). Total positive words, total negative words, and total affective words typed were also associated with higher perceived stress and lower salivary C-reactive protein levels (medium effect sizes; r = 0.22 - 0.32). CONCLUSIONS: Data from this initial longitudinal validation study suggest that total and affective text use may be useful mobile sensing measures insofar as they are associated with several other stress, mental health, behavioral, and biological outcomes. This tool may thus help identify individuals at increased risk for stress-related health problems.