Crowdsourcing Trauma: Psychopathology in a Trauma-Exposed Sample Recruited via Mechanical Turk.

Although crowdsourcing websites like Amazon's Mechanical Turk (MTurk) allow researchers to conduct research efficiently, it is unclear if MTurk and traditionally recruited samples are comparable when assessing the sequela of traumatic events. We compared the responses to validated self-report measures of posttraumatic stress disorder (PTSD) and related constructs that were given by 822 participants recruited via MTurk and had experienced a DSM-5 Criterion A traumatic event to responses obtained in recent samples of participants recruited via traditional methods. Results suggested that the rate of PTSD in the present sample (19.8%) was statistically higher than that found in a recent systematic review of studies that used only traditional recruitment methods. The severity of PTSD reported in the MTurk sample was significantly greater than that reported in a college sample, d = 0.24, and significantly less than that reported in a veteran sample, d = 0.90. The factor structure of PTSD found in the MTurk sample was consistent with prevailing models of PTSD. Findings indicate that crowdsourcing may improve access to this hard-to-reach population.

Understanding messaging preferences to inform development of mobile goal-directed behavioral interventions.

BACKGROUND: Mobile messaging interventions have been shown to improve outcomes across a number of mental health and health-related conditions, but there are still significant gaps in our knowledge of how to construct and deliver the most effective brief messaging interventions. Little is known about the ways in which subtle linguistic variations in message content can affect user receptivity and preferences. OBJECTIVE: The aim of this study was to determine whether any global messaging preferences existed for different types of language content, and how certain characteristics moderate those preferences, in an effort to inform the development of mobile messaging interventions. METHODS: This study examined user preferences for messages within 22 content groupings. Groupings were presented online in dyads of short messages that were identical in their subject matter, but structurally or linguistically varied. Participants were 277 individuals residing in the United States who were recruited and compensated through Amazon's Mechanical Turk (MTurk) system. Participants were instructed to select the message in each dyad that they would prefer to receive to help them achieve a personal goal of their choosing. RESULTS: Results indicate global preferences of more than 75% of subjects for certain types of messages, such as those that were grammatically correct, free of textese, benefit-oriented, polite, nonaggressive, and directive as opposed to passive, among others. For several classes of messages, few or no clear global preferences were found. There were few personality- and trait-based moderators of message preferences, but subtle manipulations of message structure, such as changing "Try to…" to "You might want to try to…" affected message choice. CONCLUSIONS: The results indicate that individuals are sensitive to variations in the linguistic content of text messages designed to help them achieve a personal goal and, in some cases, have clear preferences for one type of message over another. Global preferences were indicated for messages that contained accurate spelling and grammar, as well as messages that emphasize the positive over the negative. Research implications and a guide for developing short messages for goal-directed behaviors are presented in this paper.

The Cyborg Method: A Method to Identify Fraudulent Responses from Crowdsourced Data.

Crowdsourcing is an essential data collection method for psychological research. Concerns about the validity and quality of crowdsourced data persist, however. A recent documented increase in the number of invalid responses within crowdsourced data has highlighted the need for quality control measures. Although a number of approaches are recommended, few have been empirically evaluated. The present study evaluated a Cyborg Method that used automated evaluation of participant meta-data and a review of short answer responses. Two samples were recruited - in the first, the Cyborg Method was applied after data collection to gauge the extent to which invalid responses were collected when a priori quality controls were absent. In the second, the Cyborg Method was applied during data collection to determine if the method would proactively screen invalid responses. Results suggested that Cyborg Method identified a substantial portion of invalid responses and both automated and human evaluation components was necessary. Furthermore, the Cyborg Method could be applied proactively to screen invalid responses and substantially reduced the per participant cost of data collection. These results suggest that the Cyborg Method is a promising means by which to collect high quality crowdsourced data.

Associations of past-year overall trauma, sexual assault and PTSD with social support for young adult sexual minority women.

Background: Young adult sexual minority women (SMW) are at elevated risk for sexual assault (SA), posttraumatic stress disorder (PTSD), and inadequate social support. While SA and PTSD can lead to reductions in social support from close significant others, the impact of SA and PTSD on SMWs' social support has not previously been assessed.Objective: This study examined the associations of past year SA and PTSD with SMW's social support from intimate partners, family, and friends. It was hypothesized that SA and PTSD would be negatively associated with support from partners, family and friends, and that PTSD would moderate the effect of SA on support in early adulthood.Method: Young adult SMW in the United States (N = 235) who were M = 23.93 (SD = 2.15) years old, primarily lesbian or bisexual (n = 186, 79.1%) and White (n = 176, 74.9%) completed measures on past year exposure to SA and non-SA trauma, PTSD, and social support from intimate partners, family and friends.Results: PTSD was associated with less social support from partners, (b = -0.06, SE = 0.02, p = .010, R2change = .02), family, (b = -0.06, SE = 0.03, p = .025, R2change = .02), and friends, (b = -0.07, SE = 0.02, p = .008, R2change = .02). There was a significant interaction between PTSD and SA on social support from partners (b = -0.01, SE = 0.01, p = .047, R2change = .01). Neither non-SA nor SA trauma was associated with support from family or friends.Conclusions: Results underscore the potential impact of recent SA on intimate partnerships for young adult SMW with more severe PTSD. Future work should explore how addressing PTSD and improving social support quality may help SMW recover from traumatic experiences and ameliorate the effects of SA on intimate partnerships.

We examined the associations of past-year sexual and non-sexual assault trauma and PTSD with sexual minority women's social support from close significant others.Higher PTSD was associated with lower social support from partners, family and friends.In intimate partnerships, sexual assault was only associated with less social support when PTSD symptoms were more severe.

A preliminary evaluation of the Supportive Other Experiences Questionnaire: integrating the perspectives of social support providers after traumatic injury.

BACKGROUND: Social support is a protective factor against the development of Posttraumatic Stress Disorder (PTSD). However, examinations of the social support after trauma have relied primarily on the self-reports of trauma survivors to the exclusion of their support providers. A new measure, the Supportive Other Experiences Questionnaire (SOEQ) was adapted from a well-established behavioral coding schema of support behaviors to capture social support experiences from the support provider perspective. METHOD: 513 Concerned Significant Others (CSOs) recruited on MTurk who had served as support providers to a traumatically injured romantic partner were recruited to respond to SOEQ candidate items and other relevant measures of psychopathology and relational factors. Factor analytic, correlational and regression analyses were conducted. RESULTS: Confirmatory factor analytic results of SOEQ candidate items provide evidence for three support types (i.e., informational, tangible, and emotional) and two support processes (i.e., frequency, difficulty), producing a final 11-item version of the SOEQ. Evidence of convergent and discriminant validity provide good psychometric support for the measure. Evidence of construct validity was derived from support for two hypotheses: (1) difficulty providing social support is negatively associated with CSO perceptions of trauma survivor recovery, (2) social support provision frequency is positively associated with relationship satisfaction. LIMITATIONS: Though factor loadings for support types were significant, several were small, limiting interpretability. Cross-validation in a separate sample is needed. CONCLUSIONS: The final version of the SOEQ demonstrated promising psychometric properties, and can provide key information one the experiences of CSOs as social support providers for trauma survivors.

The PTSD Family Coach App in Veteran Family Members: Pilot Randomized Controlled Trial.

BACKGROUND: Posttraumatic stress disorder (PTSD) among US military veterans can adversely impact their concerned significant others (CSOs; eg, family members and romantic partners). Mobile apps can be tailored to support CSO mental health through psychoeducation, coping skills, and stress monitoring. OBJECTIVE: This study assessed the feasibility, acceptability, and potential efficacy of PTSD Family Coach 1.0, a free, publicly available app that includes psychoeducation, stress management tools, self-assessments, and features for connecting to alternative supports, compared with a psychoeducation-only version of the app for cohabitating CSOs of veterans with PTSD. METHODS: A total of 200 participants with an average age of 39 (SD 8.44) years, primarily female (193/200, 97%), and White (160/200, 80%) were randomized to self-guided use of either PTSD Family Coach 1.0 (n=104) or a psychoeducation-only app (n=96) for 4 weeks. Caregiver burden, stress, depression, anxiety, beliefs about treatment, CSO self-efficacy, and relationship functioning assessed using measures of dyadic adjustment, social constraints, and communication danger signs were administered via a web survey at baseline and after treatment. User satisfaction and app helpfulness were assessed after treatment. Data were analyzed using linear mixed methods. RESULTS: Overall, 50.5% (101/200) of randomized participants used their allocated app. Participants found PTSD Family Coach 1.0 somewhat satisfying (mean 4.88, SD 1.11) and moderately helpful (mean 2.99, SD 0.97) to use. Linear mixed effects models revealed no significant differences in outcomes by condition for caregiver burden (P=.45; Cohen d=0.1, 95% CI -0.2 to 0.4), stress (P=.64; Cohen d=0.1, 95% CI -0.4 to 0.6), depression (P=.93; Cohen d= 0.0, 95% CI -0.3 to 0.3), anxiety (P=.55; Cohen d=-0.1, 95% CI -0.4 to 0.2), beliefs about treatment (P=.71; Cohen d=0.1, 95% CI -0.2 to 0.3), partner self-efficacy (P=.59; Cohen d=-0.1, 95% CI -0.4 to 0.2), dyadic adjustment (P=.08; Cohen d=-0.2, 95% CI -0.5 to 0.0), social constraints (P=.05; Cohen d=0.3, 95% CI 0.0-0.6), or communication danger signs (P=.90; Cohen d=-0.0, 95% CI -0.3 to 0.3). Post hoc analyses collapsing across conditions revealed a significant between-group effect on stress for app users versus nonusers (ß=-3.62; t281=-2.27; P=.02). CONCLUSIONS: Approximately half of the randomized participants never used their allocated app, and participants in the PTSD Family Coach 1.0 condition only opened the app approximately 4 times over 4 weeks, suggesting limitations to this app version's feasibility. PTSD Family Coach 1.0 users reported moderately favorable impressions of the app, suggesting preliminary acceptability. Regarding efficacy, no significant difference was found between PTSD Family Coach 1.0 users and psychoeducation app users across any outcome of interest. Post hoc analyses suggested that app use regardless of treatment condition was associated with reduced stress. Further research that improves app feasibility and establishes efficacy in targeting the domains most relevant to CSOs is warranted. TRIAL REGISTRATION: ClinicalTrials.gov NCT02486705; https://clinicaltrials.gov/ct2/show/NCT02486705.

The Enduring Importance of Parenting: Caregiving Quality and Fear-Potentiated Startle in Emerging Adults With a Child Maltreatment History.

Background: The transition to adulthood is a period of increased risk for emergent psychopathology; emerging adults with a childhood maltreatment history are at risk for poor outcomes. Method: Using a multi-measure, transdisciplinary, cross-sectional design, this study tested whether participant-reported positive parenting, a potential resilience-promoting factor, moderated the association between clinician-rated PTSD symptom severity and a transdiagnostic maladjustment biomarker, fear-potentiated startle (FPS), in a sample of 66 emerging adults (Myears = 18.83, SD = 0.89) with a maltreatment history. We hypothesized that characteristics of effective parenting would moderate the relation between PTSD symptoms and FPS. Results: Results indicated that elevated PTSD, as measured by the CAPS, was associated with a more severe startle reaction. The magnitude of the increase in startle reactivity was moderated by parenting such that those with more positive parenting (Accepting [relative to rejecting]: b = -0.42, p < .001; Psychologically-controlling [relative to autonomy-promoting]: b = 2.96, p = .004) had significantly less reactivity across the task at higher levels of PTSD symptoms. Conclusions: Emerging adults with childhood maltreatment histories, high levels of PTSD symptoms, and who perceive present-day high-quality caregiver support may cope better with novel stressors relative to youth lacking that support, potentially translating to better psychological outcomes.

Doomscrolling during COVID-19: The negative association between daily social and traditional media consumption and mental health symptoms during the COVID-19 pandemic.

OBJECTIVE: Consumption of traditional and social media markedly increased at the start of the COVID-19 pandemic as new information about the virus and safety guidelines evolved. Much of the information concerned restrictions on daily living activities and the risk posed by the virus. The term doomscrolling is used to describe the phenomenon of elevated negative affect after viewing pandemic-related media. The magnitude and duration of this effect, however, is unclear. Furthermore, the effect of doomscrolling likely varies based on prior vulnerabilities for psychopathology, such as a history of childhood maltreatment. It was hypothesized that social and traditional media exposure were related to an increase in depression and PTSD and that this increase was moderated by childhood maltreatment severity. METHOD: Participants completed a baseline assessment for psychopathology and 30 days of daily assessments of depression, PTSD, and pandemic-related media use. RESULTS: Using multilevel modeling, social media exposure was associated with increased depression and PTSD. This association was stronger for those with more severe maltreatment histories. Furthermore, those with more severe baseline psychopathology used more social media during this period. These relations were not observed for traditional media sources. CONCLUSIONS: These results suggest that regular viewing of pandemic-related social media is associated with increases in psychopathology for those with existing vulnerabilities. Those with such vulnerabilities should adopt strategies to limit social media consumption. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Examination of the association between exposure to childhood maltreatment and brain structure in young adults: a machine learning analysis.

Exposure to maltreatment during childhood is associated with structural changes throughout the brain. However, the structural differences that are most strongly associated with maltreatment remain unclear given the limited number of whole-brain studies. The present study used machine learning to identify if and how brain structure distinguished young adults with and without a history of maltreatment. Young adults (ages 18-21, n = 384) completed an assessment of childhood trauma exposure and a structural MRI as part of the IMAGEN study. Elastic net regularized regression was used to identify the structural features that identified those with a history of maltreatment. A generalizable model that included 7 cortical thicknesses, 15 surface areas, and 5 subcortical volumes was identified (area under the receiver operating characteristic curve = 0.71, p < 0.001). Those with a maltreatment history had reduced surface areas and cortical thicknesses primarily in fronto-temporal regions. This group also had larger cortical thicknesses in occipital regions and surface areas in frontal regions. The results suggest childhood maltreatment is associated with multiple measures of structure throughout the brain. The use of a large sample without exposure to adulthood trauma provides further evidence for the unique contribution of childhood trauma to brain structure. The identified regions overlapped with regions associated with psychopathology in adults with maltreatment histories, which offers insights as to how these disorders manifest.

mHealth solutions for early interventions after trauma: improvements and considerations for assessment and intervention throughout the acute post-trauma period.

Interventions administered shortly after a traumatic event have the potential to prevent posttraumatic stress disorder (PTSD) and related mental health conditions. A key challenge in delivering such interventions is understanding how PTSD symptoms develop in the acute post-trauma period, defined as the first 30 days after a trauma. Mobile devices have the potential to transform the way symptoms are assessed and how treatment is delivered in that they can capture the dynamic and nuanced nature of symptom progression after trauma. Symptoms can be assessed through active strategies that require user input, such as self-report, or through passive strategies, such as location information. Adaptive mobile interventions can be tailored to target PTSD symptoms as they appear and ultimately prevent more chronic courses of illness. Considerations for how such mobile strategies should be implemented are discussed.

An Examination of Social Support and PTSD Treatment Response During Prolonged Exposure.

OBJECTIVE: Posttraumatic stress disorder (PTSD) results from exposure to traumatic events. Social support is negatively related to PTSD symptoms in cross-sectional and longitudinal studies. It is unclear, however, if social support is associated with treatment response for PTSD. The current study evaluated the extent to which social support was associated with PTSD treatment response among treatment-seeking veterans receiving prolonged exposure (PE). It was hypothesized that social support would improve PTSD treatment response and that PTSD symptom reduction would improve social support. METHOD: A total of 123 veterans were recruited from a Veterans Affairs Medical Center and evaluated for PTSD, diagnostic-related symptoms, and social support. All participants received PE. Data were analyzed using mixed-effects models. RESULTS: Findings suggested that elevated social support during treatment was associated with greater reductions in PTSD symptoms during treatment. Social support also increased during treatment. Increases in social support were not moderated by PTSD symptoms during treatment. CONCLUSIONS: These findings suggest that social support and PTSD symptoms are related throughout treatment. Social support moderated the change in PTSD symptoms, whereas PTSD symptoms did not moderate changes in social support.

Implementing assessments via mobile during the acute posttrauma period: feasibility, acceptability and strategies to improve response rates.

Background: PTSD is posited to develop in the acute posttrauma period. Few studies have examined psychopathology symptoms within this period due to the demands on individuals in the first month after a trauma. Mobile devices can overcome these barriers. The feasibility of using mobile devices for this purpose, however, is unclear. Objective: The present study evaluated the acceptability of administering PTSD symptom assessments via a mobile application throughout the acute posttrauma period. Method: Participants (N = 90) were recruited from a Level 1 Trauma Center within M = 4.88 days of experiencing a traumatic event. A mobile application was placed on their smartphone that administered a daily self-report assessment of PTSD symptoms for 30 days. Participants were compensated US$1 for each assessment completed. Results: The overall response rate was 61.1% or M = 18.33, SD = 9.12 assessments. Assessments were accessed M = 65.2 minutes after participants were notified to complete them and took M = 2.52 minutes to complete. Participants reported that the daily assessments were not bothersome and were moderately helpful. Conclusion: The present study suggests that using mobile devices to monitor mental health symptoms during the acute posttrauma period is feasible and acceptable. Strategies are needed to determine how to best take advantage of these data once collected.

Antecedentes: Se ha propuesto que el Trastorno por Estrés Post-Traumático (TEPT) se desarrolla en el período post-trauma agudo. Pocos estudios han estudiado síntomas psicopatológicos durante este periodo, debido a las demandas de los individuos en el primer mes después de un trauma. Los dispositivos móviles pueden superar estas barreras. Sin embargo, la viabilidad de usar dispositivos móviles para este propósito no está clara. Objetivo: Este estudio evaluó la aceptabilidad de la administración de evaluaciones de síntomas de TEPT a través de una aplicación para dispositivos móviles durante el periodo agudo post-trauma. Método: Los participantes (N=90) fueron reclutados desde un Centro de Trauma de Nivel 1 con M=4,88 días de haber experimentado un evento traumático. Se instaló una aplicación en sus teléfonos móviles, que administró una evaluación diaria de autoreporte de síntomas de TEPT, por 30 días. Los participantes fueron compensados con US$1 por cada evaluación completada. Resultados: La tasa de respuesta general fue 61,1% o M=18,33, SD=9,12 evaluaciones. Se tuvo acceso a las evaluaciones M=65,2 minutos después que los participantes fueron notificados para completarlas y les tomó M=2,52 minutos completarlas. Los participantes reportaron que las evaluaciones diarias no fueron tediosas y fueron moderadamente útiles. Conclusión: El presente estudio sugiere que usar dispositivos móviles para monitorear síntomas de salud mental durante el periodo post-trauma agudo es viable y aceptable. Se necesitan estrategias para determinar cómo sacar el mayor provecho de estos datos una vez obtenidos.

An exploratory study of mobile messaging preferences by age: Middle-aged and older adults compared to younger adults.

INTRODUCTION: Mobile technologies, such as short message service or text messaging, can be an important way to reach individuals with medical and behavioral health problems who are homebound or geographically isolated. Optimally tailoring messages in short message service interventions according to preferences can enhance engagement and positive health outcomes; however, little is known about the messaging preferences of middle-aged and older adults. METHODS: Utilizing secondary data, global messaging preferences were examined to inform the development of short message service interventions for adults of all ages. Two hundred and seventy-seven adults were recruited through an online labor market. They completed an online survey by evaluating message dyads in 22 content groupings. Dyads were identical in subject matter but structurally or linguistically varied. Participants selected the message in each dyad they would prefer to receive when attempting to meet a self-selected personal goal. Preferences were tested for two age groups ≤50 and 51 and older. RESULTS: Findings reveal adults 51 and older have clear messaging preferences that differ significantly from the younger group for only two content groupings; specifically, they prefer no emoticon to a smiley face emoticon and "you" statements rather than "we" statements. CONCLUSION: Recommendations for optimizing messaging for older adults are reviewed.

Characteristics of online treatment seekers interested in a text messaging intervention for problem drinking: adults 51 and older versus middle-aged and younger adults.

According to the Institute of Medicine, the vast older adult population is estimated to have mental health and substance use disorders at unprecedented rates and will place high demand on an unprepared healthcare system. Online and mobile health interventions, such as text messaging, could provide an alternative form of frontline intervention that could alleviate some of the burden on the healthcare system; however, it remains unknown what are characteristics of adults over 50 who might be interested in a mobile health behavioral intervention and how they may differ from their younger counterparts. To explore the characteristics of those interested in a text messaging intervention by age, we examined screening data for a randomized controlled trial testing a text messaging intervention to reduce drinking among 1,128 hazardous and problem drinkers, aged 21-30, 31-50, and 51 and older. Participants were recruited online through website advertising on alcoholscreening.org and moderationmanagement.org. Results demonstrated that over a quarter of individuals pursuing online and/or text messaging treatment were 51 and older. These participants reported heavy drinking, with significantly greater number of days drinking and binge drinking than the younger groups, but with fewer consequences. Across age groups, a vast majority of participants were female. Findings demonstrate that a group of adult heavy drinkers 51 and older already pursue online treatment and are interested in using a text messaging intervention to help them reduce drinking, suggesting an avenue to engage this population using an alternative frontline treatment.

Tracking post-trauma psychopathology using mobile applications: A usability study.

Trauma exposure markedly increases risk for psychopathology including posttraumatic stress disorder (PTSD). Understanding the course by which PTSD develops after a traumatic event is critical to enhancing early intervention. Although prior work has explored the course of PTSD symptoms in the subsequent months, relatively few studies have explored the course of symptoms in the acute post-trauma period, defined as the 30 days after a traumatic event. A key challenge to conducting such studies is the lack of efficient means to collect data that does not impose significant burden on the participant during this time. The present study evaluated the use of a mobile phone application to collect symptom data during the acute post trauma period. Data was obtained from 23 individuals who experienced a Criterion A traumatic event and were recruited from the Emergency Department of a Level 1 Trauma Center. Participants completed 44.93% of daily assessments across a 30-day period. Responses rates were uncorrelated with PTSD symptoms or depression symptoms at 1-month and 3-month posttrauma. Participants reported that the surveys were moderately helpful and posed minimal burden. These findings suggest that mobile applications can be used to learn about the course of post-trauma recovery.

The intervening role of urgency on the association between childhood maltreatment, PTSD, and substance-related problems.

A range of risk factors lead to opioid use and substance-related problems (SRP) including childhood maltreatment, elevated impulsivity, and psychopathology. These constructs are highly interrelated such that childhood maltreatment is associated with elevated impulsivity and trauma-related psychopathology such as posttraumatic stress disorder (PTSD), and impulsivity-particularly urgency-and PTSD are related. Prior work has examined the association between these constructs and substance-related problems independently and it is unclear how these multi-faceted constructs (i.e., maltreatment types and positive and negative urgency) are associated with one another and SRP. The current study used structural equation modeling (SEM) to examine the relations among childhood maltreatment, trait urgency, PTSD symptoms, and SRP in a sample of individuals with a history of opioid use. An initial model that included paths from each type of childhood maltreatment, positive and negative urgency, PTSD and SRP did not fit the data well. A pruned model with excellent fit was identified that suggested emotional abuse, positive urgency, and negative urgency were directly related to PTSD symptoms and only PTSD symptoms were directly related to SRP. Furthermore, significant indirect effects suggested that emotional abuse and negative urgency were related to SRP via PTSD symptom severity. These results suggest that PTSD plays an important role in the severity of SRP.

A Randomized Controlled Pilot Trial of Different Mobile Messaging Interventions for Problem Drinking Compared to Weekly Drink Tracking.

INTRODUCTION: Recent evidence suggests that text messaging may help to reduce problem drinking as an extension to in-person services, but very little is known about the effectiveness of remote messaging on problem drinking as a stand-alone intervention, or how different types of messages may improve drinking outcomes in those seeking to moderate their alcohol consumption. METHODS: We conducted an exploratory, single-blind randomized controlled pilot study comparing four different types of alcohol reduction-themed text messages sent daily to weekly drink self-tracking texts in order to determine their impact on drinking outcomes over a 12-week period in 152 participants (≈ 30 per group) seeking to reduce their drinking on the internet. Messaging interventions included: weekly drink self-tracking mobile assessment texts (MA), loss-framed texts (LF), gain-framed texts (GF), static tailored texts (ST), and adaptive tailored texts (TA). Poisson and least squares regressions were used to compare differences between each active messaging group and the MA control. RESULTS: When adjusting for baseline drinking, participants in all messaging groups except GF significantly reduced the number of drinks consumed per week and the number of heavy drinking days compared to MA. Only the TA and GF groups were significantly different from MA in reducing the number of drinking days. While the TA group yielded the largest effect sizes on all outcome measures, there were no significant differences between active messaging groups on any outcome measure. 79.6% of individuals enrolled in the study wanted to continue receiving messages for an additional 12 weeks at the end of the study. DISCUSSION: Results of this pilot study indicate that remote automated text messages delivered daily can help adult problem drinkers reduce drinking frequency and quantity significantly more than once-a-week self-tracking messages only, and that tailored adaptive texts yield the largest effect sizes across outcomes compared to MA. Larger samples are needed to understand differences between messaging interventions and to target their mechanisms of efficacy.

Investigation of abbreviated 4 and 8 item versions of the PTSD Checklist 5.

Posttraumatic stress disorder (PTSD) is a significant public health concern associated with marked impairment across the lifespan. Exposure to traumatic events alone, however, is insufficient to determine if an individual has PTSD. PTSD is a heterogeneous diagnosis such that assessment of all 20 symptoms is problematic in time-limited treatment settings. Brief assessment tools that identify those at risk for PTSD and measure symptom severity are needed to improve access to care and assess treatment response. The present study evaluated abbreviated measures of PTSD symptoms derived from the PTSD Checklist for DSM-5 (PCL-5) - a 20-item validated measure of PTSD symptoms - across two studies. In the first, using a community sample of adults exposed to a traumatic event, 4-and 8-item versions of the PCL-5 were identified that were highly correlated with the full PCL-5. In the second, using a sample of combat veterans, the 4-and 8-item measures had comparable diagnostic utility to the total-scale PCL-5. These results provide support for an abbreviated measure of the PCL-5 as an alternative to the 20-item total scale.

Examination of the interrelations between the factors of PTSD, major depression, and generalized anxiety disorder in a heterogeneous trauma-exposed sample using DSM 5 criteria.

Exposure to traumatic events places individuals at high risk for multiple psychiatric disorders, including posttraumatic stress disorder (PTSD), major depressive disorder (MDD), and generalized anxiety disorder (GAD). The high rates of comorbidity among these conditions merit evaluation in order to improve diagnosis and treatment approaches. The current study evaluated the association between PTSD, MDD, and GAD factors as presented in the DSM 5. 602 trauma-exposed individuals who experienced an event that met Criterion A for the DSM 5 PTSD diagnosis were recruited through Amazon.com, Inc.'s Mechanical Turk (MTurk) to complete an assessment of the impact of stressful events on their lives. High interrelations were detected among the 4 PTSD factors, 2 MDD factors that corresponded to somatic and affective symptoms, and the single GAD factor. The affective factor of MDD was most strongly related to the emotional numbing factor of PTSD, whereas the somatic factor of MDD was most strongly related to the hyperarousal factor of PTSD. The GAD factor was most strongly related to the hyperarousal factor of PTSD, relative to the other PTSD factors. The strength of the interrelations between factors of the three disorders is largely a function of the overlap in symptoms and calls into question the uniqueness of negative affective symptoms of PTSD, MDD and GAD. Results suggest that improved understanding of the trauma reaction requires a focus on the unique presentation of each individual and assessment of multiple disorders.