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Introduction Adjustment disorder (AD) is a time-delimited disorder characterized by excessive emotional distress or impaired functioning in response to an identifiable stressor. Although it is commonly diagnosed in mental health settings, its impact on occupational, social and other areas of functioning is not well understood. As a subthreshold disorder that is frequently diagnosed in conjunction with other physical and mental health disorders, the extent of its contribution to functional impairment may be obscured. During military service, research suggests AD is frequently diagnosed in early-service trainees. To help elucidate the relationship between AD and functional outcome, we explored 2 factors that may be associated with the rate of separation from service in U.S. active duty service members (SMs) with an AD diagnosis: previous mental health diagnoses and time in service when SMs receive an incident AD diagnosis (IADx). Materials and Methods Twenty-thousand SMs with an IADx were grouped by whether or not this was their first mental health diagnosis received in the military. To assess functional impairment, the 2 groups were compared on rate of separation. Those without prior diagnoses were then stratified into 5 groups based on length of time from military entrance to receipt of IADx and were further analyzed for separation rates. The Cox model was used to determine hazard ratios and create survival curves. The study was determined to be “not human subjects research.” Results Nearly half (46.4%) of SMs with an IADx previously had received a mental health diagnosis and had an increased risk of separation [hazard ratio = 1.25 (95% confidence interval: 1.207-1.286)]. Of SMs with IADx as their first diagnosis, 19.3% were diagnosed during the first 6 months of service and had the highest risk of separating [hazard ratio = 1.48 (1.381-1.589)], with a 60% probability of separating within 2 years of diagnosis. Those receiving it during the second 6 months of service (16.2%), second year (20.1%), or third year (18.2%) had approximately a 47% probability of separating within 2 years. Conclusions Previous mental health diagnoses and time in service when diagnosed appear to be important factors associated with functional impairment for SMs with AD. Nearly half of those with an IADx had previously received diagnoses for mood, anxiety, and other disorders and were at higher risk of separation following IADx. Our findings are based on diagnoses entered in electronic health records, so we cannot identify the nature of the stressor that precipitated AD. Nonetheless, early IADx predicted the fastest rate of separation, and it may be an opportune time for interventions to reduce its impact on functional outcomes.

BACKGROUND: Present‐centered therapy (PCT) is a non‐trauma, manualized psychotherapy for adults with post‐traumatic stress disorder (PTSD). PCT was originally designed as a treatment comparator in trials evaluating the effectiveness of trauma‐focused cognitive‐behavioral therapy (TF‐CBT). Recent trials have indicated that PCT may be an effective treatment option for PTSD and that patients may drop out of PCT at lower rates relative to TF‐CBT. OBJECTIVES: To assess the effects of PCT for adults with PTSD. Specifically, we sought to determine whether (1) PCT is more effective in alleviating symptoms relative to control conditions, (2) PCT results in similar alleviation of symptoms compared to TF‐CBT, based on an a priori minimally important differences on a semi‐structured interview of PTSD symptoms, and (3) PCT is associated with lower treatment dropout as compared to TF‐CBT. SEARCH METHODS: We searched the Cochrane Common Mental Disorders Controlled Trials Register, the Cochrane Library, Ovid MEDLINE, Embase, PsycINFO, PubMed, and PTSDpubs (previously called the Published International Literature on Traumatic Stress (PILOTS) database) (all years to 15 February 2019 search). We also searched the World Health Organization (WHO) trials portal (ICTRP) and ClinicalTrials.gov to identify unpublished and ongoing trials. Reference lists of included studies and relevant systematic reviews were checked. Grey literature searches were also conducted to identify dissertations and theses, clinical guidelines, and regulatory agency reports. SELECTION CRITERIA: We selected all randomized clinical trials (RCTs) that recruited adults diagnosed with PTSD to evaluate PCT compared to TF‐CBT or a control condition. Both individual and group PCT modalities were included. The primary outcomes of interest included reduced PTSD severity as determined by a clinician‐administered measure and treatment dropout rates. DATA COLLECTION AND ANALYSIS: We complied with the Cochrane recommended standards for data screening and collection. Two review authors independently screened articles for inclusion and extracted relevant data from eligible studies, including the assessment of trial quality. Random‐effects meta‐analyses, subgroup analyses, and sensitivity analyses were conducted using mean differences (MD) and standardized mean differences (SMD) for continuous data or risk ratios (RR) and risk differences (RD) for dichotomous data. To conclude that PCT resulted in similar reductions in PTSD symptoms relative to TF‐CBT, we required a MD of less than 10 points (to include the 95% confidence interval) on the Clinician‐Administered PTSD Scale (CAPS). Five members of the review team convened to rate the quality of evidence across the primary outcomes. Any disagreements were resolved through discussion. Review authors who were investigators on any of the included trials were not involved in the qualitative or quantitative syntheses. MAIN RESULTS: We included 12 studies (n = 1837), of which, three compared PCT to a wait‐list/minimal attention (WL/MA) group and 11 compared PCT to TF‐CBT. PCT was more effective than WL/MA in reducing PTSD symptom severity (SMD ‐0.84, 95% CI ‐1.10 to ‐0.59; participants = 290; studies = 3; I² = 0%). We assessed the quality of this evidence as moderate. The results of the non‐inferiority analysis comparing PCT to TF‐CBT did not support PCT non‐inferiority, with the 95% confidence interval surpassing the clinically meaningful cut‐off (MD 6.83, 95% CI 1.90 to 11.76; 6 studies, n = 607; I² = 42%). We assessed this quality of evidence as low. CAPS differences between PCT and TF‐CBT attenuated at 6‐month (MD 1.59, 95% CI ‐0.46 to 3.63; participants = 906; studies = 6; I² = 0%) and 12‐month (MD 1.22, 95% CI ‐2.17 to 4.61; participants = 485; studies = 3; I² = 0%) follow‐up periods. To confirm the direction of the treatment effect using all eligible trials, we also evaluated PTSD SMD differences. These results were consistent with the primary MD outcomes, with meaningful effect size differences between PCT and TF‐CBT at post‐treatment (SMD 0.32, 95% CI 0.08 to 0.56; participants = 1129; studies = 9), but smaller effect size differences at six months (SMD 0.17, 95% CI 0.05 to 0.29; participants = 1339; studies = 9) and 12 months (SMD 0.17, 95% CI 0.03 to 0.31; participants = 728; studies = 5). PCT had approximately 14% lower treatment dropout rates compared to TF‐CBT (RD ‐0.14, 95% CI ‐0.18 to ‐0.10; participants = 1542; studies = 10). We assessed the quality of this evidence as moderate. There was no evidence of meaningful differences on self‐reported PTSD (MD 4.50, 95% CI 3.09 to 5.90; participants = 983; studies = 7) or depression symptoms (MD 1.78, 95% CI ‐0.23 to 3.78; participants = 705; studies = 5) post‐treatment. AUTHORS' CONCLUSIONS: Moderate‐quality evidence indicates that PCT is more effective in reducing PTSD severity compared to control conditions. Low quality of evidence did not support PCT as a non‐inferior treatment compared to TF‐CBT on clinician‐rated post‐treatment PTSD severity. The treatment effect differences between PCT and TF‐CBT may attenuate over time. PCT participants drop out of treatment at lower rates relative to TF‐CBT participants. Of note, all of the included studies were primarily designed to test the effectiveness of TF‐CBT which may bias results away from PCT non‐inferiority.The current systematic review provides the most rigorous evaluation to date to determine whether PCT is comparably as effective as TF‐CBT. Findings are generally consistent with current clinical practice guidelines that suggest that PCT may be offered as a treatment for PTSD when TF‐CBT is not available.

Combining alcohol and caffeine is associated with increased alcohol consumption, but no prospective experimental studies have examined whether added caffeine increases alcohol consumption.This study examined how caffeine alters alcohol self-administration and subjective reinforcing effects in healthy adults.Thirty-one participants completed six double-blind alcohol self-administration sessions: three sessions with alcohol only (e.g., beverage A) and three sessions with alcohol and caffeine (e.g., beverage B). Participants chose which beverage to consume on a subsequent session (e.g., beverage A or B). The effects of caffeine on overall beverage choice, number of self-administered drinks, subjective ratings (e.g., Biphasic Alcohol Effects Scale), and psychomotor performance were examined.A majority of participants (65%) chose to drink the alcohol beverage containing caffeine on their final self-administration session. Caffeine did not increase the number of self-administered drinks. Caffeine significantly increased stimulant effects, decreased sedative effects, and attenuated decreases in psychomotor performance attributable to alcohol. Relative to nonchoosers, caffeine choosers reported overall lower stimulant ratings and reported greater drinking behavior prior to the study.Although caffeine did not increase the number of self-administered drinks, most participants chose the alcohol beverage containing caffeine. Given the differences in subjective ratings and pre-existing differences in self-reported alcohol consumption for caffeine choosers and nonchoosers, these data suggest that decreased stimulant effects of alcohol and heavier self-reported drinking may predict subsequent choice of combined caffeine and alcohol beverages. These predictors may identify individuals who would benefit from efforts to reduce risk behaviors associated with combining alcohol and caffeine.

Background To promote evidence-based health care, clinical providers and decision makers rely on scientific evidence to inform best practices. Evidence synthesis (ES) is a key component of this process that serves to inform health care decisions by integrating and contextualizing research findings across studies. Objective This paper describes the process of establishing an ES capability in the Military Health System dedicated to psychological health topics. Research designs The goal of establishing the current ES capability was to facilitate evidence-based decision-making among clinicians, clinic managers, research funders, and policymakers, through the production and dissemination of trustworthy ES reports. We describe how we developed this capability, provide an overview of the types of evidence syntheses products we use to respond to different stakeholders, and detail the procedures established for selecting and prioritizing synthesis topics. Results We report on the productivity, acceptability, and impact of our efforts. Our reports were used by a variety of stakeholders and working groups, briefed to major committees, included in official reports and policies, and cited in clinical practice guidelines and the peer-reviewed literature. Conclusions Our experiences thus far suggest that the current ES capability offers a needed service within our health system. Our framework may help inform other agencies interested in developing or sponsoring a similar capability.

Introduction: Achieving adequate retention rates in clinical trials is essential to ensuring meaningful results. Although financial reimbursement is an effective strategy to increase participant retention, current policies restrict the use of federal funds to reimburse U.S. active duty Service members for research participation. It is unknown whether permitting financial reimbursement among this population would improve trial retention rates. A recent randomized effectiveness trial received approval to provide reimbursement to Service member participants several months after recruitment began, creating a natural experiment to study the effects of financial reimbursement on retention. Materials and methods: Active duty Service members recruited from six U.S. military treatment facilities (N = 666) were enrolled in a collaborative care study and completed assessments at baseline, three-, six-, and 12-months. Data on study assessment completion rates at three- and six-months were analyzed using the mixed-effects binary logit model to determine the probabilities of completing assessments based on reimbursement status. Results: Participants who received reimbursement were significantly more likely to complete study assessments at both time-points than participants who did not receive reimbursement (p

Background Caffeine Use Disorder was added to DSM-5 as a diagnosis for further research, but few studies have been conducted to identify effective treatments. This randomized, controlled clinical trial examined the efficacy of a manual-only treatment program for caffeine cessation and reduction among individuals seeking treatment for problematic caffeine use. Methods Individuals meeting at least two proposed DSM-5 diagnostic criteria for Caffeine Use Disorder were randomly assigned to receive either immediate treatment or treatment delayed by 7 weeks. The treatment consisted of a manual containing information about caffeine and instructions for gradually reducing caffeine consumption over a period of 6 weeks, with no counseling or additional support. Caffeine consumption and caffeine-related distress were assessed before treatment, 7 weeks after receiving the treatment manual (end-of-treatment), and 20 weeks post-treatment. Results The manual-only treatment resulted in significant reductions in participants’ self-reported caffeine consumption and caffeine-related distress at end-of-treatment that were sustained at 20-weeks post-treatment. Salivary caffeine levels and community observers corroborated the self-reported reductions in caffeine consumption. Comparisons between the immediate and delayed treatment groups suggest the reductions in caffeine consumption were attributable to the manualized treatment rather than spontaneous with the passage of time. Conclusions The present study provides evidence that a gradual caffeine reduction and cessation program may be successfully implemented using a manual-only approach. This time- and cost-effective intervention may be easily adopted by practitioners with limited time or experience with behavioral interventions who want to encourage their patients to reduce caffeine consumption.

INTRODUCTION Since the 1991 Gulf War, mental health conditions of military Service members have received increasing public attention and are a major focus for the U.S. government. A substantial proportion of military health research has been devoted to examining the pattern of change over time in mental health symptoms and diagnostic status among Service members. Unfortunately, many researchers continue to use somewhat obsolete methods to analyze trends and transitions in mental health, despite advances in statistical methodology that permit attention to the unique features inherent in longitudinal data. MATERIALS AND METHODS This article defines and describes data features and structures, and basic specifications of longitudinal data analysis to military health researchers. In particular, we highlight the respective impacts of missing data and intra-individual correlation on longitudinal data analysis. Based on the descriptions of the basic features in longitudinal data, we introduce several popular techniques to analyze a variety of longitudinal data types. RESULTS We demonstrate that traditional analytic techniques do not properly account for missing data and intra-individual correlation inherent in longitudinal data. Failure to use correct, appropriate models and methods can result in major bias in analytic results and mental health predictions. CONCLUSIONS Failure to use correct, appropriate models and methods in longitudinal data analysis can have unfortunate repercussions on a military health system that needs accurate findings to support valid policy decisions. By applying adequate models and methods, military health researchers will be able to better understand the complex interactions of biological, psychological, and social factors on mental health trends and transitions among military Service members.

BACKGROUND: Despite the growing consensus that collaborative care is effective, limited research has focused on the importance of collaborative care fidelity as it relates to mental health clinical outcomes. OBJECTIVE: To assess the relationship of collaborative care fidelity on symptom trajectories and clinical outcomes among military service members enrolled in a multi-site randomized controlled trial for the treatment of depression and posttraumatic stress disorder (PTSD). DESIGN: Study data for our analyses came from a two-parallel arm randomized trial that evaluated the effectiveness of a centralized collaborative care model compared to the existing collaborative care model for the treatment of PTSD and depression. All patients were included in the analyses to evaluate how longitudinal trajectories of PTSD and depression scores differed across various collaborative care fidelity groupings. PARTICIPANTS: A total of 666 US Military Service members screening positive for probable PTSD or depression through primary care. MAIN MEASURES: Disease registry data from a web-based clinical management support tool was used to measure collaborative care fidelity for patients enrolled in the trial. Participant depression and PTSD symptoms were collected independently from research survey assessments at four time points across the 1-year trial period. Treatment utilization records were acquired from the Military Health System administrative records to determine mental health service use. KEY RESULTS: Consistent and late fidelity to the collaborative care model predicted an improving symptom trajectory over the course of treatment. This effect was more pronounced for patients with depression than for patients with PTSD. CONCLUSIONS: Long-term fidelity to key collaborative care elements throughout care episodes may improve depression outcomes, particularly for patients with elevated symptoms. More controlled research is needed to further understand the influence of collaborative care fidelity on clinical outcomes. TRIAL REGISTRATION: Clinicaltrials.gov Identifier NCT01492348

Previous investigations have identified individuals who meet criteria for Diagnostic and Statistical Manual of Mental Disorders (4th ed., text rev.; DSM-IV-TR; American Psychiatric Association, 2000) substance dependence as applied to caffeine, but there is little research on treatments for caffeine dependence. This study aimed to thoroughly characterize individuals who are seeking treatment for problematic caffeine use. Ninety-four individuals who identified as being psychologically or physically dependent on caffeine, or who had tried unsuccessfully to modify caffeine consumption participated in a face-to-face diagnostic clinical interview. They also completed measures concerning caffeine use and quitting history, reasons for seeking treatment, and standardized self-report measures of psychological functioning. Caffeine treatment seekers (mean age 41 years, 55% women) consumed an average of 548 mg caffeine per day. The primary source of caffeine was coffee for 50% of the sample and soft drinks for 37%. Eighty-eight percent reported prior serious attempts to modify caffeine use (mean 2.7 prior attempts), and 43% reported being advised by a medical professional to reduce or eliminate caffeine. Ninety-three percent met criteria for caffeine dependence when generic DSM-IV-TR substance dependence criteria were applied to caffeine use. The most commonly endorsed criteria were withdrawal (96%), persistent desire or unsuccessful efforts to control use (89%), and use despite knowledge of physical or psychological problems caused by caffeine (87%). The most common reasons for wanting to modify caffeine use were health-related (59%) and not wanting to be dependent on caffeine (35%). This investigation reveals that there are individuals with problematic caffeine use who are seeking treatment and suggests that there is a need for effective caffeine dependence treatments.

The authors of this article developed new approaches to present analytic results from mixed-effects binary logit models in longitudinal data analysis. We first described basic specifications of mixed-effects logit models, the derivation of the fixed and the random effects, and nonlinear predictions of the response probability and the corresponding standard errors. Particular attention was paid to the interpretability of the conventional odds ratio in the longitudinal setting. The authors contended that without information on averaging of the random effects for two population subgroups of interest, the regression coefficient of an explanatory variable and its antilog in mixed-effects binary logit models are not interpretable. We recommended the computation of the conditional effect and the conditional odds ratio to aid in displaying a covariate’s effect on the longitudinal binary response. An empirical illustration was provided to demonstrate how to create interpretable summary measures for aiding in the interpretation of the results from mixed-effects logit models when analyzing binary longitudinal data.

Among chronic smokers, individual differences in subjective reactions to smoking may characterize important facets of nicotine dependence that relate to abstinence-induced craving, withdrawal symptom profiles, and risk for relapse. Although the negative reinforcing properties of smoking have achieved prominent positions in models of relapse (Baker, Brandon, & Chassin, 2004), vulnerability to relapse risk may also arise from seeking positive reinforcement from smoking (Shiffman & Kirchner, 2009). In this study, 183 cessation-motivated smokers provided subjective craving, positive and negative reactions to standardized cigarettes following overnight abstinence. Level of craving, negative mood, and positive mood after overnight abstinence were significantly predictive of withdrawal on quit-day. Increased positive reactions to smoking were uniquely predictive of relapse after quitting (Hazard Ratio = 1.22, p < .001). Individual differences in positive reactions to smoking may be important markers of neurobiological systems that promote dependence and interfere with cessation efforts.

Objective The goal of the present investigation was to develop and test a brief therapist-guided manualized treatment for problematic caffeine use, including cognitive-behavioral strategies and 5 weeks of progressively decreased consumption. Method Individuals seeking treatment for problematic caffeine use (mean daily caffeine consumption of 666 mg at baseline) were randomized using a waitlist-control design to receive immediate treatment (N = 33) or delayed treatment (∼6 weeks later; N = 34). A 1-hr treatment session designed to help individuals quit or reduce caffeine consumption was provided by a trained counselor along with a take-home booklet. After the treatment session, participants completed daily diaries of caffeine consumption for 5 weeks. They returned for follow-up assessments at 6, 12, and 26 weeks and had a telephone interview at 52-weeks posttreatment. Results Treatment resulted in a significant reduction in self-reported caffeine use and salivary caffeine levels. No significant posttreatment increases in caffeine use were observed for up to 1 year follow-up. Comparisons to the waitlist-control condition revealed that reductions in caffeine consumption were due to treatment and not the passing of time, with a treatment effect size of R² = .35 for the model. Conclusion A brief 1-session manualized intervention with follow-up was efficacious at reducing caffeine consumption. Future researchers should replicate and extend these findings, as well as consider factors affecting dissemination of treatment for problematic caffeine use to those in need.

The objective of this study was to determine whether adolescent smokers, who varied in their smoking histories and symptoms of nicotine dependence, exhibit any decrease in puff volume and duration similar to that typically seen in dependent adolescent and adult smokers. Moreover, we examined whether puffing trajectories were moderated by individual difference factors, as well as whether puffing topography over the course of smoking a single cigarette was predictive of an escalation in dependence symptoms.We assessed smoking topography (puff number, duration, volume, maximum flow rate [velocity], and inter-puff interval) over the course of smoking a single cigarette in a sample of 78 adolescent light smokers, using hierarchical linear modeling. We examined moderators (anxiety, depression, nicotine dependence) of the topographic trajectories, as well as whether smoking topography predicted any change in dependence over a 2-year period.Puff volume and puff duration decreased over the course of smoking the cigarette, whereas puff velocity and inter-puff interval increased. Slopes for puff volume and duration were moderated by anxiety and depressive symptoms. Moreover, individuals with a less "typical" topography pattern (exhibited stable or increasing volume and duration over the course of smoking the cigarette) demonstrated a heightened dependence escalation in the subsequent 2 years.Our findings suggest that adolescent light smokers self-regulate nicotine during the course of smoking a single cigarette, similar to that reported in dependent adolescent and adult smokers. However, single cigarette self-regulation was influenced by certain affective factors. Implications of these findings and future directions for adolescent smoking research are discussed.