Trends in mental health outcomes and combat exposure among US marines returning from Iraq, Afghanistan or other deployments, 2004-13.

BACKGROUND: As of 2015, more than 2.7 million US military Veterans have served in support of the Global War on Terror. The negative sequelae associated with deployment stressors and related traumas are well-documented. Although data on mental health issues are routinely collected from service members returning from deployment, these data have not been made publicly available, leaving researchers and clinicians to rely on convenience samples, outdated studies and small sample sizes. METHODS: Population-based data of US Marines returning from deployment between 2004 and 2013 were analyzed, using the Post-Deployment Health Assessment. RESULTS: Rates of Marines returning from Iraq who screened positive for depression ranged from 19.31 to 30.02%; suicidal ideation ranged from 0 to 1.44%. Marines screening positive for PTSD ranged from 3.00 to 12.41%; combat exposure ranged from 15.58 to 55.12%. Depression was indicated for between 12.54 and 30.04% of Marines returning from Afghanistan, while suicidal ideation ranged from 0 to 5.33%. PTSD percentages ranged from 6.64 to 18.18%; combat exposure ranged between 42.92 and 75%. CONCLUSION: Our results support the heterogeneity of experiences and mental health sequelae of service members returning from deployments. Outcomes for Afghanistan and Iraq Veterans fluctuate with changes in OPTEMPO across theaters over time.

Predictors of Posttraumatic Stress Disorder, Anxiety Disorders, Depressive Disorders, and Any Mental Health Condition Among U.S. Soldiers and Marines, 2001-2011.

Understanding mental health disorder diagnosis and treatment seeking among active-duty military personnel is a topic with both clinical and policy implications. It has been well documented in military populations that individual-level military experience, including deployment history and combat exposure, influences mental health outcomes, but the impact of unit-level factors is less well understood. In the current study, we used administrative longitudinal data to examine a comprehensive set of unit- and individual-level predictors of posttraumatic stress disorder (PTSD), non-PTSD anxiety disorders, depressive disorders, and overall mental health diagnoses among Army and Marines Corps personnel. Using Cox survival models for time-dependent variables, we analyzed time from military accession (between January 1, 2001 and December 31, 2011) until first mental health diagnosis for 773,359 soldiers and 332,093 Marines. Prior diagnosis of a substance abuse disorder during one's military career, hazard ratios (HRs) = 1.68-3.10, and cumulative time spent deployed, HRs = 1.11-2.04, were the most predictive risk factors for all outcomes. Male sex, HRs = 0.35-0.57, and officer rank, HRs = 0.13-0.23, were the most protective factors. Unit-level rate of high deployment stress was a small but significant predictor of all outcomes after controlling for individual-level deployment history and other predictors, HRs = 1.01-1.05. Findings suggest both unit- and individual-level risk and protective factors of mental health diagnoses associated with treatment seeking. Clinical, including mental health assessment and management, and policy implications related to the military environment and the individual as it relates to mental health disorders are discussed.

Getting less of what you want: reductions in statistical power and increased bias when categorizing medication adherence data.

Medication adherence is thought to be the principal clinical predictor of positive clinical outcomes, not only for serious mental illnesses such as schizophrenia, bipolar disorder, or depression, but also for physical conditions such as diabetes. Consequently, research on medication often looks not only at medication condition (e.g., placebo, standard medication, investigative medication), but also at adherence in taking those medications within each medication condition. The percentage (or proportion) scale is one of the more frequently employed and easily interpretable measures. Patients can be 0 % adherent, 100 % adherent, or somewhere in between. For simplicity, many reported adherence analyses dichotomize or trichotomize the adherence predictor when estimating its effect on outcomes of interest. However, the methodological literature shows that the practice of categorizing continuously distributed predictors reduces statistical power at best and, at worst, can severely bias parameter estimates. This can result in inflated Type I errors (false positive acceptance of null adherence effects) or Type II errors (false negative rejection of true adherence effects). We extend the methodological literature on categorization to the construct of adherence. The measurement scale of adherence leads to a diverse family of potential distributions including uniform, n-shaped, u-shaped (i.e., bimodal), positively skewed, and negatively skewed. Using a simulation study, we generated negative, null, and positive "true" effects of adherence on simulated continuous and binary outcomes. We then estimated the adherence effect with and without categorizing the adherence variable. We show how parameter estimates and standard errors can be severely biased when categorizing adherence. The categorization of adherence is shown to cause null effects to become positive or negative depending on the distribution of the simulated adherence variable, inflating Type I errors. When the adherence effect was significantly different from zero, categorization can render the effect null, inflating Type II errors. We recommend that adherence be measured continuously and analyzed without categorization when using it as a predictor in regression models.

Mental health correlates of drug treatment among women who use methamphetamine.

BACKGROUND AND OBJECTIVES: Women comprise over one-third of people who use methamphetamine in the United States and have a higher prevalence of negative mental health consequences of methamphetamine use than men. Yet, few studies have investigated the mental health correlates of drug treatment among this population. We examined the relationship between mental disorders, mental health treatment, and drug treatment among women who use methamphetamine. METHODS: We used respondent-driven sampling to recruit women who use methamphetamine (N = 322) for a survey about mental disorders, mental health treatment, drug use and treatment, and sociodemographic factors. Bivariate and multivariable logistic regression analyses were conducted. RESULTS: Bivariate analyses indicated that race/ethnicity, mental health treatment, and presence and number of mental disorders were associated with drug treatment. Multivariable analyses revealed that women who reported mental health treatment during a 6-month period had almost twice the odds of also reporting drug treatment than other women (AOR = 1.90; 95% CI = 1.11, 3.25), after controlling for mental disorders and race/ethnicity. CONCLUSION: Among women who use methamphetamine, participation in one service system (mental health treatment) is a key factor in increasing the odds of participation in another service system (drug treatment). Further research should establish the temporal association between mental health and drug treatment. SCIENTIFIC SIGNIFICANCE: The present study demonstrates the association between mental health treatment and drug treatment, above and beyond presence or number of mental disorders, and provides direction for drug treatment providers seeking to improve treatment entry and participation among women who use methamphetamine.

Community violence perpetration and victimization among adults with mental illnesses.

OBJECTIVES: In a large heterogeneous sample of adults with mental illnesses, we examined the 6-month prevalence and nature of community violence perpetration and victimization, as well as associations between these outcomes. METHODS: Baseline data were pooled from 5 studies of adults with mental illnesses from across the United States (n = 4480); the studies took place from 1992 to 2007. The MacArthur Community Violence Screening Instrument was administered to all participants. RESULTS: Prevalence of perpetration ranged from 11.0% to 43.4% across studies, with approximately one quarter (23.9%) of participants reporting violence. Prevalence of victimization was higher overall (30.9%), ranging from 17.0% to 56.6% across studies. Most violence (63.5%) was perpetrated in residential settings. The prevalence of violence-related physical injury was approximately 1 in 10 overall and 1 in 3 for those involved in violent incidents. There were strong associations between perpetration and victimization. CONCLUSIONS: Results provided further evidence that adults with mental illnesses experienced violent outcomes at high rates, and that they were more likely to be victims than perpetrators of community violence. There is a critical need for public health interventions designed to reduce violence in this vulnerable population.

Effectiveness of antipsychotic drugs against hostility in patients with schizophrenia in the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) study.

INTRODUCTION: Aggressive behavior can be a dangerous complication of schizophrenia. Hostility is related to aggression. This study aimed to compare the effects of olanzapine, perphenazine, risperidone, quetiapine, and ziprasidone on hostility in schizophrenia. METHODS: We used the data that were acquired in the 18-month Phase 1 of the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) study. We analyzed the scores of the Positive and Negative Syndrome Scale (PANSS) hostility item in a subset of 614 patients who showed at least minimal hostility (a score ≥ 2) at baseline. RESULTS: The primary analysis of hostility indicated an effect of difference between treatments (F(4,1487) = 7.78, P < 0.0001). Olanzapine was significantly superior to perphenazine and quetiapine at months 1, 3, 6, and 9. It was also significantly superior to ziprasidone at months 1, 3, and 6, and to risperidone at months 3 and 6. DISCUSSION: Our results are consistent with those of a similar post-hoc analysis of hostility in first-episode subjects with schizophrenia enrolled in the European First-Episode Schizophrenia Trial (EUFEST) trial, where olanzapine demonstrated advantages compared with haloperidol, quetiapine, and amisulpride. CONCLUSION: Olanzapine demonstrated advantages in terms of a specific antihostility effect over the other antipsychotics tested in Phase 1 of the CATIE trial.

From Risk Assessment to Risk Management: Matching Interventions to Adolescent Offenders' Strengths and Vulnerabilities.

Though considerable research has examined the validity of risk assessment tools in predicting adverse outcomes in justice-involved adolescents, the extent to which risk assessments are translated into risk management strategies and, importantly, the association between this link and adverse outcomes has gone largely unexamined. To address these shortcomings, the Risk-Need-Responsivity (RNR) model was used to examine associations between identified strengths and vulnerabilities, interventions, and institutional outcomes for justice-involved youth. Data were collected from risk assessments completed using the Short-Term Assessment of Risk and Treatability: Adolescent Version (START:AV) for 120 adolescent offenders (96 boys and 24 girls). Interventions and outcomes were extracted from institutional records. Mixed evidence of adherence to RNR principles was found. Accordant to the risk principle, adolescent offenders judged to have more strengths had more strength-based interventions in their service plans, though adolescent offenders with more vulnerabilities did not have more interventions targeting their vulnerabilities. With respect to the need and responsivity principles, vulnerabilities and strengths identified as particularly relevant to the individual youth's risk of adverse outcomes were addressed in the service plans about half and a quarter of the time, respectively. Greater adherence to the risk and need principles was found to predict significantly the likelihood of externalizing outcomes. Findings suggest some gaps between risk assessment and risk management and highlight the potential usefulness of strength-based approaches to intervention.

Measurement of predictive validity in violence risk assessment studies: a second-order systematic review.

The objective of the present review was to examine how predictive validity is analyzed and reported in studies of instruments used to assess violence risk. We reviewed 47 predictive validity studies published between 1990 and 2011 of 25 instruments that were included in two recent systematic reviews. Although all studies reported receiver operating characteristic curve analyses and the area under the curve (AUC) performance indicator, this methodology was defined inconsistently and findings often were misinterpreted. In addition, there was between-study variation in benchmarks used to determine whether AUCs were small, moderate, or large in magnitude. Though virtually all of the included instruments were designed to produce categorical estimates of risk - through the use of either actuarial risk bins or structured professional judgments - only a minority of studies calculated performance indicators for these categorical estimates. In addition to AUCs, other performance indicators, such as correlation coefficients, were reported in 60% of studies, but were infrequently defined or interpreted. An investigation of sources of heterogeneity did not reveal significant variation in reporting practices as a function of risk assessment approach (actuarial vs. structured professional judgment), study authorship, geographic location, type of journal (general vs. specialized audience), sample size, or year of publication. Findings suggest a need for standardization of predictive validity reporting to improve comparison across studies and instruments.

Characteristics of START assessments completed in mental health jail diversion programs.

Many different instruments have been developed to assist in the assessment of risk for violence and other criminal behavior. However, there is limited evidence regarding how these instruments work in the 'real world'. Even less is known about how these instruments might work for assessing risk in jail diversion populations, whether in research or practice. To address these knowledge gaps, the present study examined the characteristics of risk assessments completed by program staff (n=10) on 96 mental health jail diversion clients (72 men and 24 women) using the Short-Term Assessment of Risk and Treatability (START). The findings provide preliminary support for the reliability and validity of START assessments completed in jail diversion programs, the first evidence of the transportability of START outside psychiatric settings, and further evidence regarding the reliability and validity of START assessments completed in the field. They additionally support the consideration of an eighth, general offending risk domain in START assessments.

Lifetime Suicide-Related Behavior, Violent Victimization, and Behavioral Health Outcomes: Results From a Vulnerable Population Needs Assessment.

This study is concerned with two risk factors that have been independently associated with poor behavioral health: (a) lifetime suicide-related behavior (SRB) and (b) interpersonal violence victimization experiences. The purpose of this article was to assess whether the combination of SRB (ideation, attempt) and violent victimization exacerbates behavioral health symptom risk. This pattern is examined across three vulnerable population samples: community-based adults, college students, and bondage and sadomasochism (BDSM) community members. Data from a community health and sexuality survey (n = 2,175) were collected as a health needs assessment in partnership with the National Coalition for Sexual Freedom; latent class analysis (LCA) was then employed to identify intersectionality. This paper builds on prior findings yielding two distinct violence-related classes: (a) SRB only and (b) violent victimization + SRB. Controlling for demographic covariates, analyses revealed a consistent pattern in which the violent victimization + SRB subgroup displayed significantly worse behavioral health outcomes, including symptoms of depression, anxiety, general distress, and posttraumatic stress. Membership in any of the three available samples did not moderate the latent class-behavioral health associations, suggesting the additive impact of lifetime victimization + SRB is equitable across samples. Results are consistent with social-ecological framing of shared suicide-interpersonal violence falling under the same category of public health concerns sharing risk factors and health outcomes.