Development of a model to predict antidepressant treatment response for depression among Veterans.

BACKGROUND: Only a limited number of patients with major depressive disorder (MDD) respond to a first course of antidepressant medication (ADM). We investigated the feasibility of creating a baseline model to determine which of these would be among patients beginning ADM treatment in the US Veterans Health Administration (VHA). METHODS: A 2018-2020 national sample of n = 660 VHA patients receiving ADM treatment for MDD completed an extensive baseline self-report assessment near the beginning of treatment and a 3-month self-report follow-up assessment. Using baseline self-report data along with administrative and geospatial data, an ensemble machine learning method was used to develop a model for 3-month treatment response defined by the Quick Inventory of Depression Symptomatology Self-Report and a modified Sheehan Disability Scale. The model was developed in a 70% training sample and tested in the remaining 30% test sample. RESULTS: In total, 35.7% of patients responded to treatment. The prediction model had an area under the ROC curve (s.e.) of 0.66 (0.04) in the test sample. A strong gradient in probability (s.e.) of treatment response was found across three subsamples of the test sample using training sample thresholds for high [45.6% (5.5)], intermediate [34.5% (7.6)], and low [11.1% (4.9)] probabilities of response. Baseline symptom severity, comorbidity, treatment characteristics (expectations, history, and aspects of current treatment), and protective/resilience factors were the most important predictors. CONCLUSIONS: Although these results are promising, parallel models to predict response to alternative treatments based on data collected before initiating treatment would be needed for such models to help guide treatment selection.

Development of a model to predict combined antidepressant medication and psychotherapy treatment response for depression among veterans.

BACKGROUND: Although research shows that more depressed patients respond to combined antidepressants (ADM) and psychotherapy than either alone, many patients do not respond even to combined treatment. A reliable prediction model for this could help treatment decision-making. We attempted to create such a model using machine learning methods among patients in the US Veterans Health Administration (VHA). METHODS: A 2018-2020 national sample of VHA patients beginning combined depression treatment completed self-report assessments at baseline and 3 months (n = 658). A learning model was developed using baseline self-report, administrative, and geospatial data to predict 3-month treatment response defined by reductions in the Quick Inventory of Depression Symptomatology Self-Report and/or in the Sheehan Disability Scale. The model was developed in a 70 % training sample and tested in the remaining 30 % test sample. RESULTS: 30.0 % of patients responded to treatment. The prediction model had a test sample AUC-ROC of 0.657. A strong gradient was found in probability of treatment response from 52.7 % in the highest predicted quintile to 14.4 % in the lowest predicted quintile. The most important predictors were episode characteristics (symptoms, comorbidities, history), personality/psychological resilience, recent stressors, and treatment characteristics. LIMITATIONS: Restrictions in sample definition, a low recruitment rate, and reliance on patient self-report rather than clinician assessments to determine treatment response limited the generalizability of results. CONCLUSIONS: A machine learning model could help depressed patients and providers predict likely response to combined ADM-psychotherapy. Parallel information about potential harms and costs of alternative treatments would be needed, though, to inform optimal treatment selection.

Development of a model to predict psychotherapy response for depression among Veterans.

BACKGROUND: Fewer than half of patients with major depressive disorder (MDD) respond to psychotherapy. Pre-emptively informing patients of their likelihood of responding could be useful as part of a patient-centered treatment decision-support plan. METHODS: This prospective observational study examined a national sample of 807 patients beginning psychotherapy for MDD at the Veterans Health Administration. Patients completed a self-report survey at baseline and 3-months follow-up (data collected 2018-2020). We developed a machine learning (ML) model to predict psychotherapy response at 3 months using baseline survey, administrative, and geospatial variables in a 70% training sample. Model performance was then evaluated in the 30% test sample. RESULTS: 32.0% of patients responded to treatment after 3 months. The best ML model had an AUC (SE) of 0.652 (0.038) in the test sample. Among the one-third of patients ranked by the model as most likely to respond, 50.0% in the test sample responded to psychotherapy. In comparison, among the remaining two-thirds of patients, <25% responded to psychotherapy. The model selected 43 predictors, of which nearly all were self-report variables. CONCLUSIONS: Patients with MDD could pre-emptively be informed of their likelihood of responding to psychotherapy using a prediction tool based on self-report data. This tool could meaningfully help patients and providers in shared decision-making, although parallel information about the likelihood of responding to alternative treatments would be needed to inform decision-making across multiple treatments.

Emergency Department Buprenorphine Quality Improvement and Emergency Physician Knowledge, Attitudes, and Self-Efficacy.

Objective: Buprenorphine is an evidence-based treatment for opioid use disorder that is underused in the emergency department (ED). In this study we evaluated changes in emergency physician knowledge, confidence, and self-efficacy regarding buprenorphine prescribing and working with patients who use drugs after implementation of an ED buprenorphine quality improvement (QI) initiative. Methods: An anonymous, online survey was administered to emergency physicians staffing four EDs in New England in 2019 and 2020 before and after an ED QI initiative. Survey questions included novel and previously validated questions to assess confidence, knowledge, self-efficacy, and attitudes about buprenorphine and working with patients who use drugs. Confidence, self-efficacy, and attitude responses were assessed on a Likert scale. Participants received a gift card for survey completion. We analyzed pre- and post- survey responses descriptively and compared them using t-tests. Using logistic regression we evaluated the factors associated with buprenorphine prescribing. Results: Of 95 emergency physicians, 56 (58.9% response rate) completed the pre-intervention survey and 60 (63.2%) completed the post-survey. There was an increase in the number of X-waivered adult emergency physicians and ED buprenorphine prescribing after program implementation. Physician confidence increased from a mean of 3.4 (SD 0.8) to 3.9 (SD 0.7; scale 1-5, p < 0.01). Knowledge about buprenorphine increased from a mean score of 1.4 (SD 0.7) to 1.7 (SD 0.5, p < 0.01). Physician attitudes and self-efficacy did not change. Post-initiative, increased confidence was associated with higher odds of buprenorphine prescribing (odds ratio 4.4; 95% confidence interval 1.07-18.4). Conclusion: After an ED QI initiative, buprenorphine prescribing in the ED increased, as did both physician confidence in working with patients who use drugs and their knowledge of buprenorphine. Increased confidence was associated with higher odds of buprenorphine prescribing and should be a focus of future, buprenorphine implementation strategies in the ED.

Child and Adolescent Abuse Patterns and Incident Obesity Risk in Young Adulthood.

INTRODUCTION: Child abuse is associated with adult obesity. Yet, it is unknown how the developmental timing and combination of abuse types affect this risk. This report examined how distinct child and adolescent abuse patterns were associated with incident obesity in young adulthood. METHODS: Data came from 7,273 participants in the Growing Up Today Study, a prospective cohort study in the U.S. with 14 waves from 1996 to 2016 (data were analyzed during 2020-2021). An abuse group variable was empirically derived using latent class analysis with indicators for child (before age 11 years) and adolescent (ages 11-17 years) physical, sexual, and emotional abuse. Risk ratios for obesity developing during ages 18-30 years were estimated using modified Poisson models. Associations of abuse groups with BMI across ages 18-30 years were then examined using mixed-effects models. All models were stratified by sex. RESULTS: Among women, groups characterized by abuse had higher BMIs entering young adulthood and greater changes in BMI per year across young adulthood. Groups characterized by multiple abuse types and abuse sustained across childhood and adolescence had approximately twice the risk of obesity as that of women in a no/low abuse group. Associations were substantially weaker among men, and only a group characterized by physical and emotional abuse in childhood and adolescence had an elevated obesity risk (risk ratio=1.38; 95% CI=1.04, 1.83). CONCLUSIONS: Obesity risk in young adulthood varied by distinct abuse groups for women and less strongly for men. Women who experience complex abuse patterns have the greatest risk of developing obesity in young adulthood.

Estimated Prevalence of and Factors Associated With Clinically Significant Anxiety and Depression Among US Adults During the First Year of the COVID-19 Pandemic.

Importance: Claims of dramatic increases in clinically significant anxiety and depression early in the COVID-19 pandemic came from online surveys with extremely low or unreported response rates. Objective: To examine trend data in a calibrated screening for clinically significant anxiety and depression among adults in the only US government benchmark probability trend survey not disrupted by the COVID-19 pandemic. Design, Setting, and Participants: This survey study used the US Centers for Disease Control and Prevention Behavioral Risk Factor Surveillance System (BRFSS), a monthly state-based trend survey conducted over the telephone. Participants were adult respondents in the 50 US states and District of Columbia who were surveyed March to December 2020 compared with the same months in 2017 to 2019. Exposures: Monthly state COVID-19 death rates. Main Outcomes and Measures: Estimated 30-day prevalence of clinically significant anxiety and depression based on responses to a single BRFSS item calibrated to a score of 6 or greater on the 4-item Patient Health Questionnaire (area under the receiver operating characteristic curve, 0.84). All percentages are weighted based on BRFSS calibration weights. Results: Overall, there were 1 429 354 respondents, with 1 093 663 in 2017 to 2019 (600 416 [51.1%] women; 87 153 [11.8%] non-Hispanic Black; 826 334 [61.5%] non-Hispanic White; 411 254 [27.8%] with college education; and 543 619 [56.8] employed) and 335 691 in 2020 (182 351 [51.3%] women; 25 517 [11.7%] non-Hispanic Black; 250 333 [60.5%] non-Hispanic White; 130 642 [29.3%] with college education; and 168 921 [54.9%] employed). Median within-state response rates were 45.9% to 49.4% in 2017 to 2019 and 47.9% in 2020. Estimated 30-day prevalence of clinically significant anxiety and depression was 0.4 (95% CI, 0.0 to 0.7) percentage points higher in March to December 2020 (12.4%) than March to December 2017 to 2019 (12.1%). This estimated increase was limited, however, to students (2.4 [95% CI, 0.8 to 3.9] percentage points) and the employed (0.9 [95% CI, 0.5 to 1.4] percentage points). Estimated prevalence decreased among the short-term unemployed (-1.8 [95% CI, -3.1 to -0.5] percentage points) and those unable to work (-4.2 [95% CI, -5.3 to -3.2] percentage points), but did not change significantly among the long-term unemployed (-2.1 [95% CI, -4.5 to 0.5] percentage points), homemakers (0.8 [95% CI, -0.3 to 1.9] percentage points), or the retired (0.1 [95% CI, -0.6 to 0.8] percentage points). The increase in anxiety and depression prevalence among employed people was positively associated with the state-month COVID-19 death rate (1.8 [95% CI, 1.2 to 2.5] percentage points when high and 0.0 [95% CI, -0.7 to 0.6] percentage points when low) and was elevated among women compared with men (2.0 [95% CI, 1.4 to 2.5] percentage points vs 0.2 [95% CI, -0.1 to 0.6] percentage points), Non-Hispanic White individuals compared with Hispanic and non-Hispanic Black individuals (1.3 [95% CI, 0.6 to 1.9] percentage points vs 1.1 [95% CI, -0.2 to 2.5] percentage points and 0.7 [95% CI, -0.1 to 1.5] percentage points), and those with college educations compared with less than high school educations (2.5 [95% CI, 1.9 to 3.1] percentage points vs -0.6 [95% CI, -2.7 to 1.4] percentage points). Conclusions and Relevance: In this survey study, clinically significant US adult anxiety and depression increased less during 2020 than suggested by online surveys. However, this modest aggregate increase could mask more substantial increases in key population segments (eg, first responders) and might have become larger in 2021 and 2022.

Changes in Prevalence of Mental Illness Among US Adults During Compared with Before the COVID-19 Pandemic.

The authors review trend and cohort surveys and administrative data comparing prevalence of mental disorders during, versus, and before the COVID-19 pandemic and changes in mental health disparities. Best evidence suggests clinically significant anxiety-depression point prevalence increased by relative-risk (RR) = 1.3 to 1.5 during the pandemic compared with before. This level of increase is much less than the implausibly high RR = 5.0 to 8.0 estimates reported in trend studies early in the pandemic based on less-appropriate comparisons. Changes in prevalence also occurred during the pandemic, but relative prevalence appears not to have changed substantially over this time.

Past-Year Abuse and Eating Disorder Symptoms Among U.S. College Students.

Evidence consistently indicates associations between eating disorders (EDs) and childhood emotional, physical, and sexual abuse, but the relationship between EDs and abuse occurring later in development has largely been unexplored. Therefore, the objective of this study was to examine associations between past-year abuse and ED symptoms among college students. Participants represented 12 U.S. colleges and universities participating in the Healthy Bodies Study (HBS) between 2013 and 2015 (N = 10,204; Mage = 23.38 years). Students self-reported experiences of emotional, physical, and sexual abuse over the past year. Cognitive ED symptoms (i.e., dietary restraint, shape/weight overvaluation, body dissatisfaction) were measured via the Short-Eating Disorder Examination-Questionnaire (S-EDE-Q), and behavioral ED symptoms (i.e., binge eating, purging) were measured via items from the full EDE-Q. Regression models that adjusted for demographics and weight status were conducted to examine associations between past-year abuse and ED symptoms. Past-year emotional, physical, and sexual abuse each exhibited independent associations with ED symptoms. When mutually adjusting for emotional, physical, and sexual abuse, past-year emotional abuse was associated with higher levels of dietary restraint (b = 0.20, p = .02), shape/weight overvaluation (b = 0.85, p < .001), body dissatisfaction (b = 0.63, p < .001), binge eating (prevalence ratio [PR] = 1.23, p = .002), and purging (PR = 1.68, p < .001), and past-year sexual abuse was associated with shape/weight overvaluation (b = 0.35, p = .03) and purging (PR = 1.71, p = .009) but no other ED symptoms. No associations were observed for past-year physical abuse in mutually adjusted models. In summary, past-year emotional abuse emerged as a key correlate of all ED symptoms examined in this sample of U.S. college students, while past-year sexual abuse also emerged as a key correlate of shape/weight overvaluation and purging. Findings emphasize the need to screen for abuse and implement abuse prevention efforts on college campuses.

Prior histories of posttraumatic stress disorder and major depression and their onset and course in the three months after a motor vehicle collision in the AURORA study.

BACKGROUND: A better understanding of the extent to which prior occurrences of posttraumatic stress disorder (PTSD) and major depressive episode (MDE) predict psychopathological reactions to subsequent traumas might be useful in targeting posttraumatic preventive interventions. METHODS: Data come from 1306 patients presenting to 29 U.S. emergency departments (EDs) after a motor vehicle collision (MVC) in the advancing understanding of recovery after trauma study. Patients completed self-reports in the ED and 2-weeks, 8-weeks, and 3-months post-MVC. Associations of pre-MVC probable PTSD and probable MDE histories with subsequent 3-months post-MVC probable PTSD and probable MDE were examined along with mediation through intervening peritraumatic, 2-, and 8-week disorders. RESULTS: 27.6% of patients had 3-month post-MVC probable PTSD and/or MDE. Pre-MVC lifetime histories of these disorders were not only significant (relative risk = 2.6-7.4) but were dominant (63.1% population attributable risk proportion [PARP]) predictors of this 3-month outcome, with 46.6% prevalence of the outcome among patients with pre-MVC disorder histories versus 9.9% among those without such histories. The associations of pre-MVC lifetime disorders with the 3-month outcome were mediated largely by 2- and 8-week probable PTSD and MDE (PARP decreasing to 22.8% with controls for these intervening disorders). Decomposition showed that pre-MVC lifetime histories predicted both onset and persistence of these intervening disorders as well as the higher conditional prevalence of the 3-month outcome in the presence of these intervening disorders. CONCLUSIONS: Assessments of pre-MVC PTSD and MDE histories and follow-ups at 2 and 8 weeks could help target early interventions for psychopathological reactions to MVCs.

Are Veterans Getting Their Preferred Depression Treatment? A National Observational Study in the Veterans Health Administration.

BACKGROUND: Physician responsiveness to patient preferences for depression treatment may improve treatment adherence and clinical outcomes. OBJECTIVE: To examine associations of patient treatment preferences with types of depression treatment received and treatment adherence among Veterans initiating depression treatment. DESIGN: Patient self-report surveys at treatment initiation linked to medical records. SETTING: Veterans Health Administration (VA) clinics nationally, 2018-2020. PARTICIPANTS: A total of 2582 patients (76.7% male, mean age 48.7 years, 62.3% Non-Hispanic White) MAIN MEASURES: Patient self-reported preferences for medication and psychotherapy on 0-10 self-anchoring visual analog scales (0="completely unwilling"; 10="completely willing"). Treatment receipt and adherence (refilling medications; attending 3+ psychotherapy sessions) over 3 months. Logistic regression models controlled for socio-demographics and geographic variables. KEY RESULTS: More patients reported strong preferences (10/10) for psychotherapy than medication (51.2% versus 36.7%, McNemar χ21=175.3, p<0.001). A total of 32.1% of patients who preferred (7-10/10) medication and 21.8% who preferred psychotherapy did not receive these treatments. Patients who strongly preferred medication were substantially more likely to receive medication than those who had strong negative preferences (odds ratios [OR]=17.5; 95% confidence interval [CI]=12.5-24.5). Compared with patients who had strong negative psychotherapy preferences, those with strong psychotherapy preferences were about twice as likely to receive psychotherapy (OR=1.9; 95% CI=1.0-3.5). Patients who strongly preferred psychotherapy were more likely to adhere to psychotherapy than those with strong negative preferences (OR=3.3; 95% CI=1.4-7.4). Treatment preferences were not associated with medication or combined treatment adherence. Patients in primary care settings had lower odds of receiving (but not adhering to) psychotherapy than patients in specialty mental health settings. Depression severity was not associated with treatment receipt or adherence. CONCLUSIONS: Mismatches between treatment preferences and treatment type received were common and associated with worse treatment adherence for psychotherapy. Future research could examine ways to decrease mismatch between patient preferences and treatments received and potential effects on patient outcomes.

Implementation and maintenance of an emergency department naloxone distribution and peer recovery specialist program.

STUDY OBJECTIVE: Emergency department (ED)-based naloxone distribution and peer-based behavioral counseling have been shown to be feasible, but little is known about utilization maintenance over time and clinician, patient, and visit level factors influencing implementation. METHODS: We conducted a retrospective cohort study of an ED overdose prevention program providing take-home naloxone, behavioral counseling, and treatment linkage for patients treated for an opioid overdose at two Rhode Island EDs from 2017 to 2020: one tertiary referral center and a community hospital. Utilizing a Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework, we evaluated program reach, adoption, implementation modifiers, and maintenance using logistic and Poisson regression. RESULTS: Seven hundred forty two patients were discharged after an opioid overdose, comprising 966 visits (median: 32 visits per month; interquartile range: 29, 41). At least one intervention was provided at most (86%, 826/966) visits. Take-home naloxone was provided at 69% of visits (637/919). Over half (51%, 495/966) received behavioral counseling and treatment referral (65%, 609/932). Almost all attending physicians provided take-home naloxone (97%, 105/108), behavioral counseling (95%, 103/108), or treatment referral (95%, 103/108) at least once. Most residents and advanced practice practitioners (APPs) provided take home naloxone (78% residents; 72% APPs), behavioral counseling (76% residents; 67% APPs), and treatment referral (80% residents; 81% APPs) at least once. Most clinicians provided these services for over half of the opioid overdose patients they cared for. Patients were twice as likely to receive behavioral counseling when treated by an attending in combination with a resident and/or APP (adjusted odds ratio: 2.29; 95% confidence interval, 1.68, 3.12) compared to an attending alone. There was no depreciation in use over time. CONCLUSIONS: ED naloxone distribution, behavioral counseling, and referral to treatment can be successfully integrated into usual emergency care and maintained over time with high reach and adoption. Further work is needed to identify low-cost implementation strategies to improve services use and dissemination across clinical settings.

Mental Disorders, Gun Ownership, and Gun Carrying Among Soldiers After Leaving the Army, 2016-2019.

Objectives. To examine associations of current mental and substance use disorders with self-reported gun ownership and carrying among recently separated US Army soldiers. Veterans have high rates of both gun ownership and mental disorders, the conjunction of which might contribute to the high suicide rate in this group. Methods. Cross-sectional survey data were collected in 2018-2019 from 5682 recently separated personnel who took part in the Army Study to Assess Risk and Resilience in Servicemembers. Validated measures assessed recent mood, anxiety, substance use, and externalizing disorders. Logistic regression models examined associations of sociodemographic characteristics, service characteristics, and mental disorders with gun ownership and carrying. Results. Of the participants, 50% reported gun ownership. About half of owners reported carrying some or most of the time. Mental disorders were not associated significantly with gun ownership. However, among gun owners, major depressive disorder, panic disorder, posttraumatic stress disorder, and intermittent explosive disorder were associated with significantly elevated odds of carrying at least some of the time. Conclusions. Mental disorders are not associated with gun ownership among recently separated Army personnel, but some mental disorders are associated with carrying among gun owners. (Am J Public Health. 2021;111(10):1855-1864. https://doi.org/10.2105/AJPH.2021.306420).

Early life stress and latent trait cortisol in adolescent girls: a prospective examination.

Early life stress (ELS) may become embedded into an individual's stress physiology, changing their hypothalamic-pituitary-adrenal (HPA)-axis in an enduring, trait-like fashion. Cortisol is often utilized to investigate HPA-axis function. However, for "trait" cortisol to be a useful construct, it needs to be internally consistent within measurement occasions and show temporal stability of this reliability. These estimates of physiometrics are rarely tested with biological variables such as cortisol. Identifying reliable and stable individual differences in cortisol may be particularly important when examining questions related to the long-term impact of ELS on HPA-axis function. Using confirmatory factor analysis (CFA) to model latent trait cortisol (LTC) may be a useful statistical approach to capture trait-like indexes of HPA-axis functioning. CFA identifies commonalities among repeated cortisol samples to differentiate characteristic patterns (i.e. a trait) from day-to-day or state variation and measurement error. It is unclear whether LTC estimates are stable prospectively, or if ELS is prospectively associated with LTC. Therefore, we derived LTC factors for 84 adolescent girls (ages 10-17 years) using two-morning salivary cortisol samples, collected sequentially for three days at baseline and again at a one-year follow-up. LTC was internally consistent at both assessments and stable over one year. Greater exposure to ELS was associated with lower LTC over a one-year follow-up. Findings support LTC modeling as a useful strategy to estimate trait-like HPA-axis functioning and suggest that exposure to ELS is associated with lower trait-like cortisol.

Development and Validation of a Model to Predict Posttraumatic Stress Disorder and Major Depression After a Motor Vehicle Collision.

Importance: A substantial proportion of the 40 million people in the US who present to emergency departments (EDs) each year after traumatic events develop posttraumatic stress disorder (PTSD) or major depressive episode (MDE). Accurately identifying patients at high risk in the ED would facilitate the targeting of preventive interventions. Objectives: To develop and validate a prediction tool based on ED reports after a motor vehicle collision to predict PTSD or MDE 3 months later. Design, Setting, and Participants: The Advancing Understanding of Recovery After Trauma (AURORA) study is a longitudinal study that examined adverse posttraumatic neuropsychiatric sequalae among patients who presented to 28 US urban EDs in the immediate aftermath of a traumatic experience. Enrollment began on September 25, 2017. The 1003 patients considered in this diagnostic/prognostic report completed 3-month assessments by January 31, 2020. Each patient received a baseline ED assessment along with follow-up self-report surveys 2 weeks, 8 weeks, and 3 months later. An ensemble machine learning method was used to predict 3-month PTSD or MDE from baseline information. Data analysis was performed from November 1, 2020, to May 31, 2021. Main Outcomes and Measures: The PTSD Checklist for DSM-5 was used to assess PTSD and the Patient Reported Outcomes Measurement Information System Depression Short-Form 8b to assess MDE. Results: A total of 1003 patients (median [interquartile range] age, 34.5 [24-43] years; 715 [weighted 67.9%] female; 100 [weighted 10.7%] Hispanic, 537 [weighted 52.7%] non-Hispanic Black, 324 [weighted 32.2%] non-Hispanic White, and 42 [weighted 4.4%] of non-Hispanic other race or ethnicity were included in this study. A total of 274 patients (weighted 26.6%) met criteria for 3-month PTSD or MDE. An ensemble machine learning model restricted to 30 predictors estimated in a training sample (patients from the Northeast or Midwest) had good prediction accuracy (mean [SE] area under the curve [AUC], 0.815 [0.031]) and calibration (mean [SE] integrated calibration index, 0.040 [0.002]; mean [SE] expected calibration error, 0.039 [0.002]) in an independent test sample (patients from the South). Patients in the top 30% of predicted risk accounted for 65% of all 3-month PTSD or MDE, with a mean (SE) positive predictive value of 58.2% (6.4%) among these patients at high risk. The model had good consistency across regions of the country in terms of both AUC (mean [SE], 0.789 [0.025] using the Northeast as the test sample and 0.809 [0.023] using the Midwest as the test sample) and calibration (mean [SE] integrated calibration index, 0.048 [0.003] using the Northeast as the test sample and 0.024 [0.001] using the Midwest as the test sample; mean [SE] expected calibration error, 0.034 [0.003] using the Northeast as the test sample and 0.025 [0.001] using the Midwest as the test sample). The most important predictors in terms of Shapley Additive Explanations values were symptoms of anxiety sensitivity and depressive disposition, psychological distress in the 30 days before motor vehicle collision, and peritraumatic psychosomatic symptoms. Conclusions and Relevance: The results of this study suggest that a short set of questions feasible to administer in an ED can predict 3-month PTSD or MDE with good AUC, calibration, and geographic consistency. Patients at high risk can be identified in the ED for targeting if cost-effective preventive interventions are developed.

Perceived helpfulness of treatment for generalized anxiety disorder: a World Mental Health Surveys report.

BACKGROUND: Treatment guidelines for generalized anxiety disorder (GAD) are based on a relatively small number of randomized controlled trials and do not consider patient-centered perceptions of treatment helpfulness. We investigated the prevalence and predictors of patient-reported treatment helpfulness for DSM-5 GAD and its two main treatment pathways: encounter-level treatment helpfulness and persistence in help-seeking after prior unhelpful treatment. METHODS: Data came from community epidemiologic surveys in 23 countries in the WHO World Mental Health surveys. DSM-5 GAD was assessed with the fully structured WHO Composite International Diagnostic Interview Version 3.0. Respondents with a history of GAD were asked whether they ever received treatment and, if so, whether they ever considered this treatment helpful. Number of professionals seen before obtaining helpful treatment was also assessed. Parallel survival models estimated probability and predictors of a given treatment being perceived as helpful and of persisting in help-seeking after prior unhelpful treatment. RESULTS: The overall prevalence rate of GAD was 4.5%, with lower prevalence in low/middle-income countries (2.8%) than high-income countries (5.3%); 34.6% of respondents with lifetime GAD reported ever obtaining treatment for their GAD, with lower proportions in low/middle-income countries (19.2%) than high-income countries (38.4%); 3) 70% of those who received treatment perceived the treatment to be helpful, with prevalence comparable in low/middle-income countries and high-income countries. Survival analysis suggested that virtually all patients would have obtained helpful treatment if they had persisted in help-seeking with up to 10 professionals. However, we estimated that only 29.7% of patients would have persisted that long. Obtaining helpful treatment at the person-level was associated with treatment type, comorbid panic/agoraphobia, and childhood adversities, but most of these predictors were important because they predicted persistence rather than encounter-level treatment helpfulness. CONCLUSIONS: The majority of individuals with GAD do not receive treatment. Most of those who receive treatment regard it as helpful, but receiving helpful treatment typically requires persistence in help-seeking. Future research should focus on ensuring that helpfulness is included as part of the evaluation. Clinicians need to emphasize the importance of persistence to patients beginning treatment.

Child and adolescent maltreatment patterns and risk of eating disorder behaviors developing in young adulthood.

BACKGROUND: Child maltreatment may be an important risk factor for eating disorder (ED) behaviors. However, most previous research has been limited to clinical, female, and cross-sectional samples, and has not adequately accounted for complex abuse patterns. OBJECTIVE: To determine whether women and men with distinct patterns of child and adolescent maltreatment have higher risks of developing ED behaviors in young adulthood than individuals with a low probability of maltreatment. PARTICIPANTS AND SETTING: Data came from 7010 U.S. women and men (95% White) in the Growing Up Today Study, a prospective, community-based cohort study (14 waves between 1996 and 2016). METHODS: We used a previously created maltreatment variable that was empirically derived using latent class analysis. Maltreatment groups were characterized as: "no/low abuse," "child physical abuse," "adolescent emotional abuse," "child and adolescent physical and emotional abuse," and "child and adolescent sexual abuse." We estimated risk ratios for ED behaviors developing in young adulthood using the modified Poisson approach with generalized estimating equations. We stratified models by sex. RESULTS: Groups characterized by maltreatment had elevated risks of incident ED behaviors compared with the "no/low abuse" group among both women and men. For women, risks tended to be strongest among the "child and adolescent sexual abuse" group. For men, risks tended to be strongest among the "child and adolescent physical and emotional abuse" group. Risks were particularly strong for purging behaviors. CONCLUSION: Risk of incident ED behaviors in young adulthood varied by distinct maltreatment groups. Detecting maltreatment early may help prevent EDs and subsequent maltreatment.

Race, ethnicity, and emergency department post-overdose care.

BACKGROUND: Emergency department (ED) visits for opioid-related overdoses continue to rise across the United States, particularly among Black, Latinx, and American Indian/Alaskan Native communities. A minority of people with opioid use disorder (OUD) engages in formal addiction treatment and there are racial disparities in treatment access. ED visits for opioid overdose are crucial opportunities to link individuals with OUD to harm reduction and treatment services. However, we know little about whether racial inequities exist in ED treatment after opioid overdose. METHODS: This observational, cross-sectional study examined differences in services provided to overdose patients who were discharged after an ED visit for opioid overdose by patient race-ethnicity. Primary outcomes included provision of take-home naloxone, ED-based behavioral counseling, and linkage to treatment. Race-ethnicity differences in post-overdose ED services were evaluated using chi-square analyses, and multivariable logistic regression analyses were conducted to examine associations of race-ethnicity with receiving post-overdose services, controlling for other institutional-, provider-, and patient-level factors. RESULTS: From September 2017 to February 2020, 734 patients were discharged from the ED for an opioid-related overdose. Most patients were White non-Latinx (70.0%), 8.9% were Black non-Latinx, 3.3% were Other race non-Latinx, and 18.0% were Latinx. Take-home naloxone was the most frequent intervention provided to patients while behavioral counseling was the lowest across all race-ethnicity categories. There were no statistically significant differences in provision of take-home naloxone and treatment referral based on patient race-ethnicity. However, a lower proportion of discharged Black non-Latinx patients received behavioral counseling compared to patients of other race-ethnicities, and the odds of receiving behavioral counseling was significantly higher for White non-Latinx (OR: 1.75; 95% CI: 1.00, 3.06); Latinx (OR: 2.06; 95% CI: 1.05, 4.06); and Other race non-Latinx (OR: 3.29; 95% CI: 1.18, 9.15) patients compared to Black non-Latinx patients. CONCLUSION: Black non-Latinx patients discharged from the ED for an opioid-related overdose were less likely to receive behavioral counseling compared to non-Black patients. Possible reasons for this decreased provision of behavioral counseling include provider bias, patient mistrust of the medical and behavioral health care systems, and limited provider training in addiction medicine and motivational interviewing. These inequities add to the known racial disparities in ED patient care. Further research should elucidate barriers to behavioral counseling within ED settings and factors contributing to racial inequities in post-overdose emergency care.

The Course of Weight/Shape Concerns and Disordered Eating Symptoms Among Adolescent and Young Adult Males.

PURPOSE: Male weight concerns tend to focus on shape and muscularity as opposed to a desire for thinness and remain underdetected by conventional eating disorder assessments. We aimed to describe the longitudinal course of weight concerns and disordered eating behaviors among males across adolescence and young adulthood. METHODS: We used prospective assessments of 4,489 U S. males, aged 11 to 18 years at baseline of analyses, in the Growing Up Today Study. We assigned mutually exclusive classifications of behaviors consistent with bulimia nervosa (BN), binge eating disorder (BED), purging disorder (PD); high levels of concern with thinness and/or muscularity; and use of muscle-enhancing products. We estimated the probability of maintenance, resolution, or transition to different weight concerns and/or disordered eating behaviors across consecutive survey waves. RESULTS: Less than 1% of participants met full or partial criteria for BN, PD, or BED at baseline. One-quarter (25.4%, n = 1,137) of males reported high weight concerns during follow-up; nearly all these cases (93.7%, n = 1,065) had high muscularity concerns. The most common transition in concerns or behaviors involved the addition of muscularity concerns to a preoccupation with thinness. Eleven percent of participants used muscle-building products during follow-up. Multi-year product use (23.0% [standard deviation 1.0%] of males who used products) was more common than maintenance of bulimic behaviors (3.0% [.7%] of BN/PD, 10.5% [1.2%] of BED cases). CONCLUSIONS: Integrating muscularity concerns and product use into health promotion and screening tools may improve prevention and early detection of harmful body image and weight control among adolescent and young adult males.

Comorbid mental disorders, depression symptom severity, and role impairment among Veterans initiating depression treatment through the Veterans Health Administration.

BACKGROUND: Psychiatric comorbidities may complicate depression treatment by being associated with increased role impairments. However, depression symptom severity might account for these associations. Understanding the independent associations of depression severity and comorbidity with impairments could help in treatment planning. This is especially true for depressed Veterans, who have high psychiatric comorbidity rates. METHODS: 2,610 Veterans beginning major depression treatment at the Veterans Health Administration (VHA) were administered a baseline self-report survey that screened for diverse psychiatric comorbidities and assessed depression severity and role impairments. Logistic and generalized linear regression models estimated univariable and multivariable associations of depression severity and comorbidities with impairments. Population attributable risk proportions (PARPs) estimated the relative importance of depression severity and comorbidities in accounting for role impairments. RESULTS: Nearly all patients (97.8%) screened positive for at least one comorbidity and half (49.8%) for 4+ comorbidities. The most common positive screens were for generalized anxiety disorder (80.2%), posttraumatic stress disorder (77.9%), and panic/phobia (77.4%). Depression severity and comorbidities were significantly and additively associated with impairments in multivariable models. Associations were attenuated much less for depression severity than for comorbidities in multivariable versus univariable models. PARPs indicated that 15-60% of role impairments were attributable to depression severity and 5-32% to comorbidities. LIMITATIONS: The screening scales could have over-estimated comorbidity prevalence. The cross-sectional observational design cannot determine either temporal or causal priorities. CONCLUSIONS: Although positive screens for psychiatric comorbidity are pervasive among depressed VHA patients, depression severity accounts for most of the associations of these comorbidities with role impairments.

Treatment Differences in Primary and Specialty Settings in Veterans with Major Depression.

INTRODUCTION: The Veterans Health Administration (VHA) supports the nation's largest primary care-mental health integration (PC-MHI) collaborative care model to increase treatment of mild to moderate common mental disorders in primary care (PC) and refer more severe-complex cases to specialty mental health (SMH) settings. It is unclear how this treatment assignment works in practice. METHODS: Patients (n = 2610) who sought incident episode VHA treatment for depression completed a baseline self-report questionnaire about depression severity-complexity. Administrative data were used to determine settings and types of treatment during the next 30 days. RESULTS: Thirty-four percent (34.2%) of depressed patients received treatment in PC settings, 65.8% in SMH settings. PC patients had less severe and fewer comorbid depressive episodes. Patients with lowest severity and/or complexity were most likely to receive PC antidepressant medication treatment; those with highest severity and/or complexity were most likely to receive combined treatment in SMH settings. Assignment of patients across settings and types of treatment was stronger than found in previous civilian studies but less pronounced than expected (cross-validated AUC = 0.50-0.68). DISCUSSION: By expanding access to evidence-based treatments, VHA's PC-MHI increases consistency of treatment assignment. Reasons for assignment being less pronounced than expected and implications for treatment response will require continued study.