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Objectives. To characterize prescription opioid medical users and misusers among US adults. Methods. We used the 2016-2017 National Surveys on Drug Use and Health to compare medical prescription opioid users with misusers without prescriptions, misusers of own prescriptions, and misusers with both types of misuse. Multinomial logistic regressions identified substance use characteristics and mental and physical health characteristics that distinguished the groups. Results. Among prescription opioid users, 12% were misusers; 58% of misusers misused their own prescriptions. Misusers had higher rates of substance use than did medical users. Compared with with-prescription-only misusers, without-and-with-prescription misusers and without-prescription-only misusers had higher rates of marijuana use and benzodiazepine misuse; without-and-with-prescription misusers had higher rates of heroin use. Compared with without-prescription-only misusers, without-and-with-prescription and with-prescription-only misusers had higher rates of prescription opioid use disorder. Most misusers, especially with-prescription-only misusers, used prescription opioids to relieve pain. Misusers were more likely to be depressed than medical users. Conclusions. Prescription opioid misusers who misused both their own prescriptions and prescription opioid drugs not prescribed to them may be most at risk for overdose. Prescription opioid misuse is a polysubstance use problem.

Background: Patient expectancy of therapeutic improvement is a primary mediator of placebo effects in antidepressant clinical trials, but its mechanisms are poorly understood. This study employed a novel antidepressant trial design, with integrated functional magnetic resonance imaging (fMRI), to manipulate patient outcome expectancy and examine its neural mediators., Method: Twenty-three depressed outpatients, in a randomized controlled trial were assigned to either Open (high outcome expectancy) or Placebo-controlled (low outcome expectancy) treatment with citalopram for eight weeks. fMRI scans were acquired before and after the expectancy manipulation (before medication treatment), while participants performed a masked emotional face task. Focusing on an amygdala region-of-interest (ROI), we tested a model where reduction in amygdala activation mediated outcome expectancy effects on the slope of change in depressive symptoms., Results: Following the manipulation, significant differences between conditions were found in neural activation changes in the amygdala, as well as in superior temporal gyrus, insula, and thalamus. Findings support the proposed mediation model according to which activation in the left amygdala ROI decreased significantly in the Open as opposed to the Placebo-controlled group following randomization (p = 0.009) for sad vs. neutral face contrast. The reduced left amygdala activation, in turn, was a significant predictor of decreased depressive symptoms during the trial (p = 0.007), and the mediation model was significant., Conclusions: Results from this study, the first designed to identify the neural mechanisms of expectancy augmentation in an antidepressant randomized control trial, suggest that therapeutic modulation of amygdala activity may be an important pathway by which patient outcome expectancy influences depressive symptoms. CLINICALTRIALS., Gov Identifier: NCT01919216; Trial name: Placebo Effects in the Treatment of Depression: Cognitive and Neural Mechanisms, URL: https://clinicaltrials.gov/ct2/show/NCT01919216., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Background and Aims: Substance use disorders (SUD) frequently co-occur and are associated with numerous adverse outcomes and lower quality of life. The goal of this study was to examine whether the associations of SUD with adverse outcomes occur through a shared liability or are disorder-specific even after taking into account their frequent co-occurrence., Basic Procedures: Data were drawn from the National Epidemiological Survey on Alcohol and Related Conditions. The association between nine SUDs assessed at Wave 1 (2001-2002) and a broad range of outcomes (divorce/separation, violence, unemployment, financial crisis, legal problems, problems with a neighbor, friend, or relative, and quality of life) at Wave 2 (2005-2005) were estimated separately and simultaneously using a latent variable model to account for their co-occurrence and identify potential disorder-specific effects., Main Findings: SUD at Wave 1 were associated with increased prevalence of all adverse outcomes at Wave 2 (p < .05). With the exception of nicotine dependence and tranquilizer use disorder, we found no specific associations of any SUD with any adverse outcome. Rather, associations occurred primarily through the latent variable representing the shared effects of the different SUDs., Conclusions and Relevance: Our findings underscore the importance of adopting dimensional approaches to model the co-occurrence of SUD. Because SUD increases the risk of adverse outcomes mainly through a general predisposition representing mechanisms shared across SUD rather than through drug-specific mechanisms, this dimension should be considered as a therapeutic target to substantially advance prevention of adverse outcomes caused by SUD., (Copyright © 2019. Published by Elsevier B.V.)

Objective: The study examined whether the use of opioid agonist therapy (OAT) for treatment of opioid use disorder in specialty substance use treatment settings increased following Medicaid expansion., Methods: Administrative data on 943,430 admissions from the Treatment Episodes Data Set-Admissions (2010-2016) were used to examine the association between Medicaid expansion and the use of OAT and to assess whether this association was mediated by increased proportion of admissions with Medicaid in expansion states., Results: From 2010-2013 to 2014-2016, OAT use among patients with opioid use disorder increased in both expansion (39.1% and 50.2%, respectively) and nonexpansion (39.9% and 40.5%, respectively) states. The effect of Medicaid expansion on OAT use was mainly mediated through a larger proportion of admissions with Medicaid in expansion states., Conclusions: As the nation grapples with the opioid epidemic, expanding Medicaid coverage has the potential to promote greater access to evidence-based treatment.

Forty-five papaya samples showing severe leaf curl symptoms were tested by PCR with a degenerate primer set for virus species in the genus Begomovirus. Of these, 29 were positive for tomato leaf curl Bangladesh virus (ToLCBV). The complete genome sequences of ToLCBV (GenBank accession no. MH380003) and its associated tomato leaf curl betasatellite (ToLCB) (MH397223) from papaya isolate Gaz17-Pap were determined and characterized. Defective betasatellites were found in ToLCBV-positive papaya isolates Gaz19-Pap, Gaz20-Pap and Gaz21-Pap. This study confirmed that papaya is a host of ToLCBV, ToLCB, and other defective and recombinant DNA satellites in Bangladesh.

Objective: This study analyzed past 12-month disorder-specific mental health treatment patterns of common DSM-5 disorders in the United States., Methods: Nationally representative face-to-face household survey data from structured diagnostic interviews of the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions-III (NESARC-III) (n = 36,309) were used to estimate percentages of respondents with 12-month DSM-5 mood, anxiety, and substance use disorders who received disorder-specific treatment during the 12 months before the interview., Results: The percentage receiving treatment was highest for mood disorders (37.8%; 95% CI, 36.1%-39.6%), followed by anxiety disorders (24.1%; 95% CI, 22.6%-25.6%), and lowest for substance use disorders (18.8%; 95% CI, 17.8%-19.8%). Among anxiety disorders, panic disorder (47.9%; 95% CI, 43.9%-52.0%) had the highest treatment rate, and among substance use disorders, tobacco use disorder (20.3%; 95% CI, 19.0%-21.7%) had the highest treatment rate. Adults with mood and anxiety disorders (53.1%; 95% CI, 49.7%-56.4%) were more likely than those with only mood (32.0%; 95% CI, 29.5%-34.6%) or only anxiety (13.2%; 95% CI, 11.6%-15.0%) disorders to receive any mental health treatment. Lack of insurance coverage was associated with significantly lower odds of treatment for all disorders except specific phobia (0.55; 95% CI, 0.30-1.03), drug use disorders other than tobacco (0.80; 95% CI, 0.47-1.36), and alcohol use disorder (1.52; 95% CI, 1.12-2.07)., Conclusions: Most adults with common mental disorders in the United States were not treated for their disorders, and treatment rates varied considerably across disorders and sociodemographic groups, with particularly low rates of treatment for substance use disorders. Policy and clinical interventions are needed to promote greater access to treatment of adults with common substance use, anxiety, and mood disorders., (© Copyright 2019 Physicians Postgraduate Press, Inc.)

Introduction: Use of e-cigarettes is increasing among young adults in the U.S. Whether e-cigarette use serves as an aid to smoking reduction or cessation among young adults remains a matter of contention. This analysis examines patterns of e-cigarette use in relation to cigarette smoking in a nationally representative sample of U.S. young adults., Methods: Data were analyzed from nationally representative U.S. adults, aged 18 to 35years (N=12,415), in the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions-III. Logistic regression assessed associations between e-cigarette use and smoking intensity, continuity, and reduction while controlling for several potential confounding factors. Data were analyzed in 2018., Results: Among cigarette smokers, e-cigarette use was associated with higher odds of tobacco use disorder (AOR=2.58, 95% CI=1.73, 3.83) and daily cigarette smoking (AOR=1.67, 95% CI=1.73, 3.83). Among adults aged 26-35years, e-cigarette use was also associated with heavy cigarette smoking (AOR=2.01, 95% CI=1.09, 3.74). Among lifetime smokers, e-cigarette use was associated with lower odds of stopping smoking (AOR=0.14, 95% CI=0.08, 0.23) and lower odds of a 50% reduction in cigarettes smoked per day (AOR=0.63, 95% CI=0.43, 0.93). Only 13.1% of young adults who ever used e-cigarettes reported using them to help stop or quit smoking., Conclusions: Use of e-cigarettes by U.S. young adults, most of which is not intended to help reduce smoking, is related to more rather than less frequent and intensive cigarette smoking., (Copyright © 2019 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Importance: People with schizophrenia are commonly treated with psychotropic medications in addition to antipsychotics, but there is little evidence about the comparative effectiveness of these adjunctive treatment strategies., Objective: To study the comparative real-world effectiveness of adjunctive psychotropic treatments for patients with schizophrenia., Design, Setting, and Participants: This comparative effectiveness study used US national Medicaid data from January 1, 2001, to December 31, 2010, to examine the outcomes of initiating treatment with an antidepressant, a benzodiazepine, a mood stabilizer, or another antipsychotic among adult outpatients (aged 18-64 years) diagnosed with schizophrenia who were stably treated with a single antipsychotic. Data analysis was performed from January 1, 2017, to June 30, 2018. Multinomial logistic regression models were used to estimate propensity scores to balance covariates across the 4 medication groups. Weighted Cox proportional hazards regression models were used to compare treatment outcomes during 365 days on an intention-to-treat basis., Main Outcomes and Measures: Risk of hospitalization for a mental disorder (primary), emergency department (ED) visits for a mental disorder, and all-cause mortality., Results: The study cohort included 81 921 adult outpatients diagnosed with schizophrenia (mean [SD] age, 40.7 [12.4] years; 37 515 women [45.8%]) who were stably treated with a single antipsychotic and then initiated use of an antidepressant (n = 31 117), a benzodiazepine (n = 11 941), a mood stabilizer (n = 12 849), or another antipsychotic (n = 26 014) (reference treatment). Compared with initiating use of another antipsychotic, initiating use of an antidepressant was associated with a lower risk (hazard ratio [HR], 0.84; 95% CI, 0.80-0.88) of psychiatric hospitalization, whereas initiating use of a benzodiazepine was associated with a higher risk (HR, 1.08; 95% CI, 1.02-1.15); the risk associated with initiating use of a mood stabilizer (HR, 0.98; 95% CI, 0.94-1.03) was not significantly different from initiating use of another antipsychotic. A similar pattern of associations was observed in psychiatric ED visits for initiating use of an antidepressant (HR, 0.92; 95% CI, 0.88-0.96), a benzodiazepine (HR, 1.12; 95% CI, 1.07-1.19), and a mood stabilizer (HR, 0.99; 95% CI, 0.94-1.04). Initiating use of a mood stabilizer was associated with an increased risk of mortality (HR, 1.31; 95% CI, 1.04-1.66)., Conclusions and Relevance: In the treatment of schizophrenia, initiating adjunctive treatment with an antidepressant was associated with reduced risk of psychiatric hospitalization and ED visits compared with initiating use of alternative psychotropic medications. Associations of benzodiazepines and mood stabilizers with poorer outcomes warrant clinical caution and further investigation.

Background: The authors developed a practical and clinically useful model to predict the risk of psychosis that utilizes clinical characteristics empirically demonstrated to be strong predictors of conversion to psychosis in clinical high-risk (CHR) individuals. The model is based upon the Structured Interview for Psychosis Risk Syndromes (SIPS) and accompanying clinical interview, and yields scores indicating one's risk of conversion., Methods: Baseline data, including demographic and clinical characteristics measured by the SIPS, were obtained on 199 CHR individuals seeking evaluation in the early detection and intervention for mental disorders program at the New York State Psychiatric Institute at Columbia University Medical Center. Each patient was followed for up to 2 years or until they developed a syndromal DSM-4 disorder. A LASSO logistic fitting procedure was used to construct a model for conversion specifically to a psychotic disorder., Results: At 2 years, 64 patients (32.2%) converted to a psychotic disorder. The top five variables with relatively large standardized effect sizes included SIPS subscales of visual perceptual abnormalities, dysphoric mood, unusual thought content, disorganized communication, and violent ideation. The concordance index (c-index) was 0.73, indicating a moderately strong ability to discriminate between converters and non-converters., Conclusions: The prediction model performed well in classifying converters and non-converters and revealed SIPS measures that are relatively strong predictors of conversion, comparable with the risk calculator published by NAPLS (c-index = 0.71), but requiring only a structured clinical interview. Future work will seek to externally validate the model and enhance its performance with the incorporation of relevant biomarkers.

Background: Although the DSM is a widely used diagnostic guide, lengthy criteria sets can be problematic and provide the primary motivation to identify short-forms. Using the 11 diagnostic criteria provided by the DSM-5 for alcohol use disorder (AUD), the present study develops a data-driven method to systematically identify subsets and associated cut-offs that yield diagnoses as similar as possible to use all 11 criteria., Method: Relying on data from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC-III), our methodology identifies diagnostic short-forms for AUD by: (1) maximizing the association between the sum scores of all 11 criteria with newly constructed subscales from subsets of criteria; (2) optimizing the similarity of AUD prevalence between the current DSM-5 rule and newly constructed diagnostic short-forms; (3) maximizing sensitivity and specificity of the short-forms against the current DSM-5 rule; and (4) minimizing differences in the accuracy of the short-form across chosen covariates. Replication is shown using NESARC-Wave 2., Results: More than 11 000 diagnostic short-forms for DSM-5 AUD can be created and our method narrows down the optimal choices to eight. Results found that 'Neglecting major roles' and 'Activities given up' could be dropped with practically no change in who is diagnosed (specificity = 100%, sensitivity ⩾ 99.6%) or the severity of those diagnosed (κ = 0.97)., Conclusions: With a continuous improvement model adopted by the APA for DSM revisions, we offer a data-driven tool (a SAS Macro) that identifies diagnostic short-forms in a systematic and reproducible way to help advance potential improvements in future DSM revisions.

In a previously reported longitudinal study of violent ideation (VI) and violent behavior (VB) among 200 youths at clinical high-risk (CHR) for psychosis, we found that VI, hitherto underinvestigated, strongly predicted transition to first-episode psychosis (FEP) and VB, in close temporal proximity. Here, we present participants' baseline characteristics, examining clinical and demographic correlates of VI and VB. These participants, aged 13-30, were examined at Columbia University Medical Center's Center of Prevention and Evaluation, using clinical interviews and the structured interview for psychosis-risk syndromes (SIPS). At the onset of our longitudinal study, we gathered demographics, signs and symptoms, and descriptions of VI and VB. One-third of participants reported VI (n = 65, 32.5%) at baseline, experienced as intrusive and ego-dystonic, and associated with higher suspiciousness and overall positive symptoms. Less than one-tenth reported VB within 6 months of baseline (n = 17, 8.5%), which was unrelated to SIPS-positive symptoms, any DSM diagnosis or other clinical characteristic. The period from conversion through post-FEP stabilization may be characterized by heightened risk of behavioral disinhibition and violence. We provide a preliminary model of how violence risk may peak at various points in the course of psychotic illness.

Background: The coffee berry borer (CBB), Hypothenemus hampei, is the most destructive insect pest of coffee globally, causing significant losses in yield and leading to 'off' flavors in damaged beans. Automated headspace sampling (AHS) and gas chromatography-mass spectrometry (GC-MS) were used to investigate changes in the volatile profiles of CBB-damaged green coffee beans. Green coffee from three coffee farms on the island of Hawai'i were sorted into three levels of CBB damage: non-damaged, slightly damaged (1-2 pinholes/bean), and heavily damaged (> 2 pinholes/bean)., Results: Distinct differences were found between green coffee bean samples based on the amounts of eight prominent volatiles. The amount of CBB damage was particularly correlated with the amount of both hexanal and 2-pentylfuran. Principal component analysis showed clustering of non-damaged green beans, which did not overlap with the slightly or heavily damaged clusters. Good separation was also found between a mixture of 50% slightly damaged and non-damaged coffee. However, 20% slightly damaged and non-damaged coffee clusters showed strong overlap., Conclusion: Understanding the effects of CBB damage on coffee flavor profiles is critical to quality control for this valuable agricultural product. The results of this study show that the volatile profiles of green coffee beans vary with CBB damage. With specific volatile profiles for CBB-damaged coffee identified, coffee samples can be tested in the lab, or potentially on the farm or in coffee mills, to identify high levels of CBB damage that may lead to off flavors and a reduction in product quality and value. © 2018 Society of Chemical Industry., (© 2018 Society of Chemical Industry.)

Background: To date, intergenerational patterns of nonmedical prescription opioid (NMPO) use have not been examined. We investigate the association between parental and adolescent NMPO use in the United States., Methods: Data are from 35 000 parent-child dyads with an adolescent aged 12 to 17 years from the 2004-2012 nationally representative National Surveys on Drug Use and Health. Using multivariable logistic regression models, we estimated the association between self-reported parental and adolescent lifetime NMPO use, controlling for parental and adolescent use of other drugs, attitudes about drug use, parental and adolescent psychosocial risk factors, and sociodemographic characteristics., Results: Controlling for other factors, parental NMPO use was associated with adolescent NMPO use (adjusted odds ratio [aOR] 1.30; 95% confidence interval [CI] 1.09-1.56). Mothers' use had a stronger association with adolescent use than fathers' use (aOR 1.62 [95% CI 1.28-2.056] versus aOR 0.98 [95% CI 0.74-1.24]). Associations between parental and adolescent NMPO use did not differ by adolescent sex or race and/or ethnicity. Parental lifetime smoking, low monitoring, and parent-adolescent conflict were uniquely associated with adolescent NMPO use (aOR 1.19-1.24) as were adolescent smoking, marijuana use, depression, delinquency, and perceived schoolmates' drug use (aOR 1.25-1.71). Perceived risk of drug use and religiosity were associated with lower rates of adolescent NMPO use (aOR 0.77-0.93). Use among older adolescents was higher than among younger adolescents (aOR 1.27; 95% CI 1.21-1.34)., Conclusions: Parent-based interventions targeted at adolescent NMPO use should address parental NMPO use and smoking and promote positive parenting., Competing Interests: POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose., (Copyright © 2019 by the American Academy of Pediatrics.)

Background: Establishing healthy dietary habits during adolescence and young adulthood is critical for long-term health., Objectives: This study assessed the prevalence of meeting US Dietary Guidelines and trajectories in dietary intake for 4 MyPlate food groups during the transition from adolescence to young adulthood., Methods: Three waves of surveys and food frequency questionnaires were collected as part of Project EAT (Eating and Activity in Teens and Young Adults), a 15-y longitudinal study. Adolescents (n = 1177, 57% female, mean ± SD age 15.0 ± 1.5 y) were recruited in 1998-1999 in Minneapolis-St Paul, Minnesota public schools and were resurveyed twice in young adulthood at mean ± SD ages 25.3 ± 1.5 and 31.1 ± 1.5 y. The prevalence of meeting guidelines for each MyPlate food group was calculated at each time point. Mean daily servings were compared over 5 y in young adulthood through the use of paired t tests. Adjusted least-squares means were calculated to compare dietary intake in young adulthood across quartiles of adolescent intake., Results: Adolescents had the highest prevalence of meeting dietary guidelines for fruit (37% for females and 30% for males) and dairy (53% for females and 61% for males); young adults >30 y had the highest prevalence of meeting dietary guidelines for vegetables (19% for females and 8% for males) and whole grains (23% for females and 17% for males). From the mid-twenties to early thirties, vegetable intake increased, whereas dairy intake decreased. Dietary intake generally tracked over time with individuals in the lower quartiles of intake at adolescence generally continuing to have low intake in young adulthood., Conclusions: Although the prevalence of meeting dietary guidelines for whole grains and vegetables, and daily servings of vegetables increased with age, improving intake of whole fruit, whole grains, dairy, and vegetables remains key during the transition from adolescence to young adulthood., (© 2019 American Society for Nutrition.)

Background: Parenting behaviors have been shown to moderate the association between sensation seeking and antisocial behaviors., Methods: Data were obtained from the Boricua Youth Study, a longitudinal study of 2,491 Puerto Rican youth living in the South Bronx, New York, and the metropolitan area of San Juan, Puerto Rico. First, we examined the prospective relationship between sensation seeking and antisocial behaviors across 3 yearly waves and whether this relationship varied by sociodemographic factors. Second, we examined the moderating role of parenting behaviors-including parental monitoring, warmth, and coercive discipline-on the prospective relationship between sensation seeking and antisocial behaviors., Results: Sensation seeking was a strong predictor of antisocial behaviors for youth across two different sociocultural contexts. High parental monitoring buffered the association between sensation seeking and antisocial behaviors, protecting individuals with this trait. Low parental warmth was associated with high levels of antisocial behaviors, regardless of the sensation seeking level. Among those with high parental warmth, sensation seeking predicted antisocial behaviors, but the levels of antisocial behaviors were never as high as those of youth with low parental warmth., Conclusions: Study findings underscore the relevance of person-family context interactions in the development of antisocial behaviors. Future interventions should focus on the interplay between individual vulnerabilities and family context to prevent the unhealthy expression of a trait that is present in many individuals., (© 2018 Association for Child and Adolescent Mental Health.)

Objectives: To characterize the socio-demographic characteristics, medical conditions, and psychiatric comorbidities of users of marijuana for medical and non-medical purposes., Methods: Data were from the National Epidemiological Survey on Alcohol and Related Conditions III, a US nationally representative in-person interview of 36,309 adults age ≥18 years in 2012-2013., Results: In relation to non-medical only users (n = 3339), combined (n = 362) and medical only (n = 82) users had higher prevalence of every medical condition examined. As compared to the combined use group, those using marijuana only for medical purposes were much less likely to have anxiety, alcohol, or non-medical prescription opioid use disorders., Conclusions: Medical-only users appear to use it for evidence-based medical reasons and have lower prevalence of substance use disorder than other marijuana users. Nonetheless, because most medical marijuana users also use non-medically, screening for psychiatric disorders and prevention efforts for cannabis use disorder should be implemented when authorizing medical marijuana., (Copyright © 2018. Published by Elsevier B.V.)

Childhood psychosocial challenges (i.e., adversities, mental and substance use disorders, social challenges) may relate to the onset of obesity and extreme obesity. Identifying the types of psychosocial challenges most strongly associated with obesity could advance etiologic understanding and help target prevention efforts. Using a nationally representative sample of U.S. adults (N = 24,350), the present study evaluates relationships between childhood psychosocial challenges and development of obesity and extreme obesity. After mutually controlling, childhood poverty was a risk in men OR = 1.2 (1.0-1.4) and a significantly stronger one in women OR = 1.6 (1.4-1.8); maltreatment increased odds of obesity in both men and women OR = 1.3, 95% CI (1.1-1.4), and specifically increased odds of extreme obesity in women OR = 1.5 (1.3-1.9). Early childrearing (before age 18) was an independent risk factor in both men OR = 1.4 (1.0-1.9) and women OR = 1.3 (1.1-1.5); not finishing high school was the strongest childhood psychosocial challenge risk factor for extreme obesity in both men (OR = 1.6, 1.1-2.2) and women (OR = 2.0, 1.5-2.5). Psychiatric disorders (MDD, anxiety disorder, PTSD) before age 18 were not independently associated with adult obesity in men nor women, but substance use disorders (alcohol or drug) were inversely associated with adult obesity. Individuals who have experienced childhood adversities and social challenges are at increased risk for obesity. Previous findings also indicate that these individuals respond poorly to traditional weight management strategies. It is critical to identify the reasons for these elevated weight problems, and to develop interventions that are appropriately tailored to mitigate the obesity burden faced by this vulnerable population.

Body dissatisfaction is common in adolescence and associated with negative outcomes (e.g., eating disorders). We identified common individual trajectories of body dissatisfaction from mid-adolescence to adulthood, and predictors of divergent patterns. Participants were 1,455 individuals from four waves of Project EAT (Eating and Activity in Teens and Young Adults), a population-based, 15-year longitudinal study. Aggregate body dissatisfaction increased over 15 years, which was largely attributable to increases in weight. Growth mixture modeling identified four common patterns of body dissatisfaction, revealing nearly 95% of individuals experienced relatively stable body dissatisfaction from adolescence through adulthood. Baseline depression, self-esteem, parent communication/caring, peer dieting, and weight-based teasing predicted differing trajectories. Body dissatisfaction appears largely stable from mid-adolescence onward. There may be a critical period for body image development during childhood/early adolescence. Clinicians should intervene upon body dissatisfaction before it becomes chronic, and target depression, self-esteem, parent/child connectedness, and responses to teasing and peer dieting.

Medication treatment (MT) is one of the few evidence-based strategies proposed to combat the current opioid epidemic. We examined national trends and correlates of offering MT in substance use treatment facilities in the United States. According to data from national surveys, the proportion of these facilities that offered any MT increased from 20.0 percent in 2007 to 36.1 percent in 2016-mainly the result of increases in offering buprenorphine and extended-release naltrexone. Only 6.1 percent of facilities offered all three MT medications in 2016. Facilities in states with higher opioid overdose death rates, facilities that accepted health insurance overall (and, more specifically, those that accepted Medicaid in states that opted to expand eligibility for Medicaid), and facilities in states with more comprehensive coverage of MT under their Medicaid plans had higher odds of offering MT. The findings highlight the persistent unmet need for MT nationally and the role of expansion of health insurance in the dissemination of these treatments.

Purpose: Risk stratification for postoperative acute kidney injury (AKI) evaluates a patient's risk for developing this complication using preoperative characteristics. Nevertheless, it is unclear if these characteristics are also associated with mortality in patients who actually develop this complication, so we aimed to determine these associations., Methods: The 2011-15 American College of Surgeons National Surgical Quality Improvement Program was used to obtain a historical, observational cohort of high-risk intraabdominal general surgery patients with AKI, which was defined as an increase in serum creatinine > 177 µmol·L -1 (2 mg·dL -1 ) above the preoperative value and/or the need for dialysis. Latent class analysis, a model-based clustering technique, classified patients based on preoperative comorbidities and risk factors. The associations between the latent classes and the time course of AKI development and mortality after AKI were assessed with the Kruskall-Wallis test and Cox models., Results: A seven-class model was fit on 3,939 observations (derivation cohort). Two patterns for the time course of AKI diagnosis emerged: an "early" group (median [interquartile range] day of diagnosis 3 [1-10]) and a "late" group (day 9 [3-16]). Three patterns of survival after AKI diagnosis were identified (groups A-C). Compared with the group with the lowest mortality risk (group A), the hazard ratios (95% confidence intervals) for 30-day mortality were 1.79 [1.55 to 2.08] for group B and 3.55 [3.06 to 4.13] for group C. These differences in relative hazard were similar after adjusting for the postoperative day of AKI diagnosis and surgical procedure category., Conclusions: Among patients with AKI after high-risk general surgery, the preoperative comorbid state is associated with the time course of and survival after AKI. This knowledge can stratify mortality risk in patients who develop postoperative AKI.

Ketamine is an uncompetitive N-methyl-d-aspartate (NMDA) glutamate receptor antagonist. It induces effects in healthy individuals that mimic symptoms associated with schizophrenia. We sought to root these experiences in altered brain function, specifically aberrant resting state functional connectivity (rsfMRI). In the present study, we acquired rsfMRI data under ketamine and placebo in a between-subjects design and analyzed seed-based measures of rsfMRI using large-scale networks, dorsolateral prefrontal cortex (DLPFC) and sub-nuclei of the thalamus. We found ketamine-induced alterations in rsfMRI connectivity similar to those seen in patients with schizophrenia, some changes that may be more comparable to early stages of schizophrenia, and other connectivity signatures seen in patients that ketamine did not recreate. We do not find any circuits from our regions of interest that correlates with positive symptoms of schizophrenia in our sample, although we find that DLPFC connectivity with ACC does correlate with a mood measure. These results provide support for ketamine's use as a model of certain biomarkers of schizophrenia, particularly for early or at-risk patients., (Copyright © 2019. Published by Elsevier Inc.)

We used the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions III (NESARC-III), a nationally representative sample of US adults (n = 34,653), to estimate the prevalence and correlates of HIV testing and HIV status. The diagnostic interview used was the Alcohol Use Disorder and Associated Disabilities Interview Schedule-DSM-5 Version. We found that in 2012-2013, the prevalence of a history of HIV testing was 53.0% among females and 47.0% among males. Among individuals tested, the prevalence of HIV was 1.06%, resulting in a known estimated prevalence of 0.54% in the full sample. In adjusted results, being non-white, aged 30-44, having college, being non-heterosexual, having history of unprotected sex or history of childhood sexual abuse and lower mental health-related quality of life increased the odds of having been tested, whereas being foreign-born, 45 years or older, family income ≥$20,000, being unemployed or a student, living in a rural setting and older age at first sex lowered those odds. Among those tested, being 30-64, being non-heterosexual, having history of unprotected sex or having a sexually transmitted disease in the last year was associated with greater odds of being HIV+. Having some college decreased those odds. In the adjusted results all psychiatric disorders were associated with increased rates of HIV testing, but only a lifetime history of drug use disorder and antisocial personality disorders were associated with HIV status among those tested. Despite CDC recommendations, only about half of US adults have ever been tested for HIV, interfering with efforts to eradicate HIV infection., (Published by Elsevier Ltd.)

Background: Cannabis use is on the rise in the United States (US) and is disproportionately common among cigarette smokers. Cannabis use disorder (CUD) occurs among a small subset of cannabis users and may impact cigarette use. The objective of this study was to estimate trends in the prevalence of CUD among daily, non-daily, former, and never cigarette smokers from 2002 to 2016., Methods: Data were drawn from cross-sectional, nationally representative samples of individuals ages 12 and older in the US that were collected annually. The prevalence of past 12-month CUD was estimated each year from 2002 to 2016 among daily, non-daily, former, and never cigarette smokers (total analytic N = 837,326)., Results: Overall, the prevalence of CUD decreased from 2002 to 2016. Yet, trends differed by cigarette smoking status. Adjusting for demographics, the prevalence of CUD increased significantly among non-daily smokers (aOR = 1.02; 95% CI = 1.01-1.03) from 2002 to 2016 and did not change among daily, former, or never smokers. CUD was significantly more common among non-daily (4.32%) and daily cigarette smokers (2.92%) compared with former (0.99%) and never smokers (1.11%) in 2016. Approximately one in five (18.11%-22.87%) youth ages 12-17 who smoke cigarettes met criteria for CUD in 2016, compared with approximately 2% of non-smoking youth., Conclusions: Despite downward trends in CUD observed at the general population level, the prevalence of CUD significantly increased among non-daily cigarette smokers from 2002 to 2016. In the US, CUD remains significantly higher among cigarette smokers relative to non-cigarette smokers., (Copyright © 2018. Published by Elsevier B.V.)

Background: The pathophysiology of late-life depression (LLD) is complex and heterogeneous, with age-related processes implicated in its pathogenesis. This study examined the cross-sectional and longitudinal association between depressive symptoms and a baseline multibiomarker algorithm of biological age (BA) that aggregates indicators of inflammatory, metabolic, cardiovascular, lung, liver, and kidney functioning., Method: Data were analyzed from 2,776 men and women from the prospective observational Health Aging and Body Composition Study, who had both evaluable chronological age (CA) and BA. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression (CES-D) scale., Results: A covariate-adjusted regression model showed that BA (B = 0.03, p = .0471) but not CA (B = -0.01, p = .7185) is associated with baseline CES-D scores. The mean baseline BA for individuals with a CES-D ≥ 10 was 1.28 years greater than in those with a CES-D < 10. Comparatively, there is only a 0.05-year difference in mean CA between the two depression groups. A covariate-adjusted longitudinal model found that baseline BA predicts CES-D score at follow-up (B = 0.04, p = .0058), whereas CA does not (B = 0.03, p = .4125). Additionally, an older BA significantly predicted a CES-D ≥ 10 (B = 0.02, p = .032) over a 10-year period., Conclusions: A multibiomarker index of an older adult's BA outperformed their CA in predicting subsequent increased and clinically significant depressive symptoms. This result supports the evolving view of LLD as a brain disorder resulting from deleterious age-associated changes across numerous physiological systems.

Objective: Dieting and unhealthy weight control behaviors have been associated with negative outcomes. Most research has examined the prevalence of these behaviors in adolescence and young adulthood. Less is known about whether they persist further into adulthood. We examined patterns of weight control behaviors beyond young adulthood using data from 1,455 males and females participating in Project EAT (Eating and Activity in Teens and Young Adults), a 15-year population-based, longitudinal study., Method: Participants completed surveys assessing dieting, high-frequency dieting (i.e., 5+ times/year), unhealthy weight control (e.g., fasting), and extreme weight control (e.g., vomiting) at each 5-year assessment (Waves 1-4). Longitudinal logistic regression models tested trends in weight control behaviors across the waves. Likelihood of persisting or discontinuing each behavior from Wave 3 to Wave 4 was examined through cross tabulations., Results: Between Waves 3 and 4 in adulthood, dieting increased for both genders (Women: p < .001; Men: p = .004) and high-frequency dieting (p < .001) and unhealthy weight control behaviors (p = .011) increased for men. For both genders, dieting and unhealthy weight control patterns initiated in prior to young adulthood were more likely to persist than cease in adulthood (ps < .001)., Discussion: Weight control behaviors continue to be prevalent in adulthood, and to especially increase among men. Research is needed to understand the consequences of weight control behaviors in different life stages; however, the results suggest that interventions to decrease unhealthy weight management practices may be needed well into adulthood., (© 2018 Wiley Periodicals, Inc.)

Scientists have long sought to characterize the pathophysiologic basis of schizophrenia and develop biomarkers that could identify the illness. Extensive postmortem and in vivo neuroimaging research has described the early involvement of the hippocampus in the pathophysiology of schizophrenia. In this context, we have developed a hypothesis that describes the evolution of schizophrenia-from the premorbid through the prodromal stages to syndromal psychosis-and posits dysregulation of glutamate neurotransmission beginning in the CA1 region of the hippocampus as inducing attenuated psychotic symptoms and initiating the transition to syndromal psychosis. As the illness progresses, this pathological process expands to other regions of the hippocampal circuit and projection fields in other anatomic areas including the frontal cortex, and induces an atrophic process in which hippocampal neuropil is reduced and interneurons are lost. This paper will describe the studies of our group and other investigators supporting this pathophysiological hypothesis, as well as its implications for early detection and therapeutic intervention.

Objective: This study prospectively evaluated outcomes of OnTrackNY, a statewide coordinated specialty care (CSC) program for treatment of early psychosis in community settings, as well as predictors of outcomes., Methods: The sample included 325 individuals ages 16-30 with recent-onset nonaffective psychosis who were enrolled in OnTrackNY and who had at least one three-month follow-up. Clinicians provided data at baseline and quarterly up to one year. Domains assessed included demographic and clinical characteristics, social and occupational functioning, medications, suicidality and violence, hospitalization, and time to intervention. Primary outcomes included the symptoms, occupational functioning, and social functioning scales of the Global Assessment of Functioning (GAF), as adapted by the U.S. Department of Veterans Affairs Mental Illness Research, Education and Clinical Center; education and employment status; and psychiatric hospitalization rate., Results: Education and employment rates increased from 40% to 80% by six months, hospitalization rates decreased from 70% to 10% by three months, and improvement in GAF scores continued for 12 months. Female gender, non-Hispanic white race-ethnicity, and more education at baseline predicted better education and employment status at follow-up., Conclusions: Individuals with early psychosis receiving CSC achieved significant improvements in education and employment and experienced a decrease in hospitalization rate. Demographic variables and baseline education predicted education and employment outcomes. CSC teams should make particular effort to support the occupational goals of individuals at increased risk of not engaging in work or school, including male participants and participants from racial and ethnic minority groups.

Introduction: Determining the population-based scope and stability of eating, activity, and weight-related problems is critical to inform interventions. This study examines: (1) the prevalence of eating, activity, and weight-related problems likely to influence health; and (2) the trajectories for having at least one of these problems during the transition from adolescence to adulthood., Methods: Project EAT I-IV (Eating and Activity in Teens and Young Adults) collected longitudinal survey data from 858 females and 597 males at four waves, approximately every 5 years, from 1998 to 2016, during the transition from adolescence to adulthood. Analyses were conducted in 2017-2018. Measures included high fast-food intake (≥3 times/week), low physical activity (<150 minutes/week), unhealthy weight control, body dissatisfaction, and obesity status., Results: Among females, the prevalence of having at least one eating, activity, or weight-related problems was 78.1% at Wave 1 (adolescence) and 82.3% at Wave 4 (adulthood); in males, the prevalence was 60.1% at Wave 1 and 69.2% at Wave 4. Of all outcomes assessed, unhealthy weight control behaviors had the highest prevalence in both genders. The stability of having at least one problem was high; 60.2% of females and 34.1% of males had at least one problematic outcome at all four waves., Conclusions: The majority of young people have some type of eating, activity, or weight-related problem at all stages from adolescence to adulthood. Findings indicate a need for wide-reaching interventions that address a broad spectrum of eating, activity, and weight-related problems prior to and throughout this developmental period., (Copyright © 2018 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Symptoms of agitation, aggression, and psychosis frequently occur in patients with Alzheimer's disease (AD). These symptoms are distressing to patients and caregivers, often lead to institutionalization, are associated with increased mortality, and are very difficult to treat. Lithium is an established treatment for bipolar and other psychotic disorders in which agitation can occur. The Lit-AD study is the first randomized, double-blind, placebo-controlled trial to assess the efficacy of lithium treatment for symptoms of agitation or aggression, with or without psychosis, in older adults diagnosed with AD. Patients are randomly assigned to low dose (150-600 mg) lithium or placebo, targeting a blood level of 0.2-0.6 mmol/L, stratified by the presence/absence of psychotic symptoms. The study duration for each patient is 12 weeks. The primary study outcome is change in the agitation/aggression domain score on the Neuropsychiatric Inventory (NPI) over the study period. The secondary outcome is improvement in neuropsychiatric symptoms defined as a 30% decrease in a NPI core score that combines agitation/aggression and psychosis domain scores. The Treatment Emergent Symptom Scale (TESS) is used to assess somatic side effects. Other exploratory analyses examine the associations between improvement on lithium and indices shown to be associated with response to lithium in bipolar disorder: serum brain-derived neurotrophic factor (BDNF) levels, a SNP in intron 1 of the ACCN1 gene, and variation at the 7q11.2 gene locus. If lithium demonstrates efficacy in this Phase II pilot trial, a Phase III study will be developed to establish its clinical utility in these patients., Trial Registration: ClinicalTrials.gov Identifier NCT02129348., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Objective: Multiple factors have an impact on the risk of attempting suicide in depressed individuals. The elevated number of contributing factors and their frequent co-occurrence suggest the need to combine them in integrative models to develop more effective suicide prevention strategies. This report presents a comprehensive model of the 3-year risk of suicide attempt in individuals with major depressive episode (MDE) using a longitudinal nationally representative study, the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC; Wave 1, 2001-2002; Wave 2, 2004-2005)., Methods: Structural equation modeling was used to simultaneously examine effects of 4 broad groups of clinical factors previously identified as potential predictors of suicide attempts: (1) severity of depressive illness, (2) severity of psychiatric and other physical comorbidity, (3) sociodemographic characteristics, and (4) treatment-seeking behavior., Results: About 3.5% of the 2,587 participants with a DSM-IV diagnosis of MDE attempted suicide during the 3-year follow-up period. Several factors predicted attempted suicide independently of each other: the absence of treatment-seeking behavior for MDE, the severity of the depressive illness (ie, recurrent thoughts of death, prior suicide attempts, and severity of the general depressive symptom dimension representing the joint effect of most depressive symptoms), and the severity of comorbidities (ie, severity of the general psychopathology factor representing the mechanisms shared across all comorbid psychiatric disorders and lower mental health-related quality of life). No sociodemographic characteristics independently contributed to this risk., Conclusions: This model may help identify high-risk individuals with MDE and inform future research on risk of suicide., (© Copyright 2018 Physicians Postgraduate Press, Inc.)

Objective: The current study estimates trends in the number of cigarettes smoked per day (CPD) and percentage of smokers having their first CPD within 30 min of waking (time to first cigarette (TTFC)<30 min) among smokers from 2002 to 2015 in the USA overall, and adjusting for demographics. Trends in TTFC<30 min were also estimated by varying levels of cigarette consumption., Methods: Data were drawn from the National Household Survey on Drug Use, an annual nationally representative cross-sectional study of the US population aged 12 and older (n=54 079-58 397 per year). Linear time trend analyses of CPD and TTFC<30 min were conducted adjusting for age, gender and income; linear time trend analyses of TTFC among those at varying levels of CPD were then performed., Results: Estimates suggest that CPD declined overall from 2002 to 2015, and that the prevalence of TTFC<30 min declined overall among smokers (p<0.0001). The proportion of smokers consuming fewer (ie, 1-5, 6-15) CPD has increased while the number consuming 16+ CPD has decreased overall. Among those smoking 1-5 (p=0.0006) and 6-15 (p<0.0001) CPD, TTFC<30 min has increased significantly, but TTFC<30 min has remained unchanged among those smoking 16 or more CPD (p=0.5838)., Conclusions: Findings suggest that smokers today are consuming fewer CPD, yet are increasingly likely to have their first cigarette earlier on awakening than they were a decade ago. Intervention and outreach efforts aimed at moving the prevalence lower may benefit from evaluating and addressing nicotine dependence even among lighter smokers., Competing Interests: Competing interests: None declared., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)

Background: Noni fruit (Morinda citrifolia L., Rubiaceae) has been used in traditional medicine throughout the tropics and subtropics and is now attracting interest in western medicine. Fermented noni juice is of particular interest for its promising antitumor activity. The present study collected and analyzed volatiles released at nine time intervals by noni fruit during ripening and fermentation using headspace autosampling coupled to gas chromatography-mass spectrometry., Results: Twenty-three noni volatiles were identified and relatively quantified. In addition to volatiles previously identified in noni, four novel volatile 3-methyl-2/3-butenyl esters were identified via the synthesis of reference compounds. Principle component analysis (PCA) and canonical discriminant analysis (CDA) were used to facilitate multidimensional pattern recognition. PCA showed that ripening noni fruit cluster into three groups, pre-ripe, fully ripe (translucent) and fermented, based on released volatiles. CDA could 83.8% correctly classify noni samples when all ripeness stages were analyzed and 100% when samples were classified into the three PCA groupings., Conclusion: The results of the present study confirm the identities of 3-methyl-2/3-butenyl esters, both novel and previously identified, through the synthesis of reference compounds. These esters constitute a large percentage of the volatiles released by fully ripe and fermented noni and likely produced from the decomposition of noniosides, a group of unique glucosides present in the fruit. © 2017 Society of Chemical Industry., (© 2017 Society of Chemical Industry.)

Background: In this study, we investigated trends in cannabis use among parents with children at home in the United States and estimated changes in prevalence of any cannabis use and daily cannabis use among parents who identified as cigarette smokers and nonsmokers with children in the home from 2002 to 2015., Methods: The National Survey on Drug Use and Health is an annual, nationally representative, cross-sectional study conducted in the United States. Using logistic regression models, associations between cigarette smoking and any past-month and daily past-month cannabis use among parents with children in the home from 2002 to 2015 were estimated. Moderation of these associations by demographics and trends over time was examined., Results: Past-month cannabis use among parents with children in the home increased from 4.9% in 2002 to 6.8% in 2015, whereas cigarette smoking declined from 27.6% to 20.2%. Cannabis use increased from 11.0% in 2002 to 17.4% in 2015 among cigarette-smoking parents and from 2.4% to 4.0% among non-cigarette-smoking parents ( P value for trends <.0001). Cannabis use was nearly 4 times more common among cigarette smokers versus nonsmokers (17.4% vs 4.0%; adjusted odds ratio = 3.88 [3.16-4.75]), as was daily cannabis use (4.6% vs 0.8%; adjusted odds ratio = 3.70 [2.46-5.55]). The overall percentage of parents who used either cigarettes and/or cannabis decreased from 29.7% in 2002 to 23.5% in 2015., Conclusions: Efforts to decrease secondhand smoke exposure via cigarette smoking cessation may be complicated by increases in cannabis use. Educating parents about secondhand cannabis smoke exposure should be integrated into public education programs on secondhand tobacco smoke exposure., Competing Interests: POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose., (Copyright © 2018 by the American Academy of Pediatrics.)

Aims: To conduct a systematic review and meta-analysis of studies in order to estimate the effect of US medical marijuana laws (MMLs) on past-month marijuana use prevalence among adolescents., Methods: A total of 2999 papers from 17 literature sources were screened systematically. Eleven studies, developed from four ongoing large national surveys, were meta-analyzed. Estimates of MML effects on any past-month marijuana use prevalence from included studies were obtained from comparisons of pre-post MML changes in MML states to changes in non-MML states over comparable time-periods. These estimates were standardized and entered into a meta-analysis model with fixed-effects for each study. Heterogeneity among the study estimates by national data survey was tested with an omnibus F-test. Estimates of effects on additional marijuana outcomes, of MML provisions (e.g. dispensaries) and among demographic subgroups were abstracted and summarized. Key methodological and modeling characteristics were also described. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed., Results: None of the 11 studies found significant estimates of pre-post MML changes compared with contemporaneous changes in non-MML states for marijuana use prevalence among adolescents. The meta-analysis yielded a non-significant pooled estimate (standardized mean difference) of -0.003 (95% confidence interval = -0.012, +0.007). Four studies compared MML with non-MML states on pre-MML differences and all found higher rates of past-month marijuana use in MML states pre-MML passage. Additional tests of specific MML provisions, of MML effects on additional marijuana outcomes and among subgroups generally yielded non-significant results, although limited heterogeneity may warrant further study., Conclusions: Synthesis of the current evidence does not support the hypothesis that US medical marijuana laws (MMLs) until 2014 have led to increases in adolescent marijuana use prevalence. Limited heterogeneity exists among estimates of effects of MMLs on other patterns of marijuana use, of effects within particular population subgroups and of effects of specific MML provisions., (© 2018 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction.)

Introduction: Decline in smoking in the United States has slowed over the past 25 years. Mental health problems are common among smokers, and may be an impediment to quitting and remaining abstinent. The study investigated the relationship between serious (past-30-day) psychological distress (SPD) and smoking, estimated trends in the prevalence of SPD among current, former, and never smokers in the United States from 2008 to 2014, and investigated whether heterogeneity in these trends varied by sociodemographic characteristics., Methods: Data were drawn from the National Household Survey on Drug Use (NSDUH), an annual cross-sectional study of persons ages 12 and over (N = 270 227). SPD and smoking in the past 30 days were examined using logistic regression models among adults 18 and older. The prevalence of SPD was examined annually among current, former, and never smokers from 2008 to 2014., Results: SPD increased among smokers in the United States from 2008 to 2014. An increase in SPD was more rapid among non-daily smokers than daily smokers. The prevalence of SPD was higher among younger smokers, those with less formal education and lower annual family income and higher among current smokers than former and never smokers. The relationships between SPD and smoking were stronger among smokers with higher education levels and annual family income., Conclusions: Our findings suggest an increase in SPD among smokers over time and that as smoking has declined, those with SPD are comprising a greater proportion of the remaining smokers. Results suggest that mental health must be integrated into mainstream tobacco control efforts., Implications: The greater prevalence and increasing rate of Serious Psychological Distress among smokers, relative to former- and never-smokers, from 2008 to 2014 provides support that the greater mental health burden among smokers may be contributing to the slowed reduction in smoking prevalence in the United States. In addition, relationships between SPD and smoking were consistently stronger among smokers with higher levels of education and annual family income. Such results suggest the necessity of incorporating mental health treatments in tobacco use reduction efforts.

Background: Self-medication with drugs or alcohol is commonly reported among adults with mood or anxiety disorders, and increases the risk of developing substance use disorders. Medical marijuana laws (MML) may be associated with greater acceptance of the therapeutic value of marijuana, leading individuals to self-medicate., Methods: The study utilized data from Wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (2004-2005). Participants were sampled from households in the general population and included adults with a mood or anxiety disorder in the past 12 months (n = 7418), and the subset of those who used marijuana and no other drug (n = 314). Weighted logistic regression models predicted the prevalence of self-medication with drugs in U.S. states with and without MML, adjusting for individual and state-level covariates. As a negative control, analyses were repeated for self-medication with alcohol., Results: Overall, self-medication with drugs was 3.73 percentage points higher (95% confidence interval [CI]: 0.93-6.53) among those living in MML states (p = 0.01). For the subpopulation that only used marijuana, self-medication with drugs was 21.22 percentage points higher (95% CI: 3.91-38.53) among those living in MML states (p = 0.02). In contrast, self-medication with alcohol had nearly identical prevalence in MML and non-MML states, overall and for drinkers., Conclusions: Among adults with mood or anxiety disorders, living in a medical marijuana law state is associated with self-medication with marijuana. While additional research is needed to determine the reasons for this association, clinical screening for self-medication with marijuana may be particularly important in states with medical marijuana laws., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Objective: The authors examined the use of different classes of psychotropic medication in outpatient treatment of schizophrenia and schizoaffective disorder., Methods: Data from the United States Medicaid program were used to examine psychotropic medication use in a cohort of patients who had a diagnosis of schizophrenia or schizoaffective disorder in the calendar year 2010., Results: The cohort of Medicaid recipients who filled one or more prescriptions for a psychotropic medication in 2010 included 116,249 patients classified as having schizophrenia and 84,537 classified as having schizoaffective disorder. During 2010, 86.1% of patients with schizoaffective disorder and 70.1% with schizophrenia were treated with two or more different classes of psychotropic., Conclusions: Psychotropic medications other than antipsychotics were commonly prescribed for individuals with a diagnosis of schizophrenia or schizoaffective disorder. Their widespread use and uncertainty about their net benefits signal a need for research on their efficacy, safety, and appropriate use in these conditions.

Background: National trends in adolescent's marijuana risk perceptions are traditionally used as a predictor of concurrent and future trends in adolescent marijuana use. We test the validity of this practice during a time of rapid marijuana policy change., Methods: Two repeated cross-sectional U.S. nationally-representative surveys of 8th, 10th, and 12th-graders: Monitoring the Future (MTF) (1991-2015; N = 1,181,692) and National Survey on Drug Use and Health (NSDUH) (2002-2014; N = 113,317). We examined trends in the year-to-year prevalence of perceiving no risk of harm in using marijuana regularly, and prevalence of regular marijuana use within the previous month. A piecewise linear regression model tested for a change in the relationship between trends. Similar analyses examined any past-month use and controlled for demographic characteristics., Results: Among MTF 12th-graders, the prevalence of regular marijuana use and risk perceptions changed similarly between 1991 and 2006 but diverged sharply afterward. The prevalence of regular marijuana use increased by ∼1 percentage point to 6.03% by 2015. In contrast, the proportion of 12th-graders that perceived marijuana as posing no risk increased over 11 percentage points to 21.39%. A similar divergence was found among NSDUH 12th-graders and other grades, for any past month marijuana use, and when controlling demographic characteristics., Conclusions: An increase in adolescent marijuana use has not accompanied recent rapid decreases in marijuana risk perceptions. Policy makers may consider broader prevention strategies in addition to targeting marijuana risk perceptions. Further monitoring of predictors of marijuana use trends is needed as states legalize recreational marijuana use., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Objective: Adult cannabis use has increased in the United States since 2002, particularly after 2007, contrasting with stable/declining trends among youth. We investigated whether specific age groups disproportionately contributed to changes in daily and nondaily cannabis use trends., Method: Participants ages 12 and older (N = 722,653) from the 2002-2014 National Survey on Drug Use and Health reported past-year cannabis use frequency (i.e., daily = ≥300 days/year; nondaily = 1-299 days/year; none). Multinomial logistic regression was used to model change in past-year daily and nondaily cannabis use prevalence by age group (i.e., 12-17, 18-25, 26-34, 35-49, 50-64, ≥65), before and after 2007. Multinomial logistic regressions estimated change in relative odds of cannabis use frequency over time by age, adjusting for other sociodemographics., Results: Daily cannabis use prevalence decreased in ages 12-17 before 2007 and increased significantly across adult age categories only after 2007. Increases did not differ significantly across adult ages 18-64 and ranged between 1 and 2 percentage points. Nondaily cannabis use decreased among respondents ages 12-25 and 35-49 before 2007 and increased across adult age categories after 2007, particularly among adults 26-34 (i.e., 4.5 percentage points). Adjusted odds of daily versus nondaily cannabis use increased after 2007 for ages 12-64., Conclusions: Increases in daily and nondaily cannabis use prevalence after 2007 were specific to adult age groups in the context of increasingly permissive cannabis legislation, attitudes, and lower risk perception. Although any cannabis use may be decreasing among teens, relative odds of more frequent use among users increased in ages 12-64 since 2007. Studies should assess not only any cannabis use, but also frequency of use, to target prevention efforts of adverse effects of cannabis that are especially likely among frequent users., Competing Interests: The authors have no conflicts of interest to report.

Background and Aims: While cigarette smoking has declined over time, it is not known whether this decline has occurred similarly among individuals with substance use disorders (SUDs) in the United States (US). The current study estimated trends in smoking from 2002 to 2014 among US individuals with and without SUDs., Design: Linear time trends of current smoking prevalence were assessed using logistic regression models., Setting: United States; data were drawn from the 2002 to 2014 National Household Survey on Drug Use (NSDUH), an annual US cross-sectional study., Participants: A representative, population-based sample of US individuals age 12 yeas and older (total analytical population: n = 723 283)., Measurements: Past-month current smoking was defined as having smoked at least 100 lifetime cigarettes and reporting smoking part or all of at least one cigarette during the past 30 days. Respondents were classified as having any SUD if they met criteria for abuse or dependence for one or more of the following illicit drugs: cannabis, hallucinogens, inhalants, tranquilizers, cocaine, heroin, pain relievers, simulants and sedatives. A second SUD variable included all drugs listed above excluding cannabis use disorder (CUD). An additional variable included respondents who met criteria for cannabis abuse or dependence., Findings: Among those with any SUD, the prevalence of smoking did not change from 2002 to 2014 (P = 0.08). However, when CUDs were separated from other SUDs, a significant increase in prevalence of smoking was observed among those with SUDs excluding CUDs (P < 0.001), while smoking decreased among those with CUDs (P < 0.001). Smoking declined among those without SUDs (P < 0.001). In 2014, smoking remained significantly more common among those with any SUD (55.48%), SUDs excluding CUDs (63.34%) and CUDs (51.34%) compared with those without these respective disorders (18.16, 18.55 and 18.64%; P < 0.001)., Conclusions: The prevalence of cigarette smoking in the United States increased from 2002 to 2014 among people with substance use disorders (SUDs) excluding cannabis use disorders (CUDs) and declined among those with CUDs and without SUDs. In 2014, the prevalence of smoking was multifold higher among those with SUDs, including CUDs, compared with those without SUDs., (© 2017 Society for the Study of Addiction.)

Background: It is unclear whether the higher prevalence of posttraumatic stress disorder (PTSD) in women than in men is due to sex differences in the prevalence of the exposure to traumatic events or to differences in vulnerability to traumatic events among those exposed to them., Methods: We applied mediation and moderated mediation models to a large nationally representative sample of US adults (N = 34,653) drawn from Wave 2 (2004-2005) of the National Epidemiologic Survey on Alcohol and Related Conditions., Results: A model that assumed that the effect of 19 traumatic events was the same across sexes and examined whether sex differences in the prevalence of DSM-IV PTSD were due exclusively to sex differences in exposure to traumatic events predicted similar prevalence of PTSD among men and women (indirect effect standardized β = 0.04, P = .61), contrary to empirical findings. By contrast, a model that allowed the effect of 19 traumatic events on risk of PTSD to vary by gender, while taking into account sex differences in the prevalence of exposure, indicated that, for 13 of the traumatic events, the effect was significantly greater in women than in men (range of standardized β coefficients = 0.02-0.12, P < .05). The total indirect and direct effects of sex on PTSD in this model were, respectively, β = 0.42 (P < .01) and β = -0.03 (P = .76), indicating that all of the effect of sex on PTSD was explained by this moderated mediation model., Conclusions: The higher prevalence of PTSD among women appears to be due mainly to their greater vulnerability to the effects of traumatic events., (© Copyright 2018 Physicians Postgraduate Press, Inc.)

Background: Preoperative risk stratification is a critical element in assessing the risks and benefits of surgery. Prior work has demonstrated that intra-abdominal general surgery patients can be classified based on their comorbidities and risk factors using latent class analysis (LCA), a model-based clustering technique designed to find groups of patients that are similar with respect to characteristics entered into the model. Moreover, the latent risk classes were predictive of 30-day mortality. We evaluated the use of latent risk classes to predict the risk of major postoperative complications., Methods: An observational, retrospective cohort of patients undergoing intra-abdominal general surgery in the 2005 to 2010 American College of Surgeons National Surgical Quality Improvement Program was obtained. Known preoperative comorbidity and risk factor data were entered into LCA models to identify the latent risk classes. Complications were defined as: acute kidney injury, acute respiratory failure, cardiac arrest, deep vein thrombosis, myocardial infarction, organ space infection, pneumonia, postoperative bleeding, pulmonary embolism, sepsis/septic shock, stroke, unplanned reintubation, and/or wound dehiscence. Relative risk regression determined the associations between the latent classes and the 30-day complication risks, with adjustments for the surgical procedure. The area under the curve (AUC) of the receiver operator characteristic curve assessed model performance., Results: LCA fit a 9-class model on 466,177 observations. The composite complication risk was 18.4% but varied from 7.7% in the lowest risk class to 56.7% in the highest risk class. After adjusting for procedure, the latent risk classes were significantly associated with complications, with risk ratios (95% confidence intervals) (compared to the class with the average risk) varying from 0.56 (0.54-0.58) in the lowest risk class to 2.15 (2.11-2.20) in the highest risk class, a 4-fold difference. In models incorporating surgical procedure, latent risk class, and the American Society of Anesthesiologists Physical Status, the AUC for composite complications was 0.76 (0.76-0.76). However, for individual complications, there was heterogeneity in model performance using these variables, with AUCs ranging from 0.70 (0.69-0.71) for pulmonary embolus to 0.90 (0.90-0.90) for acute respiratory failure., Conclusions: LCA can be used to classify patients undergoing intra-abdominal general surgery based on preoperative risk factors, and the classes are independently associated with postoperative complications. However, model performance is not uniform across individual complications, resulting in variations in the utility of preoperative risk stratification tools depending on the complication evaluated.

We present an exploratory factor analysis of the 8-item Daily Indignities of Mental Illness (DIMI) scale, created to measure the detection and perceptions of recurring stigma among individuals with recent psychiatric hospitalizations. Structured in-person interviews were conducted with individuals with recent psychiatric hospitalizations in metropolitan New York. The 8-item DIMI scale's internal consistency for the sample (n = 65), measured by Cronbach's alpha, was 0.869. Statistically significantly higher DIMI scale scores were observed among individuals with more than 2 psychotic episodes and those reporting seeing relatives less often after hospitalization. The DIMI scale possesses good internal consistency for research contextualizing perceptions around the occurrence or recurrence of mental illness-related stigma among individuals with recent psychiatric hospitalizations.

Objective: The authors sought to determine whether cannabis use is associated with a change in the risk of incident nonmedical prescription opioid use and opioid use disorder at 3-year follow-up., Method: The authors used logistic regression models to assess prospective associations between cannabis use at wave 1 (2001-2002) and nonmedical prescription opioid use and prescription opioid use disorder at wave 2 (2004-2005) of the National Epidemiologic Survey on Alcohol and Related Conditions. Corresponding analyses were performed among adults with moderate or more severe pain and with nonmedical opioid use at wave 1. Cannabis and prescription opioid use were measured with a structured interview (the Alcohol Use Disorder and Associated Disabilities Interview Schedule-DSM-IV version). Other covariates included age, sex, race/ethnicity, anxiety or mood disorders, family history of drug, alcohol, and behavioral problems, and, in opioid use disorder analyses, nonmedical opioid use., Results: In logistic regression models, cannabis use at wave 1 was associated with increased incident nonmedical prescription opioid use (odds ratio=5.78, 95% CI=4.23-7.90) and opioid use disorder (odds ratio=7.76, 95% CI=4.95-12.16) at wave 2. These associations remained significant after adjustment for background characteristics (nonmedical opioid use: adjusted odds ratio=2.62, 95% CI=1.86-3.69; opioid use disorder: adjusted odds ratio=2.18, 95% CI=1.14-4.14). Among adults with pain at wave 1, cannabis use was also associated with increased incident nonmedical opioid use (adjusted odds ratio=2.99, 95% CI=1.63-5.47) at wave 2; it was also associated with increased incident prescription opioid use disorder, although the association fell short of significance (adjusted odds ratio=2.14, 95% CI=0.95-4.83). Among adults with nonmedical opioid use at wave 1, cannabis use was also associated with an increase in nonmedical opioid use (adjusted odds ratio=3.13, 95% CI=1.19-8.23)., Conclusions: Cannabis use appears to increase rather than decrease the risk of developing nonmedical prescription opioid use and opioid use disorder.

Objectives: To estimate changes in the prevalence of daily cannabis use among current, former, and never cigarette smokers from 2002 to 2014 in the United States., Methods: The National Survey on Drug Use and Health is a nationally representative cross-sectional study conducted annually among persons aged 12 years and older in the United States., Results: Daily cannabis use occurs nearly exclusively among nondaily and daily cigarette smokers compared with former and never smokers (8.03%, 9.01%, 2.79%, 1.05%, respectively). Daily cannabis use increased over the past decade among both nondaily (8.03% [2014] vs 2.85% [2002]; linear trend P < .001) and daily smokers (9.01% [2014]; 4.92% [2002]; linear trend P < .001). Daily cannabis use increased most rapidly among former cigarette smokers (2.79% [2014] vs 0.98% [2002]; linear trend P < .001)., Conclusions: Daily cannabis use occurs predominantly among cigarette smokers in the United States. Daily cannabis use increased among current, former, and never smokers over the past decade, with particularly rapid increases among youth and female cigarette smokers. Future research is needed to monitor the observed increase in daily cannabis use, especially among youths and adults who smoke cigarettes.

This article addresses a lack of attention in the implementation science literature regarding how to overcome recruitment and retention challenges in longitudinal studies involving large samples of service agencies and health service providers ("providers"). Herein, we provide a case-illustration of procedures that improved recruitment and retention in a longitudinal, mixed-method study-Project Interprofessional Collaboration Implementation-funded by the US National Institute of Mental Health. Project Interprofessional Collaboration Implementation included counselors, program workers, educators, and supervisors. We present a research-engagement model to overcome barriers that included developing a low-burden study, social gatherings to engage stakeholders, protocols to recruit agencies and providers, comprehensive record-keeping, research procedures as incentives to participation, a plan to retain hard-to-reach participants, and strategies for modifying incentives over time. Using our model, we retained 36 agencies over the life of the project. Between baseline (N = 379) and 12-month follow-up (N = 285), we retained 75% of the sample and between the 12- (N = 285) and 24-month follow-ups (N = 256), we retained 90%. For qualitative interviews (between baseline and 12-month follow-up and between 12- and 24-month follow-ups), we retained 100% of the sample (N = 20). We provide a summary of frequency of contacts required to initiate data collection and time required for data collection. The model responded to environmental changes in policy and priorities that would not have been achievable without the expertise of community partners. To recruit and retain large samples longitudinally, researchers must strategically engage community partners. The strategies imbedded in our model can be performed with moderate levels of effort and human resources. Creating opportunities for research partners to participate in all phases of the research cycle is recommended, which can help build research capacity for future research., Competing Interests: Declaration of conflicting interests The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Introduction: The current study aims to characterize weight-change trajectories and their concomitant associations with prospectively measured dieting and other disordered eating behaviors among initially nonoverweight adolescents during the transition to adulthood., Methods: A population-based sample (n=1,091) self-reported their height/weight, dieting, unhealthy weight-control behaviors, and binge eating at 5-year intervals between 1998/1999 and 2013/2014, spanning early/middle adolescence through middle/late young adulthood. Data were analyzed in 2016/2017., Results: Groups were categorized as those who were never overweight (n=562), were overweight during at least one measurement point and gained weight more rapidly (n=246) or gradually (n=238) than their peers, or were overweight during at least one measurement point but returned to nonoverweight status by middle/late young adulthood (n=45). Thus, nearly half of adolescents became overweight during the transition to adulthood. Those who were never overweight had the lowest rates of dieting (males: F[9, 1,314]=2.54, p=0.0069, females: F[9, 1,927]=3.02, p=0.0014) and unhealthy weight-control behaviors (males: F[9, 1,313]=3.30, p=0.0005, females: F[9, 1,927]=3.02, p=0.0014), whereas some of these behaviors tended to track with weight gain in rapid and gradual weight gainers., Conclusions: Although adolescents who are already overweight are most frequently targeted for weight-gain prevention and early intervention programs, results suggest that healthy lifestyle interventions could also benefit individuals who may be perceived as low risk for overweight in adulthood by nature of being nonoverweight in adolescence. Dieting and unhealthy weight-control behaviors tended to be associated with weight gain, suggesting that they are ineffective in addition to being potentially harmful., (Copyright © 2018 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Importance: Despite strong theoretical rationale and preclinical evidence, several glutamate-targeted treatments for schizophrenia have failed in recent pivotal trials, prompting questions as to target validity, compound inadequacy, or lack of target engagement. A key limitation for glutamate-based treatment development is the lack of functional target-engagement biomarkers for translation between preclinical and early-stage clinical studies. We evaluated the utility of 3 potential biomarkers-ketamine-evoked changes in the functional magnetic imaging (fMRI) blood oxygen level-dependent response (pharmacoBOLD), glutamate proton magnetic resonance spectroscopy (1H MRS), and task-based fMRI-for detecting ketamine-related alterations in brain glutamate., Objective: To identify measures with sufficient effect size and cross-site reliability to serve as glutamatergic target engagement biomarkers within early-phase clinical studies., Design, Setting, and Participants: This randomized clinical trial was conducted at an academic research institution between May 2014 and October 2015 as part of the National Institute of Mental Health-funded Fast-Fail Trial for Psychotic Spectrum Disorders project. All raters were blinded to study group. Healthy volunteers aged 18 to 55 years of either sex and free of significant medical or psychiatric history were recruited from 3 sites. Data were analyzed between November 2015 and December 2016., Interventions: Volunteers received either sequential ketamine (0.23 mg/kg infusion over 1 minute followed by 0.58 mg/kg/h infusion over 30 minutes and then 0.29 mg/kg/h infusion over 29 minutes) or placebo infusions., Main Outcomes and Measures: Ketamine-induced changes in pharmacoBOLD, 1H MRS, and task-based fMRI measures, along with symptom ratings. Measures were prespecified prior to data collection., Results: Of the 65 volunteers, 41 (63%) were male, and the mean (SD) age was 31.1 (9.6) years; 59 (91%) had at least 1 valid scan. A total of 53 volunteers (82%) completed both ketamine infusions. In pharmacoBOLD, a highly robust increase (Cohen d = 5.4; P < .001) in fMRI response was observed, with a consistent response across sites. A smaller but significant signal (Cohen d = 0.64; P = .04) was also observed in 1H MRS-determined levels of glutamate+glutamine immediately following ketamine infusion. By contrast, no significant differences in task-activated fMRI responses were found between groups., Conclusions and Relevance: These findings demonstrate robust effects of ketamine on pharmacoBOLD across sites, supporting its utility for definitive assessment of functional target engagement. Other measures, while sensitive to ketamine effects, were not sufficiently robust for use as cross-site target engagement measures., Trial Registration: clinicaltrials.gov Identifier: NCT02134951.

There is a lack of insight into the relationships between violent ideation, violent behavior, and early, particularly attenuated, psychosis. Our aims were to examine the relationships between baseline violent behavior and violent ideation and outcome violent behavior and conversion to psychosis in at-risk individuals. We longitudinally assessed 200 individuals at clinical high risk for psychosis for violent ideation and violent behavior using the Structured Interview for Psychosis-Risk Syndromes (SIPS), and rated these according to MacArthur Community Violence categories. Fifty-six individuals (28%) reported violent ideation at baseline, 12 (6%) reported violent behavior within 6 months pre-baseline, and 8 (4%) committed acts of violence during the follow-up time period. Information about violent ideation was obtained only by indirect, but not direct, inquiry about violent ideation. Both violent ideation and violent behavior at baseline significantly predicted violent behavior (RR=13.9, p=0.001; RR=8.3, p=0.003, respectively) during follow-up, as well as a diagnosis of psychosis (RR=2.3 and 2.4, respectively; both p<0.001), independent of more than 40 clinical and demographic variables. The targets of the subjects' violent ideation at baseline were completely different than their subsequent targets of violent behavior. Violent behavior occurred within 7 days (SD 35 days) of a diagnosis of syndromal psychosis. These data suggest that checking carefully for violent ideation and behavior in clinical high-risk patients is essential, as these have predictive value for conversion to psychosis and likelihood of violence in the future.