Impulsivity profiles across five harmonized longitudinal childhood preventive interventions and associations with adult outcomes.

This study aimed to parse between-person heterogeneity in growth of impulsivity across childhood and adolescence among participants enrolled in five childhood preventive intervention trials targeting conduct problems. In addition, we aimed to test profile membership in relation to adult psychopathologies. Measurement items representing impulsive behavior across grades 2, 4, 5, 7, 8, and 10, and aggression, substance use, suicidal ideation/attempts, and anxiety/depression in adulthood were integrated from the five trials (N = 4,975). We applied latent class growth analysis to this sample, as well as samples separated into nonintervention (n = 2,492) and intervention (n = 2,483) participants. Across all samples, profiles were characterized by high, moderate, low, and low-increasing impulsive levels. Regarding adult outcomes, in all samples, the high, moderate, and low profiles endorsed greater levels of aggression compared to the low-increasing profile. There were nuanced differences across samples and profiles on suicidal ideation/attempts and anxiety/depression. Across samples, there were no significant differences between profiles on substance use. Overall, our study helps to inform understanding of the developmental course and prognosis of impulsivity, as well as adding to collaborative efforts linking data across multiple studies to better inform understanding of developmental processes.

Reduced drug use as an alternative valid outcome in individuals with stimulant use disorders: Findings from 13 multisite randomized clinical trials.

BACKGROUND AND AIMS: Total abstinence has historically been the goal of treatment for substance use disorders; however, there is a growing recognition of the health benefits associated with reduced use as a harm reduction measure in stimulant use disorders treatment. We aimed to assess the validity of reduced stimulant use as an outcome measure in randomized controlled trials (RCTs) of pharmacological interventions for stimulant use disorder. DESIGN: We conducted a secondary analysis of a pooled dataset of 13 RCTs. SETTING AND PARTICIPANTS: Participants were individuals seeking treatment for cocaine or methamphetamine use disorders (N = 2062) in a wide range of treatment facilities in the United States. MEASUREMENTS: We validated reduced stimulant use against a set of clinical indicators drawn from harmonized measurements, including severity of problems caused by drug use, comorbid depression, global severity of substance use and improvement, severity of drug-seeking behavior, craving and high-risk behaviors, all assessed at the end of the trial, as well as follow-up urine toxicology. A series of mixed effect regression models was conducted to validate reduction in frequency of use against no reduction in use and abstinence. FINDINGS: More participants reduced frequency of primary drug use than achieved abstinence (18.0% vs. 14.2%, respectively). Reduced use was significantly associated with decreases in craving for the primary drug [60.1%, 95% confidence interval (CI) = 54.3%-64.7%], drug seeking behaviors (41.0%, 95% CI = 36.6%-45.7%), depression severity (39.9%, 95% CI = 30.9%-48.3%), as well as multiple measures of global improvement in psychosocial functioning and severity of drug-related problems, albeit less strongly so than abstinence. Moreover, reduced use was associated with sustained clinical benefit at follow-up, as confirmed by negative urine tests (adjusted odds ratio compared with those with no reduction in use: 0.50, 95% CI = 0.35-0.71). CONCLUSION: Reduced frequency of stimulant use appears to be associated with meaningful improvement in various clinical indicators of recovery. Assessment of reduced use, in addition to abstinence, could broaden the scope of outcomes measured in randomized controlled trials of stimulant use disorders and facilitate the development of more diverse treatment approaches.

Association of cigarette excise taxes and clean indoor air laws with change in smoking behavior in the United States: a Markov modeling analysis.

The rates of cigarette smoking in the United States have declined over the past few decades in parallel with increases in cigarette taxes and introduction of more stringent clean indoor air laws. Few longitudinal studies have examined association of taxes and clean indoor air policies with change in smoking nationally. This study examined the association of state and local cigarette taxes and clean indoor laws with change in smoking status of 18,499 adult participants of the longitudinal 2010-2011 Tobacco Use Supplement of the Current Population Survey over a period of 1 year. Every $1 increase in cigarette excise taxes was associated with 36% higher likelihood of stopping smoking among regular smokers. We found no association between clean indoor air laws and smoking cessation nor between taxes and clean indoor air laws with lower risk of smoking initiation. Cigarette taxes appear to be effective anti-smoking policies. Some state and local governments do not take full advantage of this effective policy measure.

Implementation of Overdose Prevention in Maryland: Implications for Resource Allocation, Program Scale-Up, and Evaluation.

Overdose mortality in the United States continues to climb, with Maryland being one of the hardest hit states. We summarized implementation of overdose prevention and response programs in Maryland and identified associations between opioid overdose deaths by jurisdiction in 2019 and implementation of overdose programs by 2021. Data on program implementation are from Maryland's Opioid Operational Command Center (OOCC) Program Inventory. OOCC coordinates the state's response to overdose, and their Program Inventory tracks implementation of 145 programs across 12 domains (e.g., public health, education, and judiciary), including 10 programs designed to broaden naloxone access. The level of program implementation was dichotomized as substantial implementation versus other levels (i.e., partial, planned, and none). We estimated associations between per capita opioid overdose deaths and substantial implementation of: all 145 programs in the Inventory, programs within each of 12 domains, and 10 naloxone programs. Data on program implementation and overdose mortality are summarized at the jurisdiction level. Across jurisdictions, the median proportion of programs with substantial implementation was 51% across all programs and 70% among naloxone programs. Overdose mortality was associated with subsequent substantial implementation of programs within the public health domain (p = .04), but not in the other 11 domains. We did not find evidence that per capita overdose deaths in 2019 spurred overdose program implementation by 2021, with the exception of public health programs. The OOCC Program Inventory is a novel way to track implementation across jurisdictions. Findings can inform the implementation and evaluation of overdose programs in other jurisdictions across the United States.

Psychosis Symptom Trajectories Across Childhood and Adolescence in Three Longitudinal Studies: An Integrative Data Analysis with Mixture Modeling.

Psychotic-like experiences (PLEs) are common throughout childhood, and the presence of these experiences is a significant risk factor for poor mental health later in development. Given the association of PLEs with a broad number of mental health diagnoses, these experiences serve as an important malleable target for early preventive interventions. However, little is known about these experiences across childhood. While these experiences may be common, longitudinal measurement in non-clinical settings is not. Therefore, in order to explore longitudinal trajectories of PLEs in childhood, we harmonized three school-based randomized control trials with longitudinal follow-up to identify heterogeneity in trajectories of these experiences. In an integrative data analysis (IDA) using growth mixture modeling, we identified three latent trajectory classes. One trajectory class was characterized by persistent PLEs, one was characterized by high initial probabilities but improving across the analytic period, and one was characterized by no reports of PLEs. Compared to the class without PLEs, those in the improving class were more likely to be male and have higher levels of aggressive and disruptive behavior at baseline. In addition to the substantive impact this work has on PLE research, we also discuss the methodological innovation as it relates to IDA. This IDA demonstrates the complexity of pooling data across multiple studies to estimate longitudinal mixture models.

Disruptions to naloxone training among lay and occupational responders in Maryland during the emergence of COVID-19: early impacts, recovery, and lessons learned.

Background: : Opioid overdose death rates increased during the COVID-19 pandemic. Disruptions in community-based naloxone trainings could have reduced the likelihood of overdose reversal and increased the chances of a fatal overdose. We investigated changes in the number of people trained in naloxone administration and distribution in Maryland before, during, and after COVID-related stay-at-home orders. Methods: : Data on naloxone training are from the Maryland Department of Health. We used interrupted time series models to estimate changes in average monthly number of people trained: [1] pre-interruption (4/2019-3/2020), [2] 1-month post-interruption (4/2020-5/2020), and [3] 12-months post-interruption (4/2020-3/2021). Trainees were classified as lay (e.g., people who use drugs) or occupational (e.g., law enforcement officers and harm reduction workers) responders. Results: : There were 101,332 trainees; 54.1% lay, 21.5% occupational, and 23.4% unknown responder status. We observed a decrease in the average monthly number of trainees in the pre-interruption period (-235, p<0.001), a larger decrease of 93.2% during the 1-month post-interruption (-846, p=0.013), and an increase 12-months post-interruption (+217, p<0.001). There was a significant decrease among occupational responders 1-month post-interruption, and a significant increase among lay responders in the 12-month post-interruption period. Conclusions: : Findings suggest a marked decrease in naloxone trainees immediately after stay-at-home order, followed by a moderate rebound in the 12-months after stay-at-home order. The decrease in occupational responders trained may have limited access to naloxone, but would likely have been offset by increases in number of lay responders trained. Strengthening lay and occupational responder connections could maintain naloxone distribution during public health crises.

Impact of unsolicited reporting notifications on providers' prescribing behavior: An experimental study on Maryland PDMP data.

BACKGROUND: Unsolicited Reporting Notifications(URNs) have been a component of Maryland's Prescription Drug Monitoring Program (PDMP) since 2016. We evaluated the effect of URNs on providers' prescription behaviors. METHODS: This is a quasi-experimental study of providers who were issued at least one URN from January 2018 to April 2021. Providers for whom URNs were not successfully delivered were designated as a comparison group. The outcome variables were average daily opioid and benzodiazepine prescriptions, average morphine milligram equivalents per patient, and proportion of overlapping opioid and benzodiazepine, either with or without muscle relaxant prescriptions. Changes were compared before versus after the issuance of a URN among the intervention and comparison groups using "Generalized Estimation Equation" and "Generalized Linear" Models. We also conducted stratified analyses by types of URN, including notifications for multiple provider episodes (MPE), overdose fatality (ODF), and dangerous drug combinations (DDC). RESULTS: The average daily number of opioids prescriptions (3.3% decrease in the intervention group vs 22.7% increase in the comparison group, P<0.001), co-prescription of opioids and benzodiazepines either with muscle relaxants (68.0% decrease vs. 36.1% decrease, P<0.001), or without muscle relaxants (6.0% decrease vs. 16.3% increase, P<0.001), significantly reduced after the first URN regardless of the type of URN. Stratified analysis by types of URNs showed that ODF and DDC URNs had a significant effect on most of the outcomes of interest. CONCLUSION: The findings suggest that unsolicited reporting, especially particular types of URNs including ODF and DDC, is associated with subsequent changes in unsafe prescribing behaviors.

Prevalence and Correlates of Opioid-Involved Suicides in Maryland.

OBJECTIVE: Involvement of opioids in suicides has doubled during the past two decades, worsening a major public health concern. This study examined the characteristics of opioid-involved suicides. METHODS: The sample of decedents (N = 12,038) in Maryland between 2006 and 2020 was used to compare the characteristics of opioid-involved suicides (n = 947) with suicides not involving opioids (n = 6,896) and accidental opioid deaths (n = 4,125). Direct comparisons were then made between opioid-involved suicides with and without the additional presence of non-opioid substances. RESULTS: Opioid-involved suicides were significantly more likely than suicides not involving opioids to occur among those aged 18-64 years, non-Hispanic Whites, and unemployed or disabled individuals. Opioid-involved suicides were more likely than accidental opioid deaths to occur among females, those aged <18 years, non-Hispanic Whites, and employed individuals. Of all suicides involved opioids, 45% involved other non-opioid substances. Polysubstance opioid suicides were significantly more likely than suicides involving opioids only to occur among non-Hispanic Whites. CONCLUSIONS: Significant differences were observed in the demographic groups most at risk for opioid-involved suicide than other suicide or accidental opioid death. Among opioid-involved suicides, polysubstance involvement also represents a distinct group. These findings may enhance the targeting of prevention efforts.HIGHLIGHTSOpioid-involved suicides differ from other suicides or accidental opioid deaths.In opioid-involved suicides, polysubstance involvement represents a distinct group.These findings may enhance the targeting of prevention efforts.

Utilizing Moderated Non-linear Factor Analysis Models for Integrative Data Analysis: A Tutorial.

Integrative data analysis (IDA) is an analytic tool that allows researchers to combine raw data across multiple, independent studies, providing improved measurement of latent constructs as compared to single study analysis or meta-analyses. This is often achieved through implementation of moderated nonlinear factor analysis (MNLFA), an advanced modeling approach that allows for covariate moderation of item and factor parameters. The current paper provides an overview of this modeling technique, highlighting distinct advantages most apt for IDA. We further illustrate the complex modeling building process involved in MNLFA by providing a tutorial using empirical data from five separate prevention trials. The code and data used for analyses are also provided.

The role of mood disorders in the progression of and recovery from alcohol and drug use problems: A latent transition analysis.

INTRODUCTION: Longitudinal research assessing whether mood disorders predict substance use behaviors is limited. We extend our prior work evaluating transition patterns with alcohol use to assess patterns with alcohol and drug use problems. METHOD: Using National Epidemiologic Survey on Alcohol and Related Conditions prospective data, waves 1 and 2, we completed latent class analyses to empirically define classes of alcohol and drug problems from DSM disorder criteria. Latent transition analyses were used to assess associations of lifetime mood disorders at baseline with transitions across classes of alcohol and drug problems during follow-up. RESULTS: A three-class model of alcohol and drug problems was identified (No problems, Alcohol Problems Only, and Alcohol and Drug Problems) for males and females. Females with mood disorders were over two times more likely to transition from No Problems, and Alcohol Problems Only at baseline to having both Alcohol and Drug Problems at follow-up relative to those without mood disorders (aOR=2.30, 95 % CI=1.31-4.05, p = 0.004, and aOR=2.64, CI=1.24-5.62, p = 0.011, respectively). Furthermore, females with mood disorders were significantly less likely to recover from baseline Alcohol and Drug Problems to Alcohol Problems Only at follow-up (aOR=0.35, CI=0.12-0.98, p = 0.047) relative to those without mood disorders. There were no significant findings for males. DISCUSSION: Our study provides evidence that mood disorders impact transitions through classes of alcohol and drug problems among females. The findings emphasize the need for ongoing evaluation of substance use among those with mood conditions, and recognition and treatment of mood disorders among those recovering from substance use problems.

Impact of early, weekly drinking on latent classes of alcohol involvement progression and recovery: Evidence from the NESARC Waves 1 and 2.

INTRODUCTION: Early drinkers have been found to have higher risk of developing alcohol use disorder; however, the association of early drinking with progression to problematic alcohol involvement that does not meet disorder criteria (i.e., subclinical problems) or to severe stages of alcohol involvement, sex-specific associations, and relationship of early drinking with alcohol recovery have rarely been investigated. METHODS: Using data from Waves 1 and 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC), we applied latent transition analyses to investigate the impact of weekly drinking before age 18 on alcohol progression and recovery operationalized as three classes of alcohol involvement using abuse and dependence indicators. We analyzed data separately for male (n = 12,276) and female (n = 14,750) drinkers and applied propensity score methods to address confounding. RESULTS: We observed significant associations between early, weekly drinking and alcohol involvement class membership at Wave 1 for both males and females. For males, early, weekly drinking was also associated with greater odds of transitioning from moderate to severe alcohol problems (aOR = 3.19, 95% CI = 1.72, 5.35). For females, early, weekly drinking predicted the transition from no to severe problems (aOR = 2.98, 95% CI = 1.11-8.00). Contrary to our hypothesis, early, weekly drinking was associated with greater likelihood of transition from severe to no problems for males (aOR = 3.23, 95% CI = 1.26, 8.26). DISCUSSION: Frequent, early drinking seems to be an important indicator of drinking progression with differential associations by sex. This information is useful to identify those at greater risk of progressing to severe drinking problems to intervene appropriately.

Ineligibility for and Refusal to Participate in Randomized Controlled Trials That Have Studied Impact on Suicide-Related Outcomes in the United States: A Meta-Analysis.

Objective: Ineligibility for and refusal to participate in randomized controlled trials (RCTs) can potentially lead to unrepresentative study samples and limited generalizability of findings. We examined the rates of exclusion and refusal in RCTs that have studied impact on suicide-related outcomes in the US.Data Sources: PubMed, the Cochrane Library, the Campbell Collaboration Library of Systematic Reviews, CINAHL, PsycINFO, and Education Resources Information Center were searched from January 1990 to May 2020 using the terms (suicide prevention) AND (clinical trial).Study Selection: Of 8,403 studies retrieved, 36 RCTs assessing effectiveness on suicide-related outcomes in youth (≤ 25 years old) conducted in the US were included.Data Extraction: Study-level data were extracted by 2 independent investigators for a random-effects meta-analysis and meta-regression.Results: The study participants (N = 13,264) had a mean (SD) age of 14.87 (1.58) years and were 50% male, 23% African American, and 24% Hispanic. The exclusion rate was 36.4%, while the refusal rate was 25.5%. The exclusion rate was significantly higher in the studies excluding individuals not exceeding specified cutoff points of suicide screening tools (51.2%; adjusted linear coefficient [ß] = 1.30, standard error [SE] = 0.15; P = .041) and individuals not meeting the age or school grade criterion (45.9%; ß = 1.37, SE = 0.13; P = .005).Conclusions: The rates of exclusion and refusal in youth prevention interventions studying impact on suicide-related outcomes were not as high compared to the rates found in other mental and behavioral interventions. While there was strong racial/ethnic group representation in RCTs examining youth suicide-related outcomes, suicide severity and age limited eligibility.

Unsolicited reporting notifications (URNs) through Maryland's prescription drug monitoring program (PDMP): Characteristics of providers.

Objectives: Unsolicited reporting is the activity of analyzing Prescription Drug Monitoring Program (PDMP) data and then sending unsolicited reporting notifications (URNs) to prescribers to notify them of their outlier prescribing behavior. We aimed to describe information about prescribers who were issued URNs. Methods: A retrospective study of Maryland's PDMP data from Jan.2018-Apr.2021. All providers who were issued ≥ one URN were included in analyses. We summarized data on types of URNs issued by provider type and years in practice using basic descriptive measures. We also performed logistic regression analysis to provide odds ratio and estimated marginal probability of issuing ≥ one URN to providers in the Maryland health care workforce in comparison with physicians as reference group. Results: A total of 4,446 URNs were issued to 2,750 unique providers. Odds ratio (OR) and the population estimated probability of issuing URNs were higher among nurse practitioners [OR: 1.42, 95% Confidence Interval (CI): 1.26-1.59] followed by physician assistants [OR: 1.87, 95% CI: 1.69-2.08], compared to physicians. Physicians and dentists with >10 years in practice comprised the majority of providers who were issued URNs (65.1% and 62.6%, respectively), while majority of nurse practitioners had been in practice for <10 years (75.8%). Conclusion: Findings indicate a higher probability of issuing URN for Maryland's physician assistants and nurse practitioners, compared to physicians, and an overrepresentation of physicians and dentists with longer and nurse practitioners with shorter practice experience. The study suggests education programs on safer prescribing practices and management of opioids should target certain types of providers.

Stressful life events and transitions in problematic alcohol use involvement among US adults.

OBJECTIVE: We investigated the impact of stressful life events (SLEs) for males and females on transitions in problematic alcohol involvement, both progression and recovery, over a 3-year interval. METHOD: Participants of both Wave 1 (2001-2002) and Wave 2 (2004-2005) of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) were stratified by sex (14,233 males and 19,550 females). Latent transition analysis estimated the impact of experiencing ≥3 SLE in the year preceding the Wave 1 interview on the probability of transitioning between three empirically-derived stages of alcohol involvement (patterns of alcohol use disorder [AUD] symptoms), across waves. Propensity score methods adjusted for confounding. RESULTS: For males, three or more SLEs were associated with progression from the moderate to the severe problem stage (odds ratio [OR] = 2.23, 95% confidence interval [CI] = 1.17, 4.26). Among those in the severe problem stage, SLEs negatively impacted recovery regardless of sex. Employment/Financial SLEs were associated with a higher odds of transition from the moderate to the no problem stage (OR = 1.60, 95% CI = 1.03, 2.46) and lower odds of transitions from the severe to the moderate problem stage (OR = 0.40, 95% CI = 0.16, 0.99) among males, and from the severe to the no problem stage (OR = 0.26, 95% CI = 0.07, 0.88) among females. CONCLUSION: Stressful life events appear to affect transitions in alcohol involvement over time among those who already have alcohol problems, rather than impacting a transition among those without AUD problems.

Patterns of reduced use and abstinence in multi-site randomized controlled trials of pharmacotherapies for cocaine and methamphetamine use disorders.

BACKGROUND: Many individuals with cocaine or methamphetamine use disorders who enter treatment do not achieve abstinence but reduce their use of the target drug. We aimed to compare change in pattern of drug use (i.e., achieving "abstinence", "reduced use" or no reduction in use) among participants in randomized controlled trials (RCTs) of treatment of cocaine and methamphetamine use disorder, irrespective of the type of treatment. METHODS: The data were drawn from 10 multi-site pharmacotherapy RCTs of cocaine (n = 1,134) and methamphetamine (n = 555) use disorders. The outcome patterns and their sociodemographic and clinical correlates were compared in cocaine and methamphetamine RCTs, using multinomial logistic regression models. Analyses were adjusted for missing data, clustering within RCTs, socio-demographic and baseline clinical characteristics, and treatment arms. RESULTS: Those in cocaine RCTs were more likely to experience reduced use compared to participants in methamphetamine RCTs (20.6% vs. 13.2%, respectively), but less likely to experience "abstinence" (7.6% vs. 20.3%; Chi-squared = 14.20, df = 2, P < 0.001). Differences in "abstinence" persisted after adjustment for baseline covariates. Association of sociodemographic and clinical correlates with outcomes differed in cocaine and methamphetamine RCTs. CONCLUSION: A sizeable proportion of individuals in RCTs of pharmacological treatment for stimulant use disorder who do not attain "abstinence" nevertheless reduce their use. The outcome patterns of drug use are different for cocaine and methamphetamine use disorders and reliance on abstinence as the sole outcome may obscure these differences.

Perspectives on illness-related stigma and electronically sharing psychiatric health information by people with multiple sclerosis.

BACKGROUND: Electronic medical records (EMRs) facilitate more integrated and comprehensive care. Despite this, EMRs are used less frequently in psychiatry compared to other medical disciplines, in part due to concerns regarding stigma surrounding mental health. This paper explores the willingness to share medical information among patients with multiple sclerosis (MS), who experience higher rates of psychiatric comorbidities compared to the general population, and the role that stigma plays in patient preferences. METHODS: MS patients were surveyed about their co-occurring psychiatric and non-psychiatric diagnoses, willingness to share their health information electronically among their treating doctors, and levels of self and societal stigma associated with their diagnoses. RESULTS: Participants were slightly more willing to share their non-psychiatric medical information vs. psychiatric information. Despite the presence of stigma decreasing patient willingness to share medical records, those with psychiatric co-occurring disorders, compared to those without, endorsed significantly greater willingness to electronically share their health records. The majority of diagnoses for which participants experienced the greatest difference in self vs. societal stigmas were psychiatric ones, including substance use, eating and mood disorders. Societal stigma strongly correlated with decreased non-psychiatric medication sharing, while self stigma was strongly correlated with decreased psychiatric medications sharing. LIMITATIONS: Standardized scales were not used to assess patient stigma and there is a potential lack of generalizability of results beyond patients with MS. CONCLUSIONS: These insights into patient preferences toward sharing their medical information should inform decisions to implement EMRs, particularly for patient populations experiencing higher than average levels of psychiatric comorbidities.

Data management in substance use disorder treatment research: Implications from data harmonization of National Institute on Drug Abuse-funded randomized controlled trials.

BACKGROUND: Secondary analysis of data from completed randomized controlled trials is a critical and efficient way to maximize the potential benefits from past research. De-identified primary data from completed randomized controlled trials have been increasingly available in recent years; however, the lack of standardized data products is a major barrier to further use of these valuable data. Pre-statistical harmonization of data structure, variables, and codebooks across randomized controlled trials would facilitate secondary data analysis, including meta-analyses and comparative effectiveness studies. We describe a pre-statistical data harmonization initiative to standardize de-identified primary data from substance use disorder treatment randomized controlled trials funded by the National Institute on Drug Abuse available on the National Institute on Drug Abuse Data Share website. METHODS: Standardized datasets and codebooks with consistent data structures, variable names, labels, and definitions were developed for 36 completed randomized controlled trials. Common data domains were identified to bundle data files from individual randomized controlled trials according to relevant concepts. Variables were harmonized if at least two randomized controlled trials used the same instruments. The structures of the harmonized data were determined based on the feedback from clinical trialists and substance use disorder research experts. RESULTS: We have created a harmonized database of variables across 36 randomized controlled trials with a build-in label and a brief definition for each variable. Data files from the randomized controlled trials have been consistently categorized into eight domains (enrollment, demographics, adherence, adverse events, physical health measures, mental-behavioral-cognitive health measures, self-reported substance use measures, and biologic substance use measures). Standardized codebooks and concordance tables have also been developed to help identify instruments and variables of interest more easily. CONCLUSION: The harmonized data of randomized controlled trials of substance use disorder treatments can potentially promote future secondary data analysis of completed randomized controlled trials, allowing combining data from multiple randomized controlled trials and provide guidance for future randomized controlled trials in substance use disorder treatment research.

Generalizing randomized trial findings to a target population using complex survey population data.

Randomized trials are considered the gold standard for estimating causal effects. Trial findings are often used to inform policy and programming efforts, yet their results may not generalize well to a relevant target population due to potential differences in effect moderators between the trial and population. Statistical methods have been developed to improve generalizability by combining trials and population data, and weighting the trial to resemble the population on baseline covariates. Large-scale surveys in fields such as health and education with complex survey designs are a logical source for population data; however, there is currently no best practice for incorporating survey weights when generalizing trial findings to a complex survey. We propose and investigate ways to incorporate survey weights in this context. We examine the performance of our proposed estimator through simulations in comparison to estimators that ignore the complex survey design. We then apply the methods to generalize findings from two trials-a lifestyle intervention for blood pressure reduction and a web-based intervention to treat substance use disorders-to their respective target populations using population data from complex surveys. The work highlights the importance in properly accounting for the complex survey design when generalizing trial findings to a population represented by a complex survey sample.

Adverse childhood experiences (ACEs) and transitions in stages of alcohol involvement among US adults: Progression and regression.

BACKGROUND: Adverse childhood experiences (ACEs) are associated with a number of medical comorbidities. However, there is a paucity of data on the role ACEs play in transitions in stages of alcohol involvement. OBJECTIVE: To examine the association between ACEs and transitions in alcohol problems progression and regression between No Problems, Moderate Problems and Severe Problems stages. PARTICIPANTS AND SETTING: Data from 14,363 male and 19,774 female participants in Waves 1 and 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). METHODS: We used latent transition analysis (LTA) with propensity score adjustment to estimate the odds of transitioning across stages of alcohol involvement, between waves, based on the number of types of ACEs experienced. We hypothesized that ACEs would be associated with increased risk of progression and decreased risk of regression. RESULTS: ACEs were associated with progression to higher alcohol involvement stages, with greatest likelihood of progression from No Problems to Severe Problems for those reporting ≥3 ACEs (males: aOR = 4.78 [CI (1.84-12.44)]; females: aOR = 3.81 [CI (1.69-8.57)]). ACEs were also associated with decreased odds of regression to less problematic alcohol involvement stages, with some distinctive patterns of associations in males and in females. CONCLUSIONS: This study suggests that ACEs impact transitions in alcohol involvement in both males and females, affecting both progression and regression. The association is magnified for those with multiple types of ACE exposures. These results highlight the need for prevention, early identification and intervention to mitigate the risks associated with childhood maltreatment.

Association of prenatal psychological distress and postpartum depression with varying physical activity intensity: Japan Environment and Children's Study (JECS).

Evidence is mixed on the associations between physical activity during pregnancy and perinatal depression, and it is limited for different physical activity intensities. Data for 92,743 pregnant women from the Japan Environment and Children's Study were analyzed in this study. Psychological distress during pregnancy was assessed as moderate or severe using the Kessler Psychological Distress Scale (K6 5-12 and ≥13, respectively). Postpartum depression was assessed using the Edinburgh Postpartum Depression Scale (EPDS; cut-off score 9). Women with only light physical activity had significantly lower odds of psychological distress during pregnancy than those with no physical activity (K6 5-12: adjusted odds ratio [AOR] 0.86, 95% confidence interval [95%CI] 0.82, 0.90; K6 ≥ 13: AOR 0.64, 95%CI 0.58, 0.72). Women with a combination of light, moderate and vigorous physical activity had significantly higher odds of psychological distress during pregnancy (K6 5-12: AOR 1.32, 95%CI 1.18, 1.48; K6 ≥ 13: AOR 1.45, 95%CI 1.16, 1.81) and depression after childbirth (EPDS ≥ 9: AOR 1.42, 95%CI 1.24, 1.61). Physical activity intensity should be considered when assessing psychological distress risk during pregnancy and depression risk after delivery. Future research should evaluate specific physical activity programs with optimal intensity for pregnant women to prevent and treat their psychological distress and depression.