Longitudinal associations between psychedelic use and meditation practices in the United States and the United Kingdom.

BACKGROUND: Previous research has proposed that there may be potential synergies between psychedelic and meditation interventions, but there are still knowledge gaps that merit further investigation. METHODS: Using a longitudinal observational research design with samples representative of the US and UK adult population with regard to sex, age, and ethnicity (N = 9732), we investigated potential associations between self-reported psychedelic use and meditation practice. RESULTS: The follow-up survey was completed by 7667 respondents (79% retention rate), with 100 respondents reporting psychedelic use during the 2-month study period (1.3% of follow-up respondents). In covariate-adjusted regression models, psychedelic use during the study period was associated with greater increases in the number of days of mindfulness meditation practice in the past week (B = 0.40, p = 0.004). Among those who reported psychedelic use during the study period, covariate-adjusted regression models revealed that the subjective experience of insight during respondents' most intense psychedelic experience in that period was also associated with greater increases in the number of days of mindfulness and loving-kindness or compassion meditation practice in the past week (B = 0.42, p = 0.021; B = 0.38, p = 0.017). Notably, more days of loving-kindness or compassion meditation practice in the past week at baseline was associated with less severe subjective feelings of death or dying during respondents' most intense psychedelic experience in the study period (B = -0.29, p = 0.037). CONCLUSIONS: Psychedelic use might lead to greater engagement with meditation practices such as mindfulness meditation, while meditation practices such as loving-kindness or compassion medication might buffer against certain challenging experiences associated with psychedelic use.

How often should I meditate? A randomized trial examining the role of meditation frequency when total amount of meditation is held constant.

Meditation apps are the most commonly used mental health apps. However, the optimal dosing of app-delivered meditation practice has not been established. We examined whether the distribution of meditation practices across a day impacted outcomes in a distressed population. We investigated the effects of meditation practice frequency in a 2-week compassion-based meditation intervention delivered via the Healthy Minds Program app. Undergraduates with clinically elevated depression and/or anxiety (N = 351) were randomized to a massed (one 20-min meditation per day) or distributed condition (two 10-min meditations per day). Psychological distress (primary outcome; composite of depression and anxiety), experiential avoidance, fear of missing out, loneliness, and self-compassion were assessed pre- and post-intervention. Psychological distress, loneliness, and informal meditation practice were also assessed daily. Practice time and frequency were assessed using app data. Results support feasibility of the study design, success of the manipulation, and acceptability of the intervention. Pooled across conditions, participants exhibited pre-post improvements on all outcomes (absolute value of ds = 0.12-0.63, p ≤ .010) and trajectories of improvement on daily distress and loneliness (p ≤ .010). No between-group differences were observed on changes in pre-post or daily measures (ps = .158-.729). When total amount of meditation practice per day is held constant, the distribution of practice may not influence outcomes for distressed beginners. Although only a first test of dose frequency effects, findings support flexibility in the distribution of meditation throughout the day, which may increase accessibility. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Association Between Parental Problematic Internet Use and Adolescent Depression.

We examined the association between parental problematic internet use (PIU) and adolescent depression and whether this association varied based on internet-related rules. We recruited adolescents ages 13-18 and their parent using national Qualtrics panels (N = 4592 dyads). Measures included the Problematic and Risky Internet Use Screening Scale (PRIUSS-3), the Patient Health Questionnaire (PHQ-9), and the internet specific parenting practice scale (ISPPS). Parental PIU was associated with symptoms of adolescent depression, including suicidal ideation, even when controlling for adolescent PIU (ß = 0.35, 95% CI [0.32, 0.38]). Time-related rules moderated this association in a non-linear way where the association was strongest when time-related rules were unclear / mid-range. The moderation effect was linear for content-related rules, where stricter rules were associated with a weaker association between parent PIU and adolescent depression. Results support clinicians assessing parent PIU when treating depressed adolescents and engaging parents in monitoring their adolescents' internet use content.

Longitudinal increases in mindfulness practice quality are associated with changes in psychological outcomes and not vice versa - a brief report.

With research on mindfulness increasing exponentially, it is important to clarify factors that may influence the success of this approach. We examined the construct of mindfulness meditation practice quality using longitudinal data drawn from a randomized controlled trial testing low-dose mindfulness practices with novice mindfulness practitioners from the general population (N = 48). Results suggest that increases in mindfulness practice quality over time are associated with improvements in psychological outcomes (anxiety, stress, and mindfulness), but not vice versa. Findings join previous research supporting the notion that mindfulness practice quality is an important element of mindfulness training in higher-dose programs as well as low-dose and self-help mindfulness programs and practices. Therefore, this research contributes to finding further support of the importance of mindfulness practice quality as a cause of improvement in psychological distress. This needs to be explored further in future research.

Threat alert: The effect of outliers on the alliance-outcome correlation.

Meta-analyses have established the alliance as the most robust predictor of outcome in psychotherapy. A growing number of studies have evaluated potential threats to the conclusion that alliance is a causal factor in psychotherapy. One potential threat that has not been systematically examined is the possibility that the alliance-outcome association is driven by low alliance outliers. We examined the influence of removing low alliance outliers on the alliance-outcome association using data drawn from two large-scale, naturalistic psychotherapy data sets (Ns = 1,052; 11,029). These data sets differed in setting (university counseling center, community mental health center), country (United States and Canada), alliance measure (four-item Working Alliance Inventory Short Form Revised, 10-item Session Rating Scale), and outcome measure (Counseling Center Assessment of Psychological Symptoms-34, Outcome Questionnaire-45). We examined the impact of treating outliers in five different ways: retaining them, removing values three or two standard deviations from the mean, and winsorizing values three or two standard deviations from the mean. We also examined the effect of outliers after disaggregating alliance ratings into within-therapist and between-therapist components. The alliance-outcome correlation and the proportion of variance in posttest outcomes explained by alliance when controlling for pretest outcomes were similar regardless of how low alliance outliers were treated (change in r ≤ .04, change in R² ≤ 1%). Results from the disaggregation were similar. Thus, it appears that the alliance-outcome association is not an artifact of the influence of low alliance outliers. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Meditation, mindfulness, and acceptance methods in psychotherapy: A systematic review.

OBJECTIVE: : Meditation, mindfulness, and acceptance (MMA) methods have gained popularity among psychotherapists and the public. The impact of these strategies as implemented in treatment packages (e.g., mindfulness-based interventions) has been studied extensively. However, the impact of integrating MMA strategies into individual psychotherapy has not been established. METHODS: : To address this gap in the literature, we conducted a systematic review of empirical (quantitative or qualitative) studies investigating the use of MMA methods during individual psychotherapy in adult samples. RESULTS: : After reviewing 4671 references, only three studies (one quantitative, two qualitative) met our inclusion criteria. The one experimental study (n = 162) provided no evidence that including mindfulness meditation improved outcomes beyond other active interventions (ds = 0.00-0.12 for effects on general clinical symptoms vs. progressive muscle relaxation and treatment-as-usual, respectively). Two qualitative studies (n = 5 therapist-patient dyads in one study, n = 9 adults in one study) provided preliminary evidence that patients may find MMA methods helpful. CONCLUSIONS: : We highlight future directions for work in this area, including clarifying optimal dosage and timing, identifying patient characteristics associated with beneficial or adverse effects, investigating cultural adaptations, and clarifying how MMA constructs can be measured within individual psychotherapy. We conclude by highlighting training recommendations and therapeutic practices.

Prevalence of harm in mindfulness-based stress reduction.

BACKGROUND: Mindfulness meditation has become a common method for reducing stress, stress-related psychopathology and some physical symptoms. As mindfulness programs become ubiquitous, concerns have been raised about their unknown potential for harm. We estimate multiple indices of harm following Mindfulness-Based Stress Reduction (MBSR) on two primary outcomes: global psychological and physical symptoms. In secondary analyses, we estimate multiple indices of harm on anxiety and depressive symptoms, discomfort in interpersonal relations, paranoid ideation and psychoticism. METHODS: Intent-to-treat analyses with multiple imputations for missing data were used on pre- and post-test data from a large, observational dataset (n = 2155) of community health clinic MBSR classes and from MBSR (n = 156) and waitlist control (n = 118) participants from three randomized controlled trials conducted contemporaneous to community classes in the same city by the same health clinic MBSR teachers. We estimate the change in symptoms, proportion of participants with increased symptoms, proportion of participants reporting greater than a 35% increase in symptoms, and for global psychological symptoms, clinically significant harm. RESULTS: We find no evidence that MBSR leads to higher rates of harm relative to waitlist control on any primary or secondary outcome. On many indices of harm across multiple outcomes, community MBSR was significantly preventative of harm. CONCLUSIONS: Engagement in MBSR is not predictive of increased rates of harm relative to no treatment. Rather, MBSR may be protective against multiple indices of harm. Research characterizing the relatively small proportion of MBSR participants that experience harm remains important.

E-Mental Health for People with Personality Disorders: A Systematic Review.

PURPOSE OF REVIEW: Provision of mental health services through digital technologies (e-mental health) can potentially expand access to treatments for personality disorders (PDs). We evaluated studies on e-mental health for PDs published over the last 3 years (2019-2022). RECENT FINDINGS: Studies published in English that used e-mental health to treat people with PDs or PD-related symptoms were identified. We identified 19 studies, including four randomized controlled trials and one meta-analysis. Most interventions were based on Dialectical Behavior Therapy and delivered through smartphone applications for adults with Borderline Personality Disorder [BPD] or related symptoms. User experiences of the interventions were generally positive. Evidence for efficacy was limited. The current literature on e-mental health for PDs is limited in scope. Research in understudied populations and randomized controlled trials designed to establish efficacy are warranted. It is not yet clear whether e-mental health may be helpful for the treatment of PDs.

Personalized Prediction of Response to Smartphone-Delivered Meditation Training: Randomized Controlled Trial.

BACKGROUND: Meditation apps have surged in popularity in recent years, with an increasing number of individuals turning to these apps to cope with stress, including during the COVID-19 pandemic. Meditation apps are the most commonly used mental health apps for depression and anxiety. However, little is known about who is well suited to these apps. OBJECTIVE: This study aimed to develop and test a data-driven algorithm to predict which individuals are most likely to benefit from app-based meditation training. METHODS: Using randomized controlled trial data comparing a 4-week meditation app (Healthy Minds Program [HMP]) with an assessment-only control condition in school system employees (n=662), we developed an algorithm to predict who is most likely to benefit from HMP. Baseline clinical and demographic characteristics were submitted to a machine learning model to develop a "Personalized Advantage Index" (PAI) reflecting an individual's expected reduction in distress (primary outcome) from HMP versus control. RESULTS: A significant group × PAI interaction emerged (t658=3.30; P=.001), indicating that PAI scores moderated group differences in outcomes. A regression model that included repetitive negative thinking as the sole baseline predictor performed comparably well. Finally, we demonstrate the translation of a predictive model into personalized recommendations of expected benefit. CONCLUSIONS: Overall, the results revealed the potential of a data-driven algorithm to inform which individuals are most likely to benefit from a meditation app. Such an algorithm could be used to objectively communicate expected benefits to individuals, allowing them to make more informed decisions about whether a meditation app is appropriate for them. TRIAL REGISTRATION: ClinicalTrials.gov NCT04426318; https://clinicaltrials.gov/ct2/show/NCT04426318.

A Randomized Controlled Trial of a Smartphone-Based Well-Being Training in Public School System Employees During the COVID-19 Pandemic.

While the extraordinary pressures of the COVID-19 pandemic on student mental health have received considerable attention, less attention has been placed on educator well-being. School system employees play a vital role in society, and teacher levels of well-being are associated with the educational outcomes of young people. We extend extant research on the prevalence and correlates of educator distress during the pandemic by reporting on a pragmatic randomized wait-list controlled trial (N=662; 64% teachers) of an innovative mental health promotion strategy implemented during the pandemic; a free four-week smartphone-based meditation app designed to train key constituents of well-being (Healthy Minds Program; HMP). Following our preregistered analysis plan and consistent with hypotheses, assignment to the HMP predicted significantly larger reductions in psychological distress, our primary outcome, at post-intervention (Cohen's d=-0.52, 95% confidence interval [-0.68, -0.37], p<.001) and at the three-month follow-up (d=-0.33 [-0.48, -0.18], p<.001). Also consistent with hypotheses, we observed similar indications of immediate and sustained benefit following the HMP on all six preregistered secondary outcomes selected to tap skills targeted in the app (e.g., perseverative thinking, social connection, well-being; absolute ds=0.19-0.42, all ps<.031 corrected except mindful action at follow-up). We found no evidence for elevated adverse events and the HMP was equally effective among participants with elevated baseline anxiety and depressive symptoms. These data suggest that the HMP may be an effective and scalable approach to supporting the mental health and well-being of teachers and other school system employees, with implications for employee retention and performance, and student outcomes.

Mindfulness-based interventions among people of color: A systematic review and meta-analysis.

Objective In the United States, people of color (POC) are disproportionately affected by various sources of stress and prevalent mental and physical health issues that may benefit from Mindfulness-based Interventions (MBIs). However, effects of MBIs for POC are unclear. This meta-analysis examines the efficacy of MBIs through randomized controlled trials (RCTs) that included predominately POC (≥75% of the sample). Method: Random effects models were used to synthesize effect sizes. A total of 24 RCT samples were analyzed. Results: Samples were on average 94.4% POC and predominantly from low-income backgrounds (total N = 2,156). At post-treatment, MBIs yielded small but statistically superior outcomes to active controls (Hedges' g = 0.11) and inactive controls (g = 0.26). Compared to active controls, MBIs' effects on well-being were smaller than their effects on other outcome types. Compared to inactive controls, MBIs that focused on non-clinical populations and had higher proportion of POC had larger effect sizes. Attrition rates of MBIs did not differ from other active conditions in outpatient settings. Conclusion: Findings provide modest, preliminary empirical support for MBIs among POC. We discuss main findings, limitations, and implications for future MBI research for health promotion among POC.

Prevalence of meditation-related adverse effects in a population-based sample in the United States.

OBJECTIVE: Meditation practice and meditation-based psychotherapies have become increasingly popular. Although psychological benefits associated with meditation are well-documented, potential risks are unclear. METHOD: We conducted a population-based survey to evaluate the occurrence of a broad range of meditation-related adverse effects (MRAE). RESULTS: Nine hundred and fifty three participants completed our screening survey, 470 endorsed lifetime exposure to meditation practice, and 434 completed a follow-up survey assessing MRAE (92.3% response rate). A higher proportion than hypothesized reported occurrence of MRAE (general item = 32.3%, 1+ specific item = 50.0%) and MRAE duration ≥1 month (10.4%). Anxiety, traumatic re-experiencing, and emotional sensitivity were the most common MRAE. Some degree of functional impairment was reported by 10.6% of participants, with impairment lasting ≥1 month for 1.2%. Childhood adversity was associated with elevated risk for MRAE. Participants reporting MRAE were equally glad to have practiced meditation as those not reporting MRAE. Additional correlates of MRAE were identified in exploratory analyses. CONCLUSION: MRAE are common, even in a sample with relatively modest amounts of experience. Identifying individuals at elevated risk for MRAE, being transparent and realistic about the possible range of effects, and increasing trauma-sensitivity are warranted to maximize benefits and minimize risks of meditation.

Postdeployment Treatment Gap: Symptoms and Treatment Utilization Among Returning National Guard Soldiers.

This study evaluated rates of psychiatric symptoms and mental health treatment utilization among National Guard service members during the post-deployment period. National Guard service members (n=311) completed surveys assessing demographics, beliefs about mental health treatment, emotion regulation strategies, and psychiatric symptoms. Mental health treatment utilization was assessed at 6-month follow-up. Post-deployment, 41.2% of the sample had psychiatric symptoms above the clinical cut-off for at least one symptom measure. This proportion increased at follow-up (53.5%). Alcohol use disorder (AUD) symptoms showed the largest increase (d=0.66), although symptoms of depression and posttraumatic stress disorder (PTSD) also showed small magnitude increases. Among those with elevated symptoms post-deployment (n=128), only 27.8% received mental health treatment at follow-up. Severity of depression, anxiety, and PTSD were higher among those who utilized treatment. The post-deployment period is a vulnerable one. Continued efforts to understand and address barriers to treatment for this population are warranted.

Mindfulness-based interventions for substance use disorders.

BACKGROUND: Substance use disorders (SUDs) are highly prevalent and associated with a substantial public health burden. Although evidence-based interventions exist for treating SUDs, many individuals remain symptomatic despite treatment, and relapse is common.Mindfulness-based interventions (MBIs) have been examined for the treatment of SUDs, but available evidence is mixed. OBJECTIVES: To determine the effects of MBIs for SUDs in terms of substance use outcomes, craving and adverse events compared to standard care, further psychotherapeutic, psychosocial or pharmacological interventions, or instructions, waiting list and no treatment. SEARCH METHODS: We searched the following databases up to April 2021: Cochrane Drugs and Alcohol Specialised Register, CENTRAL, PubMed, Embase, Web of Science, CINAHL and PsycINFO. We searched two trial registries and checked the reference lists of included studies for relevant randomized controlled trials (RCTs). SELECTION CRITERIA: RCTs testing a MBI versus no treatment or another treatment in individuals with SUDs. SUDs included alcohol and/or drug use disorders but excluded tobacco use disorders. MBIs were defined as interventions including training in mindfulness meditation with repeated meditation practice. Studies in which SUDs were formally diagnosed as well as those merely demonstrating elevated SUD risk were eligible. DATA COLLECTION AND ANALYSIS: We used standard methodological procedures expected by Cochrane. MAIN RESULTS: Forty RCTs met our inclusion criteria, with 35 RCTs involving 2825 participants eligible for meta-analysis. All studies were at high risk of performance bias and most were at high risk of detection bias. Mindfulness-based interventions (MBIs) versus no treatment Twenty-four RCTs included a comparison between MBI and no treatment. The evidence was uncertain about the effects of MBIs relative to no treatment on all primary outcomes: continuous abstinence rate (post: risk ratio (RR) = 0.96, 95% CI 0.44 to 2.14, 1 RCT, 112 participants; follow-up: RR = 1.04, 95% CI 0.54 to 2.01, 1 RCT, 112 participants); percentage of days with substance use (post-treatment: standardized mean difference (SMD) = 0.05, 95% CI -0.37 to 0.47, 4 RCTs, 248 participants; follow-up: SMD = 0.21, 95% CI -0.12 to 0.54, 3 RCTs, 167 participants); and consumed amount (post-treatment: SMD = 0.10, 95% CI -0.31 to 0.52, 3 RCTs, 221 participants; follow-up: SMD = 0.33, 95% CI 0.00 to 0.66, 2 RCTs, 142 participants). Evidence was uncertain for craving intensity and serious adverse events. Analysis of treatment acceptability indicated MBIs result in little to no increase in study attrition relative to no treatment (RR = 1.04, 95% CI 0.77 to 1.40, 21 RCTs, 1087 participants). Certainty of evidence for all other outcomes was very low due to imprecision, risk of bias, and/or inconsistency. Data were unavailable to evaluate adverse events. Mindfulness-based interventions (MBIs) versus other treatments (standard of care, cognitive behavioral therapy, psychoeducation, support group, physical exercise, medication) Nineteen RCTs included a comparison between MBI and another treatment. The evidence was very uncertain about the effects of MBIs relative to other treatments on continuous abstinence rate at post-treatment (RR = 0.80, 95% CI 0.45 to 1.44, 1 RCT, 286 participants) and follow-up (RR = 0.57, 95% CI 0.28 to 1.16, 1 RCT, 286 participants), and on consumed amount at post-treatment (SMD = -0.42, 95% CI -1.23 to 0.39, 1 RCT, 25 participants) due to imprecision and risk of bias. The evidence suggests that MBIs reduce percentage of days with substance use slightly relative to other treatments at post-treatment (SMD = -0.21, 95% CI -0.45 to 0.03, 5 RCTs, 523 participants) and follow-up (SMD = -0.39, 95% CI -0.96 to 0.17, 3 RCTs, 409 participants). The evidence was very uncertain about the effects of MBIs relative to other treatments on craving intensity due to imprecision and inconsistency. Analysis of treatment acceptability indicated MBIs result in little to no increase in attrition relative to other treatments (RR = 1.06, 95% CI 0.89 to 1.26, 14 RCTs, 1531 participants). Data were unavailable to evaluate adverse events. AUTHORS' CONCLUSIONS: In comparison with no treatment, the evidence is uncertain regarding the impact of MBIs on SUD-related outcomes. MBIs result in little to no higher attrition than no treatment. In comparison with other treatments, MBIs may slightly reduce days with substance use at post-treatment and follow-up (4 to 10 months). The evidence is uncertain regarding the impact of MBIs relative to other treatments on abstinence, consumed substance amount, or craving. MBIs result in little to no higher attrition than other treatments. Few studies reported adverse events.

Psychiatric symptoms, risk, and protective factors among university students in quarantine during the COVID-19 pandemic in China.

BACKGROUND: The COVID-19 pandemic has made unprecedented impact on the psychological health of university students, a population vulnerable to distress and mental health disorders. This study investigated psychiatric symptoms (anxiety, depression, and traumatic stress) during state-enforced quarantine among university students in China (N = 1912) through a cross-sectional survey during March and April 2020. RESULTS: Psychiatric symptoms were alarmingly prevalent: 67.05% reported traumatic stress, 46.55% had depressive symptoms, and 34.73% reported anxiety symptoms. Further, 19.56% endorsed suicidal ideation. We explored risk and protective factors of psychological health, including demographic variables, two known protective factors for mental health (mindfulness, perceived social support), four COVID-specific factors (COVID-19 related efficacy, perceived COVID-19 threat, perceived COVID-19 societal stigma, COVID-19 prosocial behavior) and screen media usage. Across symptom domains, mindfulness was associated with lower symptom severity, while COVID-19 related financial stress, perceived COVID-19 societal stigma, and perceived COVID-19 threat were associated with higher symptom severity. COVID-19 threat and COVID-19 stigma showed main and interactive effects in predicting all mental health outcomes, with their combination associated with highest symptom severity. Screen media device usage was positively associated with depression. Female gender and COVID-19 prosocial behavior were associated with higher anxiety, while COVID-19 self-efficacy associated with lower anxiety symptoms. CONCLUSIONS: Findings suggest high need for psychological health promotion among university students during the COVID-19 pandemic and inform an ecological perspective on the detrimental role of stigma during an emerging infectious disease outbreak. Interventions targeting multi-level factors, such as promoting mindfulness and social support at individual and interpersonal levels while reducing public stigma about COVID-19, may be particularly promising. Attending to the needs of disadvantaged groups including those financially impacted by COVID-19 is needed.

Data Missing Not at Random in Mobile Health Research: Assessment of the Problem and a Case for Sensitivity Analyses.

BACKGROUND: Missing data are common in mobile health (mHealth) research. There has been little systematic investigation of how missingness is handled statistically in mHealth randomized controlled trials (RCTs). Although some missing data patterns (ie, missing at random [MAR]) may be adequately addressed using modern missing data methods such as multiple imputation and maximum likelihood techniques, these methods do not address bias when data are missing not at random (MNAR). It is typically not possible to determine whether the missing data are MAR. However, higher attrition in active (ie, intervention) versus passive (ie, waitlist or no treatment) conditions in mHealth RCTs raise a strong likelihood of MNAR, such as if active participants who benefit less from the intervention are more likely to drop out. OBJECTIVE: This study aims to systematically evaluate differential attrition and methods used for handling missingness in a sample of mHealth RCTs comparing active and passive control conditions. We also aim to illustrate a modern model-based sensitivity analysis and a simpler fixed-value replacement approach that can be used to evaluate the influence of MNAR. METHODS: We reanalyzed attrition rates and predictors of differential attrition in a sample of 36 mHealth RCTs drawn from a recent meta-analysis of smartphone-based mental health interventions. We systematically evaluated the design features related to missingness and its handling. Data from a recent mHealth RCT were used to illustrate 2 sensitivity analysis approaches (pattern-mixture model and fixed-value replacement approach). RESULTS: Attrition in active conditions was, on average, roughly twice that of passive controls. Differential attrition was higher in larger studies and was associated with the use of MAR-based multiple imputation or maximum likelihood methods. Half of the studies (18/36, 50%) used these modern missing data techniques. None of the 36 mHealth RCTs reviewed conducted a sensitivity analysis to evaluate the possible consequences of data MNAR. A pattern-mixture model and fixed-value replacement sensitivity analysis approaches were introduced. Results from a recent mHealth RCT were shown to be robust to missing data, reflecting worse outcomes in missing versus nonmissing scores in some but not all scenarios. A review of such scenarios helps to qualify the observations of significant treatment effects. CONCLUSIONS: MNAR data because of differential attrition are likely in mHealth RCTs using passive controls. Sensitivity analyses are recommended to allow researchers to assess the potential impact of MNAR on trial results.

Brief breath awareness training yields poorer working memory performance in the context of acute stress.

Mindfulness-based interventions that span multiple sessions over time appear to confer psychological benefits. However, the effects of brief periods of mindfulness meditation training are less clear, particularly on measures of cognitive functioning. This study assessed whether brief mindfulness practice (breath awareness) or training in two other contemplative practices - loving-kindness and gratitude - differentially impact working memory performance following acute physiological stress relative to an attentional control. Participants (n = 162) were randomly assigned to one of four training groups and completed the automated Operation Span (OSPAN) task pre-training and again after undergoing the cold pressor task. Three of the four groups improved in OSPAN performance, with loving-kindness, gratitude, and attentional control conditions showing increases in OSPAN relative to breath awareness. Changes in OSPAN were not correlated with changes in positive or negative affect. It appears that brief breath awareness training may not effectively buffer against acute stress in this predominantly meditation naïve sample and may in fact impair subsequent cognitive performance relative to a control or other contemplative practices. A granular approach is warranted to understand potentially distinct and contextually variable effects of different contemplative practices. Implications are discussed in light of the stress buffering hypothesis and Monitor and Acceptance Theory.Trial registration: ClinicalTrials.gov identifier: NCT02214264.

Can a computer detect interpersonal skills? Using machine learning to scale up the Facilitative Interpersonal Skills task.

Objective: Therapist interpersonal skills are foundational to psychotherapy. However, assessment is labor intensive and infrequent. This study evaluated if machine learning (ML) tools can automatically assess therapist interpersonal skills. Method: Data were drawn from a previous study in which 164 undergraduate students (i.e., not clinical trainees) completed the Facilitative Interpersonal Skills (FIS) task. This task involves responding to video vignettes depicting interpersonally challenging moments in psychotherapy. Trained raters scored the responses. We used an elastic net model on top of a term frequency-inverse document frequency representation to predict FIS scores. Results: Models predicted FIS total and item-level scores above chance (rhos = .27-.53, ps < .001), achieving 31-60% of human reliability. Models explained 13-24% of the variance in FIS total and item-level scores on a held out set of data (R2), with the exception of the two items most reliant on vocal cues (verbal fluency, emotional expression), for which models explained ≤1% of variance. Conclusion: ML may be a promising approach for automating assessment of constructs like interpersonal skill previously coded by humans. ML may perform best when the standardized stimuli limit the "space" of potential responses (vs. naturalistic psychotherapy) and when models have access to the same data available to raters (i.e., transcripts).

Post-acute psychological effects of classical serotonergic psychedelics: a systematic review and meta-analysis.

BACKGROUND: Scientific interest in the therapeutic effects of classical psychedelics has increased in the past two decades. The psychological effects of these substances outside the period of acute intoxication have not been fully characterized. This study aimed to: (1) quantify the effects of psilocybin, ayahuasca, and lysergic acid diethylamide (LSD) on psychological outcomes in the post-acute period; (2) test moderators of these effects; and (3) evaluate adverse effects and risk of bias. METHODS: We conducted a systematic review and meta-analysis of experimental studies (single-group pre-post or randomized controlled trials) that involved administration of psilocybin, ayahuasca, or LSD to clinical or non-clinical samples and assessed psychological outcomes ⩾24 h post-administration. Effects were summarized by study design, timepoint, and outcome domain. RESULTS: A total of 34 studies (24 unique samples, n = 549, mean longest follow-up = 55.34 weeks) were included. Classical psychedelics showed significant within-group pre-post and between-group placebo-controlled effects on a range of outcomes including targeted symptoms within psychiatric samples, negative and positive affect-related measures, social outcomes, and existential/spiritual outcomes, with large between-group effect in these domains (Hedges' gs = 0.84 to 1.08). Moderator tests suggest some effects may be larger in clinical samples. Evidence of effects on big five personality traits and mindfulness was weak. There was no evidence of post-acute adverse effects. CONCLUSIONS: High risk of bias in several domains, heterogeneity across studies, and indications of publication bias for some models highlight the need for careful, large-scale, placebo-controlled randomized trials.

Does practice quality mediate the relationship between practice time and outcome in mindfulness-based stress reduction?

Interventions based on mindfulness meditation are increasingly common and evidence exists supporting their use. However, questions remain regarding treatment mechanisms accounting for beneficial effects. The current study examined 1 candidate mechanism-mindfulness practice quality-as a mediator of the link between practice time and outcome within mindfulness-based stress reduction (MBSR). Participants (n = 96) completed measures of mindfulness and psychological symptoms at baseline and posttreatment. A weekly questionnaire assessed practice time and quality over the 8 weeks of MBSR. Multilevel models accounted for nesting within participants, MBSR groups, and instructors. Results generally supported the reliability and validity of a weekly single-item practice quality measure. Greater practice time was associated with improved practice quality (r = .48). Increases in practice quality predicted improvements in self-report mindfulness and psychological symptoms (ßs = .35, .30, and -.19, ps < .05), but not behavioral mindfulness (ß = -.02, p = .879). In multilevel mediation models, improved practice quality mediated the link between practice time and changes in self-report mindfulness, suggesting improved practice quality functions as a mechanism linking practice time and outcome in MBSR. Future research evaluating practice quality in clinical samples, in tandem with intensive sampling paradigms (e.g., experience sampling) and objective (behavioral, physiological) outcomes may be warranted. (PsycINFO Database Record (c) 2019 APA, all rights reserved).