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Record W4383815381 · doi:10.1038/s44220-023-00081-5

Systematic review and individual participant data meta-analysis of randomized controlled trials assessing mindfulness-based programs for mental health promotion

2023· article· en· W4383815381 on OpenAlex
Julieta Galante, Claire Friedrich, Napaporn Aeamla-Or, M.A.D.W. de Jong, Bruce Barrett, Susan M. Bögels, Jan K. Buitelaar, Mary Checovich, Michael Christopher, Richard J. Davidson, Antonia Errázuriz, Simon B. Goldberg, Corina U. Greven, Matthew J. Hirshberg, Shu-Ling Huang, Matthew Hunsinger, Yoon‐Suk Hwang, Peter B. Jones, Oleg N. Medvedev, Melissa A. Rosenkranz, Melanie P. J. Schellekens, Nienke M. Siebelink, Nirbhay N. Singh, Anne Speckens, Feng‐Cheng Tang, Lianne Tomfohr‐Madsen, Tim Dalgleish, Ian R. White

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueNature Mental Health · 2023
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsUniversity of British Columbia
FundersNational Center for Research ResourcesNational Institute of Mental HealthNIHR Cambridge Biomedical Research CentreUniversity of PhayaoRadboud Universitair Medisch CentrumKWF KankerbestrijdingNational Institute of Child Health and Human DevelopmentAlberta Children's Hospital FoundationWaisman CenterNational Institute for Health and Care ResearchHealth Promotion Administration, Ministry of Health and WelfareWellcome TrustHope for Depression Research FoundationNational Center for Complementary and Integrative HealthMedical Research CouncilFetzer InstituteDepartment of Health and Social CareNational Center for Complementary and Alternative MedicineChildren's Hospital FoundationJohn Templeton FoundationUniversity of CambridgeNational Institutes of HealthU.S. Department of Health and Human Services
KeywordsMental healthRandomized controlled trialMeta-analysisMindfulnessAnxietyDistressMedicineClinical trialClinical psychologyPsychologyPsychiatry

Abstract

fetched live from OpenAlex

Introduction: Mindfulness-based programmes (MBPs) are widely used to prevent mental ill-health that is becoming the leading global cause of morbidity. Evidence suggests beneficial average effects but wide variability. We aimed to confirm the effect of MBPs on psychological distress, and to understand whether and how baseline distress, gender, age, education, and dispositional mindfulness modify the effect of MBPs on distress among adults in non-clinical settings. Methods: We conducted a pre-registered systematic review and individual participant data (IPD) meta-analysis (PROSPERO CRD42020200117). Thirteen databases were searched in December 2020 for randomised controlled trials satisfying a quality threshold and comparing in-person, expert-defined MBPs in non-clinical settings with passive control groups. Two researchers independently selected, extracted, and appraised trials using the revised Cochrane Risk-of-Bias Tool (RoB2). Anonymised IPD of eligible trials were sought from collaborating authors. The primary outcome was psychological distress (unpleasant mental or emotional experiences including anxiety and depression) at 1 to 6 months after programme completion. Data were checked and imputed if missing. Pairwise, random-effects, two-stage IPD meta-analyses were conducted. Effect modification analyses followed a within-studies approach. Public and professional stakeholders were involved in the planning, conduct and dissemination of this study. Results: Fifteen trials were eligible, 13 trialists shared IPD (2,371 participants representing 8 countries, median age 34 years-old, 71% women, moderately distressed on average, 20% missing outcome data). In comparison with passive control groups, MBPs reduced average distress between one- and six-months post-intervention with a small to moderate effect size (standardised mean difference (SMD) -0.32; 95% confidence interval (CI) -0.41 to -0.24; p-value < 0.001; 95% prediction interval (PI) -0.41 to -0.24 (no heterogeneity)). Results were robust to sensitivity analyses, and similar for the other psychological distress time point ranges. Confidence in the primary outcome result is high. We found no clear indication that this effect is modified by baseline psychological distress, gender, age, education level, or dispositional mindfulness. Conclusions: Group-based teacher-led MBPs generally reduce psychological distress among community adults who volunteer to receive this type of intervention. More research is needed to identify sources of variability in outcomes at an individual level.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.045
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.930
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0450.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0140.003
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.356
GPT teacher head0.523
Teacher spread0.167 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it