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Record W2898770887 · doi:10.21926/obm.icm.1804027

Integrating Mindfulness and Physical Exercises for Medical Students: A Systematic Review

2018· review· en· W2898770887 on OpenAlexaboutno aff
Marcus A. Henning, Tae Joo Park, Fiona Moir, Christian U. Krägeloh, Christopher Mysko, Jennifer Hobson, Craig S. Webster

Bibliographic record

VenueOBM Integrative and Complementary Medicine · 2018
Typereview
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsMindfulnessSystematic reviewProtocol (science)PsychologySalientMedical educationIntervention (counseling)Applied psychologyAlternative medicineEmpirical researchMEDLINEMedicineClinical psychologyComputer sciencePsychiatryPolitical scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Background: The purpose of this systematic review was to appraise the empirical evidence pertaining to medical students and the integration of mindfulness and physical exercise regimens. Methods: A systematic review was undertaken. Five databases were used to survey the salient literature. Results: The initial search identified 353 potentially relevant articles of which 17 articles were considered for the final review. The findings indicated that the research was mainly conducted in the USA with some research originating from Europe, Canada, Jamaica, and India. In addition, a range of research designs were applied to measure or discuss the efficacy of the integrated intervention. Four key categories captured the essence of the results of our review, namely: (1) quality of evidence and research methods; (2) types of interventions; (3) measurement protocols; and (4) benefits of integrating mindfulness and physical exercises. Conclusions: This systematic review demonstrated that when mindfulness and physical exercises are integrated there are likely to be positive health outcomes for medical students. In the studies that yielded the highest level of evidence it was clear that this combination enhanced mental health, and reduced stress levels amongst students, and the benefits may assist with interpersonal development, such as greater empathetic levels and improved interpersonal responsivity.

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.

How this classification was reachedexpand

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.295
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.000

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 head0.083
GPT teacher head0.474
Teacher spread0.391 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2018
Admission routes1
Has abstractyes

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