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Record W3128716535 · doi:10.1093/milmed/usab030

Mindfulness-based Therapeutic Sailing for Veterans With Psychiatric and Substance Use Disorders

2021· article· en· W3128716535 on OpenAlexaboutno aff
William R. Marchand, W Klinger, Ken Block, Scott VerMerris, Elena Nazarenko, Heather Curtis, Julie Newton, Tracy Herrmann, Brandon Yabko, Jose Lane

Bibliographic record

VenueMilitary Medicine · 2021
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsMindfulnessPsychiatryPsychological interventionIntervention (counseling)MedicineMental healthSubstance abuseClinical psychology

Abstract

fetched live from OpenAlex

INTRODUCTION: Complementary interventions have the potential to enhance treatment engagement and/or response among veterans with psychiatric disorders and/or substance use disorders (SUDs). Mindfulness-based therapeutic sailing (MBTS) is a novel three-session, complementary intervention, which combines nature exposure via recreational sailing and mindfulness training. It was developed specifically to augment both treatment response and engagement among veterans with psychiatric disorders or SUDs. The study reports a follow-up investigation of a version of MBTS modified based upon a previous initial pilot study. MATERIALS AND METHODS: This is an institutional review board-approved study of 25 veterans, 23 males and 2 females, who participated in MBTS along with a diagnosis-, gender-, and age-matched control group. All participants had at least one psychiatric disorder or SUD and most (92%) had two or more conditions, with the most common being any SUD (76%) and PTSD (72%). Instruments used to evaluate within-subjects pre- to post-intervention psychological changes were the Acceptance and Action Questionnaire II (AAQII), the Toronto Mindfulness Scale (TMS), and the Five Facet Mindfulness Questionnaire (FFMQ). The Physical Activity Enjoyment Scale (PACES) was administered to evaluate how much the participants enjoyed the intervention. Outcome measures were collected for 1-year pre-intervention and 1-year post-intervention for between-subject analyses. These were numbers of medical and psychiatric hospitalizations, emergency department visits, mental health (MH) and substance abuse treatment visits, and MH and substance abuse treatment failed appointments. Data analysis consisted of using paired, two-tailed t-tests on psychological instrument results, Poisson regression on discrete outcome measures, and chi-square test of independence on demographic factors. RESULTS: Within-subjects comparisons revealed significant mean pre- to post-intervention increases in AAQII (P = .04) and TMS scores (P = .009). The FFMQ scores increased but the change was nonsignificant (P = .12). The PACES scores were high for all sessions, indicating enjoyment of the intervention by participants. Although the coefficient was nonsignificant, Poisson regression uncovered reduction in substance abuse treatment visits post-intervention. There were no significant differences for the other variables. For demographic factors, the differences between intervention and control groups were not statistically significant. CONCLUSIONS: The MBTS is associated with increases in psychological flexibility (AAQII) and state mindfulness (TMS). The intervention was perceived as pleasurable by participants (PACES) and is potentially associated with decreased utilization of substance use treatment services. These results must be considered as preliminary; however, these finding corroborate results from a previous pilot study and indicate that MBTS holds promise as a complementary intervention that could result in enhanced treatment engagement and/or outcomes for the population studied. A randomized controlled trial of MBTS is warranted. Further, the model of a three-session intervention combining mindfulness training with nature exposure could be adapted for other types of nature exposure, such as hiking or snowshoeing or other complementary interventions including equine-assisted activities and therapies.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.714
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.036
GPT teacher head0.319
Teacher spread0.283 · 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 designOther design
Domainnot available
GenreEmpirical

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

Citations14
Published2021
Admission routes1
Has abstractyes

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