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Record W4416791062 · doi:10.2196/70011

Web-Based Formal Versus Informal Mindfulness Programs for University Students With and Those Without Recent Self-Injury: Randomized Controlled Trial

2025· article· en· W4416791062 on OpenAlexaff
Julia Petrovic, Jessica Mettler, Bilun Naz Böke, Maria Rogers, Chloe A. Hamza, Elana Bloom, Lina Di Genova, Vera Romano, Nancy L. Heath

Bibliographic record

VenueJournal of Medical Internet Research · 2025
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsMcGill University Health CentreConcordia UniversityUniversity of TorontoCarleton UniversityMcGill University
Fundersnot available
KeywordsRandomized controlled trialMindfulnessValue (mathematics)Research designMEDLINE

Abstract

fetched live from OpenAlex

Background: Mindfulness-based programming (MBP) is increasingly being implemented within university settings to support students' mental health, and it typically includes the instruction of formal mindfulness (FM) and informal mindfulness (IM) activities. However, recent evidence suggests that university students with a history of nonsuicidal self-injury (NSSI) may experience challenges in response to FM (eg, physical or psychological discomfort), whereas the flexibility and brevity inherent in IM may be better tolerated. Objective: This randomized controlled trial compared web-based FM and IM programs to each other and to an inactive control condition in terms of (1) effectiveness and (2) acceptability as a function of NSSI history (NSSI or no NSSI) and time (1 week after the program or 1 month after the program). Indices of effectiveness included dispositional mindfulness, well-being, perceived stress, psychological need satisfaction, emotion regulation styles, and academic engagement. Methods: Participants were university students with (n=127) and those without (n=100) past-year NSSI engagement. All procedures were conducted online. Once informed consent was obtained and eligibility was confirmed, participants were randomly assigned to 1 of 3 conditions: FM program, IM program, or inactive control condition. One week before the FM and IM programs commenced, all participants completed a baseline survey assessing all indices of effectiveness. Participants assigned to the FM and IM conditions then attended hour-long mindfulness program group sessions once per week over 4 consecutive weeks, while those assigned to the inactive control condition did not complete any study tasks during this time. Mindfulness program sessions were hosted on the videoconference platform Webex. The same survey completed at baseline was completed again 1 week and 1 month following the intervention period, with added acceptability measures for those who took part in the FM and IM programs. Results: Overall, the results did not differ as a function of NSSI history. A series of 3-way analyses of covariance revealed that both the FM and IM programs were effective at improving dispositional mindfulness (P<.001; ηp2=0.07), nonjudging (P=.03; ηp2=0.04), describing (P=.007; ηp2=0.05), well-being (P=.04; ηp2=0.03), and psychological need satisfaction (P=.005; ηp2=0.05) immediately after the program, with these improvements sustained 1 month later. Neither program resulted in improved awareness, nonreacting, observing, stress, emotion regulation styles, or academic engagement (all P>.05). Moreover, 3-way ANOVAs revealed high acceptability of both the FM and IM programs, with a preference for IM immediately after the program (P=.03; ηp2=0.03). Conclusions: The findings of this study underscore the effectiveness and acceptability of the FM and IM programs to MBP in the university context, as well as the potential value of explicitly teaching and similarly emphasizing both FM and IM, an approach that may be optimally responsive to diverse needs and preferences among students.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.003
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0150.001

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 head0.057
GPT teacher head0.444
Teacher spread0.387 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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