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Mindfulness training as an evidenced-based approach to reducing stress and promoting well-being among human services professionals

2008· article· en· W2168881239 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Health Promotion and Education · 2008
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsUniversity of ManitobaUniversity of Toronto
Fundersnot available
KeywordsMindfulnessBurnoutPsychological interventionHuman servicesMental healthAbsenteeismPsychologyClinical psychologyIntervention (counseling)InterimEmotional exhaustionStress managementNursingMedicinePsychiatrySocial psychology

Abstract

fetched live from OpenAlex

Abstract Two novel mindfulness-based interventions designed to be integrated either in academic or work settings to mitigate the effects of stress and promote well-being among human services professionals are described. Study 1 explored whether a brief mindfulness intervention was superior to a traditional relaxation intervention for nursing staff. Results demonstrated that both interventions significantly improved relaxation and life satisfaction, with mindfulness participants exhibiting a trend toward particular improvements in emotional exhaustion. In study 2, teacher trainees who participated in a Mindfulness- Based Wellness Education (MBWE) program as part of their academic training experienced significantly greater increases than controls in mindfulness, satisfaction with life, and teaching self-efficacy. We recognize that systemic factors need to be addressed for the long-term resolution of stress-related problems among human services professionals. In the interim, mindfulness-based interventions are proving to be an effective way to support these pivotal members of our society. Human services professionals are pivotal members of our society. They often work under duress and as a result, stress related health and mental health problems commonly lead to job burnout in this population (Maslach 2003). In addition to the negative physical and mental health outcomes associated with stress and burnout, there are also substantial financial costs to organizations as a result of decreased work performance and increased disability, absenteeism, and turnover (Palmer et al 2004; Statistics Canada 2007). Across human services professions, the causes and consequences of stress, as well as factors contributing to one's ability to cope with stress or to develop burnout, are well documented (e.g., for nurses, see Gelsema et al 2006; for social workers, see Seibert 2005; for teachers, see Montgomery & Rupp 2005). Theoretical models map out the factors contributing to, and the trajectory leading toward, outcomes such as burnout (e.g., Bakker & Demerouti 2007). However, the literature focusing on solutions to work-related stress and burnout is scant (Maslach 2003). This article outlines the development and evaluation of two mindfulness-based interventions for human services professionals. These programs are based on evidence of impressive benefits of Kabat- Zinn's (1990) mindfulness-based stress reduction (MBSR) program in clinical settings, burgeoning interest in applying this program in non-clinical settings, and our own mindfulness practices. After a brief overview of mindfulness and current research developments, we describe the results of two studies we conducted, one with nurses and one with teachers- in-training.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.719
Threshold uncertainty score0.555

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.075
GPT teacher head0.431
Teacher spread0.356 · 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