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The Role of Mindfulness and Loving-Kindness Meditation in Cultivating Self-Compassion and Other-Focused Concern in Health Care Professionals
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“Prior studies have supported the effectiveness of mindfulness-based interventions in reducing occupational stress, burnout, anxiety and depression, as well as in improving self-compassion and the spiritual well-being of caregivers [22–26].”
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“Self-compassion is associated with several aspects of positive mental health, and as a trainable quality, it seems to be useful as a protective factor for health professionals at risk of developing job-related stress [28–30].”
From Burnout Subtypes and Absence of Self-Compassion in Primary Healthcare Professionals: A Cross-Sectional Study (2016) · cites this paper as [28]
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Metadata
- Authors
- Boellinghaus, I., Jones, F. W., & Hutton, J.
- Affiliations
- Canterbury Christ Church University (GB)
- South London and Maudsley NHS Foundation Trust (GB)
- Corresponding author
- Jones, Fergal W.
- ORCID
- Jones, Fergal W.
- Venue
- Mindfulness
- Published
- 2012-10-21
- Volume
- 5
- Issue
- 2
- Pages
- 129-138
- ISSN
- 1868-8527 (ISSN-L)
- 1868-8535
- OpenAlex
- W1977618811
- Cited by
- 250
- References
- 87
- Citations by year
- 2026: 8 · 2025: 21 · 2024: 27 · 2023: 25 · 2022: 24 · 2021: 23 · 2020: 22 · 2019: 23 · 2018: 19 · 2017: 16 · 2016: 23 · 2015: 11 · 2014: 6 · 2013: 1
- FWCI
- 6.53
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Mindfulness (publishedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
- Health Sciences › Medicine › Psychiatry and Mental health › Empathy and Medical Education
- Social Sciences › Psychology › Social Psychology › Psychological Well-being and Life Satisfaction
- Keywords
- mindfulness-based interventions, loving-kindness meditation, self-compassion, healthcare workers, clinicians, burnout, therapist well-being, professional-client relationship, ceiling effect
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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