Evidence map›Paper›PMID 40839655›Full record

ArticlePloS one2025

Psychometric properties of the Hebrew version of brief mindful self-care scale: A translation and validation study.

Nasra Abdelhadi, Irit Bluvstein, Ronit Kigli-Shemesh, Semyon Melnikov

Abstract readValidation Study
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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Nasra AbdelhadiDepartment of Nursing Sciences, Steyer School of Health Professions, Gray Faculty of Medical and Health Science, Tel Aviv University, Israel.
Irit BluvsteinDepartment of Nursing Sciences, Steyer School of Health Professions, Gray Faculty of Medical and Health Science, Tel Aviv University, Israel.
Ronit Kigli-ShemeshDepartment of Nursing Sciences, Steyer School of Health Professions, Gray Faculty of Medical and Health Science, Tel Aviv University, Israel.
Semyon MelnikovDepartment of Nursing Sciences, Steyer School of Health Professions, Gray Faculty of Medical and Health Science, Tel Aviv University, Israel.ORCID https://orcid.org/0000-0002-2545-8435

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMindful self-care (MSC) integrates mindfulness into daily routines to enhance physical, mental, and emotional well-being. MSC is vital for nurses due to the high-stress nature of their work, which often leads to burnout and compassion fatigue. The Brief Mindful Self-Care Scale (BMSCS) was developed to measure MSC across six domains. However, there is limited research on MSC in Israeli nurses, and no Hebrew version of the BMSCS has been validated.

objectivesThis study aimed to translate and validate the Hebrew version of the BMSCS and assess its psychometric properties among Israeli nurses.

methodsA cross-sectional study was conducted with 845 nurses recruited via a convenience sample. The BMSCS was translated into Hebrew using forward and backward translation. Psychometric analyses included exploratory and confirmatory factor analyses (EFA and CFA), item discrimination, and internal consistency (Cronbach's alpha). Data were analysed using R software.

resultsEFA using maximum likelihood estimation with Promax rotation revealed a six-factor solution accounting for 49% of the total variance. CFA results confirmed the model fit after excluding two low-loading items (PC2 and PC6), with goodness-of-fit indices meeting predefined criteria (e.g., RMSEA = 0.049, CFI = 0.949). The Cronbach's alpha for the total scale was 0.87, with subscale reliability ranging from 0.70 to 0.89. Subscale correlations supported the internal structure.

conclusionsThe Hebrew BMSCS demonstrated strong psychometric properties, providing a reliable and structurally sound tool for assessing MSC in Israeli nurses. This instrument can guide interventions to enhance nurses' well-being and inform future research in high-stress healthcare settings.

Indexed as

MindfulnessNursesPsychometricsSelf CareAdultBurnout, ProfessionalCross-Sectional StudiesFemaleHumansIsraelMaleMiddle AgedReproducibility of ResultsSurveys and QuestionnairesTranslations

Identifiers

PMID40839655
PMCPMC12370104

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