Abdelhadi Nasra, Bluvstein Irit, Kigli-Shemesh Ronit, Melnikov Semyon
Department of Nursing Sciences, Steyer School of Health Professions, Gray Faculty of Medical and Health Science, Tel Aviv University, Israel.
Herczeg Institute on Aging, Tel Aviv University, Israel.
PLoS One. 2025 Aug 21;20(8):e0330524. doi: 10.1371/journal.pone.0330524. eCollection 2025.
Mindful 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.
This study aimed to translate and validate the Hebrew version of the BMSCS and assess its psychometric properties among Israeli nurses.
A 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.
EFA 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.
The 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.
正念自我关怀（MSC）将正念融入日常生活中，以提升身体、心理和情绪健康。由于护士工作压力大，常导致职业倦怠和同情疲劳，因此MSC对护士至关重要。简短正念自我关怀量表（BMSCS）旨在测量六个领域的MSC。然而，针对以色列护士的MSC研究有限，且BMSCS希伯来语版本尚未得到验证。
本研究旨在翻译并验证BMSCS希伯来语版本，并评估其在以色列护士中的心理测量特性。
采用横断面研究，通过便利抽样招募了845名护士。使用正向和反向翻译将BMSCS翻译成希伯来语。心理测量分析包括探索性和验证性因素分析（EFA和CFA）、项目区分度和内部一致性（Cronbach's α）。使用R软件进行数据分析。
采用Promax旋转的最大似然估计进行EFA，得到一个六因素模型，解释总方差的49%。排除两个低载荷项目（PC2和PC6）后，CFA结果证实模型拟合良好，拟合指数符合预定标准（例如，RMSEA = 0.049，CFI = 0.949）。总量表的Cronbach's α为0.87，各子量表的信度在0.70至0.89之间。子量表间的相关性支持了内部结构。
希伯来语BMSCS具有很强的心理测量特性，为评估以色列护士的MSC提供了一个可靠且结构合理的工具。该工具可指导干预措施以提升护士的健康状况，并为高压力医疗环境中的未来研究提供参考。
