Faculty of Nursing, Jordan University of Science and Technology, Irbid, Jordan.
Postdoctoral Fellow in Nursing, Department of Medicine and Surgery, University of Milano-Bicocca, Milano, Italy.
PLoS One. 2023 Sep 20;18(9):e0291904. doi: 10.1371/journal.pone.0291904. eCollection 2023.
Self-care is a fundamental aspect of health and well-being for healthy individuals and those with chronic illnesses. However, the available self-care measurement instruments have limited support regarding their psychometric properties. Research about the validation of comprehensive, theory-based self-care tools in the Arabic language and culture is also limited. In addition, many self-care measurement tools are available only for people with chronic illnesses.
To examine the psychometric properties of the Arabic version of the Self-care Inventory (SCI) in the general adult population in Jordan.
This study was conducted using a cross-sectional design. Data collection was performed using a demographics questionnaire, and Arabic versions of the SCI, Self-care Self-Efficacy, and the Center for Epidemiologic Studies Depression Scale-revised. SPSS and AMOS were used to analyze the data. Data analysis was conducted by performing confirmatory factor analysis, measurement invariance, internal consistency, and bivariate correlations.
The results revealed that the SCI comprises three scales: self-care maintenance, self-care monitoring, and self-care management. The goodness of mode fit indices showed that the models of these scales fit the data well by meeting the following set a priori criteria: (RMSEA < .07, CFI > .95, and X2/df < 5). The factor loadings of the individual items of the SCI provided further evidence about the factor structure of the three scales. Regarding measurement invariance, the results indicated that partial invariance across participants' sex is assumed. The values of both Cronbach's α and composite reliability showed that the internal consistency of the SCI is supported. Cronbach's α of the self-care maintenance, self-care monitoring, and self-care management were .82, .86, and .83, respectively.
The psychometric properties of the Arabic version of the SCI demonstrate its validity and reliability as a robust assessment tool for measuring self-care in the general adult population.
自我护理是健康个体和慢性病患者的健康和幸福的基本方面。然而，可用的自我护理测量工具在心理测量学特性方面支持有限。关于在阿拉伯语和文化中验证全面、基于理论的自我护理工具的研究也很有限。此外，许多自我护理测量工具仅适用于慢性病患者。
检验阿拉伯版自我护理量表（SCI）在约旦普通成年人群中的心理测量特性。
本研究采用横断面设计。使用人口统计学问卷和阿拉伯文版的 SCI、自我护理自我效能感和修订后的流行病学研究中心抑郁量表进行数据收集。使用 SPSS 和 AMOS 分析数据。通过进行验证性因素分析、测量不变性、内部一致性和双变量相关性来分析数据。
结果表明，SCI 由三个量表组成：自我护理维持、自我护理监测和自我护理管理。模式拟合良好指数的结果表明，这些量表的模型通过满足以下事先设定的标准很好地拟合数据：（RMSEA <.07、CFI >.95 和 X2/df < 5）。SCI 各个项目的因子负荷为这三个量表的因子结构提供了进一步的证据。关于测量不变性，结果表明，参与者的性别存在部分不变性。SCI 的内部一致性得到了 Cronbach's α 和综合可靠性值的支持。自我护理维持、自我护理监测和自我护理管理的 Cronbach's α 值分别为.82、.86 和.83。
阿拉伯文版 SCI 的心理测量特性证明了其在普通成年人群中测量自我护理的有效性和可靠性，是一种强大的评估工具。
