经前综合征常见症状在护士临床实践中的预测作用：一项横断面研究。
The predictive role of common symptoms of premenstrual syndrome in the clinical practice of nurses: a cross-sectional study.
作者信息
Khazdoozi Parzhin, Javanmardifard Sorur, Keshtkaran Zahra
机构信息
Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Community Based Psychiatric Care Research Center, School of Nursing and Midwifery, Shiraz University of Medical Sciences, Shiraz, Iran.
出版信息
BMC Nurs. 2024 Aug 30;23(1):603. doi: 10.1186/s12912-024-02280-6.
BACKGROUND
Female nurses with high occupational stress are one of the groups at risk of premenstrual syndrome (PMS). The symptoms of this syndrome may affect the reduction of work efficiency, accuracy in doing work, concentration, and increased absenteeism of nurses and can lead to significant economic losses. This study aimed to determine the predictive role of common PMS symptoms in the clinical performance of nurses in public hospitals in Sanandaj, Iran.
METHODS
The present study was a descriptive-analytical and cross-sectional study. In this study, 318 nurses participated in the census method based on the inclusion criteria. Data collection tools were premenstrual symptom screening questionnaires and nurses' clinical performance evaluations. Data analysis was done with Spearman's correlation tests, simple linear regression, multiple regression, t-test, one-way variance analysis, Tukey's post hoc tests, and LSD using SPSS version 22 statistical software.
RESULTS
The average PMS score of the participants was 30.8 ± 11.45, which indicates severe PMS. Nurses' average clinical performance score was 45.78 ± 35.29, indicating an average performance. The findings showed that PMS has a significant inverse correlation with clinical performance and its components. Simple linear regression showed that PMS can predict 26.5% of nurses' clinical performance variance. Simple regression showed that with an increase of one standard deviation in the PMS score, the nurses' clinical performance score decreased by 0.517 standard deviations and vice versa. However, by controlling confounding variables, with an increase of one standard deviation in the PMS score, the clinical performance score of nurses will decrease by 0.396 standard deviations and vice versa.
CONCLUSIONS
Paying attention to reducing or controlling PMS symptoms may help improve nurses' performance. Therefore, hospital and nursing managers can improve the performance and efficiency of their workforce by identifying nurses and other employees suffering from PMS and planning and using different methods to reduce its symptoms.
背景
职业压力大的女护士是经前综合征（PMS）的高危人群之一。该综合征的症状可能会影响护士工作效率的降低、工作准确性、注意力集中程度，还会导致护士旷工率增加，并可能造成重大经济损失。本研究旨在确定常见的经前综合征症状对伊朗萨南达杰公立医院护士临床表现的预测作用。
方法
本研究为描述性分析横断面研究。在本研究中，318名护士根据纳入标准参与了普查法。数据收集工具为经前症状筛查问卷和护士临床表现评估。使用SPSS 22版统计软件进行Spearman相关性检验、简单线性回归、多元回归、t检验、单因素方差分析、Tukey事后检验和LSD分析。
结果
参与者的经前综合征平均得分为30.8±11.45，表明为重度经前综合征。护士的平均临床表现得分为45.78±35.29，表明表现一般。研究结果表明，经前综合征与临床表现及其组成部分存在显著负相关。简单线性回归表明，经前综合征可预测护士临床表现差异的26.5%。简单回归表明，经前综合征得分每增加一个标准差，护士的临床表现得分就会降低0.517个标准差，反之亦然。然而，在控制混杂变量后，经前综合征得分每增加一个标准差，护士的临床表现得分将降低0.396个标准差，反之亦然。
结论
关注减轻或控制经前综合征症状可能有助于提高护士的表现。因此，医院和护理管理人员可以通过识别患有经前综合征的护士和其他员工，并规划和采用不同方法减轻其症状，来提高员工的绩效和效率。
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