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Effects of assertiveness and psychosocial work condition on workplace bullying among nurses: A cross-sectional study
No full textAims: This study aims to explore nurses' demographic data, assertiveness, psychosocial work condition, and workplace bullying, and find the predictors of workplace bullying.
Methods: This study adopted a cross-sectional design. A stratified sample comprising 241 nurses from a regi onal teaching hospitals in Taiwan was selected from the 10th to the 23rd September, 2018. Data were analysed by using the SPSS Statistics 17.0. Descriptive statistics (frequency, percentage, mean, and standard deviation), one-way Anova, t test, Pearson's correlation, and multiple linear regressions were used.
Results: The results showed that the participants with “past bullying experience,” “lower self-assertiveness,” “higher work psychological demands,” “lower workplace justice,” “lower labour participation,” and “lower overall social support” are more likely to experience workplace bullying.
Conclusions: Hospital managers should pay attention to the problem of nursing workplace bullying. First of all, hospital managers should encourage curriculum on nursing workplace bullying and incorporate nursing workplace bullying prevention training courses in curriculum planning
Outcomes of a walking exercise intervention in postpartum women with disordered sleep
No full textAim
Good sleep quality is essential to physical and mental-health-related quality of life. The purpose of this study was to evaluate the effects of a walking exercise in relieving sleep quality, fatigue, and depression in new mothers during the postpartum period.
Methods
This quasi-experimental study was conducted at a teaching hospital in southern Taiwan. One hundred and four eligible postpartum women with poor sleep quality (Postpartum Sleep Quality Scale; PSQS score ≧16) were assigned to either the experimental group (n = 50) or the control group (n = 54) according to their individual preferences. The participants in the experimental group participated in a 12-week stride walking exercise intervention. The control group did not receive any exercise intervention. The PSQS, Postpartum Fatigue Scale, and Edinburgh Postnatal Depression Scale were used to assess outcomes.
Results
Repeated measures ANOVA demonstrated that the experimental group participants perceived milder physical symptoms associated with sleep inefficiency at 4-week posttest (F = 7.25, p < 0.01) than their control group peers. However, no significant differences were found between two groups in terms of either fatigue or depression at 4-week and 12-week posttest.
Conclusion
Significant improvement in the physical symptoms associated with sleep inefficiency was observed. The findings may be used to encourage postpartum women with disordered sleep to incorporate 20–30 min of stride walking into their regular routine to improve sleep quality
Prediction Model for Diagnosis of Kawasaki Disease Using iTRAQ-Based Analysis
No full textA quick prediction method may help confirm the diagnosis of Kawasaki disease (KD), and reduce the risk of coronary artery lesions. The purpose of this study was to evaluate potential candidate diagnostic serum proteins in KD using isobaric tagging for relative and absolute quantification (iTRAQ) gel-free proteomics. Ninety two subjects, including 68 KD patients (1.6 ± 1.2 years, M/F 36/32) and 24 fever controls with evident respiratory tract infection (2.1 ± 1.2 years, M/F 13/11) were enrolled. Medical records were reviewed for demographic and laboratory data. The iTRAQ gel-free proteomics was used to screen serum proteins completely and compare the difference between two groups followed by specific validation with ELISA. The candidate proteins and conventional laboratory items were selected for the prediction model of KD diagnosis by support vector machine. Five selected candidate proteins, including protein S100-A8, protein S100-A9, protein S100-A12, neutrophil defensin 1, and alpha-1-acid glycoprotein 1 were identified for developing the prediction model of KD diagnosis. They were used to develop an efficient KD prediction model with an area under receiver operating characteristic (auROC) value of 0.92 (95% confidence interval: 0.84, 0.98). These protein biomarkers were significantly correlated with the conventional laboratory items as follows: C-reactive protein, glutamic pyruvic transaminase, white blood count, platelet, segment and hemoglobin. These conventional laboratory items were used to develop a prediction model of KD diagnosis with an auROC value of 0.88 (95% confidence interval: 0.80, 0.96). Our result demonstrated that the prediction model with combined five selected candidate protein levels may be a good diagnostic tool of KD. Further prediction model with combined six conventional laboratory data is also an acceptable alternative method for KD diagnosis