Objective: To investigate the relationship between personality characteristics and turnover intention of the medical staff in an infectious diseases hospital. Methods: Using the cluster sampling method, a total of 366 members of medical staff were selected from different departments in an infectious disease hospital from May to August, 2013. The general information, such as sex, age, education level, and professional title, were collected and they were subjected to a survey using Cattell’s 16 Personality Factor Questionnaire and Turnover Intention Scale. The data were subjected to logistic regression analysis. Results: Compared with the Chinese norm, the medical staff in the infectious disease hospital had significantly higher scores of intelligence, stability, bullying, excitability, perseverance, social boldness, fantasy, privateness, independence, and self-discipline and significantly lower scores of gregariousness, sensitivity, suspicion, anxiety, and tension (P<0.05). Of the 366 members of medical staff, 22 (6.01%) had a very low turnover intention, low in 152 (41.53%) , high in 61 (16.67%) , and very high in 131 (35.79%). The logistic regression analysis showed that sensitivity, suspicion, fantasy, privateness, anxiety, openness to change, and independence were the risk factors for turnover intention (P<0.05) . Conclusion Compared with the Chinese norm, the medical staff in the infectious disease hospital have a better mental quality and a higher turnover intention. The individuals with sensitivity, suspicion, fantasy, and anxiety are prone to having turnover intention.

Objective To investigate the effects of simulated microgravity by rotary cell culture system (RCCS) on expression profiles of miRNA in mouse fibroblasts L929 cell line.Methods L929 cells were cultured in vitro and divided into simulated microgravity (SMG) group and normal gravity (NG) group according to the simple random method.Samples of two groups were collected on 7th day of culture and the total RNAs were extracted,labeled,and hybridized in sequence.Feature Extraction Software was used to collect the array images and get raw data,which were analyzed by Genespring Software.Differentially expressed miRNAs were identified and then validated by qRT-PCR.Target genes of differentially expressed miRNAs were predicted by the databases of Targetscan and microRNAorg,and the intersections of databases were identified as potential regulatory target genes.Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) analysis were applied to determine the roles of these target genes.Relevant biological functions and/or signaling pathways of the regulated genes especially related with wound healing process were categorized based on their enrichments.Then integration predictions of the miRNA and mRNA expression profiles had been proposed to refine the functional miRNA-mRNA relationships.The miRNA-mRNA functional network and miRNA-mRNA control network were constructed.Results Four miRNA genes were up-regulated significantly including mmumiR-669j,-122-5p,-30a-3p,-6516-3p,among which mmu-miR-669j was up-regulated at 52.84 folds with the greatest significance (P ＜ 0.05).Seventeen miRNA genes were down-regulated significantly including mmu-miR-21a-3p,-miR-28a-5p,-218-5p,-210-3p,-miR-19a-3p,-miR-31-3p,and-miR-19b-3p,among which mmu-miR-28a-5p was down-regulated at 15.47 folds with the greatest significance (P ＜ 0.05).The qRT-PCR showed a high concordance with the microarray results (P ＜ 0.05).Target gene prediction and functional enrichment analysis suggested that a variety of biological processes and signaling pathways involved in wound repair were significantly enriched (P ＜ 0.05).Function network and regulation network of miRNA-mRNA covered all the differentially expressed miRNAs,which suggested that miR-21 a-3p and predicted target gene Smad3 might play an important role in wound healing under microgravity.Conclusions Simulated microgravity by RCCS can significantly affect the expression of stress-related miRNAs in mouse fibroblasts L929.The miRNA target gene prediction and functional enrichment analysis based on gene chip technology may provide theoretical basis for illustrating the mechanism and management of weightlessness stress injury.

Objective: To investigate the sleep quality of the employed nurses in three grade A tertiary military hospitals in Beijing, China and its influential factors and to provide a reference for improving the sleep quality of employed nurses. Methods: From January 2014 to January 2017, a questionnaire survey was carried out to investigate the sleep quality of 253 employed nurses in three grade A tertiary military hospitals in Beijing, China using the Pittsburgh Sleep Quality Index (PSQI) and a general status questionnaire. The results were compared with the adult norms to analyze the influential factors for sleep quality of the employed nurses. Results: The global PSQI score of the 253 employed nurses was 7.76 ± 3.53. Their global PSQI score and PSQI component scores were significantly higher than the adults norms (P<0.05) . And 54.94% of the employed nurses had poor sleep quality; they had high scores of daytime dysfunction (1.39±0.83) , sleep latency (1.67±0.94) , sleep quality (1.33±0.88) , and sleep time (1.23±0.78) . The one-way analysis of variance showed that the sleep quality of the employed nurses was associated with nursing age, educational background, professional title, whether to have children, frequency of night shifts, and department (P<0.05) . The multivariate logistic regression analysis showed that the risk factors for sleep quality of the employed nurses were technical secondary school education (OR=4.292) and emergency department and intensive care unit (OR=2.582) ; the protective factors for sleep quality of the employed nurses were outpatient department and assistant department (OR=0.312) , no children (OR=0.318) , and no night shift (OR=0.332) . Conclusion The employed nurses in military hospitals have poorer sleep quality than the normal adults. The influential factors for sleep quality of employed nurses are educational background, department, whether to have children, and frequency of night shifts.

Objective: To investigate the sleep quality of prison policemen and explore its influencing factors, so as to provide reference for improving the sleep quality of prison policemen. Methods: In August 2013, 177 policemen in a prison were selected by cluster sampling. The sleep quality of 177 prison policemen was investigated by Pittsburgh Sleep Quality Index Scale and General Situation Questionnaire, and the influencing factors were analyzed. Results: The PSQI scores of 177 prison policemen were (7.47+3.80). There were significant differences between the PSQI scores of prison policemen and the normal adult norm (P<0.05). According to the standard of poor sleep quality, 84 prison policemen (47.46%) had poor sleep quality, and the prison policemen scored higher on daytime dysfunction, subjective sleep quality, sleeping time and sleeping time components. Single factor t test and single factor variance analysis showed that there were significant differences in sleep quality among prison policemen in gender, age, educational level and job classification (P <0.05). The results of multiple stepwise regression analysis showed that gender, age and job classification entered the regression equation with PSQI total score as dependent variable (β=0.167, 0.270, 0.222) . Conclusion The sleep quality of prison policemen is worse than that of normal adults, and is affected by gender, age, job classification and other factors, which should be paid attention to by prison administrators.