Objective To understand the core competence of the community backbone nurses,to provide effective and reliable basis for training and enhancing core competence of the community backbone nurses.Methods By simple cluster sampling method and the use of The Core Competence of Chinese Registered Nurse Scale,a questionnaire survey was conducted on 165 backbone nurses with community nurse practicing qualification.By analysis of ANOVA and LSD,the difference of general score of CIRN and score of every dimension among different age,different working years,different positions and different education degrees were compared.Results The average score of the core competence of community backbone nurses was (165.97±20.89).All dimensions from high to low order:ethical/legal practice,interpersonal relationship,professional development,education/counseling,critical thinking/scientific research,leadership ability,clinical nursing; Age group:31 to 40 years old group earned the highest score (168.09±20.90);Working years group:group with above 20 working years earned the highest score (167.78±19.72),which compared with other age groups was of statistical difference.Professional title group:co-chief nurse group earned the highest scores (172.67±13.20),which compared with other professional title groups was of statistical difference; Education degree group:associate degree group earned the highest score (166.63±20.81).Of which,bachelor degree group compared with other education degree groups in critical thinking/scientific research dimensions was of statistical difference.The other dimension of the comparison among groups was not significantly different.Conclusions Community nursing managers should carry out post arrangement and the professional development training according to individual situation of community nurses,to improve commumty backbone nurses' core competencies,thus promote the development of community nursing career.

Objective To analyze the relationship among perceived stress, resilience and sleep quality in patients with coronary heart disease, and to examine the mediating effect of resilience between perceived stress and sleep quality. Methods Totally 231 patients with coronaryheartdisease were selected. The Pittsburgh Sleep Quality Index (PSQI), Perceived Stress Scale (PSS), and 10-item Connor-Davidson Resilience Scale (CD-RISC-10) were used to assess the sleep quality, perceived stress and resilience respectively. Results The average scores of PSQI were (7.2 ± 2.8) points, and 71.4％ (165/231) of the participants had sleep problems (PSQI>5). CD-RISC-10 scores were negatively correlated with PSQI scores and PSS scores (r=-0.62,-0.43, P<0.01), and PSS scores were positively correlated with PSQI scores (r=0.33, P<0.01). Furthermore, Bootstrap-generated 95％CI was (0.130-0.319, P<0.01) and did not include 0, which indicated that resilience significantly mediated the relationship between perceived stress and sleep quality. The mediating effect size of resilience was 56.1％. Conclusion It suggests that patients with coronary heart disease have poor sleep quality. Perceived stress and resilience could affect sleep quality, and resilience could mediate the relationship between perceived stress and sleep quality.

Objective:To investigate mental workload among nurses from tertiary hospitals in Shandong Province, and analyze various factors related to mental workload.Methods:From May to July 2019, a cluster sampling method was used to select 8255 nurses from 20 third class a general hospitals in 16 cities of Shandong Province as the research objects, and 8159 valid questionnaires were collected. The general information and psychological load of nurses were investigated by general information questionnaire and task load index scale. The measurement data were expressed in percentage (%) ; the nurses' psychological load scores were in accordance with normal distribution, and the differences between groups were compared by t-test or ANOVA; the related influencing factors of nurses' psychological load were analyzed by multiple stepwise regression analysis.Results:The average scores of mental workload among nurses was 77.83 (SD=12.88) . Time demands and physical demands were the two highest rated dimensions of mental workload. the average scores were 90.77 (SD=12.47) and 79.92 (SD=15.23) . Multiple stepwise regression analysis showed that Satisfaction with income, monthly average night shift and professional titles were the significant predictors of mental workload ( R2=0.08) . Conclusion:Nurses with higher psychological load, lower income satisfaction, higher number of night shifts per month and lower title have higher psychological load.

Objective:To investigate mental workload among nurses from tertiary hospitals in Shandong Province, and analyze various factors related to mental workload.Methods:From May to July 2019, a cluster sampling method was used to select 8255 nurses from 20 third class a general hospitals in 16 cities of Shandong Province as the research objects, and 8159 valid questionnaires were collected. The general information and psychological load of nurses were investigated by general information questionnaire and task load index scale. The measurement data were expressed in percentage (%) ; the nurses' psychological load scores were in accordance with normal distribution, and the differences between groups were compared by t-test or ANOVA; the related influencing factors of nurses' psychological load were analyzed by multiple stepwise regression analysis.Results:The average scores of mental workload among nurses was 77.83 (SD=12.88) . Time demands and physical demands were the two highest rated dimensions of mental workload. the average scores were 90.77 (SD=12.47) and 79.92 (SD=15.23) . Multiple stepwise regression analysis showed that Satisfaction with income, monthly average night shift and professional titles were the significant predictors of mental workload ( R2=0.08) . Conclusion:Nurses with higher psychological load, lower income satisfaction, higher number of night shifts per month and lower title have higher psychological load.