Objective To determine the factors influencing insomnia and construct early insomnia warning tools for rescuers to informbest practices for early screening and intervention.Methods Cluster sampling was used to conduct...Objective To determine the factors influencing insomnia and construct early insomnia warning tools for rescuers to informbest practices for early screening and intervention.Methods Cluster sampling was used to conduct a cross-sectional survey of 1,133 rescuers from one unit in Beijing,China.Logistic regression modeling and R software were used to analyze insomniarelated factors and construct a PRISM model,respectively.Results The positive rate of insomnia among rescuers was 2.74%.Accounting for participants’age,education,systolic pressure,smoking,per capita family monthly income,psychological resilience,and cognitive emotion regulation,logistic regression analysis revealed that,compared with families with an average monthly income less than 3,000 yuan,the odds ratio(OR)values and the[95%confidence interval(CI)]for participants of the following categories were as follows:average monthly family income greater than 5,000 yuan:2.998(1.307–6.879),smoking:4.124(1.954–8.706),and psychological resilience:0.960(0.933–0.988).The ROC curve area of the PRISM model(AUC)=0.7650,specificity=0.7169,and sensitivity=0.7419.Conclusion Insomnia was related to the participants’per capita family monthly income,smoking habits,and psychological resilience on rescue workers.The PRISM model’s good diagnostic value advises its use to screen rescuer early sleep quality.Further,advisable interventions to optimize sleep quality and battle effectiveness include psychological resilience training and smoking cessation.展开更多
In our conversation with Prof.CHEN Lingling on the"dark mat ter"in the genome,namely the non-coding RNAs,we got to know two classes of long non-coding RNAs(lncRNAs)in close association with Prader-Willi synd...In our conversation with Prof.CHEN Lingling on the"dark mat ter"in the genome,namely the non-coding RNAs,we got to know two classes of long non-coding RNAs(lncRNAs)in close association with Prader-Willi syndrome(PWS).Each with a snoRNA cap on its either end,they fall in the sno-lncRNA family,a group of lncRNAs identified by CHEN’s group in their earlier research.Here we are meeting another member of the family,SLERT,a rescuer展开更多
The aim of this study was to test the validity and reliability of a tool for measuring the disaster resilience of healthcare disaster rescuers.A cross-sectional study involving 936 healthcare disaster rescuers of the ...The aim of this study was to test the validity and reliability of a tool for measuring the disaster resilience of healthcare disaster rescuers.A cross-sectional study involving 936 healthcare disaster rescuers of the Sichuan Disaster Response Team was conducted to establish the psychometric properties of the disaster resilience measuring tool(DRMT).Item analysis,exploratory factor analysis,confirmatory factor analysis,and correlation analysis were adopted to analyze the data.Item analysis showed that all but three items had the critical ratio over 3,which indicates adequate discriminability for inclusion in the measuring tool.The exploratory factor analysis showed that 65.93%of the total variance was explained by four factors—self-efficacy,social support,positive growth,and altruism.The confirmatory factor analysis showed goodness of fit for the four-factor model:CMIN/DF(2.846),GFI(0.916≥0.90),CFI(0.949≥0.90),AGFI(0.891≥0.80),and RMSEA(0.063≤0.08).Criterion validity demonstrated significant associations of the DRMT and the Connor-Davidson Resilience Scale(P<0.01,r=0.566).Convergent validity was established by correlation with stress(P<0.05,r=-0.095),depression(P<0.01,r=-0.127),posttraumatic stress disorder-PCL-C(P<0.05,r=-0.100),compassion satisfaction(P<0.01,r=0.536),and burnout(P<0.01,r=-0.330).The DRMT demonstrated adequate internal consistency(Cronbach’s alpha>0.84)and stability over the two-week study period(intraclass correlation coefficient>0.85),and a cut-off point of 61 was suggested.The disaster resilience measuring tool has satisfactory psychometric properties and is a valid,reliable,and valuable instrument for assessing disaster resilience in healthcare rescue workers.The scale needs to be tested further among other populations and those from other cultures.展开更多
基金Beijing Science and Technology"Capital Characteristics"Project[Z181100001718007]Translational Medicine Project of PLA General Hospital[2017TM-023]+1 种基金Expansion of Military Medical and Health Achievements[17WKS25]National Science and Technology Support Program[No.2013BAI08B01]。
文摘Objective To determine the factors influencing insomnia and construct early insomnia warning tools for rescuers to informbest practices for early screening and intervention.Methods Cluster sampling was used to conduct a cross-sectional survey of 1,133 rescuers from one unit in Beijing,China.Logistic regression modeling and R software were used to analyze insomniarelated factors and construct a PRISM model,respectively.Results The positive rate of insomnia among rescuers was 2.74%.Accounting for participants’age,education,systolic pressure,smoking,per capita family monthly income,psychological resilience,and cognitive emotion regulation,logistic regression analysis revealed that,compared with families with an average monthly income less than 3,000 yuan,the odds ratio(OR)values and the[95%confidence interval(CI)]for participants of the following categories were as follows:average monthly family income greater than 5,000 yuan:2.998(1.307–6.879),smoking:4.124(1.954–8.706),and psychological resilience:0.960(0.933–0.988).The ROC curve area of the PRISM model(AUC)=0.7650,specificity=0.7169,and sensitivity=0.7419.Conclusion Insomnia was related to the participants’per capita family monthly income,smoking habits,and psychological resilience on rescue workers.The PRISM model’s good diagnostic value advises its use to screen rescuer early sleep quality.Further,advisable interventions to optimize sleep quality and battle effectiveness include psychological resilience training and smoking cessation.
文摘In our conversation with Prof.CHEN Lingling on the"dark mat ter"in the genome,namely the non-coding RNAs,we got to know two classes of long non-coding RNAs(lncRNAs)in close association with Prader-Willi syndrome(PWS).Each with a snoRNA cap on its either end,they fall in the sno-lncRNA family,a group of lncRNAs identified by CHEN’s group in their earlier research.Here we are meeting another member of the family,SLERT,a rescuer
文摘The aim of this study was to test the validity and reliability of a tool for measuring the disaster resilience of healthcare disaster rescuers.A cross-sectional study involving 936 healthcare disaster rescuers of the Sichuan Disaster Response Team was conducted to establish the psychometric properties of the disaster resilience measuring tool(DRMT).Item analysis,exploratory factor analysis,confirmatory factor analysis,and correlation analysis were adopted to analyze the data.Item analysis showed that all but three items had the critical ratio over 3,which indicates adequate discriminability for inclusion in the measuring tool.The exploratory factor analysis showed that 65.93%of the total variance was explained by four factors—self-efficacy,social support,positive growth,and altruism.The confirmatory factor analysis showed goodness of fit for the four-factor model:CMIN/DF(2.846),GFI(0.916≥0.90),CFI(0.949≥0.90),AGFI(0.891≥0.80),and RMSEA(0.063≤0.08).Criterion validity demonstrated significant associations of the DRMT and the Connor-Davidson Resilience Scale(P<0.01,r=0.566).Convergent validity was established by correlation with stress(P<0.05,r=-0.095),depression(P<0.01,r=-0.127),posttraumatic stress disorder-PCL-C(P<0.05,r=-0.100),compassion satisfaction(P<0.01,r=0.536),and burnout(P<0.01,r=-0.330).The DRMT demonstrated adequate internal consistency(Cronbach’s alpha>0.84)and stability over the two-week study period(intraclass correlation coefficient>0.85),and a cut-off point of 61 was suggested.The disaster resilience measuring tool has satisfactory psychometric properties and is a valid,reliable,and valuable instrument for assessing disaster resilience in healthcare rescue workers.The scale needs to be tested further among other populations and those from other cultures.
