RESUMO
Objective To explore the consistency between the Chinese Version of Stressors in Nursing Students (SINS-CHI) and the Student Nurse Stress Index Scale (SNSI-CHI) in assessing the pressure of undergraduate nursing students.Methods A total of 960 nursing undergraduates from three universities in Henan province were randomly selected.SINS-CHI and SNSI-CHI were applied to all subjects and SPSS 21.0 was used to analyze the validity and reliability.Results The total score of SINS-CHI was (112.73± 26.07).The Cronbach's α was 0.926,the Guttman's partial reliability coefficient was 0.893,the test-retest reliability was 0.820,the content validity index (CVI) was 0.890,the sensitivity was 70.0％,and the specificity was 62.3％.The Yoden index was 0.323 and the area under the ROC curve was 0.710.The total score of SNSI-CHI was (58.71± 14.18).The Cronbach's α was 0.893,Guttman split-half reliability coefficient was 0.829,test-retest reliability was 0.966,CVI was 0.954,sensitivity was 71.4％,specificity was 63.6％.The Yoden index was 0.350 and the area under the ROC curve was 0.714.Conclusion The consistency of SINS-CHI and SNSI-CHI is good.
RESUMO
Objective To investigate the risk factors for stroke in population with family history in rural areas of Zhengzhou. Methods A cluster random sampling method was used to collect 386 residents with family history of stroke from 5 villages of Zhengzhou. The participants were divided into stroke group and non-stroke group according to diagnosis. IBM SPSS STATISTICS 21.0 and SPSS Modeler 14.1 software were used to analyze the data.Results Hypertension, dyslipidemia, atrial fibrillation or arrhythmia, smoking and drinking in stroke group were significantly higher than those of the non-stroke group (P < 0.05). Logistic regression analysis indicated that hypertension (OR=35.705, 95％ CI9.045～140.950, P =0.000) and dyslipidemia (OR=2.669, 95％ CI 1.077～6.614, P = 0.034) were linked with stroke. Artificial neural network (ANN) model indicated the independent variables in predicting stroke were hypertension, dyslipidemia, smoking, drinking and atrial fibrillation or arrhythmia according significance, respectively. The accuracy of the model was 82.0％. Conclusion Among population with family history of stroke, those who had hypertension, dyslipidemia, atrial fibrillation or arrhythmia, smoking and drinking were more susceptible to develop this condition.
RESUMO
Objective To test the reliability and validity of the Chinese Version of the Student Nurse Stress Index Scale ( SNSI-CHI ) among Chinese nursing students. Methods A random sampling method was used to collect 1100 nursing students who were from two medical universities of Henan Province, China,and SPSS 17. 0 and AMOS 17. 0 software were used. Results The average total score of SNSI-CHI was 58. 46±13. 90. The Cronbach's α was 0. 886,the test-retest intra-class correlation coefficient( ICC) of SNSI-CHI was 0. 996 (95％CI:0. 992-1. 000,P<0. 01). The item-to-total correlations ranged from 0. 351 to 0. 664 ( all P<0. 01) . The content validity index( CVI) was 0. 954. The result of exploratory factor analysis ( EFA) was that three factors together explained 75. 013％ of the total variances,and the confirmatory factory analysis( CFA) also indicated a good fit (χ2/df=1. 347,GFI=0. 956,AGFI=0. 945,RMR=0. 032,RMSEA= 0. 025, NFI=0. 974, IFI=0. 993, TLI=0. 992, CFI=0. 993 ) . Criterion-related validity was between 0. 330 and 0. 903 ( all P<0. 01) . Conclusion The SNSI-CHI is proved to be reliable and valid in China, and it can be used to measure the stress of Chinese nursing students.
