| Objective:1.Translated and revised the Self-Stigma Scale,to form a set of suitable measurement tool for diabetes patients in China.2.Provide a theoretical basis for clinical practice on patients with diabetes,by investigating diabetes patients stigma and analyzing its affect factors.Methods: The study was divided into two parts.First,translate and revise the Self-Stigma Scale(SSS)by scale translation process.From January to June,2017,440 diabetes patients from a tertiary hospital in ChangZhou were sampled and asked to fill the Chinese version of SSS.Integrating research methods including principal component analysis and Cattell Scree tests,revised Chinese version of the SSS,and formulated Chinese scale of SSS(C-SSS).Second,investigate diabetes patients stigma and analysis its affect factors.With randon sampling,a total of 400 diabetes patients from hospital in ChangZhou were surveyed from July to December in 2017.Survey information consists of general situation,disease condition and stigma.Single factor and multiple linear regression analysis were used to determine the influence factors of stigma in young patients with diabetes mellitus.Results:1.Through Chinese localization and preliminary factor analysis,identify three dimensions contains 28 entries in SSS Chinese revision of scale.2.Reliability test : total scale Cronbach’s α :0.949,all subscales >0.8,Retest reliability coefficient:0.873.3.Validity test : The scale average validity index(S-CVI /Ave)was 0.944.Confirmatory factor analysis results show that the GFI: AGFI: 0.833,0.805,RMSEA: 0.065 the fitting indicators show that the fitting is good.4.The young and middle-aged patients with diabetes disease shame scored an average of 68.14±10.70 points,multiple linear regression analysis,according to the results of complications,insulin therapy,gender,family history,age,and diabetes type into the regression equation.Conclusions: 1.The revised Chinese SSS has good reliability and validity.2.Young and middle-aged people with diabetes have higher levels of stigma.The influence factors include complications,insulin treatment,gender,family history,age and type of diabetes. |