| Objective(1)According to the cross-cultural debugging procedure of the Scale,the Social Isolation Scale in Older Adults(SIS)was introduced and localized to test its reliability and validity,and a Chinese version of the Scale suitable for The cultural background of China was formed to provide an effective tool for the evaluation of the Social Isolation level of the elderly in China and the evaluation of the effect of intervention.(2)The Chinese Version of the Social Isolation Scale in Older Adults(C-SIS)was used to investigate the current situation of the Social Isolation of the elderly in the community of the medical association of The Third-grade A Hospital in Ordos city and analyze its influencing factors.Methods(1)Authorized by the original author through email,translated and translated the English version of SIS scale using Brislin classic translating-back method,and then modified the scale according to the opinions of experts on cross-cultural debugging and preliminary survey results,and finally formed C-SIS.The general Information Questionnaire,C-SIS and Lubben Social Network Scale(LSNS-6)were used to formally investigate 273 elderly people who met the admission criteria in the community of Ordos city by means of convenience sampling.The reliability and validity of C-SIS were evaluated by internal consistency,retest reliability,content validity,structural validity(exploratory factor analysis),calibration correlation validity and item analysis.(2)A general information questionnaire and C-SIS were distributed to 270 elderly people who met the admission criteria in the community of Ordos city by convenient sampling method to investigate the level of social isolation of the elderly in Ordos city and its influencing factors.Results(1)C-SIS formed after Sinicization consists of 6 items,including two dimensions: degree of connection and sense of belonging.The item content validity index(I-CVI)of the scale ranged from 0.83 to 1,and the average content validity index(S-CVI)of the scale was 0.97.Two common factors were extracted by exploratory factor analysis,and the cumulative variance contribution rate was 65.685%.The extraction ratio of common factor variance of each item was >0.4.The correlation coefficient between C-SIS and LSNS-6 was 0.678.The Cronhbach’s α coefficient of the total quantity table was 0.763,the Cronhbach’s α coefficient of the two dimensions of connection degree and belonging sense were 0.730 and 0.707,respectively,and the retest reliability was 0.936.The correlation value R between the score of each item in C-SIS and the total score in C-SIS was >0.4,ranging from 0.543 to 0.766,and the correlation value between each item was 0.204 to 0.653,showing a good positive correlation(p <0.01).The criteria value of the six items of C-SIS ranged from 6.458 to20.869,which were all higher than the set value of 3.000 and had statistical significance(P <0.05).(2)The total score of social isolation of the elderly in Ordos community was(19.00±3.800)points.The scores of the two factors were(9.11±2.315)and(9.84±2.173)respectively.And nation,intergenerational economic support,the number of children and the number of diseases are the main factors affecting the social isolation of the elderly in Ordos.Conclusions(1)The Chinese version of the Social Isolation Scale for the Elderly(C-SIS)developed in this study has a high degree of differentiation and identification,and has good reliability and validity.It can be used as an effective and reliable tool to evaluate the level of social isolation for the elderly in the community and the effect of intervention.(2)The average score of social isolation of the elderly in the community in Ordos city is relatively high,and nation,intergenerational economic support,the number of the children,the disease is one of the important factors affecting the elderly social isolation.Therefore,managers should comprehensively grasp the influencing factors of social isolation of the elderly,and take targeted measures to reduce the incidence of social isolation of the elderly,so as to reduce the occurrence of adverse events. |