Modeling structural equations of the characteristics of the elderly friendly city of Kermanshah

Elderly people are human beings who face anatomical, physiological, social and economic disabilities with various abilities, this may cause some elderly people to be unable to meet their daily needs. The aim of this study was to design and psychometric the indicators of an elderly friendly city in Kermanshah. The method of the present study is applied in terms of purpose and descriptive-correlational in terms of method. The statistical population of the present study consisted of all elderly people in Kermanshah. From this population, a sample of 366 was selected by simple random sampling method and they answered the questionnaire of indicators of elderly friendly city. Pearson correlation coefficient, internal consistency coefficient and confirmatory factor analysis were used to analyze the data. Data were analyzed using SPSS 25 and 8.8 Lisrel software. The results of internal osmotic coefficient showed that this scale has good reliability. Confirmatory index of analytical factor model confirmed the 8-factor model of this questionnaire. The results of correlation coefficient showed that the relationship between the indicators of an elderly friendly city is significant. The internal homology of the dimensions of these indices was determined by Cronbach's alpha coefficient. Cronbach's alpha coefficient for aging indices is in the range of 0.71 to 0.84.The results of this study showed that the Persian version of the indicators of the elderly-friendly city has good reliability and validity in the Iranian population and is a suitable self-assessment scale for clinical and research situations in the elderly population. One of the efforts to improve the quality of life of the elderly is this. Issue a policy through the government to implement a primary health care program for the elderly and optimize value for health systems.