Analyzing factors affecting the social health of elderly tourists, a case study: Asara district, Karaj city

Due to the progress of science and technology and the improvement of quality in health care, public health has improved in general and social welfare has been increasingly improved, which leads to an increase in the number of elderly people around the world. Therefore, investigating factors affecting the social health of elderly tourists is one of the necessities of the 21st century. The purpose of this research is to identify the most important factors affecting the social health of the elderly.

The method of collecting information was library and field (keyes standard questionnaire) and descriptive and inferential statistics were used to analyze the data. The statistical population of the research is the elderly tourists present in the Asara section and the sample size is estimated to be 384 people through the infinite Cochran formula, which was used to perform the exploratory factor analysis test using Spss software and for confirmatory factor analysis, structural equation modeling was used using Amos Graphics software.

Based on the findings of the exploratory factor analysis of factors affecting the social health of elderly tourists in the study area; The highest to lowest impact with the variance percentage of the eigenvalue, respectively, includes: social participation 15.974%, social solidarity 12.622%, social flourishing 10.938%, social acceptance 10.677%, social cohesion 10.357% and belonging Social is 8.195%. The findings of the confirmatory factor analysis section based on structural equation statistics; It shows that the chi-square index with the value of 77.629 is significant and the relative indices with the value of 0.030 for the square root index of the residual mean square, the comparative indices with the value of 0.938 indicate the appropriateness of the model and indicate the appropriate situation and confirm the goodness of the model fit.

 In the first part, by performing the exploratory factor analysis method; It can be concluded that six factors (social participation, social solidarity, social prosperity, social acceptance, social cohesion and social belonging) were able to explain more than 68% of the cumulative variance of the social health components of the elderly, and the social participation factor has the highest effect and factor. Social belonging has the lowest effect among the six factors affecting the social health of elderly tourists. In the second part of the research, using confirmatory factor analysis, it can be concluded that the identified factors on the social health of elderly tourists in the study area are significant and positive, and the model has appropriate power in line with the appropriateness and significance of the factors affecting the social health of elderly tourists in Asara district.