چكيده به لاتين
In recent years, the incidence of unprovoked diseases has increased dramatically. Rapid globalization, urbanization, community aging and the rise of chronic diseases have created new challenges for modern health care systems. Cardiovascular diseases is the most common cause of death and disability in most developed countries, including the United States and / or , Developing, including Iran, is one of the most important factors in the decomposition of individuals. Therefore, in the present study, first, using the method of Co-Word analysis in the field of scientometrics and the use of Web of science and softwares such as Bibexcel, VOSviewer and Gephi, and its specific indicators such as betweenness centrality, betweenness degree and modularity of the network is investigated. And analysis of published articles in the field of prevention of cardiovascular diseases in Iran.
The results showed that not only very few studies have been carried out in this area in Iran, but a great deal of discrepancy between the areas studied.
In addition to the applicability of the results of the scientometrics technique, the research gap in this area could be due to a lack of in-depth study on the prevention of cardiovascular diseases by considering environmental factors in Iran. The results of this research, Emphasizes this category.
According to the results of scientometrics, previous studies have been carried out to extract the environmental factors affecting these diseases. After extracting factors, from 25 cardiovascular experts, a questionnaire was asked to score 24 factors based on the Likert Scale to determine the significance of each of them. The results of two stages of the survey using the method Fuzzy Delphi Analysis was performed. In the next step, 14 factors were removed after screening and the remaining 10 factors were: air pollution (CO-PM10-NO2-O3-SO2-PM2.5), population density , The number of health centers, noise pollution, the number of welfare and recreation centers, the employment rate (employment rate), the number of parks and recreation facilities and the green area, the level of knowledge, knowledge, Wad (literacy rate), confectionery and fast food restaurants density, and the number of educational and cultural centers in the final stage by a questionnaire on the fuzzy best-worst method and the opinion of 10 cardiovascular experts using soft modeling Lingo software weighed.
The results of model solving and weights derived from each of the indicators, along with information for each of these indices, were segregated from the 22 areas of Tehran that were collected from the relevant organizations for the final analysis and prioritization of the 22 areas Tehran was transferred to Arc GIS 10.5 software.
The results after classification and applying the positive or negative effects of indices and drawing the maps of the indicators showed that the region 8 (except for a small part of the west) as the best region and region 16 and 19 (approximately the kidneys The sections of these two regions) are in the final priorities for the prevention of cardiovascular diseases, in other words, in these areas the incidence of cardiovascular disease is higher than in other areas and is considered as high risk areas. Other areas Also ranked second to twenty first.
Also, the results of the analysis of standard deviation and correlation and sensitivity analysis of oval indices showed the high validity of the indices and related information in each of the 22 areas of Tehran.
By comparing weight variations and index ranking in each of the three stages, the elimination of literacy rate, employment rate and confectionery and fast food restaurants density in order to analyze the sensitivity and initial weights significantly didn’t changed the prioritization of indices relative to the initial state However, by eliminating the literacy rate, the priority of the best region of the eastern area of the region 8 was changed to the northern area of the region 6, which indicates the high impact of this indicator on the prioritization of the regions.
