جستجوی مقالات مرتبط با کلیدواژه "prevention" در نشریات گروه "میان رشته ای"

Among the most critical problems in students’ community is stigma against mental diseases; this issue will probably cause refusing treatments and more isolation. It threatens the relationships between students and community as a whole. Negative consequences like violence, depression, suicide, harm-related behaviors and so on are related to this social problem. This study has tried to collect and analyze the mechanisms and models used by the world's leading universities by examining their programs. This descriptive-analytical study examines pre-existing documents with a content-analytical method. This practical study focuses on existing documents; these documents are published in the form of texts in websites of universities. The statistical population is all the programs and strategies that have been used in universities in the United States, Canada, the United Kingdom and Australia in relation to the prevention and proper treatment of the stigma of mental health disorders. Based on this, about 127 related ideas were found and after refining them, 53 programs were finally selected. Findings showed that the main variables in the prevention and treatment of stigma of mental health disorders are awareness, behavior change, support network, student participation, mental health diagnosis solutions and software.

Due to the increase in population rates and the extensive growth of the construction industry in developing countries, the trend of occupational accidents in this sector has been increasing in recent years. In order to minimize such accidents, research must be conducted on the cause of occurrence and prevention methods of these accidents. Therefore, the current research was carried out with the aim of identifying and determining the impact of effective factors on the prevention of accidents at construction sites, using a descriptive-analytical method in terms of nature and practical in terms of purpose. The statistical population included supervisors and supervising engineers of construction sites with more than 10 years of experience working on construction sites in Kermanshah city. The primary information was collected through document-library review and based on the expert opinions, the effective factors in preventing accidents at construction sites were classified under three categories: managerial, individual and environmental. The primary research tool was a questionnaire, and SPSS and Smart PLS software were used to analyze the data. Model analysis was conducted by the structural equation modeling method with partial least squares approach. The results showed that the conceptual model of the research had a favorable fit. All relationships between sub-factors and factors were significant, and the managerial factor with a path coefficient of 0.724 had the greatest impact and the environmental factor with a path coefficient of 0.309 had the least impact on the prevention of accidents at construction sites.