(2016) The determination of mental health among military retired forces based on organizational and humanistic variables. Journal of Military Medicine. pp. 191-196. ISSN 17351537 (ISSN)
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Abstract
Aims: Every staff member has a period called retirement which causes many changes and developments. The current study has aimed to determine the mental health among the military retired forces based on organizational and humanistic variables. Methods: In this study which was a description-correlational research, the population included the military staff forces in all the provinces of the country. Accordingly, 5265 retired staff were selected by Quota sampling method. The Mental Health Questionnaire (GHQ) was completed by the subjects. Data were analyzed using SPSS, descriptive statistics (Mean and Deviation Standard) and correlation. Results: No differences were observed between the mean of mental disorders among the retired men and women. Results showed that demographic variables (age, education, employee status, Housing status, economic status) have direct statistical effects on mental disorders. In other words, demographic variables (age, Education, Employee status, housing status, economic status) could predict mental disorders among the retired. In general, 13 percent of mental disorder's variance could be explained by demographic variables. Conclusion: According to the results of this study, it can be concluded that the demographic variables have a significant effect on the mental disorders of the retired. Due to the importance of the retired as intellectual forces, besides from benefiting from their capabilities, it is absolutely vital to reduce the mental damages caused during retirement by having strict planning during the staffs' career and even before their career in order to reduce these damages.
Item Type: | Article |
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Keywords: | Mental Health Organizational Variable Retired |
Divisions: | |
Page Range: | pp. 191-196 |
Journal or Publication Title: | Journal of Military Medicine |
Journal Index: | Scopus |
Volume: | 18 |
Number: | 2 |
ISSN: | 17351537 (ISSN) |
Depositing User: | مهندس مهدی شریفی |
URI: | http://eprints.bmsu.ac.ir/id/eprint/290 |
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