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Survey the Prevalence and predictors of depression in East Azerbaijan province health workers based on social ecological model in 2018

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Date
2017
Author
Daneshvar, Jalil
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Abstract
Introduction: Depression is the most common and most debilitating mental disorder. It by changing the level of activity, cognitive abilities, speech, sleep status, appetite, and other biological rhythms lead to impairment in job performance, public relations, and interpersonal communication. The present study was conducted to determine thePrevalence and predictors of depression in East Azerbaijan province health workers based on social ecological model in 2017. Methods: This descriptive-analytical study was carried out on 394 health workers in East Azerbaijan province. Multi-stage random sampling was done. Beck and individual, social and organizational levels that measure depression were measured. Descriptive and analytical statistics including Pearson, independent t-test, one-way ANOVA and logistic regression model were used for data analysis. Results: 43.5% of health care providers at the present study had different levels of depression. From a score of 1-5 for different levels of ecological model, the mean (standard deviation) of individual level score in health care providers was 3.73, interpersonal level was 3.92, social level was 3.12, and organizational level was 2.66. The most important predictors of depression were individual, interpersonal factors, history of psychiatric illness in family members and having chronic illness. Based on Pearson correlation test, there was a significant correlation between the history of psychiatric disorders in the members of the family of health workers (P = 0.000), the fetus of the parents before the age of 15 (P = 0.023), the history of chronic diseases of the health care workers (P = 0.000) and postmenopausal women with depression during the last three years (P = 0.007). Also, there was a significant statistical relationship between all levels of ecological model with depression and the most important predictors are individual and interpersonal factors.
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http://dspace.tbzmed.ac.ir:8080/xmlui/handle/123456789/34697
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