Ilanloo H,  Ahmadi S,  Farahani N,  Hasani M B,  Rezaei M. 
(2020).  Life satisfaction prediction based on early maladaptive schemas and lifestyle in nurses.  Journal of Psychological Science. 19(88),  431-437. 
URL: http://psychologicalscience.ir/article-1-670-en.html     
                     
                    
                    
                    
					 
					
                 
                
                    
                    
                    
                    kharazmi University , hosseinelanloo@gmail.com
                    
                    
                    Abstract:       (3568 Views)
                    
                    
                    Background: Numerous studies have predicted life satisfaction, but life satisfaction prediction based on early maladaptive schemas and lifestyles has been neglected. Aims: The purpose of this study was to predict life satisfaction based on early maladaptive schemas and lifestyle in nurses. Method: The study was descriptive-correlational. The statistical population of this study was all nurses of Imam Khomeini and Mostafavi hospitals in Tehran in 1997-98. 150 individuals were selected by convenience sampling method. The tools of the study are: The Life Satisfaction Questionnaire (Q-Les-QSF) of Indic et al. (1), the Young Schema Questionnaire (YSQ-SF) and the Milwaukee Lifestyle Questionnaire (2001). The Pearson correlation coefficient was performed step by step. Results: There was a significant positive relationship between life satisfaction and lifestyle (p<0/001) and there was a significant relationship between life satisfaction and early maladaptive schemas (p<0/001). Conclusions: Early maladaptive schemas and lifestyle predicted life satisfaction
                     
                    
                    
                    
                    
                    Type of Study:  
Research |
                    Subject: 
                    
Special  Received: 2020/02/15 | Accepted: 2020/04/1 | Published: 2020/05/3
                    
 
                    
                    
                    
                    
                    
                    
                    
                    
	
		
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