Analysis on the status of depression and its influencing factors in empty-nest elderly in Shaanxi Province
	    		
		   		
		   			
		   		
	    	
    	 
    	10.3760/cma.j.issn.1674-2907.2018.14.009
   		
        
        	
        		- VernacularTitle:陕西省空巢老人抑郁现状及影响因素分析
 
        	
        	
        	
        		- Author:
	        		
		        		
		        		
			        		Xia WANG
			        		
			        		
			        		
			        			1
			        			
			        		
			        		
			        		
			        		
			        		;
		        		
		        		
		        		
			        		Qianzhen HUA
			        		
			        		;
		        		
		        		
		        		
			        		Siliu DUAN
			        		
			        		;
		        		
		        		
		        		
			        		Ying LI
			        		
			        		;
		        		
		        		
		        		
			        		Sale ZHANG
			        		
			        		;
		        		
		        		
		        		
			        		Ying CHENG
			        		
			        		;
		        		
		        		
		        		
			        		Fang'e LIU
			        		
			        		
		        		
		        		
		        		
		        		
		        			
			        		
			        		Author Information
			        		
		        		
		        		
			        		
			        		
			        			1. 710125,西安培华学院医学院
			        		
		        		
	        		
        		 
        	
        	
        	
        	
        		- Keywords:
        			
	        			
	        				
	        				
			        		
				        		Aged;
			        		
			        		
			        		
				        		Depression;
			        		
			        		
			        		
				        		Social support;
			        		
			        		
			        		
				        		Empty-nest;
			        		
			        		
			        		
				        		Influencing factors
			        		
			        		
	        			
        			
        		
 
        	
            
            
            	- From:
	            		
	            			Chinese Journal of Modern Nursing
	            		
	            		 2018;24(14):1644-1648
	            	
            	
 
            
            
            	- CountryChina
 
            
            
            	- Language:Chinese
 
            
            
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		        	Abstract:
			       	
			       		
				        
				        	Objective To investigate the incidence and influencing factors of depression in empty-nest elderly, so as to provide evidence for reducing depression in empty-nest elderly. Methods During July to August 2016, the elderly over 60 years old in Shaanxi Province, including 504 empty-nest elderly and 194 non-empty-nest, were selected convenience sampling method. The Geriatric Depression Scale (GDS), Social Support Scale, and self-designed questionnaire about the general condition were used. ANOVA was applied to analyze the depression scores; Pearson correlation analysis was used to analyze the relation between social support and depressive symptoms; and Logistic regression analysis had been used to analyze the influencing factors of depression. Results The detection rate on depression of empty-nest elderly was 45.63%, and that of the non-empty-nest elderly was 32.99%, the difference was statistically significant (χ2=10.447,P< 0.05). The scores of GDS of the empty-nest and non-empty-nest elderly were (9.68±5.26) and (8.51±4.69) respectively, and the difference was statistically significant (t=7.390,P< 0.01). Logistic regression analysis showed that living pattern (OR=0.596), degree of education (OR=0.799), age (OR=1.394), place of abode (OR=1.699), happiness degree of later life (OR=1.663) and current life satisfaction (OR=1.474) were correlated with depressive symptom (P<0.05). In addition, Pearson correlation analysis indicated that the social support of the empty-nesters was negatively correlated with depression (r=-0.260,P<0.01). Conclusions The incidence of depression is high in empty-nest elderly, which seriously affects the physical and mental health of them. Targeted measures should be taken to provide more comprehensive social support for empty-nest elderly, improve their life quality and reduce the incidence of depression.