Cluster analysis of health risk behaviors among secondary school students in Shanghai
	    		
	    			
	    			
		        		
			        		
		        		
			        
		        		
			        		
		        		
			        
		   		
		   		
		   			
		   		
	    	
    	 
    	10.16835/j.cnki.1000-9817.2023.08.006
   		
        
        	
        		- VernacularTitle:上海市中学生健康危险行为聚集模式分析
 
        	
        	
        	
        		- Author:
	        		
		        		
		        		
			        		ZHU Yan, SHI Huijing, LUO Chunyan
			        		
			        		
			        		
			        			1
			        			
			        		
			        		
			        		
			        		
			        		
		        		
		        		
		        		
		        		
		        			
			        		
			        		Author Information
			        		
		        		
		        		
			        		
			        		
			        			1. School of Public Health, Fudan University, Shanghai (200032) , China
			        		
		        		
	        		
        		 
        	
        	
        	
        		- Publication Type:Journal Article
 
        	
        	
        		- Keywords:
        			
	        			
	        				
	        				
			        		
				        		Dangerous behavior;
			        		
			        		
			        		
				        		Violence;
			        		
			        		
			        		
				        		Mental health;
			        		
			        		
			        		
				        		Smoking;
			        		
			        		
			        		
				        		Alcohol drinking;
			        		
			        		
			        		
				        		Students
			        		
			        		
	        			
        			
        		
 
        	
            
            
            	- From:
	            		
	            			Chinese Journal of School Health
	            		
	            		 2023;44(8):1145-1150
	            	
            	
 
            
            
            	- CountryChina
 
            
            
            	- Language:Chinese
 
            
            
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		        	Abstract:
			       	
			       		
				        
				        	Objective:To explore the patterns of health risk behaviors among secondary school students in Shanghai, so as to provide a basis for implementing targeted interventions.
				        	
				        
				        	Methods:From May to June 2021, 21 junior high schools, regular high schools and secondary vocational schools were selected from Shanghai, and the occurrence of dangerous health behaviors of 6 092 students were investigated in the form of self-filled questionnaires. The clustering analysis of the sample was performed by Ward s departure and peace method.
				        	
				        
				        	Results:Three types of clustering characteristics were found in this study: being bullied, depression (64.9%), loneliness (48.2%), and insomnia (42.4%) in the high-risk group (1 004, 16.5%); excessive video games (53.1%) and sugary drinks (89.3%) and fried food intake (79.0%) in the medium-risk group (1 585, 26.0%); the low-risk group (3 503, 57.5%) was characterized by extremely low alcohol consumption (0) and smoking (0.4%). The reporting rate on sugary beverage intake, fried food intake, physical activity, malicious teased, solicited, isolated/intentionally excluded, outside the group activities, threatened, kicked/hit/pushed/locked in house, smoking, unhealthy weight loss, playing video game overtime were statistically significant among the three groups ( χ 2=36.74, 41.85, 30.07, 652.68, 334.40, 669.89, 358.84, 233.12, 101.46, 88.45, 230.15,  P <0.01) .The difference in reporting rates of loneliness, depression, insomnia and drinking were significant among the three groups (Fisher s test,  P <0.01). The majority of junior high school students, general high school students and girls in the high-risk group; boys, general high school students and junior high school students in the excessive video game and unhealthy diet group.
				        	
				        
				        	Conclusion:There are clusters of health-related risk behaviors among secondary school students in Shanghai, focusing on two major aspects: poor lifestyle and mental health. Targeted interventions should be implemented according to the characteristics of health-related risk behaviors clustering to enhance the intervention effect.