Interactions of Behavioral Changes in Smoking, High-risk Drinking, and Weight Gain in a Population of 7.2 Million in Korea
	    		
		   		
		   			
		   		
	    	
    	- Author:
	        		
		        		
		        		
			        		Yeon Yong KIM
			        		
			        		
			        		
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			        		Hee Jin KANG
			        		
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			        		Seongjun HA
			        		
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			        		Jong Heon PARK
			        		
			        		
		        		
		        		
		        		
			        		
			        		Author Information
			        		
 - Publication Type:Original Article
 - Keywords: Lifestyle; Smoking; Alcohol drinking; Overweight; Health risk behaviors
 - MeSH: Alcohol Drinking; Dataset; Diabetes Mellitus; Drinking; Employment; Insurance; Korea; Life Style; Myocardial Ischemia; Overweight; Smoke; Smoking Cessation; Smoking; Stroke; Weight Gain
 - From:Korean Journal of Preventive Medicine 2019;52(4):234-241
 - CountryRepublic of Korea
 - Language:English
 - Abstract: OBJECTIVES: To identify simultaneous behavioral changes in alcohol consumption, smoking, and weight using a fixed-effect model and to characterize their associations with disease status. METHODS: This study included 7 000 529 individuals who participated in the national biennial health-screening program every 2 years from 2009 to 2016 and were aged 40 or more. We reconstructed the data into an individual-level panel dataset with 4 waves. We used a fixed-effect model for smoking, heavy alcohol drinking, and overweight. The independent variables were sex, age, lifestyle factors, insurance contribution, employment status, and disease status. RESULTS: Becoming a high-risk drinker and losing weight were associated with initiation or resumption of smoking. Initiation or resumption of smoking and weight gain were associated with non-high-risk drinkers becoming high-risk drinkers. Smoking cessation and becoming a high-risk drinker were associated with normal-weight participants becoming overweight. Participants with newly acquired diabetes mellitus, ischemic heart disease, stroke, and cancer tended to stop smoking, discontinue high-risk drinking, and return to a normal weight. CONCLUSIONS: These results obtained using a large-scale population-based database documented interactions among lifestyle factors over time.
 
            