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http://dx.doi.org/10.3961/jpmph.18.290

Interactions of Behavioral Changes in Smoking, High-risk Drinking, and Weight Gain in a Population of 7.2 Million in Korea  

Kim, Yeon-Yong (Big Data Steering Department, National Health Insurance Service)
Kang, Hee-Jin (Big Data Steering Department, National Health Insurance Service)
Ha, Seongjun (Big Data Steering Department, National Health Insurance Service)
Park, Jong Heon (Big Data Steering Department, National Health Insurance Service)
Publication Information
Journal of Preventive Medicine and Public Health / v.52, no.4, 2019 , pp. 234-241 More about this Journal
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.
Keywords
Lifestyle; Smoking; Alcohol drinking; Overweight; Health risk behaviors;
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