DOI QR코드

DOI QR Code

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)
  • 투고 : 2018.12.13
  • 심사 : 2019.06.07
  • 발행 : 2019.07.31

초록

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.

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참고문헌

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