J Prev Med Public Health.  2019 Jul;52(4):234-241. 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

Affiliations
  • 1Big Data Steering Department, National Health Insurance Service, Wonju, Korea. yong115@hanmail.net

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.

Keyword

Lifestyle; Smoking; Alcohol drinking; Overweight; Health risk behaviors

MeSH Terms

Alcohol Drinking
Dataset
Diabetes Mellitus
Drinking*
Employment
Insurance
Korea*
Life Style
Myocardial Ischemia
Overweight
Smoke*
Smoking Cessation
Smoking*
Stroke
Weight Gain*
Smoke
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