Kim Yeon-Yong, Kang Hee-Jin, Ha Seongjun, Park Jong Heon
Big Data Steering Department, National Health Insurance Service, Wonju, Korea.
J Prev Med Public Health. 2019 Jul;52(4):234-241. doi: 10.3961/jpmph.18.290. Epub 2019 Jul 3.
To identify simultaneous behavioral changes in alcohol consumption, smoking, and weight using a fixed-effect model and to characterize their associations with disease status.
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.
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.
These results obtained using a large-scale population-based database documented interactions among lifestyle factors over time.
使用固定效应模型确定饮酒、吸烟和体重方面的同步行为变化，并描述它们与疾病状态的关联。
本研究纳入了7000529名年龄在40岁及以上的个体，他们在2009年至2016年期间每两年参加一次全国性的两年一次的健康筛查项目。我们将数据重建为一个包含4个时间点的个体层面面板数据集。我们对吸烟、重度饮酒和超重使用固定效应模型。自变量包括性别、年龄、生活方式因素、保险缴费、就业状况和疾病状态。
成为高危饮酒者和体重减轻与开始吸烟或重新吸烟有关。开始吸烟或重新吸烟以及体重增加与非高危饮酒者转变为高危饮酒者有关。戒烟和成为高危饮酒者与体重正常的参与者超重有关。新患糖尿病、缺血性心脏病、中风和癌症的参与者往往会戒烟、停止高危饮酒并恢复正常体重。
这些使用大规模基于人群的数据库获得的结果记录了生活方式因素随时间的相互作用。
