Hidehiro Kaneko1, Hidetaka Itoh2, Hiroyuki Kiriyama2, Tatsuya Kamon2, Katsuhito Fujiu3, Kojiro Morita4, Nobuaki Michihata5, Taisuke Jo5, Norifumi Takeda2, Hiroyuki Morita2, Hideo Yasunaga6, Issei Komuro2. 1. The Department of Cardiovascular Medicine, The University of Tokyo, Japan; The Department of Advanced Cardiology, The University of Tokyo, Japan. Electronic address: hidehikaneko-circ@umin.ac.jp. 2. The Department of Cardiovascular Medicine, The University of Tokyo, Japan. 3. The Department of Cardiovascular Medicine, The University of Tokyo, Japan; The Department of Advanced Cardiology, The University of Tokyo, Japan. 4. The Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Japan; The Department of Health Services Research, Faculty of Medicine, University of Tsukuba, Japan. 5. The Department of Health Services Research, The University of Tokyo, Japan. 6. The Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Japan.
Abstract
BACKGROUND AND AIMS: Epidemiological evidence on the relationship between eating behaviors, including breakfast skipping, late night dinner, and bedtime snacking, and cardiovascular disease (CVD) events among the general population is scarce. We sought to explore the association of eating behaviors with subsequent CVD using a nationwide epidemiological database. METHODS AND RESULTS: Medical records of 1,941,125 individuals without prior history of CVD were extracted from the Japan Medical Data Center contracting with more than 60 insurers from multiple regions in Japan, mainly including employed working-age individuals. Skipping breakfast <3 times per week, late night dinner <3 times per week, and bedtime snacking <3 times per week were defined as optimal eating behaviors. Median age was 45 (interquartile range 39-53) years, and 1,138,676 were men. Median follow-up period was 978 (interquartile range 481-1790) days. Among them, 948,805 individuals (48.9%) had optimal eating behaviors, whereas 647,383 individuals (33.4%), 283,017 individuals (14.6%), and 61,920 individuals (3.2%) had single, double, and triple non-optimal eating behaviors, respectively. Individuals with non-optimal eating behaviors were younger and more likely to be men. Obesity and high waist circumference were more commonly observed in those with non-optimal eating behaviors. Multivariable Cox regression analysis showed that, compared with no non-optimal eating behavior, having non-optimal eating behaviors would have higher risk of myocardial infarction, angina pectoris, stroke, and heart failure. However, the dose-response relationship was not clear in the association between the number of non-optimal eating behaviors and incident CVD. Multivariable Cox regression analysis after multiple imputation for missing values also showed the association between non-optimal eating behaviors and incident CVD. CONCLUSIONS: Using a nationwide epidemiological database, we found a possible relationship between eating behaviors including skipping breakfast, late night dinner, and bedtime snacking, and subsequent cardiovascular events among the general population, suggesting the potential importance of maintaining optimal eating behaviors for the primordial and primary CVD prevention in the general population.
BACKGROUND AND AIMS: Epidemiological evidence on the relationship between eating behaviors, including breakfast skipping, late night dinner, and bedtime snacking, and cardiovascular disease (CVD) events among the general population is scarce. We sought to explore the association of eating behaviors with subsequent CVD using a nationwide epidemiological database. METHODS AND RESULTS: Medical records of 1,941,125 individuals without prior history of CVD were extracted from the Japan Medical Data Center contracting with more than 60 insurers from multiple regions in Japan, mainly including employed working-age individuals. Skipping breakfast <3 times per week, late night dinner <3 times per week, and bedtime snacking <3 times per week were defined as optimal eating behaviors. Median age was 45 (interquartile range 39-53) years, and 1,138,676 were men. Median follow-up period was 978 (interquartile range 481-1790) days. Among them, 948,805 individuals (48.9%) had optimal eating behaviors, whereas 647,383 individuals (33.4%), 283,017 individuals (14.6%), and 61,920 individuals (3.2%) had single, double, and triple non-optimal eating behaviors, respectively. Individuals with non-optimal eating behaviors were younger and more likely to be men. Obesity and high waist circumference were more commonly observed in those with non-optimal eating behaviors. Multivariable Cox regression analysis showed that, compared with no non-optimal eating behavior, having non-optimal eating behaviors would have higher risk of myocardial infarction, angina pectoris, stroke, and heart failure. However, the dose-response relationship was not clear in the association between the number of non-optimal eating behaviors and incident CVD. Multivariable Cox regression analysis after multiple imputation for missing values also showed the association between non-optimal eating behaviors and incident CVD. CONCLUSIONS: Using a nationwide epidemiological database, we found a possible relationship between eating behaviors including skipping breakfast, late night dinner, and bedtime snacking, and subsequent cardiovascular events among the general population, suggesting the potential importance of maintaining optimal eating behaviors for the primordial and primary CVD prevention in the general population.