Résumé
Background@#Cigarette smoking and physical inactivity are critical risk factors for the prevalence of metabolic syndrome (MetS). This study aimed to investigate the prevalence of MetS and its related factors in adult men based on their physical activity (PA) levels and smoking status. @*Methods@#In this cross-sectional analysis, 5,984 adult men aged 19-64 years were included based on the 7th Korean national health and nutrition examination survey (2016-2018). MetS was diagnosed based on the National Cholesterol Education Program Adult Treatment Panel III criteria, and PA was categorized as light PA (LPA), moderate, and vigorous PA (VPA). We used linear and logistic regression models to analyze the association between PA, MetS, and smoking status. @*Results@#The prevalence of MetS in adult men was 27.8%, with the risk of MetS increasing with smoking and LPA. The risk of MetS significantly reduced by 64.7% in the VPA and quitter groups compared to that in the LPA and smoking groups (odds ratio, 0.353; 95% confidence interval, 0.232-0.539; P=0.001). @*Conclusions@#Our study findings suggest that VPA may be an effective means of reducing the risk of MetS in adult men, while smoking and LPA may increase the risk of MetS.
Résumé
Background@#As a risk factor for diabetes, there are many evidences for physical characteristics and lifestyle habits. There are studies showing that resting heart rate is also related, but evidence is still lacking. Therefore, this study attempted to determine the effect of resting heart rate on diabetes. @*Methods@#The subject of this study was analyzed with 6,622 people who had fasting blood glucose test data out of a total of 7,993 people who participated in the 7th National Health and Nutrition Survey. Fasting blood glucose above 126 mg/dL was defined as a diabetic group and a multiple logistic regression analysis was used. General characteristics, lifestyle and blood chemistry test results were adjusted to investigate the association with diabetes according to the resting heart rate level in the subjects. @*Results@#The risk of diabetes according to the resting heart rate level was 1.434 times in the 2nd quartile, 1.714 times in the 3rd and 1.785 times in the 4th, compared to the 1st quartile. In model 4, except for the 2nd, which was not significant the analysis with all related variables adjusted for the risk rate in the 3rd and 4th order showed that the risk rate increased to 2.364 times and 3.477 times, respectively as the resting heart rate increased. @*Conclusions@#This study shows that high resting heart rate is associated with increased diabetes, and suggests that high heart rate, along with other known risk factors, may be a useful tool in predicting diabetes risk.