Globally, smoking is one of the biggest challenges in public health and is a known cause of several important diseases. Influenza is preventable via annual vaccination, which is the most effective and cost-beneficial method of prevention. However, subjects who smoke have some unhealthy behaviours such as alcohol, low physical activity, and low vaccination rate. In this study, we analyzed the relationship between smoking status and factors potentially related to the influenza vaccination coverage rate in the South Korean adult population.
The study included 13,565 participants aged >19 years, from 2010 to 2012 from the Korea National Health and Nutrition Examination Survey data. Univariate analyses were conducted to examine the association between influenza coverage rate and related factors. Multivariate analysis was obtained after adjusting for variables that were statistically significant.
The overall vaccination rate was 27.3% (n=3,703). Older individuals (P<0.0001), women (P<0.0001), non-smokers (P<0.0001), light alcohol drinkers (P<0.0001), the unemployed (P<0.0001), and subjects with diabetes mellitus (P<0.0001), hypercholesterolemia (P<0.0001), and metabolic syndrome (P<0.0001) had higher influenza vaccination coverage than the others. In multivariate analyses, current smokers and heavy smokers showed lower vaccination rates (odds ratio, 0.734; 95% confidence interval, 0.63–0.854).
In the current study, smokers and individuals with inadequate health-promoting behaviors had lower vaccination rates than the others did.
Citations
American Heart Association (AHA) defined 7 cardiovascular health metrics for the general population to improve cardiovascular health in 2010: not smoking; having normal blood pressure; being physically active; normal body mass index, blood glucose, and total cholesterol levels; and eating a healthy diet. To investigate trends in cardiovascular health metrics in Korea, we used data from the third and fourth Korean National Health and Nutrition Examination Surveys.
We defined seven cardiovascular health metrics similar to the one defined by AHA but physical activity, body mass index, and healthy diet were properly redefined to be suited for the Korean population. We compared each cardiovascular health metric and calculated the sum of cardiovascular health metrics after dichotomizing each health metric to ideal (scored 1) and poor (scored 0).
Health metric scores of smoking in males (P value for trend < 0.001), physical activity both in males and females (P-value for trend < 0.001 both), body mass index in females (P-value for trend = 0.030), and blood pressure both in males and females (P-value for trend < 0.001, both) were improved. On the other hand, health metric scores of healthy diet in males (P-value for trend = 0.002), and fasting blood glucose both in males and females (P-value for trend < 0.001 both) got worse. The total scores of seven health metrics were stationary.
Total scores were not changed but each metric showed various trends. A long-term study is necessary for analyzing exact trends.
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