The aim of this study is to identify the types of gambling among adolescents and provide basic prevention information regarding adolescents’ gambling problems.

Secondary data from representative national survey on 2015 Youth Gambling Problems of Korea Center on Gambling Problems were used. Using latent class analysis (LCA), 13 gambling types such as offline and online games of 14,011 adolescents were classified, and gambling experiences and characteristics were analyzed.

The subgroups of adolescent gambling were identified as four latent classes: a rare group (84.5% of the sample), a risk group (1.0%), an offline group (11.9%), and an expanded group (2.6%). The types and characteristics of gambling among the latent classes differed. In the risk group, adolescents participated in online illegal sports betting and internet casino, and gambling time, gambling expenses, and the number of gambling types were higher than other groups.

Gambling frequently occur among adolescent, and the subtypes of gambling did not reveal homogeneous characteristics. In order to prevent adolescent gambling problems, it is a necessary to develop tailored prevention intervention in the nursing field, which is appropriate to the characteristics of adolescent gambling group and can help with early identification.

This research was done to identify the hospital arrival rate and factors related to prehospital delay in arriving at an emergency medical center within the golden time after symptom onset in patients with acute myocardial infarction (AMI).

Data used in the research was from the National Emergency Department Information System of the National Emergency Medical Center which reported that in 2014, 9,611 patients went to emergency medical centers for acute myocardial infarction. Prehospital time is the time from onset to arrival at an emergency medical center and is analyzed by subdividing arrival and delay based on golden time of 2 hour.

After onset of acute myocardial infarction, arrival rate to emergency medical centers within the golden time was 44.0%(4,233), and factors related to prehospital delay were gender, age, region of residence, symptoms, path to hospital visit, and method of transportation.

Results of this study show that in 2014 more than half of AMI patients arrive at emergency medical centers after the golden time for proper treatment of AMI. In order to reduce prehospital delay, new policy that reflects factors influencing prehospital delay should be developed. Especially, public campaigns and education to provide information on AMI initial symptoms and to enhance utilizing EMS to get to the emergency medical center driectly should be implemented for patients and/or caregivers.

This study was done to investigate factors affecting preparation stage to quit smoking in men.

Based on data from the Community Health Survey conducted in Chungbuk Province in 2008, we estimated rates and odds ratio (OR) of smoking cessation intention for 2,639 men who were current smokers. Multivariate logistic regression analyses were used to identify factors affecting preparation stage to quit smoking.

Among current male smokers, the rate of smoking cessation intention was 17.1%. The OR of factors affecting smoking cessation was as follows: Compared to men with middle school education, the OR for rate of smoking cessation intention in men with high school education was 1.47 (p=.018), and for college or higher, 1.55 (p=.017). Compared to being single, the OR for cohabitation after marriage was 1.61 (p=.011) and living alone after marriage, 2.23 (p=.005). The OR for attempt to quit smoking, exposure to secondhand smoke and participation in smoking education were 6.80 (p<.001), 1.32 (p=.020) and 1.69 (p=.005), respectively.

Results of this study show that it is necessary to decrease exposure to secondhand smoke and to increase participation in smoking cessation education targeting current smokers to move them from precontemplation or contemplation stage to preparation stage.