Purpose: Although heated tobacco product (HTP) use among adolescents is an emerging public health problem, little is known about the frequency and quantity of HTP use. Thus, we investigated the associations between the frequency and quantity of HTP use and smoking characteristics (i.e., combustible cigarette [CC] and electronic cigarette [EC] use, and attempts to quit smoking) among CC-smoking adolescents. Methods: We analyzed nationally representative data from 2,470 Korean adolescents who were current CC smokers. To investigate our aim, we conducted multinomial logistic and logistic regression analyses. Results: We found that daily and heavier CC users had greater likelihoods of more frequent and heavier HTP use. In addition, dual users of CCs and ECs were more likely to use HTPs more frequently and heavily than CC users who did not use ECs. Moreover, daily EC users had the highest risk of frequent and heavy HTP use. The frequency and quantity of HTP use were not associated with attempts to quit smoking. Compared to CC-only use, dual use of CCs and HTPs was not associated with quitting attempts, and triple use of CCs, ECs, and HTPs was associated with a lower likelihood of quitting attempts. Conclusion HTP use was less likely to displace CC use and promote attempts to quit smoking. Thus, strict regulations are required to prevent the promotion of HTPs as a substitute for CCs or as a means of quitting smoking. Additionally, health professionals should consider preventive interventions for HTP, as well as CC and EC use among adolescents.

Purpose: This study aimed to understand the relationship between cigarette and electronic cigarette (e-cigarette) use and sleep health among Korean adolescents. Methods: Using the 14th Korea Youth Risk Behavior Survey, we included 52,928 adolescents who responded to sleep satisfaction and sleep duration. Participants were classified into four groups: non-users, cigarette-only users, e-cigarette-only users, and dual users of both products. To examine the associations between cigarette and e-cigarette use and sleep health, data were analyzed using complex samples cross tabulation and complex samples logistic regression. Results: Of the four groups, dual users reported the lowest level of sleep satisfaction and sleep duration; 57.0% and 86.9% of dual users were not satisfied with their sleep and have insufficient sleep duration, respectively. The proportion of students who were not satisfied with their sleep was higher among cigarette-only users compared to e-cigarette-only users (52.7% vs. 45.8%), but the two groups reported similar rates of insufficient sleep duration (84.2% vs. 84.3%). Compared to non-users, cigarette-only users, e-cigarette-only users, and dual users were more likely to not be satisfied with sleep (odds ratios [ORs] were 1.49, 1.36, and 1.75, respectively) and had significantly higher odds of experiencing insufficient sleep duration (ORs were 1.85, 2.06, and 2.34, respectively). Conclusion E-cigarette-only use and dual use as well as cigarette-only use were associated with poor sleep health. Therefore, to improve adolescent sleep health, health professionals should provide sleep intervention strategies considering the association between smoking and sleep health.

Purpose: This study aimed to understand the relationship between cigarette and electronic cigarette (e-cigarette) use and sleep health among Korean adolescents. Methods: Using the 14th Korea Youth Risk Behavior Survey, we included 52,928 adolescents who responded to sleep satisfaction and sleep duration. Participants were classified into four groups: non-users, cigarette-only users, e-cigarette-only users, and dual users of both products. To examine the associations between cigarette and e-cigarette use and sleep health, data were analyzed using complex samples cross tabulation and complex samples logistic regression. Results: Of the four groups, dual users reported the lowest level of sleep satisfaction and sleep duration; 57.0% and 86.9% of dual users were not satisfied with their sleep and have insufficient sleep duration, respectively. The proportion of students who were not satisfied with their sleep was higher among cigarette-only users compared to e-cigarette-only users (52.7% vs. 45.8%), but the two groups reported similar rates of insufficient sleep duration (84.2% vs. 84.3%). Compared to non-users, cigarette-only users, e-cigarette-only users, and dual users were more likely to not be satisfied with sleep (odds ratios [ORs] were 1.49, 1.36, and 1.75, respectively) and had significantly higher odds of experiencing insufficient sleep duration (ORs were 1.85, 2.06, and 2.34, respectively). Conclusion E-cigarette-only use and dual use as well as cigarette-only use were associated with poor sleep health. Therefore, to improve adolescent sleep health, health professionals should provide sleep intervention strategies considering the association between smoking and sleep health.

No abstract available.

Purpose: Despite the high drinking rates and the complexity of drinking behaviors in adolescents, insufficient attention has been paid to their drinking patterns. Therefore, we aimed to identify patterns of adolescent drinking behaviors and factors predicting the distinct subgroups of adolescent drinking behaviors. Methods: We analyzed nationally representative secondary data obtained in 2017. Our final sample included 24,417 Korean adolescents who had consumed at least one glass of alcohol in their lifetime. To investigate patterns of drinking behaviors, we conducted a latent class analysis using nine alcohol-related characteristics, including alcohol consumption levels, solitary drinking, timing of drinking initiation, and negative consequences of drinking. Furthermore, we investigated differences in demographics, mental health status, and characteristics of substance use across the latent classes identified in our study. To do so, we used the PROC LCA with COVARIATES statement in the SAS software. Results: We identified three latent classes of drinking behaviors: current non-drinkers (CND), binge drinkers (BD), and problem drinkers (PD). Compared to the CND class, both BD and PD classes were strongly associated with higher academic year, lower academic performance, higher levels of stress, suicidal ideation, lifetime conventional or electronic cigarette use, and lifetime use of other drugs. Conclusion Health professionals should develop and implement intervention strategies targeting individual subgroups of drinking behaviors to obtain better outcomes. In particular, health professionals should consider different characteristics across subgroups of adolescent drinking behaviors when developing the interventions, such as poor mental health status and other substance use among binge and problem drinkers.

Purpose: This study aimed to investigate the influences of teamwork and job burnout on patient safety management activities (PSMA) among operating room nurses. Methods: We collected cross-sectional data from 144 operating room nurses with at least 1 year of clinical experience. Teamwork had five subscales (team structure, leadership, situation monitoring, mutual support, and communication) and burnout had two subscales (exhaustion and disengagement). We used descriptive statistics, t-tests, analysis of variance, Pearson’s correlation coefficients, and multiple linear regression. Results: PSMA had significant positive correlations with all subscales of teamwork and had a significant negative correlation with disengagement. Multiple regression analysis revealed that gender, clinical career in operating room, number of patient safety education, accreditation evaluation experience, team structure, and situation monitoring were associated with PSMA. Specifically, we found significant positive associations of team structure (β=.31, p<.001) and situation monitoring (β=.23, p=.039) with PSMA. Disengagement was not associated with PSMA after adjusting for confounders despite a significant correlation. Conclusion To improve operating room nurses’ PSMA, it is important to improve their awareness of the team structure and their ability to monitor the operating room situation.

PURPOSE: Despite the high drinking rates and the complexity of drinking behaviors in adolescents, insufficient attention has been paid to their drinking patterns. Therefore, we aimed to identify patterns of adolescent drinking behaviors and factors predicting the distinct subgroups of adolescent drinking behaviors.METHODS: We analyzed nationally representative secondary data obtained in 2017. Our final sample included 24,417 Korean adolescents who had consumed at least one glass of alcohol in their lifetime. To investigate patterns of drinking behaviors, we conducted a latent class analysis using nine alcohol-related characteristics, including alcohol consumption levels, solitary drinking, timing of drinking initiation, and negative consequences of drinking. Furthermore, we investigated differences in demographics, mental health status, and characteristics of substance use across the latent classes identified in our study. To do so, we used the PROC LCA with COVARIATES statement in the SAS software.RESULTS: We identified three latent classes of drinking behaviors: current non-drinkers (CND), binge drinkers (BD), and problem drinkers (PD). Compared to the CND class, both BD and PD classes were strongly associated with higher academic year, lower academic performance, higher levels of stress, suicidal ideation, lifetime conventional or electronic cigarette use, and lifetime use of other drugs.CONCLUSION: Health professionals should develop and implement intervention strategies targeting individual subgroups of drinking behaviors to obtain better outcomes. In particular, health professionals should consider different characteristics across subgroups of adolescent drinking behaviors when developing the interventions, such as poor mental health status and other substance use among binge and problem drinkers.
Adolescent ; Alcohol Drinking ; Demography ; Drinking Behavior ; Drinking ; Electronic Cigarettes ; Glass ; Health Occupations ; Humans ; Mental Health ; Republic of Korea ; Suicidal Ideation ; Underage Drinking

PURPOSE: We aimed to identify associations between the frequency of electronic cigarette (e-cigarette) use and smoking-related characteristics among adolescent smokers.METHODS: We used data from the 14th Korea Youth Risk Behavior Survey. The participants were 3,722 smokers who had smoked cigarettes on at least one day during the past 30 days. The frequency of e-cigarette use was defined as the number of days that participants used e-cigarettes during the past 30 days, and was divided into four categories: 0, 1~2, 3~9, and ≥10 days. We used the χ² test and multinomial logistic regression to examine the associations between the frequency of e-cigarette use and smoking-related characteristics.RESULTS: Those who attempted to quit smoking, had used a heated tobacco product (HTP) at least once, or initiated e-cigarette use before middle school were more likely to use e-cigarettes for 3~9 days in the past 30 days. More frequent e-cigarette use (≥10 days) was associated with a higher frequency and greater amount of cigarette use, lifetime HTP use, and earlier initiation of e-cigarette use.CONCLUSION: Smoking-related characteristics differed by the frequency of e-cigarette use. Therefore, intervention programs targeting adolescent smokers should consider differences in smoking-related characteristics based on the frequency of e-cigarette use.
Adolescent ; Electronic Cigarettes ; Hot Temperature ; Humans ; Korea ; Logistic Models ; Risk-Taking ; Smoke ; Smoking ; Tobacco Products

No abstract available.
Nystagmus, Congenital ; Turner Syndrome

No abstract available.
Stroke ; Subclavian Artery