Smoking Cessation Failure Among Korean Adolescents

Cigarette Smoking in South Korea: A Narrative Review

Although the prevalence of cigarette smoking has declined in Western countries over the past few decades, a comparable decline among males has not been observed in Asian countries, especially in South Korea, where approximately 40%–50% of men and 4%–8% of women have been identified as smokers, and there is a pressing need to understand the background of cigarette smoking in these populations. The present study is a narrative review of the research literature on cigarette smoking in South Korea. First, we describe the social, economic, and cultural factors that impact cigarette smoking in South Korea. The paper also reviews the available peer-reviewed literature comprising observational studies and interventional studies, including randomized controlled trials. The extant literature on smoking in Korean Americans is also reviewed. Cigarette smoking in South Korea has been relatively understudied, and this review identifies priority areas for future research, including the use of mobile interventions.

Sex Differences in Multilevel Factors of Smoking Experimentation and Age of Initiation in Korean Adolescents

This study purpose was to investigate sex differences in multilevel factors associated with smoking experimentation and age of initiation among Korean adolescents. Based on the ecological model, this cross-sectional study used data from the 2016 Korea Youth Risk Behavior Web-Based Survey (N = 65,528). Among 33,803 males (51.6%) and 31,725 females (48.4%), a greater proportion of males (21.9%) than females (7.1%) engaged in smoking experimentation. Males started smoking earlier than females (males: 12.7 years, females: 12.9 years, respectively, p < .05). In both sex groups, common factors associated with smoking were age, depression, suicidal ideation, academic achievement, household economic status, and having friends smoking and a specific person to talk with about their personal concern (all p values <.05). There were significant sex differences in psychological, family, and school factors of smoking initiation and experimentation. It is necessary to develop smoking interventions considering both individual and environmental factors with sex-specific strategies.

Three-month effects of Project EX: A smoking intervention pilot program with Korean adolescents

Despite current prevention and cessation efforts, adolescent smoking remains a pressing issue worldwide, including in Korea. The current study evaluates Project EX-Korea, a teen tobacco use cessation program, three months after baseline. The quasi-experimental trial intervention involved 160 smokers in 10th to 12th grade, 85 from the program condition schools and 75 from the control. At three-month follow-up, the intent-to-treat (ITT) quit rate in the program group (30.2%) was 3.6 times that of the rate in the standard care control group (9.2%; p < 0.05). Among those who did not quit, those in the program group smoked less on average than those in the control group, but there was no difference in follow-up mFTQ scores between the two non-quitter groups. As teen tobacco use cessation programming is much needed in Korea, Project EX is a plausible program to implement among Korean adolescents.

•

Teen tobacco use cessation programming is still much needed in Korea and worldwide.

•

Project EX is a credible tobacco cessation program to help Korean adolescents quit.

•

The program group's quit rate was 3.6 times that of the control group's quit rate.

•

Non-quitters in the program group smoked less than those in the control group.

Development of a Just-in-Time Adaptive Intervention for Smoking Cessation Among Korean American Emerging Adults

PURPOSE

Cigarette smoking is a preventable risk factor that contributes to unnecessary lung cancer burden among Korean Americans and there is limited research on effective smoking cessation strategies for this population. Smartphone-based smoking cessation apps that leverage just-in-time adaptive interventions (JITAIs) hold promise for smokers attempting to quit. However, little is known about how to develop and tailor a smoking cessation JITAI for Korean American emerging adult (KAEA) smokers.

METHOD

This paper documents the development process of MyQuit USC according to design guidelines for JITAI. Our development process builds on findings from a prior ecological momentary assessment study by using qualitative research methods. Semi-structured interviews and a focus group were conducted to inform which intervention options to offer and the decision rules that dictate their delivery.

RESULTS

Qualitative findings highlighted that (1) smoking episodes are highly context-driven and that (2) KAEA smokers believe they need personalized cessation strategies tailored to different contexts. Thus, MyQuit USC operates via decision rules that guide the delivery of personalized implementation intentions, which are contingent on dynamic factors, to be delivered "just in time" at user-scheduled, high-risk smoking situations.

CONCLUSION

Through an iterative design process, informed by quantitative and qualitative formative research, we developed a smoking cessation JITAI tailored specifically for KAEA smokers. Further testing is under way to optimize future versions of the app with the most effective intervention strategies and decision rules. MyQuit USC has the potential to provide cessation support in real-world settings, when KAEAs need them the most.

Applying of Decision Tree Analysis to Risk Factors Associated with Pressure Ulcers in Long-Term Care Facilities

OBJECTIVES

The purpose of this study was to use decision tree analysis to explore the factors associated with pressure ulcers (PUs) among elderly people admitted to Korean long-term care facilities.

METHODS

The data were extracted from the 2014 National Inpatient Sample (NIS)-data of Health Insurance Review and Assessment Service (HIRA). A MapReduce-based program was implemented to join and filter 5 tables of the NIS. The outcome predicted by the decision tree model was the prevalence of PUs as defined by the Korean Standard Classification of Disease-7 (KCD-7; code L89^*). Using R 3.3.1, a decision tree was generated with the finalized 15,856 cases and 830 variables.

RESULTS

The decision tree displayed 15 subgroups with 8 variables showing 0.804 accuracy, 0.820 sensitivity, and 0.787 specificity. The most significant primary predictor of PUs was length of stay less than 0.5 day. Other predictors were the presence of an infectious wound dressing, followed by having diagnoses numbering less than 3.5 and the presence of a simple dressing. Among diagnoses, "injuries to the hip and thigh" was the top predictor ranking 5th overall. Total hospital cost exceeding 2,200,000 Korean won (US $2,000) rounded out the top 7.

CONCLUSIONS

These results support previous studies that showed length of stay, comorbidity, and total hospital cost were associated with PUs. Moreover, wound dressings were commonly used to treat PUs. They also show that machine learning, such as a decision tree, could effectively predict PUs using big data.