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Impact of smoking on diabetes complications: a secondary analysis of the Korean National Health Insurance Service-health screening cohort (2002–2019)
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Seonmi Yeom, Youngran Yang
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J Korean Acad Nurs 2025;55(2):222-235. Published online April 21, 2025
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DOI: https://doi.org/10.4040/jkan.24109
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Abstract
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- Purpose
This study aimed to examine the effects of smoking on the incidence of macrovascular and microvascular complications in patients with type 2 diabetes.
Methods We analyzed 35,804 patients diagnosed with type 2 diabetes between 2004 and 2017 using the Korean National Health Insurance Service–National Health Screening Cohort (2002–2019). Smoking status was categorized into never, former, and current smoking, with further classification based on duration of smoking and daily smoking amount. We conducted survival analysis using a Cox proportional hazards model.
Results Both former and current smokers had significantly elevated risks of macrovascular complications compared to non-smokers, with hazard ratios (HRs) of 1.60 (95% confidence interval [CI], 1.49–1.66) and 1.10 (95% CI, 1.08–1.17), respectively. Long-term smokers (over 30 years) had significantly higher risks of both macrovascular (HR, 1.35; 95% CI, 1.29–1.42) and microvascular complications (HR, 1.36; 95% CI, 1.30–1.42). Heavy smokers (over 2 packs/day) more frequently developed macrovascular (HR, 1.46; 95% CI, 1.30–1.64) and microvascular (HR, 1.78; 95% CI, 1.60–1.98) complications than never smokers. Notably, former smokers had increased risks of developing neuropathy (HR, 1.40; 95% CI, 1.31–1.49), nephropathy (HR, 1.27; 95% CI, 1.16–1.39), and retinopathy (HR, 1.49; 95% CI, 1.39–1.60).
Conclusion Patients with type 2 diabetes and a history of smoking are at higher risk of developing macrovascular and microvascular complications. Smoking cessation, along with reducing smoking duration and amount, is crucial for lowering these risks.
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Factors Influencing Sexual Experiences in Adolescents Using a Random Forest Model: Secondary Data Analysis of the 2019~2021 Korea Youth Risk Behavior Web-based Survey Data
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Yoonseok Yang, Ju Won Kwon, Youngran Yang
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J Korean Acad Nurs 2024;54(2):193-210. Published online May 31, 2024
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DOI: https://doi.org/10.4040/jkan.23134
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Abstract
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The objective of this study was to develop a predictive model for the sexual experiences of adolescents using the random forest method and to identify the “variable importance.” Methods: The study utilized data from the 2019 to 2021 Korea Youth Risk Behavior Web-based Survey, which included 86,595 man and 80,504 woman participants. The number of independent variables stood at 44. SPSS was used to conduct Rao-Scott χ2 tests and complex sample t-tests. Modeling was performed using the random forest algorithm in Python. Performance evaluation of each model included assessments of precision, recall, F1-score, receiver operating characteristics curve, and area under the curve calculations derived from the confusion matrix. Results The prevalence of sexual experiences initially decreased during the COVID-19 pandemic, but later increased. “Variable importance” for predicting sexual experiences, ranked in the top six, included week and weekday sedentary time and internet usage time, followed by ease of cigarette purchase, age at first alcohol consumption, smoking initiation, breakfast consumption, and difficulty purchasing alcohol. Conclusion Education and support programs for promoting adolescent sexual health, based on the top-ranking important variables, should be integrated with health behavior intervention programs addressing internet usage, smoking, and alcohol consumption. We recommend active utilization of the random forest analysis method to develop high-performance predictive models for effective disease prevention, treatment, and nursing care.
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Citations
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- Gender differences in the associations among adolescent problem behaviors: a secondary data analysis of the 2023 Korea Youth Risk Behavior Survey
Jaeyoung Lee, So Yeon Park Child Health Nursing Research.2025; 31(3): 155. CrossRef
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Moderating the Effects of Health Behaviors on Sexual Intercourse among Adolescents: A CrossSectional Study Using the 2020 Adolescent Health Behavior Survey
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Eunmi Lee, Youngran Yang
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J Korean Acad Nurs 2022;52(5):499-510. Published online October 31, 2022
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DOI: https://doi.org/10.4040/jkan.22080
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Abstract
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This study investigated the association between adolescent health behaviors (drinking, smoking, and drug use) and sexual intercourse, as well as the moderating effects of economic status, cohabitation with parents, and school type, among adolescents in Korea. Methods Secondary data from the 16th Adolescent Health Behavior Survey (2020) were used. A total of 395 schools and 54,948 middle and high school students participated in the study. Complex sample frequency analysis, the Rao–Scott test, and complex sample logistic regression analyses were performed. Results Sexual intercourse rates for men and women were 5.8% and 3.3%, respectively. Approximately 7.3% of high school students and 1.8% of middle school students reported having had sexual relations. Drinking (odds ratio [OR] = 3.15, 95% confidence interval [CI] = 2.82~3.52), smoking (OR = 6.75, 95% CI = 5.90~7.71), and drug use (OR = 3.03, 95% CI = 2.23~4.11) significantly increased the risk of sexual intercourse. Economic status and school type had moderating effects on the association between drinking and sexual intercourse. Conclusion Adolescent drinking, smoking, and drug use are associated with a higher risk of sexual experience. Thus, to reduce this risk, controlling alcohol consumption, smoking, and drug use is necessary. In addition, programs for healthy lifestyles and sexual intercourse should be differentiated according to the school type and the economic conditions of the adolescents’ households.
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Citations to this article as recorded by 
- Public discourse on substance use behavior as a driver of public policy: a scoping review of South Korean academic and official literature
Meekang Sung, Jihye Han, Carrie G. Wade, Vaughan W. Rees Addiction Research & Theory.2025; 33(4): 312. CrossRef
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