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316 result(s) for "Cho, Sung-Il"
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Exploring the association between community-level factors and health literacy using multilevel analysis
Background This study aimed to examine how community-level factors—particularly health resources and social capital—affect health literacy (HL) among residents in South Korea. Methods We used data from the 2021 Community Health Survey and the Korean Community Health Status Indicators, incorporating both individual- and community-level variables. Key predictors of HL were first identified using elastic net regression to address multicollinearity. Subsequently, we applied Multilevel (or Hierarchical) logistic regression models using SAS version 9.4, and accounted for clustering at the community level, to assess the combined influence of individual characteristics and community-level conditions. Results Multilevel analysis showed that individual characteristics including age, gender, income, occupation, and education were significantly associated with HL. Among the health resource variables, greater availability of healthcare professionals per 100,000 people (OR = 0.95, 95% CI = 0.94–0.99) and sports facilities (OR = 0.96, 95% CI = 0.94–0.98) were associated with higher HL. On the other hand, higher rates of unmet medical needs predicted lower HL (OR = 1.02, 95% CI = 1.01–1.04). Social capital indicators, such as mutual aid, religious participation, and social activities were also positively, yet marginally, linked to HL. Conclusions HL is shaped by both personal and community-level factors. Strategies to improve HL should simultaneously combine efforts to expand health infrastructure with measures to reduce social inequalities. Policymakers should prioritize vulnerable populations and strengthen community-based support systems that enhance access to and engagement with health information.
Heated tobacco product use among Korean adolescents
BackgroundHeated tobacco products (HTPs) may compromise decades-long efforts to marginalise the tobacco industry. Their appeal to adolescents imposes a risk of a new tobacco epidemic. Empirical evidence on the behavioural patterns of HTP use among adolescents is required. We investigated the prevalence of HTP use and the association between use of HTPs and e-cigarettes and attempts to quit smoking cigarettes.MethodsNationally representative cross-sectional survey data of South Korean adolescents aged 12–18 years (mean age: 15 years) were used. The survey was conducted 1 year after the introduction of HTPs in Korea. A total of 59 532 adolescents were identified. Descriptive statistics and multiple logistic regression results are presented.ResultsIn all, 2.8% of South Korean adolescents were ever HTP users. Among these, 75.5% were current cigarette users, 45.6% were current e-cigarette users and 40.3% were concurrent users of cigarettes and e-cigarettes. Unlike ever use of e-cigarettes, which was associated with a higher likelihood of cigarette quit attempts (adjusted OR (aOR)=1.35, 95% CI: 1.16 to 1.58), no difference in cigarette quit attempts was found for ever use of HTPs (aOR=1.07, 95% CI: 0.91 to 1.26).ConclusionConsidering the recent introduction of HTPs to the Korean market and less than 1% prevalence of e-cigarette when first introduced, the prevalence of ever HTP use among Korean adolescents is an important concern. The results showing high polytobacco use and the lack of an association between HTP use and cigarette quit attempts call for a ban on HTP advertisements with modified harm claims.
Regional inequalities in excess mortality and its community determinants during the early COVID-19 pandemic in South Korea
BackgroundExcess mortality during the COVID-19 pandemic provides a comprehensive measure of disease burden, and its local variation highlights regional health inequalities. We investigated local excess mortality in 2020 and its determinants at the community level.MethodsWe collected data from 250 districts in South Korea, including monthly all-cause mortality for 2015–2020 and community characteristics from 2019. Excess mortality rate was defined as the difference between observed and expected mortality rates. A Seasonal Autoregressive Integrated Moving Average model was applied to predict the expected rates for each district. Penalized regression methods were used to derive relevant community predictors of excess mortality based on the elastic net.ResultsIn 2020, South Korea exhibited significant variation in excess mortality rates across 250 districts, ranging from no excess deaths in 46 districts to more than 100 excess deaths per 100 000 residents in 30 districts. Economic status or the number of medical centres in the community did not correlate with excess mortality rates. The risk was higher in ageing, remote communities with limited cultural and sports infrastructure, a higher density of welfare facilities, and a higher prevalence of hypertension. Physical distancing policies and active social engagement in voluntary activities protected from excess mortality.ConclusionSubstantial regional disparities in excess mortality existed within South Korea during the early stages of COVID-19 pandemic. Weaker segments of the community were more vulnerable. Local governments should refine their preparedness for future novel infectious disease outbreaks, considering community circumstances.
Use of geographically weighted regression models to inform retail endgame strategies in South Korea: application to cigarette and ENDS prevalence
BackgroundReducing tobacco retailer availability is a key tobacco endgame policy. The development and evaluation of retail-based policies require spatial methodologies. We modelled the prevalence of adult cigarette and electronic nicotine delivery system (ENDS) use according to tobacco retailer density, considering geographical variations.MethodsRegistration data for tobacco retail businesses, a population-representative survey of South Koreans aged ≥19 years, and population and land area data were used. We merged the datasets according to geographical units. Ordinary least squares (OLS) and geographically weighted regression (GWR) analyses were conducted to model cigarette and ENDS use prevalence, respectively.FindingsTobacco retailer density was associated with increased cigarette use prevalence in the OLS model (β=2.19, p=0.02). A 1.9-fold difference by region was identified for the coefficient, indicating an association with tobacco retailer density (minimum 1.39, maximum 2.65), in the GWR analysis. No significant association was present between tobacco retailer density and ENDS prevalence in either the OLS (β=0.24, p=0.37) or the GWR model (minimum 0.20, maximum 0.28).ConclusionOur results suggest the importance of using spatial methods to develop and evaluate retail-based endgame policies. The establishment of tobacco retailer databases by the introduction of licensing is necessary to develop and evaluate the effectiveness of tobacco retailer regulations.
Determinants of the persistence of malaria in Rwanda
Background Malaria has a considerable impact on the health of the populations of developing countries; indeed, the entire population of Rwanda is at risk of contracting the disease. Although various interventions to control malaria have been implemented in Rwanda, the incidence of malaria has increased since 2012. There is an interest in understanding factors driving its persistence in Rwanda. This study aims at evaluating the effect of socio-economic and environmental factors, seasonality and the use of insecticide-treated mosquito nets (ITNs) on malaria persistence in Rwanda. Methods This study analysed data from the 2014–2015 Rwanda Demographic and Health Survey of 11,202 household’s members composed of children under the age of 5 and women aged between 15 and 49. Bivariate analysis was performed between the outcome and each covariate including wealth, altitude, education level, place of residence, and use of ITNs generating percentages. Chi square test was performed to compare malaria negatives and positives on each covariate. Significant variables were subjected to logistic regression analysis to evaluate factors that are significantly associated with malaria at P < 0.05. The analysis was performed in R x64 3.6 and QGIS3.6 was used to map geographical distribution of malaria cases. Results The lowest wealth category was associated with the incidence of malaria [AOR] = 1.54, 95% CI (1.78–2.03). Having a place of residence < 1700 m above sea level (asl) and non-use of ITNs were significantly associated with the incidence of malaria (adjusted odds ratio [AOR] = 2.93, 95% confidence interval [95% CI] 1.94–4.42 and [AOR] = 1.29, 95% C.I (1.03–1.60), respectively). Season and type of residence were not significantly associated with malaria prevalence while women had lower risk of contracting malaria than children. Conclusion Increased malaria prevalence was associated with lower income, non-compliance with bed-net usage and living below 1700 m of altitude. In addition to current malaria control strategies, potential interventions in individuals with lower income and areas at low altitudes should be taken into consideration when formulating malaria-control strategies, Also use of ITNs to control the spread of malaria should be emphasized.
Domain-specific physical activity and depressive symptoms in Korean adults: An isotemporal substitution study using KNHANES data
Although the mental health benefits of physical activity are well-established, they appear more pronounced when engaging in leisure activities rather than work-based efforts. This phenomenon is often referred to as the physical activity paradox. While leisure activity is often linked to reduced likelihood of depression, the influence of occupational physical activity remains less clearly understood, especially during periods of social disruption such as the COVID-19 pandemic. This study analyzed data from 26,454 Korean adults aged 19 years and older who participated in the Korea National Health and Nutrition Examination Survey (KNHANES) in 2014, 2016, 2018, 2020, and 2022. Depressive symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9), and domain-specific physical activity was measured with the Global Physical Activity Questionnaire (GPAQ). Isotemporal substitution modeling examined associations between reallocating 30 minutes of activity among occupational, transport, and leisure domains and depressive symptoms. Subgroup analyses were conducted across three time periods: pre-pandemic (2014-2018), early pandemic (2020), and later pandemic (2022). In the full sample, reallocating 30 min from occupational-type moderate-to-vigorous physical activity (MVPA) to leisure MVPA was associated with lower odds of depressive symptoms (odds ratio [OR]: 0.805, 95% confidence interval [CI:] 0.694-0.934), whereas the reverse substitution was linked to higher odds (OR: 1.242, 95% CI: 1.071-1.441). These associations were statistically significant during the pre-pandemic period but did not reach significance during the early or later pandemic phases. The observed associations between physical activity and depressive symptoms appear to vary by activity type and the social context. The potential mental health benefits of leisure-based activity may be weaker during periods of societal disruption, such as the COVID-19 pandemic. These findings highlight the need for physical activity guidelines that consider both domain-specific patterns and the psychosocial environment in which activity takes place.
Cohort effects of tobacco control policy: evidence to support a tobacco-free norm through smoke-free policy
BackgroundThe prevalence of cigarette smoking among South Korean adolescents has decreased markedly over the past decade, which may indicate a norm shift between generations of adolescents. The present study aims to identify the effect of banning smoking in public places and increasing cigarette prices on current adolescent smoking, and to determine whether these policies additionally resulted in cohort effects.MethodsRepeated cross-sectional survey data, nationally representative of South Korean adolescents, were used. A total of 853 441 adolescents ranging in age from 12 to 18 years (mean age, 15 years) were identified. Models applied were segmented regression model to detect changes in smoking trends and age-period-cohort model to determine the cohort effects on the trends.FindingsBetween 2006 and 2017, smoking decreased from 16% to 9% in boys and from 9% to 3% in girls. After a complete ban on smoking in public places, there were significantly negative trends in the prevalence of smoking for both boys (β=−1.1; 95% CI: −1.9 to −0.2) and girls (β=−0.4; 95% CI: −0.6 to −0.1). Immediate decrease among girls was found after cigarette prices increased (β=−0.8; 95% CI: −1.5 to −0.2). For the cohort effect, the risk of smoking decreased with every consecutive year for boys born after 1998 and girls born after 1997.ConclusionsOur results indicate the presence of cohort effects in the reduction of adolescent smoking. The cohort effect was induced by smoke-free legislation. Research on cohort effects, and methods to denormalise tobacco, will contribute to preventing adolescents from ever trying a cigarette.
Understanding the role of e-cigarette use in smoking cessation based on the stages of change model
We explored the role of e-cigarette use in smoking cessation based on the stages of change (SOC) model, which is a framework for describing the process of smoking cessation. We used nationwide, cross-sectional data on adults (19+ years) from the seventh Korea National Health and Nutrition Examination Survey (KNHANES, 2016-2018) and restricted the participants to 3,929 recent smokers, consisting of current smokers and recent quitters ([less than or equal to]2 years). A multinomial logistic regression analysis was performed to reveal the relationships between e-cigarette use and cigarette quitting behaviors (e.g., current quitting status, past quit attempts, intention to quit, and duration of quitting) and all stages in smoking cessation, with adjustment for sociodemographic and smoking-related factors. E-cigarette use was positively related to past quit attempts, while not having quit, intention to quit, and longer duration of quitting. Based on the cessation stages, current and former e-cigarette users were significantly more likely to be in the 'Precontemplation' and 'Contemplation' stages than never users, while not to be in the 'Preparation' and 'Action' stages. Current users were particularly less likely to be in the 'Maintenance' stage compared to never users. E-cigarette use was closely linked with early-stage behavior than late-stage behavior in the smoking cessation process. E-cigarettes might promote quit attempts and short-term quitting in some smokers, but the negative role of inducing smokers to continue cigarette smoking with no immediate quit-intention for future attempts is dominant in the real world.
Trends in Nationally Notifiable Infectious Diseases in Humans and Animals during COVID-19 Pandemic, South Korea
We investigated trends in notifiable infectious diseases in both humans and animals during the COVID-19 pandemic in South Korea and compared those data against expected trends had nonpharmaceutical interventions (NPIs) not been implemented. We found that human respiratory infectious diseases other than COVID-19 decreased by an average of 54.7% after NPIs were introduced. On the basis of that trend, we estimated that annual medical expenses associated with respiratory infections other than COVID-19 also decreased by 3.8% in 2020 and 18.9% in 2021. However, human gastrointestinal infectious diseases and livestock diseases exhibited similar or even higher incidence rates after NPIs were instituted. Our investigation revealed that the preventive effect of NPIs varied among diseases and that NPIs might have had limited effectiveness in reducing the spread of certain types of infectious diseases. These findings suggest the need for future, novel public health interventions to compensate for such limitations.
Developmental trajectories of tobacco use and risk factors from adolescence to emerging young adulthood: a population-based panel study
Background Adolescence to young adulthood is a critical developmental period that determines lifelong patterns of tobacco use. We examined the longitudinal trajectories of tobacco use, and risk factors for its use, and explored the association between the trajectories of mobile phone dependency and smoking throughout the life-course among adolescents and young adults. Methods Data of 1,723 subjects (853 boys and 870 girls) were obtained from six waves of the Korean Children and Youth Panel Survey (mean age = 13.9–19.9 years). To identify trajectories of smoking and mobile phone dependency, group-based trajectory modelling (GBTM) was conducted. A multinomial logistic regression analysis was performed to identify the characteristics of the trajectory groups. Results GBTM identified four distinct smoking trajectories: never smokers (69.1%), persistent light smokers (8.7%), early established smokers (12.0%), and late escalators (10.3%). Successful school adjustment decreased the risk of being an early established smoker (odds ratio [OR] 0.46, 95% confidence interval [CI] 0.27–0.78). The number of days not supervised by a guardian after school was positively associated with the risk of being an early established smoker (OR 1.96, 95% CI 1.23–3.13). Dependency on mobile phones throughout the life-course was positively associated with the risk of being a persistent light smoker (OR 4.04, 95% CI 1.32–12.34) or early established smoker (OR 8.18, 95% CI 4.04–16.56). Conclusions Based on the group-based modeling approach, we identified four distinctive smoking trajectories and highlight the long-term effects of mobile phone dependency, from early adolescence to young adulthood, on smoking patterns.