• Journal of Preventive Medicine and Public Health
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• v.55 no.1
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• pp.60-67
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• 2022

Objectives: This study investigated the determinants of undiagnosed hypertension among Indonesian adults. Methods: This study involved an analysis of secondary data from the 2014 Indonesia Family Life Survey (IFLS) on 5914 Indonesian adults (≥40 years). The determinant variables examined in this cross-sectional study were education level, monthly per capita expenditures (PCE), whether the participant experienced headaches in the morning, and other general health variables. The outcome variable was undiagnosed hypertension, which was defined as participants with hypertension who had not received a hypertension diagnosis from a health professional and had never been prescribed medication for treating hypertension. The data were analyzed using logistic regression. Results: A total of 3322 participants (56.2%) were found to have undiagnosed hypertension. The odds ratios (ORs) and 95% confidence intervals (CIs) of undiagnosed hypertension were significantly higher among those who completed primary school or lower (OR, 1.60; 95% CI, 1.29 to 1.98), had low monthly PCE (OR, 1.28; 95% CI, 1.13 to 1.43), did not report experiencing headaches in the morning (OR, 1.97; 95% CI, 1.76 to 2.21), and reported a general health status of healthy (OR, 2.05; 95% CI, 1.82 to 2.30) than those who had a higher education level, had high monthly PCE, experienced headaches in the morning, and were unhealthy. Conclusions: Education level, monthly PCE, the experience of headaches in the morning, and general health status were associated with undiagnosed hypertension. The monitoring system for detecting undiagnosed hypertension cases must be strengthened. Health promotion is also necessary to reduce the prevalence of undiagnosed hypertension.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.39-46
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• 2022

As the link between traffic accidents and social and economic losses has been confirmed, there is a growing interest in developing safety policies based on crash data and a need for countermeasures to reduce severe crash outcomes such as severe injuries and fatalities. In this study, we select Daejeon city where the relative proportion of fatal crashes is high, as a case study region and focus on the severity of pedestrian crashes. After a series of data manipulation process, we run machine learning algorithms for the optimal model selection and variable identification. Of nine algorithms applied, AdaBoost and Random Forest (ensemble based ones) outperform others in terms of performance metrics. Based on the results, we identify major influential factors (i.e., the age of pedestrian as 70s or 20s, pedestrian crossing) on pedestrian crashes in Daejeon, and suggest them as measures for reducing severe outcomes.

• Journal of Korean Academy of Nursing
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• v.53 no.1
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• pp.129-143
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• 2023

Purpose: This study aimed to examine the mediating effects of clinical nurses' job crafting on organizational effectiveness based on the job demands-resources model proposed by Bakker and Demerouti (2017). Methods: The participants consisted of 393 nurses working in nursing units of a tertiary general hospital located in Cheongju region. The data, collected using questionnaire from August 9 to August 20, 2021, were analyzed using SPSS 23.0 and AMOS 27.0. Results: The goodness-of-fit (GoF) test results on the modified model (χ² = 2.7, GFI = .94, SRMR = .03, RMSEA = .06, NFI = .92, CFI = .94, TLI = .92, AGFI = .90), indicated that the GoF index satisfied the recommended level. Regarding the effects of each variable on organizational effectiveness, job crafting showed statistically significant direct (β = .48, p < .001), indirect (β = .23, p < .001), and total effects (β = .71, p < .001). Burnout showed statistically significant direct effect (β = - .17, p < .001). Work engagement showed statistically significant direct (β = .41, p < .001) and total effects (β = .41, p < .001). The factors explaining organizational effectiveness were job crafting, burnout, and work engagement, which had an explanatory power of 76.7%. Conclusion: Nurses' job crafting is an important mediating factor for enhancing the organizational effectiveness of nursing organizations. Hospitals should develop job-crafting success cases and related education and training programs as a strategy for enhancing the job crafting of nurses and, consequently organizational effectiveness.

• Mycobiology
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• v.51 no.1
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• pp.26-35
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• 2023

The diversity of A mating type in wild strains of Lentinula edodes was extensively analyzed to characterize and utilize them for developing new cultivars. One hundred twenty-three A mating type alleles, including 67 newly discovered alleles, were identified from 106 wild strains collected for the past four decades in Korea. Based on previous studies and current findings, a total of 130 A mating type alleles have been found, 124 of which were discovered from wild strains, indicating the hyper-variability of A mating type alleles of L. edodes. About half of the A mating type alleles in wild strains were found in more than two strains, whereas the other half of the alleles were found in only one strain. About 90% of A mating type combinations in dikaryotic wild strains showed a single occurrence. Geographically, diverse A mating type alleles were intensively located in the central region of the Korean peninsula, whereas only allele A17 was observed throughout Korea. We also found the conservation of the TCCCAC motif in addition to the previously reported motifs, including ATTGT, ACAAT, and GCGGAG, in the intergenic regions of A mating loci. Sequence comparison among some alleles indicated that accumulated mutation and recombination would contribute to the diversification of A mating type alleles in L. edodes. Our data support the rapid evolution of A mating locus in L. edodes, and would help to understand the characteristics of A mating loci of wild strains in Korea and help to utilize them for developing new cultivars.

• Health Policy and Management
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• v.33 no.3
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• pp.273-294
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• 2023

Background: Most developed countries are working to improve their universal health coverage systems. This study investigates regional disparities in unmet healthcare needs and their causes in South Korea. Additionally, it compares the unmet healthcare needs rate in South Korea with that of 33 European countries. Methods: The analysis incorporates information from 13,359 adults aged 19 or older, using data from the Korea Health Panel. The dependent variables encompass the experience of unmet healthcare needs and the three causes of occurrence: "burden of medical expenses," "time constraints," and "lack of care." The primary variable of interest is the region of residence, while control variables encompass 14 socio-demographic, health, and functional characteristics. Multivariable binary logistic regression analysis, accounting for the sampling design, is conducted. Results: The rate of unmet healthcare needs in Korea is 11.7% (95% confidence interval [CI], 11.0%-13.3%), which is approximately 30 times higher than that of Austria (0.4%). The causes of unmet healthcare needs, ranked in descending order, are "lack of care," "time constraints," and "burden of medical expenses." Predictive probabilities for experiencing unmet healthcare needs and each cause differ significantly between regions. For instance, the probability of experiencing unmet healthcare needs due to "lack of care" is approximately 10 times higher in Gangwon-do (13.5%; 95% CI, 13.0%-14.1%) than in Busan (1.3%; 95% CI, 1.3%-1.4%). The probability due to "burden of medical expenses" is approximately 14 times higher in Seoul (4.1%; 95% CI, 3.6%-4.6%) compared to Jeollanam-do (0.3%; 95% CI, 0.2%-0.4%). Conclusion: Amid rapid sociodemographic transitions, South Korea must make significant efforts to alleviate unmet healthcare needs and the associated regional disparities. To effectively achieve this, it is recommended that South Korea involves the National Assembly in healthcare policy-making, while maintaining a centralized financing model and delegating healthcare planning and implementation to regional authorities for their local residents-similar to the approaches of the United Kingdom and France.

• Health Policy and Management
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• v.33 no.1
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• pp.65-74
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• 2023

Background: The government should find ways to improve the effectiveness of the policies to control the incidence and mortality of the infectious disease. The purpose of this study is to find out whether the trust in the government's ability to respond to coronavirus disease 2019 (COVID-19) affects the quarantine and hospitalization rate, incidence and mortality rates of COVID-19 and quarantine rules compliance in each region of Korea. Methods: The subject of this study is 250 regions (si·gun·gu) in Korea, and the 2020 Community Health Survey data from the Korea Disease Control and Prevention Agency (KDCA) was used for the trust in the government's ability to respond to COVID-19, quarantine and hospitalization rate and quarantine rules compliance. For the incidence and mortality of COVID-19 and community factors, data was obtained from KDCA and Korean Statistical Information Service. Path analysis was used to find out the degree of inter-variable influence, and community factors (socio-demographic factors, community health factors, and health behavior factors) were used as control variables. Results: The regional disparity in key variables showed that the late pandemic period cumulative incidence and mortality of COVID-19 were large, while the early pandemic period quarantine and hospitalization rate and quarantine rules compliance were small. Path analysis showed that when community factors were controlled, the trust in government was statistically significant in all of the late pandemic period cumulative incidence (p=0.024) and mortality (p=0.017), and quarantine rules compliance (p=0.011). Conclusion: This study revealed that the higher the trust in the government's ability to respond to COVID-19, the lower the COVID-19 mortality and the higher the quarantine rules compliance at the regional level in Korea. This suggests that when the government implements healthcare policies to control infectious diseases, it is necessary to consider trust to improve policy compliance and control the mortality of the disease and maintain high trust through several effective methods.

• Journal of Forest and Environmental Science
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• v.39 no.2
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• pp.105-117
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• 2023

Climate change and invasive alien plant species (IAPs) are having a significant impact on mountain ecosystems. The combination of climate change and socio-economic development is exacerbating the invasion of IAPs, which are a major threat to biodiversity loss and ecosystem functioning. Species distribution modelling has become an important tool in predicting the invasion or suitability probability under climate change based on occurrence data and environmental variables. MaxEnt modelling was applied to predict the current suitable distribution of most noxious weed A. adenophora (Spreng) R. King and H. Robinson and analysed the changes in distribution with the use of current (year 2000) environmental variables and future (year 2050) climatic scenarios consisting of 3 representative concentration pathways (RCP 2.6, RCP 4.5 and RCP 8.5) in Bhutan. Species occurrence data was collected from the region of interest along the road side using GPS handset. The model performance of both current and future climatic scenario was moderate in performance with mean temperature of wettest quarter being the most important variable that contributed in model fit. The study shows that current climatic condition favours the A. adenophora for its invasion and RCP 2.6 climatic scenario would promote aggression of invasion as compared to RCP 4.5 and RCP 8.5 climatic scenarios. This can lead to characterization of the species as preferring moderate change in climatic conditions to be invasive, while extreme conditions can inhibit its invasiveness. This study can serve as reference point for the conservation and management strategies in control of this species and further research.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.584-588
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• 2021

The impedance of the speaker is likely to be recognized as a fixed value. However, speaker impedance continues to vary with frequency variation, especially larger in resonant frequency region. The sound pressure level of loudspeakers is determined by the current flowing throughout the coil that consists loudspeakers. If loudspeakers are driven by voltage, sound pressure level of the loudspeaker is distorted by the variation of loudspeaker impedance. Current-drive of loudspeakers can solve this problem, but distortion of sound pressure level occurs in low frequencies due to resonance. The distortion can degrade the sound quality of the sound system. So to solve this problem, In this paper, we propose a resonance compensation circuit using DSP. we simulates audio systems using an equivalent model of loudspeakers to verify distortion of sound pressure level due to impedance variation and propose a circuit to compensate it. The proposed circuit is configured using a state variable filter and it can adjust the center frequency and output, so it will be used various sound systems.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.885-896
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• 2023

This study attempted to identify the relationship between nursing students' adjustment to college life, stress, and major satisfaction, and to identify the factors that affect career decision-making self-efficacy. The study included 298 nursing students from two universities in the region, and data collection was conducted from April 24 to May 9, 2023. Results, It showed a significant negative correlation between college adjustment and stress, and it was found that there was a significant positive correlation between major satisfaction and career decision-making self-efficacy. Major satisfaction was the predictor variable that had the greatest impact on career decision-making self-efficacy, and the explanatory power was found to be 44.8%. This shows that nursing students with high self-efficacy are satisfied with their majors and adapt well to university life if they choose nursing studies. Therefore, there is a need to develop various career exploration and career education programs to enhance career decision-making self-efficacy.

• The Korean Journal of Applied Statistics
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• v.36 no.5
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• pp.473-488
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• 2023

Gangwon-do is one of Korea's most popular tourist destinations, with varying tourism demands and trends across its subregions. It is crucial to identify the characteristics of tourism in each area and compare the tourism patterns over time to devise policies that revitalize tourism in each local government and promote balanced development across regions. In this paper, we classify the regions in Gangwon-do based on tourism data from the last four years and analyze the tourism pattern of each region using the non-Euclidean additive model proposed by Jeon et al. (2021). The model incorporates the proportions of visitors by age groups and the proportions of navigation searches by destination types as two covariates, and the proportions of tourism expenditure types as a response variable. We estimate the model using the smooth-backfitting method and coordinate-wise bandwidth selection. The results are visualized in ternary plots, and changes in tourism patterns over time are analyzed by comparing the ratios of prediction errors to fitting errors.