• 한국치위생학회지
• /
• 제24권1호
• /
• pp.9-16
• /
• 2024

Objectives: The demand for dental care is expected to increase as the population ages. This study aimed to predict the utilization of dental implant care following the expansion of national health insurance benefits for dental implants. Methods: Multiple linear regression analysis was performed on HIRA big data open portal data and DNN-based artificial intelligence models to forecast the utilization of dental care in relation to the national health insurance coverage for dental implants. Results: National health insurance coverage of dental implants was found to be associated with the number of patients using dental implant services and demonstrated a statistical significance. The dental implant services utilization increased with the increased dental implant health insurance benefits for the elderly population, increased mean by region, increased number of dental institutions by region, and increased health insurance coverage rate for dental implants. However, the dental implant services utilization decreased with the increased number of older people living alone and increased size of dental institutions. Conclusions: With the expansion of the national health insurance coverage for dental implants, it is predicted that the utilization of dental implant medical services will increase in the future.

• 대한방사선기술학회지:방사선기술과학
• /
• 제47권2호
• /
• pp.79-86
• /
• 2024

This study was to conducted on the general public living in the Busan area to determine their knowledge and awareness of radiation. A questionnaire written in Google Form was distributed, and 193 questionnaires were analyzed. Independent samples t-test and one-way ANOVA were conducted to verify differences in variables according to the characteristics of the study subjects. Correlation analysis was conducted to determine the relationship between variables. Multiple linear regression analysis was conducted to confirm the correlation between variables. As a result of the study, firstly, The knowledge and awareness of radiation and confidence level of radiological information were found to be high among men and unmarried group. Second, as a result of analysis according to occupation, it was found that students had a positive perception of radiation. Third, the Internet and TV are the most commonly used channels for obtaining information about radiation. Lastly, the thing that has the greatest impact on the awareness of radiation is the reliability of the obtained radiation information. In order to relieve excessive anxiety about radiation and to gain a proper understanding of radiation, the reliability of information about radiation is important. Therefore, it is believed that active efforts are needed to provide accurate information about radiation by utilizing media that are widely used by citizens.

• 한국물환경학회지
• /
• 제40권3호
• /
• pp.121-129
• /
• 2024

Harmful cyanobacterial blooms (HCBs) are caused by the rapid proliferation of cyanobacteria and are believed to be exacerbated by climate change. However, the extent to which HCBs will be stimulated in the future due to increased temperature remains uncertain. This study aims to predict the future occurrence of cyanobacteria in the Nakdong River, which has the highest incidence of HCBs in South Korea, based on temperature rise scenarios. Representative Concentration Pathways (RCPs) were used as the basis for these scenarios. Data-driven model simulations were conducted, and out of the four machine learning techniques tested (multiple linear regression, support vector regressor, decision tree, and random forest), the random forest model was selected for its relatively high prediction accuracy. The random forest model was used to predict the occurrence of cyanobacteria. The results of boxplot and time-series analyses showed that under the worst-case scenario (RCP8.5 (2100)), where temperature increases significantly, cyanobacterial abundance across all study areas was greatly stimulated. The study also found that the frequencies of HCB occurrences exceeding certain thresholds (100,000 and 1,000,000 cells/mL) increased under both the best-case scenario (RCP2.6 (2050)) and worst-case scenario (RCP8.5 (2100)). These findings suggest that the frequency of HCB occurrences surpassing a certain threshold level can serve as a useful diagnostic indicator of vulnerability to temperature increases caused by climate change. Additionally, this study highlights that water bodies currently susceptible to HCBs are likely to become even more vulnerable with climate change compared to those that are currently less susceptible.

• 한국병원경영학회지
• /
• 제28권4호
• /
• pp.23-32
• /
• 2023

Purposes: Caregivers are placed in a poor working environment because there is no special legal basis or definition in the current medical system, and they have difficulty in supplying manpower due to frequent job change and retirement. Therefore, this study aimed to find out the effect on job consciousness, job stress, job satisfaction, and turnover intention of caregivers in nursing hospitals for the elderly. Methodology: In this study, a survey was conducted from May 2nd to 16th, 2022, targeting caregivers with more than 6 months of work experience working at 10 nursing hospitals in D City. Data were collected through convenience sampling, and a self-administered questionnaire method was used, in which subjects filled out a questionnaire. A total of 240 questionnaires were distributed, and 220 copies were considered for the final analysis after excluding non-response or inappropriate questionnaires for data use. Data analysis used t-test, ANOVA, Pearson's correlation coefficient, and multiple linear regression analysis, and the main results are as follows. Findings: Job stress and job satisfaction showed a significant correlation with the level of turnover intention, and were also found to be major determinants. On the other hand, among the occupational characteristics of the study subjects, employment type, job motivation, service period, number of patients, injury experience, and license status showed a significant difference from turnover intention. Conclusion: As a result of the above research, in order to prevent job turnover and retirement by improving job stress and job satisfaction of caregivers engaged in nursing hospitals, it is necessary not only to legalize caregivers, but also to secure an appropriate level of caregivers for nursing hospitals and improve specific treatment for caregivers. Ultimately, a policy alternative that can provide quality nursing service is required.

• 대기
• /
• 제34권2호
• /
• pp.177-185
• /
• 2024

As increasing global interest in renewable energy due to the ongoing climate crisis, there is a growing need for efficient technologies to manage such resources. This study focuses on the predictive skill of daily solar power generation using weather observation and forecast data. Meteorological data from the Korea Meteorological Administration and solar power generation data from the Korea Power Exchange were utilized for the period from January 2017 to May 2023, considering both inland (Daejeon) and coastal (Busan) regions. Temperature, wind speed, relative humidity, and precipitation were selected as relevant meteorological variables for solar power prediction. All data was preprocessed by removing their systematic components to use only their residuals and the residual of solar data were further processed with weighted adjustments for homoscedasticity. Four models, MLR (Multiple Linear Regression), RF (Random Forest), DNN (Deep Neural Network), and RNN (Recurrent Neural Network), were employed for solar power prediction and their performances were evaluated based on predicted values utilizing observed meteorological data (used as a reference), 1-day-ahead forecast data (referred to as fore1), and 2-day-ahead forecast data (fore2). DNN-based prediction model exhibits superior performance in both regions, with RNN performing the least effectively. However, MLR and RF demonstrate competitive performance comparable to DNN. The disparities in the performance of the four different models are less pronounced than anticipated, underscoring the pivotal role of fitting models using residuals. This emphasizes that the utilized preprocessing approach, specifically leveraging residuals, is poised to play a crucial role in the future of solar power generation forecasting.

• Journal of Preventive Medicine and Public Health
• /
• 제57권2호
• /
• pp.138-147
• /
• 2024

Objectives: Fine particulate matter pollution has emerged as a significant life-threatening issue in Thailand. Recognizing the importance of environmental health literacy (EHL) in disease prevention is crucial for protecting public health. This study investigated EHL levels and aimed to identify associated factors among village health volunteers (VHVs) in the upper northern region of Thailand. Methods: A cross-sectional study was conducted to collect data from 710 VHVs using the EHL assessment tool developed by the Department of Health, Thailand. Results: The overall EHL score was moderate (mean, 3.28 out of a possible 5.0), with the highest and lowest domain-specific mean score for the ability to make decisions (3.52) and the ability to access (3.03). Multiple linear regression revealed that the factors associated with EHL score were area of residence (urban areas in Chiang Mai: B=0.254; urban areas in Lampang: B=0.274; and rural areas in Lampang: B=0.250 compared to rural areas in Chiang Mai), higher education levels (senior high school: B=0.212; diploma/high vocational certificate: B=0.350; bachelor's degree or above: B=0.528 compared to elementary school or lower), having annual health checkups compared to not having annual health check-ups (B=0.142), monthly family income (B=0.004), and individuals frequently facing air pollution issues around their residence (B=0.199) compared to those who reported no such issues. Conclusions: The VHVs exhibited moderate EHL associated with residence area, education, health check-ups, family income, and residential air pollution. Considering these factors is vital for enhancing VHVs' EHL through strategic interventions.

• Child Health Nursing Research
• /
• 제30권1호
• /
• pp.7-16
• /
• 2024

Purpose: Children with cerebral palsy (CP) and their parents experience various problems that can affect their quality of life. This study examined factors affecting the quality of life of children with CP. Methods: A cross-sectional study was conducted in Yogyakarta, Indonesia, from January to August 2019. The participants were consecutively recruited children with CP aged 2 to 18 years and their parents. Ninety-eight children with CP and their parents, specifically their mothers, were recruited. Children's health-related quality of life (HRQoL) was measured using the Pediatrics Quality of Life Cerebral Palsy. Parental HRQoL and stress were measured using the WHOQOL-BREF and Parenting Stress Index (PSI). Results: Functional level V was the most common category for both Gross Motor Function Classification System (GMFCS) and Bimanual Fine Motor Function (BFMF) (35% and 28%, respectively). Children's mean HRQoL was medium (49.81±20.35). The mean total PSI score was high (94.93±17.02), and 64% of parents experienced severe stress. Bivariate analysis showed that GMFCS, BFMF, number of comorbidities, presence of pain, and parental stress were significantly correlated with the total score for children's HRQoL (p<.05). Multiple linear regression analysis (p<.05) demonstrated that more severe GMFCS and parental stress were associated with lower mean HRQoL scores in children. Conclusion: Factors including the level of GMFCS and parental stress affected the HRQoL of children with CP. Parental stress management should be included in the comprehensive management of these children.

• 산업과 과학
• /
• 제3권1호
• /
• pp.37-50
• /
• 2024

본 연구는 우간다 루웨로 지역의 젊은 여성들 사이에 성생식보건 지식, 태도, 자기효능감의 관계를 조사했다. 2016년 5월부터 7월까지 루웨로 지역의 여성 82명을 대상으로 설문조사를 실시했으며, 다중 선형 회귀 분석을 통해 자기효능감에 대한 지식과 태도의 예측력을 평가했다. 연구 결과 참가자 중 48.8%가 16-17세였으며, 지식, 태도, 자기효능감 사이에 유의한 상관관계가 있었다. 또한, 지식과 태도는 자기효능감의 59.6%를 설명했으며, 모두 자기효능감을 예측하는 데 유의한 역할을 했다. 연구 결과는 건강한 활동에 참여하는 자기효능감과 여성의 역할과 가치에 대한 긍정적 태도, 청소년기 건강 유지에 대한 지식 간의 관련성을 강조한다. 이를 토대로 향후교육 프로그램은 이러한 요소를 강화하여 우간다의 청소년 임신 및 성생식보건 문제에 대응해야 할 것이다.

• 가정∙방문간호학회지
• /
• 제31권1호
• /
• pp.44-55
• /
• 2024

Purpose: This is a retrospective secondary data analysis study based on real-world data to analyze the level of nursing care needs of patients in a comprehensive nursing care service ward, and identify factors influencing nursing needs. Methods: Study participants included patients admitted to two comprehensive nursing care service wards at a tertiary general hospital located in Gyeonggi-do, Korea. After obtaining permission from the health and medical information team of the target hospital, data were collected from their electronic medical records. Nursing care needs were measured using seven items on nursing activity and four items on daily living activities developed by the National Health Insurance Service (NHIS). The collected data were analyzed using the SPSS version 29.0 with frequency and percentage, mean and standard deviation, minimum and maximum values, t-test, ANOVA, Pearson's correlation coefficients, and multiple linear regression. Results: The level of nursing care needs of patients in comprehensive nursing care service wards was found to be higher for patients with pressure sores (β=.33), older patients (β=.26), patients who underwent procedures (β=.15), patients with present guardians (β=.15), and patients with more comorbidities (β=.10). The total explanatory power was 51.0%. Conclusion: It is necessary to accurately identify patients' nursing care needs and provide nursing care according to priority by considering the characteristics of patients in comprehensive nursing care service wards.

• 복식문화연구
• /
• 제32권3호
• /
• pp.419-437
• /
• 2024

This study analyzed differences in the purchase satisfaction and repurchase intention of customers who buy clothing products from online platforms. The participants were teenage individuals to those in their 50s residing in Busan, Ulsan, and Gyeongsangnam-do. The data were examined via factor analysis, a t-test, Analysis of variance(ANOVA), Duncan's multiple range test, two-way ANOVA, and linear regression analysis. The factors for satisfaction with clothing products from online platforms were wearing comfort and quality, design, and price and purchase convenience. The findings revealed that purchase satisfaction based on these factors significantly varied among the participants depending on marital status, age, and occupation. Satisfaction with wearing comfort, quality, and design differed by gender. Satisfaction with wearing comfort, quality, and price and purchase convenience varied by type of purchase and type of online platforms. The interaction effects among the variables that affected purchase satisfaction were as follows. The interaction effects among the variables for wearing comfort and quality showed significant interactions between gender and type of purchase and between occupation and type of online platforms. Those for design showed significant interactions between marital status and age, between age and occupation, and so on. The interaction effects for price and purchase convenience showed significant interactions between marital status and gender and between age and occupation. The results on repurchase intention showed significant differences in such intention by marital status, age, and occupation. Repurchase intention was influenced by wearing comfort and quality, price and purchase convenience, design, and age.