• Health Policy and Management
• /
• v.28 no.2
• /
• pp.119-127
• /
• 2018

Background: This study aimed to examine (1) the patterns of online health information search with respect to seeking and scanning, and (2) how online search, along with eHealth literacy, predicts perceived information usefulness in the context of diet and weight control. Methods: Online survey was conducted with 299 adults from the consumer panel recruited for the purpose of quality assessment of the Korean National Health Information Portal in 2016. We conducted paired sample t-test and multiple logistic regression to address the research questions. Data analysis was performed using IBM SPSS Statistics ver. 24.0 (IBM Corp., Armonk, NY, USA) and SAS ver. 9.3 (SAS Institute Inc., Cary, NC, USA). Results: Of the respondents, 38.8% were 'high seek-high scanners,' 35.8% were 'low seek-low scanners,' 13.0% were 'high seek-low scanners,' and 12.4% were 'low seek-high scanners.' eHealth literacy was a significant, positive predictor of online information scanning (odds ratio [OR], 2.46; 95% confidence interval [CI], 1.41-4.29), but not for online information seeking (OR, 1.75; 95% CI, 1.00-3.05). With respect to perceived usefulness of online information seeking, online seeking (OR, 4.90; 95% CI, 2.19-11.00) and eHealth literacy (OR, 2.30; 95% CI, 1.11-4.75) were significant predictors. Perceived usefulness of online scanning had a significant association with online scanning (OR, 2.38; 95% CI, 1.08-5.22), but not with eHealth literacy. Conclusion: To increase the effectiveness of the health policy for online information search and related outcomes in the context of diet and weight control, it is important to develop education programs promoting eHealth literacy.

• Journal of Digital Convergence
• /
• v.15 no.12
• /
• pp.147-158
• /
• 2017

The purpose of this study is to investigate the determinants of the SNS usage time depending on SNS motive of the youth workers. Although previous studies revealed that there are many motivations for SNS usage, it is not known which factors determine usage time of each SNS motive. In this study, we constructed the unbalanced panel data of the Korean Education & Employment Panel data. Among three different SNS motives such as information exchange, social networking, and fun pursuit, gender, physical health, extraversion, and conscientiousness affected the usage of SNS when the motivation was information exchange. When it was personal connection, the size of organization, education, physical health, subjective happiness, job satisfaction, neuroticism, and agreeableness did. When it was fun & interest, foreign company, status of children, subjective happiness, and job satisfaction did. Based on the findings, we discussed theoretical and practical implications.

• Journal of Korean Academy of Nursing
• /
• v.51 no.1
• /
• pp.68-79
• /
• 2021

Purpose: This study aimed to analyze the mass and social media contents and structures related to particulate matter before and after the policy enforcement of the comprehensive countermeasures for particulate matter, derive nursing implications, and provide a basis for designing health policies. Methods: After crawling online news articles and posts on social networking sites before and after policy enforcement with particulate matter as keywords, we conducted topic and semantic network analysis using TEXTOM, R, and UCINET 6. Results: In topic analysis, behavior tips was the common main topic in both media before and after the policy enforcement. After the policy enforcement, influence on health disappeared from the main topics due to increased reports about reduction measures and government in mass media, whereas influence on health appeared as the main topic in social media. However semantic network analysis confirmed that social media had much number of nodes and links and lower centrality than mass media, leaving substantial information that was not organically connected and unstructured. Conclusion: Understanding of particulate matter policy and implications influence health, as well as gaps in the needs and use of health information, should be integrated with leadership and supports in the nurses' care of vulnerable patients and public health promotion.

• The Journal of the Korea Contents Association
• /
• v.20 no.9
• /
• pp.659-671
• /
• 2020

Severe congenital heart disease (CHD) is a chronic disease requiring continuous and holistic health management to improve patients' quality of life. This study explored the health management experiences of adolescents with severe CHDs in Korea. On the basis of in-depth interviews with nine youths, four categories and 12 subcategories were identified. The participants lacked a full understanding of their health status and the need for appropriate health management for their health status. Nonetheless, they practiced health management to some extent, in ways that were affected by heart function, self-identity, and social support. Although adolescents with severe CHDs were affected by physical limitations and the discriminatory gaze around them, they tried to achieve normalcy through managing information, seeking homogeneity with peers, and fostering positive acceptance about their disease. Regarding demands for health management programs, disease knowledge and mental health content were preferred, and the preferred delivery methods were self-help group camps and smartphone applications. Based on the results of this study, we suggest a health management intervention to promote a healthy transition to adulthood for adolescents with severe CHDs, and that policy-makers should consider measures that would enable a successful transition to adulthood in the future of youth with severe CHDs.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.12
• /
• pp.719-730
• /
• 2020

This study examined the degree and relations of stroke literacy, health literacy, stroke knowledge, and self-management to identify the significant determining factors affecting stroke prevention among middle-aged and older adults with a high incidence of stroke. Data on the sociodemographic characteristics, stroke literacy, health literacy, stroke knowledge, and self-management of 198 participants were collected from December 5, 2019, to March 31, 2020, using a structured questionnaire. The data were analyzed using the SPSS/WIN 23.0 program. The determining factors affecting self-management in middle-aged and older adults were age (β=.190. p=.015), followed in order by smoking (β=-.226, p=.001), self-rated health status (β=.297, p<.001), and stroke knowledge (β=-.168, p=.014); the explanation power was approximately 20.3%. The results suggest that the self-rated health status and stroke knowledge should be considered when developing nursing interventions to improve self-management among middle-aged and older adults. Furthermore, it will be necessary to find the intervening variable between stroke knowledge and self-management for community-dwelling middle-aged and older adults in the community. Overall, these findings underscore the importance of systematic and ongoing education on stroke prevention.

• Korean Journal of Health Education and Promotion
• /
• v.29 no.3
• /
• pp.53-61
• /
• 2012

Objectives: Improving public capability to obtain, understand, and use health information is important for decision-making and communication. This study attempts to measure adults' literacy of the information provided by a public health institution. Factors affecting different health literacy level are also investigated. The relation between public risk perception and health literacy is examined as well. Methods: A total of 800 korean adults were surveyed. To provide the participants health literacy questions, health messages of heavy metals released by KFDA as well as literacy questions developed by NIKL were used. A total of eight questions were developed to measure health literacy. The dimensions of risk perception proposed by Brewer et al.(2008) were modified to measure risk perception. Results: The average percentage of correct answer for all literacy questions was only 65.57%. Individuals at the older age, and with lower education/ income level were more likely to be low literate. In addition, health literacy was strongly associated with risk perception. Conclusions: Public literacy of health information is influenced by socio demographic factors. This study suggested a possibility that low health literacy may affect unrealistically high risk perception. Further studies with sophisticated methodologies to measure health literacy need to be developed.

• Journal of Intelligence and Information Systems
• /
• v.28 no.3
• /
• pp.139-159
• /
• 2022

As interest in health functional foods has increased since COVID-19, the importance of imported food safety inspections is growing. However, in contrast to the annual increase in imports of health functional foods, the budget and manpower required for inspections for import and export are reaching their limit. Hence, the purpose of this study is to propose a machine learning model that efficiently detects unsuitable food suitable for the characteristics of data possessed by government offices on imported food. First, the components of food import/export inspections data that affect the judgment of nonconformity were examined and derived variables were newly created. Second, in order to select features for the machine learning, class imbalance and nonlinearity were considered when performing exploratory analysis on imported food-related data. Third, we try to compare the performance and interpretability of each model by applying various machine learning techniques. In particular, the ensemble model was the best, and it was confirmed that the derived variables and models proposed in this study can be helpful to the system used in import/export inspections.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.5
• /
• pp.91-98
• /
• 2023

This study is an exploratory research on smart healthcare services, specifically focusing on a multi-channel CCR based healthcare service system. The study examines the overview and operational principles of the service system, highlighting the significance of user communication and its role in the system's functionality. Furthermore, the study investigates the impact of service quality on user satisfaction and intention to continue using the service. To achieve this, a structural equation modeling(SEM) analysis was conducted with a sample of 188 users who owned and utilized healthcare devices and apps. The results indicate that service quality dimensions (reliability, responsiveness, empathy, assurance, and tangibility) all had a positive influence on user satisfaction. Additionally, user satisfaction was found to have a significant impact on intention to continue using the service. The findings of this study contribute to exploring the effectiveness and potential value of CCR-based smart healthcare services. It was also provided insights for the future development of smart healthcare systems that offer accurate health information and personalized services for individual health management and prevention.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.19 no.4
• /
• pp.118-129
• /
• 2016

Many epidemiological studies, relying on administrative air pollution monitoring data, have reported the association between particulate matter ($PM_{10}$) air pollution and human health. These monitoring data were collected at a limited number of fixed sites, whereas government-generated health data are aggregated at the area level. To link these two data types for assessing health effects, it is necessary to estimate area-level concentrations of $PM_{10}$. In this study, we estimated district (Gu)-level $PM_{10}$ concentrations using a previously developed pointwise exposure prediction model for $PM_{10}$ and three types of point locations in Seoul, Korea. These points included 16,230 centroids of the largest census output residential areas, 422 community service centers, and 610 centroids on the 1km grid. After creating three types of points, we predicted $PM_{10}$ annual average concentrations at all locations and calculated Gu averages of predicted $PM_{10}$ concentrations as representative Gu-estimates. Then, we compared estimates to each other and to measurements. Prediction-based Gu-level estimates showed higher correlations with measurement-based estimates as prediction locations became more population representative ($R^2=0.06-0.59$). Among the three estimates, grid-based estimates gave lowest correlations compared to the other two(0.35-0.47). This study provides an approach for estimating area-level air pollution concentrations and assesses air pollution health effects using national-scale administrative health data.

• Korean Journal of Psychosomatic Medicine
• /
• v.28 no.2
• /
• pp.168-176
• /
• 2020

Objectives : Loneliness and poor sleep quality are common phenomena in old age and are associated with negative physical and mental health. However, little is known regarding the relation between loneliness and sleep quality. The aim of this study was to examine the association of loneliness and sleep quality among the elderly living alone. Methods : This is a cross-sectional study that enrolled 1,090 subjects who are the community-residing elderly living alone. Sociodemographic status, medical condition, cognition, mood disorder, sleep quality and levels of loneliness were collected using a self-administered questionnaire and a specific semi-structured interview conducted by trained nurses. Descriptive statistics were used to analyze data regarding sociodemographic variable and loneliness. Univariate and Multivariate regression analyses were applied to examine the association between loneliness and sleep quality after adjustment for multiple confounding variables. Results : The Pittsburgh Sleep Quality Index (PSQI) mean score of "lonely group" (9.2±4.2) was significantly higher than that of "not lonely group" (7.3±3.7) (student-t test, p<0.001). Loneliness was significantly associated with PSQI (standardized β=0.065, p=0.025), sleep disturbance (standardized β=0.086, p=0.005), use of sleep medication (standardized β=0.065, p=0.034) after adjustment for possible confounding variables including sex and mood disorder. Conclusions : Loneliness was associated with sleep disturbance and this finding implied negative impact of loneliness on sleep quality of older adults. Public health promotion efforts to reduce loneliness may improve sleep quality and mental health in the elderly living alone.