• Journal of Oriental Neuropsychiatry
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• v.32 no.2
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• pp.95-109
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• 2021

Objectives: The coronavirus disease 2019 (COVID-19) has become a global pandemic. Mental sequelae occurring in patients with COVID-19 and the general population are important concerns. In Korea, herbal medicine is used nationwide to respond to this pandemic. It can be prescribed by COVID-19 telemedicine center of Korean medicine (KM). Among some herbal medicines, Gamiguibi-tang is the only herbal medicine prescribed for individuals with mental health, especially for those with insomnia. In this mini-review, the objective of this study was to summarize the evidence of some promising herbal medicines available for treating primary insomnia based on existing clinical and preclinical studies. Methods: A research team was formed for KM clinical practice guidelines for insomnia (version 1.0). Team members were provided with a list of references of relevant herbal medicines for insomnia. To gather evidence from clinical studies with appropriate sample sizes, among the list of references, randomized controlled trials for primary insomnia that included 50 subjects or more per arm and used herbal medicine were included in the final analysis. Moreover, pre-clinical studies examining the mechanism of action of each herbal medicine and studies on herb-drug interactions, were searched and summarized. Results: Four herbal medicines (Ondam-tang, Sanjoin-tang, Guibi-tang, and Hyeolbuchugeo-tang) were reviewed based on existing clinical and preclinical studies. Based on findings of existing studies, some suggestions of herbal medicines for insomnia in the COVID-19 era in Korea were suggested. Conclusions: Data of this study could be used to prepare a future revision of the manual of COVID-19 telemedicine center of KM.

• The Korean Journal of Pain
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• v.35 no.2
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• pp.209-223
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• 2022

Background: The coronavirus disease 2019 (COVID-19) pandemic has caused significant changes. This study aimed to investigate the impact of COVID-19 on patients with chronic pain. Methods: Patients with chronic pain from 23 university hospitals in South Korea participated in this study. The anonymous survey questionnaire consisted of 25 questions regarding the following: demographic data, diagnosis, hospital visit frequency, exercise duration, time outside, sleep duration, weight change, nervousness and anxiety, depression, interest or pleasure, fatigue, daily life difficulties, and self-harm thoughts. Depression severity was evaluated using the Patient Health Questionnaire-9 (PHQ-9). Logistic regression analysis was used to investigate the relationship between increased pain and patient factors. Results: A total of 914 patients completed the survey, 35.9% of whom had decreased their number of visits to the hospital, mostly due to COVID-19. The pain level of 200 patients has worsened since the COVID-19 outbreak, which was more prominent in complex regional pain syndrome (CRPS). Noticeable post-COVID-19 changes such as exercise duration, time spent outside, sleep patterns, mood, and weight affected patients with chronic pain. Depression severity was more significant in patients with CRPS. The total PHQ-9 average score of patients with CRPS was 15.5, corresponding to major depressive orders. The patients' decreased exercise duration, decreased sleep duration, and increased depression were significantly associated with increased pain. Conclusions: COVID-19 has caused several changes in patients with chronic pain. During the pandemic, decreased exercise and sleep duration and increased depression were associated with patients' increasing pain.

• Nutrition Research and Practice
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• v.15 no.sup1
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• pp.110-121
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• 2021

BACKGROUND/OBJECTIVES: Coronavirus disease 2019 (COVID-19) cases were first reported in December 2019, in China, and an increasing number of cases have since been detected all over the world. The purpose of this study was to collect significant news media reports on food services during the COVID-19 crisis and identify public communication and significant concerns regarding COVID-19 for suggesting future directions for the food industry and services. SUBJECTS/METHODS: News articles pertaining to food services were extracted from the home pages of major news media websites such as BBC, CNN, and Fox News between March 2020 and February 2021. The retrieved data was sorted and analyzed using Python software. RESULTS: The results of text analytics were presented in the format of the topic label and category for individual topics. The food and health category presented the effects of the COVID-19 pandemic on food and health, such as an increase in delivery services. The policy category was indicative of a change in government policy. The lifestyle change category addressed topics such as an increase in social media usage. CONCLUSIONS: This study is the first to analyze major news media (i.e., BBC, CNN, and Fox News) data related to food services in the context of the COVID-19 pandemic. Text analytics research on the food services domain revealed different categories such as food and health, policy, and lifestyle change. Therefore, this study contributes to the body of knowledge on food services research, through the use of text analytics to elicit findings from media sources.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.417-432
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• 2022

This study was conducted to investigate the effects of covid-19 pandemic on mother's child-rearing style and provide information on mother-rearing. The significance of regression coefficients was verified to investigate the factors affecting warm parenting and control parenting, and the effect of separation and individualization on warm parenting (β=-).40, p <.001). Moreover, covid infection has a positive effect on controlled child care (β=.21, p=.002), and separation has a significant effect on controlled child care (β=-26, p<.001). Based on the results of these studies, we can see that the strong belief in mother-rearing and the separation and individualization of healthy children have a great impact on child growth.

• Journal of the Korea Fashion and Costume Design Association
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• v.24 no.3
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• pp.1-15
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• 2022

The purpose of this study is to compare and analyze the perception of men's fashion before and after the COVID-19 pandemic. TEXTOM allowed the collection of Big Data based on the term 'men's fashion'. As for the data collection periods, Jan. 1, 2018 to Dec. 31, 2019 was set as the pre-COVID-19 era, while Jan. 1, 2020 to Dec. 31, 2021 was set as the post-COVID-19 era. The top 50 words in terms of appearance frequency were extracted from the data. The extracted words were processed using network centrality analysis and CONCOR analysis using Ucinet 6. Research findings were as follows. 1) In the pre-COVID-19 era, the appearance frequency of 'men' was the highest, followed by 'fashion', 'men's fashion', 'brand', 'daily look', 'suit', and 'department store'. These words came up with a high TF-IDF values. Network centrality analysis discovered that 'men', 'fashion', 'men's fashion', 'brand', and 'suit' had a high level of connectivity with other words. CONCOR analysis showed four significant groups: 'fashion item and styles', 'fashion show', 'purchase', and 'collection'. 2) In the post-COVID-19 era, the appearance frequency of 'men' was the highest, followed by 'fashion', 'brand', 'men's fashion', 'discount', 'women', and 'luxury'. These words also displayed high TF-IDF values. Network centrality analysis found that 'fashion', 'men', 'brand', 'men's fashion', and 'discount' had a high level of connectivity with other words. CONCOR analysis showed four significant groups: 'fashion item and style', 'fashion show', 'purchase', and 'situation'. 3) Before the outbreak of the pandemic, men were interested in suits to wear to the office, daily look, and fashion shows in Milan and Paris. They often purchased menswear in multi-brand and open stores. However, they were more interested in sneakers, casual styles, and online fashion shows as social distancing and working from home became common. Most purchased menswear through online platforms.

• The Journal of Korean Academic Society of Nursing Education
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• v.28 no.4
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• pp.444-455
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• 2022

Purpose: This study explored the meaning of the social perceptions of nurses in online news articles during the coronavirus disease 2019 (COVID-19) pandemic. Methods: A total of 339 nurse-related articles published in Korean online newspapers from January 1 to December 31, 2020, were extracted by entering various combinations of OR and AND with the four words "Corona," "COVID," "Nursing," and "Nurse" as search keywords using BIGKinds, a news database provided by the Korea Press Foundation. The collected data were analyzed with a keyword network analysis and topic modeling using NetMiner 4. Results: The top keywords extracted from the nurse-related news articles were, in the following order, "metropolitan area," "protective clothing," "government," "task," and "admission." Four topics representing keywords were identified: "encouragement for dedicated nurses," "poor work environment," "front-line nurses working with obligation during the COVID-19 pandemic," and "nurses' efforts to prevent the spread of COVID-19." Conclusion: The media's attention to the dedication of nurses, the shortage of nursing resources, and the need for government support is encouraging in that it forms the public opinion necessary to lead to substantial improvements in treating nurses. The nursing community should actively promote policy proposals to improve treatment toward nurses by utilizing the net function of the media and proactively seek and apply strategies to improve the image of nurses working in various fields.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.62-70
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• 2021

2020 was a year in which the world spent in disorder due to the pandemic of Coronavirus infection-19(COVID-19). The pandemic was at the beginning of a turning point in history. For examples, the Black Death(Pest) that destroyed the feudal system of medieval Europe in the 14th century, smallpox that led to the destruction of the Inca Empire by Spain in the 17th century, and the Spanish flu that ended World War I early. The great transformation that will come after COVID-19 is presented from various fields and perspectives, but the understanding and direction of the transformation is ambiguous. This study attempts to derive and to analyze core terms based on a network of the future of globalization after COVID-19. Four Networks related to globalization, anti-globalization, and globalization and digitalization after COVID-19 were established respectively. A network integrating four networks was also constructed. The core terms were extracted from the hub nodes, the stress centrality, and the simplified network to which the K-core algorithm was applied. After COVID-19, the changes in globalization were analyzed from the extracted core terms. This study is thought to be meaningful to propose a method of deriving and analyzing core terms based on a network in understanding social changes after COVID-19.

• Knowledge Management Research
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• v.22 no.2
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• pp.145-165
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• 2021

As of late December 2019, the spread of COVID-19 pandemic began which put the entire world in panic. In order to overcome the crisis and minimize any subsequent damage, the government as well as its affiliated institutions must maximize effects of pre-existing policy support and introduce a holistic response plan that can reflect this changing situation- which is why it is crucial to analyze social topics and people's interests. This study investigates people's major thoughts, attitudes and topics surrounding COVID-19 pandemic through the use of social media and big data. In order to collect public opinion, this study segmented time period according to government countermeasures. All data were collected through NAVER blog from 31 December 2019 to 12 December 2020. This research applied TF-IDF keyword extraction and LDA topic modeling as text-mining techniques. As a result, eight major issues related to COVID-19 have been derived, and based on these keywords, this research presented policy strategies. The significance of this study is that it provides a baseline data for Korean government authorities in providing appropriate countermeasures that can satisfy needs of people in the midst of COVID-19 pandemic.

• The Journal of the Korea Contents Association
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• v.22 no.6
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• pp.319-328
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• 2022

The purpose of this study was to investigate the relationship between depression due to the COVID-19 pandemic and park use behaviors using on line posts. During the period of the pandemic prevention activities, text data containing both 'park' and 'depression' were collected from blogs and cafes in the search engine of Naver and Daum, then analyzed using Text Mining and Social Network techniques. As a result, the main usage behaviors of park users who mentioned depression were 'look', 'stroll(walk)' and 'eat'. Other types of behaviors were connected centering around 'look', one of the communication behaviors. Also, from CONCOR analysis, as the cluster referred from communication behavior and dynamic behavior was formed as a single behavior type, it was considered park users with depression perceived the park as the space for communication and physical activities. As the spread of COVID-19 caused the restriction of communication activities, the users might consider parks as one of the solutions. In addition, it was considered that passive usage behaviors have prevailed rather than active ones due to the depression. Resulting outcomes would be useful to plan helpful urban park for citizens. It is necessary to further analyze the park use behavior of users in relation to the period of before/after the COVID-19 pandemic and the existence/nonexistence of depression.

• Journal of Nutrition and Health
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• v.56 no.3
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• pp.288-299
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• 2023

Purpose: This study aimed to assess the weight fluctuations in college students during the coronavirus disease 2019 (COVID-19) pandemic and identify lifestyle and dietary changes related to weight gain. Methods: An online survey was conducted on 270 college students from September 22 to October 26, 2021. A logistic regression analysis was performed to analyze the relationship of weight gain with the general characteristics, lifestyle, and dietary changes of the students. Results: Among the respondents, 42.9% of men and 44.7% of women reported weight gain. The main reasons given for weight gain were reduced activities due to restrictions during lockdown and diet changes, mainly relating to delivered or fast foods. Among the general characteristics and lifestyle factors poor perceived health (odds ratio [OR], 3.97, 95% confidence interval [CI], 1.98-7.96) and being underweight (OR, 0.19, 95% CI, 0.05-0.83) were significantly associated with weight gain. With respect to the diet, increased frequency of eating breakfasts (OR, 4.44, 95% CI, 1.76-11.21), decreased frequency of eating snacks (OR, 0.35, 95% CI, 0.16-0.77), decreased frequency of fruit intake (OR, 3.0, 95% CI, 1.32-6.80), increased frequency of carbonated and sweetened beverage intake (OR, 2.74, 95% CI, 1.26-5.99) and increased frequency of fast food consumption (OR, 2.32, 95% CI, 1.14-4.70) were significantly associated with weight gain. Conclusion: The COVID-19 pandemic affected weight gain and caused lifestyle and dietary changes. Specific health and nutrition management plans should be prepared for handling future epidemics of infectious diseases based on the results of surveys conducted on larger sample size.