How Has the Home Training Trend Changed before and after the COVID-19 Pandemic?

Kwon, Jaeyoon; Nam, Sang-Back

doi:10.51979/kssls.2022.10.90.279

Cited by 6 publications

(3 citation statements)

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“…Smartphone or tablet PC using has been identified as a new and important variable that influences higher PAEXP, although its influence was not well known in relation to older adults' PAEXP. Smartphone or tablet PC using is an important approach that can promote PAEXP in quarantine conditions, and attention was drawn mainly to home training during the actual COVID-19 period [47]. Before the COVID-19 outbreak, previous studies [71] reported that mHealth and eHealth interventions based on the use of smartphones or tablet PC use increase PAEXP in older adults.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, we used the number of rooms as a measure of household variables. In addition, the demand for home training via wireless devices or internet technology increased during the COVID-19 pandemic when contactless living became the norm [47]. Thus, we measured smartphone or tablet PC using as a technology variable, assuming that older adults' use of wireless devices or Internet technology affected their PAEXP.…”

Section: Measurementmentioning

confidence: 99%

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Factors Influencing Physical Activity and Exercise in Older Adults during COVID-19 in South Korea

Jung

Choi

2023

Sustainability

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Physical activity and exercise participation among older adults have decreased dramatically because of the physical distancing measures implemented to prevent the spread of COVID-19. However, even in the face of unforeseen environmental changes, physical activity and exercise for older adults must be sustainable. This study aimed to identify the influencing physical activity and exercise participation among older adults in 2020 when varying levels of quarantine were in place as a protective measure against the COVID-19 pandemic to build a foundation for sustainable older adult health strategies. We utilized a large-scale dataset from the 2020 National Survey of Older Koreans conducted in 2020. Twenty survey questions were used as predictors, and logistic regression and decision tree analyses were utilized to identify influencing factors. Through a logistic regression analysis, 16 factors influencing exercise participation were identified. Additionally, through a decision tree analysis, 7 factors that influence exercise participation and 8 rules were derived through a combination of these factors. According to the results of this study, the use of ICT technologies, such as ‘smartphone or tablet PC’, can be a useful tool to maintain or promote physical activity and exercise by older adults in a situation like the COVID-19 pandemic. In conclusion, physical activity and exercise intervention strategies should be developed with comprehensive consideration of the influencing factors to ensure that physical activity and exercise among older adults can be sustained uninterrupted in the face of unforeseen circumstances, such as the COVID-19 pandemic.

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Section: Discussionmentioning

confidence: 99%

Section: Measurementmentioning

confidence: 99%

Factors Influencing Physical Activity and Exercise in Older Adults during COVID-19 in South Korea

Jung

Choi

2023

Sustainability

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“…The author noted that the media extensively reported on outdoor activities, such as hiking and camping, which are considered safe against coronavirus transmission, as an alternative to staying at home. In a similar vein, several studies have conducted big data analysis on media news articles to explore the rapidly growing trend of home training in South Korea due to COVID-19 [44][45][46]. Many researchers have raised concerns about the increase in physical inactivity and sedentary lifestyle due to strict COVID-19 quarantines [47][48][49].…”

Section: Big Data Analysis In the Health And Fitness Industrymentioning

confidence: 99%

Analysis of Issues in Fitness Centers through News Articles before and after the COVID-19 Pandemic in South Korea: Applying Big Data Analysis

2023

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This study aimed to identify major topics and trends of media reports in news articles related to fitness centers before and after COVID-19 using big data analysis and to suggest future improvements. We collected 20,528 news articles from 2018 to 2019 (pre-COVID-19) and 20,264 news articles from 2020 to 2021 (post-COVID-19) and conducted frequency analysis, topic modeling, and sentiment analysis. The top keywords related to fitness centers were fitness, health, healthcare, and center both before and after COVID-19, but after the outbreak of COVID-19, new keywords emerged, such as digital, COVID-19, indoor, confirmed, platform, and mobile. Since the COVID-19 pandemic, four topics were extracted: COVID-19 and Exercise, Digital Smart Health Care, Health and Beauty, and Indoor Sports Facilities and Quarantine. Sentiment analysis showed that the frequency of negative words increased by approximately three times since the COVID-19 pandemic. Due to COVID-19, the top keywords of the negative data in order were infection, virus, disease, and limit. Based on the identified major issues and trends related to the fitness industry, these results can be used as foundational data for the future planning and policy development of the fitness industry.

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The Effects of Untact Training on Health Fitness, Lipid Metabolism, and Psychological Factors Across Different Life Stages: A Non-systematic Domestic Review of the Literature

Park,

Son,

Yun

et al. 2024

Asian J Kinesiol

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OBJECTIVES Given the increasing demand for untact home training due to its various advantages, numerous studies have been actively conducted both domestically and internationally to verify the exercise effects of untact home training interventions across different age groups. The purpose of this study is to investigate the effects of untact home training interventions on health fitness, lipid metabolism, and psychological factors throughout the life cycle.METHODS In this study, literature was searched for domestic academic papers published from January 1, 2020, to March 31, 2024, and a total of 35 papers were selected for final analysis. The study examined the subjects, types of exercise, intervention periods, measured factors, and effects, and significant findings were derived based on this analysis.RESULTS The results of the final selected studies indicate that most research measured variables such as health fitness, lipid metabolism, and psychological factors to confirm the effectiveness of untact home training interventions. While the effectiveness scores varied slightly across different variables, it was generally confirmed that positive improvements were observed in the intervention groups following participation in untact home training.CONCLUSIONS Based on these results, it can be concluded that untact home training interventions can have positive effects across various age groups and may serve as foundational data for developing and utilizing untact home training methods suitable for different stages of the life cycle. However, untact home training interventions that do not consider individual differences may not be sufficient to produce effective outcomes across various variables. Therefore, such interventions should be applied carefully, considering the characteristics of the participants. Furthermore, systematic and in-depth clinical comparative studies on this topic are needed in the future.

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How Has the Home Training Trend Changed before and after the COVID-19 Pandemic?

Cited by 6 publications

References 0 publications

Factors Influencing Physical Activity and Exercise in Older Adults during COVID-19 in South Korea

Factors Influencing Physical Activity and Exercise in Older Adults during COVID-19 in South Korea

Analysis of Issues in Fitness Centers through News Articles before and after the COVID-19 Pandemic in South Korea: Applying Big Data Analysis

The Effects of Untact Training on Health Fitness, Lipid Metabolism, and Psychological Factors Across Different Life Stages: A Non-systematic Domestic Review of the Literature

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