Impact of the COVID-19 Pandemic on the Health Status and Behaviors of Adults in Korea : National Cross-sectional Web-Based Self-report Survey
©EunKyo Kang, Hyejin Lee, Jee Hoon Sohn, Jieun Yun, Jin Yong Lee, Yun-Chul Hong. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 26.11.2021..
BACKGROUND: The COVID-19 pandemic has radically shifted living practices, thereby influencing changes in the health status and behaviors of every person.
OBJECTIVE: The aim of this study was to investigate the impact of COVID-19 on the self-reported health status and health behaviors along with any associated factors in adults in the Republic of Korea wherein no stringent lockdown measures were implemented during the pandemic.
METHODS: We conducted a web-based self-reported survey from November 2020 to December 2020. The study participants (N=2097) were identified through quota sampling by age, sex, and geographical regions among residents aged 19 years or older in Korea. The survey collected information on basic demographics, changes in self-reported health status, and health behaviors during the COVID-19 pandemic. Self-reported health status and health behaviors were categorized into 3 groups: unchanged, improved, or worsened. A chi-square test and logistic regression analyses were conducted.
RESULTS: With regard to changes in the self-reported health status, the majority (1478/2097, 70.5%) of the participants reported that their health was unchanged, while 20% (420/2097) of the participants reported having worser health after the COVID-19 outbreak. With regard to changes in health behaviors, the proportion of participants who increased tobacco consumption was similar to that of those who decreased tobacco consumption (110/545, 20.2% vs 106/545, 19.5%, respectively), while the proportion of those who decreased their drinking frequency was more than twice as many as those who increased their drinking frequency (578/1603, 36.1% vs 270/1603, 16.8%, respectively). Further, those who decreased their exercising frequency were more than those who increased their exercising frequency (333/823, 15.9% vs 211/823, 10%, respectively). The factor that had the greatest influence on lifestyle was age. In the subgroup analysis, the group aged 20-29 years had the highest number of individuals with both a worsened (100/377, 26.5%) and an improved (218/377, 15.7%) health status. Further, individuals aged 20-29 years had greater odds of increased smoking (6.44, 95% CI 2.15-19.32), increased alcohol use (4.64, 95% CI 2.60-8.28), and decreased moderate or higher intensity aerobic exercise (3.39, 95% CI 1.82-6.33) compared to individuals aged 60 years and older. Younger adults showed deteriorated health behaviors, while older adults showed improved health behaviors.
CONCLUSIONS: The health status and the behavior of the majority of the Koreans were not found to be heavily affected by the COVID-19 outbreak. However, in some cases, changes in health status or health behavior were identified. This study highlighted that some groups were overwhelmingly affected by COVID-19 compared to others. Certain groups reported experiencing both worsening and improving health, while other groups reported unchanged health status. Age was the most influential factor for behavior change; in particular, the younger generation's negative health behaviors need more attention in terms of public health. As COVID-19 prolongs, public health interventions for vulnerable groups may be needed.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:7 |
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| Enthalten in: |
JMIR public health and surveillance - 7(2021), 11 vom: 26. Nov., Seite e31635 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Kang, EunKyo [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Completed 03.12.2021 Date Revised 17.12.2021 published: Electronic Citation Status MEDLINE |
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| doi: |
10.2196/31635 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM33193485X |
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| 100 | 1 | |a Kang, EunKyo |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Impact of the COVID-19 Pandemic on the Health Status and Behaviors of Adults in Korea |b National Cross-sectional Web-Based Self-report Survey |
| 264 | 1 | |c 2021 | |
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| 500 | |a Date Completed 03.12.2021 | ||
| 500 | |a Date Revised 17.12.2021 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a ©EunKyo Kang, Hyejin Lee, Jee Hoon Sohn, Jieun Yun, Jin Yong Lee, Yun-Chul Hong. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 26.11.2021. | ||
| 520 | |a BACKGROUND: The COVID-19 pandemic has radically shifted living practices, thereby influencing changes in the health status and behaviors of every person | ||
| 520 | |a OBJECTIVE: The aim of this study was to investigate the impact of COVID-19 on the self-reported health status and health behaviors along with any associated factors in adults in the Republic of Korea wherein no stringent lockdown measures were implemented during the pandemic | ||
| 520 | |a METHODS: We conducted a web-based self-reported survey from November 2020 to December 2020. The study participants (N=2097) were identified through quota sampling by age, sex, and geographical regions among residents aged 19 years or older in Korea. The survey collected information on basic demographics, changes in self-reported health status, and health behaviors during the COVID-19 pandemic. Self-reported health status and health behaviors were categorized into 3 groups: unchanged, improved, or worsened. A chi-square test and logistic regression analyses were conducted | ||
| 520 | |a RESULTS: With regard to changes in the self-reported health status, the majority (1478/2097, 70.5%) of the participants reported that their health was unchanged, while 20% (420/2097) of the participants reported having worser health after the COVID-19 outbreak. With regard to changes in health behaviors, the proportion of participants who increased tobacco consumption was similar to that of those who decreased tobacco consumption (110/545, 20.2% vs 106/545, 19.5%, respectively), while the proportion of those who decreased their drinking frequency was more than twice as many as those who increased their drinking frequency (578/1603, 36.1% vs 270/1603, 16.8%, respectively). Further, those who decreased their exercising frequency were more than those who increased their exercising frequency (333/823, 15.9% vs 211/823, 10%, respectively). The factor that had the greatest influence on lifestyle was age. In the subgroup analysis, the group aged 20-29 years had the highest number of individuals with both a worsened (100/377, 26.5%) and an improved (218/377, 15.7%) health status. Further, individuals aged 20-29 years had greater odds of increased smoking (6.44, 95% CI 2.15-19.32), increased alcohol use (4.64, 95% CI 2.60-8.28), and decreased moderate or higher intensity aerobic exercise (3.39, 95% CI 1.82-6.33) compared to individuals aged 60 years and older. Younger adults showed deteriorated health behaviors, while older adults showed improved health behaviors | ||
| 520 | |a CONCLUSIONS: The health status and the behavior of the majority of the Koreans were not found to be heavily affected by the COVID-19 outbreak. However, in some cases, changes in health status or health behavior were identified. This study highlighted that some groups were overwhelmingly affected by COVID-19 compared to others. Certain groups reported experiencing both worsening and improving health, while other groups reported unchanged health status. Age was the most influential factor for behavior change; in particular, the younger generation's negative health behaviors need more attention in terms of public health. As COVID-19 prolongs, public health interventions for vulnerable groups may be needed | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a COVID-19 | |
| 650 | 4 | |a epidemiology | |
| 650 | 4 | |a health behavior | |
| 650 | 4 | |a health interventions | |
| 650 | 4 | |a health status | |
| 650 | 4 | |a lockdown | |
| 650 | 4 | |a pandemic | |
| 650 | 4 | |a public health | |
| 650 | 4 | |a self-reported online survey | |
| 650 | 4 | |a sociodemographic factors | |
| 700 | 1 | |a Lee, Hyejin |e verfasserin |4 aut | |
| 700 | 1 | |a Sohn, Jee Hoon |e verfasserin |4 aut | |
| 700 | 1 | |a Yun, Jieun |e verfasserin |4 aut | |
| 700 | 1 | |a Lee, Jin Yong |e verfasserin |4 aut | |
| 700 | 1 | |a Hong, Yun-Chul |e verfasserin |4 aut | |
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| 773 | 1 | 8 | |g volume:7 |g year:2021 |g number:11 |g day:26 |g month:11 |g pages:e31635 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.2196/31635 |3 Volltext |
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