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Sex-specific impact of the COVID-19 outbreak on the incidence of metabolic syndrome: a comparative study of 2018–2019 and 2020–2021
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Chun, Kyeong-Hyeon | - |
| dc.contributor.author | Kim, Hyun-Jin | - |
| dc.contributor.author | Kang, Dae Ryong | - |
| dc.contributor.author | Kim, Jang Young | - |
| dc.contributor.author | Kim, Wonjin | - |
| dc.contributor.author | Jeong, Yong Whi | - |
| dc.contributor.author | Han, Seung Hwan | - |
| dc.contributor.author | Koh, Kwang Kon | - |
| dc.date.accessioned | 2026-05-09T05:03:49Z | - |
| dc.date.available | 2026-05-09T05:03:49Z | - |
| dc.date.issued | 2025-03 | - |
| dc.identifier.issn | 1226-3303 | - |
| dc.identifier.issn | 2005-6648 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212589 | - |
| dc.description.abstract | Background/Aims: The coronavirus disease 2019 (COVID-19) pandemic has significantly impacted global health, exacerbated metabolic health issues, and altered lifestyle behaviors. This study examined the sex-specific impact of the COVID-19 outbreak on the incidence of metabolic syndrome using data from the Korea National Health and Nutrition Examination Survey (KNHANES). Methods: Data from the KNHANES VII (2018) and VIII (2019–2021), including 15,499 participants, were analyzed. The study population was stratified by sex, and further subdivisions were conducted based on the timeframe relative to the COVID-19 outbreak. Variables such as age, education level, household income, smoking status, and high-risk drinking were analyzed to assess their influence on the prevalence of metabolic syndrome. Results: The overall prevalence of metabolic syndrome significantly increased from 28.11% before the outbreak to 29.69% after the outbreak. Both males and females reported significant increases in waist circumference and fasting glucose levels. Age and education level differentially influenced the prevalence of metabolic syndrome between the sex. Smoking was significantly associated with increased prevalence in males, whereas high-risk drinking was associated with increased prevalence in males and decreased prevalence in females. Conclusions: The COVID-19 pandemic has significantly increased the prevalence of metabolic syndrome with notable sex-specific differences. These findings highlight the need for sex-specific public health interventions to mitigate the impact of the pandemic on metabolic health. | - |
| dc.format.extent | 13 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | 대한내과학회 | - |
| dc.title | Sex-specific impact of the COVID-19 outbreak on the incidence of metabolic syndrome: a comparative study of 2018–2019 and 2020–2021 | - |
| dc.type | Article | - |
| dc.publisher.location | 대한민국 | - |
| dc.identifier.doi | 10.3904/kjim.2024.288 | - |
| dc.identifier.scopusid | 2-s2.0-105001043059 | - |
| dc.identifier.wosid | 001440508000011 | - |
| dc.identifier.bibliographicCitation | The Korean Journal of Internal Medicine, v.40, no.2, pp 262 - 274 | - |
| dc.citation.title | The Korean Journal of Internal Medicine | - |
| dc.citation.volume | 40 | - |
| dc.citation.number | 2 | - |
| dc.citation.startPage | 262 | - |
| dc.citation.endPage | 274 | - |
| dc.type.docType | Article | - |
| dc.identifier.kciid | ART003180651 | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.relation.journalResearchArea | General & Internal Medicine | - |
| dc.relation.journalWebOfScienceCategory | Medicine, General & Internal | - |
| dc.subject.keywordPlus | adult | - |
| dc.subject.keywordPlus | age | - |
| dc.subject.keywordPlus | Article | - |
| dc.subject.keywordPlus | cigarette smoking | - |
| dc.subject.keywordPlus | controlled study | - |
| dc.subject.keywordPlus | coronavirus disease 2019 | - |
| dc.subject.keywordPlus | cross-sectional study | - |
| dc.subject.keywordPlus | data analysis | - |
| dc.subject.keywordPlus | disease association | - |
| dc.subject.keywordPlus | drinking behavior | - |
| dc.subject.keywordPlus | educational status | - |
| dc.subject.keywordPlus | epidemic | - |
| dc.subject.keywordPlus | female | - |
| dc.subject.keywordPlus | gender | - |
| dc.subject.keywordPlus | glucose level | - |
| dc.subject.keywordPlus | health status | - |
| dc.subject.keywordPlus | health survey | - |
| dc.subject.keywordPlus | high risk population | - |
| dc.subject.keywordPlus | household income | - |
| dc.subject.keywordPlus | human | - |
| dc.subject.keywordPlus | incidence | - |
| dc.subject.keywordPlus | major clinical study | - |
| dc.subject.keywordPlus | male | - |
| dc.subject.keywordPlus | metabolic syndrome X | - |
| dc.subject.keywordPlus | middle aged | - |
| dc.subject.keywordPlus | pandemic | - |
| dc.subject.keywordPlus | prevalence | - |
| dc.subject.keywordPlus | public health service | - |
| dc.subject.keywordPlus | risk assessment | - |
| dc.subject.keywordPlus | sex difference | - |
| dc.subject.keywordPlus | time factor | - |
| dc.subject.keywordPlus | waist circumference | - |
| dc.subject.keywordPlus | aged | - |
| dc.subject.keywordPlus | comparative study | - |
| dc.subject.keywordPlus | diagnosis | - |
| dc.subject.keywordPlus | epidemiology | - |
| dc.subject.keywordPlus | incidence | - |
| dc.subject.keywordPlus | nutrition | - |
| dc.subject.keywordPlus | risk factor | - |
| dc.subject.keywordPlus | Severe acute respiratory syndrome coronavirus 2 | - |
| dc.subject.keywordPlus | sex factor | - |
| dc.subject.keywordPlus | South Korea | - |
| dc.subject.keywordPlus | young adult | - |
| dc.subject.keywordAuthor | COVID-19 | - |
| dc.subject.keywordAuthor | Metabolic syndrome | - |
| dc.subject.keywordAuthor | Pandemic | - |
| dc.subject.keywordAuthor | Risk factors | - |
| dc.subject.keywordAuthor | Sex factors | - |
| dc.identifier.url | https://kjim.org/journal/view.php?doi=10.3904/kjim.2024.288 | - |
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