Differential effect on labor force health initiated by the first wave of the COVID-19 in Taiwan.

Autor:	Yen LC; Department of Microbiology and Immunology, National Defense Medical Center, Taipei, Taiwan, ROC., Su SL; School of Public Health, National Defense Medical Center, Taipei, Taiwan, ROC., Lee MC; School of Public Health, National Defense Medical Center, Taipei, Taiwan, ROC., Jiang CJ; School of Public Health, National Defense Medical Center, Taipei, Taiwan, ROC., Ko PS; School of Public Health, National Defense Medical Center, Taipei, Taiwan, ROC.; Graduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan, ROC., Chuang SW; School of Public Health, National Defense Medical Center, Taipei, Taiwan, ROC.; Graduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan, ROC., Chen YH; School of Public Health, National Defense Medical Center, Taipei, Taiwan, ROC., Su W; Graduate Institute of Aerospace and Undersea Medicine, National Defense Medical Center, Taipei, Taiwan, ROC., Lin SY; School of Public Health, National Defense Medical Center, Taipei, Taiwan, ROC., Cha TL; Graduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan, ROC.; Department of Surgery, Division of Urology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC.; Department of Biochemistry, National Defense Medical Center, Taipei, Taiwan, ROC.
Jazyk:	angličtina
Zdroj:	Medicine [Medicine (Baltimore)] 2024 Nov 08; Vol. 103 (45), pp. e39904.
DOI:	10.1097/MD.0000000000039904
Abstrakt:	The 2019 coronavirus disease pandemic disrupts synchronized lifestyles and influences an individual's health status. However, Taiwan has limited studies on the impact of the epidemic on the health and lifestyle of its citizens. This study aims to investigate the impact on lifestyle and health status during the first wave of 2019 coronavirus disease in Taiwan. The 2008 to 2021 Taiwan Biobank database was adopted in this study, covering 29,572 participants and was designed into 3 time periods, Episodes 1, 2, and 3. The definition of metabolic syndrome (MetS) is based on the strict ministry of health and welfare. Logistic regression model was used to explore related risk factors. Prevalence rates of MetS were 16.5%, 17.0%, and 18.7% during Episodes 1, 2, and 3, respectively. When compared to the pre-pandemic prevalence of MetS, the odds ratios increased by 1.19 [95% confidence intervals (CIs): 1.02-1.38] during the nationwide Level 3 epidemic alert, particularly, in male aged 45 to 64 years old and females aged under 45 years old by 1.56 (95% CI: 1.14-2.13) and 1.89 (95% CI: 1.22-2.92), respectively. During pandemic, sweeping influences on Taiwanese health status, especially in the labor force, may provide a lesson in health promotion policy at a specific age. Competing Interests: The authors have no conflicts of interest to disclose. (Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.)
Databáze:	MEDLINE
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