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Abstract
Disproportionate impact of COVID-19 on socioeconomic and behavioral variables may have impacted the prevalence of diabetes. We utilized nationwide long-term serial study from the 2009 to 2021 Korea Community Health Survey (KCHS). We explored national and regional prevalence and trends of diabetes according to the socioeconomic and behavioral factors before and during the pandemic. Also, we interpreted which groups became more vulnerable to the prevalence of diagnosed diabetes during the pandemic. A total of 2,971,349 adults aged (19 to 39, 40 to 59, and ≥ 60 years) were included in the analysis. The prevalence of diagnosed diabetes increased slowly during the pandemic (11.6% [95% CI 11.5–11.7] in 2020 and 12.4% [95% CI 12.3–12.6] in 2021), compared to the pre-pandemic era (7.9% [95% CI 7.8–7.9] in 2009–2011 and 11.3% [95% CI 11.3–11.4] in 2018–2019). Also, women, low-income group, low-educational group, and infrequent walking group showed less prevalence of diagnosed diabetes than the others. The diabetic population increased slowly than expected during the pandemic. The pandemic seems to contribute to an unanticipated increase in under-diagnosis of diabetes among the already minority. This study may suggest reinforcing access to healthcare services among the minority during the pandemic.
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1 Kyung Hee University College of Medicine, Department of Medicine, Seoul, South Korea (GRID:grid.289247.2) (ISNI:0000 0001 2171 7818)
2 Kyung Hee University College of Medicine, Center for Digital Health, Medical Science Research Institute, Seoul, South Korea (GRID:grid.289247.2) (ISNI:0000 0001 2171 7818); Kyung Hee University, Department of Regulatory Science, Seoul, South Korea (GRID:grid.289247.2) (ISNI:0000 0001 2171 7818)
3 Kyung Hee University College of Medicine, Center for Digital Health, Medical Science Research Institute, Seoul, South Korea (GRID:grid.289247.2) (ISNI:0000 0001 2171 7818); Kyung Hee University School of Medicine, Department of Endocrinology and Metabolism, Seoul, South Korea (GRID:grid.289247.2) (ISNI:0000 0001 2171 7818)
4 Broad Institute of MIT and Harvard, Cardiovascular Disease Initiative, Cambridge, USA (GRID:grid.66859.34)
5 Sungkyunkwan University, School of Pharmacy, Suwon, South Korea (GRID:grid.264381.a) (ISNI:0000 0001 2181 989X)
6 Kyung Hee University, Department of Medical Nutrition, Graduate School of East-West Medical Science, Yongin, South Korea (GRID:grid.289247.2) (ISNI:0000 0001 2171 7818)
7 Sungkyunkwan University School of Medicine, Department of Precision Medicine, Suwon, South Korea (GRID:grid.264381.a) (ISNI:0000 0001 2181 989X)
8 Lorestan University, Department of Physical Education and Sport Sciences, Faculty of Literature and Human Sciences, Khoramabad, Iran (GRID:grid.411406.6) (ISNI:0000 0004 1757 0173); Vali-e-Asr University of Rafsanjan, Department of Physical Education and Sport Sciences, Faculty of Literature and Humanities, Rafsanjan, Iran (GRID:grid.444845.d)
9 Kyung Hee University College of Medicine, Department of Family Medicine, Kyung Hee University Medical Center, Seoul, South Korea (GRID:grid.289247.2) (ISNI:0000 0001 2171 7818)
10 Kyung Hee University College of Medicine, Center for Digital Health, Medical Science Research Institute, Seoul, South Korea (GRID:grid.289247.2) (ISNI:0000 0001 2171 7818); Kyung Hee University, Department of Regulatory Science, Seoul, South Korea (GRID:grid.289247.2) (ISNI:0000 0001 2171 7818); Kyung Hee University College of Medicine, Department of Pediatrics, Kyung Hee University Medical Center, Seoul, South Korea (GRID:grid.289247.2) (ISNI:0000 0001 2171 7818)