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Korea Seroprevalence Study of Monitoring of SARS-COV-2 Antibody Retention and Transmission (K-SEROSMART): findings from national representative sample
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Jina Han, Hye Jin Baek, Eunbi Noh, Kyuhyun Yoon, Jung Ae Kim, Sukhyun Ryu, Kay O Lee, No Yai Park, Eunok Jung, Sangil Kim, Hyukmin Lee, Yoo-Sung Hwang, Jaehun Jung, Hun Jae Lee, Sung-il Cho, Sangcheol Oh, Migyeong Kim, Chang-Mo Oh, Byengchul Yu, Young-Seoub Hong, Keonyeop Kim, Sun Jae Jung, Mi Ah Han, Moo-Sik Lee, Jung-Jeung Lee, Young Hwangbo, Hyeon Woo Yim, Yu-Mi Kim, Joongyub Lee, Weon-Young Lee, Jae-Hyun Park, Sungsoo Oh, Heui Sug Jo, Hyeongsu Kim, Gilwon Kang, Hae-Sung Nam, Ju-Hyung Lee, Gyung-Jae Oh, Min-Ho Shin, Soyeon Ryu, Tae-Yoon Hwang, Soon-Woo Park, Sang Kyu Kim, Roma Seol, Ki-Soo Park, Su Young Kim, Jun-wook Kwon, Sung Soon Kim, Byoungguk Kim, June-Woo Lee, Eun Young Jang, Ah-Ra Kim, Jeonghyun Nam, The Korea Community Health Survey Group, Soon Young Lee, Dong-Hyun Kim
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Epidemiol Health. 2023;45:e2023075. Published online August 17, 2023
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DOI: https://doi.org/10.4178/epih.e2023075
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 Abstract
Summary
 PDF Supplementary Material
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Abstract
OBJECTIVES
We estimated the population prevalence of antibodies to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), including unreported infections, through a Korea Seroprevalence Study of Monitoring of SARS-CoV-2 Antibody Retention and Transmission (K-SEROSMART) in 258 communities throughout Korea.
METHODS In August 2022, a survey was conducted among 10,000 household members aged 5 years and older, in households selected through two stage probability random sampling. During face-to-face household interviews, participants self-reported their health status, COVID-19 diagnosis and vaccination history, and general characteristics. Subsequently, participants visited a community health center or medical clinic for blood sampling. Blood samples were analyzed for the presence of antibodies to spike proteins (anti-S) and antibodies to nucleocapsid proteins (anti-N) SARS-CoV-2 proteins using an electrochemiluminescence immunoassay. To estimate the population prevalence, the PROC SURVEYMEANS statistical procedure was employed, with weighting to reflect demographic data from July 2022.
RESULTS In total, 9,945 individuals from 5,041 households were surveyed across 258 communities, representing all basic local governments in Korea. The overall population-adjusted prevalence rates of anti-S and anti-N were 97.6% and 57.1%, respectively. Since the Korea Disease Control and Prevention Agency has reported a cumulative incidence of confirmed cases of 37.8% through July 31, 2022, the proportion of unreported infections among all COVID-19 infection was suggested to be 33.9%.
CONCLUSIONS The K-SEROSMART represents the first nationwide, community-based seroepidemiologic survey of COVID-19, confirming that most individuals possess antibodies to SARS-CoV-2 and that a significant number of unreported cases existed. Furthermore, this study lays the foundation for a surveillance system to continuously monitor transmission at the community level and the response to COVID-19.
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Summary
Korean summary
인구집단을 기반으로 하여 대표성 있는 표본을 추출하여 COVID-19 항체유병률 조사를 전국적으로 수행함으로 지역사회 단위에서 지속적으로 모니터링할 수 있는 COVID-19 감시체계 구축의 기반을 마련하였다.
2022년 8월 우리나라 국민의 대부분이 COVID-19에 대한 항체를 보유하고 있었고 인구 3명 중 1명은 미확진 감염자로 추정되었다.
Key Message
The K-SEROSMART represents the first nationwide, community-based seroepidemiologic survey of COVID-19.
In August 2022, most of the Korean people had antibodies to COVID-19, and one in three people was estimated to have an unreported infection.
This study lays the foundation for a surveillance system to continuously monitor transmission at the community level and the response to COVID-19.
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Citations
Citations to this article as recorded by  - Infection-mediated immune response in SARS-CoV-2 breakthrough infection and implications for next-generation COVID-19 vaccine development
Sho Miyamoto, Tadaki Suzuki
Vaccine.2024; 42(6): 1401. CrossRef - Changes in the intrinsic severity of severe acute respiratory syndrome coronavirus 2 according to the emerging variant: a nationwide study from February 2020 to June 2022, including comparison with vaccinated populations
Boyeong Ryu, Eunjeong Shin, Dong Hwi Kim, HyunJu Lee, So Young Choi, Seong-Sun Kim, Il-Hwan Kim, Eun-Jin Kim, Sangwon Lee, Jaehyun Jeon, Donghyok Kwon, Sungil Cho
BMC Infectious Diseases.2024;[Epub] CrossRef - Seroprevalence of SARS-CoV-2 infection in pediatric patients in a tertiary care hospital setting
Ploy Pattanakitsakul, Chanya Pongpatipat, Chavachol Setthaudom, Mongkol Kunakorn, Thiantip Sahakijpicharn, Anannit Visudtibhan, Nopporn Apiwattanakul, Surapat Assawawiroonhakarn, Uthen Pandee, Chonnamet Techasaensiri, Sophida Boonsathorn, Sujittra Chaisav
PLOS ONE.2024; 19(9): e0310860. CrossRef - Realistic Estimation of COVID-19 Infection by Seroprevalence Surveillance of SARS-CoV-2 Antibodies: An Experience From Korea Metropolitan Area From January to May 2022
In Hwa Jeong, Jong-Hun Kim, Min-Jung Kwon, Jayoung Kim, Hee Jin Huh, Byoungguk Kim, Junewoo Lee, Jeong-hyun Nam, Eun-Suk Kang
Journal of Korean Medical Science.2024;[Epub] CrossRef
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The relationship between poor sleep quality measured by the Pittsburgh Sleep Quality Index and smoking status according to sex and age: an analysis of the 2018 Korean Community Health Survey
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Jun Hyun Hwang, Soon-Woo Park
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Epidemiol Health. 2022;44:e2022022. Published online February 14, 2022
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DOI: https://doi.org/10.4178/epih.e2022022
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13,671
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476
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7
Web of Science
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7
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Abstract
Summary
PDFSupplementary Material
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Abstract
OBJECTIVES
Multiple studies have found that cigarette smokers are more likely to experience sleep disturbances than non-smokers. This study aimed to examine various associations between smoking and sleep quality according to sex and age, which have yet to be sufficiently examined in prior studies.
METHODS Data analysis was conducted using a nationally representative sample of 224,986 Korean adults who participated in the 2018 Korea Community Health Survey. Sleep quality, as the dependent variable, was measured using the Pittsburgh Sleep Quality Index (PSQI), with PSQI scores indicating either good (≤4 points) or poor (>5 points) sleep quality. Multiple logistic regression analysis was performed considering socio-demographic factors, health behaviors, comorbidities, and psychological factors as covariates.
RESULTS The overall weighted prevalence of poor sleep quality was 39.4% (95% confidence interval, 39.1 to 39.7). In the multivariate model that excluded psychological factors, poor sleep quality positively correlated to smoking for both sexes and all age groups except for male aged ≥65 years. However, in the full model that included psychological factors, statistically significant odds ratios (approximately 1.5) for poor sleep quality according to smoking status were only observed for female under 65 years of age.
CONCLUSIONS The relationship between poor sleep quality and smoking status differed according to sex and age. In order to improve the quality of sleep, it is necessary to intervene smoking cessation along with solving psychological problems, especially female in middle age and younger.
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Summary
Korean summary
한국 성인의 39.4%는 수면의 질(피츠버그 수면의 질 지수(PSQI) 기준)이 낮았다. 성별 및 연령에 따라 흡연과 수면의 질 사이의 관련성은 다르게 나타났다. 구체적으로는 65세 이하의 여성에서 흡연은 수면의 질 악화와 관련성이 있었으나, 남성 또는 65세 이상 여성에서는 흡연과 수면의 질 간 유의한 관련성을 보이지 않았다.
Key Message
In order to improve the quality of sleep, it is necessary to intervene smoking cessation along with solving psychological problems, especially female in middle age and younger.
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Citations
Citations to this article as recorded by - Association between consumption of tryptophan with sleep quality in King Saud University students
Nora Alafif
Journal of King Saud University - Science.2024; 36(2): 103046. CrossRef - The Microbiota–Gut–Brain Axis in Metabolic Syndrome and Sleep Disorders: A Systematic Review
Adriano dos Santos, Serena Galiè
Nutrients.2024; 16(3): 390. CrossRef - The association between passive smoking and sleep quality in
a Chinese hypertensive population: A cross-sectional study
Niuniu Sun+, Yang Ni+, Yuqian Deng, Jiale Qi, Zhenjie Yu, Chang Wu, Juan He, Yibo Wu
Tobacco Induced Diseases.2024; 22(February): 1. CrossRef - Network analysis of smoking-related sleep characteristics in Chinese adults
Yuting Xie, Peiyuan Sun, Huang Huang, Jianjun Wu, Yue Ba, Guoyu Zhou, Fangfang Yu, Daming Zhang, Yaqun Zhang, Ranran Qie, Zhuolun Hu, Kaiyong Zou, Yawei Zhang
Annals of Medicine.2024;[Epub] CrossRef - Associations between smoking, sex steroid hormones, trouble sleeping, and depression among U.S. adults: a cross-sectional study from NHANES (2013–2016)
Jing Huang, Peiwen Shi, Yuan Zhao, Huinan Zhang, Tian Gao, Xing Wang
BMC Public Health.2024;[Epub] CrossRef - The Interactions between Smoking and Sleep
Ioanna Grigoriou, Serafeim-Chrysovalantis Kotoulas, Konstantinos Porpodis, Dionysios Spyratos, Ioanna Papagiouvanni, Alexandros Tsantos, Anastasia Michailidou, Constantinos Mourelatos, Christina Mouratidou, Ioannis Alevroudis, Alexandra Marneri, Athanasia
Biomedicines.2024; 12(8): 1765. CrossRef - The associations between working conditions and subjective sleep quality among female migrant care workers
I-Ming Chen, Tzu-Yun Lin, Yi-Ling Chien, Jennifer Yi-Ying Chen, Jen-Hui Chan, Shih-Cheng Liao, Po-Hsiu Kuo, Hsi-Chung Chen
Frontiers in Public Health.2023;[Epub] CrossRef
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