Evidence map›Paper›PMID 39078683›Full record

ArticleJMIR public health and surveillance2024

National and Regional Trends in the Prevalence of Hypertension in South Korea Amid the Pandemic, 2009-2022: Nationwide Study of Over 3 Million Individuals.

Hyeri Lee, Minji Kim, Selin Woo, Jaeyu Park, Hyeon Jin Kim, Rosie Kwon, Ai Koyanagi, Lee Smith, Min Seo Kim, Guillermo F López Sánchez and 8 more

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Hyeri Lee *Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea.ORCID 0009-0009-3132-1062
Minji Kim *Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0003-0293-0570
Selin WooCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0001-7961-2074
Jaeyu ParkCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea.ORCID 0009-0005-2009-386X
Hyeon Jin KimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0003-1286-4669
Rosie KwonCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0001-5422-4446
Ai KoyanagiResearch and Development Unit, Parc Sanitari Sant Joan de Deu, Barcelona, Spain.ORCID 0000-0002-9565-5004
Lee SmithCentre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, United Kingdom.ORCID 0000-0002-5340-9833
Min Seo KimCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, United States.ORCID 0000-0003-2115-7835
Guillermo F López SánchezDivision of Preventive Medicine and Public Health, Department of Public Health Sciences, School of Medicine, University of Murcia, Murcia, Spain.ORCID 0000-0002-9897-5273
Elena DragiotiPain and Rehabilitation Centre, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.ORCID 0000-0001-9019-4125
Jinseok LeeDepartment of Biomedical Engineering, Kyung Hee University, Yongin, Republic of Korea.ORCID 0000-0002-8580-490X
Hayeon LeeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea.ORCID 0009-0000-2403-6241
Masoud RahmatiDepartment of Physical Education and Sport Sciences, Faculty of Literature and Humanities, Vali-E-Asr University of Rafsanjan, Rafsanjan, Iran.ORCID 0000-0003-4792-027X
Sang Youl RheeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0003-0119-5818
Jun Hyuk LeeHealth and Human Science, University of Southern California, Los Angeles, CA, United States.ORCID 0009-0006-0358-4760
Ho Geol WooDepartment of Neurology, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0001-6489-0100
Dong Keon YonCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0003-1628-9948

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding the association between hypertension prevalence and socioeconomic and behavioral variables during a pandemic is essential, and this analysis should extend beyond short-term trends.

objectiveThis study aims to examine long-term trends in the prevalence of participants diagnosed with and receiving treatment for hypertension, using data collected by a nationally representative survey from 2009 to 2022, which includes the COVID-19 pandemic era.

methodsA nationwide, population-based, cross-sectional study used data collected from the South Korea Community Health Survey between 2009 and 2022. The study sample comprised 3,208,710 Korean adults over a period of 14 years. We aimed to assess trends in the prevalence of participants diagnosed with and receiving treatment for hypertension in the national population from 2009 to 2022, with a specific focus on the COVID-19 pandemic, using weighted linear regression models.

resultsAmong the included 3,072,546 Korean adults, 794,239 (25.85%) were aged 19-39 years, 1,179,388 (38.38%) were aged 40-59 years; 948,097 (30.86%) were aged 60-79 years, and 150,822 (4.91%) were aged 80 years or older. A total of 1,426,379 (46.42%) were men; 761,896 (24.80%) and 712,264 (23.18%) were diagnosed with and received treatment for hypertension, respectively. Although the overall prevalence over the 14-year period increased, the upward trends of patients diagnosed with and receiving treatment for hypertension decreased during the COVID-19 pandemic era compared with the prepandemic era (β difference for trend during vs before the pandemic -.101, 95% CI -0.107 to -0.094 vs -.133, 95% CI -0.140 to -0.127). Notably, the trends in prevalence during the pandemic were less pronounced in subgroups of older adults (≥60 years old) and individuals with higher alcohol consumption (≥5 days/month).

conclusionsThis nationwide representative study found that the national prevalence of participants diagnosed with and receiving treatment for hypertension increased during the prepandemic era. However, there was a marked decrease in these trends during the prepandemic era, compared with the pandemic era, particularly among specific subgroups at increased risk of negative outcomes. Future studies are needed to evaluate the factors associated with changes in the prevalence of hypertension during the COVID-19 pandemic.

Indexed as

COVID-19HypertensionAdultAgedCross-Sectional StudiesFemaleHealth SurveysHumansMaleMiddle AgedPandemicsPrevalenceRepublic of KoreaYoung AdultCOVID-19cross-sectional studyhigh blood pressureHPNhypertensionKoreanational trendsnationwide studypandemicparticipantpopulation basedprevalenceregional trendssocioeconomictreatmenttrends

Identifiers

PMID39078683
PMCPMC11322715

What Socratic holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.