Evidence map›Paper›PMID 39629701›Full record

ArticleJMIR public health and surveillance2024

Association Between Sociodemographic Factors and Vaccine Acceptance for Influenza and SARS-CoV-2 in South Korea: Nationwide Cross-Sectional Study.

Seohyun Hong, Yejun Son, Myeongcheol Lee, Jun Hyuk Lee, Jaeyu Park, Hayeon Lee, Elena Dragioti, Guillaume Fond, Laurent Boyer, Guillermo Felipe 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 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Seohyun Hong *Department of Medicine, Kyung Hee University College of Medicine, Seoul, Republic of Korea.ORCID 0009-0005-8111-7773
Yejun Son *Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea, 82 2 6935 2476, 82 504 478 0201.ORCID 0009-0001-3939-2983
Myeongcheol LeeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea, 82 2 6935 2476, 82 504 478 0201.ORCID 0009-0006-7185-9471
Jun Hyuk LeeHealth and Human Science, University of Southern California, Los Angeles, CA, United States.ORCID 0009-0006-0358-4760
Jaeyu ParkCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea, 82 2 6935 2476, 82 504 478 0201.ORCID 0009-0005-2009-386X
Hayeon LeeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea, 82 2 6935 2476, 82 504 478 0201.ORCID 0009-0000-2403-6241
Elena DragiotiResearch Laboratory Psychology of Patients, Families, and Health Professionals, Department of Nursing, School of Health Sciences, University of Ioannina, Ioannina, Greece.ORCID 0000-0001-9019-4125
Guillaume FondCEReSS-Health Service Research and Quality of Life Center, Assistance Publique-Hôpitaux de Marseille, Aix-Marseille University, Marseille, France.ORCID 0000-0003-3249-2030
Laurent BoyerCEReSS-Health Service Research and Quality of Life Center, Assistance Publique-Hôpitaux de Marseille, Aix-Marseille University, Marseille, France.ORCID 0000-0003-1229-6622
Guillermo Felipe López SánchezDivision of Preventive Medicine and Public Health, Department of Public Health Sciences, University of Murcia School of Medicine, Murcia, Spain.ORCID 0000-0002-9897-5273
Lee SmithCentre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, United Kingdom.ORCID 0000-0002-5340-9833
Mark A TullySchool of Medicine, Ulster University, Londonderry, Northern Ireland, United Kingdom.ORCID 0000-0001-9710-4014
Masoud RahmatiCEReSS-Health Service Research and Quality of Life Center, Assistance Publique-Hôpitaux de Marseille, Aix-Marseille University, Marseille, France.ORCID 0000-0003-4792-027X
Yong Sung ChoiDepartment of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0001-9181-7849
Young Joo LeeDepartment of Obstetrics and Gynecology, Kyung Hee University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0001-5294-7368
Seung Geun YeoDepartment of Otolaryngology-Head and Neck Surgery, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0001-8021-1024
Selin WooCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea, 82 2 6935 2476, 82 504 478 0201.ORCID 0000-0001-7961-2074
Dong Keon YonDepartment of Medicine, 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

Background: The imperative arises to study the impact of socioeconomic factors on the acceptance of SARS-CoV-2 and influenza vaccines amid changes in immunization policies during the COVID-19 pandemic. Objective: To enhance targeted public health strategies and improve age-specific policies based on identified risk factors, this study investigated the associations between sociodemographic factors and vaccination behaviors during the COVID-19 pandemic, with emphasis on age-specific vaccine cost policies. Methods: This study analyzed data from the Korean Community Health Survey 2019-2022 with 507,964 participants to investigate the impact of age-specific policies on vaccination behaviors during the pandemic period. Cohorts aged 19-64 years and 65 years or older were stratified based on age (years), sociodemographic factors, and health indicators. The cohorts were investigated to assess the influence of relevant risk factors on vaccine acceptance under the pandemic by using weighted odds ratio and ratio of odds ratio (ROR). Results: Among 507,964 participants, the acceptance of the SARS-CoV-2 vaccine (COVID-19 vaccine) was higher among individuals with factors possibly indicating higher socioeconomic status, such as higher education level (age 19-64 years: ROR 1.34; 95% CI 1.27-1.40 and age ≥65 years: ROR 1.19; 95% CI 1.01-1.41) and higher income (age 19-64 years: ROR 1.67; 95% CI 1.58-1.76 and age ≥65 years: ROR 1.21; 95% CI 1.06-1.38) for both age cohorts compared to influenza vaccine acceptance before the pandemic. In the context of influenza vaccination during the pandemic, the older cohort exhibited vaccine hesitancy associated with health care mobility factors such as lower general health status (ROR 0.89; 95% CI 0.81-0.97). Conclusions: SARS-CoV-2 vaccination strategies should focus on reducing hesitancy among individuals with lower social participation. To improve influenza vaccine acceptance during the pandemic, strategies for the younger cohort should focus on individuals with lower social participation, while efforts for the older cohort should prioritize individuals with limited access to health care services.

Indexed as

COVID-19COVID-19 VaccinesInfluenza, HumanInfluenza VaccinesAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedPatient Acceptance of Health CareRepublic of KoreaSociodemographic FactorsSocioeconomic FactorsVaccination HesitancyCOVID-19 VaccinesInfluenza VaccinesCOVID-19COVID-19 vaccinationCOVID-19 vaccineinfluenzapandemicSARS-CoV-2SARS-CoV-2 vaccinationSARS-CoV-2 vaccineSouth Koreavaccinationvaccinationsvaccinevaccine hesitancy

Identifiers

PMID39629701
PMCPMC11615830

What OpenQuestion holds

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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 OpenQuestion graph.