Gender differences in the intention to get vaccinated against COVID-19: a systematic review and meta-analysis

被引:152
作者
Zintel, Stephanie [1 ]
Flock, Charlotte [1 ]
Arbogast, Anna Lisa [1 ]
Forster, Alice [2 ]
von Wagner, Christian [2 ]
Sieverding, Monika [1 ]
机构
[1] Heidelberg Univ, Dept Psychol, Hauptstr 47-51, D-69117 Heidelberg, Germany
[2] UCL, Res Dept Behav Sci & Hlth, 1-19 Torrington Pl, London WC1E 6BT, England
来源
JOURNAL OF PUBLIC HEALTH-HEIDELBERG | 2023年 / 31卷 / 08期
关键词
Covid-19; Vaccination intention; Gender differences; Health care workers; Systematic review; Meta-analysis; PANDEMIC INFLUENZA; CORONAVIRUS; HESITANCY; COVERAGE; BELIEFS; ORIGIN;
D O I
10.1007/s10389-021-01677-w
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Aim We conducted a systematic review and meta-analysis to analyse gender differences in COVID-19 vaccination intentions. Subject and methods PubMed, Web of Science and PsycInfo were searched (November 2020 to January 2021) for studies reporting absolute frequencies of COVID-19 vaccination intentions by gender. Averaged odds ratios comparing vaccination intentions among men and women were computed. Descriptive analyses of the studies were reported. Results Sixty studies were included in the review and data from 46 studies (n = 141,550) were available for meta-analysis. A majority (58%) of papers reported men to have higher intentions to get vaccinated against COVID-19. Meta-analytic calculations showed that significantly fewer women stated that they would get vaccinated than men, OR 1.41 (95% CI 1.28 to 1.55). This effect was evident in several countries, and the difference was bigger in samples of health care workers than in unspecified general population samples. Conclusion This systematic review and meta-analysis found lower vaccination intentions among women than men. This difference is discussed in the light of recent data on actual vaccination rates in different countries.
引用
收藏
页码:1303 / 1327
页数:25
相关论文
共 92 条
  • [31] Grech Victor, 2020, Early Hum Dev, P105213, DOI 10.1016/j.earlhumdev.2020.105213
  • [32] The intention to be vaccinated against COVID-19: stated preferences before vaccines were available
    Gruner, Sven
    Krueger, Felix
    [J]. APPLIED ECONOMICS LETTERS, 2021, 28 (21) : 1847 - 1851
  • [33] Willingness to get the COVID-19 vaccine with and without emergency use authorization
    Guidry, Jeanine P. D.
    Laestadius, Linnea I.
    Vraga, Emily K.
    Miller, Carrie A.
    Perrin, Paul B.
    Burton, Candace W.
    Ryan, Mark
    Fuemmeler, Bernard F.
    Carlyle, Kellie E.
    [J]. AMERICAN JOURNAL OF INFECTION CONTROL, 2021, 49 (02) : 137 - 142
  • [34] Hacquin A-S, 2020, PSYARXIV, DOI [10.31234/osf.io/r8h6z, DOI 10.31234/OSF.IO/R8H6Z]
  • [35] COVID-19 vaccine coverage in health-care workers in England and effectiveness of BNT162b2 mRNA vaccine against infection (SIREN): a prospective, multicentre, cohort study
    Hall, Victoria Jane
    Foulkes, Sarah
    Saei, Ayoub
    Andrews, Nick
    Oguti, Blanche
    Charlett, Andre
    Wellington, Edgar
    Stowe, Julia
    Gillson, Natalie
    Atti, Ana
    Islam, Jasmin
    Karagiannis, Ioannis
    Munro, Katie
    Khawam, Jameel
    Chand, Meera A.
    Brown, Colin S.
    Ramsay, Mary
    Lopez-Bernal, Jamie
    Hopkins, Susan
    [J]. LANCET, 2021, 397 (10286) : 1725 - 1735
  • [36] Hals T, 2021, FACTBOX COVID 19 US
  • [37] A National Survey Assessing SARS-CoV-2 Vaccination Intentions: Implications for Future Public Health Communication Efforts
    Head, Katharine J.
    Kasting, Monica L.
    Sturm, Lynne A.
    Hartsock, Jane A.
    Zimet, Gregory D.
    [J]. SCIENCE COMMUNICATION, 2020, 42 (05) : 698 - 723
  • [38] Huebner M, 2021, UNTERSCHIEDE COVID 1
  • [39] The Hartung-Knapp-Sidik-Jonkman method for random effects meta-analysis is straightforward and considerably outperforms the standard DerSimonian-Laird method
    IntHout, Joanna
    Ioannidis, John P. A.
    Borm, George F.
    [J]. BMC MEDICAL RESEARCH METHODOLOGY, 2014, 14
  • [40] The Hartung-Knapp modification for random-effects meta-analysis: A useful refinement but are there any residual concerns?
    Jackson, Dan
    Law, Martin
    Ruecker, Gerta
    Schwarzer, Guido
    [J]. STATISTICS IN MEDICINE, 2017, 36 (25) : 3923 - 3934