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Vaccine X . Social networks and COVID-19 vaccination intention in Dutch middle-aged and older adults in 2020: Insights into individual, interpersona

tetano

Editor, Senior Moderator
Vaccine X


. 2024 Sep 24:20:100562.
doi: 10.1016/j.jvacx.2024.100562. eCollection 2024 Oct. Social networks and COVID-19 vaccination intention in Dutch middle-aged and older adults in 2020: Insights into individual, interpersonal, community, and societal determinants - The SaNAE study

Lisanne C J Steijvers[SUP] 1 2 [/SUP], Céline J A van Bilsen[SUP] 3 4 [/SUP], Stephanie Wagner[SUP] 2 [/SUP], Sarah E Stutterheim[SUP] 1 [/SUP], Rik Crutzen[SUP] 1 [/SUP], Robert A C Ruiter[SUP] 5 [/SUP], Christian J P A Hoebe[SUP] 3 4 6 [/SUP], Nicole H T M Dukers-Muijrers[SUP] 1 3 [/SUP]



Affiliations
Abstract

Background: Social networks, our social relationships, influence the spread of infectious diseases and preventive behaviors such as vaccination. Here, we aimed to assess which individual, interpersonal (social network characteristics), community and societal factors are associated with coronavirus disease 2019 (COVID-19) vaccination intention during the second wave of the COVID-19 pandemic in 2020, prior to vaccine availability.
Methods: This cross-sectional study collected primary data from 5,001 community-dwelling adults aged 40 years and older in the Netherlands, using an online questionnaire from August and November 2020. COVID-19 vaccination intention was measured by assessing whether respondents were willing to receive a COVID-19 vaccination if the vaccines became available. Associations between individual (sociodemographic variables, health, health concerns), interpersonal (social network characteristics including structure, function, and quality), community (social and labor participation) and societal factors (degree of urbanization), and the outcome variables COVID-19 vaccination intention (yes vs no, yes vs unsure, unsure vs no) were assessed in stepwise multivariable logistic regression analyses. p-values < 0.05 indicated statistical significance.
Results: Among participants (N = 3,396), 59 % reported a positive intention to vaccinate, 35 % were unsure, and 6 % had no intention. Men, individuals of older age, those with a college or university degree, those concerned about their personal and family health, and knowledge about protecting oneself from the virus were more likely to have the intention to vaccinate (versus no intention). Interpersonal factors associated included having a larger network size (social network structure) and a larger proportion of informational supporters (social network function). Living outside of urban areas, a societal factor, was associated with vaccination intention (versus no intention).
Conclusion: This study identified key factors influencing COVID-19 vaccination intention. Health promotion efforts should address not only individual factors but also incorporate the social environment. Our findings highlight the importance of organizing social networks to mobilize social support for pandemic preparedness.

Keywords: COVID-19 vaccination intention; Public health promotion; Social networks; Social support.

 
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