Are they still determining? Analysis of associations among ethnicity, gender, socioeconomic status, neighborhood factors, and COVID-19 vaccination

Bokyung Kim, Seoyeon Hong, Sungwook Kim

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Introduction: This study explores associations among adult vaccination, ethnicity, gender, and socioeconomic variables such as educational attainment and income, as well as neighborhood factors. Methods: A telephone quota sample of New Jersey adults (N = 1,984) was used to text associations among proposed predictors of vaccination behaviors. Results: Our multivariate logistic regression analyses found that certain races/ethnicity, respondents' household income, and perceived safety of one's community were the strongest predictors of COVID-19 vaccination. The odds of COVID-19 vaccination were 52% lower for Black/African American respondents compared to white/Caucasian respondents (p = 0.001) and 44% lower for Hispanic/Latino respondents compared to white/Caucasian respondents (p = 0.001). Discussion: The results add new insights to public health communication research and suggest careful interventions across racial groups, considering existing racial disparities in vaccination.

Original languageEnglish (US)
Article number1040797
JournalFrontiers in Communication
Volume8
DOIs
StatePublished - 2023

All Science Journal Classification (ASJC) codes

  • Communication
  • Social Sciences (miscellaneous)

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