Lama Y, Budenz A, Gaysynsky A, Iles IA, Sylvia Chou WY. Factors Associated With COVID-19 Behavioral Intentions: Findings From an Online Survey.
Am J Health Promot 2022;
36:1183-1192. [PMID:
35459412 PMCID:
PMC9095995 DOI:
10.1177/08901171221093036]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Purpose
The COVID-19 pandemic provides a novel context through which to evaluate salient factors for promoting behavioral change. We examined how attitudes, perceived community behaviors, and prior related behaviors predict intentions to (1) receive COVID-19 vaccination and (2) practice social distancing.
Design
Cross-sectional online survey administered through Amazon’s Mechanical Turk in September 2020.
Subjects
A convenience sample of US adults (N = 1804).
Measures
COVID-19 vaccination and social distancing intentions were measured on a 7-point Likert scale. Predictor variables included general vaccination and social distancing attitudes, perceived community mask-wearing, prior influenza vaccination, prior social distancing, and socio-demographics.
Analysis
Descriptive statistics and linear regressions.
Results
Thirty percent of respondents reported a strong willingness to receive COVID-19 vaccination, while 67% strongly intended to engage in social distancing. In regression analyses, vaccination intention was predicted by positive vaccine attitudes (b = .84; 95%CI: .78, .90; P < .001), prior influenza vaccination (b = −.47; 95%CI: −.63, −.32; P < .001), and perceived community mask-wearing (b = −.28; 95%CI: −.56, −.01; P=.049). Intention to practice social distancing was predicted by positive attitudes (b = .65; 95%CI: .61, .69; P < .001), prior social distancing (b = −.49; 95%CI: −.59, −.39; P < .001), and perceived community mask-wearing (b = −.28; 95%CI: −.46, −.09; P = .003).
Conclusion
Findings have implications for health promotion efforts. Messages that are targeted and tailored on pre-existing attitudes may be more effective. Additionally, leveraging prior behaviors and perceived community behavior may improve communication strategies.
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