ERIC Number: EJ1458572
Record Type: Journal
Publication Date: 2025
Pages: 10
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-2365-7464
Delay Discounting Predicts COVID-19 Vaccine Booster Willingness
Julia G. Halilova; Samuel Fynes-Clinton; Caitlin M. Terao; Donna Rose Addis; R. Shayna Rosenbaum
Cognitive Research: Principles and Implications, v10 Article 1 2025
Developing ways to predict and encourage vaccine booster uptake are necessary for durable immunity responses. In a multi-nation sample, recruited in June-August 2021, we assessed delay discounting (one's tendency to choose smaller immediate rewards over larger future rewards), COVID-19 vaccination status, demographics, and distress level. Participants who reported being vaccinated were invited back one year later (n = 2547) to report their willingness to receive a booster dose, along with reasons for their decision. After controlling for demographic variables and distress level, a greater tendency to discount future rewards was associated with reduced willingness to receive a booster dose. Thematic coding revealed that the most common reason for booster willingness was protection against COVID-19, and for unwillingness was non-necessity. The results identify delay discounting as a behavioral predictor of booster willingness that may be used to inform tailored approaches to increase booster uptake (e.g., trust in science vs. vaccine mandates).
Descriptors: COVID-19, Pandemics, Immunization Programs, Health Behavior, Individual Characteristics, Attitudes, Decision Making, Stress Variables, Rewards
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://bibliotheek.ehb.be:2123/
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Data File: URL: https://osf.io/z932y/?view_only=87123c53ebbf470082f24bdf6d7ad557