La Trobe
AAM_1201278_Marques,M_2022.pdf (444.51 kB)
Download file

Psychological predictors of COVID-19 vaccination in New Zealand

Download (444.51 kB)
journal contribution
posted on 30.05.2022, 01:02 authored by Mathew MarquesMathew Marques, Chris G Sibley, Marc S Wilson, Joseph Bulbulia, Danny Osborne, Kumar Yogeeswaran, Carol HJ lee, Isabelle M Duck, Karen M Douglas, Aleksandra Cichocka

Is it possible to predict COVID-19 vaccination status prior to the existence and availability of COVID-19 vaccines? Here, we present a logistic model by regressing decisions to vaccinate in late 2021 on lagged sociodemographic, health, social, and political indicators from 2019 in a sample of New Zealand adults aged between 18 and 94 (Mage = 52.92, SD = 14.10; 62.21% women; N = 5324). We explain 31% of the variance in decision making across New Zealand. Significant predictors of being unvaccinated were being younger, more deprived, reporting less satisfaction with general practitioners, lower levels of neuroticism, greater levels of subjective health and meaning in life, higher distrust in science and in the police, lower satisfaction in the government, as well as political conservatism. Additional cross-sectional models specified using the same, and additional COVID-19-specific factors are also presented. These findings reveal that vaccination decisions are neither artefacts of context nor chance, but rather can be predicted in advance of the availability of vaccines.

History

Publication Date

22/04/2022

Journal

New Zealand Journal of Psychology

Volume

51

Issue

1

Pagination

8p. (p. 10-27)

Publisher

New Zealand Psychological Society Inc.

ISSN

0112-109X

Rights Statement

The Author reserves all moral rights over the deposited text and must be credited if any re-use occurs. Documents deposited in OPAL are the Open Access versions of outputs published elsewhere. Changes resulting from the publishing process may therefore not be reflected in this document. The final published version may be obtained via the publisher’s DOI. Please note that additional copyright and access restrictions may apply to the published version.

Usage metrics

Categories

Exports