Edward R. Murrow Center for Media & Health Promotion Research, Edward R. Murrow College of Communication, Washington State University, Pullman, WA, USA.
Department of Kinesiology and Educational Psychology, Washington State University, Pullman, WA, USA.
Am J Health Promot. 2023 May;37(4):464-470. doi: 10.1177/08901171221132750. Epub 2022 Oct 10.
To assess how previous experiences and new information contributed to COVID-19 vaccine intentions.
Online survey (N = 1264) with quality checks.
Cross-sectional U.S. survey fielded June 22-July 18, 2020.
U.S. residents 18+; quotas reflecting U.S. Census, limited to English speakers participating in internet panels.
Media literacy for news content and sources, COVID-19 knowledge; perceived usefulness of health experts; if received flu vaccine in past 12 months; vaccine willingness scale; demographics.
Structural equation modelling.
Perceived usefulness of health experts ( = .422, < .001) and media literacy ( = .162, < .003) predicted most variance in vaccine intentions (R-squared=31.5%). A significant interaction ( = .163, < .001) between knowledge ( = -.132, = .052) and getting flu shot ( = .185, < .001) predicted additional 3.5% of the variance in future vaccine intentions. An increase in knowledge of COVID-19 associated with a decrease in vaccine intention among those declining the flu shot.
The interaction result suggests COVID-19 knowledge had a positive association with vaccine intention for flu shot recipients but a counter-productive association for those declining it. Media literacy and trust in health experts provided strong counterbalancing influences. Survey-based findings are correlational; thus, predictions are based on theory. Future research should study these relationships with panel data or experimental designs.
评估先前的经验和新信息如何影响 COVID-19 疫苗接种意愿。
在线调查(N=1264),并进行质量检查。
2020 年 6 月 22 日至 7 月 18 日期间在美国进行的横断面调查。
美国 18 岁以上居民;配额反映了美国人口普查结果,仅限于参加互联网小组的英语使用者。
对新闻内容和来源的媒体素养、COVID-19 知识;对健康专家的感知有用性;过去 12 个月是否接种过流感疫苗;疫苗接种意愿量表;人口统计学。
结构方程模型。
健康专家的感知有用性( =.422,<.001)和媒体素养( =.162,<.003)预测了疫苗接种意愿的最大变化(R-squared=31.5%)。知识( = -.132,=.052)和接种流感疫苗( =.185,<.001)之间的显著交互作用( =.163,<.001)预测了未来疫苗接种意愿的额外 3.5%变化。COVID-19 知识的增加与拒绝接种流感疫苗者的疫苗接种意愿降低相关。
交互作用结果表明,对于接种流感疫苗的人来说,COVID-19 知识与疫苗接种意愿呈正相关,但对于拒绝接种流感疫苗的人来说,则呈反效果。媒体素养和对健康专家的信任提供了强有力的制衡影响。基于调查的发现是相关的;因此,预测是基于理论的。未来的研究应该使用面板数据或实验设计来研究这些关系。