Langwerden Robbert J, Wagner Eric F, Hospital Michelle M, Morris Staci L, Cueto Victor, Carrasquillo Olveen, Charles Sara C, Perez Katherine R, Contreras-Pérez María Eugenia, Campa Adriana L
Community-Based Research Institute, Florida International University, Miami, FL 33199, USA.
Research Center in a Minority Institution, Florida International University, Miami, FL 33199, USA.
Vaccines (Basel). 2022 Apr 1;10(4):545. doi: 10.3390/vaccines10040545.
By the spring of 2021, most of the adult U.S. population became eligible to receive a COVID-19 vaccine. Yet, by the summer of 2021, the vaccination rate stagnated. Given the immense impact COVID-19 has had on society and individuals, and the surge of new variant strains of the virus, it remains urgent to better understand barriers to vaccination, including the impact of variations in trusted sources of COVID-19 information. The goal of the present study was to conduct a cross-sectional, community-engaged, and person-centered study of trusted sources of COVID-19 information using latent profile analysis (LPA). The aims were to (1) identify the number and nature of profiles of trusted sources of COVID-19 information, and (2) determine whether the trust profiles were predictive of COVID-19 vaccination attitudes and various demographic categories. Participants included mostly racial and ethnic minority individuals (82.4%) recruited by various community-based agencies in South Florida. The LPA evidenced an optimal 3-class solution characterized by low ( = 80)-, medium ( = 147)-, and high ( = 52)-trust profiles, with high trust statistically significantly predictive of vaccination willingness. The profiles identified could be important targets for public health dissemination efforts to reduce vaccine hesitancy and increase COVID-19 vaccination uptake. The general level of trust in COVID-19 information sources was found to be an important factor in predicting COVID-19 vaccination willingness.
到2021年春季,美国大多数成年人有资格接种新冠疫苗。然而,到2021年夏季,疫苗接种率停滞不前。鉴于新冠疫情对社会和个人产生了巨大影响,以及病毒新变种毒株的激增,更好地了解疫苗接种的障碍,包括新冠信息可靠来源差异的影响,仍然十分紧迫。本研究的目的是使用潜在类别分析(LPA)对新冠信息可靠来源进行一项横断面、社区参与且以个人为中心的研究。其目标是:(1)确定新冠信息可靠来源类别的数量和性质;(2)确定信任类别是否能预测新冠疫苗接种态度以及不同人口类别。参与者主要是南佛罗里达州各社区机构招募的少数族裔个人(82.4%)。潜在类别分析显示了一个最佳的三类解决方案,其特征为低信任度(n = 80)、中等信任度(n = 147)和高信任度(n = 52)类别,高信任度在统计学上显著预测了接种意愿。所确定的类别可能是公共卫生传播努力的重要目标,以减少疫苗犹豫并提高新冠疫苗接种率。研究发现,对新冠信息来源的总体信任水平是预测新冠疫苗接种意愿的一个重要因素。