Trust in science and scientists among university students, staff, and faculty of a large, diverse university in Los Angeles during the COVID-19 pandemic, the Trojan Pandemic Response Initiative.

Trust in science and scientists among university students, staff, and faculty of a large, diverse university in Los Angeles during the COVID-19 pandemic, the Trojan Pandemic Response Initiative.
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在洛杉矶一所大型大学的大学生,教职员工和教职员工中,科学和科学家的信任是在洛杉矶的一所大流行期间,洛杉矶大流行倡议。

DOI:
10.1186/s12889-023-15533-x
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发表时间:
2023-03-30
期刊:
影响因子:
4.5
通讯作者:
--
中科院分区:
医学2区
文献类型:
--
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对科学和科学家的不信任可能会对 COVID-19 疫苗接种率产生不利影响,并破坏减少病毒传播的公共卫生举措。学生、教职员工和教职员工回复电子邮件邀请来完成电子调查。调查包括科学信任和科学家调查问卷中的 21 项。响应被编码,因此较高的分数表明对科学和科学家的信任度较高。使用包括性别、年龄组、区划、种族和族裔、政治派别和 COVID-19 历史的线性回归模型来确定与科学和科学家信任度显着相关的变量,分数处于 p< 0.05 水平。参与者主要是女性(62.1%)、亚裔(34.7%)和白人(39.5%)以及学生(70.6%)。超过一半的人认为自己的政治立场是民主党(65%)。在最终的回归模型中,所有种族和族裔对科学和科学家的平均信任度均显着低于白人参与者[黑人(= -0.42,95% CI:-0.55,-0.43,p< 0.001);亚洲人(= -0.20,95% CI:-0.24,-0.17,p < 0.001);拉丁语(= -0.22,95% CI:-0.27,-0.18,p < 0.001);其他(= -0.19,95% CI:-0.26,-0.11,p < 0.001)]。与那些被认定为民主党的人相比,所有其他政治派别的平均分都明显较低。 [共和党 (=-0.49, 95% CI: -0.55, -0.43, p < 0.0001);独立(=-0.29,95% CI:-0.33,-0.25,p < 0.0001);其他值(=-0.19,95% CI:-0.25,-0.12,p < 0.0001)]。与未感染 COVID-19 的人相比,感染过 COVID-19 的人 (= -0.10, 95% CI: -0.15, -0.06, p< 0.001) 的得分显着较低。尽管是一所主要的研究型大学,但对科学的信任却存在很大差异。这项研究确定了可用于针对和策划教育活动和大学政策的特征,以应对新冠病毒和未来的流行病。
Mistrust in science and scientists may adversely influence the rate of COVID-19 vaccination and undermine public health initiatives to reduce virus transmission. Students, staff and faculty responded to an email invitation to complete an electronic survey. Surveys included 21-items from the Trust in Science and Scientists Inventory questionnaire. Responses were coded so higher scores indicated a higher trust in science and scientists, A linear regression model including sex, age group, division, race and ethnicity, political affiliation, and history of COVID-19, was used to determine variables significantly associated with trust in science and scientists scores at the p < 0.05 level. Participants were mostly female (62.1%), Asian (34.7%) and White (39.5%) and students (70.6%). More than half identified their political affiliation as Democrat (65%). In the final regression model, all races and ethnicities had significantly lower mean trust in science and scientists scores than White participants [Black (= -0.42, 95% CI: -0.55, -0.43, p < 0.001); Asian (= -0.20, 95% CI: -0.24, -0.17, p < 0.001); Latinx (= -0.22, 95% CI: -0.27, -0.18, p < 0.001); Other (= -0.19, 95% CI: -0.26, -0.11, p < 0.001)]. Compared to those identifying as Democrat, all other political affiliations had significantly lower mean scores. [Republican ( =-0.49, 95% CI: -0.55, -0.43, p < 0.0001); Independent ( =-0.29, 95% CI: -0.33, -0.25, p < 0.0001); something else ( =-0.19, 95% CI: -0.25, -0.12, p < 0.0001)]. Having had COVID-19 (= -0.10, 95% CI: -0.15, -0.06, p < 0.001) had significantly lower scores compared to those who did not have COVID-19. Despite the setting of a major research University, trust in science is highly variable. This study identifies characteristics that could be used to target and curate educational campaigns and university policies to address the COVID19 and future pandemics.
DOI: 10.1353/hpu.2021.0010
发表时间: 2021
影响因子: 1.4
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Best AL;Fletcher FE;Kadono M;Warren RC
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DOI: 10.1371/journal.pone.0260586
发表时间: 2021
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期刊: NAM perspectives
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发表时间: 2021-06-17
影响因子: 2.4
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