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The Importance of Understanding COVID-19: The Role of Knowledge in Promoting Adherence to Protective Behaviors

机译:理解Covid-19的重要性:知识在促进遵守保护行为方面的作用

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Background: Past research suggests that knowledge supports- but strong illness expectations thwart- adoption of protective behaviors (e.g., handwashing). Strong illness expectations may place COVID-19 essential workers at risk. It is unclear, however, whether knowledge can moderate the negative effects of pessimistic illness expectations on protective behaviors. We test COVID-19 knowledge as a moderator of the effects of (1) pessimistic illness expectations and (2) essential worker status on adherence to protective behaviors. Methods: Participants ( n = 350) completed measures of knowledge, illness expectations, and protective behaviors. We used chi-square tests to examine associations between variables and logistic regressions to test the moderation models predicting adherence (low, high) while controlling for demographics. Results: Knowledge, illness expectations, and adherence were significantly associated with each other ( p 0.05). Essential workers had stronger illness expectations and lower knowledge than did non-essential workers ( p 0.001). Logistic regressions showed a non-significant Worker Status × Knowledge interaction ( p = 0.59) but a significant Knowledge × Illness Expectations interaction ( p 0.05) indicating that those with strong illness expectations and low knowledge were disproportionately at risk of failing to adhere to recommended behaviors. Conclusions: Knowledge promotes protective behaviors by buffering the negative effects of pessimistic illness expectations. Essential workers are more likely to have low levels of knowledge with strong illness expectations, suggesting that educational policies may be warranted.
机译:背景:过去的研究表明,知识支持 - 但强烈的疾病预期阻碍了保护行为(例如,洗手)。强烈的疾病预期可能会使Covid-19的必要工人处于危险之中。然而,尚不清楚知识是否能够适度对抗对保护行为的悲观疾病期望的负面影响。我们将Covid-19的知识作为(1)悲观疾病预期和(2)基本工人身份遵守保护行为的主导者的主持人。方法:参与者(n = 350)完成了知识,疾病预期和保护行为的措施。我们使用Chi-Square测试来检查变量与逻辑回归之间的关联,以测试预测遵守(低,高)的适度模型,同时控制人口统计数据。结果:知识,疾病期望,依赖性彼此显着相关(P <0.05)。基本工人的疾病预期较强,知识比非必需工人更低(P <0.001)。 Logistic回归显示了非重要的工人身份×知识相互作用(P = 0.59),但重要知识×疾病期望相互作用(P <0.05)表明具有强烈的疾病期望和低知识的人的风险不成比例,可能导致未能坚持的风险推荐行为。结论:通过缓解悲观疾病预期的负面影响,知识促进保护行为。基本工人更有可能具有较强的疾病预期知识水平,这表明可能需要教育政策。

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