Partisanship, health behavior, and policy attitudes in the early stages of the COVID-19 pandemic.
Partisanship, health behavior, and policy attitudes in the early stages of the COVID-19 pandemic.
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DOI：
10.1371/journal.pone.0249596
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发表时间：
2021
期刊：
影响因子：
3.7
通讯作者：
Pepinsky TB
中科院分区：
文献类型：
--
作者：
Gadarian SK;Goodman SW;Pepinsky TB
研究美国公众在全国健康危机的最初几周内（2020 年 3 月 20 日至 23 日）对 COVID-19 的健康行为、态度和政策意见。我们在 2020 年 3 月 20 日至 23 日期间设计并开展了一项针对 3,000 名美国成年人的原创代表性调查，以收集 38 种与健康相关的行为、政府对 COVID-19 应对的政策偏好以及对这一流行病的担忧的数据。我们测试了与 COVID-19 相关的政策态度和行为的党派差异，以三种不同的方式进行衡量：党派归属、预期的 2020 年总统投票以及自我定位的意识形态定位。我们的多元方法适应广泛的个人人口和地理特征，这些特征可能会混淆党派之争与健康行为、态度和偏好之间的关系。我们发现，党派之争——以政党认同、对特朗普总统的支持或左右意识形态定位来衡量——解释了美国人在广泛的健康行为和政策偏好方面的差异。我们没有发现一致的证据表明，控制个人新闻消费、当地政策环境和当地与流行病相关的死亡人数可以消除观察到的健康行为、信仰和态度方面的党派差异。在进一步的分析中，我们使用 LASSO 回归方法来选择预测变量，并发现党派指标是我们研究的 38 个因变量中最常选择的预测变量。我们对个人自我报告的应对 COVID-19 的行为、态度和政策偏好的分析表明，在 COVID-19 大流行的最初几个月里，党派之争在塑造个人反应方面发挥了核心作用。这些结果表明，在应对国家公共卫生紧急情况时，党派分歧从大流行初期就根深蒂固。
To study the U.S. public’s health behaviors, attitudes, and policy opinions about COVID-19 in the earliest weeks of the national health crisis (March 20–23, 2020). We designed and fielded an original representative survey of 3,000 American adults between March 20–23, 2020 to collect data on a battery of 38 health-related behaviors, government policy preferences on COVID-19 response and worries about the pandemic. We test for partisan differences COVID-19 related policy attitudes and behaviors, measured in three different ways: party affiliation, intended 2020 Presidential vote, and self-placed ideological positioning. Our multivariate approach adjusts for a wide range of individual demographic and geographic characteristics that might confound the relationship between partisanship and health behaviors, attitudes, and preferences. We find that partisanship—measured as party identification, support for President Trump, or left-right ideological positioning—explains differences in Americans across a wide range of health behaviors and policy preferences. We find no consistent evidence that controlling for individual news consumption, the local policy environment, and local pandemic-related deaths erases the observed partisan differences in health behaviors, beliefs, and attitudes. In further analyses, we use a LASSO regression approach to select predictors, and find that a partisanship indicator is the most commonly selected predictor across the 38 dependent variables that we study. Our analysis of individual self-reported behavior, attitudes, and policy preferences in response to COVID-19 reveals that partisanship played a central role in shaping individual responses in the earliest months of the COVID-19 pandemic. These results indicate that partisan differences in responding to a national public health emergency were entrenched from the earliest days of the pandemic.
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影响因子：
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通讯作者：
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DOI：
10.1073/pnas.0601266103
发表时间：
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影响因子：
11.1
作者：
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通讯作者：
Macken, CA
DOI：
10.1073/pnas.0610941104
发表时间：
2007-05-01
影响因子：
11.1
作者：
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