Individual characteristics and demographics associated with mask wearing during the COVID-19 pandemic in the United States

IF 5 Q1 PSYCHIATRY
Echu Liu, Samantha A. Arledge
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引用次数: 18

Abstract

Introduction: Many scientific studies provide evidence of mask wearing as an effective strategy to reduce the spread of the COVID-19 virus. However, US citizens do not adhere to this prevention practice universally. Although past studies have shown disparities in mask wearing by age, gender, ethnicity, and location, the literature lacks a work that uses large-scale national survey data to understand the mask-wearing resistors' characteristics and demographics. This study's purpose is to fill this gap. Methods: We obtained this study's data from the COVID-19 Impact Survey, a nationally representative survey conducted by NORC at the University of Chicago. This survey aims at generating national and regional statistics by surveying representative regional and national samples in three time periods: April 20–26, 2020, May 4–10, 2020, and June 1–8, 2020. Data for our analysis are from the public-use files of these three waves. We performed logistic regressions to estimate the adjusted risk ratio (ARR) of not wearing masks for several personal characteristics and demographics. Results: Our results suggest that younger (average ARR = 1.66) and lower-income (average ARR = 1.51) adults are more likely not to wear a face mask to prevent the coronavirus spread. On the other hand, unhealthy (average ARR = 0.81), female (average ARR = 0.68), and minority (average ARR = 0.65) adults are less likely not to wear a mask. Furthermore, residents in the Northeast region (average ARR = 0.34) and urban residents (average ARR = 0.54) are less likely not to wear a face mask. Conclusion: Mask-wearing behavior differs by age, income, health status, gender, race, region, and geographical residence in the US.
美国COVID-19大流行期间与口罩佩戴相关的个人特征和人口统计学特征
简介:许多科学研究提供了戴口罩作为减少新冠肺炎病毒传播的有效策略的证据。然而,美国公民并没有普遍遵守这种预防做法。尽管过去的研究表明,戴口罩的人在年龄、性别、种族和地点方面存在差异,但文献中缺乏使用大规模全国调查数据来了解戴口罩者的特征和人口统计数据的工作。本研究的目的是填补这一空白。方法:我们从新冠肺炎影响调查中获得了这项研究的数据,这是芝加哥大学NORC进行的一项具有全国代表性的调查。该调查旨在通过调查三个时间段的代表性地区和国家样本来生成国家和地区统计数据:2020年4月20日至26日、2020年5月4日至10日和2020年6月1日至8日。用于我们分析的数据来自这三个波浪的公共使用文件。我们进行了逻辑回归,以估计不戴口罩的几个个人特征和人口统计的调整后风险比(ARR)。结果:我们的研究结果表明,年轻(平均ARR=1.66)和低收入(平均ARR=1.51)的成年人更有可能不戴口罩来防止冠状病毒的传播。另一方面,不健康(平均ARR=0.81)、女性(平均ARR=0.68)和少数民族(平均ARD=0.65)成年人不戴口罩的可能性较小。此外,东北地区的居民(平均ARR=0.34)和城市居民(平均AR=0.54)不戴口罩的可能性较小。结论:在美国,戴口罩的行为因年龄、收入、健康状况、性别、种族、地区和地理居住地而异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Asian Journal of Social Health and Behavior
Asian Journal of Social Health and Behavior Social Sciences-Health (social science)
CiteScore
8.50
自引率
0.00%
发文量
18
审稿时长
17 weeks
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