背景:在整个COVID-19大流行中,社交媒体一直是沟通的渠道,娱乐场所,和信息传播机制。
目标:由于社交媒体利用率的增长和演变,这项研究旨在评估社交媒体使用模式之间的关联,人口统计,和COVID-19预防指南知识,感知,和自我报告的依从性。
方法:配额抽样数据是通过Qualtrics平台对美国成年人进行的在线调查收集的,从3月15日到23日,2022年,评估协变量(例如,人口统计,疫苗接种,政治派别),社交媒体使用的频率,COVID-19信息的社交媒体来源,以及知识,感知,和自我报告对COVID-19预防指南的依从性。采用三种线性回归模型进行数据分析。
结果:共有1,043名参与者回答了调查,平均年龄为45.3岁,其中男性占49.4%,66%白色,11.3%黑色,13.1%西班牙裔/拉丁裔,36.7%的民主党人,29.4%的共和党人,25%没有接种疫苗。在控制协变量后,TikTok的用户(β=-0.31,P=.03,95%CI[-.06,-.02])与对COVID-19指南的了解较低有关,Instagram(β=-0.33,P=.02,95%CI[-.59,-.06])和Twitter(β=-0.28,P=.02,95%CI[-.53,-.05])的用户与严格的感知指南相关,和Facebook用户(β=-0.23,P=.02,95%CI[-.42,-.043])和TikTok(β=-0.25,P=.04,95%CI[-.28,.12])与对指南的依从性较低相关(R2.06-.23)。
结论:这些结果暗示了在线和物理环境之间的复杂相互作用。未来的干预措施应根据人口统计学和社交媒体网站的使用情况针对亚群进行调整。减少错误信息和实施数字公共卫生政策的努力必须考虑数字景观对知识的影响,感知,以及对有效控制大流行的预防准则的遵守程度。
背景:
Throughout the COVID-19 pandemic, social media has served as a channel of communication, a venue for entertainment, and a mechanism for information dissemination.
This study aims to assess the associations between social media use patterns; demographics; and knowledge, perceptions, and self-reported adherence toward COVID-19 prevention
guidelines, due to growing and evolving social media use.
Quota-sampled data were collected through a web-based survey of US adults through the Qualtrics platform, from March 15, 2022, to March 23, 2022, to assess covariates (eg, demographics, vaccination, and political affiliation), frequency of social media use, social media sources of COVID-19 information, as well as knowledge, perceptions, and self-reported adherence toward COVID-19 prevention
guidelines. Three linear regression models were used for data analysis.
A total of 1043 participants responded to the survey, with an average age of 45.3 years, among which 49.61% (n=515) of participants were men, 66.79% (n=696) were White, 11.61% (n=121) were Black or African American, 13.15% (n=137) were Hispanic or Latino, 37.71% (n=382) were Democrat, 30.21% (n=306) were Republican, and 25% (n=260) were not vaccinated. After controlling for covariates, users of TikTok (β=-.29, 95% CI -0.58 to -0.004; P=.047) were associated with lower knowledge of COVID-19
guidelines, users of Instagram (β=-.40, 95% CI -0.68 to -0.12; P=.005) and Twitter (β=-.33, 95% CI -0.58 to -0.08; P=.01) were associated with perceiving guidelines as strict, and users of
Facebook (β=-.23, 95% CI -0.42 to -0.043; P=.02) and TikTok (β=-.25, 95% CI -0.5 to -0.009; P=.04) were associated with lower adherence to the
guidelines (R2 0.06-0.23).
These results allude to the complex interactions between online and physical environments. Future interventions should be tailored to subpopulations based on their demographics and social media site use. Efforts to mitigate misinformation and implement digital public health policy must account for the impact of the digital landscape on knowledge, perceptions, and level of adherence toward prevention guidelines for effective pandemic control.