Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St. W1033, Baltimore, MD, 21205, USA.
Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St. W1033, Baltimore, MD, 21205, USA.
BMC Public Health. 2021 Nov 15;21(1):2099. doi: 10.1186/s12889-021-12175-9.
Guidelines and recommendations from public health authorities related to face masks have been essential in containing the COVID-19 pandemic. We assessed the prevalence and correlates of mask usage during the pandemic.
We examined a total of 13,723,810 responses to a daily cross-sectional online survey in 38 countries of people who completed from April 23, 2020 to October 31, 2020 and reported having been in public at least once during the last 7 days. The outcome was individual face mask usage in public settings, and the predictors were country fixed effects, country-level mask policy stringency, calendar time, individual sociodemographic factors, and health prevention behaviors. Associations were modeled using survey-weighted multivariable logistic regression.
Mask-wearing varied over time and across the 38 countries. While some countries consistently showed high prevalence throughout, in other countries mask usage increased gradually, and a few other countries remained at low prevalence. Controlling for time and country fixed effects, sociodemographic factors (older age, female gender, education, urbanicity) and stricter mask-related policies were significantly associated with higher mask usage in public settings. Crucially, social behaviors considered risky in the context of the pandemic (going out to large events, restaurants, shopping centers, and socializing outside of the household) were associated with lower mask use.
The decision to wear a face mask in public settings is significantly associated with sociodemographic factors, risky social behaviors, and mask policies. This has important implications for health prevention policies and messaging, including the potential need for more targeted policy and messaging design.
公共卫生部门发布的与口罩相关的指南和建议对于控制 COVID-19 大流行至关重要。我们评估了大流行期间口罩使用的流行率和相关因素。
我们共分析了来自 38 个国家的 13723810 份每日横断面在线调查的回复,这些人于 2020 年 4 月 23 日至 2020 年 10 月 31 日完成调查,并报告在过去 7 天内至少有一次在公共场所。结局是个体在公共场所使用口罩,预测因素是国家固定效应、国家层面口罩政策的严格程度、日历时间、个体社会人口统计学因素和健康预防行为。采用加权多变量逻辑回归模型对关联进行建模。
口罩佩戴在时间和 38 个国家之间存在差异。虽然一些国家始终保持高流行率,但在其他国家,口罩使用率逐渐增加,而少数其他国家的流行率仍较低。在控制时间和国家固定效应后,社会人口统计学因素(年龄较大、女性、教育程度、城市)和更严格的口罩相关政策与在公共场所更高的口罩使用率显著相关。至关重要的是,被认为是大流行背景下有风险的社会行为(参加大型活动、餐馆、购物中心和家庭以外的社交活动)与口罩使用率较低有关。
在公共场所佩戴口罩的决定与社会人口统计学因素、有风险的社会行为和口罩政策显著相关。这对健康预防政策和信息传递具有重要意义,包括需要更有针对性的政策和信息传递设计。