Leach Damon, Morris Keeley J, Fiecas Mark B, Tarr Gillian Am
Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Pacific Northwest National Laboratory, Richland, WA, USA.
J Public Health Res. 2023 Jul 28;12(3):22799036231189308. doi: 10.1177/22799036231189308. eCollection 2023 Jul.
Pandemic fatigue emerged early during the COVID-19 pandemic and remains a concern as new variants emerge and ongoing public health measures are needed to control them. A wide range of factors can affect pandemic fatigue, but empiric research indicating which may be most important to adherence in specific populations is lacking.
DESIGN & METHODS: We conducted a longitudinal study of changes in physical distancing in two cohorts: adults living with children <18 years and adults ≥50 years old. Six types of non-work, non-household contacts were ascertained at six times from April to October 2020. We used generalized estimating equations Poisson regression to estimate the one-week change in contact rate and how this differed based on sociodemographic characteristics.
The rate of all contact types increased during the middle of the study period and decreased toward the end. Changes in contact rates over time differed according to several sociodemographic characteristics, including age, gender, race/ethnicity, education, household composition, and access to transportation. Furthermore, the factors influencing the rate of change in contact rates differed by the type or setting of the contact, for example contacts as a result of visiting another person's home versus during a retail outing.
These results provide evidence for potential mechanisms by which pandemic fatigue has resulted in lower physical distancing adherence.
大流行疲劳在新冠疫情早期就已出现,随着新变种的出现以及需要持续采取公共卫生措施来控制它们,这一问题仍然令人担忧。多种因素会影响大流行疲劳,但缺乏实证研究来表明哪些因素可能对特定人群的遵守情况最为重要。
我们对两个队列的身体距离变化进行了纵向研究:有18岁以下儿童的成年人和50岁及以上的成年人。在2020年4月至10月期间,六次确定了六种非工作、非家庭接触类型。我们使用广义估计方程泊松回归来估计接触率的一周变化以及这如何因社会人口特征而异。
在研究期间的中期,所有接触类型的发生率均有所增加,而在接近尾声时有所下降。随着时间的推移,接触率的变化因多种社会人口特征而异,包括年龄、性别、种族/族裔、教育程度、家庭构成以及交通便利性。此外,影响接触率变化率的因素因接触的类型或场景而异,例如因拜访他人家中与在零售外出期间的接触。
这些结果为大流行疲劳导致身体距离遵守率降低的潜在机制提供了证据。