| Literature DB >> 33817681 |
Cornelia Betsch1, Lars Korn1, Lisa Felgendreff1, Sarah Eitze1, Heidrun Thaiss2.
Abstract
OBJECTIVES: Policy decisions regarding mask wearing in schools in times of the SARS-CoV-2 pandemic will likely be made despite a lack of scientific data. Public acceptance is therefore an important indicator to inform the communication activities that accompany the introduction of a new policy. The goal was to assess acceptance and relevant target groups for communication activities. STUDYEntities:
Keywords: COVID-19; Corona; Masks; Re-opening; Schools
Year: 2021 PMID: 33817681 PMCID: PMC8007211 DOI: 10.1016/j.puhip.2021.100115
Source DB: PubMed Journal: Public Health Pract (Oxf) ISSN: 2666-5352
Fig. 1Public acceptance of different school-related mask policies.
Note: Participants rated each policy and level of regulation. Fig. 1A and C shows the percentage of agreement (ratings of 5–7 on a 7-point scale). Details about all variables and full regression results are given in Table S1 [9]. (A) Parents of children over 10 years of age want teachers to wear masks in school, but not their children. (B) Linear regression with backwards elimination, regressing acceptance of student mask wearing in class on participants’ age, gender, education, occupation in the health sector, community size, having a child over 10 years of age (model 1); trust in institutions, trust in media, COVID-19 related knowledge, knowledge regarding protective behaviors, cognitive component of risk (susceptibility), affective component of risk (worry, fear, dominance of the topic), self-efficacy (added in model 2); current mask policy in the participants’ federal state, whether school has started (added in model 3). Beta coefficients and their 95% confidence intervals are shown. (C) Policies should uniformly apply for all institutions within a federal state/province and not be regulated at the school or federal/country level. (Mfederal = 5.52, SDfederal = 1.86, Mstate = 5.70, SDstate = 1.71, Mschool = 3.03, SDschool = 2.08; federal/country vs. state/province: t(956) = −3.85, p < .001, state/province vs. school: t(956) = 26.26, p < .001). Data collection on 08/15/20 and 08/16/20.