key: cord-0885030-3as7mtik
authors: Burnell, Kenneth; Robbins, Meredith; Kulali, Sharon; Wells, Ellen M.
title: Prevalence and predictors of mask use on a large US university campus during the COVID-19 pandemic: a brief report
date: 2021-12-07
journal: Am J Infect Control
DOI: 10.1016/j.ajic.2021.11.028
sha: 327693acebd9e2f32f90d4bb0ffe65295df5e28a
doc_id: 885030
cord_uid: 3as7mtik

This observational study was conducted to determine the prevalence and correlates of wearing masks at a large Midwestern US university during the COVID-19 pandemic. A total of 7237 individuals were observed over 24 hours. Overall mask use prevalence was 90.6% (95% confidence interval: 89.9, 91.2); mask use was significantly associated with being indoors (vs. outdoors), female (vs. male), and at the athletic center (vs. the student union).

During the COVID-19 pandemic, near-ubiquitous use of masks in community settings was recommended (1) . However, personal protective equipment is considered to be one of the least effective hazard control measures due to their reliance on an individual's behavior (2) . The extent to which individuals have worn masks in non-occupational settings, particularly in institutions of higher education, is not yet fully described. Therefore, the goal of this research was to determine the prevalence and correlates of mask use on a large United States (US) university campus.

In fall 2020, there were >40,000 students on campus taking in-person and/or online classes. University policy required wearing masks at all time while indoors (if not eating) and required wearing masks outdoors (if not social distancing). Removal of masks indoors for eating or drinking was permitted for <15 minutes if social distancing could be observed. All students, faculty, and staff completed a pledge stating that they would follow these policies; violators could face disciplinary action. Information regarding these policies were posted widely in print and electronic formats throughout the semester.

Data were collected using direct observation on weekdays from 9:00 am to 6:30 pm.

Observers were three undergraduate students with prior research experience. They were trained using written materials and in-person meetings. A standardized data collection form was used to collected data outside (near the building entrance) or inside (in a common area) one of three locations on campus (student union/academic building/athletic center) over the course of one hour. Observers collected data on all persons in the area, including mask use (none/incorrectly worn/correctly worn), perceived gender (male/female/unknown), and perceived student status (student/non-student/unknown). If there was any uncertainty about gender or student status, observers were instructed to mark "unknown". Correct usage was based on US Centers for Disease Control and Prevention guidelines.

Data were analyzed using Stata 16.0 (College Station, TX, USA). Few individuals were wearing masks incorrectly (<10%), so this category was combined with correctly wearing masks for analyses. Logistic regression models were used to assess correlates of mask use. Adjusted regression models included gender (male/female/unknown), student status (student/nonstudent/unknown), location relative to the building (inside/outside), and building (student union/academic building/athletic center). Standard errors were adjusted for potential correlation based on collection period.

Overall, 6555 out of the 7237 observed persons wore masks (90.6%; 95% confidence interval (CI): 89.9, 91.2) ( Table 1) Overall, a higher proportion of women wore masks (versus men) and a more students wore masks compared to non-students (Table 1) . Mask use prevalence was highest at the athletic center and lowest at the student union. Patterns were similar when stratified by location.

In adjusted logistic regression models, individuals wearing masks were significantly more likely to be female (versus male), inside (versus outside), and at the athletic center (versus the student union) ( Table 1) . Results were similar in unadjusted models and when stratified by location, although indoor observations were not statistically significant. 

We report a very high mask use prevalence in this study; across all categories observed, mask use prevalence was >80%. This is higher than several studies of mask use in healthcare settings, some of which have reported prevalence lower than 50% (3, 4) . In contrast, research conducted during the COVID-19 pandemic reported somewhat higher mask use prevalence either on university campuses (85.5%) (5) or community settings (65.7% to 89%) (1,6,7) . This was not universal, as Deschanvres et al. still reported lower mask use prevalence in a community setting during the pandemic (56.4%) (8) . Prior work suggests that requirements (versus guidelines), training, and/or a concern about specific risks may contribute to increased mask use prevalence (3, 4, (8) (9) (10) ; these might contribute to our results. Similarly, higher use when masks are required versus recommended likely explains the higher mask use prevalence observed indoors versus outdoors in this, and other studies (5, 6, 8) .

We observed a higher mask use prevalence among women versus among men. This trend is reported in many (6, 8, 10) but not all (1,3) prior studies. Although not statistically significant, our finding that the student mask use prevalence was higher than that of nonstudents is not consistent with to prior reports suggesting less mask use among young adults in community settings (1, 7, 8, 10) ; however, it is consistent with a high student mask use reported from other university campuses (5) . Anecdotal reports from observers suggest the non-students were largely campus visitors or contractors, who could have had less training and a much lower chance of disciplinary action, which may have contributed to prevalence of mask use.

The highest mask use prevalence was at the athletic center, followed by the academic building and the student union. The exact reason for this is unknown. Some possibilities are that individuals could be barred from using the athletic facility if found to be in violation of the mask use policy. The results also reflect the likely proportion of campus visitors to the various buildings or the likelihood of eating inside the buildings. Both visitors and eating would be highest in the student union and lowest in the athletic complex. Data collectors noted individuals who recently ate may not have replaced their mask immediately.

A substantial limitation is that observers were also asked to use their own judgement to assess gender and student status. For this reason, observers were encouraged to indicate "unknown" if they were unable to make a determination, and this category was retained in analyses. Additionally, race/ethnicity data were not collected because direct observation could result in a high level of misclassification for this variable.

This study also has several strengths. Data were collected on a large sample of individuals. Additionally, as a direct observational study, these results are not subject to reporting bias. Overall, this adds to scientific knowledge for face mask use in academic settings where mask use was required.

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