Facemasks {R4HCR} | R Documentation |
Face Masks while Exercising Trial (MERIT).
Description
Data from a cross-over randomised controlled study on the effect of face-masks while taking exercise.
Usage
Facemasks
Format
A data frame with 216 observations on the following 3 variables.
patid
Participant identifiction number.
comparison
Variable indiciating which of the three comparisons the outcome corresponds to (Cloth vs None, Surgical vs None, FFP3 vs none).
delta
Difference in oxygen saturation (SaO2) in percent (%).
Details
These data are from a cross-over randomised controlled study, completed between June 2021 and January 2022. Volunteers were aged 18–35 years, exercised regularly, and had no significant pre-existing health conditions. The primary outcome was change in oxygen saturation. Oxygen saturation levels were measured after exercise whilst wearing a cloth mask, a surgical mask,or filtering facepiece (FFP3) mask, and compared to oxygen saturation levels without any mask, during 4 15 min bouts of exercise. The exercise was running outdoors or indoor rowing at moderate-to-high intensity, with the consistency of distance traveled between bouts confirmed using a smartphone application (Strava). Each participant completed each bout in random order.
References
Jones N, Oke JL, Marsh S, et al. Face masks while exercising trial (MERIT): a cross-over randomised controlled study. BMJ Open 2023;13:e063014.
Examples
data(Facemasks, package = "R4HCR")
# focus on cloth - none comparison
t.test(delta ~ 1,
data = Facemasks,
subset = comparison == "Cloth - None")