Facemasks: Face Masks while Exercising Trial (MERIT).

In R4HCR: R for Health Care Research

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")

R4HCR documentation built on Sept. 30, 2024, 9:46 a.m.