anxiety {AnxietySleep} | R Documentation |
Data from the anxiety and confinement study.
Description
This dataset contains the variables used in the anxiety and confinement study carried out by Alvarado-Aravena et al. 2022.
Usage
anxiety
Format
A data frame with 617 rows y 7 variables:
id
: Factor. An identification code for each subject.sex
: Factor w/ 2 levels "Female", "Male". Sex of participants.zone
: Factor w/ 2 levels "CZ", "PZ". Zone in which the subject were by the time he was answering the questionnaire, either CZ (Confinement Zone) or PZ (Partial confinement Zone).beck_global
: Integer. Global score of Beck Anxiety Inventory.pits_global
: Integer. Global score of Pittsburgh Sleep Quality Index.age
: Integer. Age of the subjects in years.cat_age
: Factor w/ 4 levels "18-25", "26-40", "41-50", ">50". Age of the subjects in years.
Source
Alvarado-Aravena, C., Arriaza, K., Castillo-Aguilar, M., Flores, K., Dagnino-Subiabre, A., Estrada-Goic, C., & Núñez-Espinosa, C. (2022). Effect of Confinement on Anxiety Symptoms and Sleep Quality during the COVID-19 Pandemic. Behavioral Sciences, 12(10), 398.
Examples
# Mean age grouped by sex and zone using `data.table` syntax
anxiety[, # No filtering (i)
list(mean_age = mean(age)), # Action to do (j)
list(sex, zone)] # Grouping vars (by)
# Mean PSQI score grouped by sex and zone, for those with
# an age greater than 18 AND a Beck score greater than 10.
anxiety[age > 18 & beck_global > 10,
list(mean_psqi = mean(pits_global)),
list(sex, zone)]