mempm25 {collin} | R Documentation |
Working memory test scores and air pollution.
Description
Simulated data for repeated measures of working memory test scores and
residential PM_{2.5}
levels in 2,221 children.
Usage
mempm25
Format
A data frame with 8,884 rows and 17 variables:
- id
individual identifier
- session
test session identifier
- school
chool identifier
- sex
sex of individual
- agecen
age of individual, centered at the mean, in years
- educ
maternal education
- resses
residential neighborhood socioeconomic status indicator
- pm25y0
estimated average concentration of PM
_{2.5}
(\mu
g/m^3
) at residence address during pregnancy- pm25y1
estimated average concentration of PM
_{2.5}
(\mu
g/m^3
) at residence address during year 1- pm25y2
estimated average concentration of PM
_{2.5}
(\mu
g/m^3
) at residence address during year 2- pm25y3
estimated average concentration of PM
_{2.5}
(\mu
g/m^3
) at residence address during year 3- pm25y4
estimated average concentration of PM
_{2.5}
(\mu
g/m^3
) at residence address during year 4- pm25y5
estimated average concentration of PM
_{2.5}
(\mu
g/m^3
) at residence address during year 5- pm25y6
estimated average concentration of PM
_{2.5}
(\mu
g/m^3
) at residence address during year 6- pm25y7
estimated average concentration of PM
_{2.5}
(\mu
g/m^3
) at residence address during year 7- wei
weight of the observation
- wmemo
working memory test score
Details
This is a synthetic dataset generated with the synthpop
package, based on
a cohort study of children examining the association between PM_{2.5}
concentrations during the prenatal period and the first seven postnatal years on
cognitive tests taken at age 8 (see ‘References’).
Source
See ‘References’.
References
Rivas I et al. Association between Early Life Exposure to Air Pollution and Working Memory and Attention. Environmental Health Perspectives. 2019;127(5):57002. doi: 10.1289/EHP3169.
Examples
# correlation of air pollution levels between two different periods:
pm25yearly <- mempm25[, grep("pm25", names(mempm25))]
print(cor(pm25yearly, use = "complete.obs"), digits = 2)