metalExposChildren_df {simBKMRdata} | R Documentation |
Children's Environmental Heavy Metal Exposure Data
Description
This dataset originates from a real-world cohort study led by Dr. Lucchini and collaborators, focusing on environmental exposures in children. It includes measurements of five metal concentrations—Cadmium, Mercury, Arsenic, Lead, and Manganese—alongside standardized intelligence quotient (IQ) scores, and some other socio-economic and demographic variables.
Usage
metalExposChildren_df
Format
who
A data frame with 437 rows and 13 columns:
- ID
Subject's ID
- age
Subject's age in years
- QI
Intelligence quotient
- Cadmium
Cd urine concentration ng/ml
- Mercury
Hg urine concentration ng/ml
- Arsenic
As urine concentration ng/ml
- Lead
Pb blood concentration ng/ml
- Manganese
Mn hair concentration ng/g
- Sex
Student's gender; 1 = Male, 2 = Female
- BMI
Body Mass Index (kg/m2)
- SES
Social Economic Status; 1 = LOW, 2 = MEDIUM, 3 = HIGH
- Distance_metres
Distance to nearest industrial site (m)
- SPM
Raven's Standard Progressive Matrices
Source
Prof. Roberto Lucchini; see inst/scripts/data_metalExposChildren*.R for more details. Licensed under CC BY 4.0.