Trail Making Test: Normative data for the Latin American Spanish-speaking pediatric population
J C Arango-Lasprilla1,2, D Rivera2, D Ramos-Usuga3
1IKERBASQUE, Basque Foundation for Science, Bilbao, Spain.
Neurorehabilitation
|October 18, 2017
Summary
This study provides the largest normative data for the Trail Making Test (TMT) in Spanish-speaking children. Findings reveal how age, parental education, and sex influence TMT performance across diverse regions.
Area of Science:
- Neuropsychology
- Developmental Psychology
- Cognitive Neuroscience
Background:
- The Trail Making Test (TMT) is a widely used neuropsychological assessment.
- Establishing normative data is crucial for accurate interpretation in pediatric populations.
- Previous TMT normative data for Spanish-speaking children are limited.
Purpose of the Study:
- To generate comprehensive normative data for the Trail Making Test (TMT) in Spanish-speaking pediatric populations.
- To provide updated and culturally relevant TMT norms for child neuropsychological assessments.
- To facilitate more accurate interpretation of TMT performance in diverse Latin American and Spanish children.
Main Methods:
- A large sample of 3,337 healthy children from nine Latin American countries and Spain participated.
- Participants completed the TMT as part of a broader neuropsychological evaluation.
- Normative scores were established using multiple linear regressions, considering age, age squared, sex, and parental education level (MLPE).
Main Results:
- Age significantly impacted TMT performance, with older children completing the test faster.
- Non-linear effects of age (age squared) were observed in most countries for TMT-A and TMT-B.
- Higher parental education (MLPE >12 years) was associated with faster TMT completion times in specific countries.
- Sex influenced TMT-A scores, with boys generally performing faster than girls in certain regions.
Conclusions:
- This study represents the largest global effort to establish TMT normative data for Spanish-speaking children.
- The generated norms will significantly enhance the accuracy of TMT interpretation by neuropsychologists in these regions.
- The findings underscore the importance of considering demographic factors like age, education, and sex in pediatric TMT assessments.


