Duarte Henriques-Neto1, Adilson Marques2, Miguel Peralta2,3, Marta Ferreira4,5, Alex Barreto de Lima6
1University of Maia, Research Center in Sports Sciences, Health Sciences and Human Development, Maia, Portugal
2Universidade de Lisboa, CIPER, Faculdade de Motricidade Humana, Cruz Quebrada, Portugal
3Universidade de Lisboa, ISAMB, Faculdade de Medicina, Lisboa, Portugal
4Instituto Politécnico do Porto, inED, Centro de Investigação e Inovação em Educação, Escola Superior de Educação, Porto, Portugal
5Universidade de Aveiro, Departamento de Educação e Psicologia, Aveiro, Portugal
6Universidade Nilton Lins, Curso de Educação Física, Amazonas, Brasil
Test-Retest Reliability of the EUFITMOS Battery for Assessing Health-Related Physical Fitness in Low-Income Young People
Sport Mont 2025, 23(2), Ahead of Print | DOI: 10.26773/smj.250614
Abstract
Assessing the reliability of physical fitness measures in middle- and low-income contexts is considered a research priority. This study aimed to analyse the test-retest reliability of field-based physical fitness tests in low-income young people from Amazonas, Brazil. Participants were 152 adolescents (75 boys) aged 11 to 16, living in Jutaí, Amazonas. Physical fitness, including cardiorespiratory fitness, upper- and lower-body strength, flexibility, and speed, was assessed using the EUFITMOS battery across two trials conducted one week apart. Test-retest reliability was assessed using the intra-class correlation coefficient (ICC). The agreement was estimated using the Bland-Altman approach with a 95% confidence interval (CI). Every physical fitness test showed good to excellent reproducibility with ICC ranging from 0.81 to 1.00 between trials 1 and 2. Agreement analysis presented limited evidence of systematic bias with mean difference lines close to 0 and without any specific positive or negative trend. In each physical fitness test, most observations were within the 95%CI limits, except for the standing broad jump in boys. The EUFITMOS battery is appropriate for use in low-income contexts such as the Amazonas, providing field-based physical fitness measures that can be used to collect important data and inform decision-making on young people’s health from low-income contexts.
Keywords
fitness testing, public health, reproducibility, surveillance
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